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Kang C, Yun D, Yoon H, Hong M, Hwang J, Shin HM, Park S, Cheon S, Han D, Moon KC, Kim HY, Choi EY, Lee EY, Kim MH, Jeong CW, Kwak C, Kim DK, Oh KH, Joo KW, Lee DS, Kim YS, Han SS. Glutamyl-prolyl-tRNA synthetase (EPRS1) drives tubulointerstitial nephritis-induced fibrosis by enhancing T cell proliferation and activity. Kidney Int 2024; 105:997-1019. [PMID: 38320721 DOI: 10.1016/j.kint.2024.01.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 12/11/2023] [Accepted: 01/03/2024] [Indexed: 02/27/2024]
Abstract
Toxin- and drug-induced tubulointerstitial nephritis (TIN), characterized by interstitial infiltration of immune cells, frequently necessitates dialysis for patients due to irreversible fibrosis. However, agents modulating interstitial immune cells are lacking. Here, we addressed whether the housekeeping enzyme glutamyl-prolyl-transfer RNA synthetase 1 (EPRS1), responsible for attaching glutamic acid and proline to transfer RNA, modulates immune cell activity during TIN and whether its pharmacological inhibition abrogates fibrotic transformation. The immunological feature following TIN induction by means of an adenine-mixed diet was infiltration of EPRS1high T cells, particularly proliferating T and γδ T cells. The proliferation capacity of both CD4+ and CD8+ T cells, along with interleukin-17 production of γδ T cells, was higher in the kidneys of TIN-induced Eprs1+/+ mice than in the kidneys of TIN-induced Eprs1+/- mice. This discrepancy contributed to the fibrotic amelioration observed in kidneys of Eprs1+/- mice. TIN-induced fibrosis was also reduced in Rag1-/- mice adoptively transferred with Eprs1+/- T cells compared to the Rag1-/- mice transferred with Eprs1+/+ T cells. The use of an EPRS1-targeting small molecule inhibitor (bersiporocin) under clinical trials to evaluate its therapeutic potential against idiopathic pulmonary fibrosis alleviated immunofibrotic aggravation in TIN. EPRS1 expression was also observed in human kidney tissues and blood-derived T cells, and high expression was associated with worse patient outcomes. Thus, EPRS1 may emerge as a therapeutic target in toxin- and drug-induced TIN, modulating the proliferation and activity of infiltrated T cells.
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Affiliation(s)
- Chaelin Kang
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
| | - Donghwan Yun
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea; Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Haein Yoon
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
| | - Minki Hong
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
| | - Juhyeon Hwang
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
| | - Hyun Mu Shin
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
| | - Seokwoo Park
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Seongmin Cheon
- Proteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, Seoul, Korea
| | - Dohyun Han
- Proteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, Seoul, Korea; Transdisciplinary Department of Medicine and Advanced Technology, Seoul National University Hospital, Seoul, Korea
| | - Kyung Chul Moon
- Department of Pathology, Seoul National University College of Medicine, Seoul, Korea
| | - Hye Young Kim
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
| | - Eun Young Choi
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
| | - Eun-Young Lee
- Microbiome Convergence Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Korea
| | - Myung Hee Kim
- Microbiome Convergence Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon, Korea
| | - Chang Wook Jeong
- Department of Urology, Seoul National University College of Medicine, Seoul, Korea
| | - Cheol Kwak
- Department of Urology, Seoul National University College of Medicine, Seoul, Korea
| | - Dong Ki Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Kook-Hwan Oh
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Kwon Wook Joo
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Dong-Sup Lee
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
| | - Yon Su Kim
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea; Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
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Shao RT, Gong EY, Han SS, Chen SM, Yang T, Yang WZ, Wang C. [Proactively embracing the challenges of multimorbidity]. Zhonghua Yi Xue Za Zhi 2024; 104:9-15. [PMID: 38599646 DOI: 10.3760/cma.j.cn12137-20240107-00047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/12/2024]
Abstract
With rapid socio-economic development and the acceleration of population aging, the average life span of human beings has increased significantly. Individuals suffering from the co-existence of multiple diseases (multimorbidity) have become a new normal in public health and posed severe challenge to human health. Multimorbidity significantly reduces the quality of life, increases disability and mortality risks, complicates disease treatment and care and increases burden of the healthcare system with higher costs. This commentary discusses the definition of multimorbidity and common public misconceptions, then assesses its profound impact on overall public health, socio-economic development and healthcare system. We also proposes the potential strategies to meet the challenges posed by multimorbidity. The main aim is to raise awareness of multimorbidity, advocate proactive responses to improve public health and build a healthy society through the development of prevention and treatment systems and promote precision prevention and treatment for multimorbidity.
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Affiliation(s)
- R T Shao
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China State Key Laboratory of Respiratory Health and Multimorbidity, Beijing 100730, China
| | - E Y Gong
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China State Key Laboratory of Respiratory Health and Multimorbidity, Beijing 100730, China
| | - S S Han
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China State Key Laboratory of Respiratory Health and Multimorbidity, Beijing 100730, China Key Laboratory of Pathogen Infection Prevention and Control, Ministry of Education, Peking Union Medical College, Beijing 100730, China
| | - S M Chen
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China Heidelberg Institute of Global Health, Faculty of Medicine and University Hospital, Heidelberg University, Heidelberg 69120, Germany
| | - T Yang
- State Key Laboratory of Respiratory Health and Multimorbidity, Beijing 100730, China Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, Beijing 100029, China
| | - W Z Yang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
| | - C Wang
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China State Key Laboratory of Respiratory Health and Multimorbidity, Beijing 100730, China Key Laboratory of Pathogen Infection Prevention and Control, Ministry of Education, Peking Union Medical College, Beijing 100730, China Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China
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Cho JM, Koh JH, Kim SG, Lee S, Kim Y, Cho S, Kim K, Kim YC, Han SS, Lee H, Lee JP, Joo KW, Lim CS, Kim YS, Kim DK, Park S. Associations of MRI-derived kidney volume, kidney function, body composition and physical performance in ≈38 000 UK Biobank participants: a population-based observational study. Clin Kidney J 2024; 17:sfae068. [PMID: 38660121 PMCID: PMC11040514 DOI: 10.1093/ckj/sfae068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Indexed: 04/26/2024] Open
Abstract
Background Kidney volume is used as a predictive and therapeutic marker for several clinical conditions. However, there is a lack of large-scale studies examining the relationship between kidney volume and various clinicodemographic factors, including kidney function, body composition and physical performance. Methods In this observational study, MRI-derived kidney volume measurements from 38 526 UK Biobank participants were analysed. Major kidney volume-related measures included body surface area (BSA)-adjusted total kidney volume (TKV) and the difference in bilateral kidneys. Multivariable-adjusted linear regression and cubic spline analyses were used to explore the association between kidney volume-related measures and clinicodemographic factors. Cox or logistic regression was used to identify the risks of death, non-kidney cancer, myocardial infarction, ischaemic stroke and chronic kidney disease (CKD). Results The median of BSA-adjusted TKV and the difference in kidney volume were 141.9 ml/m2 [interquartile range (IQR) 128.1-156.9] and 1.08-fold (IQR 1.04-1.15), respectively. Higher BSA-adjusted TKV was significantly associated with higher estimated glomerular filtration rate {eGFR; β = 0.43 [95% confidence interval (CI) 0.42-0.44]; P < .001}, greater muscle volume [β = 0.50 (95% CI 0.48-0.51); P < .001] and greater mean handgrip strength [β = 0.15 (95% CI 0.13-0.16); P < .001] but lower visceral adipose tissue volume [VAT; β = -0.09 (95% CI -0.11 to -0.07); P < .001] in adjusted models. A greater difference in bilateral kidney volumes was associated with lower eGFR, muscle volume and physical performance but with higher proteinuria and VAT. Higher BSA-adjusted TKV was significantly associated with a reduced risk of CKD [odds ratio (OR) 0.7 (95% CI 0.63-0.77); P < .001], while a greater difference in kidney volume was significantly associated with an increased risk of CKD [OR 1.13 (95% CI 1.07-1.20); P < .001]. Conclusion Higher BSA-adjusted TKV and lower differences in bilateral kidney volumes are associated with higher kidney function, muscle volume and physical performance and a reduced risk of CKD.
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Affiliation(s)
- Jeong Min Cho
- Department of Translational Medicine, Seoul National University College of Medicine, Seoul, Korea
- Department of Internal Medicine, Chung-Ang University Gwangmyeong Hospital, Gyeonggi-do, Korea
| | - Jung Hun Koh
- Department of Translational Medicine, Seoul National University College of Medicine, Seoul, Korea
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Seong Geun Kim
- Department of Internal Medicine, Inje University Sanggye Paik Hospital, Seoul, Korea
| | - Soojin Lee
- Department of Internal Medicine, Uijeongbu Eulji University Medical Center, Uijeongbu, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Yaerim Kim
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
| | - Semin Cho
- Department of Internal Medicine, Chung-Ang University Gwangmyeong Hospital, Gyeonggi-do, Korea
| | - Kwangsoo Kim
- Transdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Kidney Research Institute, Seoul National University, Seoul, Korea
| | - Hajeong Lee
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Jung Pyo Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Kidney Research Institute, Seoul National University, Seoul, Korea
- Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Korea
| | - Kwon Wook Joo
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Kidney Research Institute, Seoul National University, Seoul, Korea
| | - Chun Soo Lim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Kidney Research Institute, Seoul National University, Seoul, Korea
- Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Korea
| | - Yon Su Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Kidney Research Institute, Seoul National University, Seoul, Korea
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
| | - Dong Ki Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Kidney Research Institute, Seoul National University, Seoul, Korea
| | - Sehoon Park
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
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Jung S, Lee S, Kim Y, Cho S, Huh H, Kim YC, Han SS, Lee H, Lee JP, Joo KW, Lim CS, Kim YS, Kim DK, Han K, Park S. Risk of mortality and cause of death according to kidney function parameters: a nationwide observational study in Korea. Kidney Res Clin Pract 2024; 43:202-215. [PMID: 38600029 PMCID: PMC11016672 DOI: 10.23876/j.krcp.22.088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 11/18/2022] [Accepted: 11/24/2022] [Indexed: 04/12/2024] Open
Abstract
BACKGROUND Further study is warranted to determine the association between estimated glomerular filtration rate (eGFR) or albuminuria and the risk of death from diverse causes. METHODS We screened >10 million general health screening examinees who received health examinations conducted in 2009 using the claims database of Korea. After the exclusion of those previously diagnosed with renal failure and those with missing data, 9,917,838 individuals with available baseline kidney function measurements were included. The primary outcome was mortality and cause-specific death between 2009 and 2019 identified through death certificates based on the diagnostic codes of International Classification of Diseases, 10th revision. Multivariable Cox regression analysis adjusted for various clinicodemographic and social characteristics was used to assess mortality risk. RESULTS The hazard ratio of death was significantly high in both the eGFR <60 mL/min/1.73 m2 and in the eGFR ≥120 mL/ min/1.73 m2 groups in univariable and multivariable regression analyses when compared to those within the reference range (eGFR of 90-120 mL/min/1.73 m2). The results were similar for death by cardiovascular, cancer, infection, endocrine, respiratory, and digestive causes. We also found that albuminuria was associated with higher risk of death regardless of eGFR range, and those in the higher categories of dipstick albuminuria showed higher risk. CONCLUSION We reconfirmed the significant association between eGFR, albuminuria, and mortality. Healthcare providers should keep in mind that albuminuria and decreased eGFR as well as kidney hyperfiltration are independent predictors of mortality.
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Affiliation(s)
- Sehyun Jung
- Department of Internal Medicine, Gyeongsang National University Hospital, Jinju, Republic of Korea
| | - Soojin Lee
- Department of Internal Medicine, Uijeongbu Eulji University Medical Center, Uijeongbu, Republic of Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yaerim Kim
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Republic of Korea
| | - Semin Cho
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Internal Medicine, Chung-Ang University Gwangmyeong Hospital, Gwangmyeong, Republic of Korea
| | - Hyuk Huh
- Department of Internal Medicine, Inje University Busan Paik Hospital, Busan, Republic of Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
- Kidney Research Institute, Seoul National University, Seoul, Republic of Korea
| | - Hajeong Lee
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Jung Pyo Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Kidney Research Institute, Seoul National University, Seoul, Republic of Korea
- Department of Internal Medicine, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea
| | - Kwon Wook Joo
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
- Kidney Research Institute, Seoul National University, Seoul, Republic of Korea
| | - Chun Soo Lim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Kidney Research Institute, Seoul National University, Seoul, Republic of Korea
- Department of Internal Medicine, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea
| | - Yon Su Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
- Kidney Research Institute, Seoul National University, Seoul, Republic of Korea
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Dong Ki Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
- Kidney Research Institute, Seoul National University, Seoul, Republic of Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - Sehoon Park
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea
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Park YW, Yun D, Yu Y, Kim SH, Park S, Kim YC, Kim DK, Oh KH, Joo KW, Kim YS, Kim SG, Han SS. Intradialytic hypotension and worse outcomes in patients with acute kidney injury requiring intermittent hemodialysis. Kidney Res Clin Pract 2024:j.krcp.23.188. [PMID: 38389146 DOI: 10.23876/j.krcp.23.188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Accepted: 11/09/2023] [Indexed: 02/24/2024] Open
Abstract
Background Intradialytic hypotension (IDH) is a critical complication related to worse outcomes in patients undergoing maintenance hemodialysis. Herein, we addressed the impact of IDH on mortality and other outcomes in patients with severe acute kidney injury (AKI) requiring intermittent hemodialysis. Methods We retrospectively reviewed 1,009 patients who underwent intermittent hemodialysis due to severe AKI. IDH was defined as either dialysis discontinuation due to hemodynamic instability or a decrease in systolic blood pressure (BP) of ≥30 mmHg, with or without a nadir systolic BP of <90 mmHg during the first session. The primary outcome was all-cause mortality, and transfer to the intensive care unit (ICU) due to unstable status was additionally analyzed. Hazard ratios (HRs) of outcomes were calculated using a Cox regression model after adjusting for multiple variables. Risk factors for IDH were evaluated using a logistic regression model. Results IDH occurred in 449 patients (44.5%) during the first hemodialysis session. Patients with IDH had a higher mortality rate than those without IDH (40% vs. 23%; HR, 1.30; 95% confidence interval [CI], 1.02-1.65). The rate of ICU transfer was higher in patients experiencing IDH than in those without IDH (17% vs. 11%; HR, 1.43; 95% CI, 1.02-2.02). Factors such as old age, high BP and pulse rate, active malignancy, cirrhosis, and hypoalbuminemia were associated with an increased risk of IDH episodes. Conclusion The occurrence of IDH is associated with worse outcomes in patients with AKI requiring intermittent hemodialysis. Therefore, careful monitoring and early intervention of IDH may be necessary in this patient subset.
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Affiliation(s)
- Yeong-Won Park
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Donghwan Yun
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yeojin Yu
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Sang Hyun Kim
- Department of Internal Medicine, Inje University Sanggye Paik Hospital, Seoul, Republic of Korea
| | - Sehoon Park
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Dong Ki Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Kook-Hwan Oh
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Kwon Wook Joo
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yon Su Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Seong Geun Kim
- Department of Internal Medicine, Inje University Sanggye Paik Hospital, Seoul, Republic of Korea
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
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Lee J, Song J, Kim SG, Yun D, Kang MW, Kim DK, Oh KH, Joo KW, Kim YS, Han SS, Kim YC. Mortality associated with the neutrophil-lymphocyte ratio in septic acute kidney injury requiring continuous renal replacement therapy. Kidney Res Clin Pract 2024:j.krcp.23.116. [PMID: 38325867 DOI: 10.23876/j.krcp.23.116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 10/24/2023] [Indexed: 02/09/2024] Open
Abstract
Background Sepsis is an important cause of acute kidney injury in intensive care unit patients, accounting for 15% to 20% of renal replacement therapy prescriptions. The neutrophil-lymphocyte ratio (NLR), a maker of systemic inflammation and immune response, was previously associated with the mortality rate in multiple conditions. Herein, we aimed to examine how the NLR relates to the mortality rate in septic acute kidney injury patients requiring continuous renal replacement therapy (CRRT). Methods The NLRs of 6 and 18 were used for dividing NLRs into three groups and, thus, were set higher than those in previous studies accounting for steroid use in sepsis. Cox proportional hazard models were used to calculate hazard ratios of mortality outcomes before and after matching their propensity scores. Results A total of 798 septic acute kidney injury patients requiring CRRT were classified into three NLR groups (low, <6 [n = 277]; medium, ≥6 and <18 [n = 115], and high, ≥18 [n = 406], respectively). The in-hospital mortality rates per group were 83.4%, 74.8%, and 70.4%, respectively (p < 0.001). Per the univariable Cox survival analysis after propensity score matching, a high NLR was related to approximately 24% reduced mortality. The survival benefit of the high NLR group compared with the other two groups remained consistent across all subgroups, showing any p for interactions of >0.05. Conclusion A high NLR is associated with better clinical outcomes, such as low mortality, in septic acute kidney injury patients undergoing CRRT.
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Affiliation(s)
- Jinwoo Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jeongin Song
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Seong Geun Kim
- Department of Internal Medicine, Inje University Sanggye Paik Hospital, Seoul, Republic of Korea
| | - Donghwan Yun
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Min Woo Kang
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Dong Ki Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Kook-Hwan Oh
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Kwon Wook Joo
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yon Su Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
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Cho JM, Koh JH, Kim SG, Lee S, Kim Y, Cho S, Kim K, Kim YC, Han SS, Lee H, Lee JP, Joo KW, Lim CS, Kim YS, Kim DK, Park S. Primary sclerosing cholangitis causally affects kidney function decline: A Mendelian randomization study. J Gastroenterol Hepatol 2024; 39:185-192. [PMID: 37726875 DOI: 10.1111/jgh.16355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 08/17/2023] [Accepted: 09/01/2023] [Indexed: 09/21/2023]
Abstract
BACKGROUND AND AIM The causal linkage between primary sclerosing cholangitis (PSC) and kidney function is unexplored despite their potential for long-term detrimental effects on kidney function. METHODS Two-sample summary-level Mendelian randomization (MR) study was conducted to identify the association between PSC and kidney function. The genetic variants were extracted from the PSC-specific multi-trait analyzed genome-wide association study (GWAS) of European ancestry. Summary-level data for kidney function traits, including estimated glomerular filtration rate (eGFR), annual eGFR decline, and chronic kidney disease (CKD), were obtained from the CKDGen consortium. Multiplicative random-effects inverse-variance weighted (MR-IVW), and a series of pleiotropy-robust analyses were performed to investigate the causal effects and ascertain their robustness. RESULTS Significant causal associations between genetically predicted PSC and kidney function traits were identified. Genetically predicted PSC was associated with decreased log-transformed eGFR (MR-IVW; beta = -0.41%; standard error [SE] = 0.02%; P < 0.001), increased rate of annual eGFR decline (MR-IVW; beta = 2.43%; SE = 0.18%; P < 0.001), and higher risk of CKD (MR-IVW; odds ratio = 1.07; 95% confidence interval = 1.06-1.08; P < 0.001). The main findings were supported by pleiotropy-robust analysis, including MR-Egger with bootstrapped error and weighted median. CONCLUSIONS Our study demonstrates that genetically predicted PSC is causally associated with kidney function impairment. Further studies are warranted to identify the underlying mechanisms.
