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4,521 results on '"Lutz, A M."'

2. Tensions in $e^+e^-\to\pi^+\pi^-(\gamma)$ measurements: the new landscape of data-driven hadronic vacuum polarization predictions for the muon $g-2$

Author

Davier, M., Hoecker, A., Lutz, A. M., Malaescu, B., and Zhang, Z.

Subjects
High Energy Physics - Phenomenology, High Energy Physics - Experiment
Abstract

The situation of the experimental data used in the dispersive evaluation of the hadronic vacuum polarization contribution to the anomalous magnetic moment of the muon is assessed in view of two recent measurements: $e^+e^- \to \pi^+\pi^-$ cross sections in the $\rho$ resonance region by CMD-3 and a study of higher-order radiative effects in the initial-state-radiation processes $e^+e^- \to \mu^+\mu^-\gamma$ and $e^+e^- \to \pi^+\pi^-\gamma$ by BABAR. The impact of the latter study on the KLOE and BESIII cross-section measurements is evaluated and found to be indicative of larger systematic effects than uncertainties assigned. The new situation also warrants a reappraisal of the independent information provided by hadronic $\tau$ decays, including state-of-the-art isospin-breaking corrections. The findings cast a new light on the longstanding deviation between the muon $g-2$ measurement and the Standard Model prediction using the data-driven dispersive approach, and the comparison with lattice QCD calculations., Comment: 15 pages, 12 figures, version 2 as published in EPJC

Published
2023
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3. MRI-based Neuropathy Score Reporting And Data System (NS-RADS): multi-institutional wider-experience usability study of peripheral neuropathy conditions among 32 radiology readers

Author

Chhabra, Avneesh, Duarte Silva, Flavio, Mogharrabi, Bayan, Guirguis, Mina, Ashikyan, Oganes, Rasper, Michael, Park, Eunhae, Walter, Sven S., Umpierrez, Monica, Pezeshk, Parham, Thurlow, Peter C., Jagadale, Akshaya, Bajaj, Gitanjali, Komarraju, Aparna, Wu, Jim S, Aguilera, Antonio, Cardoso, Fabiano Nassar, Souza, Felipe, Chaganti, SubbaRao, Antil, Neha, Manzano, Wilfred, Stebner, Alexander, Evers, Jochen, Petterson, Matthew, Geisbush, Thomas, Downing, Chad, Christensen, Diana, Horneber, Elizabeth, Kim, Jun Man, Purushothaman, Rangarajan, Mohanan, Shilpa, Raichandani, Surbhi, Vilanilam, George, Cabrera, Clementina, Manov, John, Maloney, Sean, Deshmukh, Swati D., Lutz, Amelie M., Fritz, Jan, Andreisek, Gustav, Chalian, Majid, Wong, Philip K., Pandey, Tarun, Subhawong, Ty, and Xi, Yin

Published
2024
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4. Rare variant contribution to the heritability of coronary artery disease

Author

Rocheleau, Ghislain, Clarke, Shoa L., Auguste, Gaëlle, Hasbani, Natalie R., Morrison, Alanna C., Heath, Adam S., Bielak, Lawrence F., Iyer, Kruthika R., Young, Erica P., Stitziel, Nathan O., Jun, Goo, Laurie, Cecelia, Broome, Jai G., Khan, Alyna T., Arnett, Donna K., Becker, Lewis C., Bis, Joshua C., Boerwinkle, Eric, Bowden, Donald W., Carson, April P., Ellinor, Patrick T., Fornage, Myriam, Franceschini, Nora, Freedman, Barry I., Heard-Costa, Nancy L., Hou, Lifang, Chen, Yii-Der Ida, Kenny, Eimear E., Kooperberg, Charles, Kral, Brian G., Loos, Ruth J. F., Lutz, Sharon M., Manson, JoAnn E., Martin, Lisa W., Mitchell, Braxton D., Nassir, Rami, Palmer, Nicholette D., Post, Wendy S., Preuss, Michael H., Psaty, Bruce M., Raffield, Laura M., Regan, Elizabeth A., Rich, Stephen S., Smith, Jennifer A., Taylor, Kent D., Yanek, Lisa R., Young, Kendra A., Hilliard, Austin T., Tcheandjieu, Catherine, Peyser, Patricia A., Vasan, Ramachandran S., Rotter, Jerome I., Miller, Clint L., Assimes, Themistocles L., de Vries, Paul S., and Do, Ron

Published
2024
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6. Multi-ancestry genome-wide study identifies effector genes and druggable pathways for coronary artery calcification

Author

Kavousi, Maryam, Bos, Maxime M, Barnes, Hanna J, Lino Cardenas, Christian L, Wong, Doris, Lu, Haojie, Hodonsky, Chani J, Landsmeer, Lennart PL, Turner, Adam W, Kho, Minjung, Hasbani, Natalie R, de Vries, Paul S, Bowden, Donald W, Chopade, Sandesh, Deelen, Joris, Benavente, Ernest Diez, Guo, Xiuqing, Hofer, Edith, Hwang, Shih-Jen, Lutz, Sharon M, Lyytikäinen, Leo-Pekka, Slenders, Lotte, Smith, Albert V, Stanislawski, Maggie A, van Setten, Jessica, Wong, Quenna, Yanek, Lisa R, Becker, Diane M, Beekman, Marian, Budoff, Matthew J, Feitosa, Mary F, Finan, Chris, Hilliard, Austin T, Kardia, Sharon LR, Kovacic, Jason C, Kral, Brian G, Langefeld, Carl D, Launer, Lenore J, Malik, Shaista, Hoesein, Firdaus AA Mohamed, Mokry, Michal, Schmidt, Reinhold, Smith, Jennifer A, Taylor, Kent D, Terry, James G, van der Grond, Jeroen, van Meurs, Joyce, Vliegenthart, Rozemarijn, Xu, Jianzhao, Young, Kendra A, Zilhão, Nuno R, Zweiker, Robert, Assimes, Themistocles L, Becker, Lewis C, Bos, Daniel, Carr, J Jeffrey, Cupples, L Adrienne, de Kleijn, Dominique PV, de Winther, Menno, den Ruijter, Hester M, Fornage, Myriam, Freedman, Barry I, Gudnason, Vilmundur, Hingorani, Aroon D, Hokanson, John E, Ikram, M Arfan, Išgum, Ivana, Jacobs, David R, Kähönen, Mika, Lange, Leslie A, Lehtimäki, Terho, Pasterkamp, Gerard, Raitakari, Olli T, Schmidt, Helena, Slagboom, P Eline, Uitterlinden, André G, Vernooij, Meike W, Bis, Joshua C, Franceschini, Nora, Psaty, Bruce M, Post, Wendy S, Rotter, Jerome I, Björkegren, Johan LM, O’Donnell, Christopher J, Bielak, Lawrence F, Peyser, Patricia A, Malhotra, Rajeev, van der Laan, Sander W, and Miller, Clint L

Subjects
Biological Sciences, Genetics, Prevention, Heart Disease - Coronary Heart Disease, Atherosclerosis, Heart Disease, Human Genome, Cardiovascular, 2.1 Biological and endogenous factors, Humans, Black People, Coronary Artery Disease, Genome-Wide Association Study, Risk Factors, European People, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Coronary artery calcification (CAC), a measure of subclinical atherosclerosis, predicts future symptomatic coronary artery disease (CAD). Identifying genetic risk factors for CAC may point to new therapeutic avenues for prevention. Currently, there are only four known risk loci for CAC identified from genome-wide association studies (GWAS) in the general population. Here we conducted the largest multi-ancestry GWAS meta-analysis of CAC to date, which comprised 26,909 individuals of European ancestry and 8,867 individuals of African ancestry. We identified 11 independent risk loci, of which eight were new for CAC and five had not been reported for CAD. These new CAC loci are related to bone mineralization, phosphate catabolism and hormone metabolic pathways. Several new loci harbor candidate causal genes supported by multiple lines of functional evidence and are regulators of smooth muscle cell-mediated calcification ex vivo and in vitro. Together, these findings help refine the genetic architecture of CAC and extend our understanding of the biological and potential druggable pathways underlying CAC.

Published
2023

7. Search for $B$ Mesogenesis at BABAR

Author

BABAR Collaboration, Lees, J. P., Poireau, V., Tisserand, V., Grauges, E., Palano, A., Eigen, G., Brown, D. N., Kolomensky, Yu. G., Fritsch, M., Koch, H., Cheaib, R., Hearty, C., Mattison, T. S., McKenna, J. A., So, R. Y., Blinov, V. E., Buzykaev, A. R., Druzhinin, V. P., Golubev, V. B., Kozyrev, E. A., Kravchenko, E. A., Onuchin, A. P., Serednyakov, S. I., Skovpen, Yu. I., Solodov, E. P., Todyshev, K. Yu., Lankford, A. J., Dey, B., Gary, J. W., Long, O., Eisner, A. M., Lockman, W. S., Vazquez, W. Panduro, Chao, D. S., Cheng, C. H., Echenard, B., Flood, K. T., Hitlin, D. G., Kim, J., Li, Y., Lin, D. X., Middleton, S., Miyashita, T. S., Ongmongkolkul, P., Oyang, J., Porter, F. C., Röhrken, M., Huard, Z., Meadows, B. T., Pushpawela, B. G., Sokoloff, M. D., Sun, L., Smith, J. G., Wagner, S. R., Bernard, D., Verderi, M., Bettoni, D., Bozzi, C., Calabrese, R., Cibinetto, G., Fioravanti, E., Garzia, I., Luppi, E., Santoro, V., Calcaterra, A., de Sangro, R., Finocchiaro, G., Martellotti, S., Patteri, P., Peruzzi, I. M., Piccolo, M., Rotondo, M., Zallo, A., Passaggio, S., Patrignani, C., Shuve, B. J., Lacker, H. M., Bhuyan, B., Mallik, U., Chen, C., Cochran, J., Prell, S., Gritsan, A. V., Arnaud, N., Davier, M., Diberder, F. Le, Lutz, A. M., Wormser, G., Lange, D. J., Wright, D. M., Coleman, J. P., Gabathuler, E., Hutchcroft, D. E., Payne, D. J., Touramanis, C., Bevan, A. J., Di Lodovico, F., Sacco, R., Cowan, G., Banerjee, Sw., Davis, C. L., Denig, A. G., Gradl, W., Griessinger, K., Hafner, A., Schubert, K. R., Barlow, R. J., Lafferty, G. D., Cenci, R., Jawahery, A., Roberts, D. A., Cowan, R., Robertson, S. H., Seddon, R. M., Neri, N., Palombo, F., Cremaldi, L., Godang, R., Summers, D. J., Taras, P., De Nardo, G., Sciacca, C., Raven, G., Jessop, C. P., LoSecco, J. M., Honscheid, K., Kass, R., Gaz, A., Margoni, M., Posocco, M., Simi, G., Simonetto, F., Stroili, R., Akar, S., Ben-Haim, E., Bomben, M., Bonneaud, G. R., Calderini, G., Chauveau, J., Marchiori, G., Ocariz, J., Biasini, M., Manoni, E., Rossi, A., Batignani, G., Bettarini, S., Carpinelli, M., Casarosa, G., Chrzaszcz, M., Forti, F., Giorgi, M. A., Lusiani, A., Oberhof, B., Paoloni, E., Rama, M., Rizzo, G., Walsh, J. J., Zani, L., Smith, A. J. S., Anulli, F., Faccini, R., Ferrarotto, F., Ferroni, F., Pilloni, A., Piredda, G., Bünger, C., Dittrich, S., Grünberg, O., Heß, M., Leddig, T., Voß, C., Waldi, R., Adye, T., Wilson, F. F., Emery, S., Vasseur, G., Aston, D., Cartaro, C., Convery, M. R., Dorfan, J., Dunwoodie, W., Ebert, M., Field, R. C., Fulsom, B. G., Graham, M. T., Hast, C., Innes, W. R., Kim, P., Leith, D. W. G. S., Luitz, S., MacFarlane, D. B., Muller, D. R., Neal, H., Ratcliff, B. N., Roodman, A., Sullivan, M. K., Va'vra, J., Wisniewski, W. J., Purohit, M. V., Wilson, J. R., Randle-Conde, A., Sekula, S. J., Ahmed, H., Tasneem, N., Bellis, M., Burchat, P. R., Puccio, E. M. T., Alam, M. S., Ernst, J. A., Gorodeisky, R., Guttman, N., Peimer, D. R., Soffer, A., Spanier, S. M., Ritchie, J. L., Schwitters, R. F., Izen, J. M., Lou, X. C., Bianchi, F., De Mori, F., Filippi, A., Gamba, D., Lanceri, L., Vitale, L., Martinez-Vidal, F., Oyanguren, A., Albert, J., Beaulieu, A., Bernlochner, F. U., King, G. J., Kowalewski, R., Lueck, T., Miller, C., Nugent, I. M., Roney, J. M., Sobie, R. J., Gershon, T. J., Harrison, P. F., Latham, T. E., Prepost, R., and Wu, S. L.

Subjects
High Energy Physics - Experiment
Abstract

A new mechanism has been proposed to simultaneously explain the presence of dark matter and the matter-antimatter asymmetry in the universe. This scenario predicts exotic $B$ meson decays into a baryon and a dark sector anti-baryon ($\psi_D$) with branching fractions accessible at $B$ factories. We present a search for $B \rightarrow \Lambda \psi_D$ decays using data collected by the $BABAR$ experiment at SLAC. This reaction is identified by fully reconstructing the accompanying $B$ meson and requiring the presence of a single $\Lambda$ baryon in the remaining particles. No significant signal is observed, and bounds on the $B \rightarrow \Lambda \psi_D$ branching fraction are derived in the range $0.13 - 5.2\times 10^{-5}$ for $1.0 < m_{\psi_D} < 4.2$ GeV/$c^{2}$. These results set strong constraints on the parameter space allowed by the theory.

