15 results on '"Chutkow W"'
Search Results
2. Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure
- Author
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Shah, S. (Sonia), Henry, A. (Albert), Roselli, C. (Carolina), Lin, H. (Honghuang), Sveinbjörnsson, G. (Garðar), Fatemifar, G. (Ghazaleh), Hedman, A.K. (Asa), Wilk, J.B. (Jemma), Morley, M.P. (Michael P.), Chaffin, M.D. (Mark D.), Helgadottir, H.T. (Hafdis), Verweij, N. (Niek), Dehghan, A. (Abbas), Almgren, P. (Peter), Andersson, C. (Charlotte), Aragam, K.G. (Krishna G.), Ärnlöv, J. (Johan), Backman, J.D. (Joshua D.), Biggs, M.L. (Mary L.), Bloom, H.L. (Heather L.), Brandimarto, J. (Jeffrey), Brown, M.R. (Michael R.), Buckbinder, L. (Leonard), Carey, D.J. (David J.), Chasman, D.I. (Daniel I.), Chen, X. (Xing), Chen, X. (Xu), Chung, J. (Jonathan), Chutkow, W. (William), Cook, J.P. (James P.), Delgado, G., Denaxas, S. (Spiros), Doney, A.S.F. (Alex), Dörr, M. (Marcus), Dudley, S.C. (Samuel C.), Dunn, M.E. (Michael E.), Engström, G., Esko, T. (Tõnu), Felix, S.B. (Stephan B.), Finan, C. (Chris), Ford, I. (Ian), Ghanbari, M. (Mohsen), Ghasemi, S. (Sahar), Giedraitis, V. (Vilmantas), Giulianini, F. (Franco), Gottdiener, J.S. (John), Gross, S. (Stefan), Guðbjartsson, D.F. (Daníel F.), Gutmann, R. (Rebecca), Haggerty, C.M. (Christopher M.), Harst, P. (Pim) van der, Hyde, C.L. (Craig L.), Ingelsson, E. (Erik), Jukema, J.W. (Jan Wouter), Kavousi, M. (Maryam), Khaw, K.-T. (Kay-Tee), Kleber, M.E. (Marcus), Køber, L. (Lars), Koekemoer, A. (Andrea), Langenberg, C. (Claudia), Kao, W.H.L. (Wen), Lindgren, C.M. (Cecilia M.), London, B. (Barry), Lotta, L.A. (Luca A.), Lovering, R.C. (Ruth C.), Luan, J., Magnusson, P.K. (Patrik), Mahajan, A. (Anubha), Margulies, K.B. (Kenneth B.), Ye, S. (Shu), Melander, O. (Olle), Mordi, I.R. (Ify R.), Morgan, T. (Thomas), Morris, A.D. (Andrew D.), Morris, A.P. (Andrew), Morrison, A.C. (Alanna C.), Nagle, M.W. (Michael W.), Nelson, C.P. (Christopher P.), Niessner, A. (Alexander), Niiranen, T. (Teemu), O’Donoghue, M.L. (Michelle L.), Owens, A.T. (Anjali T.), Palmer, C.N.A. (Colin N. A.), Parry, H.M. (Helen M.), Perola, M. (Markus), Portilla-Fernandez, E. (Eliana), Psaty, B.M. (Bruce M.), Abecasis, G. (Goncalo), Backman, J. (Joshua), Bai, X. (Xiaodong), Balasubramanian, S. (Suganthi), Banerjee, N. (Nilanjana), Baras, A. (Aris), Barnard, L. (Leland), Beechert, C. (Christina), Blumenfeld, A. (Andrew), Cantor, M. (Michael), Chai, Y. (Yating), Coppola, G. (Giovanni), Damask, A. (Amy), Dewey, F. (Frederick), Economides, A. (Aris), Eom, G. (Gisu), Forsythe, C. (Caitlin), Fuller, E.D. (Erin D.), Gu, Z. (Zhenhua), Gurski, L. (Lauren), Guzzardo, P.M. (Paloma M.), Habegger, L. (Lukas), Hahn, Y. (Young), Hawes, A. (Alicia), van Hout, C. (Cristopher), Jones, M.B. (Marcus B.), Khalid, S. (Shareef), Lattari, M. (Michael), Li, A. (Alexander), Lin, N. (Nan), Liu, D. (Daren), Lopez, A. (Alexander), Manoochehri, K. (Kia), Marchini, J. (Jonathan), Marcketta, A. (Anthony), Maxwell, E.K. (Evan K.), McCarthy, S. (Shane), Mitnaul, L.J. (Lyndon), O’Dushlaine, C. (Colm), Overton, J.D. (John D.), Padilla, M.S. (Maria Sotiropoulos), Paulding, C. (Charles), Penn, J. (John), Pradhan, M. (Manasi), Reid, J.G. (Jeffrey G.), Schleicher, T.D. (Thomas D.), Schurmann, C. (Claudia), Shuldiner, A. (Alan), Staples, J.C. (Jeffrey C.), Sun, D. (Dylan), Toledo, K. (Karina), Ulloa, R.H. (Ricardo H.), Widom, L. (Louis), Wolf, S.E. (Sarah E.), Yadav, A. (Ashish), Ye, B. (Bin), Rice, K.M. (Kenneth), Ridker, P.M. (Paul M.), Romaine, S.P.R. (Simon P. R.), Rotter, J.I. (Jerome I.), Salo, P. (Perttu), Salomaa, V. (Veikko), Setten, J. (Jessica) van, Shalaby, A.A. (Alaa A.), Smelser, D.T. (Diane T.), Smith, N.L. (Nicholas L.), Stender, S. (Steen), Stott, D.J. (David. J.), Svensson, P. (Per), Tammesoo, M.L., Taylor, K.D. (Kent D.), Teder-Laving, M. (Maris), Teumer, A. (Alexander), Thorgeirsson, G. (Guðmundur), Thorsteinsdottir, U. (Unnur), Torp-Pedersen, C. (Christian Tobias), Trompet, S. (Stella), Tyl, B. (Benoit), Uitterlinden, A.G. (Andre G.), Veluchamy, A. (Abirami), Völker, U. (Uwe), Voors, A.A. (Adriaan A.), Wang, X. (Xiaosong), Wareham, N.J. (Nick), Waterworth, D. (Dawn), Weeke, P.E. (Peter E.), Weiss, R. (Ram), Wiggins, K.L. (Kerri L.), Xing, H. (Heming), Yerges-Armstrong, L.M. (Laura), Yu, B. (Bing), Zannad, F. (Faiez), Zhao, J.H. (Jing