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Affiliation(s)
- Jeong Min Cho
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Jung Hun Koh
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Seong Geun Kim
- Department of Internal Medicine, Inje University Sanggye Paik Hospital, Seoul, South Korea
| | - Soojin Lee
- Department of Internal Medicine, Uijeongbu Eulji University Medical Center, Seoul, South Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Yaerim Kim
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, South Korea
| | - Semin Cho
- Department of Internal Medicine, Chung-Ang University Gwangmyeong Hospital, Gwangmyeong, South Korea
| | - Kwangsoo Kim
- Transdisciplinary Department of Medicine and Advanced Technology, Seoul National University Hospital, Seoul, South Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
- Kidney Research Institute, Seoul National University, Seoul, South Korea
| | - Hajeong Lee
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Jung Pyo Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
- Kidney Research Institute, Seoul National University, Seoul, South Korea
- Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, South Korea
| | - Kwon Wook Joo
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
- Kidney Research Institute, Seoul National University, Seoul, South Korea
| | - Chun Soo Lim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
- Kidney Research Institute, Seoul National University, Seoul, South Korea
- Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, South Korea
| | - Yon Su Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
- Kidney Research Institute, Seoul National University, Seoul, South Korea
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea
| | - Dong Ki Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
- Kidney Research Institute, Seoul National University, Seoul, South Korea
| | - Sehoon Park
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
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Han A, Min S, Jo EA, Lee H, Kim YC, Han SS, Kang HG, Ahn YH, Oh I, Song EY, Ha J. Association Between Low Anti-spike Antibody Levels After the Third Dose of SARS-CoV-2 Vaccination and Hospitalization due to Symptomatic Breakthrough Infection in Kidney Transplant Recipients. Ann Lab Med 2024; 44:64-73. [PMID: 37665287 PMCID: PMC10485855 DOI: 10.3343/alm.2024.44.1.64] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 05/11/2023] [Accepted: 07/26/2023] [Indexed: 09/05/2023] Open
Abstract
Background Whether anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibody levels post-third coronavirus disease (COVID-19) vaccination correlate with worse outcomes due to breakthrough infection is unclear. We evaluated the association between anti-SARS-CoV-2 antibody levels and symptomatic breakthrough infection or hospitalization during the Omicron surge in kidney transplant recipients. Methods In total, 287 kidney transplant recipients expected to receive a third vaccination were enrolled between November 2021 and February 2022. The Abbott SARS-CoV-2 IgG II Quant test (Abbott, Chicago, IL, USA) was performed within three weeks before and four weeks after the third vaccination. The incidence of symptomatic breakthrough infection and hospitalization from two weeks to four months post-third vaccination was recorded. Results After the third vaccination, the seropositive rate and median antibody titer of the 287 patients increased from 57.1% to 82.2% and from 71.7 (interquartile range [IQR] 7.2-402.8) to 1,612.1 (IQR 153.9-5,489.1) AU/mL, respectively. Sixty-four (22.3%) patients had symptomatic breakthrough infections, of whom 12 required hospitalization. Lower anti-receptor-binding domain (RBD) IgG levels (<400 AU/mL) post-third vaccination were a risk factor for symptomatic breakthrough infection (hazard ratio [HR]=3.46, P<0.001). Anti-RBD IgG levels <200 AU/mL were a critical risk factor for hospitalization (HR=36.4, P=0.007). Conclusions Low anti-spike IgG levels after third vaccination in kidney transplant recipients were associated with symptomatic breakthrough infection and, particularly, with hospitalization during the Omicron surge. These data can be used to identify patients requiring additional protective measures, such as passive immunization using monoclonal antibodies.
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Affiliation(s)
- Ahram Han
- Department of Surgery, Seoul National University College of Medicine, Seoul, Korea
| | - Sangil Min
- Department of Surgery, Seoul National University College of Medicine, Seoul, Korea
| | - Eun-Ah Jo
- Department of Surgery, Seoul National University College of Medicine, Seoul, Korea
| | - Hajeong Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Hee Gyung Kang
- Department of Pediatrics, Seoul National University College of Medicine, Seoul, Korea
| | - Yo Han Ahn
- Department of Pediatrics, Seoul National University College of Medicine, Seoul, Korea
| | - Inseong Oh
- Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Eun Young Song
- Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Jongwon Ha
- Department of Surgery, Seoul National University College of Medicine, Seoul, Korea
- Transplantation Research Institute, Seoul National University College of Medicine, Seoul, Korea
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Cho E, Park JT, Yoo TH, Kim SW, Park CW, Han SS, Kim YH, Kwon YJ. Frequency of Fabry disease in chronic kidney disease patients including patients on renal replacement therapy in Korea. Kidney Res Clin Pract 2024; 43:71-81. [PMID: 38213034 PMCID: PMC10846989 DOI: 10.23876/j.krcp.22.087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 08/03/2022] [Accepted: 08/14/2022] [Indexed: 01/13/2024] Open
Abstract
BACKGROUND Fabry disease (FD) is an X-linked lysosomal storage disorder caused by the deficient activity of α-galactosidase (α-Gal A), affecting multiple organs including kidney. In this study, we aimed to determine the prevalence of FD in patients with chronic kidney disease (CKD) including those on renal replacement therapy in Korea. METHODS This is a national, multicenter, observational study performed between August 24, 2017 and February 28, 2020. Patients with the presence of proteinuria or treated on dialysis were screened by measuring the α-Gal A enzyme activity using either dried blood spot or whole blood, and plasma globotriaosylsphingosine (lyso-GL3) concentration. A GLA gene analysis was performed in patients with low α-Gal A enzyme activity or increased plasma lyso-GL3 concentration. RESULTS Of 897 screened patients, 405 (45.2%) were male and 279 (31.1%) were on dialysis. The α-Gal A enzyme activity was measured in 891 patients (99.3%), and plasma lyso-GL3 concentration was measured in all patients. Ten patients were eligible for a GLA gene analysis: eight with low α-Gal A enzyme activity and two with increased plasma lyso-GL3 concentration. The GLA mutations were analyzed in nine patients and one patient was found with a pathogenic mutation. Therefore, one patient was identified with FD, giving a prevalence of 0.1% (1 of 897) in this CKD population. CONCLUSION Although the prevalence of FD in the CKD population was low (0.1%), screening tests are crucial to detect potential diseases in patients with relatives who can benefit from early treatment.
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Affiliation(s)
- Eunjung Cho
- Division of Nephrology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea
| | - Jung Tak Park
- Division of Nephrology, Department of Internal Medicine, Institute of Kidney Disease, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Tae-Hyun Yoo
- Division of Nephrology, Department of Internal Medicine, Institute of Kidney Disease, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Soo Wan Kim
- Division of Nephrology, Department of Internal Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Cheol Whee Park
- Division of Nephrology, Department of Internal Medicine, The Catholic University of Korea, Seoul St. Mary’s Hospital, Seoul, Republic of Korea
| | - Seung Seok Han
- Division of Nephrology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Yeong Hoon Kim
- Division of Nephrology, Department of Internal Medicine, Inje University Busan Paik Hospital, Busan, Republic of Korea
| | - Young Joo Kwon
- Division of Nephrology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Republic of Korea
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Yun D, Yang HL, Kwon S, Lee SR, Kim K, Kim K, Lee HC, Jung CW, Kim YS, Han SS. Automatic segmentation of atrial fibrillation and flutter in single-lead electrocardiograms by self-supervised learning and Transformer architecture. J Am Med Inform Assoc 2023; 31:79-88. [PMID: 37949101 PMCID: PMC10746317 DOI: 10.1093/jamia/ocad219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 10/20/2023] [Indexed: 11/12/2023] Open
Abstract
OBJECTIVES Automatic detection of atrial fibrillation and flutter (AF/AFL) is a significant concern in preventing stroke and mitigating hemodynamic instability. Herein, we developed a Transformer-based deep learning model for AF/AFL segmentation in single-lead electrocardiograms (ECGs) by self-supervised learning with masked signal modeling (MSM). MATERIALS AND METHODS We retrieved data from 11 open-source databases on PhysioNet; 7 of these databases included labeled ECGs, while the other 4 were without labels. Each database contained ECG recordings with durations of ≥30 s. A total of 24 intradialytic ECGs with paroxysmal AF/AFL during 4 h of hemodialysis sessions at Seoul National University Hospital were used for external validation. The model was pretrained by predicting masked areas of ECG signals and fine-tuned by predicting AF/AFL areas. Cross-database validation was used for evaluation, and the intersection over union (IOU) was used as a main performance metric in external database validation. RESULTS In the 7 labeled databases, the areas marked as AF/AFL constituted 41.1% of the total ECG signals, ranging from 0.19% to 51.31%. In the evaluation per ECG segment, the model achieved IOU values of 0.9254 and 0.9477 for AF/AFL segmentation and other segmentation tasks, respectively. When applied to intradialytic ECGs with paroxysmal AF/AFL, the IOUs for the segmentation of AF/AFL and non-AF/AFL were 0.9896 and 0.9650, respectively. Model performance by different training procedure indicated that pretraining with MSM and the application of an appropriate masking ratio both contributed to the model performance. It also showed higher IOUs of AF/AFL labels than in previous studies when training and test databases were matched. CONCLUSION The present model with self-supervised learning by MSM performs robustly in segmenting AF/AFL.
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Affiliation(s)
- Donghwan Yun
- Division of Nephrology, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hyun-Lim Yang
- Department of Anesthesiology and Pain Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
| | - Soonil Kwon
- Division of Cardiology, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - So-Ryoung Lee
- Division of Cardiology, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Kyungju Kim
- Division of Nephrology, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Kwangsoo Kim
- Transdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Hyung-Chul Lee
- Department of Anesthesiology and Pain Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Chul-Woo Jung
- Department of Anesthesiology and Pain Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yon Su Kim
- Division of Nephrology, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Seung Seok Han
- Division of Nephrology, Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
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Park S, Kim SG, Lee S, Kim Y, Cho S, Kim K, Kim YC, Han SS, Lee H, Lee JP, Joo KW, Lim CS, Kim YS, Kim DK. Causal effects from tobacco smoking initiation on obesity-related traits: a Mendelian randomization study. Int J Obes (Lond) 2023; 47:1232-1238. [PMID: 37634025 DOI: 10.1038/s41366-023-01371-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 08/08/2023] [Accepted: 08/17/2023] [Indexed: 08/28/2023]
Abstract
BACKGROUND There is a widespread notion that tobacco smoking controls weight based on the appetite suppressive effect of nicotine. However, the causal relationship between smoking initiation and obesity-related traits in the general population are unclear. METHODS This Mendelian randomization analysis utilized 378 genetic variants associated with tobacco smoking initiation (usually in adolescence or young adulthood) identified in a genome-wide association study (meta-analysis) of 1.2 million individuals. Outcome data for body mass index, waist circumference, hip circumference, and waist-to-hip ratio were extracted from the 337,138 white British-ancestry UK Biobank participants aged 40-69 years. Replication analyses were performed for genome-wide association study meta-analysis for body mass index, including the GERA/GIANT data including 364,487 samples from mostly European individuals. In addition, summary-level Mendelian randomization by inverse variance weighted method and pleiotropy-robust Mendelian randomization methods, including median-based and MR-Egger regression, was performed. RESULTS Summary-level Mendelian randomization analysis indicated that genetically predicted smoking initiation is causally linked to higher body mass index [+0.28 (0.18-0.38) kg/m2], waist circumference [+0.88 (0.66-1.10) cm], hip circumference [+0.40 (0.23-0.57) cm], and waist-to-hip ratio [+0.006 (0.005-0.007)]. These results were consistent with those of the pleiotropy-robust Mendelian randomization analysis. Additionally, in replication analysis, genetically predicted smoking initiation was significantly associated with a higher body mass index [+0.03 (0.01, 0.05] kg/m2). CONCLUSION Tobacco initiation may lead to worse obesity-related traits in the general 40- to 69-year-old individuals. Therefore, tobacco-use initiation as a long-term weight-control measure should be discouraged.
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Affiliation(s)
- Sehoon Park
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Seong Geun Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Soojin Lee
- Department of Internal Medicine, Uijeongbu Eulji University Medical Center, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Yaerim Kim
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
| | - Semin Cho
- Department of Internal Medicine, Chung-Ang University Gwangmyeong Hospital, Gwangmyeong, Gyeonggi-do, Korea
| | - Kwangsoo Kim
- Transdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Kidney Research Institute, Seoul National University, Seoul, Korea
| | - Hajeong Lee
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Jung Pyo Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Kidney Research Institute, Seoul National University, Seoul, Korea
- Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Korea
| | - Kwon Wook Joo
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Kidney Research Institute, Seoul National University, Seoul, Korea
| | - Chun Soo Lim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Kidney Research Institute, Seoul National University, Seoul, Korea
- Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Korea
| | - Yon Su Kim
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Kidney Research Institute, Seoul National University, Seoul, Korea
| | - Dong Ki Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
- Kidney Research Institute, Seoul National University, Seoul, Korea.
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Lucarelli N, Ginley B, Zee J, Mimar S, Paul AS, Jain S, Han SS, Rodrigues L, Ozrazgat-Baslanti T, Wong ML, Nadkarni G, Clapp WL, Jen KY, Sarder P. Correlating Deep Learning-Based Automated Reference Kidney Histomorphometry with Patient Demographics and Creatinine. Kidney360 2023; 4:1726-1737. [PMID: 37966063 PMCID: PMC10758512 DOI: 10.34067/kid.0000000000000299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 10/26/2023] [Indexed: 11/16/2023]
Abstract
Key Points The authors leverage the unique benefits of panoptic segmentation to perform the largest ever quantitation of reference kidney morphometry. Kidney features vary with age and sex; and glomeruli size may intricately link to creatinine, defying prior notions. Background Reference histomorphometric data of healthy human kidneys are largely lacking because of laborious quantitation requirements. Correlating histomorphometric features with clinical parameters through machine learning approaches can provide valuable information about natural population variance. To this end, we leveraged deep learning (DL), computational image analysis, and feature analysis to associate the relationship of histomorphometry with patient age, sex, serum creatinine (SCr), and eGFR in a multinational set of reference kidney tissue sections. Methods A panoptic segmentation neural network was developed and used to segment viable and sclerotic glomeruli, cortical and medullary interstitia, tubules, and arteries/arterioles in the digitized images of 79 periodic acid–Schiff-stained human nephrectomy sections showing minimal pathologic changes. Simple morphometrics (e.g. , area, radius, density) were quantified from the segmented classes. Regression analysis aided in determining the association of histomorphometric parameters with age, sex, SCr, and eGFR. Results Our DL model achieved high segmentation performance for all test compartments. The size and density of glomeruli, tubules, and arteries/arterioles varied significantly among healthy humans, with potentially large differences between geographically diverse patients. Glomerular size was significantly correlated with SCr and eGFR. Slight, albeit significant, differences in renal vasculature were observed between sexes. Glomerulosclerosis percentage increased, and cortical density of arteries/arterioles decreased, as a function of increasing age. Conclusions Using DL, we automated precise measurements of kidney histomorphometric features. In the reference kidney tissue, several histomorphometric features demonstrated significant correlation to patient demographics, SCr, and eGFR. DL tools can increase the efficiency and rigor of histomorphometric analysis.
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Affiliation(s)
- Nicholas Lucarelli
- J. Crayton Pruitt Family, Department of Biomedical Engineering, University of Florida Herbert Wertheim College of Engineering, Gainesville, Florida
| | - Brandon Ginley
- Departments of Pathology and Anatomical Sciences, University at Buffalo Jacobs School of Medicine and Biomedical Sciences – The State University of New York, Buffalo, New York
| | - Jarcy Zee
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
- Children's Hospital of Philadelphia Research Institute, Philadelphia, Pennsylvania
| | - Sayat Mimar
- Quantitative Health Section, Division of Nephrology, Hypertension, and Renal Transplantation, Department of Medicine, University of Florida, College of Medicine, Gainesville, Florida
| | - Anindya S. Paul
- Quantitative Health Section, Division of Nephrology, Hypertension, and Renal Transplantation, Department of Medicine, University of Florida, College of Medicine, Gainesville, Florida
| | - Sanjay Jain
- Division of Nephrology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri
- Departments of Pediatrics and Pathology, Washington University School of Medicine, St. Louis, Missouri
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Luis Rodrigues
- University Clinic of Nephrology, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Tezcan Ozrazgat-Baslanti
- Quantitative Health Section, Division of Nephrology, Hypertension, and Renal Transplantation, Department of Medicine, University of Florida, College of Medicine, Gainesville, Florida
| | - Michelle L. Wong
- Department of Pathology and Laboratory Medicine, University of California, Davis School of Medicine, Sacramento, California
| | - Girish Nadkarni
- The Mount Sinai Clinical Intelligence Center, Icahn School of Medicine at Mount Sinai, New York, New York
- Division of Nephrology, Icahn School of Medicine at Mount Sinai, New York, New York
| | - William L. Clapp
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida College of Medicine, Gainesville, Florida
| | - Kuang-Yu Jen
- Department of Pathology and Laboratory Medicine, University of California, Davis School of Medicine, Sacramento, California
| | - Pinaki Sarder
- Quantitative Health Section, Division of Nephrology, Hypertension, and Renal Transplantation, Department of Medicine, University of Florida, College of Medicine, Gainesville, Florida
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Heo GY, Jang Y, Choi H, Kim YC, Han SS, Kim HW, Lee J, Huh KH, Kim BS, Yang J. Impact of ABO incompatibility and early antibody-mediated rejection on chronic antibody-mediated rejection in kidney transplant patients. J Nephrol 2023; 36:2571-2580. [PMID: 37106218 DOI: 10.1007/s40620-023-01643-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Accepted: 04/05/2023] [Indexed: 04/29/2023]
Abstract
INTRODUCTION Early antibody-mediated rejection has been reported to increase chronic antibody-mediated rejection and decrease graft survival in kidney transplantation. However, the impact of early antibody-mediated rejection in ABO-incompatible kidney transplantation remains unclear. METHODS We retrospectively analyzed living-donor kidney transplantation patients from two Korean centers. Patients were categorized based on ABO compatibility and early antibody-mediated rejection within 1 year. The primary outcome was chronic antibody-mediated rejection. The secondary outcomes were production of de novo donor-specific antibody and composite kidney outcome, defined as graft loss or a decline in estimated glomerular filtration rate to below 30 mL/min/1.73 m2. RESULTS A total of 1639 patients were analyzed, including 1292 patients who underwent ABO-compatible kidney transplantation and 347 patients who underwent ABO-incompatible kidney transplantation. ABO-incompatible kidney transplantation had a lower risk of de novo donor-specific antibody production (hazard ratio [HR] 0.68, 95% confidence interval [CI] 0.48-0.95) and chronic antibody-mediated rejection (HR 0.33, 95% CI 0.12-0.92) with a comparable risk of the composite kidney outcome (HR 1.06, 95% CI 0.71-1.59) compared to ABO-compatible kidney transplantation. When outcomes of ABO-incompatible kidney transplantation were analyzed according to early antibody-mediated rejection, ABO-incompatible kidney transplantation without antibody-mediated rejection had a lower risk of de novo donor-specific antibody production (HR 0.60, 95% CI 0.41-0.88) and chronic antibody-mediated rejection (HR 0.28, 95% CI 0.09-0.91) than ABO-compatible kidney transplantation without antibody-mediated rejection. However, ABO-incompatible kidney transplantation with antibody-mediated rejection showed a higher risk of de novo donor-specific antibody production and similar risk of chronic antibody-mediated rejection compared to ABO-compatible kidney transplantation without antibody-mediated rejection. CONCLUSIONS ABO-incompatible kidney transplantation showed a lower risk of de novo donor-specific antibody production and chronic antibody-mediated rejection compared to ABO-compatible kidney transplantation; however, early antibody-mediated rejection abrogated these beneficial effects of ABO-incompatible kidney transplantation.
