1,446 results on '"Kim, Min-A"'
Search Results
2. A cochleate formulation optimized by D-optimal mixture design enhances oral bioavailability of Revaprazan
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Goo, Yoon Tae, Kim, Min Song, Choi, Ji Yeh, Sin, Gi Hyeong, Hong, Sun Ho, Kim, Chang Hyun, and Choi, Young Wook
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Pharmaceutical Science - Abstract
A cochleate formulation was developed to enhance the oral bioavailability of revaprazan (RVP). Dimyristoyl phosphatidylcholine (DMPC) liposome containing dicetyl phosphate (DCP) successfully formed a cochleate after treatment with CaCl2, whereas that containing sodium deoxycholate did not. Cochleate was optimised using a D-optimal mixture design with three independent variables—DMPC (X1, 70.58 mol%), cholesterol (X2, 22.54 mol%), and DCP (X3, 6.88 mol%)—and three response variables: encapsulation efficiency (Y1, 76.92%), released amount of free fatty acid at 2 h (Y2, 39.82%), and released amount of RVP at 6 h (Y3, 73.72%). The desirability function was 0.616, showing an excellent agreement between the predicted and experimental values. The cylindrical morphology of the optimised cochleate was visualised, and laurdan spectroscopy confirmed the dehydrated membrane interface, showing an increased generalised polarisation value (approximately 0.5) over small unilamellar vesicle of RVP (RVP-SUV; approximately 0.1). The optimised cochleate showed greater resistance to pancreatic enzyme than RVP-SUV. RVP was released in a controlled manner, achieving approximately 94% release in 12 h. Following oral administration in rats, the optimised cochleate improved the relative bioavailability of RVP by approximately 274%, 255%, and 172% compared to RVP suspension, a physical mixture of RVP and the cochleate, and RVP-SUV, respectively. Thus, the optimised cochleate formulation might be a good candidate for the practical development of RVP.
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- 2023
3. Facing to Latency of Hyperledger Fabric for Blockchain-enabled IoT: Modeling and Analysis
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Lee, Sungho, Kim, Minsu, Lee, Jemin, Hsu, Ruei-Hau, Kim, Min-Soo, and Quek, Tony Q. S.
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Performance (cs.PF) ,FOS: Computer and information sciences ,Computer Science - Performance ,Computer Science - Distributed, Parallel, and Cluster Computing ,Computer Networks and Communications ,Hardware and Architecture ,Distributed, Parallel, and Cluster Computing (cs.DC) ,Software ,Information Systems - Abstract
Hyperledger Fabric (HLF), one of the most popular private blockchains, has recently received attention for blockchain-enabled Internet of Things (IoT). However, for IoT applications to handle time-sensitive data, the processing latency in HLF has emerged as a new challenge. In this article, therefore, we establish a practical HLF latency model for HLF-enabled IoT. We first discuss the structure and transaction flow of HLF-enabled IoT. After implementing real HLF, we capture the latencies that each transaction experiences and show that the total latency of HLF can be modeled as a Gamma distribution, which is validated by conducting a goodness-of-fit test (i.e., the Kolmogorov-Smirnov (KS) test). We also provide the parameter values of the modeled latency distribution for various HLF environments. Furthermore, we explore the impacts of three important HLF parameters including transaction generation rate, block size, and block-generation timeout on the HLF latency. As a result, this article provides design insights on minimizing the latency for HLF-enabled IoT., Comment: 7 pages, 5 figures, 1 table
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- 2023
4. Statistical Analysis on the Complex Differences and Characteristics of Product Image of Robot Vacuum Cleaner by Cognitive Characteristics according to the Use Experience
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Kim Min Soo and Kyung Jin Park
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General Earth and Planetary Sciences ,General Environmental Science - Published
- 2022
5. Incidence of new onset glomerulonephritis after SARS-CoV-2 mRNA vaccination is not increased
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Diebold, Matthias, Locher, Eleonore, Boide, Philipp, Enzler-Tschudy, Annette, Faivre, Anna, Fischer, Ingeborg, Helmchen, Birgit, Hopfer, Helmut, Kim, Min Jeong, Moll, Solange, Nanchen, Giliane, Rotman, Samuel, Saganas, Charalampos, Seeger, Harald, Kistler, Andreas D, University of Zurich, and Kistler, Andreas D
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Adult ,COVID-19 Vaccines ,2727 Nephrology ,SARS-CoV-2 ,Incidence ,Vaccination ,COVID-19 ,Bayes Theorem ,610 Medicine & health ,Humans ,Retrospective Studies ,COVID-19 Vaccines/adverse effects ,COVID-19/epidemiology ,COVID-19/prevention & control ,Glomerulonephritis/epidemiology ,Glomerulonephritis/etiology ,Vaccination/adverse effects ,RNA, Messenger ,COVID vaccine ,IgA nephropathy ,SARS-CoV-2 vaccination ,glomerulonephritis ,membranous nephropathy ,minimal change disease ,Glomerulonephritis ,Nephrology ,10049 Institute of Pathology and Molecular Pathology ,10035 Clinic for Nephrology - Abstract
Numerous cases of glomerulonephritis manifesting shortly after SARS-CoV-2 vaccination have been reported, but causality remains unproven. Here, we studied the association between mRNA-based SARS-CoV-2 vaccination and new-onset glomerulonephritis using a nationwide retrospective cohort and a case-cohort design. Data from all Swiss pathology institutes processing native kidney biopsies served to calculate incidence of IgA nephropathy, pauci-immune necrotizing glomerulonephritis, minimal change disease, and membranous nephropathy in the adult Swiss population. The observed incidence during the vaccination campaign (January to August 2021) was not different from the expected incidence calculated using a Bayesian model based on the years 2015 to 2019 (incidence rate ratio 0.86, 95% credible interval 0.73-1.02) and did not cross the upper boundary of the 95% credible interval for any month. Among 111 patients 18 years and older with newly diagnosed glomerulonephritis between January and August 2021, 38.7% had received at least one vaccine dose before biopsy, compared to 39.5% of the general Swiss population matched for age and calendar-time. The estimated risk ratio for the development of new-onset biopsy-proven glomerulonephritis was not significant at 0.97 (95% confidence interval 0.66-1.42) in vaccinated vs. unvaccinated individuals. Patients with glomerulonephritis manifesting within four weeks after vaccination did not differ clinically from those manifesting temporally unrelated to vaccination. Thus, vaccination against SARS-CoV-2 was not associated with new-onset glomerulonephritis in these two complementary studies with most temporal associations between SARS-CoV-2 vaccination and glomerulonephritis likely coincidental.
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- 2022
6. Content Analysis of Multifaceted Needs for Improving the Quality of Pediatric Palliative Care Among Parents of Children With Life-threatening Conditions
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Kim, Cho-Hee, Kim, Min-Sun, Moon, Yi-Ji, Shin, Hee-Young, Lee, Myung-Nam, and Kang, Kyung-Ah
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Advanced and Specialized Nursing ,Community and Home Care - Abstract
This study aimed to identify parental needs for pediatric palliative care and obtain their opinions on developing pediatric palliative care in South Korea. This qualitative research design used inductive and deductive methods. The data were collected through semistructured interviews. A total of 6 parents actively caring for a child with life-threatening conditions and 7 bereaved parents participated in this study. A total of 707 significant statements, 43 subthemes, and 16 themes according to 6 structured matrices (advance care planning and symptom control, psychological and spiritual care, supporting everyday lives, end-of-life care and bereavement support, delivery model of pediatric palliative care, and unmet needs within current services) on the care and bereavement experiences of parents of children with life-threatening conditions were derived. Palliative care for children is a multidisciplinary approach to evaluate, prevent, and manage multifaceted symptoms and to support children with life-threatening conditions and their families. Our findings suggest that parents of children with life-threatening conditions in South Korea present multidimensional needs across the diagnostic groups and the illness trajectories and inform policy makers and health care professionals to design a pediatric palliative care delivery model. Further studies examining the unmet needs are required to enhance the quality of pediatric palliative care.
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- 2022
7. The death of Korean fir (Abies koreana) affects soil symbiotic fungal microbiome: Preliminary findings
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Jeong, Minsoo, Tagele, Setu Bazie, Kim, Min-Ji, Ko, Suk-Hyung, Kim, Kwon-Su, Koh, Jung-Goon, Jung, Da-Ryung, Jo, YoungJae, Jung, YeonGyun, Park, Yeong-Jun, Kim, Min-Sueng, Lim, Kyeongmo, and Shin, Jae-Ho
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Global and Planetary Change ,Ecology ,Forestry ,Environmental Science (miscellaneous) ,Nature and Landscape Conservation - Abstract
The population of the Korean fir, Abies koreana, is declining at an accelerating rate, and the average mortality rate in 2019 exceeded 36.43% on Mt. Hallasan in Jeju Island, Republic of Korea. Several prior studies have reported different reasons with various interpretations, indicating that additional data, such as data on microbial communities that promote plant growth and resistance to abiotic stresses, are required to understand the phenomenon further. This is the first investigation that documents the changes in the soil microbial and fungal community and soil physicochemical properties resulting from the death of the Korean fir. In our case, high throughput sequencing data have been provided for the soil microbiome and mycobiome of Korean fir trees, identifying the microbial composition differences before and after the decline in the health of Korean fir trees. The results showed that the soil fungal community was considerably shaped in response to the decline in the health of Korean fir rather than the soil bacterial community. The decline in health or the death of Korean fir trees contributed to the decrease in diversity and dominance of symbiotic fungi such as Russula, Sebacina, and Phenoliferia in the forest ecosystem. It also weakened the complexity and ecological competition of the fungal co-occurrence network. Structural equation modeling showed that the death of Korean fir was strongly associated with the concentrations of soil nutrients such as available phosphorus (P2O5) and potassium ion (K+) concentrations and low moisture content, adversely affecting the symbiotic relationship with ectomycorrhizal fungi. Our findings shed light on the critical taxa of mycobiome of live and dead A. koreana plants and their relationship with ecological edaphic factors, highlighting their potential role as biomarkers for the death of Korean fir.