Hua), Hemingway, H., Samani, N.J. (Nilesh J.), McMurray, J.J.V. (John J. V.), Yang, J. (Jian), Visscher, P.M. (Peter M.), Newton-Cheh, C. (Christopher), Mälarstig, A. (Anders), Holm, H. (Hilma), Lubitz, S.A. (Steven), Sattar, N. (Naveed), Holmes, M.V. (Michael), Cappola, T.P. (Thomas P.), Asselbergs, F.W. (Folkert), Hingorani, A. (Aroon), Kuchenbaecker, K.B. (Karoline), Ellinor, P.T. (Patrick), Lang, C.C. (Chim C.), Stefansson, K. (Kari), Smith, J.G. (J Gustav), Vasan, R.S. (Ramachandran Srini), Swerdlow, D.I. (Daniel), Lumbers, R.T. (R. Thomas), Shah, S. (Sonia), Henry, A. (Albert), Roselli, C. (Carolina), Lin, H. (Honghuang), Sveinbjörnsson, G. (Garðar), Fatemifar, G. (Ghazaleh), Hedman, A.K. (Asa), Wilk, J.B. (Jemma), Morley, M.P. (Michael P.), Chaffin, M.D. (Mark D.), Helgadottir, H.T. (Hafdis), Verweij, N. (Niek), Dehghan, A. (Abbas), Almgren, P. (Peter), Andersson, C. (Charlotte), Aragam, K.G. (Krishna G.), Ärnlöv, J. (Johan), Backman, J.D. (Joshua D.), Biggs, M.L. (Mary L.), Bloom, H.L. (Heather L.), Brandimarto, J. (Jeffrey), Brown, M.R. (Michael R.), Buckbinder, L. (Leonard), Carey, D.J. (David J.), Chasman, D.I. (Daniel I.), Chen, X. (Xing), Chen, X. (Xu), Chung, J. (Jonathan), Chutkow, W. (William), Cook, J.P. (James P.), Delgado, G., Denaxas, S. (Spiros), Doney, A.S.F. (Alex), Dörr, M. (Marcus), Dudley, S.C. (Samuel C.), Dunn, M.E. (Michael E.), Engström, G., Esko, T. (Tõnu), Felix, S.B. (Stephan B.), Finan, C. (Chris), Ford, I. (Ian), Ghanbari, M. (Mohsen), Ghasemi, S. (Sahar), Giedraitis, V. (Vilmantas), Giulianini, F. (Franco), Gottdiener, J.S. (John), Gross, S. (Stefan), Guðbjartsson, D.F. (Daníel F.), Gutmann, R. (Rebecca), Haggerty, C.M. (Christopher M.), Harst, P. (Pim) van der, Hyde, C.L. (Craig L.), Ingelsson, E. (Erik), Jukema, J.W. (Jan Wouter), Kavousi, M. (Maryam), Khaw, K.-T. (Kay-Tee), Kleber, M.E. (Marcus), Køber, L. (Lars), Koekemoer, A. (Andrea), Langenberg, C. (Claudia), Kao, W.H.L. (Wen), Lindgren, C.M. (Cecilia M.), London, B. (Barry), Lotta, L.A. (Luca A.), Lovering, R.C. (Ruth C.), Luan, J., Magnusson, P.K. (Patrik), Mahajan, A. (Anubha), Margulies, K.B. (Kenneth B.), Ye, S. (Shu), Melander, O. (Olle), Mordi, I.R. (Ify R.), Morgan, T. (Thomas), Morris, A.D. (Andrew D.), Morris, A.P. (Andrew), Morrison, A.C. (Alanna C.), Nagle, M.W. (Michael W.), Nelson, C.P. (Christopher P.), Niessner, A. (Alexander), Niiranen, T. (Teemu), O’Donoghue, M.L. (Michelle L.), Owens, A.T. (Anjali T.), Palmer, C.N.A. (Colin N. A.), Parry, H.M. (Helen M.), Perola, M. (Markus), Portilla-Fernandez, E. (Eliana), Psaty, B.M. (Bruce M.), Abecasis, G. (Goncalo), Backman, J. (Joshua), Bai, X. (Xiaodong), Balasubramanian, S. (Suganthi), Banerjee, N. (Nilanjana), Baras, A. (Aris), Barnard, L. (Leland), Beechert, C. (Christina), Blumenfeld, A. (Andrew), Cantor, M. (Michael), Chai, Y. (Yating), Coppola, G. (Giovanni), Damask, A. (Amy), Dewey, F. (Frederick), Economides, A. (Aris), Eom, G. (Gisu), Forsythe, C. (Caitlin), Fuller, E.D. (Erin D.), Gu, Z. (Zhenhua), Gurski, L. (Lauren), Guzzardo, P.M. (Paloma M.), Habegger, L. (Lukas), Hahn, Y. (Young), Hawes, A. (Alicia), van Hout, C. (Cristopher), Jones, M.B. (Marcus B.), Khalid, S. (Shareef), Lattari, M. (Michael), Li, A. (Alexander), Lin, N. (Nan), Liu, D. (Daren), Lopez, A. (Alexander), Manoochehri, K. (Kia), Marchini, J. (Jonathan), Marcketta, A. (Anthony), Maxwell, E.K. (Evan K.), McCarthy, S. (Shane), Mitnaul, L.J. (Lyndon), O’Dushlaine, C. (Colm), Overton, J.D. (John D.), Padilla, M.S. (Maria Sotiropoulos), Paulding, C. (Charles), Penn, J. (John), Pradhan, M. (Manasi), Reid, J.G. (Jeffrey G.), Schleicher, T.D. (Thomas D.), Schurmann, C. (Claudia), Shuldiner, A. (Alan), Staples, J.C. (Jeffrey C.), Sun, D. (Dylan), Toledo, K. (Karina), Ulloa, R.H. (Ricardo H.), Widom, L. (Louis), Wolf, S.E. (Sarah E.), Yadav, A. (Ashish), Ye, B. (Bin), Rice, K.M. (Kenneth), Ridker, P.M. (Paul M.), Romaine, S.P.R. (Simon P. R.), Rotter, J.I. (Jerome I.), Salo, P. (Perttu), Salomaa, V. (Veikko), Setten, J. (Jessica) van, Shalaby, A.A. (Alaa A.), Smelser, D.T. (Diane T.), Smith, N.L. (Nicholas L.), Stender, S. (Steen), Stott, D.J. (David. J.), Svensson, P. (Per), Tammesoo, M.L., Taylor, K.D. (Kent