Published
2023
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8. A comprehensive atlas of AAV tropism in the mouse

Author

Walkey, Christopher J., Snow, Kathy J., Bulcha, Jote, Cox, Aaron R., Martinez, Alexa E., Ljungberg, M. Cecilia, Lanza, Denise G., De Giorgi, Marco, Chuecos, Marcel A., Alves-Bezerra, Michele, Suarez, Carlos Flores, Hartig, Sean M., Hilsenbeck, Susan G., Hsu, Chih-Wei, Saville, Ethan, Gaitan, Yaned, Duryea, Jeff, Jr., Hannigan, Seth, Dickinson, Mary E., Mirochnitchenko, Oleg, Wang, Dan, Lutz, Cathleen M., Heaney, Jason D., Gao, Guangping, Murray, Stephen A., and Lagor, William R.

Published
2025
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9. Multi-ancestry transcriptome-wide association analyses yield insights into tobacco use biology and drug repurposing

Author

Chen, Fang, Wang, Xingyan, Jang, Seon-Kyeong, Quach, Bryan C, Weissenkampen, J Dylan, Khunsriraksakul, Chachrit, Yang, Lina, Sauteraud, Renan, Albert, Christine M, Allred, Nicholette DD, Arnett, Donna K, Ashley-Koch, Allison E, Barnes, Kathleen C, Barr, R Graham, Becker, Diane M, Bielak, Lawrence F, Bis, Joshua C, Blangero, John, Boorgula, Meher Preethi, Chasman, Daniel I, Chavan, Sameer, Chen, Yii-Der I, Chuang, Lee-Ming, Correa, Adolfo, Curran, Joanne E, David, Sean P, Fuentes, Lisa de las, Deka, Ranjan, Duggirala, Ravindranath, Faul, Jessica D, Garrett, Melanie E, Gharib, Sina A, Guo, Xiuqing, Hall, Michael E, Hawley, Nicola L, He, Jiang, Hobbs, Brian D, Hokanson, John E, Hsiung, Chao A, Hwang, Shih-Jen, Hyde, Thomas M, Irvin, Marguerite R, Jaffe, Andrew E, Johnson, Eric O, Kaplan, Robert, Kardia, Sharon LR, Kaufman, Joel D, Kelly, Tanika N, Kleinman, Joel E, Kooperberg, Charles, Lee, I-Te, Levy, Daniel, Lutz, Sharon M, Manichaikul, Ani W, Martin, Lisa W, Marx, Olivia, McGarvey, Stephen T, Minster, Ryan L, Moll, Matthew, Moussa, Karine A, Naseri, Take, North, Kari E, Oelsner, Elizabeth C, Peralta, Juan M, Peyser, Patricia A, Psaty, Bruce M, Rafaels, Nicholas, Raffield, Laura M, Reupena, Muagututi’a Sefuiva, Rich, Stephen S, Rotter, Jerome I, Schwartz, David A, Shadyab, Aladdin H, Sheu, Wayne H-H, Sims, Mario, Smith, Jennifer A, Sun, Xiao, Taylor, Kent D, Telen, Marilyn J, Watson, Harold, Weeks, Daniel E, Weir, David R, Yanek, Lisa R, Young, Kendra A, Young, Kristin L, Zhao, Wei, Hancock, Dana B, Jiang, Bibo, Vrieze, Scott, and Liu, Dajiang J

Subjects
Genetics, Tobacco, Drug Abuse (NIDA only), Tobacco Smoke and Health, Substance Misuse, Brain Disorders, Human Genome, Good Health and Well Being, Humans, Transcriptome, Drug Repositioning, Genome-Wide Association Study, Tobacco Use, Biology, Polymorphism, Single Nucleotide, Genetic Predisposition to Disease, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

Most transcriptome-wide association studies (TWASs) so far focus on European ancestry and lack diversity. To overcome this limitation, we aggregated genome-wide association study (GWAS) summary statistics, whole-genome sequences and expression quantitative trait locus (eQTL) data from diverse ancestries. We developed a new approach, TESLA (multi-ancestry integrative study using an optimal linear combination of association statistics), to integrate an eQTL dataset with a multi-ancestry GWAS. By exploiting shared phenotypic effects between ancestries and accommodating potential effect heterogeneities, TESLA improves power over other TWAS methods. When applied to tobacco use phenotypes, TESLA identified 273 new genes, up to 55% more compared with alternative TWAS methods. These hits and subsequent fine mapping using TESLA point to target genes with biological relevance. In silico drug-repurposing analyses highlight several drugs with known efficacy, including dextromethorphan and galantamine, and new drugs such as muscle relaxants that may be repurposed for treating nicotine addiction.

Published
2023

10. Stathmin-2 loss leads to neurofilament-dependent axonal collapse driving motor and sensory denervation

Author

López-Erauskin, Jone, Bravo-Hernandez, Mariana, Presa, Maximiliano, Baughn, Michael W., Melamed, Ze’ev, Beccari, Melinda S., Agra de Almeida Quadros, Ana Rita, Arnold-Garcia, Olatz, Zuberi, Aamir, Ling, Karen, Platoshyn, Oleksandr, Niño-Jara, Elkin, Ndayambaje, I. Sandra, McAlonis-Downes, Melissa, Cabrera, Larissa, Artates, Jonathan W., Ryan, Jennifer, Hermann, Anita, Ravits, John, Bennett, C. Frank, Jafar-Nejad, Paymaan, Rigo, Frank, Marsala, Martin, Lutz, Cathleen M., Cleveland, Don W., and Lagier-Tourenne, Clotilde

Published
2024
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15. Promoting validation and cross-phylogenetic integration in model organism research

Author

Cheng, Keith C, Burdine, Rebecca D, Dickinson, Mary E, Ekker, Stephen C, Lin, Alex Y, Lloyd, KC Kent, Lutz, Cathleen M, MacRae, Calum A, Morrison, John H, O'Connor, David H, Postlethwait, John H, Rogers, Crystal D, Sanchez, Susan, Simpson, Julie H, Talbot, William S, Wallace, Douglas C, Weimer, Jill M, and Bellen, Hugo J

Subjects
Biological Sciences, Bioinformatics and Computational Biology, Life Below Water, Animals, Biological Evolution, Humans, Phylogeny, Reproducibility of Results, Model organisms, Technology, Human diseases, Omics, Integration, Phenomics, Research resources, Validation, Medical and Health Sciences, Developmental Biology, Biological sciences, Biomedical and clinical sciences
Abstract

Model organism (MO) research provides a basic understanding of biology and disease due to the evolutionary conservation of the molecular and cellular language of life. MOs have been used to identify and understand the function of orthologous genes, proteins, cells and tissues involved in biological processes, to develop and evaluate techniques and methods, and to perform whole-organism-based chemical screens to test drug efficacy and toxicity. However, a growing richness of datasets and the rising power of computation raise an important question: How do we maximize the value of MOs? In-depth discussions in over 50 virtual presentations organized by the National Institutes of Health across more than 10 weeks yielded important suggestions for improving the rigor, validation, reproducibility and translatability of MO research. The effort clarified challenges and opportunities for developing and integrating tools and resources. Maintenance of critical existing infrastructure and the implementation of suggested improvements will play important roles in maintaining productivity and facilitating the validation of animal models of human biology and disease.

Published
2022

16. Whole-genome sequencing uncovers two loci for coronary artery calcification and identifies ARSE as a regulator of vascular calcification

Author

de Vries, Paul S., Conomos, Matthew P., Singh, Kuldeep, Nicholson, Christopher J., Jain, Deepti, Hasbani, Natalie R., Jiang, Wanlin, Lee, Sujin, Lino Cardenas, Christian L., Lutz, Sharon M., Wong, Doris, Guo, Xiuqing, Yao, Jie, Young, Erica P., Tcheandjieu, Catherine, Hilliard, Austin T., Bis, Joshua C., Bielak, Lawrence F., Brown, Michael R., Musharoff, Shaila, Clarke, Shoa L., Terry, James G., Palmer, Nicholette D., Yanek, Lisa R., Xu, Huichun, Heard-Costa, Nancy, Wessel, Jennifer, Selvaraj, Margaret Sunitha, Li, Rebecca H., Sun, Xiao, Turner, Adam W., Stilp, Adrienne M., Khan, Alyna, Newman, Anne B., Rasheed, Asif, Freedman, Barry I., Kral, Brian G., McHugh, Caitlin P., Hodonsky, Chani, Saleheen, Danish, Herrington, David M., Jacobs, Jr, David R., Nickerson, Deborah A., Boerwinkle, Eric, Wang, Fei Fei, Heiss, Gerardo, Jun, Goo, Kinney, Greg L., Sigurslid, Haakon H., Doddapaneni, HarshaVardhan, Hall, Ira M., Bensenor, Isabela M., Broome, Jai, Crapo, James D., Wilson, James G., Smith, Jennifer A., Blangero, John, Vargas, Jose D., Mosquera, Jose Verdezoto, Smith, Joshua D., Viaud-Martinez, Karine A., Ryan, Kathleen A., Young, Kendra A., Taylor, Kent D., Lange, Leslie A., Emery, Leslie S., Bittencourt, Marcio S., Budoff, Matthew J., Montasser, May E., Yu, Miao, Mahaney, Michael C., Mahamdeh, Mohammed S., Fornage, Myriam, Franceschini, Nora, Lotufo, Paulo A., Natarajan, Pradeep, Wong, Quenna, Mathias, Rasika A., Gibbs, Richard A., Do, Ron, Mehran, Roxana, Tracy, Russell P., Kim, Ryan W., Nelson, Sarah C., Damrauer, Scott M., Kardia, Sharon L. R., Rich, Stephen S., Fuster, Valentin, Napolioni, Valerio, Zhao, Wei, Tian, Wenjie, Yin, Xianyong, Min, Yuan-I, Manning, Alisa K., Peloso, Gina, Kelly, Tanika N., O’Donnell, Christopher J., Morrison, Alanna C., Curran, Joanne E., Zapol, Warren M., Bowden, Donald W., Becker, Lewis C., Correa, Adolfo, Mitchell, Braxton D., Psaty, Bruce M., Carr, John Jeffrey, Pereira, Alexandre C., Assimes, Themistocles L., Stitziel, Nathan O., Hokanson, John E., Laurie, Cecelia A., Rotter, Jerome I., Vasan, Ramachandran S., Post, Wendy S., Peyser, Patricia A., Miller, Clint L., and Malhotra, Rajeev

Published
2023
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18. Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical Reports

Author

Ha, Audrey Y, Do, Bao H, Bartret, Adam L, Fang, Charles X, Hsiao, Albert, Lutz, Amelie M, Banerjee, Imon, Riley, Geoffrey M, Rubin, Daniel L, Stevens, Kathryn J, Wang, Erin, Wang, Shannon, Beaulieu, Christopher F, and Hurt, Brian

Subjects
Bioengineering, Adolescent, Artificial Intelligence, Humans, Lumbar Vertebrae, Machine Learning, Reproducibility of Results, Retrospective Studies, Scoliosis, Cobb angle, Spine, Artificial intelligence, Deep learning, Convolutional neural network, Clinical Sciences, Nuclear Medicine & Medical Imaging
Abstract

Scoliosis is a condition of abnormal lateral spinal curvature affecting an estimated 2 to 3% of the US population, or seven million people. The Cobb angle is the standard measurement of spinal curvature in scoliosis but is known to have high interobserver and intraobserver variability. Thus, the objective of this study was to build and validate a system for automatic quantitative evaluation of the Cobb angle and to compare AI generated and human reports in the clinical setting. After IRB was obtained, we retrospectively collected 2150 frontal view scoliosis radiographs at a tertiary referral center (January 1, 2019, to January 1, 2021, ≥ 16 years old, no hardware). The dataset was partitioned into 1505 train (70%), 215 validation (10%), and 430 test images (20%). All thoracic and lumbar vertebral bodies were segmented with bounding boxes, generating approximately 36,550 object annotations that were used to train a Faster R-CNN Resnet-101 object detection model. A controller algorithm was written to localize vertebral centroid coordinates and derive the Cobb properties (angle and endplate) of dominant and secondary curves. AI-derived Cobb angle measurements were compared to the clinical report measurements, and the Spearman rank-order demonstrated significant correlation (0.89, p

Published
2022

19. Longitudinal Association Between Muscle Loss and Mortality in Ever Smokers

Author

Mason, Stefanie E, Moreta-Martinez, Rafael, Labaki, Wassim W, Strand, Matthew J, Regan, Elizabeth A, Bon, Jessica, San Jose Estepar, Ruben, Casaburi, Richard, McDonald, Merry-Lynn, Rossiter, Harry B, Make, Barry, Dransfield, Mark T, Han, MeiLan K, Young, Kendra, Curtis, Jeffrey L, Stringer, Kathleen, Kinney, Greg, Hokanson, John E, San Jose Estepar, Raul, Washko, George R, Crapo, James D, Silverman, Edwin K, Cummings, Sara, Madden, Kelley, Make, Barry J, Nabbosa, Juliet, Port, Emily, Rashdi, Serine, Stepp, Lori, Watts, Shandi, Weaver, Michael, Beaty, Terri, Bowler, Russell P, Lynch, David A, Regan, Elizabeth, Anderson, Gary, Bleecker, Eugene R, Coxson, Harvey O, Crystal, Ronald G, Hogg, James C, Province, Michael A, Rennard, Stephen I, Croxton, Thomas, Gan, Weiniu, Postow, Lisa A, Viviano, Lisa M, Costa-Davis, Corinne, Malanga, Elisha, Prieto, Delia, Tal-Singer, Ruth, Farzadegan, Homayoon, Hadji, Akila, Sathe, Leena, Baraghoshi, David, Chen, Grace, Crooks, James, Knowles, Ruthie, Pratte, Katherine, Wilson, Carla, Zelarney, Pearlanne T, Kechris, Katerina J, Leach, Sonia, Hokanson, Co-Chair John E, Austin, Erin E, Czizik, Annika, Kinney, Gregory, Li, Yisha, Lutz, Sharon M, Ragland, Margaret F, Richmond, Nicole, Young, Kendra A, Cho, Michael, Castaldi, Peter J, Glass, Kimberly, Hersh, Craig, Kim, Wonji, Liu, Yang-Yu, Hersh, Craig P, Bidinger, Jacqueline, Cho, Michael H, Conrad, Douglas, and DeMeo, Dawn L

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Clinical Research, Nutrition, Prevention, 2.1 Biological and endogenous factors, Good Health and Well Being, Body Composition, Body Mass Index, Humans, Longitudinal Studies, Lung, Pectoralis Muscles, Pulmonary Disease, Chronic Obstructive, Smokers, COPD, mortality, muscle wasting, sarcopenia, COPDGene Investigators, Respiratory System, Cardiovascular medicine and haematology, Clinical sciences
Abstract

BackgroundBody composition measures, specifically low weight or reduced muscle mass, are associated with mortality in COPD, but the effect of longitudinal body composition changes is undefined.Research questionIs the longitudinal loss of fat-free mass (FFM) associated with increased mortality, including in those with initially normal or elevated body composition metrics?Study design and methodsParticipants with complete data for at least one visit in the COPDGene study (n = 9,268) and the ECLIPSE study (n = 1,760) were included and monitored for 12 and 8 years, respectively. Pectoralis muscle area (PMA) was derived from thoracic CT scans and used as a proxy for FFM. A longitudinal mixed submodel for PMA and a Cox proportional hazards submodel for survival were fitted on a joint distribution, using a shared random intercept parameter and Markov chain Monte Carlo parameter estimation.ResultsBoth cohorts demonstrated a left-shifted distribution of baseline FFM, not reflected in BMI, and an increase in all-cause mortality risk associated with longitudinal loss of PMA. For each 1-cm2 PMA loss, mortality increased 3.1% (95% CI, 2.4%-3.7%; P < .001) in COPDGene, and 2.4% (95% CI, 0.9%-4.0%; P < .001) in ECLIPSE. Increased mortality risk was independent of enrollment values for BMI and disease severity [BODE (body mass, airflow obstruction, dyspnea, and exercise capacity) index quartiles] and was significant even in participants with initially greater than average PMA.InterpretationLongitudinal loss of PMA is associated with increased all-cause mortality, regardless of BMI or initial muscle mass. Consideration of novel screening tests and further research into mechanisms contributing to muscle decline may improve risk stratification and identify novel therapeutic targets in ever smokers.