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- 2023
8. Global burden of chronic respiratory diseases and risk factors, 1990-2019: an update from the Global Burden of Disease Study 2019
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Momtazmanesh, Sara, Moghaddam, Sahar Saeedi, Ghamari, Seyyed-Hadi, Rad, Elaheh Malakan, Rezaei, Negar, Shobeiri, Parnian, Aali, Amirali, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abdelmasseh, Michael, Abdoun, Meriem, Abdulah, Deldar Morad, Md Abdullah, Abu Yousuf, Abedi, Aidin, Abolhassani, Hassan, Abrehdari-Tafreshi, Zahra, Achappa, Basavaprabhu, Adane Adane, Denberu Eshetie, Adane, Tigist Demssew, Addo, Isaac Yeboah, Adnan, Mohammad, Sakilah Adnani, Qorinah Estiningtyas, Ahmad, Sajjad, Ahmadi, Ali, Ahmadi, Keivan, Ahmed, Ali, Ahmed, Ayman, Rashid, Tarik Ahmed, Al Hamad, Hanadi, Alahdab, Fares, Alemayehu, Astawus, Alif, Sheikh Mohammad, Aljunid, Syed Mohamed, Almustanyir, Sami, Altirkawi, Khalid A., Alvis-Guzman, Nelson, Dehkordi, Javad Aminian, Amir-Behghadami, Mehrdad, Ancuceanu, Robert, Andrei, Catalina Liliana, Andrei, Tudorel, Antony, Catherine M., Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Arulappan, Judie, Ashraf, Tahira, Athari, Seyyed Shamsadin, Attia, Engi F., Ayele, Meshesha Tsegazeab, Azadnajafabad, Sina, Babu, Abraham Samuel, Bagherieh, Sara, Baltatu, Ovidiu Constantin, Banach, Maciej, Bardhan, Mainak, Barone-Adesi, Francesco, Barrow, Amadou, Basu, Saurav, Bayileyegn, Nebiyou Simegnew, Bensenor, Isabela M., Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhat, Ajay Nagesh, Bhattacharyya, Krittika, Bouaoud, Souad, Braithwaite, Dejana, Brauer, Michael, Butt, Muhammad Hammad, Butt, Zahid A., Calina, Daniela, Cámera, Luis Alberto, Chanie, Gashaw Sisay, Charalampous, Periklis, Chattu, Vijay Kumar, Chimed-Ochir, Odgerel, Chu, Dinh-Toi, Cohen, Aaron J., Cruz-Martins, Natália, Dadras, Omid, Darwesh, Aso Mohammad, Das, Saswati, Debela, Sisay Abebe, Delgado-Ortiz, Laura, Dereje, Diriba, Dianatinasab, Mostafa, Diao, Nancy, Diaz, Daniel, Digesa, Lankamo Ena, Dirirsa, Gebisa, Doku, Paul Narh, Dongarwar, Deepa, Douiri, Abdel, Dsouza, Haneil Larson, Eini, Ebrahim, Ekholuenetale, Michael, Ekundayo, Temitope Cyrus, Mustafa Elagali, Ahmed Elabbas, Elhadi, Muhammed, Enyew, Daniel Berhanie, Erkhembayar, Ryenchindorj, Etaee, Farshid, Fagbamigbe, Adeniyi Francis, Faro, Andre, Fatehizadeh, Ali, Fekadu, Ginenus, Filip, Irina, Fischer, Florian, Foroutan, Masoud, Franklin, Richard Charles, Gaal, Peter Andras, Gaihre, Santosh, Gaipov, Abduzhappar, Gebrehiwot, Mesfin, Gerema, Urge, Getachew, Motuma Erena, Getachew, Tamiru, Ghafourifard, Mansour, Ghanbari, Reza, Ghashghaee, Ahmad, Gholami, Ali, Gil, Artyom Urievich, Golechha, Mahaveer, Goleij, Pouya, Golinelli, Davide, Guadie, Habtamu Alganeh, Gupta, Bhawna, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Hadei, Mostafa, Halwani, Rabih, Hanif, Asif, Hargono, Arief, Harorani, Mehdi, Hartono, Risky Kusuma, Hasani, Hamidreza, Hashi, Abdiwahab, Hay, Simon I., Heidari, Mohammad, Hellemons, Merel E., Herteliu, Claudiu, Holla, Ramesh, Horita, Nobuyuki, Hoseini, Mohammad, Hosseinzadeh, Mehdi, Huang, Junjie, Hussain, Salman, Hwang, Bing-Fang, Iavicoli, Ivo, Ibitoye, Segun Emmanuel, Ibrahim, Sufyan, Ilesanmi, Olayinka Stephen, Ilic, Irena M., Ilic, Milena D., Immurana, Mustapha, Ismail, Nahlah Elkudssiah, Merin J, Linda, Jakovljevic, Mihajlo, Jamshidi, Elham, Janodia, Manthan Dilipkumar, Javaheri, Tahereh, Jayapal, Sathish Kumar, Jayaram, Shubha, Jha, Ravi Prakash, Johnson, Olatunji, Joo, Tamas, Joseph, Nitin, Jozwiak, Jacek Jerzy, K, Vaishali, Kaambwa, Billingsley, Kabir, Zubair, Kalankesh, Laleh R., Kalhor, Rohollah, Kandel, Himal, Karanth, Shama D., Karaye, Ibraheem M., Kassa, Bekalu Getnet, Kassie, Gizat M., Keikavoosi-Arani, Leila, Keykhaei, Mohammad, Khajuria, Himanshu, Khan, Imteyaz A., Khan, Moien A. B., Khan, Yusra H., Khreis, Haneen, Kim, Min Seo, Kisa, Adnan, Kisa, Sezer, Knibbs, Luke D., Kolkhir, Pavel, Komaki, Somayeh, Kompani, Farzad, Koohestani, Hamid Reza, Koolivand, Ali, Korzh, Oleksii, Koyanagi, Ai, Krishan, Kewal, Krohn, Kris J., Kumar, Naveen, Kumar, Nithin, Kurmi, Om P., Kuttikkattu, Ambily, La Vecchia, Carlo, Lám, Judit, Lan, Qing, Lasrado, Savita, Latief, Kamaluddin, Lauriola, Paolo, Lee, Sang-woong, Lee, Yo Han, Legesse, Samson Mideksa, Lenzi, Jacopo, Li, Ming-Chieh, Lin, Ro-Ting, Liu, Gang, Liu, Wei, Lo, Chun-Han, Lorenzovici, László, Lu, Yifei, Mahalingam, Soundarya, Mahmoudi, Elham, Mahotra, Narayan B., Malekpour, Mohammad-Reza, Malik, Ahmad Azam, Mallhi, Tauqeer Hussain, Malta, Deborah Carvalho, Mansouri, Borhan, Mathews, Elezebeth, Maulud, Sazan Qadir, Mechili, Enkeleint A., Nasab, Entezar Mehrabi, Menezes, Ritesh G., Mengistu, Dechasa Adare, Mentis, Alexios-Fotios, Meshkat, Mahboobeh, Mestrovic, Tomislav, Micheletti Gomide Nogueira de Sá, Ana Carolina, Mirrakhimov, Erkin M., Misganaw, Awoke, Mithra, Prasanna, Moghadasi, Javad, Mohammadi, Esmaeil, Mohammadi, Mokhtar, Mohammadshahi, Marita, Mohammed, Shafiu, Mohan, Syam, Moka, Nagabhishek, Monasta, Lorenzo, Moni, Mohammad Ali, Moniruzzaman, Md, Montazeri, Fateme, Moradi, Maryam, Mostafavi, Ebrahim, Mpundu-Kaambwa, Christine, Murillo-Zamora, Efrén, Murray, Christopher J. L., Nair, Tapas Sadasivan, Nangia, Vinay, Swamy, Sreenivas Narasimha, Narayana, Aparna Ichalangod, Natto, Zuhair S., Nayak, Biswa Prakash, Negash, Wogene Wogene, Nena, Evangelia, Kandel, Sandhya Neupane, Niazi, Robina Khan, Nogueira de Sá, Antonio Tolentino, Nowroozi, Ali, Nzoputam, Chimezie Igwegbe, Nzoputam, Ogochukwu Janet, Oancea, Bogdan, Obaidur, Rahman Md, Odukoya, Oluwakemi Ololade, Okati-Aliabad, Hassan, Okekunle, Akinkunmi Paul, Okonji, Osaretin Christabel, Olagunju, Andrew T., Bali, Ahmed Omar, Ostojic, Sergej M., A, Mahesh P., Padron-Monedero, Alicia, Padubidri, Jagadish Rao, Pahlevan Fallahy, Mohammad Taha, Palicz, Tamás, Pana, Adrian, Park, Eun-Kee, Patel, Jay, Paudel, Rajan, Paudel, Uttam, Pedersini, Paolo, Pereira, Marcos, Pereira, Renato B., Petcu, Ionela-Roxana, Pirestani, Majid, Postma, Maarten J., Prashant, Akila, Rabiee, Mohammad, Radfar, Amir, Rafiei, Sima, Rahim, Fakher, Ur Rahman, Mohammad Hifz, Rahman, Mosiur, Rahman, Muhammad Aziz, Rahmani, Amir Masoud, Rahmani, Shayan, Rahmanian, Vahid, Rajput, Prashant, Rana, Juwel, Rao, Chythra R., Rao, Sowmya J., Rashedi, Sina, Rashidi, Mohammad-Mahdi, Ratan, Zubair Ahmed, Rawaf, David Laith, Rawaf, Salman, Rawal, Lal, Rawassizadeh, Reza, Razeghinia, Mohammad Sadegh, Mohamed Redwan, Elrashdy Moustafa, Rezaei, Maryam, Rezaei, Nazila, Rezaei, Nima, Rezaeian, Mohsen, Rodrigues, Mónica, Buendia Rodriguez, Jefferson Antonio, Roever, Leonardo, Rojas-Rueda, David, Rudd, Kristina E., Saad, Aly M. A., Sabour, Siamak, Saddik, Basema, Sadeghi, Erfan, Sadeghi, Masoumeh, Saeed, Umar, Sahebazzamani, Maryam, Sahebkar, Amirhossein, Sahoo, Harihar, Sajid, Mirza Rizwan, Sakhamuri, Sateesh, Salehi, Sana, Samy, Abdallah M., Santric-Milicevic, Milena M., Sao Jose, Bruno Piassi, Sathian, Brijesh, Satpathy, Maheswar, Saya, Ganesh Kumar, Senthilkumaran, Subramanian, Seylani, Allen, Shahabi, Saeed, Shaikh, Masood Ali, Shanawaz, Mohd, Shannawaz, Mohammed, Sheikhi, Rahim Ali, Shekhar, Shashank, Sibhat, Migbar Mekonnen, Simpson, Colin R., Singh, Jasvinder A., Singh, Paramdeep, Singh, Surjit, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Soltani-Zangbar, Mohammad