D.), Teder-Laving, M. (Maris), Teumer, A. (Alexander), Thorgeirsson, G. (Guðmundur), Thorsteinsdottir, U. (Unnur), Torp-Pedersen, C. (Christian Tobias), Trompet, S. (Stella), Tyl, B. (Benoit), Uitterlinden, A.G. (Andre G.), Veluchamy, A. (Abirami), Völker, U. (Uwe), Voors, A.A. (Adriaan A.), Wang, X. (Xiaosong), Wareham, N.J. (Nick), Waterworth, D. (Dawn), Weeke, P.E. (Peter E.), Weiss, R. (Ram), Wiggins, K.L. (Kerri L.), Xing, H. (Heming), Yerges-Armstrong, L.M. (Laura), Yu, B. (Bing), Zannad, F. (Faiez), Zhao, J.H. (Jing Hua), Hemingway, H., Samani, N.J. (Nilesh J.), McMurray, J.J.V. (John J. V.), Yang, J. (Jian), Visscher, P.M. (Peter M.), Newton-Cheh, C. (Christopher), Mälarstig, A. (Anders), Holm, H. (Hilma), Lubitz, S.A. (Steven), Sattar, N. (Naveed), Holmes, M.V. (Michael), Cappola, T.P. (Thomas P.), Asselbergs, F.W. (Folkert), Hingorani, A. (Aroon), Kuchenbaecker, K.B. (Karoline), Ellinor, P.T. (Patrick), Lang, C.C. (Chim C.), Stefansson, K. (Kari), Smith, J.G. (J Gustav), Vasan, R.S. (Ramachandran Srini), Swerdlow, D.I. (Daniel), and Lumbers, R.T. (R. Thomas)
- Abstract
Heart failure (HF) is a leading cause of morbidity and mortality worldwide. A small proportion of HF cases are attributable to monogenic cardiomyopathies and existing genome-wide association studies (GWAS) have yielded only limited insights, leaving the observed heritability of HF largely unexplained. We report results from a GWAS meta-analysis of HF comprising 47,309 cases and 930,014 controls. Twelve independent variants at 11 genomic loci are associated with HF, all of which demonstrate one or more associations with coronary artery disease (CAD), atrial fibrillation, or reduced left ventricular function, suggesting shared genetic aetiology. Functional analysis of non-CAD-associated loci implicate genes involved in cardiac development (MYOZ1, SYNPO2L), protein homoeostasis (BAG3), and cellular senescence (CDKN1A). Mendelian randomisation analysis supports causal roles for several HF risk factors, and demonstrates CAD-independent effects for atrial fibrillation, body mass index, and hypertension. These findings extend our knowledge of the pathways underlying HF and may inform new therapeutic strategies.
- Published
- 2020
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3. Cloning, tissue expression, and chromosomal localization of SUR2, the putative drug-binding subunit of cardiac, skeletal muscle, and vascular KATP channels
- Author
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Chutkow, W. A., primary, Simon, M. C., additional, Le Beau, M. M., additional, and Burant, C. F., additional
- Published
- 1996
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4. Alternative splicing of sur2 Exon 17 regulates nucleotide sensitivity of the ATP-sensitive potassium channel.
- Author
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Chutkow, W A, Makielski, J C, Nelson, D J, Burant, C F, and Fan, Z
- Abstract
ATP-sensitive potassium channels (KATP) are implicated in a diverse array of physiological functions. Previous work has shown that alternative usage of exons 14, 39, and 40 of the muscle-specific KATP channel regulatory subunit, sur2, occurs in tissue-specific patterns. Here, we show that exon 17 of the first nucleotide binding fold of sur2 is also alternatively spliced. RNase protection demonstrates that SUR2(Delta17) predominates in skeletal muscle and gut and is also expressed in bladder, fat, heart, lung, liver, and kidney. Polymerase chain reaction and restriction digest analysis of sur2 cDNA demonstrate the existence of at least five sur2 splice variants as follows: SUR2(39), SUR2(40), SUR2(Delta17/39), SUR2(Delta17/40), and SUR2(Delta14/39). Electrophysiological recordings of excised, inside-out patches from COS cells cotransfected with Kir6.2 and the sur2 variants demonstrated that exon 17 splicing alters KATP sensitivity to ATP block by 2-fold from approximately 40 to approximately 90 microM for exon 17 and Delta17, respectively. Single channel kinetic analysis of SUR2(39) and SUR2(Delta17/39) demonstrated that both exhibited characteristic KATP kinetics but that SUR2(Delta17/39) exhibited longer mean burst durations and shorter mean interburst dwell times. In sum, alternative splicing of sur2 enhances the observed diversity of KATP and may contribute to tissue-specific modulation of ATP sensitivity.