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Affiliation(s)
- Ga Young Heo
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Yunyoung Jang
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hyungwook Choi
- Department of Pathology, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hyung Woo Kim
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Juhan Lee
- Department of Surgery, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Kyu Ha Huh
- Department of Surgery, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Beom Seok Kim
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jaeseok Yang
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
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Moon JJ, Hong SK, Kim YC, Hong SY, choi Y, Yi NJ, Lee KW, Han SS, Lee H, Kim DK, Kim YS, Yang SH, Suh KS. Soluble suppression of tumorigenicity 2 is a potential predictor of post-liver transplant renal outcomes. PLoS One 2023; 18:e0293844. [PMID: 37917773 PMCID: PMC10621951 DOI: 10.1371/journal.pone.0293844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 10/18/2023] [Indexed: 11/04/2023] Open
Abstract
Acute kidney injury is considered an independent prognostic factor for mortality in patients with liver cirrhosis. Non-treated acute kidney injury can progress to hepatorenal syndrome with a poor prognosis. As suppression of tumorigenicity 2 (ST2) is a member of the interleukin-1 receptor family that aggravates inflammation and fibrotic changes in multiple organs, we measured soluble ST2 (sST2) level in the serum and urine of liver-transplant recipients at the time of transplantation. The serum sST2 level significantly increased in liver-transplant recipients with suppressed kidney function compared with that in recipients with normal function. In recipients with severely decreased liver function (model for end-stage liver disease score ≥ 30), the serum sST2 level was higher than that in recipients with preserved liver function (model for end-stage liver disease score ≤ 20, P = 0.028). The serum sST2 level in recipients with hepatorenal syndrome was higher than that in liver-transplant recipients without hepatorenal syndrome (P = 0.003). The serum sST2 level in patients with hepatorenal syndrome was higher than that in recipients without a history of acute kidney injury (P = 0.004). Recipients with hepatorenal syndrome and recovered kidney function showed higher sST2 levels than those who did not recover (P = 0.034). Collectively, an increase in the serum sST2 level reflects a decrease in both kidney and liver functions. Thus, measuring sST2 level at the time of liver transplantation can help predict renal outcomes.
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Affiliation(s)
- Jong Joo Moon
- Seoul National University Biomedical Research Institute, Seoul, Korea
| | - Suk Kyun Hong
- Department of Surgery, Seoul National University College of Medicine, Seoul, Korea
| | - Yong Chul Kim
- Division of Nephrology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Su young Hong
- Department of Surgery, Seoul National University College of Medicine, Seoul, Korea
| | - YoungRok choi
- Department of Surgery, Seoul National University College of Medicine, Seoul, Korea
| | - Nam-Joon Yi
- Department of Surgery, Seoul National University College of Medicine, Seoul, Korea
| | - Kwang-Woong Lee
- Department of Surgery, Seoul National University College of Medicine, Seoul, Korea
| | - Seung Seok Han
- Division of Nephrology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Hajeong Lee
- Division of Nephrology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Dong Ki Kim
- Division of Nephrology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Kidney Research Institute, Seoul National University Medical Research Center, Seoul, Korea
| | - Yon Su Kim
- Division of Nephrology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Kidney Research Institute, Seoul National University Medical Research Center, Seoul, Korea
| | - Seung Hee Yang
- Seoul National University Biomedical Research Institute, Seoul, Korea
- Kidney Research Institute, Seoul National University Medical Research Center, Seoul, Korea
| | - Kyung-Suk Suh
- Department of Surgery, Seoul National University College of Medicine, Seoul, Korea
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Kim JH, Kang M, Kang E, Ryu H, Jeong Y, Kim J, Park SK, Jeong JC, Yoo TH, Kim Y, Kim YC, Han SS, Lee H, Oh KH. Comparison of cardiovascular event predictability between the 2009 and 2021 Chronic Kidney Disease Epidemiology Collaboration equations in a Korean chronic kidney disease cohort: the KoreaN Cohort Study for Outcome in Patients With Chronic Kidney Disease. Kidney Res Clin Pract 2023; 42:700-711. [PMID: 37098679 DOI: 10.23876/j.krcp.22.206] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 11/09/2022] [Indexed: 04/27/2023] Open
Abstract
BACKGROUND The 2009 Chronic Kidney Disease Epidemiology Collaboration creatinine-based estimated glomerular filtration rate (eGFRcr) equation contains a race component that is not based on biology and may cause a bias in results. Therefore, the 2021 eGFRcr and creatinine-cystatin C-based eGFR (eGFRcr-cysC) equations were developed with no consideration of race. This study compared the cardiovascular event (CVE) and all-cause mortality and CVE combined predictability among the three eGFR equations in Korean chronic kidney disease (CKD) patients. METHODS This study included 2,207 patients from the KoreaN Cohort Study for Outcome in Patients With Chronic Kidney Disease. Receiver operating characteristic (ROC) and net reclassification improvement (NRI) index were used to compare the predictability of the study outcomes according to the 2009 eGFRcr, 2021 eGFRcr, and 2021 eGFRcr-cysC equations. RESULTS The overall prevalence of CVE and all-cause mortality were 9% and 7%, respectively. There was no difference in area under the curve of ROC for CVE and mortality and CVE combined among all three equations. Compared to the 2009 eGFRcr, both the 2021 eGFRcr (NRI, 0.013; 95% confidence interval [CI], - 0.002 to 0.028) and the eGFRcr-cysC (NRI, -0.001; 95% CI, -0.031 to 0.029) equations did not show improved CVE predictability. Similar findings were observed for mortality and CVE combined predictability with both the 2021 eGFRcr (NRI, -0.019; 95% CI, -0.039-0.000) and the eGFRcr-cysC (NRI, -0.002; 95% CI, -0.023 to 0.018). CONCLUSION The 2009 eGFRcr equation was not inferior to either the 2021 eGFRcr or eGFRcr-cysC equation in predicting CVE and the composite of mortality and CVE in Korean CKD patients.
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Grants
- 2011E3300300, 2012E3301100, 2013E3301600, 2013E3301601, 2013E3301602, 2016E3300200, 2016E33 00201, 2016E3300202, 2019E320100, 2019E320101, 2019E320102, 2022-11-007 Korea Disease Control and Prevention Agency
- 2017M3A9E4044649 National Research Foundation of Korea
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Affiliation(s)
- Ji Hye Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Minjung Kang
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Eunjeong Kang
- Department of Internal Medicine, Ewha Womans University College of Medicine, Ewha Womans University Seoul Hospital, Seoul, Republic of Korea
| | - Hyunjin Ryu
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Yujin Jeong
- Department of Biostatistics, Korea University College of Medicine, Seoul, Republic of Korea
| | - Jayoun Kim
- Medical Research Collaborating Center, Seoul National University Hospital, Seoul, Republic of Korea
| | - Sue K Park
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jong Cheol Jeong
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Tae-Hyun Yoo
- Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Yaeni Kim
- Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Hajeong Lee
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Kook-Hwan Oh
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
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Yun D, Yang HL, Kim SG, Kim K, Kim DK, Oh KH, Joo KW, Kim YS, Han SS. Real-time dual prediction of intradialytic hypotension and hypertension using an explainable deep learning model. Sci Rep 2023; 13:18054. [PMID: 37872390 PMCID: PMC10593747 DOI: 10.1038/s41598-023-45282-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2023] [Accepted: 10/18/2023] [Indexed: 10/25/2023] Open
Abstract
Both intradialytic hypotension (IDH) and hypertension (IDHTN) are associated with poor outcomes in hemodialysis patients, but a model predicting dual outcomes in real-time has never been developed. Herein, we developed an explainable deep learning model with a sequence-to-sequence-based attention network to predict both of these events simultaneously. We retrieved 302,774 hemodialysis sessions from the electronic health records of 11,110 patients, and these sessions were split into training (70%), validation (10%), and test (20%) datasets through patient randomization. The outcomes were defined when nadir systolic blood pressure (BP) < 90 mmHg (termed IDH-1), a decrease in systolic BP ≥ 20 mmHg and/or a decrease in mean arterial pressure ≥ 10 mmHg (termed IDH-2), or an increase in systolic BP ≥ 10 mmHg (i.e., IDHTN) occurred within 1 h. We developed a temporal fusion transformer (TFT)-based model and compared its performance in the test dataset, including receiver operating characteristic curve (AUROC) and area under the precision-recall curves (AUPRC), with those of other machine learning models, such as recurrent neural network, light gradient boosting machine, random forest, and logistic regression. Among all models, the TFT-based model achieved the highest AUROCs of 0.953 (0.952-0.954), 0.892 (0.891-0.893), and 0.889 (0.888-0.890) in predicting IDH-1, IDH-2, and IDHTN, respectively. The AUPRCs in the TFT-based model for these outcomes were higher than the other models. The factors that contributed the most to the prediction were age and previous session, which were time-invariant variables, as well as systolic BP and elapsed time, which were time-varying variables. The present TFT-based model predicts both IDH and IDHTN in real time and offers explainable variable importance.
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Affiliation(s)
- Donghwan Yun
- Department of Internal Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Korea
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
| | - Hyun-Lim Yang
- Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul, Korea
- Biomedical Research Institute, Seoul National University Hospital, Seoul, Korea
| | - Seong Geun Kim
- Department of Internal Medicine, Inje University College of Medicine, Busan, Korea
| | - Kwangsoo Kim
- Transdisciplinary Department of Medicine and Advanced Technology, Seoul National University Hospital, Seoul, Korea
| | - Dong Ki Kim
- Department of Internal Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Korea
| | - Kook-Hwan Oh
- Department of Internal Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Korea
| | - Kwon Wook Joo
- Department of Internal Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Korea
| | - Yon Su Kim
- Department of Internal Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Korea
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul, 03080, Korea.
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Choi SJ, Kim SH, Lee MS, Park S, Cho E, Han SS, Koh ES, Chung BH, Jeong KH, Bae EH, Lee EY, Kwon YJ. A questionnaire survey on the diagnosis and treatment of Fabry nephropathy in clinical practice. Kidney Res Clin Pract 2023; 42:628-638. [PMID: 37448283 PMCID: PMC10565450 DOI: 10.23876/j.krcp.22.235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 01/27/2023] [Accepted: 02/06/2023] [Indexed: 07/15/2023] Open
Abstract
BACKGROUND Fabry nephropathy is characterized by a deficiency of lysosomal alpha-galactosidase A, which results in proteinuria and kidney disease. The ineffectiveness of enzyme replacement therapy (ERT) for severe kidney failure highlights the need for early detection and meaningful markers. However, because the diagnosis and treatment of Fabry disease can vary according to the expertise of physicians, we evaluated the opinions of Korean specialists. METHODS A questionnaire regarding the management of Fabry nephropathy was emailed to healthcare providers with the experience or ability to treat individuals with Fabry nephropathy. RESULTS Of the 70 experts who responded to the survey, 43 were nephrologists, and 64.3% of the respondents reported having treated patients with Fabry disease. Pediatricians are treating primarily patients with classic types of the disease, while nephrologists and cardiologists are treating more patients with variant types. Only 40.7% of non-nephrologists agreed that a kidney biopsy was required at the time of diagnosis, compared with 81.4% of nephrologists. Thirty-eight of 70 respondents (54.3%) reported measuring globotriaosylsphingosine (lyso-Gb3) as a biomarker. The most common period to measure lyso-Gb3 was at the time of diagnosis, followed by after ERT, before ERT, and at screening. For the stage at which ERT should begin, microalbuminuria and proteinuria were chosen by 51.8% and 28.6% of respondents, respectively. CONCLUSION Nephrologists are more likely to treat variant Fabry disease rather than classic cases, and they agree that ERT should be initiated early in Fabry nephropathy, using lyso-Gb3 as a biomarker.
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Affiliation(s)
- Soo Jeong Choi
- Department of Internal Medicine, Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon, Republic of Korea
| | - Su Hyun Kim
- Department of Internal Medicine, Chung-Ang University Gwangmyeong Hospital, Chung-Ang University College of Medicine, Gwangmyeong, Republic of Korea
| | - Min Sung Lee
- Department of Internal Medicine, Ewha Womans University Medical Center, Seoul, Republic of Korea
| | - Samel Park
- Department of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Republic of Korea
| | - Eunjung Cho
- Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Kore
| | - Eun Sil Koh
- Department of Internal Medicine, Yeouido St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Byung Ha Chung
- Department of Internal Medicine, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
| | - Kyung Hwan Jeong
- Department of Internal Medicine, Kyung Hee University College of Medicine, Seoul, Republic of Korea
| | - Eun Hui Bae
- Department of Internal Medicine, Chonnam National University Medical School, Gwangju, Republic of Korea
| | - Eun Young Lee
- Department of Internal Medicine, Soonchunhyang University Cheonan Hospital, Cheonan, Republic of Korea
| | - Young Joo Kwon
- Department of Internal Medicine, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea
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Lee HK, Jung NH, Lee DE, Lee H, Yang J, Kim YS, Han SS, Han N, Kim IW, Oh JM. Discovery of Biomarkers Related to Interstitial Fibrosis and Tubular Atrophy among Kidney Transplant Recipients by mRNA-Sequencing. J Pers Med 2023; 13:1242. [PMID: 37623492 PMCID: PMC10455123 DOI: 10.3390/jpm13081242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 07/28/2023] [Accepted: 08/08/2023] [Indexed: 08/26/2023] Open
Abstract
Interstitial fibrosis and tubular atrophy (IF/TA) after kidney transplantation causes a chronic deterioration of graft function. IF/TA can be diagnosed by means of a graft biopsy, which is a necessity as non-invasive diagnostic methods are unavailable. In this study, we identified IF/TA-related differentially expressed genes (DEGs) through next-generation sequencing using peripheral blood mononuclear cells. Blood samples from kidney transplant recipients undergoing standard immunosuppressive therapy (tacrolimus/mycophenolate mofetil or mycophenolate sodium/steroid) and diagnosed as IF/TA (n = 41) or normal (controls; n = 41) at their one-year protocol biopsy were recruited between January of 2020 and August of 2020. DEGs were derived through mRNA sequencing and validated by means of a quantitative real-time polymerase chain reaction. We identified 34 DEGs related to IF/TA. ADAMTS2, PLIN5, CLDN9, and KCNJ15 demonstrated a log2(fold change) of >1.5 and an area under the receiver operating characteristic curve (AUC) value of >0.6, with ADAMTS2 showing the largest AUC value and expression levels, which were 3.5-fold higher in the IF/TA group relative to that observed in the control group. We identified and validated DEGs related to IF/TA progression at one-year post-transplantation. Specifically, we identified ADAMTS2 as a potential IF/TA biomarker.
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Affiliation(s)
- Hyun Kyung Lee
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul 08826, Republic of Korea; (H.K.L.)
| | - Na Hyun Jung
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul 08826, Republic of Korea; (H.K.L.)
| | - Da Eun Lee
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul 08826, Republic of Korea; (H.K.L.)
| | - Hajeong Lee
- Division of Nephrology, Department of Internal Medicine, Seoul National University Hospital, Seoul 03080, Republic of Korea (Y.S.K.)
- Internal Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
| | - Jaeseok Yang
- Transplantation Center, Seoul National University Hospital, Seoul 03080, Republic of Korea
- Division of Nephrology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul 03722, Republic of Korea
| | - Yon Su Kim
- Division of Nephrology, Department of Internal Medicine, Seoul National University Hospital, Seoul 03080, Republic of Korea (Y.S.K.)
- Internal Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
| | - Seung Seok Han
- Division of Nephrology, Department of Internal Medicine, Seoul National University Hospital, Seoul 03080, Republic of Korea (Y.S.K.)
- Internal Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
| | - Nayoung Han
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul 08826, Republic of Korea; (H.K.L.)
- College of Pharmacy, Jeju National University, Jeju 63243, Republic of Korea
| | - In-Wha Kim
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul 08826, Republic of Korea; (H.K.L.)
| | - Jung Mi Oh
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul 08826, Republic of Korea; (H.K.L.)
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Kim Y, Lee J, Kang MS, Song J, Kim SG, Cho S, Huh H, Lee S, Park S, Jo HA, Yang SH, Paek JH, Park WY, Han SS, Lee H, Lee JP, Joo KW, Lim CS, Hwang GS, Kim DK. Urinary Metabolite Profile Predicting the Progression of CKD. Kidney360 2023; 4:1048-1057. [PMID: 37291728 PMCID: PMC10476680 DOI: 10.34067/kid.0000000000000158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2023] [Accepted: 05/17/2023] [Indexed: 06/10/2023]
Abstract
Key Points As a biomarker, urinary metabolites could bridge the gap between genetic abnormalities and phenotypes of diseases. We found that levels of betaine, choline, fumarate, citrate, and glucose were significantly correlated with kidney function and could predict kidney outcomes, providing prognostic biomarkers in CKD. Background Because CKD is caused by genetic and environmental factors, biomarker development through metabolomic analysis, which reflects gene-derived downstream effects and host adaptation to the environment, is warranted. Methods We measured the metabolites in urine samples collected from 789 patients at the time of kidney biopsy and from urine samples from 147 healthy participants using nuclear magnetic resonance. The composite outcome was defined as a 30% decline in eGFR, doubling of serum creatinine levels, or end-stage kidney disease. Results Among the 28 candidate metabolites, we identified seven metabolites showing (1 ) good discrimination between healthy controls and patients with stage 1 CKD and (2 ) a consistent change in pattern from controls to patients with advanced-stage CKD. Among the seven metabolites, betaine, choline, glucose, fumarate, and citrate showed significant associations with the composite outcome after adjustment for age, sex, eGFR, the urine protein–creatinine ratio, and diabetes. Furthermore, adding choline, glucose, or fumarate to traditional biomarkers, including eGFR and proteinuria, significantly improved the ability of the net reclassification improvement (P < 0.05) and integrated discrimination improvement (P < 0.05) to predict the composite outcome. Conclusion Urinary metabolites, including betaine, choline, fumarate, citrate, and glucose, were found to be significant predictors of the progression of CKD. As a signature of kidney injury–related metabolites, it would be warranted to monitor to predict the renal outcome.