Sadegh, Song, Suhang, Soyiri, Ireneous N., Steiropoulos, Paschalis, Stockfelt, Leo, Sun, Jing, Takahashi, Ken, Talaat, Iman M., Tan, Ker-Kan, Tat, Nathan Y., Tat, Vivian Y., Taye, Birhan Tsegaw, Thangaraju, Pugazhenthan, Thapar, Rekha, Thienemann, Friedrich, Tiyuri, Amir, Ngoc Tran, Mai Thi, Tripathy, Jaya Prasad, Car, Lorainne Tudor, Tusa, Biruk Shalmeno, Ullah, Irfan, Ullah, Sana, Vacante, Marco, Valdez, Pascual R., Valizadeh, Rohollah, van Boven, Job F. M., Vasankari, Tommi Juhani, Vaziri, Siavash, Violante, Francesco S., Vo, Bay, Wang, Ning, Wei, Melissa Y., Westerman, Ronny, Wickramasinghe, Nuwan Darshana, Xu, Suowen, Xu, Xiaoyue, Yadav, Lalit, Yismaw, Yazachew, Yon, Dong Keon, Yonemoto, Naohiro, Yu, Chuanhua, Yu, Yong, Yunusa, Ismaeel, Zahir, Mazyar, Zangiabadian, Moein, Zareshahrabadi, Zahra, Zarrintan, Armin, Zastrozhin, Mikhail Sergeevich, Zegeye, Zelalem Banjaw, Zhang, Yunquan, Naghavi, Mohsen, Larijani, Bagher, Farzadfar, Farshad, Surgery, Erasmus MC other, Public Health, Pulmonary Medicine, GVO PSY, Ophthalmology, Momtazmanesh, Sara, Moghaddam, Sahar Saeedi, Ghamari, Seyyed-Hadi, Rad, Elaheh Malakan, Rezaei, Negar, Shobeiri, Parnian, Aali, Amirali, Abbasi-Kangevari, Mohsen, Abbasi-Kangevari, Zeinab, Abdelmasseh, Michael, Abdoun, Meriem, Abdulah, Deldar Morad, Md Abdullah, Abu Yousuf, Abedi, Aidin, Abolhassani, Hassan, Abrehdari-Tafreshi, Zahra, Achappa, Basavaprabhu, Adane Adane, Denberu Eshetie, Adane, Tigist Demssew, Addo, Isaac Yeboah, Adnan, Mohammad, Sakilah Adnani, Qorinah Estiningtya, Ahmad, Sajjad, Ahmadi, Ali, Ahmadi, Keivan, Ahmed, Ali, Ahmed, Ayman, Rashid, Tarik Ahmed, Al Hamad, Hanadi, Alahdab, Fare, Alemayehu, Astawu, Alif, Sheikh Mohammad, Aljunid, Syed Mohamed, Almustanyir, Sami, Altirkawi, Khalid A., Alvis-Guzman, Nelson, Dehkordi, Javad Aminian, Amir-Behghadami, Mehrdad, Ancuceanu, Robert, Andrei, Catalina Liliana, Andrei, Tudorel, Antony, Catherine M., Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Arulappan, Judie, Ashraf, Tahira, Athari, Seyyed Shamsadin, Attia, Engi F., Ayele, Meshesha Tsegazeab, Azadnajafabad, Sina, Babu, Abraham Samuel, Bagherieh, Sara, Baltatu, Ovidiu Constantin, Banach, Maciej, Bardhan, Mainak, Barone-Adesi, Francesco, Barrow, Amadou, Basu, Saurav, Bayileyegn, Nebiyou Simegnew, Bensenor, Isabela M., Bhardwaj, Nikha, Bhardwaj, Pankaj, Bhat, Ajay Nagesh, Bhattacharyya, Krittika, Bouaoud, Souad, Braithwaite, Dejana, Brauer, Michael, Butt, Muhammad Hammad, Butt, Zahid A., Calina, Daniela, Cámera, Luis Alberto, Chanie, Gashaw Sisay, Charalampous, Perikli, Chattu, Vijay Kumar, Chimed-Ochir, Odgerel, Chu, Dinh-Toi, Cohen, Aaron J., Cruz-Martins, Natália, Dadras, Omid, Darwesh, Aso Mohammad, Das, Saswati, Debela, Sisay Abebe, Delgado-Ortiz, Laura, Dereje, Diriba, Dianatinasab, Mostafa, Diao, Nancy, Diaz, Daniel, Digesa, Lankamo Ena, Dirirsa, Gebisa, Doku, Paul Narh, Dongarwar, Deepa, Douiri, Abdel, Dsouza, Haneil Larson, Eini, Ebrahim, Ekholuenetale, Michael, Ekundayo, Temitope Cyru, Mustafa Elagali, Ahmed Elabba, Elhadi, Muhammed, Enyew, Daniel Berhanie, Erkhembayar, Ryenchindorj, Etaee, Farshid, Fagbamigbe, Adeniyi Franci, Faro, Andre, Fatehizadeh, Ali, Fekadu, Ginenu, Filip, Irina, Fischer, Florian, Foroutan, Masoud, Franklin, Richard Charle, Gaal, Peter Andra, Gaihre, Santosh, Gaipov, Abduzhappar, Gebrehiwot, Mesfin, Gerema, Urge, Getachew, Motuma Erena, Getachew, Tamiru, Ghafourifard, Mansour, Ghanbari, Reza, Ghashghaee, Ahmad, Gholami, Ali, Gil, Artyom Urievich, Golechha, Mahaveer, Goleij, Pouya, Golinelli, Davide, Guadie, Habtamu Alganeh, Gupta, Bhawna, Gupta, Sapna, Gupta, Veer Bala, Gupta, Vivek Kumar, Hadei, Mostafa, Halwani, Rabih, Hanif, Asif, Hargono, Arief, Harorani, Mehdi, Hartono, Risky Kusuma, Hasani, Hamidreza, Hashi, Abdiwahab, Hay, Simon I., Heidari, Mohammad, Hellemons, Merel E., Herteliu, Claudiu, Holla, Ramesh, Horita, Nobuyuki, Hoseini, Mohammad, Hosseinzadeh, Mehdi, Huang, Junjie, Hussain, Salman, Hwang, Bing-Fang, Iavicoli, Ivo, Ibitoye, Segun Emmanuel, Ibrahim, Sufyan, Ilesanmi, Olayinka Stephen, Ilic, Irena M., Ilic, Milena D., Immurana, Mustapha, Ismail, Nahlah Elkudssiah, Merin J, Linda, Jakovljevic, Mihajlo, Jamshidi, Elham, Janodia, Manthan Dilipkumar, Javaheri, Tahereh, Jayapal, Sathish Kumar, Jayaram, Shubha, Jha, Ravi Prakash, Johnson, Olatunji, Joo, Tama, Joseph, Nitin, Jozwiak, Jacek Jerzy, K, Vaishali, Kaambwa, Billingsley, Kabir, Zubair, Kalankesh, Laleh R., Kalhor, Rohollah, Kandel, Himal, Karanth, Shama D., Karaye, Ibraheem M., Kassa, Bekalu Getnet, Kassie, Gizat M., Keikavoosi-Arani, Leila, Keykhaei, Mohammad, Khajuria, Himanshu, Khan, Imteyaz A., Khan, Moien A.B., Khan, Yusra H., Khreis, Haneen, Kim, Min Seo, Kisa, Adnan, Kisa, Sezer, Knibbs, Luke D., Kolkhir, Pavel, Komaki, Somayeh, Kompani, Farzad, Koohestani, Hamid Reza, Koolivand, Ali, Korzh, Oleksii, Koyanagi, Ai, Krishan, Kewal, Krohn, Kris J., Kumar, Naveen, Kumar, Nithin, Kurmi, Om P., Kuttikkattu, Ambily, La Vecchia, Carlo, Lám, Judit, Lan, Qing, Lasrado, Savita, Latief, Kamaluddin, Lauriola, Paolo, Lee, Sang-woong, Lee, Yo Han, Legesse, Samson Mideksa, Lenzi, Jacopo, Li, Ming-Chieh, Lin, Ro-Ting, Liu, Gang, Liu, Wei, Lo, Chun-Han, Lorenzovici, László, Lu, Yifei, Mahalingam, Soundarya, Mahmoudi, Elham, Mahotra, Narayan B., Malekpour, Mohammad-Reza, Malik, Ahmad Azam, Mallhi, Tauqeer Hussain, Malta, Deborah Carvalho, Mansouri, Borhan, Mathews, Elezebeth, Maulud, Sazan Qadir, Mechili, Enkeleint A., Nasab, Entezar Mehrabi, Menezes, Ritesh G., Mengistu, Dechasa Adare, Mentis, Alexios-Fotio, Meshkat, Mahboobeh, Mestrovic, Tomislav, Micheletti Gomide Nogueira de Sá, Ana Carolina, Mirrakhimov, Erkin M., Misganaw, Awoke, Mithra, Prasanna, Moghadasi, Javad, Mohammadi, Esmaeil, Mohammadi, Mokhtar, Mohammadshahi, Marita, Mohammed, Shafiu, Mohan, Syam, Moka, Nagabhishek, Monasta, Lorenzo, Moni, Mohammad Ali, Moniruzzaman, Md, Montazeri, Fateme, Moradi, Maryam, Mostafavi, Ebrahim, Mpundu-Kaambwa, Christine, Murillo-Zamora, Efrén, Murray, Christopher J.L., Nair, Tapas Sadasivan, Nangia, Vinay, Swamy, Sreenivas Narasimha, Narayana, Aparna Ichalangod, Natto, Zuhair S., Nayak, Biswa Prakash, Negash, Wogene Wogene, Nena, Evangelia, Kandel, Sandhya Neupane, Niazi, Robina Khan, Nogueira de Sá, Antonio Tolentino, Nowroozi, Ali, Nzoputam, Chimezie Igwegbe, Nzoputam, Ogochukwu Janet, Oancea, Bogdan, Obaidur, Rahman Md, Odukoya, Oluwakemi Ololade, Okati-Aliabad, Hassan, Okekunle, Akinkunmi Paul, Okonji, Osaretin Christabel, Olagunju, Andrew T., Bali, Ahmed Omar, Ostojic, Sergej M., A, Mahesh P., Padron-Monedero, Alicia, Padubidri, Jagadish Rao, Pahlevan Fallahy, Mohammad Taha, Palicz, Tamá, Pana, Adrian, Park, Eun-Kee, Patel, Jay, Paudel, Rajan, Paudel, Uttam, Pedersini, Paolo, Pereira, Marco, Pereira, Renato B., Petcu, Ionela-Roxana, Pirestani, Majid, Postma, Maarten J., Prashant, Akila, Rabiee, Mohammad, Radfar, Amir, Rafiei, Sima, Rahim, Fakher, Ur Rahman, Mohammad Hifz, Rahman, Mosiur, Rahman, Muhammad Aziz, Rahmani, Amir Masoud, Rahmani, Shayan, Rahmanian, Vahid, Rajput, Prashant, Rana, Juwel, Rao, Chythra R., Rao, Sowmya J., Rashedi, Sina, Rashidi, Mohammad-Mahdi, Ratan, Zubair Ahmed, Rawaf, David Laith, Rawaf, Salman, Rawal, Lal, Rawassizadeh, Reza, Razeghinia, Mohammad Sadegh, Mohamed Redwan, Elrashdy