- Published
- 1999
5. Cloning, tissue expression, and chromosomal localization of SUR2, the putative drug-binding subunit of cardiac, skeletal muscle, and vascular K(ATP) channels
- Author
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Chutkow, W. A., Simon, M. C., Le Beau, M. M., and Charles Burant
- Subjects
Endocrinology, Diabetes and Metabolism ,Internal Medicine
6. Aptamer Proteomics for Biomarker Discovery in Heart Failure With Preserved Ejection Fraction: The PARAGON-HF Proteomic Substudy.
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Patel-Murray NL, Zhang L, Claggett BL, Xu D, Serrano-Fernandez P, Healey M, Wandel S, Chen CW, Jacob J, Xu H, Turner GM, Chutkow W, Yates DP, O'Donnell CJ, Prescott MF, Lefkowitz M, Gimpelewicz CR, Beste MT, Zhao F, Gou L, Desai AS, Jhund PS, Packer M, Pfeffer MA, Redfield MM, Rouleau JL, Zannad F, Zile MR, McMurray JJV, Mendelson MM, Solomon SD, and Cunningham JW
- Subjects
- Humans, Male, Female, Aged, Middle Aged, Biphenyl Compounds therapeutic use, Angiotensin Receptor Antagonists therapeutic use, Aptamers, Nucleotide therapeutic use, Prognosis, Ventricular Function, Left, Heart Failure drug therapy, Heart Failure blood, Heart Failure physiopathology, Heart Failure mortality, Proteomics methods, Biomarkers blood, Valsartan therapeutic use, Stroke Volume physiology, Aminobutyrates therapeutic use, Tetrazoles therapeutic use, Drug Combinations
- Abstract
Background: Prognostic markers and biological pathways linked to detrimental clinical outcomes in heart failure with preserved ejection fraction (HFpEF) remain incompletely defined., Methods and Results: We measured serum levels of 4123 unique proteins in 1117 patients with HFpEF enrolled in the PARAGON-HF (Efficacy and Safety of LCZ696 Compared to Valsartan, on Morbidity and Mortality in Heart Failure Patients With Preserved Ejection Fraction) trial using a modified aptamer proteomic assay. Baseline circulating protein concentrations significantly associated with the primary end point and the timing and occurrence of total heart failure hospitalization and cardiovascular death were identified by recurrent events regression, accounting for multiple testing, adjusted for age, sex, treatment, and anticoagulant use, and compared with published analyses in 2515 patients with heart failure with reduced ejection fraction from the PARADIGM-HF (Prospective Comparison of ARNI With ACEI to Determine Impact on Global Mortality and Morbidity in Heart Failure) and ATMOSPHERE (Efficacy and Safety of Aliskiren and Aliskiren/Enalapril Combination on Morbidity-Mortality in Patients With Chronic Heart Failure) clinical trials. We identified 288 proteins that were robustly associated with the risk of heart failure hospitalization and cardiovascular death in patients with HFpEF. The baseline proteins most strongly related to outcomes included B2M (β-2 microglobulin), TIMP1 (tissue inhibitor of matrix metalloproteinase 1), SERPINA4 (serpin family A member 4), and SVEP1 (sushi, von Willebrand factor type A, EGF, and pentraxin domain containing 1). Overall, the protein-outcome associations in patients with HFpEF did not markedly differ as compared with patients with heart failure with reduced ejection fraction. A proteomic risk score derived in patients with HFpEF was not superior to a previous proteomic score derived in heart failure with reduced ejection fraction nor to clinical risk factors, NT-proBNP (N-terminal pro-B-type natriuretic peptide), or high-sensitivity cardiac troponin., Conclusions: Numerous serum proteins linked to metabolic, coagulation, and extracellular matrix regulatory pathways were associated with worse HFpEF prognosis in the PARAGON-HF proteomic substudy. Our results demonstrate substantial similarities among serum proteomic risk markers for heart failure hospitalization and cardiovascular death when comparing clinical trial participants with heart failure across the ejection fraction spectrum., Registration: URL: https://www.clinicaltrials.gov; Unique Identifiers: NCT01920711, NCT01035255, NCT00853658.
- Published
- 2024
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7. Machine Learning for Proteomic Risk Scores in Heart Failure.
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Xu D, Cunningham J, Marti-Castellote PM, Zhang L, Patel-Murray NL, Prescott MF, Chutkow W, Mendelson MM, Solomon SD, and Claggett BL
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- Humans, Proteomics, Machine Learning, Risk Factors, Heart Failure diagnosis
- Abstract
Competing Interests: Disclosures JC reports consulting for Roche Diagnostics, KCK, and Occlutech. BLC has received consulting fees from Bristol Myers Squibb, Cardurion, Corvia, Cytokinetics, Intellia, Novartis, Rocket. SDS has received research grants from Actelion, Alnylam, Amgen, AstraZeneca, Bellerophon, Bayer, BMS, Celladon, Cytokinetics, Eidos, Gilead, GSK, Ionis, Lilly, Mesoblast, MyoKardia, NIH/NHLBI, Neurotronik, Novartis, NovoNordisk, Respicardia, Sanofi Pasteur, Theracos, US2.AI and has consulted for Abbott, Action, Akros, Alnylam, Amgen, Arena, AstraZeneca, Bayer, Boeringer-Ingelheim, BMS, Cardior, Cardurion, Corvia, Cytokinetics, Daiichi-Sankyo, GSK, Lilly, Merck, Myokardia, Novartis, Roche, Theracos, Quantum Gen omics, Cardurion, Janssen, Cardiac Dimensions, Tenaya, Sanofi-Pasteur, Dinaqor, Tremeau, CellProThera, Moderna, American Regent, Sarepta, Lexicon, Anacardio, Akros. LZ, N L P-M, MFP, WC, and MMM are employees of Novartis and may be shareholders. The remaining authors have no relationships to disclose.