Published
2022

20. Alpha-1 Antitrypsin MZ Heterozygosity Is an Endotype of Chronic Obstructive Pulmonary Disease.

Author

Ghosh, Auyon J, Hobbs, Brian D, Moll, Matthew, Saferali, Aabida, Boueiz, Adel, Yun, Jeong H, Sciurba, Frank, Barwick, Lucas, Limper, Andrew H, Flaherty, Kevin, Criner, Gerard, Brown, Kevin K, Wise, Robert, Martinez, Fernando J, Lomas, David, Castaldi, Peter J, Carey, Vincent J, DeMeo, Dawn L, Cho, Michael H, Silverman, Edwin K, Hersh, Craig P, Crapo, James D, Make, Barry J, Regan, Elizabeth A, Beaty, Terri H, El-Boueiz, Adel, Foreman, Marilyn G, Hayden, Lystra P, Hetmanski, Jacqueline, Hokanson, John E, Kim, Wonji, Laird, Nan, Lange, Christoph, Lutz, Sharon M, McDonald, Merry-Lynn, Prokopenko, Dmitry, Morrow, Jarrett, Qiao, Dandi, Sakornsakolpat, Phuwanat, Wan, Emily S, Centeno, Juan Pablo, Charbonnier, Jean-Paul, Coxson, Harvey O, Galban, Craig J, Han, MeiLan K, Hoffman, Eric A, Humphries, Stephen, Jacobson, Francine L, Judy, Philip F, Kazerooni, Ella A, Kluiber, Alex, Lynch, David A, Nardelli, Pietro, Newell, John D, Notary, Aleena, Oh, Andrea, Ross, James C, Estepar, Raul San Jose, Schroeder, Joyce, Sieren, Jered, Stoel, Berend C, Tschirren, Juerg, Van Beek, Edwin, van Ginneken, Bram, van Rikxoort, Eva, Sanchez-Ferrero, Gonzalo Vegas, Veitel, Lucas, Washko, George R, Wilson, Carla G, Jensen, Robert, Everett, Douglas, Crooks, Jim, Pratte, Katherine, Strand, Matt, Austin, Erin, Kinney, Gregory, Young, Kendra A, Bhatt, Surya P, Bon, Jessica, Diaz, Alejandro A, Make, Barry, Murray, Susan, Regan, Elizabeth, Soler, Xavier, Bowler, Russell P, Kechris, Katerina, Banaei-Kashani, Farnoush, Curtis, Jeffrey L, Pernicano, Perry G, and Hanania, Nicola

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Clinical Sciences, Chronic Obstructive Pulmonary Disease, Lung, Emphysema, Clinical Research, Aetiology, 2.1 Biological and endogenous factors, Respiratory, Adult, Aged, Aged, 80 and over, Case-Control Studies, Female, Genetic Markers, Genotype, Heterozygote, Humans, Longitudinal Studies, Male, Middle Aged, Phenotype, Pulmonary Disease, Chronic Obstructive, Respiratory Function Tests, Survival Analysis, Whole Genome Sequencing, alpha 1-Antitrypsin, COPDGene Investigators, RNA sequencing, alpha-1 antitrypsin, chronic obstructive pulmonary disease, meta-analysis, Medical and Health Sciences, Respiratory System, Cardiovascular medicine and haematology, Clinical sciences
Abstract

Rationale: Multiple studies have demonstrated an increased risk of chronic obstructive pulmonary disease (COPD) in heterozygous carriers of the AAT (alpha-1 antitrypsin) Z allele. However, it is not known if MZ subjects with COPD are phenotypically different from noncarriers (MM genotype) with COPD. Objectives: To assess if MZ subjects with COPD have different clinical features compared with MM subjects with COPD. Methods: Genotypes of SERPINA1 were ascertained by using whole-genome sequencing data in three independent studies. We compared outcomes between MM subjects with COPD and MZ subjects with COPD in each study and combined the results in a meta-analysis. We performed longitudinal and survival analyses to compare outcomes in MM and MZ subjects with COPD over time. Measurements and Main Results: We included 290 MZ subjects with COPD and 6,184 MM subjects with COPD across the three studies. MZ subjects had a lower FEV1% predicted and greater quantitative emphysema on chest computed tomography scans compared with MM subjects. In a meta-analysis, the FEV1 was 3.9% lower (95% confidence interval [CI], -6.55% to -1.26%) and emphysema (the percentage of lung attenuation areas

Published
2022

22. Precision measurement of the ${\cal B}(\Upsilon(3S)\to\tau^+\tau^-)/{\cal B}(\Upsilon(3S)\to\mu^+\mu^-)$ ratio

Author

Lees, J. P., Poireau, V., Tisserand, V., Grauges, E., Palano, A., Eigen, G., Brown, D. N., Kolomensky, Yu. G., Fritsch, M., Koch, H., Schroeder, T., Cheaib, R., Hearty, C., Mattison, T. S., McKenna, J. A., So, R. Y., Blinov, V. E., Buzykaev, A. R., Druzhinin, V. P., Golubev, V. B., Kozyrev, E. A., Kravchenko, E. A., Onuchin, A. P., Serednyakov, S. I., Skovpen, Yu. I., Solodov, E. P., Todyshev, K. Yu., Lankford, A. J., Dey, B., Gary, J. W., Long, O., Eisner, A. M., Lockman, W. S., Vazquez, W. Panduro, Chao, D. S., Cheng, C. H., Echenard, B., Flood, K. T., Hitlin, D. G., Kim, J., Li, Y., Lin, D. X., Miyashita, T. S., Ongmongkolkul, P., Oyang, J., Porter, F. C., Röhrken, M., Huard, Z., Meadows, B. T., Pushpawela, B. G., Sokoloff, M. D., Sun, L., Smith, J. G., Wagner, S. R., Bernard, D., Verderi, M., Bettoni, D., Bozzi, C., Calabrese, R., Cibinetto, G., Fioravanti, E., Garzia, I., Luppi, E., Santoro, V., Calcaterra, A., de Sangro, R., Finocchiaro, G., Martellotti, S., Patteri, P., Peruzzi, I. M., Piccolo, M., Rotondo, M., Zallo, A., Passaggio, S., Patrignani, C., Shuve, B. J., Lacker, H. M., Bhuyan, B., Mallik, U., Chen, C., Cochran, J., Prell, S., Gritsan, A. V., Arnaud, N., Davier, M., Diberder, F. Le, Lutz, A. M., Wormser, G., Lange, D. J., Wright, D. M., Coleman, J. P., Gabathuler, E., Hutchcroft, D. E., Payne, D. J., Touramanis, C., Bevan, A. J., Di Lodovico, F., Sacco, R., Cowan, G., Banerjee, Sw., Davis, C. L., Denig, A. G., Gradl, W., Griessinger, K., Hafner, A., Schubert, K. R., Barlow, R. J., Lafferty, G. D., Cenci, R., Jawahery, A., Roberts, D. A., Cowan, R., Robertson, S. H., Seddon, R. M., Neri, N., Palombo, F., Cremaldi, L., Godang, R., Summers, D. J., Taras, P., De Nardo, G., Sciacca, C., Raven, G., Jessop, C. P., LoSecco, J. M., Honscheid, K., Kass, R., Gaz, A., Margoni, M., Posocco, M., Simi, G., Simonetto, F., Stroili, R., Akar, S., Ben-Haim, E., Bomben, M., Bonneaud, G. R., Calderini, G., Chauveau, J., Marchiori, G., Ocariz, J., Biasini, M., Manoni, E., Rossi, A., Batignani, G., Bettarini, S., Carpinelli, M., Casarosa, G., Chrzaszcz, M., Forti, F., Giorgi, M. A., Lusiani, A., Oberhof, B., Paoloni, E., Rama, M., Rizzo, G., Walsh, J. J., Zani, L., Smith, A. J. S., Anulli, F., Faccini, R., Ferrarotto, F., Ferroni, F., Pilloni, A., Piredda, G., Bünger, C., Dittrich, S., Grünberg, O., Heß, M., Leddig, T., Voß, C., Waldi, R., Adye, T., Wilson, F. F., Emery, S., Vasseur, G., Aston, D., Cartaro, C., Convery, M. R., Dorfan, J., Dunwoodie, W., Ebert, M., Field, R. C., Fulsom, B. G., Graham, M. T., Hast, C., Innes, W. R., Kim, P., Leith, D. W. G. S., Luitz, S., MacFarlane, D. B., Muller, D. R., Neal, H., Ratcliff, B. N., Roodman, A., Sullivan, M. K., Va'vra, J., Wisniewski, W. J., Purohit, M. V., Wilson, J. R., Randle-Conde, A., Sekula, S. J., Ahmed, H., Bellis, M., Burchat, P. R., Puccio, E. M. T., Alam, M. S., Ernst, J. A., Gorodeisky, R., Guttman, N., Peimer, D. R., Soffer, A., Spanier, S. M., Ritchie, J. L., Schwitters, R. F., Izen, J. M., Lou, X. C., Bianchi, F., De Mori, F., Filippi, A., Gamba, D., Lanceri, L., Vitale, L., Martinez-Vidal, F., Oyanguren, A., Albert, J., Beaulieu, A., Bernlochner, F. U., King, G. J., Kowalewski, R., Lueck, T., Nugent, I. M., Roney, J. M., Sibidanov, A., Sobie, R. J., Tasneem, N., Gershon, T. J., Harrison, P. F., Latham, T. E., Prepost, R., and Wu, S. L.

Subjects
High Energy Physics - Experiment
Abstract

We report on a precision measurement of the ratio ${\cal R}_{\tau\mu}^{\Upsilon(3S)} = {\cal B}(\Upsilon(3S)\to\tau^+\tau^-)/{\cal B}(\Upsilon(3S)\to\mu^+\mu^-)$ using data collected with the BaBar detector at the SLAC PEP-II $e^+e^-$ collider. The measurement is based on a 28 fb$^{-1}$ data sample collected at a center-of-mass energy of 10.355 GeV corresponding to a sample of 122 million $\Upsilon(3S)$ mesons. The ratio is measured to be ${\cal R}_{\tau\mu}^{\Upsilon(3S)} = 0.966 \pm 0.008_\mathrm{stat} \pm 0.014_\mathrm{syst}$ and is in agreement with the Standard Model prediction of 0.9948 within 2 standard deviations. The uncertainty in ${\cal R}_{\tau\mu}^{\Upsilon(3S)}$ is almost an order of magnitude smaller than the only previous measurement., Comment: 8 pages, 4 figures, 3 tables

Published
2020
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23. Search for lepton-flavor violating decays $D^{0}\rightarrow X^{0}e^{\pm}\mu^{\mp}$