Moustafa, Rezaei, Maryam, Rezaei, Nazila, Rezaei, Nima, Rezaeian, Mohsen, Rodrigues, Mónica, Buendia Rodriguez, Jefferson Antonio, Roever, Leonardo, Rojas-Rueda, David, Rudd, Kristina E., Saad, Aly M.A., Sabour, Siamak, Saddik, Basema, Sadeghi, Erfan, Sadeghi, Masoumeh, Saeed, Umar, Sahebazzamani, Maryam, Sahebkar, Amirhossein, Sahoo, Harihar, Sajid, Mirza Rizwan, Sakhamuri, Sateesh, Salehi, Sana, Samy, Abdallah M., Santric-Milicevic, Milena M., Sao Jose, Bruno Piassi, Sathian, Brijesh, Satpathy, Maheswar, Saya, Ganesh Kumar, Senthilkumaran, Subramanian, Seylani, Allen, Shahabi, Saeed, Shaikh, Masood Ali, Shanawaz, Mohd, Shannawaz, Mohammed, Sheikhi, Rahim Ali, Shekhar, Shashank, Sibhat, Migbar Mekonnen, Simpson, Colin R., Singh, Jasvinder A., Singh, Paramdeep, Singh, Surjit, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Soltani-Zangbar, Mohammad Sadegh, Song, Suhang, Soyiri, Ireneous N., Steiropoulos, Paschali, Stockfelt, Leo, Sun, Jing, Takahashi, Ken, Talaat, Iman M., Tan, Ker-Kan, Tat, Nathan Y., Tat, Vivian Y., Taye, Birhan Tsegaw, Thangaraju, Pugazhenthan, Thapar, Rekha, Thienemann, Friedrich, Tiyuri, Amir, Ngoc Tran, Mai Thi, Tripathy, Jaya Prasad, Car, Lorainne Tudor, Tusa, Biruk Shalmeno, Ullah, Irfan, Ullah, Sana, Vacante, Marco, Valdez, Pascual R., Valizadeh, Rohollah, van Boven, Job F.M., Vasankari, Tommi Juhani, Vaziri, Siavash, Violante, Francesco S., Vo, Bay, Wang, Ning, Wei, Melissa Y., Westerman, Ronny, Wickramasinghe, Nuwan Darshana, Xu, Suowen, Xu, Xiaoyue, Yadav, Lalit, Yismaw, Yazachew, Yon, Dong Keon, Yonemoto, Naohiro, Yu, Chuanhua, Yu, Yong, Yunusa, Ismaeel, Zahir, Mazyar, Zangiabadian, Moein, Zareshahrabadi, Zahra, Zarrintan, Armin, Zastrozhin, Mikhail Sergeevich, Zegeye, Zelalem Banjaw, Zhang, Yunquan, Naghavi, Mohsen, Larijani, Bagher, Farzadfar, Farshad, Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Value, Affordability and Sustainability (VALUE), Microbes in Health and Disease (MHD), and Groningen Research Institute for Asthma and COPD (GRIAC)
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Pulmonary emphysema ,Lung disease ,Morbidity ,Epidemiology ,Chronic obstructive pulmonary disease ,Interstitial lung disease ,General Medicine ,Pneumoconiosi ,Asthma ,SDG 3 - Good Health and Well-being ,Mortality ,Pneumoconiosis - Abstract
Background: Updated data on chronic respiratory diseases (CRDs) are vital in their prevention, control, and treatment in the path to achieving the third UN Sustainable Development Goals (SDGs), a one-third reduction in premature mortality from non-communicable diseases by 2030. We provided global, regional, and national estimates of the burden of CRDs and their attributable risks from 1990 to 2019.Methods: Using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we estimated mortality, years lived with disability, years of life lost, disability-adjusted life years (DALYs), prevalence, and incidence of CRDs, i.e. chronic obstructive pulmonary disease (COPD), asthma, pneumoconiosis, interstitial lung disease and pulmonary sarcoidosis, and other CRDs, from 1990 to 2019 by sex, age, region, and Socio-demographic Index (SDI) in 204 countries and territories. Deaths and DALYs from CRDs attributable to each risk factor were estimated according to relative risks, risk exposure, and the theoretical minimum risk exposure level input. Findings: In 2019, CRDs were the third leading cause of death responsible for 4.0 million deaths (95% uncertainty interval 3.6–4.3) with a prevalence of 454.6 million cases (417.4–499.1) globally. While the total deaths and prevalence of CRDs have increased by 28.5% and 39.8%, the age-standardised rates have dropped by 41.7% and 16.9% from 1990 to 2019, respectively. COPD, with 212.3 million (200.4–225.1) prevalent cases, was the primary cause of deaths from CRDs, accounting for 3.3 million (2.9–3.6) deaths. With 262.4 million (224.1–309.5) prevalent cases, asthma had the highest prevalence among CRDs. The age-standardised rates of all burden measures of COPD, asthma, and pneumoconiosis have reduced globally from 1990 to 2019. Nevertheless, the age-standardised rates of incidence and prevalence of interstitial lung disease and pulmonary sarcoidosis have increased throughout this period. Low- and low-middle SDI countries had the highest age-standardised death and DALYs rates while the high SDI quintile had the highest prevalence rate of CRDs. The highest deaths and DALYs from CRDs were attributed to smoking globally, followed by air pollution and occupational risks. Non-optimal temperature and high body-mass index were additional risk factors for COPD and asthma, respectively.Interpretation: Albeit the age-standardised prevalence, death, and DALYs rates of CRDs have decreased, they still cause a substantial burden and deaths worldwide. The high death and DALYs rates in low and low-middle SDI countries highlights the urgent need for improved preventive, diagnostic, and therapeutic measures. Global strategies for tobacco control, enhancing air quality, reducing occupational hazards, and fostering clean cooking fuels are crucial steps in reducing the burden of CRDs, especially in low- and lower-middle income countries. Funding: Bill & Melinda Gates Foundation.
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- 2023
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9. Evaluation of an individualized facial growth prediction model based on the multivariate partial least squares method
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Moon, Jun-Ho, Kim, Min-Gyu, Hwang, Hye-Won, Cho, Sung Joo, Donatelli, Richard E., and Lee, Shin-Jae
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Male ,Cephalometry ,Face ,Humans ,Female ,Orthodontics ,Original Articles ,Mandible ,Least-Squares Analysis ,Malocclusion, Angle Class II ,Child - Abstract
Objectives To develop a facial growth prediction model incorporating individual skeletal and soft tissue characteristics. Materials and Methods Serial longitudinal lateral cephalograms were collected from 303 children (166 girls and 137 boys), who had never undergone orthodontic treatment. A growth prediction model was devised by applying the multivariate partial least squares (PLS) algorithm, with 161 predictor variables. Response variables comprised 78 lateral cephalogram landmarks. Multiple linear regression analysis was performed to investigate factors influencing growth prediction errors. Results Using the leave-one-out cross-validation method, a PLS model with 30 components was developed. Younger age at prediction resulted in greater prediction error (0.03 mm/y). Further, prediction error increased in proportion to the growth prediction interval (0.24 mm/y). Girls, subjects with Class II malocclusion, growth in the vertical direction, skeletal landmarks, and landmarks on the maxilla were associated with more accurate prediction results than boys, subjects with Class I or III malocclusion, growth in the anteroposterior direction, soft tissue landmarks, and landmarks on the mandible, respectively. Conclusions The prediction error of the prediction model was proportional to the remaining growth potential. PLS growth prediction seems to be a versatile approach that can incorporate large numbers of predictor variables to predict numerous landmarks for an individual subject.