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Affiliation(s)
- Yaerim Kim
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
| | - Jueun Lee
- Integrated Metabolomics Research Group, Western Seoul center, Korea Basic Science Institute, Seoul, Republic of Korea
| | - Mi Sun Kang
- Integrated Metabolomics Research Group, Western Seoul center, Korea Basic Science Institute, Seoul, Republic of Korea
| | - Jeongin Song
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Seong Geun Kim
- Department of Internal Medicine, Inje University Sanggye Paik Hospital, Seoul, Korea
| | - Semin Cho
- Department of Internal Medicine, Chungang University Gwangmyeong hospital, Gyeonggi-do, Korea
| | - Hyuk Huh
- Department of Internal Medicine, Inje University Busan Paik Hospital, Busan, Korea
| | - Soojin Lee
- Department of Internal Medicine, Uijeongbu Eulji University Medical Center, Gyeonggi-do, Korea
| | - Sehoon Park
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
| | - Hyung Ah Jo
- Department of Internal Medicine, Inje University Ilsan Paik Hospital, Ilsan, Korea
| | - Seung Hee Yang
- Kidney Research Institute, Seoul National University, Seoul, Korea
| | - Jin Hyuk Paek
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
| | - Woo Yeong Park
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Hajeong Lee
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Jung Pyo Lee
- Department of Internal Medicine, SMG-SNU Boramae Medical Center, Seoul, Korea
- Departement of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Kwon Wook Joo
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Departement of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Chun Soo Lim
- Department of Internal Medicine, SMG-SNU Boramae Medical Center, Seoul, Korea
- Departement of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Geum-Sook Hwang
- Integrated Metabolomics Research Group, Western Seoul center, Korea Basic Science Institute, Seoul, Republic of Korea
- College of Pharmacy, Chung-Ang University, Seoul, Republic of Korea
| | - Dong Ki Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Departement of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
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20
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Cho JM, Koh JH, Kim SG, Lee S, Kim Y, Cho S, Kim K, Kim YC, Han SS, Lee H, Lee JP, Joo KW, Lim CS, Kim YS, Kim DK, Park S. Mendelian randomization uncovers a protective effect of interleukin-1 receptor antagonist on kidney function. Commun Biol 2023; 6:722. [PMID: 37452175 PMCID: PMC10349143 DOI: 10.1038/s42003-023-05091-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Accepted: 07/02/2023] [Indexed: 07/18/2023] Open
Abstract
Interleukins (ILs), key cytokine family of inflammatory response, are closely associated with kidney function. However, the causal effect of various ILs on kidney function needs further investigation. Here we show two-sample summary-level Mendelian randomization (MR) analysis that examined the causality between serum IL levels and kidney function. Genetic variants with strong association with serum IL levels were obtained from a previous genome-wide association study meta-analysis. Summary-level data for estimated glomerular filtration rate (eGFR) were obtained from CKDGen database. As a main MR analysis, multiplicative random-effects inverse-variance weighted method was performed. Pleiotropy-robust MR analysis, including MR-Egger with bootstrapped error and weighted median methods, were also implemented. We tested the causal estimates from nine ILs on eGFR traits. Among the results, higher genetically predicted serum IL-1 receptor antagonist level was significantly associated with higher eGFR values in the meta-analysis of CKDGen and the UK Biobank data. In addition, the result was consistent towards eGFR decline phenotype of the outcome database. Otherwise, nonsignificant association was identified between other genetically predicted ILs and eGFR outcome. These findings support the clinical importance of IL-1 receptor antagonist-associated pathway in relation to kidney function in the general individuals, particularly highlighting the importance of IL-1 receptor antagonist.
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Affiliation(s)
- Jeong Min Cho
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Jung Hun Koh
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Seong Geun Kim
- Department of Internal Medicine, Inje University Sanggye Paik Hospital, Seoul, Korea
| | - Soojin Lee
- Department of Internal Medicine, Uijeongbu Eulji University Medical Center, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Yaerim Kim
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
| | - Semin Cho
- Department of Internal Medicine, Chung-Ang University Gwangmyeong Hospital, Gyeonggi-do, Korea
| | - Kwangsoo Kim
- Transdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Kidney Research Institute, Seoul National University, Seoul, Korea
| | - Hajeong Lee
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Jung Pyo Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Kidney Research Institute, Seoul National University, Seoul, Korea
- Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Korea
| | - Kwon Wook Joo
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Kidney Research Institute, Seoul National University, Seoul, Korea
| | - Chun Soo Lim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Kidney Research Institute, Seoul National University, Seoul, Korea
- Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Korea
| | - Yon Su Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Kidney Research Institute, Seoul National University, Seoul, Korea
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
| | - Dong Ki Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- Kidney Research Institute, Seoul National University, Seoul, Korea
| | - Sehoon Park
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.
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Park S, Kim SG, Lee S, Kim Y, Cho S, Kim K, Kim YC, Han SS, Lee H, Lee JP, Joo KW, Lim CS, Kim YS, Kim DK. Genetic variations in HMGCR and PCSK9 and kidney function: a Mendelian randomization study. Kidney Res Clin Pract 2023; 42:460-472. [PMID: 37448291 PMCID: PMC10407636 DOI: 10.23876/j.krcp.22.237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 01/27/2023] [Accepted: 02/08/2023] [Indexed: 07/15/2023] Open
Abstract
BACKGROUND The genetically predicted lipid-lowering effect of HMGCR or PCSK9 variant can be used to assess drug proxy effects on kidney function. METHODS Mendelian randomization (MR) analysis-identified HMGCR and PCSK9 genetic variants were used to predict the low-density lipoprotein (LDL) cholesterol-lowering effects of medications targeting related molecules. Primary summary-level outcome data for log-estimated glomerular filtration rate (eGFR; creatinine) were provided by the CKDGen Consortium (n = 1,004,040 European) from a meta-analysis of CKDGen and UK Biobank data. We also conducted a separate investigation of summary-level data from CKDGen (n = 567,460, log-eGFR [creatinine]) and UK Biobank (n = 436,581, log-eGFR [cystatin C]) samples. Summary-level MRs using an inverse variance weighted method and pleiotropy-robust methods were performed. RESULTS Summary-level MR analysis indicated that the LDL-lowering effect predicted genetically by HMGCR variants (50-mg/dL decrease) was significantly associated with a decrease in eGFR (-1.67%; 95% confidence interval [CI], -2.20% to -1.13%). Similar significance was found in results from the pleiotropy-robust MR methods when the CKDGen and UK Biobank data were analyzed separately. However, the LDL-lowering effect predicted genetically by PCSK9 variants was significantly associated with an increase in eGFR (+1.17%; 95% CI, 0.10%-2.25%). The results were similarly supported by the weighted median method and in each CKDGen and UK Biobank dataset, but the significance obtained by MR-Egger regression was attenuated. CONCLUSION Genetically predicted HMG-CoA reductase inhibition was associated with low eGFR, while genetically predicted PCSK9 inhibition was associated with high eGFR. Clinicians should consider that the direct effect of different types of lipid-lowering medication on kidney function can vary.
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Affiliation(s)
- Sehoon Park
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Seong Geun Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Soojin Lee
- Department of Internal Medicine, Uijeongbu Eulji University Medical Center, Uijeongbu, Republic of Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yaerim Kim
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Republic of Korea
| | - Semin Cho
- Department of Internal Medicine, Chung-Ang University Gwangmyeong Hospital, Gwangmyeong, Republic of Korea
| | - Kwangsoo Kim
- Transdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
- Kidney Research Institute, Seoul National University, Seoul, Republic of Korea
| | - Hajeong Lee
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Jung Pyo Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Kidney Research Institute, Seoul National University, Seoul, Republic of Korea
- Department of Internal Medicine, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea
| | - Kwon Wook Joo
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Kidney Research Institute, Seoul National University, Seoul, Republic of Korea
| | - Chun Soo Lim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Kidney Research Institute, Seoul National University, Seoul, Republic of Korea
- Department of Internal Medicine, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea
| | - Yon Su Kim
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Kidney Research Institute, Seoul National University, Seoul, Republic of Korea
| | - Dong Ki Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Kidney Research Institute, Seoul National University, Seoul, Republic of Korea
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Xue KK, Chen JL, Wei YR, Chen Y, Han SS, Wang CH, Zhang Y, Song XQ, Cheng JL. [Abnormal changes of static and dynamic functional connectivity of dopaminergic midbrain in patients with first-episode schizophrenia and their correlations with clinical symptoms]. Zhonghua Yi Xue Za Zhi 2023; 103:1623-1630. [PMID: 37248062 DOI: 10.3760/cma.j.cn112137-20221118-02428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
Objective: To investigate the abnormal changes of static functional connectivity (sFC) and dynamic functional connectivity (dFC) in the dopaminergic midbrain (ventral dorsal tegmental area and bilateral substantia nigra compacta, VTA/SNc) in patients with first-episode schizophrenia(SCH), and their correlation with the Positive and Negative Symptom Scale (PANSS). Methods: The data of 198 first-episode untreated schizophrenia patients and 199 healthy controls (HC) matched by age, sex and years of education who were admitted to the First Affiliated Hospital of Zhengzhou University from January 2019 to May 2022 were prospectively collected. All subjects underwent high resolution structural MRI and resting state functional magnetic resonance imaging (rs-fMRI) scanning. The dopaminergic midbrain (VTA/SNc) was defined as three regions of interest (ROI). The sFC and dFC analyses with VTA/SNc as seeds were performed to produce a whole-brain diagram initially, which subsequently were compared between schizophrenia group and HC group. Finally, the correlation analysis of sFC and dFC values with the PANSS scores were performed, including the positive scale score, negative scale score, general psychopathology scale score, total score and symptom scores. Results: There were 86 males and 112 females in SCH group, and aged (23±9) years. Meanwhile, there were 95 males and 104 females in HC group, and aged (22±5) years. In the SCH group, the positive (P), the negative (N) and the general psychopathology (G) scale scores and the total score (T) of the PANSS scale was 20±7, 21±7, 41±11 and 82±22, respectively. Compared with the HC group, the VTA showed decreased sFC with four clusters including cerebellar vermis 7/9, left putamen, right thalamus and left middle cingulate gyrus in the schizophrenia group (peak center, t=-4.35, -4.81, -4.35 and -4.65; voxel P<0.005; cluster P<0.05), the right SNc showed decreased sFC with four clusters including left cerebellar hemisphere 4/5/8, right putamen, right medial orbitofrontal gyrus and the left putamen in the schizophrenia group (peak center, t=-4.91, -5.15, -4.77 and -5.21; voxel P<0.005; cluster P<0.05), and the left SNc showed decreased sFC with four clusters including the left putamen, right putamen, right medial orbitofrontal gyrus and left middle cingulate gyrus in the schizophrenia group (peak center, t=-5.82, -4.83 and -4.65; voxel P<0.005; cluster P<0.05). Compared with the HC group, the VTA showed decreased dFC with the right inferior parietal gyrus, right angular gyrus and right superior parietal gyrus in schizophrenia group (t=-4.17). In the schizophrenia group, the sFC value of cluster 2 (left putamen) with VTA as seed and cluster 4 (left putamen) with right SNc as seed were positively correlated with the positive scale scores in PANSS (r=0.141, 0.169, both P<0.05). The sFC and dFC values of significant regions were also correlated with hallucination, delusion, suspicion, hostility, communication disorder, passivity/indifference, lack of communication, stereotyped thinking, depression, non-cooperation, lack of judgment and insight, impulse control disorder, active social avoidance (all P<0.05). Conclusion: The static and dynamic functional connectivity (stability) of VTA/SNc to cerebellum, thalamus, striatum, prefrontal lobe and cingulate gyrus in first-episode schizophrenia patients were decreased, which were closely related to the positive and negative symptoms of schizophrenia.
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Affiliation(s)
- K K Xue
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - J L Chen
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Y R Wei
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Y Chen
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - S S Han
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - C H Wang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Y Zhang
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - X Q Song
- Department of Psychiatry, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - J L Cheng
- Department of Magnetic Resonance Imaging, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
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Jung J, Lee J, Lim JH, Kim YC, Ban TH, Park WY, Kim KM, Kim K, Lee SW, Shin SJ, Han SS, Kim DK, Ko Y, Kim KW, Kim H, Park JY. The effects of muscle mass and quality on mortality of patients with acute kidney injury requiring continuous renal replacement therapy. Sci Rep 2023; 13:7311. [PMID: 37147326 PMCID: PMC10162987 DOI: 10.1038/s41598-023-33716-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Accepted: 04/18/2023] [Indexed: 05/07/2023] Open
Abstract
This study examined the effects of muscle mass on mortality in patients with acute kidney injury requiring continuous renal replacement therapy. It was conducted in eight medical centers between 2006 and 2021. The data of 2200 patients over the age of 18 years with acute kidney injury who required continuous renal replacement therapy were retrospectively collected. Skeletal muscle areas, categorized into normal and low attenuation muscle areas, were obtained from computed tomography images at the level of the third lumbar vertebra. Cox proportional hazards models were used to investigate the association between mortality within 1, 3, and 30 days and skeletal muscle index. Sixty percent of patients were male, and the 30-day mortality rate was 52%. Increased skeletal muscle areas/body mass index was associated with decreased mortality risk. We also identified a 26% decreased risk of low attenuation muscle area/body mass index on mortality. We established that muscle mass had protective effects on the mortality of patients with acute kidney injury requiring continuous renal replacement therapy. This study showed that muscle mass is a significant determinant of mortality, even if the density is low.
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Affiliation(s)
- Jiyun Jung
- Clinical Trial Center, Dongguk University Ilsan Hospital, Goyang, South Korea
- Research Center for Chronic Disease and Environmental Medicine, Dongguk University College of Medicine, Gyeongju, South Korea
| | - Jangwook Lee
- Research Center for Chronic Disease and Environmental Medicine, Dongguk University College of Medicine, Gyeongju, South Korea
- Department of Internal Medicine, Dongguk University Ilsan Hospital, Goyang, South Korea
| | - Jeong-Hoon Lim
- Department of Internal Medicine, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Tae Hyun Ban
- Department of Internal Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, South Korea
| | - Woo Yeong Park
- Department of Internal Medicine, Keimyung University Dongsan Hospital, Keimyung University School of Medicine, Daegu, South Korea
| | - Kyeong Min Kim
- Department of Internal Medicine, Daejeon Eulji Medical Center, Eulji University, Daejeon, South Korea
| | - Kipyo Kim
- Department of Internal Medicine, Inha University Hospital, Inha University College of Medicine, Incheon, South Korea
| | - Sung Woo Lee
- Department of Internal Medicine, Uijeongbu Eulji Medical Center, Eulji University, Gyeonggi-Do, South Korea
| | - Sung Joon Shin
- Research Center for Chronic Disease and Environmental Medicine, Dongguk University College of Medicine, Gyeongju, South Korea
- Department of Internal Medicine, Dongguk University Ilsan Hospital, Goyang, South Korea
- Department of Internal Medicine, Dongguk University College of Medicine, Gyeongju, South Korea
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Dong Ki Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Yousun Ko
- Biomedical Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, South Korea
| | - Kyung Won Kim
- Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea
| | - Hyosang Kim
- Division of Nephrology, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
| | - Jae Yoon Park
- Research Center for Chronic Disease and Environmental Medicine, Dongguk University College of Medicine, Gyeongju, South Korea.
- Department of Internal Medicine, Dongguk University Ilsan Hospital, Goyang, South Korea.
- Department of Internal Medicine, Dongguk University College of Medicine, Gyeongju, South Korea.
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Lucarelli N, Yun D, Han D, Ginley B, Moon KC, Rosenberg AZ, Tomaszewski JE, Zee J, Jen KY, Han SS, Sarder P. Discovery of Novel Digital Biomarkers for Type 2 Diabetic Nephropathy Classification via Integration of Urinary Proteomics and Pathology. medRxiv 2023:2023.04.28.23289272. [PMID: 37205413 PMCID: PMC10187347 DOI: 10.1101/2023.04.28.23289272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
Background The heterogeneous phenotype of diabetic nephropathy (DN) from type 2 diabetes complicates appropriate treatment approaches and outcome prediction. Kidney histology helps diagnose DN and predict its outcomes, and an artificial intelligence (AI)-based approach will maximize clinical utility of histopathological evaluation. Herein, we addressed whether AI-based integration of urine proteomics and image features improves DN classification and its outcome prediction, altogether augmenting and advancing pathology practice. Methods We studied whole slide images (WSIs) of periodic acid-Schiff-stained kidney biopsies from 56 DN patients with associated urinary proteomics data. We identified urinary proteins differentially expressed in patients who developed end-stage kidney disease (ESKD) within two years of biopsy. Extending our previously published human-AI-loop pipeline, six renal sub-compartments were computationally segmented from each WSI. Hand-engineered image features for glomeruli and tubules, and urinary protein measurements, were used as inputs to deep-learning frameworks to predict ESKD outcome. Differential expression was correlated with digital image features using the Spearman rank sum coefficient. Results A total of 45 urinary proteins were differentially detected in progressors, which was most predictive of ESKD (AUC=0.95), while tubular and glomerular features were less predictive (AUC=0.71 and AUC=0.63, respectively). Accordingly, a correlation map between canonical cell-type proteins, such as epidermal growth factor and secreted phosphoprotein 1, and AI-based image features was obtained, which supports previous pathobiological results. Conclusions Computational method-based integration of urinary and image biomarkers may improve the pathophysiological understanding of DN progression as well as carry clinical implications in histopathological evaluation.
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Affiliation(s)
- Nicholas Lucarelli
- J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA
| | - Donghwan Yun
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Dohyun Han
- Proteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
| | - Brandon Ginley
- The Janssen Pharmaceutical Companies of Johnson & Johnson, Raritan NJ, USA
| | - Kyung Chul Moon
- Department of Pathology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Avi Z. Rosenberg
- Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - John E. Tomaszewski
- Department of Pathology and Anatomical Sciences, University at Buffalo – The State University of New York
| | - Jarcy Zee
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania and Children’s Hospital of Philadelphia, PA, USA
| | - Kuang-Yu Jen
- Department of Pathology and Laboratory Medicine, University of California, Davis Medical Center, CA, USA
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Pinaki Sarder
- Department of Medicine-Quantitative Health, University of Florida College of Medicine, Gainesville, FL, USA
- Department of Electrical and Computer Engineering, University of Florida College of Engineering, Gainesville, FL, USA
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Kim SM, Jeong Y, Kim YL, Kang M, Kang E, Ryu H, Kim Y, Han SS, Ahn C, Oh KH. Association of Chronic Kidney Disease With Atrial Fibrillation in the General Adult Population: A Nationwide Population-Based Study. J Am Heart Assoc 2023; 12:e028496. [PMID: 37066806 DOI: 10.1161/jaha.122.028496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/18/2023]
Abstract
Background The incidences of atrial fibrillation (AF) and chronic kidney disease (CKD) are increasing, and AF is prevalent in patients with CKD. However, few studies have investigated the incidence or association of AF in a large CKD population from a longitudinal study. Methods and Results From a nationwide cohort, a total of 4 827 987 Korean individuals without prior AF, who received biennial health checkups provided by the National Health Insurance Service between 2009 and 2012 in Korea, were analyzed. Incidence of AF was ascertained through the end of 2018. During a median follow-up of 8.1 years, the annual incidence rate of AF was 1.17 per 1000 person-years among subjects without CKD, 1.55 for stage 1 CKD, 1.86 for stage 2 CKD, 2.1 for stage 3 CKD, and 4.33 for stage 4 CKD. In Fine-Gray regression models, CKD was associated with an increased risk of AF; the adjusted hazard ratios and 95% CIs of AF occurrence were 1.77 (1.69-1.85), 1.85 (1.80-1.91), 1.99 (1.95-2.04), and 4.04 (3.07-5.33) in individuals with CKD stages 1, 2, 3, and 4, respectively, compared with non-CKD. The association between CKD and incident AF remained statistically significant after adjustment for multiple confounding factors and was consistent across subgroups stratified by sex and age. Conclusions CKD is associated with an increased incidence of AF. Even mild CKD is associated with incident AF, and there was a stepwise increase in the risk of incident AF with a decrease in renal function.