Author

BaBar Collaboration, Lees, J. P., Poireau, V., Tisserand, V., Grauges, E., Palano, A., Eigen, G., Brown, D. N., Kolomensky, Yu. G., Fritsch, M., Koch, H., Schroeder, T., Cheaib, R., Hearty, C., Mattison, T. S., McKenna, J. A., So, R. Y., Blinov, V. E., Buzykaev, A. R., Druzhinin, V. P., Golubev, V. B., Kozyrev, E. A., Kravchenko, E. A., Onuchin, A. P., Serednyakov, S. I., Skovpen, Yu. I., Solodov, E. P., Todyshev, K. Yu., Lankford, A. J., Dey, B., Gary, J. W., Long, O., Eisner, A. M., Lockman, W. S., Panduro, W., Chao, D. S., Cheng, C. H., Echenard, B., Flood, K. T., Hitlin, D. G., Kim, J., Li, Y., Lin, D. X., Miyashita, T. S., Ongmongkolkul, P., Oyang, J., Porter, F. C., R, M., Huard, Z., Meadows, B. T., Pushpawela, B. G., Sokoloff, M. D., Sun, L., Smith, J. G., Wagner, S. R., Bernard, D., Verderi, M., Bettoni, D., Bozzi, C., Calabrese, R., Cibinetto, G., Fioravanti, E., Garzia, I., Luppi, E., Santoro, V., Calcaterra, A., de Sangro, R., Finocchiaro, G., Martellotti, S., Patteri, P., Peruzzi, I. M., Piccolo, M., Rotondo, M., Zallo, A., Passaggio, S., Patrignani, C., Shuve, B. J., Lacker, H. M., Bhuyan, B., Mallik, U., Chen, C., Cochran, J., Prell, S., Gritsan, A. V., Arnaud, N., Davier, M., Diberder, F. Le, Lutz, A. M., Wormser, G., Lange, D. J., Wright, D. M., Coleman, J. P., Gabathuler, E., Hutchcroft, D. E., Payne, D. J., Touramanis, C., Bevan, A. J., Di Lodovico, F., Sacco, R., Cowan, G., Banerjee, Sw., Davis, C. L., Denig, A. G., Gradl, W., Griessinger, K., Hafner, A., Schubert, K. R., Barlow, R. J., Lafferty, G. D., Cenci, R., Jawahery, A., Roberts, D. A., Cowan, R., Robertson, S. H., Seddon, R. M., Neri, N., Palombo, F., Cremaldi, L., Godang, R., Summers, D. J., Taras, P., De, G., Sciacca, C., Raven, G., Jessop, C. P., LoSecco, J. M., Honscheid, K., Kass, R., Gaz, A., Margoni, M., Posocco, M., Simi, G., Simonetto, F., Stroili, R., Akar, S., Ben, E., Bomben, M., Bonneaud, G. R., Calderini, G., Chauveau, J., Marchiori, G., Ocariz, J., Biasini, M., Manoni, E., Rossi, A., Batignani, G., Bettarini, S., Carpinelli, M., Casarosa, G., Chrzaszcz, M., Forti, F., Giorgi, M. A., Lusiani, A., Oberhof, B., Paoloni, E., Rama, M., Rizzo, G., Walsh, J. J., Zani, L., Smith, A. J. S., Anulli, F., Faccini, R., Ferrarotto, F., Ferroni, F., Pilloni, A., Piredda, G., B, C., Dittrich, S., Gr, O., He, M., Leddig, T., Vo, C., Waldi, R., Adye, T., Wilson, F. F., Emery, S., Vasseur, G., Aston, D., Cartaro, C., Convery, M. R., Dorfan, J., Dunwoodie, W., Ebert, M., Field, R. C., Fulsom, B. G., Graham, M. T., Hast, C., Innes, W. R., Kim, P., Leith, D. W. G. S., Luitz, S., MacFarlane, D. B., Muller, D. R., Neal, H., Ratcliff, B. N., Roodman, A., Sullivan, M. K., Va, J., Wisniewski, W. J., Purohit, M. V., Wilson, J. R., Randle, A., Sekula, S. J., Ahmed, H., Bellis, M., Burchat, P. R., Puccio, E. M. T., Alam, M. S., Ernst, J. A., Gorodeisky, R., Guttman, N., Peimer, D. R., Soffer, A., Spanier, S. M., Ritchie, J. L., Schwitters, R. F., Izen, J. M., Lou, X. C., Bianchi, F., De, F., Filippi, A., Gamba, D., Lanceri, L., Vitale, L., Martinez, F., Oyanguren, A., Albert, J., Beaulieu, A., Bernlochner, F. U., King, G. J., Kowalewski, R., Lueck, T., Nugent, I. M., Roney, J. M., Sobie, R. J., Tasneem, N., Gershon, T. J., Harrison, P. F., Latham, T. E., Prepost, R., and Wu, S. L.

Subjects
High Energy Physics - Experiment
Abstract

We present a search for seven lepton-flavor-violating neutral charm decays of the type $D^{0}\rightarrow X^{0} e^{\pm} \mu^{\mp}$, where $X^{0}$ represents a $\pi^{0}$, $K^{0}_{\rm S}$, $\bar{K^{*0}}$, $\rho^{0}$, $\phi$, $\omega$, or $\eta$ meson. The analysis is based on $468$ fb$^{-1}$ of $e^+e^-$ annihilation data collected at or close to the $\Upsilon(4S)$ resonance with the BaBar detector at the SLAC National Accelerator Laboratory. No significant signals are observed, and we establish 90\% confidence level upper limits on the branching fractions in the range $(5.0 - 22.5)\times 10^{-7}$. The limits are between one and two orders of magnitude more stringent than previous measurements., Comment: 12 pages, 2 figures, to be submitted to Physical Review D. arXiv admin note: text overlap with arXiv:1905.00608

Published
2020
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24. Genetic variation in genes regulating skeletal muscle regeneration and tissue remodelling associated with weight loss in chronic obstructive pulmonary disease

Author

Kumar, Preeti Lakshman, Wilson, Ava C, Rocco, Alison, Cho, Michael H, Wan, Emily, Hobbs, Brian D, Washko, George R, Ortega, Victor E, Christenson, Stephanie A, Li, Xingnan, Wells, J Michael, Bhatt, Surya P, DeMeo, Dawn L, Lutz, Sharon M, Rossiter, Harry, Casaburi, Richard, Rennard, Stephen I, Lomas, David A, Labaki, Wassim W, Tal‐Singer, Ruth, Bowler, Russel P, Hersh, Craig P, Tiwari, Hemant K, Dransfield, Mark, Thalacker‐Mercer, Anna, Meyers, Deborah A, Silverman, Edwin K, McDonald, Merry‐Lynn N, and COPDGene, ECLIPSE and SPIROMICS investigators

Subjects
Epidemiology, Health Sciences, Nutrition, Lung, Genetics, Prevention, Chronic Obstructive Pulmonary Disease, Human Genome, Clinical Research, 2.1 Biological and endogenous factors, 1.1 Normal biological development and functioning, Respiratory, Adult, Bayes Theorem, Genetic Variation, Genome-Wide Association Study, Humans, Muscle, Skeletal, Nerve Tissue Proteins, Pulmonary Disease, Chronic Obstructive, Regeneration, Weight Loss, GWAS, Cachexia, Weight loss, COPD, Biomarkers, Skeletal muscle regeneration, Tissue remodelling, COPDGene, ECLIPSE and SPIROMICS investigators, Physiology, Clinical Sciences, Human Movement and Sports Sciences, Clinical sciences, Allied health and rehabilitation science, Sports science and exercise
Abstract

BackgroundChronic obstructive pulmonary disease (COPD) is the third leading cause of death globally. COPD patients with cachexia or weight loss have increased risk of death independent of body mass index (BMI) and lung function. We tested the hypothesis genetic variation is associated with weight loss in COPD using a genome-wide association study approach.MethodsParticipants with COPD (N = 4308) from three studies (COPDGene, ECLIPSE, and SPIROMICS) were analysed. Discovery analyses were performed in COPDGene with replication in SPIROMICS and ECLIPSE. In COPDGene, weight loss was defined as self-reported unintentional weight loss > 5% in the past year or low BMI (BMI

Published
2021

25. Emphysema Progression and Lung Function Decline Among Angiotensin Converting Enzyme Inhibitors and Angiotensin-Receptor Blockade Users in the COPDGene Cohort

Author

Tejwani, Vickram, Fawzy, Ashraf, Putcha, Nirupama, Castaldi, Peter J, Cho, Michael H, Pratte, Katherine A, Bhatt, Surya P, Lynch, David A, Humphries, Stephen M, Kinney, Gregory L, D’Alessio, Franco R, Hansel, Nadia N, Crapo, James D, Silverman, Edwin K, Make, Barry J, Regan, Elizabeth A, Beaty, Terri, Begum, Ferdouse, Cho, Michael, DeMeo, Dawn L, Boueiz, Adel R, Foreman, Marilyn G, Halper-Stromberg, Eitan, Hayden, Lystra P, Hersh, Craig P, Hetmanski, Jacqueline, Hobbs, Brian D, Hokanson, John E, Laird, Nan, Lange, Christoph, Lutz, Sharon M, McDonald, Merry-Lynn, Parker, Margaret M, Prokopenko, Dmitry, Qiao, Dandi, Regan, Elizabeth, Sakornsakolpat, Phuwanat, Wan, Emily S, Won, Sungho, Centeno, Juan Pablo, Charbonnier, Jean-Paul, Coxson, Harvey O, Galban, Craig J, Han, MeiLan K, Hoffman, Eric A, Humphries, Stephen, Jacobson, Francine L, Judy, Philip F, Kazerooni, Ella A, Kluiber, Alex, Nardelli, Pietro, Newell, John D, Notary, Aleena, Oh, Andrea, Ross, James C, San Jose Estepar, Raul, Schroeder, Joyce, Sieren, Jered, Stoel, Berend C, Tschirren, Juerg, Van Beek, Edwin, Ginneken, Bramvan, van Rikxoort, Eva, Sanchez-Ferrero, Gonzalo Vegas, Veitel, Lucas, Washko, George R, Wilson, Carla G, Jensen, Robert, Everett, Douglas, Crooks, Jim, Pratte, Katherine, Strand, Matt, Kinney, Gregory, Young, Kendra A, Bon, Jessica, Diaz, Alejandro A, Make, Barry, Murray, Susan, Soler, Xavier, Bowler, Russell P, Kechris, Katerina, Banaei-Kashani, Farnoush, Curtis, Jeffrey L, Pernicano, Perry G, Hanania, Nicola, Atik, Mustafa, Boriek, Aladin, Guntupalli, Kalpatha, and Guy, Elizabeth

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Clinical Sciences, Clinical Research, Emphysema, Lung, Tobacco, Chronic Obstructive Pulmonary Disease, Tobacco Smoke and Health, Cancer, Respiratory, Aged, Angiotensin Receptor Antagonists, Angiotensin-Converting Enzyme Inhibitors, Cohort Studies, Disease Progression, Female, Forced Expiratory Volume, Humans, Lung Volume Measurements, Male, Middle Aged, Prospective Studies, Protective Factors, Pulmonary Disease, Chronic Obstructive, Pulmonary Emphysema, Spirometry, Tomography, X-Ray Computed, Vital Capacity, Walk Test, angiotensin II, COPD, emphysema progression, COPDGene Investigators, Respiratory System, Cardiovascular medicine and haematology, Clinical sciences
Abstract

BackgroundAttenuation of transforming growth factor β by blocking angiotensin II has been shown to reduce emphysema in a murine model. General population studies have demonstrated that the use of angiotensin converting enzyme inhibitors (ACEis) and angiotensin-receptor blockers (ARBs) is associated with reduction of emphysema progression in former smokers and that the use of ACEis is associated with reduction of FEV1 progression in current smokers.Research questionIs use of ACEi and ARB associated with less progression of emphysema and FEV1 decline among individuals with COPD or baseline emphysema?MethodsFormer and current smokers from the Genetic Epidemiology of COPD Study who attended baseline and 5-year follow-up visits, did not change smoking status, and underwent chest CT imaging were included. Adjusted linear mixed models were used to evaluate progression of adjusted lung density (ALD), percent emphysema (%total lung volume

Published
2021

26. The Association Between Lung Hyperinflation and Coronary Artery Disease in Smokers

Author

Chandra, Divay, Gupta, Aman, Kinney, Gregory L, Fuhrman, Carl R, Leader, Joseph K, Diaz, Alejandro A, Bon, Jessica, Barr, R Graham, Washko, George, Budoff, Matthew, Hokanson, John, Sciurba, Frank C, Crapo, James D, Silverman, Edwin K, Make, Barry J, Regan, Elizabeth A, Beaty, Terri, Begum, Ferdouse, Boueiz, Adel R, Castaldi, Peter J, Cho, Michael, DeMeo, Dawn L, Foreman, Marilyn G, Halper-Stromberg, Eitan, Hayden, Lystra P, Hersh, Craig P, Hetmanski, Jacqueline, Hobbs, Brian D, Hokanson, John E, Laird, Nan, Lange, Christoph, Lutz, Sharon M, McDonald, Merry-Lynn, Parker, Margaret M, Prokopenko, Dmitry, Qiao, Dandi, Sakornsakolpat, Phuwanat, Wan, Emily S, Won, Sungho, Al Qaisi, Mustafa, Coxson, Harvey O, Gray, Teresa, Han, MeiLan K, Hoffman, Eric A, Humphries, Stephen, Jacobson, Francine L, Judy, Philip F, Kazerooni, Ella A, Kluiber, Alex, Lynch, David A, Newell, John D, Ross, James C, San Jose Estepar, Raul, Schroeder, Joyce, Sieren, Jered, Stinson, Douglas, Stoel, Berend C, Tschirren, Juerg, Van Beek, Edwin, van Ginneken, Bram, van Rikxoort, Eva, Wilson, Carla G, Jensen, Robert, Crooks, Jim, Everett, Douglas, Moore, Camille, Strand, Hughes, John, Kinney, Gregory, Pratte, Katherine, Young, Kendra A, Bhatt, Surya, Martinez, Carlos, Murray, Susan, Soler, Xavier, Banaei-Kashani, Farnoush, Bowler, Russell P, Kechris, Katerina, Curtis, Jeffrey L, Pernicano, Perry G, Hanania, Nicola, Atik, Mustafa, Boriek, Aladin, Guntupalli, Kalpatha, Guy, Elizabeth, and Parulekar, Amit

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Clinical Sciences, Lung, Heart Disease, Prevention, Atherosclerosis, Heart Disease - Coronary Heart Disease, Chronic Obstructive Pulmonary Disease, Emphysema, Tobacco Smoke and Health, Biomedical Imaging, Tobacco, Cardiovascular, Clinical Research, Respiratory, Good Health and Well Being, Airway Obstruction, Airway Remodeling, Asymptomatic Diseases, Biological Variation, Population, Coronary Artery Disease, Coronary Vessels, Female, Humans, Male, Middle Aged, Organ Size, Plethysmography, Pulmonary Emphysema, Respiratory Function Tests, Risk Factors, Smoking, Tomography, X-Ray Computed, United States, COPD, coronary artery disease, lung hyperinflation, smoking, COPDGene Investigators, Respiratory System, Cardiovascular medicine and haematology, Clinical sciences
Abstract

BackgroundSmokers manifest varied phenotypes of pulmonary impairment.Research questionWhich pulmonary phenotypes are associated with coronary artery disease (CAD) in smokers?Study design and methodsWe analyzed data from the University of Pittsburgh COPD Specialized Center for Clinically Oriented Research (SCCOR) cohort (n = 481) and the Genetic Epidemiology of COPD (COPDGene) cohort (n = 2,580). Participants were current and former smokers with > 10 pack-years of tobacco exposure. Data from the two cohorts were analyzed separately because of methodologic differences. Lung hyperinflation was assessed by plethysmography in the SCCOR cohort and by inspiratory and expiratory CT scan lung volumes in the COPDGene cohort. Subclinical CAD was assessed as the coronary artery calcium score, whereas clinical CAD was defined as a self-reported history of CAD or myocardial infarction (MI). Analyses were performed in all smokers and then repeated in those with airflow obstruction (FEV1 to FVC ratio, < 0.70).ResultsPulmonary phenotypes, including airflow limitation, emphysema, lung hyperinflation, diffusion capacity, and radiographic measures of airway remodeling, showed weak to moderate correlations (r < 0.7) with each other. In multivariate models adjusted for pulmonary phenotypes and CAD risk factors, lung hyperinflation was the only phenotype associated with calcium score, history of clinical CAD, or history of MI (per 0.2 higher expiratory and inspiratory CT scan lung volume; coronary calcium: OR, 1.2; 95% CI, 1.1-1.5; P = .02; clinical CAD: OR, 1.6; 95% CI, 1.1-2.3; P = .01; and MI in COPDGene: OR, 1.7; 95% CI, 1.0-2.8; P = .05). FEV1 and emphysema were associated with increased risk of CAD (P < .05) in models adjusted for CAD risk factors; however, these associations were attenuated on adjusting for lung hyperinflation. Results were the same in those with airflow obstruction and were present in both cohorts.InterpretationLung hyperinflation is associated strongly with clinical and subclinical CAD in smokers, including those with airflow obstruction. After lung hyperinflation was accounted for, FEV1 and emphysema no longer were associated with CAD. Subsequent studies should consider measuring lung hyperinflation and examining its mechanistic role in CAD in current and former smokers.