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- 2022
10. Screening of biosynthesized zinc oxide nanoparticles for their effect on Daucus carota pathogen and molecular docking
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Azhar U. Khan, Masudulla Khan, Nazia Malik, Aiman Parveen, Poonam Sharma, Kim Min, Mona Gupta, and Mahboob Alam
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Antifungal Agents ,Histology ,Plant Extracts ,Metal Nanoparticles ,Microbial Sensitivity Tests ,Anti-Bacterial Agents ,Daucus carota ,Molecular Docking Simulation ,Medical Laboratory Technology ,X-Ray Diffraction ,Reducing Agents ,Spectroscopy, Fourier Transform Infrared ,Zinc Oxide ,Anatomy ,Instrumentation - Abstract
Herein, we investigate the phytogenic synthesis of zinc oxide nanoparticles (ZnO-NPs) by using aqueous extract of seed coat of almond as a novel resource which can acts as a stabilizing and reducing agents. Successful biosynthesis of ZnO-NPs was observed by Ultraviolet-visible spectroscopy (UV-vis) showing peak at ~272 nm. The scanning electron microscopy (SEM) and transmission electron microscopy (TEM) techniques confirm the circular shape with an average size of ~20 nm. Applications of ZnO-NPs were observed on carrot (Daucus carota) plant infected with pathogenic fungus Rhizoctonia solani. Spray with 50 ppm and 100 ppm ZnO-NPs caused significant increase in plant growth attributes and photosynthetic pigments of carrot plants. It has been reported that the synthesized ZnO-NPs demonstrated an inhibitory activity against plant pathogenic fungus R. solani and reduces disease in carrot plants. Scanning electron microscopy and confocal microscopy indicated adverse effect of ZnO-NPs on pathogens. Antifungal efficiency of ZnO-NPs was further explained with help of molecular docking analysis. Conformation with highest negative binding energy was used to predict binding site of receptor with NPs to know mechanistic approach. ZnO-NPs are likely to interact with the pathogens by mechanical enfolding which may be one of the major toxicity actions against R. solani by ZnO-NPs. RESEARCH HIGHLIGHTS: ZnO nanoparticles were synthesized using waste material from the coat of almond seeds. Images from SEM, TEM, and related techniques like EDS and SAED revealed the irregularity of the ZnO NPs as well as their atom composition. FTIR and XRD analyses confirmed the formation and the presence of crystalline ZnO NPs in nature. Biogenic ZnONPs were found to be effective against the plant pathogenic fungus R. solani. A spray of 50 ppm and 100 ppm ZnO-NPs significantly increased carrot plant growth characteristics and photosynthetic pigments.
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- 2022
11. Mitochondrial morphology controls fatty acid utilization by changing CPT1 sensitivity to malonyl-CoA
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Ngo, Jennifer, Choi, Dong Wook, Stanley, Illana A, Stiles, Linsey, Molina, Anthony JA, Chen, Pei-Hsuan, Lako, Ana, Sung, Isabelle Chiao Han, Goswami, Rishov, Kim, Min-Young, Miller, Nathanael, Baghdasarian, Siyouneh, Kim-Vasquez, Doyeon, Jones, Anthony E, Roach, Brett, Gutierrez, Vincent, Erion, Karel, Divakaruni, Ajit S, Liesa, Marc, Danial, Nika N, and Shirihai, Orian S
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fusion ,CPT1 ,Carnitine O-Palmitoyltransferase ,Fatty Acids ,Biological Sciences ,Medical and Health Sciences ,mitochondrial dynamics ,Mitochondria ,Malonyl Coenzyme A ,Information and Computing Sciences ,fission ,Oxidation-Reduction ,fatty acid oxidation ,Metabolic and endocrine ,Developmental Biology - Abstract
Changes in mitochondrial morphology are associated with nutrient utilization, but the precise causalities and the underlying mechanisms remain unknown. Here, using cellular models representing a wide variety of mitochondrial shapes, we show a strong linear correlation between mitochondrial fragmentation and increased fatty acid oxidation (FAO) rates. Forced mitochondrial elongation following MFN2 over-expression or DRP1 depletion diminishes FAO, while forced fragmentation upon knockdown or knockout of MFN2 augments FAO as evident from respirometry and metabolic tracing. Remarkably, the genetic induction of fragmentation phenocopies distinct cell type-specific biologicalfunctions of enhanced FAO. These include stimulation of gluconeogenesis in hepatocytes, induction of insulin secretion in islet β-cells exposed to fatty acids,and survival of FAO-dependent lymphoma subtypes. We find that fragmentation increases long-chain but not short-chain FAO,identifying carnitine O-palmitoyltransferase 1 (CPT1) as thedownstream effector of mitochondrial morphology in regulation of FAO.Mechanistically, we determined that fragmentation reduces malonyl-CoA inhibition of CPT1, while elongation increasesCPT1sensitivity to malonyl-CoA inhibition. Overall, these findings underscore a physiologic role for fragmentation as a mechanism whereby cellular fuel preference and FAO capacity are determined.
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- 2023
12. Expanding the Utility of Bioinformatic Data for the Full Stereostructural Assignments of Marinolides A and B, 24- and 26-Membered Macrolactones Produced by a Chemically Exceptional Marine-Derived Bacterium
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Kim, Min Cheol, Winter, Jaclyn M, Cullum, Reiko, Smith, Alexander J, and Fenical, William
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modular type I polyketide synthase ,Biological Products ,Bacteria ,Medicinal & Biomolecular Chemistry ,genome mining ,natural product structure elucidation ,Computational Biology ,Macrolides ,bioinformatics ,Pharmacology and Pharmaceutical Sciences ,Polyketide Synthases ,macrolactone ,Physical Chemistry (incl. Structural) - Abstract
Marinolides A and B, two new 24- and 26-membered bacterial macrolactones, were isolated from the marine-derived actinobacterium AJS-327 and their stereostructures initially assigned by bioinformatic data analysis. Macrolactones typically possess complex stereochemistry, the assignments of which have been one of the most difficult undertakings in natural products chemistry, and in most cases, the use of X-ray diffraction methods and total synthesis have been the major methods of assigning their absolute configurations. More recently, however, it has become apparent that the integration of bioinformatic data is growing in utility to assign absolute configurations. Genome mining and bioinformatic analysis identified the 97 kb mld biosynthetic cluster harboring seven type I polyketide synthases. A detailed bioinformatic investigation of the ketoreductase and enoylreductase domains within the multimodular polyketide synthases, coupled with NMR and X-ray diffraction data, allowed for the absolute configurations of marinolides A and B to be determined. While using bioinformatics to assign the relative and absolute configurations of natural products has high potential, this method must be coupled with full NMR-based analysis to both confirm bioinformatic assignments as well as any additional modifications that occur during biosynthesis.
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- 2023
13. Synthesis, Spectroscopic Characterization, Single-Crystal Structure, Hirshfeld Surface Analysis, and Antimicrobial Studies of 3-Acetoxy-2-methylbenzoic Anhydride
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Şükriye Çakmak, Sevgi Kansiz, Mohammad Azam, Aysel Veyisoglu, Hasan Yakan, and Kim Min
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General Chemical Engineering ,General Chemistry - Abstract
We report a novel anhydride derivative, 3-acetoxy-2-methylbenzoic anhydride (AMA), obtained from the interaction of 3-acetoxy-2-methylbenzoyl chloride with 3-acetoxy-2-methylbenzoic acid. The synthesized compound was characterized by elemental analysis, IR
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- 2022
14. Long-term clinical course and outcomes of patients with microscopic polyangiitis-associated interstitial lung disease
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Kim, Min Jee, Lee, Donghee, Choe, Jooae, and Song, Jin Woo
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Pharmacology ,Pharmacology (medical) - Abstract
Background: Interstitial lung disease (ILD) is a significant complication associated with microscopic polyangiitis (MPA) that has a poor prognosis. However, the long-term clinical course, outcomes, and prognostic factors of MPA-ILD are not well defined. Hence, this study aimed to investigate the long-term clinical course, outcomes, and prognostic factors in patients with MPA-ILD.Methods: Clinical data of 39 patients with MPA-ILD (biopsy proven cases, n = 6) were retrospectively analyzed. High resolution computed tomography (HRCT) patterns were assessed based on the 2018 idiopathic pulmonary fibrosis diagnostic criteria. Acute exacerbation (AE) was defined as the worsening of dyspnea within 30 days, with new bilateral lung infiltration that is not fully explained by heart failure or fluid overload and that does not have identified extra-parenchymal causes (pneumothorax, pleural effusion, or pulmonary embolism).Results: The median follow-up period was 72.0 months (interquartile range: 44–117 months). The mean age of the patients was 62.7 years and 59.0% were male. Usual interstitial pneumonia (UIP) and probable usual interstitial pneumonia patterns on high resolution computed tomography were identified in 61.5 and 17.9% of the patients, respectively. During the follow-up, 51.3% of patients died, and the 5- and 10-year overall survival rates were 73.5% and 42.0%, respectively. Acute exacerbation occurred in 17.9% of the patients. The non-survivors had higher neutrophil counts in bronchoalveolar lavage (BAL) fluid and more frequent acute exacerbation than the survivors. In the multivariable Cox analysis, older age (hazard ratio [HR], 1.07; 95% confidence interval [CI], 1.01–1.14; p = 0.028) and higher BAL counts (HR, 1.09; 95% CI, 1.01–1.17; p = 0.015) were found to be the independent prognostic factors associated with mortality in patients with MPA-ILD.Conclusion: During the 6 years-follow-up, about half of patients with MPA-ILD died and approximately one-fifth experienced acute exacerbation. Our results suggest that older age and higher BAL neutrophil counts mean poor prognosis in patients with MPA-ILD.