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Affiliation(s)
- Seon-Mi Kim
- Department of Internal Medicine Seoul National University Hospital Seoul Republic of Korea
| | - Yujin Jeong
- Department of Biostatistics Korea University College of Medicine Seoul Republic of Korea
| | - Yae Lim Kim
- Department of Biostatistics Korea University College of Medicine Seoul Republic of Korea
| | - Minjung Kang
- Department of Internal Medicine Seoul National University Hospital Seoul Republic of Korea
| | - Eunjeong Kang
- Department of Internal Medicine Ewha Womans University College of Medicine, Ewha Womans University Seoul Hospital Seoul Republic of Korea
| | - Hyunjin Ryu
- Department of Internal Medicine Seoul National University Hospital Seoul Republic of Korea
| | - Yunmi Kim
- Department of Internal Medicine Inje University Busan Paik Hospital Busan Republic of Korea
| | - Seung Seok Han
- Department of Internal Medicine Seoul National University Hospital Seoul Republic of Korea
| | - Curie Ahn
- Department of Internal Medicine, National Medical Center Seoul Republic of Korea
| | - Kook-Hwan Oh
- Department of Internal Medicine Seoul National University Hospital Seoul Republic of Korea
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Ko HL, Jung J, Lee J, Lim JH, Im DW, Kim YC, Paek JH, Park WY, Kim KM, Lee S, Lee SW, Shin SJ, Kim DK, Han SS, Baek CH, Kim H, Park JY, Ban TH, Kim K. Dynamic nature and prognostic value of the neutrophil-to-lymphocyte ratio in critically ill patients with acute kidney injury on continuous renal replacement therapy: A multicenter cohort study. Front Med (Lausanne) 2023; 10:1162381. [PMID: 37056733 PMCID: PMC10086237 DOI: 10.3389/fmed.2023.1162381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 03/14/2023] [Indexed: 03/30/2023] Open
Abstract
IntroductionPatients with acute kidney injury (AKI) receiving renal replacement therapy constitute the subgroup of AKI with the highest risk of mortality. Despite recent promising findings on the neutrophil-to-lymphocyte ratio (NLR) in AKI, studies have not yet addressed the clinical implication of the NLR in this population. Therefore, we aimed to examine the prognostic value of NLR in critically ill patients requiring continuous renal replacement therapy (CRRT), especially focusing on temporal changes in NLR.MethodsWe enrolled 1,494 patients with AKI who received CRRT in five university hospitals in Korea between 2006 and 2021. NLR fold changes were calculated as the NLR on each day divided by the NLR value on the first day. We performed a multivariable Cox proportional hazard analysis to assess the association between the NLR fold change and 30-day mortality.ResultsThe NLR on day 1 did not differ between survivors and non-survivors; however, the NLR fold change on day 5 was significantly different. The highest quartile of NLR fold change during the first 5 days after CRRT initiation showed a significantly increased risk of death (hazard ratio [HR], 1.65; 95% confidence intervals (CI), 1.27–2.15) compared to the lowest quartile. NLR fold change as a continuous variable was an independent predictor of 30-day mortality (HR, 1.14; 95% CI, 1.05–1.23).ConclusionIn this study, we demonstrated an independent association between changes in NLR and mortality during the initial phase of CRRT in AKI patients receiving CRRT. Our findings provide evidence for the predictive role of changes in the NLR in this high-risk subgroup of AKI.
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Affiliation(s)
- Hyun Lee Ko
- Department of Internal Medicine, Uijeongbu Eulji Medical Center, Eulji University, Gyeonggi-Do, Republic of Korea
| | - Jiyun Jung
- Clinical Trial Center, Dongguk University Ilsan Hospital, Goyang, Republic of Korea
- Research Center for Chronic Disease and Environmental Medicine, Dongguk University College of Medicine, Gyeongju, Republic of Korea
| | - Jangwook Lee
- Research Center for Chronic Disease and Environmental Medicine, Dongguk University College of Medicine, Gyeongju, Republic of Korea
- Department of Internal Medicine, Dongguk University Ilsan Hospital, Goyang, Republic of Korea
| | - Jeong-Hoon Lim
- Division of Nephrology, Department of Internal Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea
| | - Dha Woon Im
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Jin Hyuk Paek
- Department of Internal Medicine, Keimyung University Dongsan Medical Center, Daegu, Republic of Korea
| | - Woo Yeong Park
- Department of Internal Medicine, Keimyung University Dongsan Medical Center, Daegu, Republic of Korea
| | - Kyeong Min Kim
- Department of Internal Medicine, Daejeon Eulji Medical Center, Eulji University, Daejeon, Republic of Korea
| | - Soyoung Lee
- Department of Internal Medicine, Daejeon Eulji Medical Center, Eulji University, Daejeon, Republic of Korea
| | - Sung Woo Lee
- Department of Internal Medicine, Uijeongbu Eulji Medical Center, Eulji University, Gyeonggi-Do, Republic of Korea
| | - Sung Joon Shin
- Research Center for Chronic Disease and Environmental Medicine, Dongguk University College of Medicine, Gyeongju, Republic of Korea
- Department of Internal Medicine, Dongguk University Ilsan Hospital, Goyang, Republic of Korea
- Department of Internal Medicine, Dongguk University College of Medicine, Gyeongju, Republic of Korea
| | - Dong Ki Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Chung Hee Baek
- Department of Internal Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Hyosang Kim
- Department of Internal Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea
| | - Jae Yoon Park
- Research Center for Chronic Disease and Environmental Medicine, Dongguk University College of Medicine, Gyeongju, Republic of Korea
- Department of Internal Medicine, Dongguk University Ilsan Hospital, Goyang, Republic of Korea
- Department of Internal Medicine, Dongguk University College of Medicine, Gyeongju, Republic of Korea
| | - Tae Hyun Ban
- Department of Internal Medicine, Eunpyeong St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
- *Correspondence: Tae Hyun Ban,
| | - Kipyo Kim
- Department of Internal Medicine, Inha University Hospital, Inha University College of Medicine, Incheon, Republic of Korea
- Kipyo Kim,
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Kim SG, Yun D, Kim J, Lee J, Kang MW, Kim YC, Kim DK, Oh KH, Joo KW, Koo H, Kim YS, Han SS. Risk of ventricular tachycardia and its outcomes in patients undergoing continuous renal replacement therapy due to acute kidney injury. Kidney Res Clin Pract 2023:j.krcp.22.101. [PMID: 37098675 DOI: 10.23876/j.krcp.22.101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Accepted: 08/03/2022] [Indexed: 04/27/2023] Open
Abstract
Background Despite efforts to treat critically ill patients who require continuous renal replacement therapy (CRRT) due to acute kidney injury (AKI), their mortality risk remains high. This condition may be attributable to complications of CRRT, such as arrhythmias. Here, we addressed the occurrence of ventricular tachycardia (VT) during CRRT and its relationship with patient outcomes. Methods This study retrospectively enrolled 2,397 patients who started CRRT due to AKI from 2010 to 2020 at Seoul National University Hospital in Korea. The occurrence of VT was evaluated from the initiation of CRRT until weaning from CRRT. The odds ratios (ORs) of mortality outcomes were measured using logistic regression models after adjustment for multiple variables. Results VT occurred in 150 patients (6.3%) after starting CRRT. Among them, 95 cases were defined as sustained VT (i.e., lasting ≥30 seconds), and the other 55 cases were defined as non-sustained VT (i.e., lasting <30 seconds). The occurrence of sustained VT was associated with a higher mortality rate than a nonoccurrence (OR, 2.04 and 95% confidence interval [CI], 1.23-3.39 for the 30-day mortality; OR, 4.06 and 95% CI, 2.04-8.08 for the 90-day mortality). The mortality risk did not differ between patients with non-sustained VT and nonoccurrence. A history of myocardial infarction, vasopressor use, and certain trends of blood laboratory findings (such as acidosis and hyperkalemia) were associated with the subsequent risk of sustained VT. Conclusion Sustained VT occurrence after starting CRRT is associated with increased patient mortality. The monitoring of electrolytes and acid-base status during CRRT is essential because of its relationship with the risk of VT.
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Affiliation(s)
- Seong Geun Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Donghwan Yun
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jayoun Kim
- Medical Research Collaborating Center, Seoul National University Hospital, Seoul, Republic of Korea
| | - Jinwoo Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Min Woo Kang
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Dong Ki Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Kook-Hwan Oh
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Kwon Wook Joo
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hoseok Koo
- Department of Internal Medicine, Inje University Seoul Paik Hospital, Seoul, Republic of Korea
| | - Yon Su Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
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Kim B, Im DW, Won H, Sunwoo J, Han SS, Lee H, Kim DK, Oh KH, Joo KW, Kim YS, Cho JY, Lee S, Oh J, Jang IJ, Kim YC. Effect of hemodialysis on the pharmacokinetics and pharmacodynamics of evogliptin. Diabetes Obes Metab 2023; 25:1769-1776. [PMID: 36852751 DOI: 10.1111/dom.15034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 02/17/2023] [Accepted: 02/24/2023] [Indexed: 03/01/2023]
Abstract
AIM To investigate the possible effect of hemodialysis (HD) on the pharmacokinetics (PKs) and pharmacodynamics (PDs) of evogliptin, a dipeptidyl peptidase-4 (DPP-4) inhibitor. METHODS A single-dose, open-label, parallel-group study of eight end-stage renal disease (ESRD) patients and eight matched healthy subjects was conducted. ESRD patients received a single oral dose of evogliptin 5 mg after and before HD with a 2-week washout between each dose, and healthy subjects received a single oral dose of evogliptin 5 mg. Serial blood, dialysate and urine samples were collected to assess the PK and PD profiles of evogliptin. To compare PK parameters before and after HD, geometric mean ratios (GMRs) and 90% confidence intervals (CIs) were calculated. RESULTS The GMRs and its 90% CIs for the maximum concentration (Cmax ) and area under the concentration-time curve from time 0 to the last measurable timepoint (AUClast ) of evogliptin when administered before HD compared to after HD were 0.7293 (0.6171-0.8620) and 0.9480 (0.8162-1.1010), respectively. The maximum DPP-4 inhibitory effect (Emax ), area under the DPP-4 inhibitory effect-time curve (AUEClast ), and time duration of more than 80% DPP-4 inhibition (Fi80) were comparable when evogliptin was administered before and after HD. Compared to healthy subjects, the mean AUClast of evogliptin was approximately 1.4-fold greater in ESRD patients, but the difference is unlikely to affect the safety and efficacy of evogliptin. CONCLUSION The effect of HD on the PKs and PDs of evogliptin was not clinically significant; therefore, dose adjustment according to HD status is not necessary. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Byungwook Kim
- Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul, Republic of Korea
| | - Dha Woon Im
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Heejae Won
- Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul, Republic of Korea
| | - Jung Sunwoo
- Clinical Trials Center, Chungnam National University Hospital, Daejeon, Korea
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Hajeong Lee
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Dong Ki Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Kook-Hwan Oh
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Kwon Wook Joo
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Yon Su Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Joo-Youn Cho
- Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul, Republic of Korea
| | - SeungHwan Lee
- Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul, Republic of Korea
| | - Jaeseong Oh
- Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul, Republic of Korea
| | - In-Jin Jang
- Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul, Republic of Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
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Shickel B, Lucarelli N, Rao AS, Yun D, Moon KC, Han SS, Sarder P. Spatially Aware Transformer Networks for Contextual Prediction of Diabetic Nephropathy Progression from Whole Slide Images. medRxiv 2023:2023.02.20.23286044. [PMID: 36865174 PMCID: PMC9980230 DOI: 10.1101/2023.02.20.23286044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Abstract
Diabetic nephropathy (DN) in the context of type 2 diabetes is the leading cause of end-stage renal disease (ESRD) in the United States. DN is graded based on glomerular morphology and has a spatially heterogeneous presentation in kidney biopsies that complicates pathologists' predictions of disease progression. Artificial intelligence and deep learning methods for pathology have shown promise for quantitative pathological evaluation and clinical trajectory estimation; but, they often fail to capture large-scale spatial anatomy and relationships found in whole slide images (WSIs). In this study, we present a transformer-based, multi-stage ESRD prediction framework built upon nonlinear dimensionality reduction, relative Euclidean pixel distance embeddings between every pair of observable glomeruli, and a corresponding spatial self-attention mechanism for a robust contextual representation. We developed a deep transformer network for encoding WSI and predicting future ESRD using a dataset of 56 kidney biopsy WSIs from DN patients at Seoul National University Hospital. Using a leave-one-out cross-validation scheme, our modified transformer framework outperformed RNNs, XGBoost, and logistic regression baseline models, and resulted in an area under the receiver operating characteristic curve (AUC) of 0.97 (95% CI: 0.90-1.00) for predicting two-year ESRD, compared with an AUC of 0.86 (95% CI: 0.66-0.99) without our relative distance embedding, and an AUC of 0.76 (95% CI: 0.59-0.92) without a denoising autoencoder module. While the variability and generalizability induced by smaller sample sizes are challenging, our distance-based embedding approach and overfitting mitigation techniques yielded results that sugest opportunities for future spatially aware WSI research using limited pathology datasets.
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Affiliation(s)
- Benjamin Shickel
- Dept. of Medicine—Quantitative Health, Univ. of Florida, Gainesville, FL, USA
- Univ. of Florida Intelligent Critical Care Center, Gainesville, FL, USA; Dept. of Electrical & Computer Engineering, Univ. of Florida, Gainesville, FL, USA
| | | | - Adish S. Rao
- Dept. of Computer and Information Science and Engineering, Univ. of Florida, Gainesville, FL
| | - Donghwan Yun
- Dept. of Internal Medicine, Seoul National Univ., Seoul, Korea
| | - Kyung Chul Moon
- Dept. of Internal Medicine, Seoul National Univ., Seoul, Korea
| | - Seung Seok Han
- Dept. of Internal Medicine, Seoul National Univ., Seoul, Korea
| | - Pinaki Sarder
- Dept. of Medicine—Quantitative Health, Univ. of Florida, Gainesville, FL, USA
- Dept. of Biomedical Engineering, Univ. of Florida, Gainesville, FL, USA
- Univ. of Florida Intelligent Critical Care Center, Gainesville, FL, USA; Dept. of Electrical & Computer Engineering, Univ. of Florida, Gainesville, FL, USA
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30
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Lee J, Kim SG, Yun D, Kang MW, Kim YC, Kim DK, Oh KH, Joo KW, Kim YS, Han SS. Consulting to nephrologist when starting continuous renal replacement therapy for acute kidney injury is associated with a survival benefit. PLoS One 2023; 18:e0281831. [PMID: 36791117 PMCID: PMC9931119 DOI: 10.1371/journal.pone.0281831] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 02/02/2023] [Indexed: 02/16/2023] Open
Abstract
BACKGROUND Several studies suggest improved outcomes for patients with kidney disease who consult a nephrologist. However, it remains undetermined whether a consultation with a nephrologist is related to a survival benefit after starting continuous renal replacement therapy (CRRT) due to acute kidney injury (AKI). METHODS Data from 2,397 patients who started CRRT due to severe AKI at Seoul National University Hospital, Korea between 2010 and 2020 were retrospectively collected. The patients were divided into two groups according to whether they underwent a nephrology consultation regarding the initiation and maintenance of CRRT. The Cox proportional hazards model was used to calculate the hazard ratio (HR) of mortality during admission to the intensive care unit after adjusting for multiple variables. RESULTS A total of 2,153 patients (89.8%) were referred to nephrologists when starting CRRT. The patients who underwent a nephrology consultation had a lower mortality rate than those who did not have a consultation (HR = 0.47 [0.40-0.56]; P < 0.001). Subsequently, patients who had nephrology consultations were divided into two groups (i.e., early and late) according to the timing of the consultation. Both patients with early and late consultation had lower mortality rates than patients without consultations, with HRs of 0.45 (0.37-0.54) and 0.51 (0.42-0.61), respectively. CONCLUSIONS Consultation with a nephrologist may contribute to a survival benefit after starting CRRT for AKI.
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Affiliation(s)
- Jinwoo Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Seong Geun Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Donghwan Yun
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Min Woo Kang
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Dong Ki Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Kook-Hwan Oh
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Kwon Wook Joo
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Yon Su Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
- * E-mail:
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31
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Kim SG, Yun D, Lee J, Kim YC, Kim DK, Oh KH, Joo KW, Kim YS, Han SS. Impact of intradialytic hypotension on mortality following the transition from continuous renal replacement therapy to intermittent hemodialysis. Acute Crit Care 2023; 38:86-94. [PMID: 36442470 PMCID: PMC10030245 DOI: 10.4266/acc.2022.00948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 09/27/2022] [Accepted: 10/14/2022] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND The transition of dialysis modalities from continuous renal replacement therapy (CRRT) to intermittent hemodialysis (iHD) is frequently conducted during the recovery phase of critically ill patients with acute kidney injury. Herein, we addressed the occurrence of intradialytic hypotension (IDH) after this transition, and its association with the mortality risk. METHODS A total of 541 patients with acute kidney injury who attempted to transition from CRRT to iHD at Seoul National University Hospital, Korea from 2010 to 2020 were retrospectively collected. IDH was defined as a discontinuation of dialysis because of hemodynamic instability plus a nadir systolic blood pressure <90 mm Hg or a decrease in systolic blood pressure ≥30 mm Hg during the first session of iHD. Odds ratios (ORs) of outcomes, such as in-hospital mortality and weaning from RRT, were measured using a logistic regression model after adjusting for multiple variables. RESULTS IDH occurred in 197 patients (36%), and their mortality rate (44%) was higher than that of those without IDH (19%; OR, 2.64; 95% confidence interval [CI], 1.70-4.08). For patients exhibiting IDH, the iHD sessions delayed successful weaning from RRT (OR, 0.62; 95% CI, 0.43-0.90) compared with sessions on those without IDH. Factors such as low blood pressure, high pulse rate, low urine output, use of mechanical ventilations and vasopressors, and hypoalbuminemia were associated with IDH risk. CONCLUSIONS IDH occurrence following the transition from CRRT to iHD is associated with high mortality and delayed weaning from RRT.