Published
2021

27. Pulmonary Arterial Pruning and Longitudinal Change in Percent Emphysema and Lung Function The Genetic Epidemiology of COPD Study

Author

Pistenmaa, Carrie L, Nardelli, P, Ash, SY, Come, CE, Diaz, AA, Rahaghi, FN, Barr, RG, Young, KA, Kinney, GL, Simmons, JP, Wade, RC, Wells, JM, Hokanson, JE, Washko, GR, San José Estépar, R, Crapo, James D, Silverman, Edwin K, Make, Barry J, Regan, Elizabeth A, Beaty, Terri H, Castaldi, Peter J, Cho, Michael H, DeMeo, Dawn L, Boueiz, Adel El, Foreman, Marilyn G, Ghosh, Auyon, Hayden, Lystra P, Hersh, Craig P, Hetmanski, Jacqueline, Hobbs, Brian D, Hokanson, John E, Kim, Wonji, Laird, Nan, Lange, Christoph, Lutz, Sharon M, McDonald, Merry-Lynn, Prokopenko, Dmitry, Moll, Matthew, Morrow, Jarrett, Qiao, Dandi, Regan, Elizabeth, Saferali, Aabida, Sakornsakolpat, Phuwanat, Wan, Emily S, Yun, Jeong, Centeno, Juan Pablo, Charbonnier, Jean-Paul, Coxson, Harvey O, Galban, Craig J, Han, MeiLan K, Hoffman, Eric A, Humphries, Stephen, Jacobson, Francine L, Judy, Philip F, Kazerooni, Ella A, Kluiber, Alex, Lynch, David A, Nardelli, Pietro, Newell, John D, Notary, Aleena, Oh, Andrea, Ross, James C, San Jose Estepar, Raul, Schroeder, Joyce, Sieren, Jered, Stoel, Berend C, Tschirren, Juerg, Van Beek, Edwin, Ginneken, Bramvan, van Rikxoort, Eva, Ferrero, Gonzalo Vegas Sanchez-, Veitel, Lucas, Washko, George R, Wilson, Carla G, Jensen, Robert, Everett, Douglas, Crooks, Jim, Pratte, Katherine, Strand, Matt, Austin, Erin, Kinney, Gregory, Young, Kendra A, Bhatt, Surya P, Bon, Jessica, Diaz, Alejandro A, Make, Barry, Murray, Susan, Soler, Xavier, Bowler, Russell P, Kechris, Katerina, Banaei-Kashani, Farnoush, and Curtis, Jeffrey L

Subjects
Emphysema, Tobacco, Tobacco Smoke and Health, Lung, Chronic Obstructive Pulmonary Disease, Clinical Research, Biomedical Imaging, Respiratory, Disease Progression, Endothelium, Vascular, Female, Humans, Longitudinal Studies, Male, Middle Aged, Pulmonary Artery, Pulmonary Disease, Chronic Obstructive, Respiratory Function Tests, Smokers, Tomography, X-Ray Computed, emphysema, imaging, longitudinal, lung function, pulmonary circulation, COPDGene Investigators, Clinical Sciences, Respiratory System
Abstract

BackgroundPulmonary endothelial damage has been shown to precede the development of emphysema in animals, and vascular changes in humans have been observed in COPD and emphysema.Research questionIs intraparenchymal vascular pruning associated with longitudinal progression of emphysema on CT imaging or decline in lung function over 5 years?Study design and methodsThe Genetic Epidemiology of COPD Study enrolled ever smokers with and without COPD from 2008 through 2011. The percentage of emphysema-like lung, or "percent emphysema," was assessed at baseline and after 5 years on noncontrast CT imaging as the percentage of lung voxels < -950 Hounsfield units. An automated CT imaging-based tool assessed and classified intrapulmonary arteries and veins. Spirometry measures are postbronchodilator. Pulmonary arterial pruning was defined as a lower ratio of small artery volume (< 5 mm2 cross-sectional area) to total lung artery volume. Mixed linear models included demographics, anthropomorphics, smoking, and COPD, with emphysema models also adjusting for CT imaging scanner and lung function models adjusting for clinical center and baseline percent emphysema.ResultsAt baseline, the 4,227 participants were 60 ± 9 years of age, 50% were women, 28% were Black, 47% were current smokers, and 41% had COPD. Median percent emphysema was 2.1 (interquartile range, 0.6-6.3) and progressed 0.24 percentage points/y (95% CI, 0.22-0.26 percentage points/y) over 5.6 years. Mean FEV1 to FVC ratio was 68.5 ± 14.2% and declined 0.26%/y (95% CI, -0.30 to -0.23%/y). Greater pulmonary arterial pruning was associated with more rapid progression of percent emphysema (0.11 percentage points/y per 1-SD increase in arterial pruning; 95% CI, 0.09-0.16 percentage points/y), including after adjusting for baseline percent emphysema and FEV1. Arterial pruning also was associated with a faster decline in FEV1 to FVC ratio (-0.04%/y per 1-SD increase in arterial pruning; 95% CI, -0.008 to -0.001%/y).InterpretationPulmonary arterial pruning was associated with faster progression of percent emphysema and more rapid decline in FEV1 to FVC ratio over 5 years in ever smokers, suggesting that pulmonary vascular differences may be relevant in disease progression.Trial registryClinicalTrials.gov; No.: NCT00608764; URL: www.clinicaltrials.gov.

Published
2021

28. The NIH Somatic Cell Genome Editing program

Author

Saha, Krishanu, Sontheimer, Erik J, Brooks, PJ, Dwinell, Melinda R, Gersbach, Charles A, Liu, David R, Murray, Stephen A, Tsai, Shengdar Q, Wilson, Ross C, Anderson, Daniel G, Asokan, Aravind, Banfield, Jillian F, Bankiewicz, Krystof S, Bao, Gang, Bulte, Jeff WM, Bursac, Nenad, Campbell, Jarryd M, Carlson, Daniel F, Chaikof, Elliot L, Chen, Zheng-Yi, Cheng, R Holland, Clark, Karl J, Curiel, David T, Dahlman, James E, Deverman, Benjamin E, Dickinson, Mary E, Doudna, Jennifer A, Ekker, Stephen C, Emborg, Marina E, Feng, Guoping, Freedman, Benjamin S, Gamm, David M, Gao, Guangping, Ghiran, Ionita C, Glazer, Peter M, Gong, Shaoqin, Heaney, Jason D, Hennebold, Jon D, Hinson, John T, Khvorova, Anastasia, Kiani, Samira, Lagor, William R, Lam, Kit S, Leong, Kam W, Levine, Jon E, Lewis, Jennifer A, Lutz, Cathleen M, Ly, Danith H, Maragh, Samantha, McCray, Paul B, McDevitt, Todd C, Mirochnitchenko, Oleg, Morizane, Ryuji, Murthy, Niren, Prather, Randall S, Ronald, John A, Roy, Subhojit, Roy, Sushmita, Sabbisetti, Venkata, Saltzman, W Mark, Santangelo, Philip J, Segal, David J, Shimoyama, Mary, Skala, Melissa C, Tarantal, Alice F, Tilton, John C, Truskey, George A, Vandsburger, Moriel, Watts, Jonathan K, Wells, Kevin D, Wolfe, Scot A, Xu, Qiaobing, Xue, Wen, Yi, Guohua, and Zhou, Jiangbing

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Biotechnology, Human Genome, Gene Therapy, 5.2 Cellular and gene therapies, Generic health relevance, Animals, Cells, Gene Editing, Genetic Therapy, Genome, Human, Goals, Humans, National Institutes of Health (U.S.), United States, SCGE Consortium, General Science & Technology
Abstract

The move from reading to writing the human genome offers new opportunities to improve human health. The United States National Institutes of Health (NIH) Somatic Cell Genome Editing (SCGE) Consortium aims to accelerate the development of safer and more-effective methods to edit the genomes of disease-relevant somatic cells in patients, even in tissues that are difficult to reach. Here we discuss the consortium's plans to develop and benchmark approaches to induce and measure genome modifications, and to define downstream functional consequences of genome editing within human cells. Central to this effort is a rigorous and innovative approach that requires validation of the technology through third-party testing in small and large animals. New genome editors, delivery technologies and methods for tracking edited cells in vivo, as well as newly developed animal models and human biological systems, will be assembled-along with validated datasets-into an SCGE Toolkit, which will be disseminated widely to the biomedical research community. We visualize this toolkit-and the knowledge generated by its applications-as a means to accelerate the clinical development of new therapies for a wide range of conditions.

Published
2021

29. Management after acute rupture of the anterior cruciate ligament (ACL). Part 1: ACL reconstruction has a protective effect on secondary meniscus and cartilage lesions

Author

Petersen, Wolf, Guenther, Daniel, Imhoff, Andreas B., Herbort, Mirco, Stein, Thomas, Schoepp, Christian, Akoto, Ralph, Höher, Jürgen, Scheffler, Sven, Stoehr, Amelie, Stoffels, Thomas, Häner, Martin, Hees, Tilman, Mehl, Julian, Ellermann, Andree, Krause, Matthias, Mengis, Natalie, Eberle, Christian, Müller, Peter E., Best, Raymond, Lutz, Patricia M., and Achtnich, Andrea

Published
2023
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31. Measurements of the Absolute Branching Fractions of $B^\pm \to K^\pm X_{c\bar c}$

Author

Lees, J. P., Poireau, V., Tisserand, V., Grauges, E., Palano, A., Eigen, G., Brown, D. N., Kolomensky, Yu. G., Fritsch, M., Koch, H., Schroeder, T., Cheaib, R., Hearty, C., Mattison, T. S., McKenna, J. A., So, R. Y., Blinov, V. E., Buzykaev, A. R., Druzhinin, V. P., Golubev, V. B., Kozyrev, E. A., Kravchenko, E. A., Onuchin, A. P., Serednyakov, S. I., Skovpen, Yu. I., Solodov, E. P., Todyshev, K. Yu., Lankfordm, A. J., Dey, B., Gary, J. W., Long, O., Eisner, A. M., Lockman, W. S., Vazquez, W. Panduro, Chao, D. S., Cheng, C. H., Echenard, B., Flood, K. T., Hitlin, D. G., Kim, J., Li, Y., Miyashita, T. S., Ongmongkolkul, P., Porter, F. C., Rohrken, M., Huard, Z., Meadows, B. T., Pushpawela, B. G., Sokoloff, M. D., Sun, L., Smith, J. G., Wagner, S. R., Bernard, D., Verderi, M., Bettoni, D., Bozzi, C., Calabrese, R., Cibinetto, G., Fioravanti, E., Garzia, I., Luppi, E., Santoro, V., Calcaterra, A., de Sangro, R., Finocchiaro, G., Martellotti, S., Patteri, P., Peruzzi, I. M., Piccolo, M., Rotondo, M., Zallo, A., Passaggio, S., Patrignani, C., Lacker, H. M., Bhuyan, B., Mallik, U., Chen, C., Cochran, J., Prell, S., Gritsan, A. V., Arnaud, N., Davier, M., Diberder, F. Le, Lutz, A. M., Wormser, G., Lange, D. J., Wright, D. M., Coleman, J. P., Hutchcroft, D. E., Payne, D. J., Touramanis, C., Bevan, A. J., Di Lodovico, F., Sacco, R., Cowan, G., Banerjee, Sw., Davis, C. L., Denig, A. G., Gradl, W., Griessinger, K., Hafner, A., Schubert, K. R., Barlow, R. J., Lafferty, G. D., Cenci, R., Jawahery, A., Roberts, D. A., Cowan, R., Robertson, S. H., Seddon, R. M., Neri, N., Palombo, F., Cremaldi, L., Godang, R., Summers, D. J., Taras, P., De Nardo, G., Sciacca, C., Raven, G., Jessop, C. P., LoSecco, J. M., Honscheid, K., Kass, R., Gaz, A., Margoni, M., Posocco, M., Simi, G., Simonetto, F., Stroili, R., Akar, S., Ben-Haim, E., Bomben, M., Bonneaud, G. R., Calderini, G., Chauveau, J., Marchiori, G., Ocariz, J., Biasini, M., Manoni, E., Rossi, A., Batignani, G., Bettarini, S., Carpinelli, M., Casarosa, G., Chrzaszcz, M., Forti, F., Giorgi, M. A., Lusiani, A., Oberhof, B., Paoloni, E., Rama, M., Rizzo, G., Walsh, J. J., Zani, L., Smith, A. J. S., Anulli, F., Faccini, R., Ferrarotto, F., Ferroni, F., Pilloni, A., Piredda, G., Bunger, C., Dittrich, S., Grunberg, O., Hess, M., Leddig, T., Voß, C., Waldi, R., Adye, T., Wilson, F. F., Emery, S., Vasseur, G., Aston, D., Cartaro, C., Convery, M. R., Dorfan, J., Dunwoodie, W., Ebert, M., Field, R. C., Fulsom, B. G., Graham, M. T., Hast, C., Innes, W. R., Kim, P., Leith, D. W. G. S., Luitz, S., MacFarlane, D. B., Muller, D. R., Neal, H., Ratcliff, B. N., Roodman, A., Sullivan, M. K., Va'vra, J., Wisniewski, W. J., Purohit, M. V., Wilson, J. R., Randle-Conde, A., Sekula, S. J., Ahmed, H., Bellis, M., Burchat, P. R., Puccio, E. M. T., Alam, M. S., Ernst, J. A., Gorodeisky, R., Guttman, N., Peimer, D. R., Soffer, A., Spanier, S. M., Ritchie, J. L., Schwitters, R. F., Izen, J. M., Lou, X. C., Bianchi, F., De Mori, F., Filippi, A., Gamba, D., Lanceri, L., Vitale, L., Martinez-Vidal, F., Oyanguren, A., Albert, J., Beaulieu, A., Bernlochner, F. U., King, G. J., Kowalewski, R., Nugent, I. M., Roney, J. M., Sobie, R. J., Tasneem, N., Gershon, T. J., Harrison, P. F., Latham, T. E., Prepost, R., and Wu, S. L.

