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Nishikawa S, Kasuno K, Nishimori K, Shimamoto Y, Nishikawa Y, Kobayashi M, Yokoi S, Takahashi N, Kimura H, Ono T, Muso E, Yoshida H, Irani K, Yodoi J, Namba F, Iwano M, Toyama T. Prolonged depletion of renal tubular thioredoxin following severe acute kidney injury is associated with transition to chronic kidney disease via G2/M cell cycle arrest. Biochem Biophys Res Commun 2025; 754:151425. [PMID: 40023991 DOI: 10.1016/j.bbrc.2025.151425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2024] [Revised: 01/20/2025] [Accepted: 01/28/2025] [Indexed: 03/04/2025]
Abstract
Acute kidney injury (AKI) is a potentially life-threatening event, particularly when there is transition from AKI to chronic kidney disease (CKD). Thioredoxin (TRX) is a key regulator of the intracellular redox environment. Among its redox-sensitive target proteins is the G2/M cell cycle regulator cell division cycle 25 C (Cdc25C). After AKI, tubular TRX levels are decreased, while urinary levels are increased. The aim of this study was to investigate the impact of tubular TRX depletion on AKI-to-CKD transition in mouse models of mild and severe AKI and in renal epithelial cell lines. Mice with severe AKI from reperfusion after 30 min of ischemia showed prolonged tubular TRX depletion with increased urinary TRX excretion and impaired TRX mRNA synthesis. After mild AKI (10 min-ischemia and reperfusion), urinary TRX excretion was limited and tubular TRX levels quickly recovered with marked TRX mRNA synthesis. In mice with severe AKI, phosphorylation and cytoplasmic translocation of Cdc25C and cell cycle arrest at G2/M phase were observed. In addition, levels of the profibrotic factors transforming growth factor beta and connective tissue growth factor were increased, suggesting progression of AKI-to-CKD transition. Treatment with TRX inducers or TRX overexpression ameliorated AKI-induced Cdc25C-mediated G2/M arrest and progression of AKI-to-CKD transition. Redox-dependent G2/M arrest and increased levels of profibrotic factors were also observed in renal epithelial cells after treatment with TRX reductase inhibitors or TRX knockdown. These findings suggest that tubular TRX depletion after severe AKI is associated with redox-dependent G2/M arrest and progression of AKI-to-CKD transition.
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Affiliation(s)
- Sho Nishikawa
- Department of Nephrology, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Kenji Kasuno
- Department of Nephrology, Faculty of Medical Sciences, University of Fukui, Fukui, Japan.
| | - Kazuhisa Nishimori
- Department of Nephrology, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Yuki Shimamoto
- Department of Nephrology, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Yudai Nishikawa
- Department of Nephrology, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Mamiko Kobayashi
- Department of Nephrology, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Seiji Yokoi
- Department of Nephrology, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Naoki Takahashi
- Department of Nephrology, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Hideki Kimura
- Department of Clinical Laboratory, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Takahiko Ono
- Department of Nephrology, Amagasaki Eijinkai Hospital, Hyogo, Japan
| | - Eri Muso
- Department of Food and Nutrition, Faculty of Contemporary Home Economics, Kyoto Kacho University, Kyoto, Japan
| | - Haruyoshi Yoshida
- Department of Internal Medicine, Sugita Genpaku Memorial Obama Municipal Hospital, Fukui, Japan
| | - Kaikobad Irani
- Division of Cardiovascular Medicine, Department of Medicine, Abboud Cardiovascular Research Center, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - Junji Yodoi
- Department of Biological Responses, Institute for Virus Research, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Fumihiko Namba
- Department of Pediatrics Saitama Medical Center, Saitama Medical University, Saitama, Japan
| | - Masayuki Iwano
- Department of Nephrology, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
| | - Tadashi Toyama
- Department of Nephrology, Faculty of Medical Sciences, University of Fukui, Fukui, Japan