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Affiliation(s)
- Seong Geun Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Donghwan Yun
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Jinwoo Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Dong Ki Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Kook-Hwan Oh
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Kwon Wook Joo
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Yon Su Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
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Ginley B, Lucarelli N, Zee J, Jain S, Han SS, Rodrigues L, Wong ML, Jen KY, Sarder P. Automated Reference Kidney Histomorphometry using a Panoptic Segmentation Neural Network Correlates to Patient Demographics and Creatinine. Proc SPIE Int Soc Opt Eng 2023; 12471:124711R. [PMID: 37818349 PMCID: PMC10563118 DOI: 10.1117/12.2655288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/12/2023]
Abstract
Reference histomorphometric data of healthy human kidneys are lacking due to laborious quantitation requirements. We leveraged deep learning to investigate the relationship of histomorphometry with patient age, sex, and serum creatinine in a multinational set of reference kidney tissue sections. A panoptic segmentation neural network was developed and used to segment viable and sclerotic glomeruli, cortical and medullary interstitia, tubules, and arteries/arterioles in digitized images of 79 periodic acid-Schiff (PAS)-stained human nephrectomy sections showing minimal pathologic changes. Simple morphometrics (e.g., area, radius, density) were measured from the segmented classes. Regression analysis was used to determine the relationship of histomorphometric parameters with age, sex, and serum creatinine. The model achieved high segmentation performance for all test compartments. We found that the size and density of nephrons, arteries/arterioles, and the baseline level of interstitium vary significantly among healthy humans, with potentially large differences between subjects from different geographic locations. Nephron size in any region of the kidney was significantly dependent on patient creatinine. Slight differences in renal vasculature and interstitium were observed between sexes. Finally, glomerulosclerosis percentage increased and cortical density of arteries/arterioles decreased as a function of age. We show that precise measurements of kidney histomorphometric parameters can be automated. Even in reference kidney tissue sections with minimal pathologic changes, several histomorphometric parameters demonstrated significant correlation to patient demographics and serum creatinine. These robust tools support the feasibility of deep learning to increase efficiency and rigor in histomorphometric analysis and pave the way for future large-scale studies.
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Affiliation(s)
- Brandon Ginley
- Department of Pathology and Anatomical Sciences, University at Buffalo – The State University of New York, Buffalo, NY, USA
| | - Nicholas Lucarelli
- Department of Biomedical Engineering, University of Florida, Gainesville, FL, USA
| | - Jarcy Zee
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
- Children’s Hospital of Philadelphia, Philadelphia, PA
| | - Sanjay Jain
- Division of Nephrology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Luis Rodrigues
- University Clinic of Nephrology, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
- Nephrology Unit, Centro Hospitalare Universitário de Coimbra, Coimbra, Portugal
| | - Michelle L. Wong
- Department of Pathology and Laboratory Medicine, University of California, Davis School of Medicine, Sacramento, California, USA
| | - Kuang-yu Jen
- Department of Pathology and Laboratory Medicine, University of California, Davis School of Medicine, Sacramento, California, USA
| | - Pinaki Sarder
- Division of Nephrology, Hypertension, and Renal Transplantation, Department of Medicine, University of Florida, Gainesville, FL
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Shickel B, Lucarelli N, Rao A, Yun D, Moon KC, Han SS, Sarder P. Spatially Aware Transformer Networks for Contextual Prediction of Diabetic Nephropathy Progression from Whole Slide Images. Proc SPIE Int Soc Opt Eng 2023; 12471:124710K. [PMID: 37818350 PMCID: PMC10563813 DOI: 10.1117/12.2655266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/12/2023]
Abstract
Diabetic nephropathy (DN) in the context of type 2 diabetes is the leading cause of end-stage renal disease (ESRD) in the United States. DN is graded based on glomerular morphology and has a spatially heterogeneous presentation in kidney biopsies that complicates pathologists' predictions of disease progression. Artificial intelligence and deep learning methods for pathology have shown promise for quantitative pathological evaluation and clinical trajectory estimation; but, they often fail to capture large-scale spatial anatomy and relationships found in whole slide images (WSIs). In this study, we present a transformer-based, multi-stage ESRD prediction framework built upon nonlinear dimensionality reduction, relative Euclidean pixel distance embeddings between every pair of observable glomeruli, and a corresponding spatial self-attention mechanism for a robust contextual representation. We developed a deep transformer network for encoding WSI and predicting future ESRD using a dataset of 56 kidney biopsy WSIs from DN patients at Seoul National University Hospital. Using a leave-one-out cross-validation scheme, our modified transformer framework outperformed RNNs, XGBoost, and logistic regression baseline models, and resulted in an area under the receiver operating characteristic curve (AUC) of 0.97 (95% CI: 0.90-1.00) for predicting two-year ESRD, compared with an AUC of 0.86 (95% CI: 0.66-0.99) without our relative distance embedding, and an AUC of 0.76 (95% CI: 0.59-0.92) without a denoising autoencoder module. While the variability and generalizability induced by smaller sample sizes are challenging, our distance-based embedding approach and overfitting mitigation techniques yielded results that suggest opportunities for future spatially aware WSI research using limited pathology datasets.
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Affiliation(s)
- Benjamin Shickel
- Dept. of Medicine, University of Florida, Gainesville, FL, USA
- Univ. of Florida Intelligent Critical Care Center, Gainesville, FL, USA
| | | | - Adish Rao
- Dept. of Computer and Information Science and Engineering, Univ. of Florida, Gainesville, FL
| | - Donghwan Yun
- Dept. of Internal Medicine, Seoul National Univ. College of Medicine, Seoul, Korea
| | - Kyung Chul Moon
- Dept. of Internal Medicine, Seoul National Univ. College of Medicine, Seoul, Korea
| | - Seung Seok Han
- Dept. of Internal Medicine, Seoul National Univ. College of Medicine, Seoul, Korea
| | - Pinaki Sarder
- Dept. of Medicine, University of Florida, Gainesville, FL, USA
- Univ. of Florida Intelligent Critical Care Center, Gainesville, FL, USA
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Park S, Kim SG, Lee S, Kim Y, Cho S, Kim K, Kim YC, Han SS, Lee H, Lee JP, Joo KW, Lim CS, Kim YS, Kim DK. Causal linkage of tobacco smoking with ageing: Mendelian randomization analysis towards telomere attrition and sarcopenia. J Cachexia Sarcopenia Muscle 2023; 14:955-963. [PMID: 36696951 PMCID: PMC10067476 DOI: 10.1002/jcsm.13174] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 11/29/2022] [Accepted: 01/02/2023] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Ageing traits and frailty are important health issues in modern medicine. Evidence supporting the causal effects of tobacco smoking on various ageing traits is required. METHODS This study performed Mendelian randomization (MR) analysis instrumenting 377 genetic variants associated with being an ever-smoker at a genome-wide significance level to test the causal estimates from tobacco smoking. The outcome data were obtained from 337 138 white British ancestry participants from the UK Biobank. Leucocyte telomere length, appendicular lean mass index, subjective walking pace, handgrip strength, and wristband accelerometry-determined physical activity degree were collected as ageing-related outcomes. Summary-level MR analysis was performed using the inverse variance-weighted method and pleiotropy-robust MR methods, including weighted median and MR-Egger. Observational association between the outcome traits and phenotypically being an ever-smoker was also investigated. RESULTS Summary-level MR analysis indicated that a higher genetic predisposition for tobacco smoking was significantly associated with shorter leucocyte telomere length (twofold increase in prevalence of smoking towards standardized Z-score, -0.041 [-0.054, -0.028]), lower appendicular lean mass index (-0.007 [-0.010, -0.005]), slower walking pace (ordinal category, -0.047 [-0.054, -0.033]) and lower time spent on moderate-to-vigorous physical activity (hours per week, -0.39 [-0.56, -0.23]). The causal estimates were non-significant towards handgrip strength phenotype (kg, 0.074 [-0.055, 0.204]). Pleiotropy-robust MR results generally supported the main causal estimates. The observational findings also showed significant association between being an ever-smoker and the ageing traits. CONCLUSIONS Genetically predicted and observational tobacco smoking status are significantly associated with poor ageing phenotypes. Healthcare providers may continue to reduce tobacco use, which may be helpful in reducing the burden of ageing and frailty.
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Affiliation(s)
- Sehoon Park
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea.,Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Seong Geun Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Soojin Lee
- Department of Internal Medicine, Uijeongbu Eulji University Medical Center, Seoul, South Korea.,Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Yaerim Kim
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, South Korea
| | - Semin Cho
- Department of Internal Medicine, Chung-Ang University Gwangmyeong Hospital, Gyeonggi-do, South Korea
| | - Kwangsoo Kim
- Transdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, South Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea.,Kidney Research Institute, Seoul National University, Seoul, South Korea
| | - Hajeong Lee
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea.,Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Jung Pyo Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.,Kidney Research Institute, Seoul National University, Seoul, South Korea.,Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, South Korea
| | - Kwon Wook Joo
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea.,Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.,Kidney Research Institute, Seoul National University, Seoul, South Korea
| | - Chun Soo Lim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.,Kidney Research Institute, Seoul National University, Seoul, South Korea.,Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, South Korea
| | - Yon Su Kim
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea.,Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea.,Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.,Kidney Research Institute, Seoul National University, Seoul, South Korea
| | - Dong Ki Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea.,Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.,Kidney Research Institute, Seoul National University, Seoul, South Korea
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Kim SG, Lee J, Yun D, Kang MW, Kim YC, Kim DK, Oh KH, Joo KW, Kim YS, Han SS. Hyperlactatemia is a predictor of mortality in patients undergoing continuous renal replacement therapy for acute kidney injury. BMC Nephrol 2023; 24:11. [PMID: 36641421 PMCID: PMC9840420 DOI: 10.1186/s12882-023-03063-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 01/12/2023] [Indexed: 01/15/2023] Open
Abstract
BACKGROUND Hyperlactatemia occurs frequently in critically ill patients, and this pathologic condition leads to worse outcomes in several disease subsets. Herein, we addressed whether hyperlactatemia is associated with the risk of mortality in patients undergoing continuous renal replacement therapy (CRRT) due to acute kidney injury. METHODS A total of 1,661 patients who underwent CRRT for severe acute kidney injury were retrospectively reviewed between 2010 and 2020. The patients were categorized according to their serum lactate levels, such as high (≥ 7.6 mmol/l), moderate (2.1-7.5 mmol/l) and low (≤ 2 mmol/l), at the time of CRRT initiation. The hazard ratios (HRs) for the risk of in-hospital mortality were calculated with adjustment of multiple variables. The increase in the area under the receiver operating characteristic curve (AUROC) for the mortality risk was evaluated after adding serum lactate levels to the Sequential Organ Failure Assessment (SOFA) and the Acute Physiology and Chronic Health Evaluation (APACHE) II score-based models. RESULTS A total of 802 (48.3%) and 542 (32.6%) patients had moderate and high lactate levels, respectively. The moderate and high lactate groups had a higher risk of mortality than the low lactate group, with HRs of 1.64 (1.22-2.20) and 4.18 (2.99-5.85), respectively. The lactate-enhanced models had higher AUROCs than the models without lactates (0.764 vs. 0.702 for SOFA score; 0.737 vs. 0.678 for APACHE II score). CONCLUSIONS Hyperlactatemia is associated with mortality outcomes in patients undergoing CRRT for acute kidney injury. Serum lactate levels may need to be monitored in this patient subset.
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Affiliation(s)
- Seong Geun Kim
- grid.31501.360000 0004 0470 5905Department of Internal Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, 03080 Seoul, Korea
| | - Jinwoo Lee
- grid.31501.360000 0004 0470 5905Department of Internal Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, 03080 Seoul, Korea
| | - Donghwan Yun
- grid.31501.360000 0004 0470 5905Department of Internal Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, 03080 Seoul, Korea
| | - Min Woo Kang
- grid.31501.360000 0004 0470 5905Department of Internal Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, 03080 Seoul, Korea
| | - Yong Chul Kim
- grid.31501.360000 0004 0470 5905Department of Internal Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, 03080 Seoul, Korea
| | - Dong Ki Kim
- grid.31501.360000 0004 0470 5905Department of Internal Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, 03080 Seoul, Korea
| | - Kook-Hwan Oh
- grid.31501.360000 0004 0470 5905Department of Internal Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, 03080 Seoul, Korea
| | - Kwon Wook Joo
- grid.31501.360000 0004 0470 5905Department of Internal Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, 03080 Seoul, Korea
| | - Yon Su Kim
- grid.31501.360000 0004 0470 5905Department of Internal Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, 03080 Seoul, Korea
| | - Seung Seok Han
- grid.31501.360000 0004 0470 5905Department of Internal Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, 03080 Seoul, Korea
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36
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Park S, Kim SG, Lee S, Kim Y, Cho S, Kim K, Kim YC, Han SS, Lee H, Lee JP, Joo KW, Lim CS, Kim YS, Kim DK. Genetically predicted body selenium concentration and eGFR: A Mendelian randomization study. Kidney Int Rep 2023; 8:851-859. [PMID: 37069993 PMCID: PMC10105058 DOI: 10.1016/j.ekir.2023.01.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 11/29/2022] [Accepted: 01/09/2023] [Indexed: 01/22/2023] Open
Abstract
Introduction Selenium is a trace mineral that is commonly included in micronutrient supplements. The effect of selenium on kidney function remains unclear. A genetically predicted micronutrient and its association with estimated glomerular filtration rate (eGFR) can be used to assess the causal estimates by Mendelian randomization (MR). Methods In this MR study, we instrumented 11 genetic variants associated with blood or total selenium levels from a previous genome-wide association study (GWAS). The association between genetically predicted selenium concentration and eGFR was first assessed by summary-level MR in the chronic kidney disease(CKDGen) GWAS meta-analysis summary statistics, including 567,460 European samples. Inverse-variance weighted and pleiotropy-robust MR analyses were performed, in addition to multivariable MR adjusted for the effects of type 2 diabetes mellitus. Replication analysis was performed with individual-level UK Biobank data, including 337,318 White individuals of British ancestry. Results Summary-level MR analysis indicated that a genetically predicted 1 SD increase in selenium concentration was significantly associated with lower eGFR (-1.05 [-1.28, -0.82] %). The results were similarly reproduced by pleiotropy-robust MR analysis, including MR-Egger and weighted-median methods, and consistent even in the multivariable MR adjusted for diabetes. In the UK Biobank data, genetically predicted higher selenium concentration was also significantly associated with lower eGFR (- 0.36 [-0.52, -0.20] %), and the results were similar when body mass index, waist circumference, hypertension, and diabetes mellitus covariates were adjusted (-0.33 [-0.50, -0.17] %). Conclusion This MR study supports the hypothesis that higher genetically predicted body selenium is causally associated with lower eGFR.
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Kim SM, Kang M, Kang E, Kim JH, Kim Y, Ryu H, Han SS, Lee H, Kim YC, Oh KH. Associations among body composition parameters and quality of life in peritoneal dialysis patients. Sci Rep 2022; 12:19192. [PMID: 36357419 PMCID: PMC9649675 DOI: 10.1038/s41598-022-19715-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 09/02/2022] [Indexed: 11/11/2022] Open
Abstract
Health-related quality of life (HRQOL) is an important issue among patients undergoing dialysis treatment. Peritoneal dialysis (PD) is associated with a number of adverse body composition changes. However, whether body composition is associated with HRQOL is uncertain. The purpose of this study was to analyze the effects of body composition on HRQOL in PD patients. We performed a cross-sectional observational study on the association between body composition and HRQOL in PD patients at a single center. Body composition was determined by multifrequency bioimpedance spectroscopy. HRQOL is summarized to three composite scores: kidney disease component summary (KDCS), physical component summary (PCS), and mental component summary (MCS). The relationships between HRQOL and the hydration index, lean tissue index (LTI), and fat tissue index (FTI) were analyzed by regression analysis. One hundred and ninety-seven PD patients were included in the present study. Patients with severe fluid overload showed a lower PCS. The hydration index and FTI showed statistically significant negative associations with PCS. In subgroup analysis, the associations between the hydration index and PCS remained robust after stratifying according to sex, age, and residual urine. Our results indicated that both the hydration index and FTI were negatively associated with HRQOL, especially PCS.
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Affiliation(s)
- Seon-Mi Kim
- grid.412484.f0000 0001 0302 820XDepartment of Internal Medicine, Seoul National University Hospital, 101 Daehakro, Jongno-Gu, Seoul, 03080 Republic of Korea
| | - Minjung Kang
- grid.412484.f0000 0001 0302 820XDepartment of Internal Medicine, Seoul National University Hospital, 101 Daehakro, Jongno-Gu, Seoul, 03080 Republic of Korea
| | - Eunjeong Kang
- grid.255649.90000 0001 2171 7754Department of Internal Medicine, Ewha Womans University Seoul Hospital, Seoul, Republic of Korea
| | - Ji Hye Kim
- grid.412484.f0000 0001 0302 820XDepartment of Internal Medicine, Seoul National University Hospital, 101 Daehakro, Jongno-Gu, Seoul, 03080 Republic of Korea
| | - Yunmi Kim
- grid.411625.50000 0004 0647 1102Department of Internal Medicine, Inje University Busan Paik Hospital, Busan, Republic of Korea
| | - Hyunjin Ryu
- grid.412484.f0000 0001 0302 820XDepartment of Internal Medicine, Seoul National University Hospital, 101 Daehakro, Jongno-Gu, Seoul, 03080 Republic of Korea
| | - Seung Seok Han
- grid.412484.f0000 0001 0302 820XDepartment of Internal Medicine, Seoul National University Hospital, 101 Daehakro, Jongno-Gu, Seoul, 03080 Republic of Korea
| | - Hajeong Lee
- grid.412484.f0000 0001 0302 820XDepartment of Internal Medicine, Seoul National University Hospital, 101 Daehakro, Jongno-Gu, Seoul, 03080 Republic of Korea
| | - Yong Chul Kim
- grid.412484.f0000 0001 0302 820XDepartment of Internal Medicine, Seoul National University Hospital, 101 Daehakro, Jongno-Gu, Seoul, 03080 Republic of Korea
| | - Kook-Hwan Oh
- grid.412484.f0000 0001 0302 820XDepartment of Internal Medicine, Seoul National University Hospital, 101 Daehakro, Jongno-Gu, Seoul, 03080 Republic of Korea
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Kang MW, Tangri N, Kwon S, Li L, Lee H, Han SS, An JN, Lee J, Kim DK, Lim CS, Kim YS, Kim S, Lee JP. Development of New Equations Predicting the Mortality Risk of Patients on Continuous RRT. Kidney360 2022; 3:1494-1501. [PMID: 36245653 PMCID: PMC9528377 DOI: 10.34067/kid.0000862022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 05/02/2022] [Indexed: 11/27/2022]
Abstract
BackgroundPredicting the risk of death in patients admitted to the critical care unit facilitates appropriate management. In particular, among patients who are critically ill, patients with continuous RRT (CRRT) have high mortality, and predicting the mortality risk of these patients is difficult. The purpose of this study was to develop models for predicting the mortality risk of patients on CRRT and to validate the models externally.MethodsA total of 699 adult patients with CRRT who participated in the VolumE maNagement Under body composition monitoring in critically ill patientS on CRRT (VENUS) trial and 1515 adult patients with CRRT in Seoul National University Hospital were selected as the development and validation cohorts, respectively. Using 11 predictor variables selected by the Cox proportional hazards model and clinical importance, equations predicting mortality within 7, 14, and 28 days were developed with development cohort data.ResultsThe equation using 11 variables had area under the time-dependent receiver operating characteristic curve (AUROC) values of 0.75, 0.74, and 0.73 for predicting 7-, 14-, and 28-day mortality, respectively. All equations had significantly higher AUROCs than the Sequential Organ Failure Assessment (SOFA) and Acute Physiology and Chronic Health Evaluation II (APACHE II) scores. The 11-variable equation was superior to the SOFA and APACHE II scores in the integrated discrimination index and net reclassification improvement analyses.ConclusionsThe newly developed equations for predicting CRRT patient mortality showed superior performance to the previous scoring systems, and they can help physicians manage patients.