Subjects
High Energy Physics - Experiment
Abstract

A study of the two body decays $B^\pm\rightarrow X_{c\bar c}K^\pm$, where X$_{c\bar c}$ refers to one charmonium state, is reported by BaBar collaboration using a data sample of 424 fb$^{-1}$. The absolute determination of branching fractions for these decays are significantly improved compared to previous BaBaR measurements. Evidence is found for the decay $B^+\rightarrow X(3872)K^+$ at the $3\sigma$ level. The absolute branching fraction ${\cal B}(B^+\rightarrow X(3872)K^+) = (2.1\pm0.6({\rm stat})\pm0.3({\rm syst}))\times 10^{-4}$ is measured for the first time. It follows that ${\cal B}(X(3872)\rightarrow J/\psi\pi^+\pi^-)=(4.1\pm1.3)\%$, supporting the hypothesis of a molecular component for this resonance., Comment: 8 pages 6 figures

Published
2019
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32. Search for $B^- \to \Lambda \bar p \nu \bar\nu$ with the BABAR experiment

Author

The BABAR Collaboration, Lees, J. P., Poireau, V., Tisserand, V., Grauges, E., Palano, A., Eigen, G., Brown, D. N., Kolomensky, Yu. G., Fritsch, M., Koch, H., Schroeder, T., Cheaib, R., Hearty, C., Mattison, T. S., McKenna, J. A., So, R. Y., Blinov, V. E., Buzykaev, A. R., Druzhinin, V. P., Golubev, V. B., Kozyrev, E. A., Kravchenko, E. A., Onuchin, A. P., Serednyakov, S. I., Skovpen, Yu. I., Solodov, E. P., Todyshev, K. Yu., Lankford, A. J., Dey, B., Gary, J. W., Long, O., Eisner, A. M., Lockman, W. S., Vazquez, W. Panduro, Chao, D. S., Cheng, C. H., Echenard, B., Flood, K. T., Hitlin, D. G., Kim, J., Li, Y., Miyashita, T. S., Ongmongkolkul, P., Porter, F. C., Röhrken, M., Huard, Z., Meadows, B. T., Pushpawela, B. G., Sokoloff, M. D., Sun, L., Smith, J. G., Wagner, S. R., Bernard, D., Verderi, M., Bettoni, D., Bozzi, C., Calabrese, R., Cibinetto, G., Fioravanti, E., Garzia, I., Luppi, E., Santoro, V., Calcaterra, A., de Sangro, R., Finocchiaro, G., Martellotti, S., Patteri, P., Peruzzi, I. M., Piccolo, M., Rotondo, M., Zallo, A., Passaggio, S., Patrignani, C., Lacker, H. M., Bhuyan, B., Mallik, U., Chen, C., Cochran, J., Prell, S., Gritsan, A. V., Arnaud, N., Davier, M., Diberder, F. Le, Lutz, A. M., Wormser, G., Lange, D. J., Wright, D. M., Coleman, J. P., Gabathuler, E., Hutchcroft, D. E., Payne, D. J., Touramanis, C., Bevan, A. J., Di Lodovico, F., Sacco, R., Cowan, G., Banerjee, Sw., Davis, C. L., Denig, A. G., Gradl, W., Griessinger, K., Hafner, A., Schubert, K. R., Barlow, R. J., Lafferty, G. D., Cenci, R., Jawahery, A., Roberts, D. A., Cowan, R., Robertson, S. H., Seddon, R. M., Neri, N., Palombo, F., Cremaldi, L., Godang, R., Summers, D. J., Taras, P., De Nardo, G., Sciacca, C., Raven, G., Jessop, C. P., LoSecco, J. M., Honscheid, K., Kass, R., Gaz, A., Margoni, M., Posocco, M., Simi, G., Simonetto, F., Stroili, R., Akar, S., Ben-Haim, E., Bomben, M., Bonneaud, G. R., Calderini, G., Chauveau, J., Marchiori, G., Ocariz, J., Biasini, M., Manoni, E., Rossi, A., Batignani, G., Bettarini, S., Carpinelli, M., Casarosa, G., Chrzaszcz, M., Forti, F., Giorgi, M. A., Lusiani, A., Oberhof, B., Paoloni, E., Rama, M., Rizzo, G., Walsh, J. J., Zani, L., Smith, A. J. S., Anulli, F., Faccini, R., Ferrarotto, F., Ferroni, F., Pilloni, A., Piredda, G., Bünger, C., Dittrich, S., Grünberg, O., Heß, M., Leddig, T., Voß, C., Waldi, R., Adye, T., Wilson, F. F., Emery, S., Vasseur, G., Aston, D., Cartaro, C., Convery, M. R., Dorfan, J., Dunwoodie, W., Ebert, M., Field, R. C., Fulsom, B. G., Graham, M. T., Hast, C., Innes, W. R., Kim, P., Leith, D. W. G. S., Luitz, S., MacFarlane, D. B., Muller, D. R., Neal, H., Ratcliff, B. N., Roodman, A., Sullivan, M. K., Va'vra, J., Wisniewski, W. J., Purohit, M. V., Wilson, J. R., Randle-Conde, A., Sekula, S. J., Ahmed, H., Bellis, M., Burchat, P. R., Puccio, E. M. T., Alam, M. S., Ernst, J. A., Gorodeisky, R., Guttman, N., Peimer, D. R., Soffer, A., Spanier, S. M., Ritchie, J. L., Schwitters, R. F., Izen, J. M., Lou, X. C., Bianchi, F., De Mori, F., Filippi, A., Gamba, D., Lanceri, L., Vitale, L., Martinez-Vidal, F., Oyanguren, A., Albert, J., Beaulieu, A., Bernlochner, F. U., King, G. J., Kowalewski, R., Lueck, T., Nugent, I. M., Roney, J. M., Sobie, R. J., Tasneem, N., Gershon, T. J., Harrison, P. F., Latham, T. E., Prepost, R., and Wu, S. L.

Subjects
High Energy Physics - Experiment
Abstract

We search for the rare flavor-changing neutral current process $B^- \to \Lambda {\overline p} \nu{\overline{\nu}}$ using data from the BABAR experiment. A total of 424 fb$^{-1}$ of $e^+e^-$ collision data collected at the center-of-mass energy of the $\Upsilon$(4S) resonance is used in this study, corresponding to a sample of ${(471 \pm 3) \times 10^{6}}$ $B\overline{B}$ pairs. Signal $B^- \to \Lambda {\overline p} \nu{\overline{\nu}}$ candidates are identified by first fully reconstructing a $B^+$ decay in one of many possible exclusive decays to hadronic final states, then examining detector activity that is not associated with this reconstructed $B^+$ decay for evidence of a signal $B^- \to \Lambda {\overline p} \nu{\overline{\nu}}$ decay. The data yield is found to be consistent with the expected background contribution under a null signal hypothesis, resulting in an upper limit of ${{\cal B} (B^- \to \Lambda {\overline p} \nu{\overline{\nu}}) < 3.0\times 10^{-5}}$ at the $90\%$ confidence level., Comment: 10 pages, 7 figures

Published
2019
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33. A next-generation inverse-geometry spallation-driven ultracold neutron source

Author

Leung, K. K. H., Muhrer, G., Hügle, T., Ito, T. M., Lutz, E. M., Makela, M., Morris, C. L., Pattie, Jr., R. W., Saunders, A., and Young, A. R.

Subjects
Physics - Instrumentation and Detectors, Physics - Applied Physics
Abstract

The physics model of a next-generation spallation-driven high-current ultracold neutron (UCN) source capable of delivering an extracted UCN rate of around an-order-of-magnitude higher than the strongest proposed sources, and around three-orders-of-magnitude higher than existing sources, is presented. This UCN-current-optimized source would dramatically improve cutting-edge UCN measurements that are currently statistically limited. A novel "Inverse Geometry" design is used with 40 L of superfluid $^4$He (He-II), which acts as a converter of cold neutrons (CNs) to UCNs, cooled with state-of-the-art sub-cooled cryogenic technology to $\sim$1.6 K. Our design is optimized for a 100 W maximum heat load constraint on the He-II and its vessel. In our geometry, the spallation target is wrapped symmetrically around the UCN converter to permit raster scanning the proton beam over a relatively large volume of tungsten spallation target to reduce the demand on the cooling requirements, which makes it reasonable to assume that water edge-cooling only is sufficient. Our design is refined in several steps to reach $P_{UCN}=2.1\times10^9\,/$s under our other restriction of 1 MW maximum available proton beam power. We then study effects of the He-II scattering kernel as well as reductions in $P_{UCN}$ due to pressurization to reach $P_{UCN}=1.8\times10^9\,/$s. Finally, we provide a design for the UCN extraction system that takes into account the required He-II heat transport properties and implementation of a He-II containment foil that allows UCN transmission. We estimate a total useful UCN current from our source of $R_{use}=5\times10^8\,/$s from a 18 cm diameter guide 5 m from the source. Under a conservative "no return" approximation, this rate can produce an extracted density of $>1\times10^4\,/$cm$^3$ in $<$1000~L external experimental volumes with a $^{58}$Ni (335 neV) cut-off potential., Comment: Submitted to Journal of Applied Physics

Published
2019
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34. Search for rare or forbidden decays of the $D^{0}$ meson

Author

Lees, J. P., Poireau, V., Tisserand, V., Grauges, E., Palano, A., Eigen, G., Brown, D. N., Kolomensky, Yu. G., Fritsch, M., Koch, H., Schroeder, T., Cheaib, R., Hearty, C., Mattison, T. S., McKenna, J. A., So, R. Y., Blinov, V. E., Buzykaev, A. R., Druzhinin, V. P., Golubev, V. B., Kozyrev, E. A., Kravchenko, E. A., Onuchin, A. P., Serednyakov, S. I., Skovpen, Yu. I., Solodov, E. P., Todyshev, K. Yu., Lankford, A. J., Dey, B., Gary, J. W., Long, O., Eisner, A. M., Lockman, W. S., Vazquez, W. Panduro, Chao, D. S., Cheng, C. H., Echenard, B., Flood, K. T., Hitlin, D. G., Kim, J., Li, Y., Miyashita, T. S., Ongmongkolkul, P., Porter, F. C., Röhrken, M., Huard, Z., Meadows, B. T., Pushpawela, B. G., Sokoloff, M. D., Sun, L., Smith, J. G., Wagner, S. R., Bernard, D., Verderi, M., Bettoni, D., Bozzi, C., Calabrese, R., Cibinetto, G., Fioravanti, E., Garzia, I., Luppi, E., Santoro, V., Calcaterra, A., de Sangro, R., Finocchiaro, G., Martellotti, S., Patteri, P., Peruzzi, I. M., Piccolo, M., Rotondo, M., Zallo, A., Passaggio, S., Patrignani, C., Lacker, H. M., Bhuyan, B., Mallik, U., Chen, C., Cochran, J., Prell, S., Gritsan, A. V., Arnaud, N., Davier, M., Diberder, F. Le, Lutz, A. M., Wormser, G., Lange, D. J., Wright, D. M., Coleman, J. P., Gabathuler, E., Hutchcroft, D. E., Payne, D. J., Touramanis, C., Bevan, A. J., Di Lodovico, F., Sacco, R., Cowan, G., Banerjee, Sw., Davis, C. L., Denig, A. G., Gradl, W., Griessinger, K., Hafner, A., Schubert, K. R., Barlow, R. J., Lafferty, G. D., Cenci, R., Jawahery, A., Roberts, D. A., Cowan, R., Robertson, S. H., Seddon, R. M., Neri, N., Palombo, F., Cremaldi, L., Godang, R., Summers, D. J., Taras, P., De Nardo, G., Sciacca, C., Raven, G., Jessop, C. P., LoSecco, J. M., Honscheid, K., Kass, R., Gaz, A., Margoni, M., Posocco, M., Simi, G., Simonetto, F., Stroili, R., Akar, S., Ben-Haim, E., Bomben, M., Bonneaud, G. R., Calderini, G., Chauveau, J., Marchiori, G., Ocariz, J., Biasini, M., Manoni, E., Rossi, A., Batignani, G., Bettarini, S., Carpinelli, M., Casarosa, G., Chrzaszcz, M., Forti, F., Giorgi, M. A., Lusiani, A., Oberhof, B., Paoloni, E., Rama, M., Rizzo, G., Walsh, J. J., Zani, L., Smith, A. J. S., Anulli, F., Faccini, R., Ferrarotto, F., Ferroni, F., Pilloni, A., Piredda, G., Bünger, C., Dittrich, S., Grünberg, O., Heß, M., Leddig, T., Voß, C., Waldi, R., Adye, T., Wilson, F. F., Emery, S., Vasseur, G., Aston, D., Cartaro, C., Convery, M. R., Dorfan, J., Dunwoodie, W., Ebert, M., Field, R. C., Fulsom, B. G., Graham, M. T., Hast, C., Innes, W. R., Kim, P., Leith, D. W. G. S., Luitz, S., MacFarlane, D. B., Muller, D. R., Neal, H., Ratcliff, B. N., Roodman, A., Sullivan, M. K., Va'vra, J., Wisniewski, W. J., Purohit, M. V., Wilson, J. R., Randle-Conde, A., Sekula, S. J., Ahmed, H., Bellis, M., Burchat, P. R., Puccio, E. M. T., Alam, M. S., Ernst, J. A., Gorodeisky, R., Guttman, N., Peimer, D. R., Soffer, A., Spanier, S. M., Ritchie, J. L., Schwitters, R. F., Izen, J. M., Lou, X. C., Bianchi, F., De Mori, F., Filippi, A., Gamba, D., Lanceri, L., Vitale, L., Martinez-Vidal, F., Oyanguren, A., Albert, J., Beaulieu, A., Bernlochner, F. U., King, G. J., Kowalewski, R., Lueck, T., Nugent, I. M., Roney, J. M., Sobie, R. J., Tasneem, N., Gershon, T. J., Harrison, P. F., Latham, T. E., Prepost, R., and Wu, S. L.