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- 2023
15. Narratives of Traumatic Memory and Relocation of Victims in The Lotus and the Storm
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null HOU Jin-rong and null KIM Min Hoe
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- 2023
16. Mitigating the growth of plant pathogenic bacterium, fungi, and nematode by using plant-mediated synthesis of copper oxide nanoparticles (CuO NPs)
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Masudulla Khan, Azmat Ali Khan, Aiman Parveen, Kim Min, Virendra Kumar Yadav, Azhar U. Khan, and Mahboob Alam
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Environmental Chemistry ,General Chemistry - Published
- 2023
17. Additional file 3 of Diagnostic accuracy of a three-protein signature in women with suspicious breast lesions: a multicenter prospective trial
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Lee, Eun-Shin, Kim, Yumi, Shin, Hee-Chul, Hwang, Ki-Tae, Min, Junwon, Kim, Min Kyoon, Ahn, SooKyung, Jung, So-Youn, Shin, Hyukjai, Chung, MinSung, Yoo, Tae-Kyung, Jung, Seungpil, Woo, Sang Uk, Kim, Ju-Yeon, Noh, Dong-Young, and Moon, Hyeong-Gon
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Additional file 3. Additional Table 1 and Additional Table 2.
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- 2023
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18. Additional file 5 of In-hospital glycemic variability and all-cause mortality among patients hospitalized for acute heart failure
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Chun, Kyeong-Hyeon, Oh, Jaewon, Lee, Chan Joo, Park, Jin Joo, Lee, Sang Eun, Kim, Min-Seok, Cho, Hyun-Jai, Choi, Jin-Oh, Lee, Hae-Young, Hwang, Kyung-Kuk, Kim, Kye Hun, Yoo, Byung-Su, Choi, Dong-Ju, Baek, Sang Hong, Jeon, Eun-Seok, Kim, Jae-Joong, Cho, Myeong-Chan, Chae, Shung Chull, Oh, Byung-Hee, and Kang, Seok-Min
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Additional file 5: Fig. S4. Spline curves for the hazard ratio of 1-year all-cause mortality according to glucose variability. Glycemic variability was presented by (A) standard deviation (SD) of serum glucose levels and (B) coefficient of variation (CoV) of serum glucose levels.
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- 2023
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19. sj-docx-1-shm-10.1177_14759217231156359 – Supplemental material for Thermal monitoring of live-line power transmission lines with an infrared camera mounted on an unmanned aerial vehicle
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Jeong, Siheon, Kim, Min-Gwan, Kim, Joo-Hyung, and Oh, Ki-Yong
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FOS: Other engineering and technologies ,99999 Engineering not elsewhere classified - Abstract
Supplemental material, sj-docx-1-shm-10.1177_14759217231156359 for Thermal monitoring of live-line power transmission lines with an infrared camera mounted on an unmanned aerial vehicle by Siheon Jeong, Min-Gwan Kim, Joo-Hyung Kim and Ki-Yong Oh in Structural Health Monitoring
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- 2023
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20. Additional file 2 of In-hospital glycemic variability and all-cause mortality among patients hospitalized for acute heart failure
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Chun, Kyeong-Hyeon, Oh, Jaewon, Lee, Chan Joo, Park, Jin Joo, Lee, Sang Eun, Kim, Min-Seok, Cho, Hyun-Jai, Choi, Jin-Oh, Lee, Hae-Young, Hwang, Kyung-Kuk, Kim, Kye Hun, Yoo, Byung-Su, Choi, Dong-Ju, Baek, Sang Hong, Jeon, Eun-Seok, Kim, Jae-Joong, Cho, Myeong-Chan, Chae, Shung Chull, Oh, Byung-Hee, and Kang, Seok-Min
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Additional file 2: Fig. S1. Scatter plot of the blood glucose level of all subjects (at the time of admission, minimum, maximum values during hospitalization, and at discharge, respectively).
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- 2023
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21. Additional file 1 of Prediction of inappropriate pre-hospital transfer of patients with suspected cardiovascular emergency diseases using machine learning: a retrospective observational study
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Kim, Ji Hoon, Kim, Bomgyeol, Kim, Min Joung, Hyun, Heejung, Kim, Hyeon Chang, and Chang, Hyuk-Jae
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Supplementary Material 1
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- 2023
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22. sj-pdf-1-mrj-10.1177_00222437221130722 - Supplemental material for Discovering Online Shopping Preference Structures in Large and Frequently Changing Store Assortments
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Kim, Min and Zhang, Jie
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FOS: Economics and business ,150402 Hospitality Management - Abstract
Supplemental material, sj-pdf-1-mrj-10.1177_00222437221130722 for Discovering Online Shopping Preference Structures in Large and Frequently Changing Store Assortments by Min Kim and Jie Zhang in Journal of Marketing Research
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- 2023
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23. In silico exploration of promising heterocyclic molecules against both acetylcholinesterase and butyrylcholinesterase enzymes
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Nguyen, Hai Duc and Kim, Min-Sun
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We aimed to further explore the relationship between heterocyclic molecules and their associated biological activities for acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) enzymes. A dataset of 36 heterocycles was used to predict the activity of AChE and BChE inhibitors (the pIC50 values ranged from 7.84 to 12.49). A quantitative structure-activity relationship (QSAR) study was generated with the help of four different models (BMA, MNLR, MLR, and ANN). Four of the models were statistically acceptable based on both internal and external validation. The descriptors used in the models were similar to the X-ray structures of the target-ligand complexes, which made it possible to predict the pIC50 for AChE and BChE enzymes. Five selected molecules (compounds 6 (C21H21F3N4O), compound 7 (C22H23F3N4O), and compound 8 (C22H23F3N4O2) belong to the oxadiazole derivative group; compound 16 (C17H13ClN2O3) is classified into the chemical structures of different N, O, and S-based heterocycle groups; and compound 25 (C19H17NO2) pertains to the pyrimidine derivative group) possessed high pIC50 values for AChE and BChE enzymes (pIC50 values for AChE and BChE ranged from 9.01 to 10.32). The range of docking scores between the AChE and BChE receptors and their respective candidates was from −8.1 to −9.2 kcal/mol. The pharmacokinetics, biological activities, and physicochemical properties of five selected compounds supported their ability to protect against AD because they are not toxic, have a cholinergic effect, can cross the blood-brain barrier, and are well absorbed by the gastrointestinal tract. Communicated by Ramaswamy H. Sarma
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- 2023
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24. Additional file 1 of Composition and variability of core phyllosphere fungal mycobiota on field-grown broccoli
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Kim, Min-Soo and Park, Eun-Jin
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Additional file 1: Fig. S1. The images of the farms, broccoli plants and flower heads are provided (Kim et al., 2018). Fig. S2. (A) The statistics of pairwise comparison among the fungal communities of the farming regions on the basis of Bray-Curtis dissimilarity and Jaccard distance. Statistical significance was evaluated with Bray-Curtis dissimilarity using PERMANOVA (B) Comparison of relative abundance of core and unique ASVs in the farming regions. Statistical significance was evaluated using two-tailed Mann-Whitney U test. (C) The relative abundance of three discriminant ASVs for regional variation were shown. Fig. S3. Community-level associations between Jaccard distance-based db-RDA plots constrained to farming region and six selected agrometeorological factors were performed using Procrustes analysis. The db-RDA plots constrained to farming region were generated by excluding either core ASVs (A) or unique ASVs (B). Fig. S4. (A) Immature and mature fungal communities were compared by using Principal coordinates Analysis based on Jaccard distance. (B) Effect size scores of linear discriminant analysis calculated for differences in fungal ASVs abundance between mature and immature samples (logarithmic LDA score >3.0). Fig. S5. The clustering of fungal communities of field-grown broccoli. (A) The optimal number of clusters were defined based on Calinski-Harabasz index (lower right panel), and fungal communities were clustered into two groups. Two ASVs that had the strongest correlations with the first axis of PCoA were shown (r > 0.5, P < 0.01). (B) The abundant ASVs of cluster 1 (upper panel) and 2 (lower panel) types are shown using a rank abundance plot. Box and whisker plots are shown to min and max. (C) The relative abundances of Purpureocillium and Filobasidium ASVs were correlated with the first axis of unsupervised PCoA plot for Bray-Curtis dissimilarity. Statistical significance was determined by Pearson correlation. Total number of viable fungi (D) and diversity indices (E) of fungal communities of the two clusters were compared. All data are mean ± SD. Statistical significance was determined by two-tailed Mann-Whitney U test. Fig. S6. Total number of viable fungi and bacteria (A), and fungal diversity indices (B) were compared between Filobasidium and Purpureocillium types. All data are mean ± SD. Statistical significance was determined by two-tailed Mann-Whitney U test. (C) The abundance of the Purpureocillium ASV in the communities of four farming regions. Dots colored in red, orange, green, and purple indicate samples originated from the same farm.