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Kim M, Yun J, Kang D, Kim TH, Oh M, Lee S, Kang M, Nam Y, Choi J, Yang M, Han SS, Lee H, Cho H, Yang J, Oh K, Kim YS, Jung JW, Lee KH, Kang H. HLA-A*24:02 increase the risk of allopurinol-induced drug reaction with eosinophilia and systemic symptoms in HLA-B*58:01 carriers in a Korean population; a multicenter cross-sectional case-control study. Clin Transl Allergy 2022; 12:e12193. [PMID: 36176736 PMCID: PMC9478421 DOI: 10.1002/clt2.12193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 07/06/2022] [Accepted: 08/22/2022] [Indexed: 11/24/2022] Open
Abstract
Background HLA-B*58:01 is a well-known risk factor for allopurinol-induced severe cutaneous adverse reactions (SCARs). However, only a minority of HLA-B*58:01 carriers suffer SCARs after taking allopurinol. The aim of this study was to investigate subsidiary genetic markers that could identify those at further increased risk of developing allopurinol-induced drug reaction with eosinophilia and systemic symptoms (DRESS) in subjects with HLA-B*58:01. Methods Subjects with B*58:01 were enrolled (21 allopurinol-induced DRESS and 52 allopurinol-tolerant control). HLA-A, -B, -C and -DRB1 alleles were compared. Comparison of risk between HLAs and allopurinol-induced SCAR in separate populations was performed to support the results. Kruskal-Wallis test, Pearson's chi-square test, Fisher's exact test and binary logistic regression were used to analyze the risk of SCAR development. Results Frequencies of A*24:02 (71.4 vs. 17.3%, p < 0.001, odds ratio [OR] = 12.0; 95% confidence interval [CI], 3.6-39.2) were significantly higher in B*58:01 (+) DRESS than B*58:01 (+) tolerant controls. In addition, DRB1*13:02 further increased the risk of DRESS. The phenotype frequency of A*24:02/DRB1*13:02 was significantly higher in the B*58:01 (+) DRESS group than in the B*58:01 (+) tolerant controls (52.4% vs. 5.8%, p < 0.001, OR, 66.0; 95% CI, 6.1-716.2). In 2782 allopurinol user cohort, the overall prevalence of DRESS was 0.22%, which increased to 1.62% and 2.86% in the presence of B*58:01 and B*58:01/A*24:02, respectively. Conclusion The additional secondary screening with A*24:02 and DRB1*13:02 alleles may identify those at further increased risk of allopurinol-induced DRESS in B*58:01 carriers.
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Affiliation(s)
- Mi‐Yeong Kim
- Department of Internal MedicineBusan Paik HospitalInje University College of MedicineBusanKorea
| | - James Yun
- Department of Immunology and RheumatologyNepean HospitalThe University of SydneySydneyAustralia
| | - Dong‐Yoon Kang
- Drug Safety Monitoring CenterSeoul National University HospitalSeoulKorea
| | - Tae Hee Kim
- Department of Internal MedicineBusan Paik HospitalInje University College of MedicineBusanKorea
| | - Min‐Kyung Oh
- Department of PharmacologyInje University College of MedicineBusanKorea
| | - Sunggun Lee
- Department of Internal MedicineHaeundae Paik HospitalInje University College of MedicineBusanKorea
| | - Min‐Gyu Kang
- Department of Internal MedicineChungbuk National University HospitalCheongjuKorea
| | - Young‐Hee Nam
- Department of Internal MedicineDong‐A University College of MedicineBusanKorea
| | - Jeong‐Hee Choi
- Department of Internal MedicineHallym University Dongtan Sacred Heart HospitalHallym University College of MedicineHwaseongKorea
| | - Min‐Suk Yang
- Department of Internal MedicineSMG‐SNU Boramae Medical CenterSeoulKorea
| | - Seung Seok Han
- Department of Internal MedicineSeoul National University College of MedicineSeoulKorea
| | - Hajeong Lee
- Department of Internal MedicineSeoul National University College of MedicineSeoulKorea
| | - Hyun‐Jai Cho
- Department of Internal MedicineSeoul National University College of MedicineSeoulKorea
| | - Jaeseok Yang
- Department of Internal MedicineYonsei University College of MedicineSeverance HospitalSeoulKorea
| | - Kook‐Hwan Oh
- Department of Internal MedicineSeoul National University College of MedicineSeoulKorea
| | - Yon Su Kim
- Department of Internal MedicineSeoul National University College of MedicineSeoulKorea
| | - Jae Woo Jung
- Department of Internal MedicineChung‐Ang University College of MedicineSeoulKorea
| | - Kye Hwa Lee
- Department of Information MedicineAsan Medical CenterSeoulKorea
| | - Hye‐Ryun Kang
- Drug Safety Monitoring CenterSeoul National University HospitalSeoulKorea
- Department of Internal MedicineSeoul National University College of MedicineSeoulKorea
- Institute of Allergy and Clinical ImmunologySeoul National University Medical Research CenterSeoul National University College of MedicineSeoulKorea
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Park S, Lee S, Kim Y, Lee Y, Kang MW, Kim K, Kim YC, Han SS, Lee H, Lee JP, Joo KW, Lim CS, Kim YS, Kim DK. Serum bilirubin and kidney function: a Mendelian randomization study. Clin Kidney J 2022; 15:1755-1762. [PMID: 36003670 PMCID: PMC9394720 DOI: 10.1093/ckj/sfac120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Indexed: 11/19/2022] Open
Abstract
Background Further investigation is needed to determine the causal effects of serum bilirubin on the risk of chronic kidney disease (CKD). Methods This study is a Mendelian randomization (MR) analysis. Among the well-known single-nucleotide polymorphisms (SNPs) related to serum bilirubin levels, rs4149056 in the SLCO1B1 gene was selected as the genetic instrument for single-variant MR analysis, as it was found to be less related to possible confounders than other SNPs. The association between genetic predisposition for bilirubin levels and estimated glomerular filtration rate (eGFR) or CKD was assessed in 337 129 individuals of white British ancestry from the UK Biobank cohort. Two-sample MR based on summary-level data was also performed. SNPs related to total or direct bilirubin levels were collected from a previous genome-wide association study and confounder-associated SNPs were discarded. The independent CKDGen meta-analysis data for CKD were employed as the outcome summary statistics. Results The alleles of rs4149056 associated with higher bilirubin levels were associated with better kidney function in the UK Biobank data. In the summary-level MR, both of the genetically predicted total bilirubin {per 5 µmol/L increase; odds ratio [OR] 0.931 [95% confidence interval (CI) 0.871-0.995]} and direct bilirubin [per 1 µmol/L increase; OR 0.910 (95% CI 0.834-0.993)] levels were significantly associated with a lower risk of CKD, supported by the causal estimates from various MR sensitivity analyses. Conclusion Genetic predisposition for higher serum bilirubin levels is associated with better kidney function. This result suggests that higher serum bilirubin levels may have causal protective effects against kidney function impairment.
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Affiliation(s)
- Sehoon Park
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
| | - Soojin Lee
- Department of Internal Medicine, Uijeongbu Eulji University Medical Center, Seoul, Korea
| | - Yaerim Kim
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
| | - Yeonhee Lee
- Department of Internal Medicine, Uijeongbu Eulji University Medical Center, Seoul, Korea
| | - Min Woo Kang
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Kwangsoo Kim
- Transdisciplinary Department of Medicine and Advanced Technology, Seoul National University Hospital, Seoul, Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Hajeong Lee
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Jung Pyo Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Kwon Wook Joo
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Chun Soo Lim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Yon Su Kim
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
| | - Dong Ki Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
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Park S, Lee S, Kim Y, Cho S, Huh H, Kim K, Kim YC, Han SS, Lee H, Lee JP, Joo KW, Lim CS, Kim YS, Kim DK. Mendelian randomization reveals causal effects of kidney function on various biochemical parameters. Commun Biol 2022; 5:713. [PMID: 35856088 PMCID: PMC9293908 DOI: 10.1038/s42003-022-03659-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Accepted: 06/28/2022] [Indexed: 11/30/2022] Open
Abstract
The kidney is a vital organ with diverse biological effects and the burden of kidney function impairment is increasing in modern medicine. As the effects from kidney function on diverse biochemical parameters are yet fully understood, additional investigation to reveal the causal effects is warranted. Here we show the causal estimates from kidney function parameter, estimated glomerular filtration rate (eGFR), on 60 biochemical parameters by performing two-sample Mendelian randomization (MR) study in 337,138 white British UK Biobank participants. A higher genetically predicted eGFR was significantly associated with higher lymphocyte percentage, HDL cholesterol, and alanine aminotransferase. The causal estimates indicated that a higher genetically predicted eGFR was associated with lower urea, urate, insulin growth factor-1, and triglycerides levels. The parameters with significant but non-linear causal estimates were hemoglobin concentration, calcium, vitamin D, and urine creatinine values, identified by non-linear MR. Healthcare providers should understand that changes in eGFR may affect the identified biochemical parameters in diverse patterns. Future study is warranted to expand the knowledge of the mechanisms and clinical implications of the causal effects of eGFR on various biochemical parameters.
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Affiliation(s)
- Sehoon Park
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea
| | - Soojin Lee
- Department of Internal Medicine, Uijeongbu Eulji University Medical Center, Gyeonggi-do, Korea.,Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Yaerim Kim
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
| | - Semin Cho
- Department of Internal Medicine, Chung-Ang University Gwangmyeong Hospital, Gyeonggi-do, Korea
| | - Hyeok Huh
- Department of Internal Medicine, Inje University Busan Paik Hospital, Busan, Korea
| | - Kwangsoo Kim
- Transdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.,Kidney Research Institute, Seoul National University, Seoul, Korea
| | - Hajeong Lee
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Jung Pyo Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.,Kidney Research Institute, Seoul National University, Seoul, Korea.,Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Korea
| | - Kwon Wook Joo
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.,Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.,Kidney Research Institute, Seoul National University, Seoul, Korea
| | - Chun Soo Lim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.,Kidney Research Institute, Seoul National University, Seoul, Korea.,Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Korea
| | - Yon Su Kim
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea.,Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.,Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.,Kidney Research Institute, Seoul National University, Seoul, Korea
| | - Dong Ki Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea. .,Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea. .,Kidney Research Institute, Seoul National University, Seoul, Korea.
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Santo BA, Govind D, Daneshpajouhnejad P, Yang X, Wang XX, Myakala K, Jones BA, Levi M, Kopp JB, Yoshida T, Niedernhofer LJ, Manthey D, Moon KC, Han SS, Zee J, Rosenberg AZ, Sarder P. PodoCount: A Robust, Fully Automated, Whole-Slide Podocyte Quantification Tool. Kidney Int Rep 2022; 7:1377-1392. [PMID: 35694561 PMCID: PMC9174049 DOI: 10.1016/j.ekir.2022.03.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 02/25/2022] [Accepted: 03/04/2022] [Indexed: 12/13/2022] Open
Abstract
Introduction Podocyte depletion is a histomorphologic indicator of glomerular injury and predicts clinical outcomes. Podocyte estimation methods or podometrics are semiquantitative, technically involved, and laborious. Implementation of high-throughput podometrics in experimental and clinical workflows necessitates an automated podometrics pipeline. Recognizing that computational image analysis offers a robust approach to study cell and tissue structure, we developed and validated PodoCount (a computational tool for automated podocyte quantification in immunohistochemically labeled tissues) using a diverse data set. Methods Whole-slide images (WSIs) of tissues immunostained with a podocyte nuclear marker and periodic acid–Schiff counterstain were acquired. The data set consisted of murine whole kidney sections (n = 135) from 6 disease models and human kidney biopsy specimens from patients with diabetic nephropathy (DN) (n = 45). Within segmented glomeruli, podocytes were extracted and image analysis was applied to compute measures of podocyte depletion and nuclear morphometry. Computational performance evaluation and statistical testing were performed to validate podometric and associated image features. PodoCount was disbursed as an open-source, cloud-based computational tool. Results PodoCount produced highly accurate podocyte quantification when benchmarked against existing methods. Podocyte nuclear profiles were identified with 0.98 accuracy and segmented with 0.85 sensitivity and 0.99 specificity. Errors in podocyte count were bounded by 1 podocyte per glomerulus. Podocyte-specific image features were found to be significant predictors of disease state, proteinuria, and clinical outcome. Conclusion PodoCount offers high-performance podocyte quantitation in diverse murine disease models and in human kidney biopsy specimens. Resultant features offer significant correlation with associated metadata and outcome. Our cloud-based tool will provide end users with a standardized approach for automated podometrics from gigapixel-sized WSIs.
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Affiliation(s)
- Briana A. Santo
- Department of Pathology and Anatomical Sciences, University at Buffalo, Buffalo, New York, USA
| | - Darshana Govind
- Department of Pathology and Anatomical Sciences, University at Buffalo, Buffalo, New York, USA
| | | | - Xiaoping Yang
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Xiaoxin X. Wang
- Department of Biochemistry, Molecular & Cellular Biology, Georgetown University, Washington, District of Columbia, USA
| | - Komuraiah Myakala
- Department of Biochemistry, Molecular & Cellular Biology, Georgetown University, Washington, District of Columbia, USA
| | - Bryce A. Jones
- Department of Pharmacology and Physiology, Georgetown University, Washington, District of Columbia, USA
| | - Moshe Levi
- Department of Biochemistry, Molecular & Cellular Biology, Georgetown University, Washington, District of Columbia, USA
| | - Jeffrey B. Kopp
- Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Teruhiko Yoshida
- Kidney Disease Section, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Laura J. Niedernhofer
- Institute on the Biology of Aging and Metabolism, Department of Biochemistry, Molecular Biology, and Biophysics, University of Minnesota, Minneapolis, Minnesota, USA
| | | | - Kyung Chul Moon
- Department of Pathology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jarcy Zee
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Avi Z. Rosenberg
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Correspondence: Avi Z. Rosenberg, Department of Pathology, Johns Hopkins University School of Medicine, 720 Rutland Avenue, Ross Building, Room 632D, Johns Hopkins Medical Institutions, Baltimore, Maryland 21205, USA.
| | - Pinaki Sarder
- Department of Pathology and Anatomical Sciences, University at Buffalo, Buffalo, New York, USA
- Pinaki Sarder, Department of Pathology and Anatomical Sciences, University at Buffalo, 955 Main Street, Room 4204, Buffalo, New York 14203, USA.
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Kim S, Yun D, Kwon S, Lee SR, Kim K, Kim YC, Kim DK, Oh KH, Joo KW, Lee HC, Jung CW, Kim YS, Han SS. System of integrating biosignals during hemodialysis: the CONTINUAL (Continuous mOnitoriNg viTal sIgN dUring hemodiALysis registry. Kidney Res Clin Pract 2022; 41:363-371. [PMID: 35698753 PMCID: PMC9184839 DOI: 10.23876/j.krcp.21.157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2021] [Accepted: 10/01/2021] [Indexed: 12/04/2022] Open
Abstract
Background Appropriate monitoring of intradialytic biosignals is essential to minimize adverse outcomes because intradialytic hypotension and arrhythmia are associated with cardiovascular risk in hemodialysis patients. However, a continuous monitoring system for intradialytic biosignals has not yet been developed. Methods This study investigated a cloud system that hosted a prospective, open-source registry to monitor and collect intradialytic biosignals, which was named the CONTINUAL (Continuous mOnitoriNg viTal sIgN dUring hemodiALysis) registry. This registry was based on real-time multimodal data acquisition, such as blood pressure, heart rate, electrocardiogram, and photoplethysmogram results. Results We analyzed session information from this system for the initial 8 months, including data for some cases with hemodynamic complications such as intradialytic hypotension and arrhythmia. Conclusion This biosignal registry provides valuable data that can be applied to conduct epidemiological surveys on hemodynamic complications during hemodialysis and develop artificial intelligence models that predict biosignal changes which can improve patient outcomes.
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Affiliation(s)
- Seonmi Kim
- Division of Nephrology, Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Donghwan Yun
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Soonil Kwon
- Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - So-Ryoung Lee
- Division of Cardiology, Department of Internal Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Kwangsoo Kim
- Transdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, Republic of Korea
| | - Yong Chul Kim
- Division of Nephrology, Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Dong Ki Kim
- Division of Nephrology, Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Kook-Hwan Oh
- Division of Nephrology, Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Kwon Wook Joo
- Division of Nephrology, Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hyung-Chul Lee
- Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Chul-Woo Jung
- Department of Anesthesiology and Pain Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yon Su Kim
- Division of Nephrology, Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Seung Seok Han
- Division of Nephrology, Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea
- Correspondence: Seung Seok Han Department of Internal Medicine, Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea. E-mail:
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Yang S, Kwak S, Song YH, Han SS, Lee HS, Kang S, Lee SP. Association of Longitudinal Trajectories of Insulin Resistance With Adverse Renal Outcomes. Diabetes Care 2022; 45:1268-1275. [PMID: 35290429 DOI: 10.2337/dc21-2521] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 02/18/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To analyze the relationship between time-serial changes in insulin resistance and renal outcomes. RESEARCH DESIGN AND METHODS A prospective cohort of subjects from the general population without chronic kidney disease (CKD) underwent a biennial checkup for 12 years (n = 5,347). The 12-year duration was divided into a 6-year exposure period, where distinct HOMA for insulin resistance (HOMA-IR) trajectories were identified using latent variable mixture modeling, followed by a 6-year event accrual period, from which the renal outcome data were analyzed. The primary end point was adverse renal outcomes, defined as a composite of estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2 in two or more consecutive checkups or albumin ≥1+ on urine strip. RESULTS Two distinct groups of HOMA-IR trajectories were identified during the exposure period: stable (n = 4,770) and increasing (n = 577). During the event accrual period, 449 patients (8.4%) developed adverse renal outcomes, and the risk was higher in the increasing HOMA-IR trajectory group than in the stable group (hazard ratio 2.06, 95% CI 1.62-2.60, P < 0.001). The results were similar after adjustment for baseline clinical characteristics, comorbidities, anthropometric and laboratory findings, eGFR, and HOMA-IR. The clinical significance of increasing HOMA-IR trajectory was similar in three or four HOMA-IR trajectories. The increasing tendency of HOMA-IR was persistently associated with a higher incidence of adverse renal outcomes, irrespective of the prevalence of diabetes. CONCLUSIONS An increasing tendency of insulin resistance was associated with a higher risk of adverse renal outcomes. Time-serial tracking of insulin resistance may help identify patients at high risk for CKD.