Subjects
High Energy Physics - Experiment
Abstract

We present a search for nine lepton-number-violating and three lepton-flavor-violating neutral charm decays of the type $D^0\rightarrow h^{\prime -} h^{-}\ell^{\prime +} \ell^{+}$ and $D^0\rightarrow h^{\prime -} h^{+}\ell^{\prime\pm} \ell^{\mp}$, where $h$ and $h^{\prime}$ represent a $K$ or $\pi$ meson and $\ell$ and $\ell^{\prime}$ an electron or muon. The analysis is based on $468$ fb$^{-1}$ of $e^+e^-$ annihilation data collected at or close to the $Y(4S)$ resonance with the BaBar detector at the SLAC National Accelerator Laboratory. No significant signal is observed for any of the twelve modes and we establish 90% confidence level upper limits on the branching fractions in the range $(1.0 - 30.6)\times 10^{-7}$. The limits are between one and three orders of magnitude times more stringent than previous measurements., Comment: 8 pages, 2 figures

Published
2019
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37. Expression of SMARCD1 interacts with age in association with asthma control on inhaled corticosteroid therapy

Author

McGeachie, Michael J, Sordillo, Joanne E, Dahlin, Amber, Wang, Alberta L, Lutz, Sharon M, Tantisira, Kelan G, Panganiban, Ronald, Lu, Quan, Sajuthi, Satria, Urbanek, Cydney, Kelly, Rachel, Saef, Benjamin, Eng, Celeste, Oh, Sam S, Kho, Alvin T, Croteau-Chonka, Damien C, Weiss, Scott T, Raby, Benjamin A, Mak, Angel CY, Rodriguez-Santana, Jose R, Burchard, Esteban G, Seibold, Max A, and Wu, Ann Chen

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Clinical Sciences, Asthma, Biotechnology, Genetics, Clinical Research, Human Genome, Lung, Aetiology, 2.1 Biological and endogenous factors, Respiratory, Administration, Inhalation, Adolescent, Adrenal Cortex Hormones, Adult, Age Factors, Child, Chromosomal Proteins, Non-Histone, Cohort Studies, Female, Gene Expression, Hispanic or Latino, Humans, Male, Middle Aged, Treatment Outcome, Young Adult, Cardiorespiratory Medicine and Haematology, Respiratory System, Cardiovascular medicine and haematology, Clinical sciences
Abstract

BackgroundGlobal gene expression levels are known to be highly dependent upon gross demographic features including age, yet identification of age-related genomic indicators has yet to be comprehensively undertaken in a disease and treatment-specific context.MethodsWe used gene expression data from CD4+ lymphocytes in the Asthma BioRepository for Integrative Genomic Exploration (Asthma BRIDGE), an open-access collection of subjects participating in genetic studies of asthma with available gene expression data. Replication population participants were Puerto Rico islanders recruited as part of the ongoing Genes environments & Admixture in Latino Americans (GALA II), who provided nasal brushings for transcript sequencing. The main outcome measure was chronic asthma control as derived by questionnaires. Genomic associations were performed using regression of chronic asthma control score on gene expression with age in years as a covariate, including a multiplicative interaction term for gene expression times age.ResultsThe SMARCD1 gene (SWI/SNF-related matrix-associated actin-dependent regulator of chromatin subfamily D member 1) interacted with age to influence chronic asthma control on inhaled corticosteroids, with a doubling of expression leading to an increase of 1.3 units of chronic asthma control per year (95% CI [0.86, 1.74], p = 6 × 10- 9), suggesting worsening asthma control with increasing age. This result replicated in GALA II (p = 3.8 × 10- 8). Cellular assays confirmed the role of SMARCD1 in glucocorticoid response in airway epithelial cells.ConclusionFocusing on age-dependent factors may help identify novel indicators of asthma medication response. Age appears to modulate the effect of SMARCD1 on asthma control with inhaled corticosteroids.

Published
2020

38. A Risk Prediction Model for Mortality Among Smokers in the COPDGene® Study.

Author

Strand, Matthew, Austin, Erin, Moll, Matthew, Pratte, Katherine A, Regan, Elizabeth A, Hayden, Lystra P, Bhatt, Surya P, Boriek, Aladin M, Casaburi, Richard, Silverman, Edwin K, Fortis, Spyridon, Ruczinski, Ingo, Koegler, Harald, Rossiter, Harry B, Occhipinti, Mariaelena, Hanania, Nicola A, Gebrekristos, Hirut T, Lynch, David A, Kunisaki, Ken M, Young, Kendra A, Sieren, Jessica C, Ragland, Margaret, Hokanson, John E, Lutz, Sharon M, Make, Barry J, Kinney, Gregory L, Cho, Michael H, Pistolesi, Massimo, DeMeo, Dawn L, Sciurba, Frank C, Comellas, Alejandro P, Diaz, Alejandro A, Barjaktarevic, Igor, Bowler, Russell P, Kanner, Richard E, Peters, Stephen P, Ortega, Victor E, Dransfield, Mark T, and Crapo, James D

Subjects
Biomedical and Clinical Sciences, Epidemiology, Public Health, Health Sciences, Clinical Sciences, Prevention, Lung, Chronic Obstructive Pulmonary Disease, Women's Health, Respiratory, Good Health and Well Being, COPD, COPD Genetic Epidemiology study, COPDGene, spirometry, preserved ratio-impaired spiromety, PRISm, risk score, copd, preserved ratio-impaired spirometry
Abstract

BackgroundRisk factor identification is a proven strategy in advancing treatments and preventive therapy for many chronic conditions. Quantifying the impact of those risk factors on health outcomes can consolidate and focus efforts on individuals with specific high-risk profiles. Using multiple risk factors and longitudinal outcomes in 2 independent cohorts, we developed and validated a risk score model to predict mortality in current and former cigarette smokers.MethodsWe obtained extensive data on current and former smokers from the COPD Genetic Epidemiology (COPDGene®) study at enrollment. Based on physician input and model goodness-of-fit measures, a subset of variables was selected to fit final Weibull survival models separately for men and women. Coefficients and predictors were translated into a point system, allowing for easy computation of mortality risk scores and probabilities. We then used the SubPopulations and InteRmediate Outcome Measures In COPD Study (SPIROMICS) cohort for external validation of our model.ResultsOf 9867 COPDGene participants with standard baseline data, 17.6% died over 10 years of follow-up, and 9074 of these participants had the full set of baseline predictors (standard plus 6-minute walk distance and computed tomography variables) available for full model fits. The average age of participants in the cohort was 60 for both men and women, and the average predicted 10-year mortality risk was 18% for women and 25% for men. Model time-integrated area under the receiver operating characteristic curve statistics demonstrated good predictive model accuracy (0.797 average), validated in the external cohort (0.756 average). Risk of mortality was impacted most by 6-minute walk distance, forced expiratory volume in 1 second and age, for both men and women.ConclusionsCurrent and former smokers exhibited a wide range of mortality risk over a 10- year period. Our models can identify higher risk individuals who can be targeted for interventions to reduce risk of mortality, for participants with or without chronic obstructive pulmonary disease (COPD) using current Global initiative for obstructive Lung Disease (GOLD) criteria.

Published
2020

39. Machine Learning Characterization of COPD Subtypes Insights From the COPDGene Study

Author

Castaldi, Peter J, Boueiz, Adel, Yun, Jeong, San Jose Estepar, Raul, Ross, James C, Washko, George, Cho, Michael H, Hersh, Craig P, Kinney, Gregory L, Young, Kendra A, Regan, Elizabeth A, Lynch, David A, Criner, Gerald J, Dy, Jennifer G, Rennard, Stephen I, Casaburi, Richard, Make, Barry J, Crapo, James, Silverman, Edwin K, Hokanson, John E, Crapo, James D, Beaty, Terri, Begum, Ferdouse, Cho, Michael, DeMeo, Dawn L, Boueiz, Adel R, Foreman, Marilyn G, Halper-Stromberg, Eitan, Hayden, Lystra P, Hetmanski, Jacqueline, Hobbs, Brian D, Laird, Nan, Lange, Christoph, Lutz, Sharon M, McDonald, Merry-Lynn, Parker, Margaret M, Prokopenko, Dmitry, Qiao, Dandi, Regan, Elizabeth, Sakornsakolpat, Phuwanat, Wan, Emily S, Won, Sungho, Centeno, Juan Pablo, Charbonnier, Jean-Paul, Coxson, Harvey O, Galban, Craig J, Han, MeiLan K, Hoffman, Eric A, Humphries, Stephen, Jacobson, Francine L, Judy, Philip F, Kazerooni, Ella A, Kluiber, Alex, Nardelli, Pietro, Newell, John D, Notary, Aleena, Oh, Andrea, Schroeder, Joyce, Sieren, Jered, Stoel, Berend C, Tschirren, Juerg, Van Beek, Edwin, van Ginneken, Bram, van Rikxoort, Eva, Sanchez-Ferrero, Gonzalo Vegas, Veitel, Lucas, Washko, George R, Wilson, Carla G, Jensen, Robert, Everett, Douglas, Crooks, Jim, Pratte, Katherine, Strand, Matt, Kinney, Gregory, Bhatt, Surya P, Bon, Jessica, Diaz, Alejandro A, Make, Barry, Murray, Susan, Soler, Xavier, Bowler, Russell P, and Kechris, Katerina

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Clinical Sciences, Genetics, Chronic Obstructive Pulmonary Disease, Lung, 2.1 Biological and endogenous factors, Aetiology, Respiratory, Cluster Analysis, Diagnostic Imaging, Disease Progression, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Machine Learning, Molecular Epidemiology, Phenotype, Pulmonary Disease, Chronic Obstructive, Respiratory Function Tests, COPD, emphysema, machine learning, COPDGene Investigators, Respiratory System, Cardiovascular medicine and haematology, Clinical sciences
Abstract

COPD is a heterogeneous syndrome. Many COPD subtypes have been proposed, but there is not yet consensus on how many COPD subtypes there are and how they should be defined. The COPD Genetic Epidemiology Study (COPDGene), which has generated 10-year longitudinal chest imaging, spirometry, and molecular data, is a rich resource for relating COPD phenotypes to underlying genetic and molecular mechanisms. In this article, we place COPDGene clustering studies in context with other highly cited COPD clustering studies, and summarize the main COPD subtype findings from COPDGene. First, most manifestations of COPD occur along a continuum, which explains why continuous aspects of COPD or disease axes may be more accurate and reproducible than subtypes identified through clustering methods. Second, continuous COPD-related measures can be used to create subgroups through the use of predictive models to define cut-points, and we review COPDGene research on blood eosinophil count thresholds as a specific example. Third, COPD phenotypes identified or prioritized through machine learning methods have led to novel biological discoveries, including novel emphysema genetic risk variants and systemic inflammatory subtypes of COPD. Fourth, trajectory-based COPD subtyping captures differences in the longitudinal evolution of COPD, addressing a major limitation of clustering analyses that are confounded by disease severity. Ongoing longitudinal characterization of subjects in COPDGene will provide useful insights about the relationship between lung imaging parameters, molecular markers, and COPD progression that will enable the identification of subtypes based on underlying disease processes and distinct patterns of disease progression, with the potential to improve the clinical relevance and reproducibility of COPD subtypes.

Published
2020

41. Use and Accuracy of Intraoperative Frozen Section Analysis for Ovarian Masses in Children and Adolescents

Author

Gil, Lindsay A., Lutz, Carley M., Dillon, Patrick A., Downard, Cynthia D., Ehrlich, Peter F., Fallat, Mary E., Fraser, Jason D., Grabowski, Julia E., Helmrath, Michael A., Hertweck, S. Paige, Hirschl, Ronald B., Kabre, Rashmi, Lal, Dave R., Landman, Matthew P., Lawrence, Amy E., Leys, Charles M., Mak, Grace Z., Markel, Troy A., Raiji, Manish T., Rymeski, Beth, Saito, Jacqueline M., Sato, Thomas T., St. Peter, Shawn D., Stafford, Linda M. Cherney, Deans, Katherine J., Minneci, Peter C., Hewitt, Geri D., and Aldrink, Jennifer H.