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- 2023
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25. Progressively Optimized Local Radiance Fields for Robust View Synthesis
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Meuleman, Andreas, Liu, Yu-Lun, Gao, Chen, Huang, Jia-Bin, Kim, Changil, Kim, Min H., and Kopf, Johannes
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FOS: Computer and information sciences ,Computer Vision and Pattern Recognition (cs.CV) ,Computer Science - Computer Vision and Pattern Recognition - Abstract
We present an algorithm for reconstructing the radiance field of a large-scale scene from a single casually captured video. The task poses two core challenges. First, most existing radiance field reconstruction approaches rely on accurate pre-estimated camera poses from Structure-from-Motion algorithms, which frequently fail on in-the-wild videos. Second, using a single, global radiance field with finite representational capacity does not scale to longer trajectories in an unbounded scene. For handling unknown poses, we jointly estimate the camera poses with radiance field in a progressive manner. We show that progressive optimization significantly improves the robustness of the reconstruction. For handling large unbounded scenes, we dynamically allocate new local radiance fields trained with frames within a temporal window. This further improves robustness (e.g., performs well even under moderate pose drifts) and allows us to scale to large scenes. Our extensive evaluation on the Tanks and Temples dataset and our collected outdoor dataset, Static Hikes, show that our approach compares favorably with the state-of-the-art., Comment: Project page: https://localrf.github.io/
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- 2023
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26. Additional file 5 of Thrombopoietin receptor agonist antibody for treating chemotherapy-induced thrombocytopenia
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Shin, Jiwon, Kim, Min-Jung, Quan, Xingguo, Kim, Ji Woong, Lee, Sukmook, Park, SaeGwang, Jeong, Jee-Yeong, and Yea, Kyungmoo
- Abstract
Additional file 5: Supplementary Fig. 5. MPL signal transduction induced by 2R13 inhuman platelets from donor 2 and donor 3.
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- 2023
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27. Additional file 10 of Thrombopoietin receptor agonist antibody for treating chemotherapy-induced thrombocytopenia
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Shin, Jiwon, Kim, Min-Jung, Quan, Xingguo, Kim, Ji Woong, Lee, Sukmook, Park, SaeGwang, Jeong, Jee-Yeong, and Yea, Kyungmoo
- Abstract
Additional file 10: Supplementary Fig. 10. Uncropped full-length images of westernblotting membranes.
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- 2023
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28. sj-docx-1-shm-10.1177_14759217231157237 – Supplemental material for Long-term monitoring method for tunnel structure transformation using a 3D light detection and ranging equipped in a mobile robot
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Jeong, Siheon, Kim, Min Gwan, Park, Joon-Young, and Oh, Ki-Yong
- Subjects
FOS: Other engineering and technologies ,99999 Engineering not elsewhere classified - Abstract
Supplemental material, sj-docx-1-shm-10.1177_14759217231157237 for Long-term monitoring method for tunnel structure transformation using a 3D light detection and ranging equipped in a mobile robot by Siheon Jeong, Min Gwan Kim, Joon-Young Park and Ki-Yong Oh in Structural Health Monitoring
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- 2023
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29. Additional file 4 of In-hospital glycemic variability and all-cause mortality among patients hospitalized for acute heart failure
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Chun, Kyeong-Hyeon, Oh, Jaewon, Lee, Chan Joo, Park, Jin Joo, Lee, Sang Eun, Kim, Min-Seok, Cho, Hyun-Jai, Choi, Jin-Oh, Lee, Hae-Young, Hwang, Kyung-Kuk, Kim, Kye Hun, Yoo, Byung-Su, Choi, Dong-Ju, Baek, Sang Hong, Jeon, Eun-Seok, Kim, Jae-Joong, Cho, Myeong-Chan, Chae, Shung Chull, Oh, Byung-Hee, and Kang, Seok-Min
- Abstract
Additional file 4: Fig. S3. Scatter plots of the blood glucose level of the subjects (at the time of admission, minimum, maximum values during hospitalization, and at discharge, respectively) according to the use of insulin during hospitalization were presented. The plot on the left is a plot of patients who used insulin, and the plot on the right is a plot of patients who did not use insulin.
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- 2023
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30. Additional file 6 of Thrombopoietin receptor agonist antibody for treating chemotherapy-induced thrombocytopenia
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Shin, Jiwon, Kim, Min-Jung, Quan, Xingguo, Kim, Ji Woong, Lee, Sukmook, Park, SaeGwang, Jeong, Jee-Yeong, and Yea, Kyungmoo
- Abstract
Additional file 6: Supplementary Fig. 6. Flow cytometric analysis of LSK+ cells.
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- 2023
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31. Essays in macroeconomics
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Kim, Min
- Abstract
This dissertation is composed of three chapters that study topics in the fields of international macroeconomics and monetary economics. Chapter 1 examines the role of sterilized asset purchase programs in dealing with sudden stops. It develops a small-open economy DSGE model, shedding light on how and why the policy is able to dampen adverse effects from capital outflows. The policy gives rise to trade-offs between deep recession and slow recovery. The study provides the best policy design in regard to which asset to purchase and how to sterilize. Chapter 2 studies optimal foreign reserve management with and without commitment. It shows that the power of commitment helps address policy trade-offs arising from fear of floating and costs of reserve management. It also provides a sustainable plan that allows the government without commitment to achieve Ramsey outcome in equilibrium. Chapter 3 develops a new estimation method for potential GDP. The method computes the level of counterfactual output corresponding to potential GDP derived from a standard New Keynesian framework. By applying the method to US data, the study provides evidence in favor of the output hysteresis hypothesis. Overall, the dissertation provides important and practical policy implications for central bankers. The findings contribute to the ongoing debate on the monetary policymaking in academia as well as in policy circle.
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- 2023
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32. Additional file 2 of Composition and variability of core phyllosphere fungal mycobiota on field-grown broccoli
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Kim, Min-Soo and Park, Eun-Jin
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Additional file 2: Table S1. The information of sampling locations. Table S2. Sequence processing.
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- 2023
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33. sj-docx-1-shm-10.1177_14759217231157237 – Supplemental material for Long-term monitoring method for tunnel structure transformation using a 3D light detection and ranging equipped in a mobile robot
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Jeong, Siheon, Kim, Min Gwan, Park, Joon-Young, and Oh, Ki-Yong
- Subjects
FOS: Other engineering and technologies ,99999 Engineering not elsewhere classified - Abstract
Supplemental material, sj-docx-1-shm-10.1177_14759217231157237 for Long-term monitoring method for tunnel structure transformation using a 3D light detection and ranging equipped in a mobile robot by Siheon Jeong, Min Gwan Kim, Joon-Young Park and Ki-Yong Oh in Structural Health Monitoring
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- 2023
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34. Additional file 4 of PMCA inhibition reverses drug resistance in clinically refractory cancer patient-derived models
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Park, Ki Cheong, Kim, Jung Min, Kim, Sang Yong, Kim, Seok-Mo, Lim, Jin Hong, Kim, Min Ki, Fang, Sungsoon, Kim, Yonjung, Mills, Gordon B., Noh, Sung Hoon, and Cheong, Jae-Ho
- Abstract
Additional file 4.
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- 2023
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35. A Reachability Tree-Based Algorithm for Robot Task and Motion Planning
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Kim, Kanghyun, Park, Daehyung, and Kim, Min Jun
- Subjects
FOS: Computer and information sciences ,Computer Science - Robotics ,Robotics (cs.RO) - Abstract
This paper presents a novel algorithm for robot task and motion planning (TAMP) problems by utilizing a reachability tree. While tree-based algorithms are known for their speed and simplicity in motion planning (MP), they are not well-suited for TAMP problems that involve both abstracted and geometrical state variables. To address this challenge, we propose a hierarchical sampling strategy, which first generates an abstracted task plan using Monte Carlo tree search (MCTS) and then fills in the details with a geometrically feasible motion trajectory. Moreover, we show that the performance of the proposed method can be significantly enhanced by selecting an appropriate reward for MCTS and by using a pre-generated goal state that is guaranteed to be geometrically feasible. A comparative study using TAMP benchmark problems demonstrates the effectiveness of the proposed approach., Comment: IEEE International Conference on Robotics and Automation (ICRA) 2023
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- 2023
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36. Additional file 1 of In-hospital glycemic variability and all-cause mortality among patients hospitalized for acute heart failure
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Chun, Kyeong-Hyeon, Oh, Jaewon, Lee, Chan Joo, Park, Jin Joo, Lee, Sang Eun, Kim, Min-Seok, Cho, Hyun-Jai, Choi, Jin-Oh, Lee, Hae-Young, Hwang, Kyung-Kuk, Kim, Kye Hun, Yoo, Byung-Su, Choi, Dong-Ju, Baek, Sang Hong, Jeon, Eun-Seok, Kim, Jae-Joong, Cho, Myeong-Chan, Chae, Shung Chull, Oh, Byung-Hee, and Kang, Seok-Min
- Abstract
Additional file 1: Additional Tables.
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- 2023
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37. Additional file 7 of Thrombopoietin receptor agonist antibody for treating chemotherapy-induced thrombocytopenia
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Shin, Jiwon, Kim, Min-Jung, Quan, Xingguo, Kim, Ji Woong, Lee, Sukmook, Park, SaeGwang, Jeong, Jee-Yeong, and Yea, Kyungmoo
- Abstract
Additional file 7: Supplementary Fig. 7. Uncropped full-length images of westernblotting membranes.
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- 2023
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38. Additional file 1 of The impact of obesity on the accuracy of DXA BMD for DXA-equivalent BMD estimation
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Kim, Min-Woo, Lee, Dong-Ha, Huh, Jung-Wook, and Bai, Jang-Whan
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Additional file 1.
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- 2023
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39. Mild magnetic hyperthermia is synergistic with an antibiotic treatment against dual species biofilms consisting of S. aureus and P. aeruginosa by enhancing metabolic activity
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Almutairi, Layla A., Yu, Bing, Dyne, Eric, Ojaym, Alhussain A., and Kim, Min-Ho
- Abstract
The wound biofilm infections that develop tolerance to standard-of-care antimicrobial treatment has been increasing. The objective of this study was to demonstrate a proof-of-concept of mild magnetic nanoparticle (MNP)/alternating magnetic field (AMF) hyperthermia as an anti-biofilm therapy against multispecies biofilm infections. Using both an in vitro cell culture and in vivo murine model of wound infection, we investigated whether MNP/AMF hyperthermia applied at a mild thermal dosage would be synergistically effective against dual species biofilm infection consisting of S. aureus and P. aeruginosa when combined with a broad-spectrum antibiotic, ciprofloxacin (CIP). The combined treatment of MNP/AMF hyperthermia and CIP to the wounds of diabetic mice (db/db mice) significantly reduced the CFU number of S. aureus and P. aeruginosa by 2-log and 3-log, respectively, compared to the untreated control group, whereas either mild MNP/AMF hyperthermia or CIP treatment alone had little effect on the eradication of both bacteria. Our gene microarray data obtained from the culture of S. aureus biofilm suggest that mild MNP/AMF could shift the expression of genes for cellular respiration from anaerobic fermentation to an aerobic glycolytic/tricarboxylic acid cycle (TCA) pathway, implicating that the beneficial effect of mild MNP/AMF hyperthermia on the increased susceptibility of biofilm bacteria to an antibiotic treatment is associated with an increased metabolic activity. Our results support the translational potential of mild MNP/AMF as an adjunctive therapy that can be combined with a broad-spectrum antibiotic treatment for the management of wound biofilm infections associated with multispecies bacteria.