- Published
- 2023
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8. Clinical characteristics of heart failure with reduced ejection fraction patients with rare pathogenic variants in dilated cardiomyopathy-associated genes: A subgroup analysis of the PARADIGM-HF trial.
- Author
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Barat A, Chen CW, Patel-Murray N, McMurray JJV, Packer M, Solomon SD, Desai AS, Rouleau JL, Zile MR, Attari Z, Zhang C, Xu H, Hartman N, Hon C, Healey M, Chutkow W, O'Donnell CJ, Jacob J, Lefkowitz M, Mendelson MM, Wandel S, Yates D, and Gimpelewicz C
- Subjects
- Humans, Stroke Volume, Cardiomyopathy, Dilated epidemiology, Cardiomyopathy, Dilated genetics, Cardiomyopathy, Dilated complications, Heart Failure epidemiology, Heart Failure genetics
- Abstract
Aims: To evaluate the prevalence of pathogenic variants in genes associated with dilated cardiomyopathy (DCM) in a clinical trial population with heart failure and reduced ejection fraction (HFrEF) and describe the baseline characteristics by variant carrier status., Methods and Results: This was a post hoc analysis of the Phase 3 PARADIGM-HF trial. Forty-four genes, divided into three tiers, based on definitive, moderate or limited evidence of association with DCM, were assessed for rare predicted loss-of-function (pLoF) variants, which were prioritized using ClinVar annotations, measures of gene transcriptional output and evolutionary constraint, and pLoF confidence predictions. Prevalence was reported for pLoF variant carriers based on DCM-associated gene tiers. Clinical features were compared between carriers and non-carriers. Of the 1412 HFrEF participants with whole-exome sequence data, 68 (4.8%) had at least one pLoF variant in the 8 tier-1 genes (definitive/strong association with DCM), with Titin being most commonly affected. The prevalence increased to 7.5% when considering all 44 genes. Among patients with idiopathic aetiology, 10.0% (23/229) had tier-1 variants only and 12.6% (29/229) had tier-1, -2 or -3 variants. Compared to non-carriers, tier-1 carriers were younger (4 years; adjusted p-value [p
adj ] = 4 × 10-3 ), leaner (27.8 kg/m2 vs. 29.4 kg/m2 ; padj = 3.2 × 10-3 ), had lower ejection fraction (27.3% vs. 29.8%; padj = 5.8 × 10-3 ), and less likely to have ischaemic aetiology (37.3% vs. 67.4%; padj = 4 × 10-4 )., Conclusion: Deleterious pLoF variants in genes with definitive/strong association with DCM were identified in ∼5% of HFrEF patients from a PARADIGM-HF trial subset, who were younger, had lower ejection fraction and were less likely to have had an ischaemic aetiology., (© 2023 Novartis Pharma AG and The Authors. European Journal of Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.)- Published
- 2023
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9. Sensory ataxia and cardiac hypertrophy caused by neurovascular oxidative stress in chemogenetic transgenic mouse lines.
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Yadav S, Waldeck-Weiermair M, Spyropoulos F, Bronson R, Pandey AK, Das AA, Sisti AC, Covington TA, Thulabandu V, Caplan S, Chutkow W, Steinhorn B, and Michel T
- Subjects
- Mice, Animals, Mice, Transgenic, Cardiomegaly, Oxidative Stress, Ataxia complications, Friedreich Ataxia
- Abstract
Oxidative stress is associated with cardiovascular and neurodegenerative diseases. Here we report studies of neurovascular oxidative stress in chemogenetic transgenic mouse lines expressing yeast D-amino acid oxidase (DAAO) in neurons and vascular endothelium. When these transgenic mice are fed D-amino acids, DAAO generates hydrogen peroxide in target tissues. DAAO-TG
Cdh5 transgenic mice express DAAO under control of the putatively endothelial-specific Cdh5 promoter. When we provide these mice with D-alanine, they rapidly develop sensory ataxia caused by oxidative stress and mitochondrial dysfunction in neurons within dorsal root ganglia and nodose ganglia innervating the heart. DAAO-TGCdh5 mice also develop cardiac hypertrophy after chronic chemogenetic oxidative stress. This combination of ataxia, mitochondrial dysfunction, and cardiac hypertrophy is similar to findings in patients with Friedreich's ataxia. Our observations indicate that neurovascular oxidative stress is sufficient to cause sensory ataxia and cardiac hypertrophy. Studies of DAAO-TGCdh5 mice could provide mechanistic insights into Friedreich's ataxia., (© 2023. The Author(s).)- Published
- 2023
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10. Aptamer Proteomics for Biomarker Discovery in Heart Failure With Reduced Ejection Fraction.
- Author
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Zhang L, Cunningham JW, Claggett BL, Jacob J, Mendelson MM, Serrano-Fernandez P, Kaiser S, Yates DP, Healey M, Chen CW, Turner GM, Patel-Murray NL, Zhao F, Beste MT, Laramie JM, Abraham WT, Jhund PS, Kober L, Packer M, Rouleau J, Zile MR, Prescott MF, Lefkowitz M, McMurray JJV, Solomon SD, and Chutkow W
- Subjects
- Humans, Stroke Volume, Proteomics, Biomarkers, Heart Failure diagnosis, Ventricular Dysfunction, Left
- Published
- 2022
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11. The genomics of heart failure: design and rationale of the HERMES consortium.