Published
2023
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42. Prevalence of abnormal spirometry in individuals with a smoking history and no known obstructive lung disease

Author

Crapo, James D., Silverman, Edwin K., Make, Barry J., Regan, Elizabeth A., Beaty, Terri H., Castaldi, Peter J., Cho, Michael H., DeMeo, Dawn L., El Boueiz, Adel, Foreman, Marilyn G., Ghosh, Auyon, Hayden, Lystra P., Hersh, Craig P., Hetmanski, Jacqueline, Hobbs, Brian D., Hokanson, John E., Kim, Wonji, Laird, Nan, Lange, Christoph, Lutz, Sharon M., McDonald, Merry-Lynn, Prokopenko, Dmitry, Moll, Matthew, Morrow, Jarrett, Qiao, Dandi, Saferali, Aabida, Sakornsakolpat, Phuwanat, Wan, Emily S., Yun, Jeong, Centeno, Juan Pablo, Charbonnier, Jean-Paul, Coxson, Harvey O., Galban, Craig J., Han, MeiLan K., Hoffman, Eric A., Humphries, Stephen, Jacobson, Francine L., Judy, Philip F., Kazerooni, Ella A., Kluiber, Alex, Lynch, David A., Nardelli, Pietro, Newell, John D., Jr., Notary, Aleena, Oh, Andrea, Ross, James C., San Jose Estepar, Raul, Schroeder, Joyce, Sieren, Jered, Stoel, Berend C., Tschirren, Juerg, Van Beek, Edwin, van Ginneken, Bram, van Rikxoort, Eva, Sanchez Ferrero, Gonzalo Vegas, Veitel, Lucas, Washko, George R., Wilson, Carla G., Jensen, Robert, Everett, Douglas, Crooks, Jim, Pratte, Katherine, Strand, Matt, Austin, Erin, Kinney, Gregory, Young, Kendra A., Bhatt, Surya P., Bon, Jessica, Diaz, Alejandro A., Make, Barry, Murray, Susan, Regan, Elizabeth, Soler, Xavier, Bowler, Russell P., Kechris, Katerina, BanaeiKashani, Farnoush, Curtis, Jeffrey L., Pernicano, Perry G., Hanania, Nicola, Atik, Mustafa, Boriek, Aladin, Guntupalli, Kalpatha, Guy, Elizabeth, Parulekar, Amit, Hersh, Craig, Washko, George, Barr, R. Graham, Austin, John, D'Souza, Belinda, Thomashow, Byron, MacIntyre, Neil, Jr., McAdams, H. Page, Washington, Lacey, McEvoy, Charlene, Tashjian, Joseph, Wise, Robert, Brown, Robert, Hansel, Nadia N., Horton, Karen, Lambert, Allison, Putcha, Nirupama, Casaburi, Richard, Adami, Alessandra, Budoff, Matthew, Fischer, Hans, Porszasz, Janos, Rossiter, Harry, Stringer, William, Sharafkhaneh, Amir, Lan, Charlie, Wendt, Christine, Bell, Brian, Kunisaki, Ken M., Flenaugh, Eric L., Gebrekristos, Hirut, Ponce, Mario, Terpenning, Silanath, Westney, Gloria, Bowler, Russell, Rosiello, Richard, Pace, David, Criner, Gerard, Ciccolella, David, Cordova, Francis, Dass, Chandra, D'Alonzo, Gilbert, Desai, Parag, Jacobs, Michael, Kelsen, Steven, Kim, Victor, Mamary, A. James, Marchetti, Nathaniel, Satti, Aditi, Shenoy, Kartik, Steiner, Robert M., Swift, Alex, Swift, Irene, Vega-Sanchez, Maria Elena, Dransfield, Mark, Bailey, William, Iyer, Anand, Nath, Hrudaya, Wells, J. Michael, Conrad, Douglas, Yen, Andrew, Comellas, Alejandro P., Hoth, Karin F., Newell, John, Jr., Thompson, Brad, Kazerooni, Ella, Labaki, Wassim, Galban, Craig, Vummidi, Dharshan, Billings, Joanne, Begnaud, Abbie, Allen, Tadashi, Sciurba, Frank, Chandra, Divay, Weissfeld, Joel, Anzueto, Antonio, Adams, Sandra, Maselli-Caceres, Diego, Ruiz, Mario E., Singh, Harjinder, Tran, Thuonghien V., Kinney, Gregory L., Comellas, Alejandro, Baldomero, Arianne K., Hokanson, John, and Fortis, Spyridon

Published
2023
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45. Efficient in vivo neuronal genome editing in the mouse brain using nanocapsules containing CRISPR-Cas9 ribonucleoproteins

Author

Metzger, Jeanette M., Wang, Yuyuan, Neuman, Samuel S., Snow, Kathy J., Murray, Stephen A., Lutz, Cathleen M., Bondarenko, Viktoriya, Felton, Jesi, Gimse, Kirstan, Xie, Ruosen, Li, Dongdong, Zhao, Yi, Flowers, Matthew T., Simmons, Heather A., Roy, Subhojit, Saha, Krishanu, Levine, Jon E., Emborg, Marina E., and Gong, Shaoqin

Published
2023
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46. Clinical Markers Associated With Risk of Suicide or Drug Overdose Among Individuals With Smoking Exposure: A Longitudinal Follow-up Study of the COPDGene Cohort

Author

Crapo, James D., Silverman, Edwin K., Make, Barry J., Regan, Elizabeth A., Beaty, Terri H., Castaldi, Peter J., Cho, Michael H., DeMeo, Dawn L., El Boueiz, Adel, Foreman, Marilyn G., Ghosh, Auyon, Hayden, Lystra P., Hersh, Craig P., Hetmanski, Jacqueline, Hobbs, Brian D., Hokanson, John E., Kim, Wonji, Laird, Nan, Lange, Christoph, Lutz, Sharon M., McDonald, Merry-Lynn, Prokopenko, Dmitry, Moll, Matthew, Morrow, Jarrett, Qiao, Dandi, Saferali, Aabida, Sakornsakolpat, Phuwanat, Wan, Emily S., Yun, Jeong, Centeno, Juan Pablo, Charbonnier, Jean-Paul, Coxson, Harvey O., Galban, Craig J., Han, MeiLan K., Hoffman, Eric A., Humphries, Stephen, Jacobson, Francine L., Judy, Philip F., Kazerooni, Ella A., Kluiber, Alex, Lynch, David A., Nardelli, Pietro, Newell, John D., Jr., Notary, Aleena, Oh, Andrea, Ross, James C., San Jose Estepar, Raul, Schroeder, Joyce, Sieren, Jered, Stoel, Berend C., Tschirren, Juerg, Van Beek, Edwin, van Ginneken, Bram, van Rikxoort, Eva, Sanchez-Ferrero, Gonzalo Vegas, Veitel, Lucas, Washko, George R., Wilson, Carla G., Jensen, Robert, Strand, Matthew, Crooks, Jim, Pratte, Katherine, Khatiwada, Aastha, Austin, Erin, Kinney, Gregory, Young, Kendra A., Bhatt, Surya P., Bon, Jessica, Diaz, Alejandro A., Make, Barry, Murray, Susan, Regan, Elizabeth, Soler, Xavier, Bowler, Russell P., Kechris, Katerina, Banaei-Kashani, Farnoush, Curtis, Jeffrey L., Pernicano, Perry G., Hanania, Nicola, Atik, Mustafa, Boriek, Aladin, Guntupalli, Kalpatha, Guy, Elizabeth, Parulekar, Amit, Hersh, Craig, Washko, George, Barr, R. Graham, Austin, John, D’Souza, Belinda, Thomashow, Byron, MacIntyre, Neil, Jr., McAdams, H. Page, Washington, Lacey, McEvoy, Charlene, Tashjian, Joseph, Wise, Robert, Brown, Robert, Hansel, Nadia N., Horton, Karen, Lambert, Allison, Putcha, Nirupama, Casaburi, Richard, Adami, Alessandra, Budoff, Matthew, Fischer, Hans, Porszasz, Janos, Rossiter, Harry, Stringer, William, Sharafkhaneh, Amir, Lan, Charlie, Wendt, Christine, Bell, Brian, Kunisaki, Ken M., Flenaugh, Eric L., Gebrekristos, Hirut, Ponce, Mario, Terpenning, Silanath, Westney, Gloria, Bowler, Russell, Rosiello, Richard, Pace, David, Criner, Gerard, Ciccolella, David, Cordova, Francis, Dass, Chandra, D’Alonzo, Gilbert, Desai, Parag, Jacobs, Michael, Kelsen, Steven, Kim, Victor, Mamary, A. James, Marchetti, Nathaniel, Satti, Aditi, Shenoy, Kartik, Steiner, Robert M., Swift, Alex, Swift, Irene, Vega-Sanchez, Maria Elena, Dransfield, Mark, Bailey, William, Iyer, Anand, Nath, Hrudaya, Wells, J. Michael, Conrad, Douglas, Yen, Andrew, Comellas, Alejandro P., Hoth, Karin F., Newell, John, Jr., Thompson, Brad, Kazerooni, Ella, Labaki, Wassim, Galban, Craig, Vummidi, Dharshan, Billings, Joanne, Begnaud, Abbie, Allen, Tadashi, Sciurba, Frank, Chandra, Divay, Weissfeld, Joel, Anzueto, Antonio, Adams, Sandra, Maselli-Caceres, Diego, Ruiz, Mario E., Singh, Harjinder, Adviento, Brigid A., Iyer, Anand S., Kinney, Gregory L., Hanania, Nicola A., Lowe, Katherine E., Holm, Kristen E., Yohannes, Abebaw M., Shinozaki, Gen, and Fiedorowicz, Jess G.

Published
2023
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48. Genetic diversity fuels gene discovery for tobacco and alcohol use

Author

Saunders, Gretchen R. B., Wang, Xingyan, Chen, Fang, Jang, Seon-Kyeong, Liu, Mengzhen, Wang, Chen, Gao, Shuang, Jiang, Yu, Khunsriraksakul, Chachrit, Otto, Jacqueline M., Addison, Clifton, Akiyama, Masato, Albert, Christine M., Aliev, Fazil, Alonso, Alvaro, Arnett, Donna K., Ashley-Koch, Allison E., Ashrani, Aneel A., Barnes, Kathleen C., Barr, R. Graham, Bartz, Traci M., Becker, Diane M., Bielak, Lawrence F., Benjamin, Emelia J., Bis, Joshua C., Bjornsdottir, Gyda, Blangero, John, Bleecker, Eugene R., Boardman, Jason D., Boerwinkle, Eric, Boomsma, Dorret I., Boorgula, Meher Preethi, Bowden, Donald W., Brody, Jennifer A., Cade, Brian E., Chasman, Daniel I., Chavan, Sameer, Chen, Yii-Der Ida, Chen, Zhengming, Cheng, Iona, Cho, Michael H., Choquet, Hélène, Cole, John W., Cornelis, Marilyn C., Cucca, Francesco, Curran, Joanne E., de Andrade, Mariza, Dick, Danielle M., Docherty, Anna R., Duggirala, Ravindranath, Eaton, Charles B., Ehringer, Marissa A., Esko, Tõnu, Faul, Jessica D., Silva, Lilian Fernandes, Fiorillo, Edoardo, Fornage, Myriam, Freedman, Barry I., Gabrielsen, Maiken E., Garrett, Melanie E., Gharib, Sina A., Gieger, Christian, Gillespie, Nathan, Glahn, David C., Gordon, Scott D., Gu, Charles C., Gu, Dongfeng, Gudbjartsson, Daniel F., Guo, Xiuqing, Haessler, Jeffrey, Hall, Michael E., Haller, Toomas, Harris, Kathleen Mullan, He, Jiang, Herd, Pamela, Hewitt, John K., Hickie, Ian, Hidalgo, Bertha, Hokanson, John E., Hopfer, Christian, Hottenga, JoukeJan, Hou, Lifang, Huang, Hongyan, Hung, Yi-Jen, Hunter, David J., Hveem, Kristian, Hwang, Shih-Jen, Hwu, Chii-Min, Iacono, William, Irvin, Marguerite R., Jee, Yon Ho, Johnson, Eric O., Joo, Yoonjung Y., Jorgenson, Eric, Justice, Anne E., Kamatani, Yoichiro, Kaplan, Robert C., Kaprio, Jaakko, Kardia, Sharon L. R., Keller, Matthew C., Kelly, Tanika N., Kooperberg, Charles, Korhonen, Tellervo, Kraft, Peter, Krauter, Kenneth, Kuusisto, Johanna, Laakso, Markku, Lasky-Su, Jessica, Lee, Wen-Jane, Lee, James J., Levy, Daniel, Li, Liming, Li, Kevin, Li, Yuqing, Lin, Kuang, Lind, Penelope A., Liu, Chunyu, Lloyd-Jones, Donald M., Lutz, Sharon M., Ma, Jiantao, Mägi, Reedik, Manichaikul, Ani, Martin, Nicholas G., Mathur, Ravi, Matoba, Nana, McArdle, Patrick F., McGue, Matt, McQueen, Matthew B., Medland, Sarah E., Metspalu, Andres, Meyers, Deborah A., Millwood, Iona Y., Mitchell, Braxton D., Mohlke, Karen L., Moll, Matthew, Montasser, May E., Morrison, Alanna C., Mulas, Antonella, Nielsen, Jonas B., North, Kari E., Oelsner, Elizabeth C., Okada, Yukinori, Orrù, Valeria, Palmer, Nicholette D., Palviainen, Teemu, Pandit, Anita, Park, S. Lani, Peters, Ulrike, Peters, Annette, Peyser, Patricia A., Polderman, Tinca J. C., Rafaels, Nicholas, Redline, Susan, Reed, Robert M., Reiner, Alex P., Rice, John P., Rich, Stephen S., Richmond, Nicole E., Roan, Carol, Rotter, Jerome I., Rueschman, Michael N., Runarsdottir, Valgerdur, Saccone, Nancy L., Schwartz, David A., Shadyab, Aladdin H., Shi, Jingchunzi, Shringarpure, Suyash S., Sicinski, Kamil, Skogholt, Anne Heidi, Smith, Jennifer A., Smith, Nicholas L., Sotoodehnia, Nona, Stallings, Michael C., Stefansson, Hreinn, Stefansson, Kari, Stitzel, Jerry A., Sun, Xiao, Syed, Moin, Tal-Singer, Ruth, Taylor, Amy E., Taylor, Kent D., Telen, Marilyn J., Thai, Khanh K., Tiwari, Hemant, Turman, Constance, Tyrfingsson, Thorarinn, Wall, Tamara L., Walters, Robin G., Weir, David R., Weiss, Scott T., White, Wendy B., Whitfield, John B., Wiggins, Kerri L., Willemsen, Gonneke, Willer, Cristen J., Winsvold, Bendik S., Xu, Huichun, Yanek, Lisa R., Yin, Jie, Young, Kristin L., Young, Kendra A., Yu, Bing, Zhao, Wei, Zhou, Wei, Zöllner, Sebastian, Zuccolo, Luisa, Batini, Chiara, Bergen, Andrew W., Bierut, Laura J., David, Sean P., Gagliano Taliun, Sarah A., Hancock, Dana B., Jiang, Bibo, Munafò, Marcus R., Thorgeirsson, Thorgeir E., Liu, Dajiang J., and Vrieze, Scott

Published
2022
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