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- 2023
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40. Additional file 1 of Thrombopoietin receptor agonist antibody for treating chemotherapy-induced thrombocytopenia
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Shin, Jiwon, Kim, Min-Jung, Quan, Xingguo, Kim, Ji Woong, Lee, Sukmook, Park, SaeGwang, Jeong, Jee-Yeong, and Yea, Kyungmoo
- Abstract
Additional file 1: Supplementary Fig. 1. Effect of 2R13 on MK differentiation in PB-CD34+cells isolated from donor 2.
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- 2023
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41. Efficacy and Harms of the Perioperative Use of Non-aspirin Traditional Non- Steroidal Anti-Inflammatory Drugs Following Coronary Artery Bypass Surgery: Protocol for a Systematic Review and Meta-analysis
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Sun, Terri, MacDonell, Karen, Ke, Janny, Kim, Min Jung, Wang, Erica, Defen Peng, Jen, Tim Ting Han, Jones, Laura, and Bashir, Jamil
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- 2023
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42. Additional file 3 of PMCA inhibition reverses drug resistance in clinically refractory cancer patient-derived models
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Park, Ki Cheong, Kim, Jung Min, Kim, Sang Yong, Kim, Seok-Mo, Lim, Jin Hong, Kim, Min Ki, Fang, Sungsoon, Kim, Yonjung, Mills, Gordon B., Noh, Sung Hoon, and Cheong, Jae-Ho
- Abstract
Additional file 3: Figure S1. Scheme of pharmacophore candidates. Figure S2. Selected cells survived by induction of PMCA under glucose deprivation induced metabolic stress conditions. Immunoblot analysis for PMCA expression (A and B top), cell viability assay (A and B middle) and intracellular calcium measurements (A and B bottom) after PMCA knockdown in selected cells. A: S-231, B: S-MCF-7. Figure S3. Immunoblot analysis of HNF4α and NFκB nuclear translocation. A: P-231 and S-231, B: P-MCF-7 and S-MCF-7. Figure S4. Representative images of dissected tumors at completion of treatment schedule with selected cells. A: S-231, B: S-MCF-7. Figure S5. Representative images of dissected tumors at completion of treatment schedule with patient-derived cancer cells. A: YUMC-C1, B: YUMC-C2, C: YUMC-P1. Figure S6. Changes in relative tumor volumes at different doses of caloxin and candidate 13. A and B: S-231, C and D: S-MCF-7. The dose of 2DG was fixed. Data are presented as mean ± standard error of mean. *P
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- 2023
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43. sj-pdf-1-mrj-10.1177_00222437221130722 - Supplemental material for Discovering Online Shopping Preference Structures in Large and Frequently Changing Store Assortments
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Kim, Min and Zhang, Jie
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FOS: Economics and business ,150402 Hospitality Management - Abstract
Supplemental material, sj-pdf-1-mrj-10.1177_00222437221130722 for Discovering Online Shopping Preference Structures in Large and Frequently Changing Store Assortments by Min Kim and Jie Zhang in Journal of Marketing Research
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- 2023
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44. Additional file 2 of Diagnostic accuracy of a three-protein signature in women with suspicious breast lesions: a multicenter prospective trial
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Lee, Eun-Shin, Kim, Yumi, Shin, Hee-Chul, Hwang, Ki-Tae, Min, Junwon, Kim, Min Kyoon, Ahn, SooKyung, Jung, So-Youn, Shin, Hyukjai, Chung, MinSung, Yoo, Tae-Kyung, Jung, Seungpil, Woo, Sang Uk, Kim, Ju-Yeon, Noh, Dong-Young, and Moon, Hyeong-Gon
- Abstract
Additional file 2. Additional Methods.
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- 2023
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45. Additional file 3 of Thrombopoietin receptor agonist antibody for treating chemotherapy-induced thrombocytopenia
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Shin, Jiwon, Kim, Min-Jung, Quan, Xingguo, Kim, Ji Woong, Lee, Sukmook, Park, SaeGwang, Jeong, Jee-Yeong, and Yea, Kyungmoo
- Abstract
Additional file 3: Supplementary Fig. 3. Effect of 2R13 on MK polyploidization inPB-CD34+ cells isolated from donor 2.
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- 2023
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46. sj-docx-1-shm-10.1177_14759217231156359 – Supplemental material for Thermal monitoring of live-line power transmission lines with an infrared camera mounted on an unmanned aerial vehicle
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Jeong, Siheon, Kim, Min-Gwan, Kim, Joo-Hyung, and Oh, Ki-Yong
- Subjects
FOS: Other engineering and technologies ,99999 Engineering not elsewhere classified - Abstract
Supplemental material, sj-docx-1-shm-10.1177_14759217231156359 for Thermal monitoring of live-line power transmission lines with an infrared camera mounted on an unmanned aerial vehicle by Siheon Jeong, Min-Gwan Kim, Joo-Hyung Kim and Ki-Yong Oh in Structural Health Monitoring
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- 2023
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47. Additional file 2 of Prediction of inappropriate pre-hospital transfer of patients with suspected cardiovascular emergency diseases using machine learning: a retrospective observational study
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Kim, Ji Hoon, Kim, Bomgyeol, Kim, Min Joung, Hyun, Heejung, Kim, Hyeon Chang, and Chang, Hyuk-Jae
- Abstract
Supplementary Material 2
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- 2023
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48. Additional file 1 of Diagnostic accuracy of a three-protein signature in women with suspicious breast lesions: a multicenter prospective trial
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Lee, Eun-Shin, Kim, Yumi, Shin, Hee-Chul, Hwang, Ki-Tae, Min, Junwon, Kim, Min Kyoon, Ahn, SooKyung, Jung, So-Youn, Shin, Hyukjai, Chung, MinSung, Yoo, Tae-Kyung, Jung, Seungpil, Woo, Sang Uk, Kim, Ju-Yeon, Noh, Dong-Young, and Moon, Hyeong-Gon
- Abstract
Additional file 1. MAST trial protocol.
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- 2023
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49. Combination of PD-1 Checkpoint Blockade and Botulinum Toxin Type A1 Improves Antitumor Responses in Mouse Tumor Models of Melanoma and Colon Carcinoma
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Kwak, Seongsung, Lee, Ji-Young, Kim, Min Ju, Lee, Hyo Jin, Lee, Dong-Kyu, Kang, Jiyeon, Kang, Won-ho, Son, Woo-Chan, and Cruz, Deu John M.
- Abstract
Tumor innervation has been shown to be utilized by some solid cancers to support tumor initiation, growth, progression, and metastasis, as well as confer resistance to immune checkpoint blockade through suppression of antitumor immunologic responses. Since botulinum neurotoxin type A1 (BoNT/A1) blocks neuronal cholinergic signaling, its potential use as an anticancer drug in combination with anti-PD-1 therapy was investigated in four different syngeneic mouse tumor models. Mice implanted with breast (4T1), lung (LLC1), colon (MC38), and melanoma (B16-F10) tumors were administered a single intratumoral injection of 15 U/kg BoNT/A1, repeated intraperitoneal injections of 5 mg/kg anti-PD-1 (RMP1-14), or both. Compared to the single-agent treatments, anti-PD-1 and BoNT/A1 combination treatment elicited significant reduction in tumor growth among B16-F10 and MC38 tumor-bearing mice. The combination treatment also lowered serum exosome levels in these mice compared to the placebo control group. In the B16-F10 syngeneic mouse tumor model, anti-PD-1 + BoNT/A1 combination treatment lowered the proportion of MDSCs, negated the increased proportion of Treg cells, and elicited a higher number of tumor-infiltrating CD4+ and CD8+ T lymphocytes into the tumor microenvironment compared to anti-PD-1 treatment alone. Our findings demonstrate the synergistic antitumor effects of BoNT/A1 and PD-1 checkpoint blockade in mouse tumor models of melanoma and colon carcinoma. These findings provide some evidence on the potential application of BoNT/A1 as an anticancer drug in combination with immune checkpoint blockade and should be further explored.
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- 2023
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50. The complete mitochondrial genome of Rana coreana (Anura: Ranidae)
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Kim, Jungeun, Kim, Jung A., Min, Mi-Sook, Choi, Jae-Pil, Kim, Min Sun, Bhak, Jong, and An, Junghwa
- Abstract
Rana coreana is a brown frog species native to the Korean Peninsula. We characterized the complete mitochondrial genome of the species. The mitochondrial genome sequence of R. coreana is 22,262 bp and comprises 13 protein-coding genes, two ribosomal RNA (rRNA) genes, 22 transfer RNA (tRNA) genes, and two control regions (CRs). The CR duplication and gene organization were identical to those observed in Rana kunyuensis and Rana amurensis. A total of 13 protein-coding genes were used to examine the phylogenetic relationships between this species and the genus Rana. R. coreana living on the Korean Peninsula, formed a cluster with R. kunyuensis and R. amurensis, with R. coreana showing the closest phylogenetic affinity for R. kunyuensis.
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- 2023
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