- Author
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Lumbers RT, Shah S, Lin H, Czuba T, Henry A, Swerdlow DI, Mälarstig A, Andersson C, Verweij N, Holmes MV, Ärnlöv J, Svensson P, Hemingway H, Sallah N, Almgren P, Aragam KG, Asselin G, Backman JD, Biggs ML, Bloom HL, Boersma E, Brandimarto J, Brown MR, Brunner-La Rocca HP, Carey DJ, Chaffin MD, Chasman DI, Chazara O, Chen X, Chen X, Chung JH, Chutkow W, Cleland JGF, Cook JP, de Denus S, Dehghan A, Delgado GE, Denaxas S, Doney AS, Dörr M, Dudley SC, Engström G, Esko T, Fatemifar G, Felix SB, Finan C, Ford I, Fougerousse F, Fouodjio R, Ghanbari M, Ghasemi S, Giedraitis V, Giulianini F, Gottdiener JS, Gross S, Guðbjartsson DF, Gui H, Gutmann R, Haggerty CM, van der Harst P, Hedman ÅK, Helgadottir A, Hillege H, Hyde CL, Jacob J, Jukema JW, Kamanu F, Kardys I, Kavousi M, Khaw KT, Kleber ME, Køber L, Koekemoer A, Kraus B, Kuchenbaecker K, Langenberg C, Lind L, Lindgren CM, London B, Lotta LA, Lovering RC, Luan J, Magnusson P, Mahajan A, Mann D, Margulies KB, Marston NA, März W, McMurray JJV, Melander O, Melloni G, Mordi IR, Morley MP, Morris AD, Morris AP, Morrison AC, Nagle MW, Nelson CP, Newton-Cheh C, Niessner A, Niiranen T, Nowak C, O'Donoghue ML, Owens AT, Palmer CNA, Paré G, Perola M, Perreault LL, Portilla-Fernandez E, Psaty BM, Rice KM, Ridker PM, Romaine SPR, Roselli C, Rotter JI, Ruff CT, Sabatine MS, Salo P, Salomaa V, van Setten J, Shalaby AA, Smelser DT, Smith NL, Stefansson K, Stender S, Stott DJ, Sveinbjörnsson G, Tammesoo ML, Tardif JC, Taylor KD, Teder-Laving M, Teumer A, Thorgeirsson G, Thorsteinsdottir U, Torp-Pedersen C, Trompet S, Tuckwell D, Tyl B, Uitterlinden AG, Vaura F, Veluchamy A, Visscher PM, Völker U, Voors AA, Wang X, Wareham NJ, Weeke PE, Weiss R, White HD, Wiggins KL, Xing H, Yang J, Yang Y, Yerges-Armstrong LM, Yu B, Zannad F, Zhao F, Wilk JB, Holm H, Sattar N, Lubitz SA, Lanfear DE, Shah S, Dunn ME, Wells QS, Asselbergs FW, Hingorani AD, Dubé MP, Samani NJ, Lang CC, Cappola TP, Ellinor PT, Vasan RS, and Smith JG
- Subjects
- Aged, Aged, 80 and over, Female, Genomics, Humans, Male, Middle Aged, Prognosis, Genome-Wide Association Study, Heart Failure genetics
- Abstract
Aims: The HERMES (HEart failure Molecular Epidemiology for Therapeutic targetS) consortium aims to identify the genomic and molecular basis of heart failure., Methods and Results: The consortium currently includes 51 studies from 11 countries, including 68 157 heart failure cases and 949 888 controls, with data on heart failure events and prognosis. All studies collected biological samples and performed genome-wide genotyping of common genetic variants. The enrolment of subjects into participating studies ranged from 1948 to the present day, and the median follow-up following heart failure diagnosis ranged from 2 to 116 months. Forty-nine of 51 individual studies enrolled participants of both sexes; in these studies, participants with heart failure were predominantly male (34-90%). The mean age at diagnosis or ascertainment across all studies ranged from 54 to 84 years. Based on the aggregate sample, we estimated 80% power to genetic variant associations with risk of heart failure with an odds ratio of ≥1.10 for common variants (allele frequency ≥ 0.05) and ≥1.20 for low-frequency variants (allele frequency 0.01-0.05) at P < 5 × 10
-8 under an additive genetic model., Conclusions: HERMES is a global collaboration aiming to (i) identify the genetic determinants of heart failure; (ii) generate insights into the causal pathways leading to heart failure and enable genetic approaches to target prioritization; and (iii) develop genomic tools for disease stratification and risk prediction., (© 2021 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology.)- Published
- 2021
- Full Text
- View/download PDF
12. Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure.