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Affiliation(s)
- Seokhun Yang
- Division of Cardiology and Cardiovascular Center, Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Soongu Kwak
- Division of Cardiology and Cardiovascular Center, Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
| | - You-Hyun Song
- Division of Cardiology and Cardiovascular Center, Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Seung Seok Han
- Division of Nephrology, Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Hye Sun Lee
- Biostatistics Collaboration Unit, Department of Research Affairs, Yonsei University College of Medicine, Seoul, South Korea
| | - Shinae Kang
- Division of Endocrinology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Seung-Pyo Lee
- Division of Cardiology and Cardiovascular Center, Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
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Wang R, Kim KH, Yoo J, Li X, Kwon N, Jeon YH, Shin SK, Han SS, Lee DS, Yoon J. A Nanostructured Phthalocyanine/Albumin Supramolecular Assembly for Fluorescence Turn-On Imaging and Photodynamic Immunotherapy. ACS Nano 2022; 16:3045-3058. [PMID: 35089696 DOI: 10.1021/acsnano.1c10565] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Smart phototheranostic nanomaterials are of significant interest for high-quality imaging and targeted therapy in the precision medicine field. Herein, a nanoscale photosensitizer (NanoPcM) is constructed through the self-assembly of morpholine-substituted silicon phthalocyanine (PcM) and albumin. NanoPcM displays a turn-on fluorescence depending on the acid-induced abolition of the photoinduced electron transfer effect (change in molecular structure) and disassembly of the nanostructure (change in supramolecular structure), which enables low-background and tumor-targeted fluorescence imaging. In addition, its efficient type I photoreaction endows NanoPcM with a superior immunogenic photodynamic therapy (PDT) effect against solid tumors. The combination of NanoPcM-based PDT and αPD-1-based immunotherapy can efficiently inhibit tumor growth, reduce spontaneous lung metastasis, and trigger abscopal effects. This study should provide a perspective for the future design of nanomaterials as promising phototheranostics for cancer imaging and therapy.
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Affiliation(s)
- Rui Wang
- Department of Chemistry and Nanoscience, Ewha Womans University, Seoul 03760, Republic of Korea
| | - Kyu-Hwan Kim
- Department of Biomedical Sciences, College of Medicine, Wide River Institute of Immunology, Seoul National University, 103 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea
| | - Jiyoon Yoo
- Department of Biomedical Sciences, College of Medicine, Wide River Institute of Immunology, Seoul National University, 103 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea
| | - Xingshu Li
- College of Chemistry, State Key Laboratory of Photocatalysis for Energy and the Environment, Fujian Provincial Key Laboratory for Cancer Metastasis Chemoprevention and Chemotherapy, Fuzhou University, Fuzhou 350108, China
| | - Nahyun Kwon
- Department of Chemistry and Nanoscience, Ewha Womans University, Seoul 03760, Republic of Korea
| | - Yun-Hui Jeon
- Department of Biomedical Sciences, College of Medicine, Wide River Institute of Immunology, Seoul National University, 103 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea
| | - Suk-Kyung Shin
- Department of Biomedical Sciences, College of Medicine, Wide River Institute of Immunology, Seoul National University, 103 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea
| | - Seung Seok Han
- Department of Biomedical Sciences, College of Medicine, Wide River Institute of Immunology, Seoul National University, 103 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea
| | - Dong-Sup Lee
- Department of Biomedical Sciences, College of Medicine, Wide River Institute of Immunology, Seoul National University, 103 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea
| | - Juyoung Yoon
- Department of Chemistry and Nanoscience, Ewha Womans University, Seoul 03760, Republic of Korea
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46
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Park S, Lee S, Kim Y, Cho S, Huh H, Kim K, Kim YC, Han SS, Lee H, Lee JP, Joo KW, Lim CS, Kim YS, Kim DK. Nonlinear causal effects of estimated glomerular filtration rate on myocardial infarction risks: Mendelian randomization study. BMC Med 2022; 20:44. [PMID: 35109828 PMCID: PMC8811984 DOI: 10.1186/s12916-022-02251-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 01/11/2022] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Previous observational studies suggested that a reduction in estimated glomerular filtration rate (eGFR) or a supranormal eGFR value was associated with adverse cardiovascular risks. However, a previous Mendelian randomization (MR) study under the linearity assumption reported null causal effects from eGFR on myocardial infarction (MI) risks. Further investigation of the nonlinear causal effect of kidney function assessed by eGFR on the risk of MI by nonlinear MR analysis is warranted. METHODS In this MR study, genetic instruments for log-eGFR based on serum creatinine were developed from European samples included in the CKDGen genome-wide association study (GWAS) meta-analysis (N=567,460). Alternate instruments for log-eGFR based on cystatin C were developed from a GWAS of European individuals that included the CKDGen and UK Biobank data (N=460,826). Nonlinear MR analysis for the risk of MI was performed using the fractional polynomial method and the piecewise linear method on data from individuals of white British ancestry in the UK Biobank (N=321,024, with 12,205 MI cases). RESULTS Nonlinear MR analysis demonstrated a U-shaped (quadratic P value < 0.001) association between MI risk and genetically predicted eGFR (creatinine) values, as MI risk increased as eGFR declined in the low eGFR range and the risk increased as eGFR increased in the high eGFR range. The results were similar even after adjustment for clinical covariates, such as blood pressure, diabetes mellitus, dyslipidemia, or urine microalbumin levels, or when genetically predicted eGFR (cystatin C) was included as the exposure. CONCLUSION Genetically predicted eGFR is significantly associated with the risk of MI with a parabolic shape, suggesting that kidney function impairment, either by reduced or supranormal eGFR, may be causally linked to a higher MI risk.
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Affiliation(s)
- Sehoon Park
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea.,Department of Internal Medicine, Armed Forces Capital Hospital, Gyeonggi-do, South Korea
| | - Soojin Lee
- Department of Internal Medicine, Uijeongbu Eulji University Medical Center, Seoul, South Korea.,Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea
| | - Yaerim Kim
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, South Korea
| | - Semin Cho
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.,Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Hyeok Huh
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Kwangsoo Kim
- Transdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, South Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea.,Kidney Research Institute, Seoul National University, Seoul, South Korea
| | - Hajeong Lee
- Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea
| | - Jung Pyo Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.,Kidney Research Institute, Seoul National University, Seoul, South Korea.,Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, South Korea
| | - Kwon Wook Joo
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.,Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea.,Kidney Research Institute, Seoul National University, Seoul, South Korea
| | - Chun Soo Lim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.,Kidney Research Institute, Seoul National University, Seoul, South Korea.,Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, South Korea
| | - Yon Su Kim
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea.,Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea.,Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea.,Kidney Research Institute, Seoul National University, Seoul, South Korea
| | - Dong Ki Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, South Korea. .,Department of Internal Medicine, Seoul National University Hospital, Seoul, South Korea. .,Kidney Research Institute, Seoul National University, Seoul, South Korea.
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47
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Park S, Lee S, Kim Y, Cho S, Kim K, Chul Kim Y, Han SS, Lee H, Lee JP, Joo KW, Lim CS, Kim YS, Kim DK. Causal effects from non-alcoholic fatty liver disease on kidney function: A Mendelian randomization study. Liver Int 2022; 42:412-418. [PMID: 34843158 DOI: 10.1111/liv.15118] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 11/25/2021] [Indexed: 12/22/2022]
Abstract
BACKGROUND AND AIMS An observational association between nonalcoholic fatty liver disease (NAFLD) and kidney function impairment has been reported. We aimed to investigate the causal effects from NAFLD on estimated glomerular filtration rate (eGFR) by a Mendelian randomization (MR) study. METHODS We first performed single-variant MR with rs738409 as a genetic instrument for NAFLD. Another genetic instrument was developed from a genome-wide association study for biopsy-confirmed NAFLD among individuals of European ancestry (1483 cases and 17 781 controls). The eGFR outcome was assessed in individuals of white British ancestry from the UK Biobank (N = 321 405). The associations were reassessed in the negative control subgroup (body mass index < 30 kg/m2 , absence of central obesity, and serum alanine aminotransferase level ≤ 20 IU/mL) with a low probability of developing NAFLD. As a replication analysis, a summary-level MR was performed with the European ancestry CKDGen dataset (N = 567 460). RESULTS In the UK Biobank, a genetic predisposition for NAFLD, determined either by the single SNP rs738409 or by the group of variants, was significantly associated with a reduced eGFR even with adjustment for metabolic disorders. Although the associations were not significant in the negative control subgroup with a low probability of developing NAFLD, they were significant in the subgroup with a remaining risk of NAFLD, suggesting the absence of a horizontal pleiotropic pathway. The summary-level MR from the CKDGen dataset supported the causal effects of NAFLD on reduced eGFR. CONCLUSIONS This MR analysis supports the causal reduction in kidney function by NAFLD.
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Affiliation(s)
- Sehoon Park
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea.,Department of Internal Medicine, Armed Forces Capital Hospital, Gyeonggi-do, Korea
| | - Soojin Lee
- Division of Nephrology, Department of Internal Medicine, Uijeongbu Eulji University Medical Center, Gyeonggi-do, Korea
| | - Yaerim Kim
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
| | - Semin Cho
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Kwangsoo Kim
- Transdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.,Kidney Research Institute, Seoul National University, Seoul, Korea
| | - Hajeong Lee
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.,Kidney Research Institute, Seoul National University, Seoul, Korea
| | - Jung Pyo Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.,Kidney Research Institute, Seoul National University, Seoul, Korea.,Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Korea
| | - Kwon Wook Joo
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.,Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.,Kidney Research Institute, Seoul National University, Seoul, Korea
| | - Chun Soo Lim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.,Kidney Research Institute, Seoul National University, Seoul, Korea.,Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Korea
| | - Yon Su Kim
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea.,Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.,Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.,Kidney Research Institute, Seoul National University, Seoul, Korea
| | - Dong Ki Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.,Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.,Kidney Research Institute, Seoul National University, Seoul, Korea
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48
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Lucarelli N, Yun D, Han D, Ginley B, Moon KC, Rosenberg A, Tomaszewski J, Han SS, Sarder P. Computational Integration of Renal Histology and Urinary Proteomics using Neural Networks. Proc SPIE Int Soc Opt Eng 2022; 12039:120390U. [PMID: 37817878 PMCID: PMC10563119 DOI: 10.1117/12.2613500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/12/2023]
Abstract
Histological image data and molecular profiles provide context into renal condition. Often, a biopsy is drawn to diagnose or monitor a suspected kidney problem. However, molecular profiles can go beyond a pathologist's ability to see and diagnose. Using AI, we computationally incorporated urinary proteomic profiles with microstructural morphology from renal biopsy to investigate new and existing molecular links to image phenotypes. We studied whole slide images of periodic acid-Schiff stained renal biopsies from 56 DN patients matched with 2,038 proteins measured from each patient's urine. Using Seurat, we identified differentially expressed proteins in patients that developed end-stage renal disease within 2 years of biopsy. Glomeruli, globally sclerotic glomeruli, and tubules were segmented from WSI using our previously published HAIL pipeline. For each glomerulus, 315 handcrafted digital image features were measured, and for tubules, 207 features. We trained fully connected networks to predict urinary protein measurements that were differentially expressed between patients who did/ did not progress to ESRD within 2 years of biopsy. The input to this network was either glomerular or tubular histomorphological features in biopsy. Trained network weights were used as a proxy to rank which morphological features correlated most highly with specific urinary proteins. We identified significant image feature-protein pairs by ranking network weights by magnitude. We also looked at which features on average were most significant in predicting proteins. For both glomeruli and tubules, RGB color values and variance in PAS+ areas (specifically basement membrane for tubules) were, on average, more predictive of molecular profiles than other features. There is a strong connection between molecular profile and image phenotype, which can be elucidated through computational methods. These discovered links can provide insight to disease pathways, and discover new factors contributing to incidence and progression.
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Affiliation(s)
- Nicholas Lucarelli
- Department of Pathology and Anatomical Sciences, University at Buffalo – The State University of New York, Buffalo, New York
| | - Donghwan Yun
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Dohyun Han
- Proteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, Seoul, Korea
| | - Brandon Ginley
- Department of Pathology and Anatomical Sciences, University at Buffalo – The State University of New York, Buffalo, New York
| | - Kyung Chul Moon
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Avi Rosenberg
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - John Tomaszewski
- Department of Pathology and Anatomical Sciences, University at Buffalo – The State University of New York, Buffalo, New York
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Pinaki Sarder
- Department of Pathology and Anatomical Sciences, University at Buffalo – The State University of New York, Buffalo, New York
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49
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Park S, Cho S, Lee S, Kim Y, Park S, Huh H, Kim YC, Han SS, Lee H, Lee JP, Joo KW, Lim CS, Kim YS, Han K, Kim DK. Association between visit-to-visit blood pressure variability and risks of dementia in CKD patients: a nationwide observational cohort study. Clin Kidney J 2022; 15:1506-1513. [PMID: 36824064 PMCID: PMC9942440 DOI: 10.1093/ckj/sfac020] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Indexed: 11/12/2022] Open
Abstract
Background The association between visit-to-visit blood pressure (BP) variability and dementia risk in chronic kidney disease (CKD) patients has rarely been studied. Methods In this retrospective observational study, individuals who received three or more general health screenings were identified in the nationwide database of Korea. Those with persistent non-dialysis-dependent CKD [estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2 or dipstick albuminuria ≥1+] were included. The study exposure was systolic or diastolic BP variability, calculated as the variation independent of the mean and categorized into quartiles (Q4: the highest quartile; Q1: the lowest quartile). The risks of all-cause dementia, including Alzheimer's disease and vascular dementia, were analyzed by Cox regression adjusted for various clinical characteristics, including baseline BP and eGFR values. Results We included 103 139 CKD patients and identified 7574 (7%) dementia events, including 5911 (6%) Alzheimer's disease cases, 886 (1%) vascular dementia events and 777 (1%) cases categorized as other types of dementia. Higher systolic BP variability was significantly associated with higher risks of all-cause dementia {[Q4 versus Q1], hazard ratio [HR] 1.173 [95% confidence interval (CI) 1.102-1.249], P for trend < .001}. The results were also significant for the risk of Alzheimer's disease [HR 1.162 (95% CI 1.083-1.248), P < .001] and vascular dementia [HR 1.282 (95% CI 1.064-1.545), P = .039]. The results were similar when diastolic BP variability was the exposure, as high diastolic BP variability was significantly associated with higher risks of all-cause dementia [HR 1.191 (95% CI 1.117,1.270), P < .001]. Conclusions Higher visit-to-visit BP variability is significantly associated with a higher risk of dementia in CKD patients.
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Affiliation(s)
- Sehoon Park
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea,Department of Internal Medicine, Armed Forces Capital Hospital, Gyeonggi-do, Korea
| | - Semin Cho
- Department of Internal Medicine, Chungang University Gwangmyeong Hospital, Gyeonggi-do, Korea
| | - Soojin Lee
- Department of Internal Medicine, Uijeongbu Eulji University Medical Center, Gyeonggi-do, Korea
| | - Yaerim Kim
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
| | - Sanghyun Park
- Department of Medical Statistics, College of Medicine, Catholic University of Korea, Seoul, Korea
| | - Hyeok Huh
- Department of Internal Medicine, Busan Paik Hospital, Busan, Korea
| | - Yong Chul Kim
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Seung Seok Han
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea,Kidney Research Institute, Seoul National University, Seoul, Korea,Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Hajeong Lee
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea,Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Jung Pyo Lee
- Kidney Research Institute, Seoul National University, Seoul, Korea,Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea,Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Korea
| | - Kwon Wook Joo
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea,Kidney Research Institute, Seoul National University, Seoul, Korea,Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
| | - Chun Soo Lim
- Kidney Research Institute, Seoul National University, Seoul, Korea,Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea,Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Korea
| | - Yon Su Kim
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Korea,Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea,Kidney Research Institute, Seoul National University, Seoul, Korea,Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea
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50
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Park S, Lee S, Kim Y, Lee Y, Kang MW, Kim K, Kim YC, Han SS, Lee H, Lee JP, Joo KW, Lim CS, Kim YS, Kim DK. Relation of Poor Handgrip Strength or Slow Walking Pace to Risk of Myocardial Infarction and Fatality. Am J Cardiol 2022; 162:58-65. [PMID: 34903347 DOI: 10.1016/j.amjcard.2021.08.061] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 08/29/2021] [Accepted: 08/31/2021] [Indexed: 12/22/2022]
Abstract
We aimed to investigate a causal effect of functional sarcopenia status, including poor handgrip strength and slow walking pace, on cardiovascular diseases. This study was an observational cohort study including observational analysis and Mendelian randomization. We studied the UK Biobank prospective cohort (n = 324,486) for observational analysis with poor handgrip strength or self-reported slow walking pace as the exposures, investigating risk of myocardial infarction or mortality. Genetic instruments for the exposures were developed in 337,138 individuals of white British ancestries, and coronary artery disease outcome (60,801 cases/123,504 controls) from the independent CARDIoGRAMplustC4D cohort was studied by two-sample Mendelian randomization. The findings were replicated by one-sample analysis by polygenic risk score analysis within the UK Biobank. Both slow walking pace and poor handgrip strength were significantly associated with higher risks of incident myocardial infarction and mortality, particularly from cardiovascular deaths, in the observational investigation. Genetically predicted poor handgrip strength (odds ratio: 1.128 [1.041 to 1.222]) and slow walking pace (odds ratio: 1.171 [1.022 to 1.342]) showed causal effects on the coronary artery disease risks in the independent cohort. The results were again identified by the one-sample Mendelian randomization, as the higher polygenic risk score for poor handgrip strength and slow walking pace was associated with a higher risk of mortality. In conclusion, this study supports the causal effects of slow walking pace and poor handgrip strength on the risks of cardiovascular disease and mortality. The functional sarcopenia status are targetable causative factors for interventions aiming to reduce risks of cardiovascular disease or mortality.
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Affiliation(s)
- Sehoon Park
- Department of Biomedical Sciences; Department of Internal Medicine, Armed Forces Capital Hospital, Gyeonggi-do, Korea
| | - Soojin Lee
- Division of Nephrology, Department of Internal Medicine, Uijeongbu Eulji University Medical Center
| | - Yaerim Kim
- Department of Internal Medicine, Keimyung University School of Medicine, Daegu, Korea
| | - Yeonhee Lee
- Division of Nephrology, Department of Internal Medicine, Uijeongbu Eulji University Medical Center
| | | | - Kwangsoo Kim
- Transdisciplinary Department of Medicine & Advanced Technology, Seoul National University Hospital, Seoul, Korea
| | | | - Seung Seok Han
- Department of Internal Medicine; Kidney Research Institute, Seoul National University, Seoul, Korea
| | - Hajeong Lee
- Department of Internal Medicine; Kidney Research Institute, Seoul National University, Seoul, Korea
| | - Jung Pyo Lee
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea; Kidney Research Institute, Seoul National University, Seoul, Korea; Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Korea
| | - Kwon Wook Joo
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea; Department of Internal Medicine; Kidney Research Institute, Seoul National University, Seoul, Korea
| | - Chun Soo Lim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea; Kidney Research Institute, Seoul National University, Seoul, Korea; Department of Internal Medicine, Seoul National University Boramae Medical Center, Seoul, Korea
| | - Yon Su Kim
- Department of Biomedical Sciences; Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea; Department of Internal Medicine; Kidney Research Institute, Seoul National University, Seoul, Korea
| | - Dong Ki Kim
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea; Department of Internal Medicine; Kidney Research Institute, Seoul National University, Seoul, Korea.
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