- Author
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Shah S, Henry A, Roselli C, Lin H, Sveinbjörnsson G, Fatemifar G, Hedman ÅK, Wilk JB, Morley MP, Chaffin MD, Helgadottir A, Verweij N, Dehghan A, Almgren P, Andersson C, Aragam KG, Ärnlöv J, Backman JD, Biggs ML, Bloom HL, Brandimarto J, Brown MR, Buckbinder L, Carey DJ, Chasman DI, Chen X, Chen X, Chung J, Chutkow W, Cook JP, Delgado GE, Denaxas S, Doney AS, Dörr M, Dudley SC, Dunn ME, Engström G, Esko T, Felix SB, Finan C, Ford I, Ghanbari M, Ghasemi S, Giedraitis V, Giulianini F, Gottdiener JS, Gross S, Guðbjartsson DF, Gutmann R, Haggerty CM, van der Harst P, Hyde CL, Ingelsson E, Jukema JW, Kavousi M, Khaw KT, Kleber ME, Køber L, Koekemoer A, Langenberg C, Lind L, Lindgren CM, London B, Lotta LA, Lovering RC, Luan J, Magnusson P, Mahajan A, Margulies KB, März W, Melander O, Mordi IR, Morgan T, Morris AD, Morris AP, Morrison AC, Nagle MW, Nelson CP, Niessner A, Niiranen T, O'Donoghue ML, Owens AT, Palmer CNA, Parry HM, Perola M, Portilla-Fernandez E, Psaty BM, Rice KM, Ridker PM, Romaine SPR, Rotter JI, Salo P, Salomaa V, van Setten J, Shalaby AA, Smelser DT, Smith NL, Stender S, Stott DJ, Svensson P, Tammesoo ML, Taylor KD, Teder-Laving M, Teumer A, Thorgeirsson G, Thorsteinsdottir U, Torp-Pedersen C, Trompet S, Tyl B, Uitterlinden AG, Veluchamy A, Völker U, Voors AA, Wang X, Wareham NJ, Waterworth D, Weeke PE, Weiss R, Wiggins KL, Xing H, Yerges-Armstrong LM, Yu B, Zannad F, Zhao JH, Hemingway H, Samani NJ, McMurray JJV, Yang J, Visscher PM, Newton-Cheh C, Malarstig A, Holm H, Lubitz SA, Sattar N, Holmes MV, Cappola TP, Asselbergs FW, Hingorani AD, Kuchenbaecker K, Ellinor PT, Lang CC, Stefansson K, Smith JG, Vasan RS, Swerdlow DI, and Lumbers RT
- Subjects
- Adaptor Proteins, Signal Transducing genetics, Apoptosis Regulatory Proteins genetics, Cardiomyopathies pathology, Carrier Proteins genetics, Case-Control Studies, Cyclin-Dependent Kinase Inhibitor p21 genetics, Genome-Wide Association Study, Humans, Mendelian Randomization Analysis, Microfilament Proteins genetics, Muscle Proteins genetics, Risk Factors, Atrial Fibrillation genetics, Cardiomyopathies genetics, Coronary Artery Disease genetics, Heart Failure genetics, Heart Failure pathology, Ventricular Function, Left genetics
- Abstract
Heart failure (HF) is a leading cause of morbidity and mortality worldwide. A small proportion of HF cases are attributable to monogenic cardiomyopathies and existing genome-wide association studies (GWAS) have yielded only limited insights, leaving the observed heritability of HF largely unexplained. We report results from a GWAS meta-analysis of HF comprising 47,309 cases and 930,014 controls. Twelve independent variants at 11 genomic loci are associated with HF, all of which demonstrate one or more associations with coronary artery disease (CAD), atrial fibrillation, or reduced left ventricular function, suggesting shared genetic aetiology. Functional analysis of non-CAD-associated loci implicate genes involved in cardiac development (MYOZ1, SYNPO2L), protein homoeostasis (BAG3), and cellular senescence (CDKN1A). Mendelian randomisation analysis supports causal roles for several HF risk factors, and demonstrates CAD-independent effects for atrial fibrillation, body mass index, and hypertension. These findings extend our knowledge of the pathways underlying HF and may inform new therapeutic strategies.
- Published
- 2020
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13. The effects of licogliflozin, a dual SGLT1/2 inhibitor, on body weight in obese patients with or without diabetes.
- Author
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He YL, Haynes W, Meyers CD, Amer A, Zhang Y, Mahling P, Mendonza AE, Ma S, Chutkow W, and Bachman E
- Subjects
- Adult, Anhydrides administration & dosage, Anhydrides adverse effects, Blood Glucose metabolism, Cross-Over Studies, Diabetes Mellitus, Type 2 blood, Female, Humans, Male, Middle Aged, Obesity blood, Obesity complications, Sodium-Glucose Transporter 2 Inhibitors administration & dosage, Sodium-Glucose Transporter 2 Inhibitors adverse effects, Sorbitol administration & dosage, Sorbitol adverse effects, Sorbitol pharmacology, Young Adult, Anhydrides pharmacology, Body Weight drug effects, Diabetes Mellitus, Type 2 complications, Obesity drug therapy, Sodium-Glucose Transporter 2 Inhibitors pharmacology, Sorbitol analogs & derivatives
- Abstract
Background: There is an unmet need for a safer and more effective treatment for obesity. This study assessed the effects of licogliflozin, a dual inhibitor of sodium-glucose co-transporter (SGLT) 1/2, on body weight, metabolic parameters and incretin hormones in patients with type 2 diabetes mellitus (T2DM) and/or obesity., Methods: Patients with obesity (BMI, 35-50 kg/m
2 ) were enrolled into a 12-week study (N = 88; licogliflozin 150 mg q.d.). Patients with T2DM were enrolled into a second, two-part study, comprising a single-dose cross-over study (N = 12; 2.5 - 300 mg) and a 14-day dosing study (N = 30; 15 mg q.d). Primary endpoints included effects on body weight, effects on glucose, safety and tolerability. Secondary endpoints included urinary glucose excretion (UGE24 ) and pharmacokinetics, while exploratory endpoints assessed the effects on incretin hormones (total GLP-1, PYY3-36 , and GIP), insulin and glucagon., Results: Treatment with licogliflozin 150 mg q.d. for 12 weeks in patients with obesity significantly reduced body weight by 5.7% vs placebo (P < 0.001) and improved metabolic parameters such as significantly reduced postprandial glucose excursion (21%; P < 0.001), reduced insulin levels (80%; P < 0.001) and increased glucagon (59%; P < 0.001). In patients with T2DM, a single dose of licogliflozin 300 mg in the morning prior to an oral glucose tolerance test (OGTT) remarkably reduced glucose excursion by 93% (P < 0.001; incremental AUC0-4h ) and suppressed insulin by 90% (P < 0.01; incremental AUC0-4h ). Treatment with licogliflozin 15 mg q.d. for 14 days reduced 24-hour average glucose levels by 26% (41 mg/dL; P < 0.001) and increased UGE24 to 100 g (P < 0.001) in patients with T2DM. In addition, this treatment regimen significantly increased total GLP-1 by 54% (P < 0.001) and PYY3-36 by 67% (P < 0.05) post OGTT vs placebo, while significantly reducing GIP levels by 53% (P < 0.001). Treatment with licogliflozin was generally safe and well tolerated. Diarrhea (increased numbers of loose stool) was the most common adverse event in all studies (90% with licogliflozin vs 25% with placebo in the 12-week study), while a lower incidence of flatulence, abdominal pain and abdominal distension (25%-43% with licogliflozin vs 9%-11% with placebo in the 12-week study) were among the other gastrointestinal events reported., Conclusion: Licogliflozin treatment (1-84 days) leads to significant weight loss and favourable changes in a variety of metabolic parameters and incretin hormones. Dual inhibition of SGLT1/2 with licogliflozin in the gut and kidneys is an attractive strategy for treating obesity and diabetes., (© 2019 John Wiley & Sons Ltd.)- Published
- 2019
- Full Text
- View/download PDF
14. Myocardial infarction triggers chronic cardiac autoimmunity in type 1 diabetes.
- Author
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Gottumukkala RV, Lv H, Cornivelli L, Wagers AJ, Kwong RY, Bronson R, Stewart GC, Schulze PC, Chutkow W, Wolpert HA, Lee RT, and Lipes MA
- Subjects
- Animals, Autoantibodies immunology, Mice, Autoimmunity immunology, Diabetes Mellitus, Type 1 immunology, Myocardial Infarction immunology, Myocardium immunology
- Abstract
Patients with type 1 diabetes (T1D) suffer excessive morbidity and mortality after myocardial infarction (MI) that is not fully explained by the metabolic effects of diabetes. Acute MI is known to trigger a profound innate inflammatory response with influx of mononuclear cells and production of proinflammatory cytokines that are crucial for cardiac repair. We hypothesized that these same pathways might exert "adjuvant effects" and induce pathological responses in autoimmune-prone T1D hosts. Here, we show that experimental MI in nonobese diabetic mice, but not in control C57BL/6 mice, results in a severe post-infarction autoimmune (PIA) syndrome characterized by destructive lymphocytic infiltrates in the myocardium, infarct expansion, sustained cardiac autoantibody production, and T helper type 1 effector cell responses against cardiac (α-)myosin. PIA was prevented by inducing tolerance to α-myosin, demonstrating that immune responses to cardiac myosin are essential for this disease process. Extending these findings to humans, we developed a panel of immunoassays for cardiac autoantibody detection and found autoantibody positivity in 83% post-MI T1D patients. We further identified shared cardiac myosin autoantibody signatures between post-MI T1D patients and nondiabetic patients with myocarditis, which were absent in post-MI type 2 diabetic patients, and confirmed the presence of myocarditis in T1D by cardiac magnetic resonance imaging techniques. These data provide experimental and clinical evidence for a distinct post-MI autoimmune syndrome in T1D. Our findings suggest that PIA may contribute to worsened post-MI outcomes in T1D and highlight a role for antigen-specific immunointervention to selectively block this pathway.
- Published
- 2012
- Full Text
- View/download PDF
15. Disruption of Sur2-containing K(ATP) channels enhances insulin-stimulated glucose uptake in skeletal muscle.
- Author
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Chutkow WA, Samuel V, Hansen PA, Pu J, Valdivia CR, Makielski JC, and Burant CF
- Subjects
- Analysis of Variance, Animals, Biological Transport, Blood Glucose metabolism, Deoxyglucose pharmacokinetics, Exons, Glucose Clamp Technique, Glucose Tolerance Test, Glucose Transporter Type 4, Insulin blood, Introns, Mice, Mice, Knockout, Monosaccharide Transport Proteins genetics, Muscle, Skeletal drug effects, Polymerase Chain Reaction, Potassium Channels deficiency, Potassium Channels genetics, RNA, Messenger metabolism, Receptors, Drug deficiency, Receptors, Drug genetics, Signal Transduction, Sodium-Potassium-Exchanging ATPase metabolism, Sulfonylurea Receptors, Triglycerides blood, Weight Gain, ATP-Binding Cassette Transporters, Glucose metabolism, Insulin pharmacology, Muscle Proteins, Muscle, Skeletal physiology, Potassium Channels physiology, Potassium Channels, Inwardly Rectifying, Receptors, Drug physiology
- Abstract
ATP-sensitive potassium channels (K(ATP)) are involved in a diverse array of physiologic functions including protection of tissue against ischemic insult, regulation of vascular tone, and modulation of insulin secretion. To improve our understanding of the role of K(ATP) in these processes, we used a gene-targeting strategy to generate mice with a disruption in the muscle-specific K(ATP) regulatory subunit, SUR2. Insertional mutagenesis of the Sur2 locus generated homozygous null (Sur2(-/-)) mice and heterozygote (Sur2(+/-)) mice that are viable and phenotypically similar to their wild-type littermates to 6 weeks of age despite, respectively, half or no SUR2 mRNA expression or channel activity in skeletal muscle or heart. Sur2(-/-) animals had lower fasting and fed serum glucose, exhibited improved glucose tolerance during a glucose tolerance test, and demonstrated a more rapid and severe hypoglycemia after administration of insulin. Enhanced glucose use was also observed during in vivo hyperinsulinemic euglycemic clamp studies during which Sur2(-/-) mice required a greater glucose infusion rate to maintain a target blood glucose level. Enhanced insulin action was intrinsic to the skeletal muscle, as in vitro insulin-stimulated glucose transport was 1.5-fold greater in Sur2(-/-) muscle than in wild type. Thus, membrane excitability and K(ATP) activity, to our knowledge, seem to be new components of the insulin-stimulated glucose uptake mechanism, suggesting possible future therapeutic approaches for individuals suffering from diabetes mellitus.
- Published
- 2001
- Full Text
- View/download PDF
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