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Duin LK, Fontanella F, Groen H, Adama van Scheltema PN, Cohen-Overbeek TE, Pajkrt E, Bekker M, Willekes C, Bax CJ, Oepkes D, Bilardo CM. Prediction model of postnatal renal function in fetuses with lower urinary tract obstruction (LUTO)-Development and internal validation. Prenat Diagn 2019; 39:1235-1241. [PMID: 31659787 DOI: 10.1002/pd.5573] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Revised: 08/30/2019] [Accepted: 09/07/2019] [Indexed: 01/12/2023]
Abstract
OBJECTIVE To develop a prediction model of postnatal renal function in fetuses with lower urinary tract obstruction (LUTO) based on fetal ultrasound parameters and amniotic fluid volume. METHODS Retrospective nationwide cohort study of fetuses with postnatally confirmed LUTO and known eGFR. Fetuses treated with fetal interventions such as vesico-amniotic shunting or cystoscopy were excluded. Logistic regression analysis was used to identify prognostic ultrasound variables with respect to renal outcome following multiple imputation of missing data. On the basis of these fetal renal parameters and amniotic fluid volume, a model was developed to predict postnatal renal function in fetuses with LUTO. The main study outcome was an eGFR less than 60 mL/min * 1.73 m2 based on the creatinine nadir during the first year following diagnosis. Model performance was evaluated by receiver operator characteristic (ROC) curve analysis, calibration plots, and bootstrapping. RESULTS Hundred one fetuses with a confirmed diagnosis of LUTO were included, eGFR less than 60 was observed in 40 (39.6%) of them. Variables predicting an eGFR less than 60 mL/min * 1.73m2 included the following sonographic parameters: hyperechogenicity of the renal cortex and abnormal amniotic fluid volume. The model showed fair discrimination, with an area under the ROC curve of 0.70 (95% confidence interval, 0.59-0.81, 0.66 after bootstrapping) and was overall well-calibrated. CONCLUSION This study shows that a prediction model incorporating ultrasound parameters such as cortical appearance and abnormal amniotic fluid volume can fairly discriminate an eGFR above or below 60 mL/min * 1.73m2 . This clinical information can be used in identifying fetuses eligible for prenatal interventions and improve counseling of parents.
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Affiliation(s)
- Leonie K Duin
- Department of Obstetrics, Gynaecology and Prenatal Diagnosis, University Medical Center Groningen, Groningen, The Netherlands
| | - Federica Fontanella
- Department of Obstetrics, Gynaecology and Prenatal Diagnosis, University Medical Center Groningen, Groningen, The Netherlands
| | - Henk Groen
- Department of Epidemiology, University Medical Center Groningen, Groningen, The Netherlands
| | - Phebe N Adama van Scheltema
- Department of Obstetrics, Gynaecology and Prenatal Diagnosis, Leiden University Medical Center, Leiden, The Netherlands
| | - Titia E Cohen-Overbeek
- Department of Obstetrics, Gynaecology and Prenatal Diagnosis, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Eva Pajkrt
- Department of Obstetrics, Academic Medical Center Amsterdam, Amsterdam, The Netherlands
| | - Mireille Bekker
- Department of Obstetrics, Gynaecology and Prenatal Diagnosis, Radboud University Medical Center, Nijmegen, The Netherlands.,Department of Obstetrics, Gynaecology and Prenatal Diagnosis, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Christine Willekes
- Department of Obstetrics, Gynaecology and Prenatal Diagnosis, University Medical Center, Grow School for Oncology and Medical Biology, Maastricht, The Netherlands
| | - Caroline J Bax
- Department of Obstetrics, Gynaecology and Prenatal Diagnosis, VU University Medical Center, Amsterdam, The Netherlands.,Department of Obstetrics, Gynaecology and Prenatal Diagnosis, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Dick Oepkes
- Department of Obstetrics, Gynaecology and Prenatal Diagnosis, Leiden University Medical Center, Leiden, The Netherlands
| | - Caterina M Bilardo
- Department of Obstetrics, Gynaecology and Prenatal Diagnosis, University Medical Center Groningen, Groningen, The Netherlands.,Department of Obstetrics, Gynaecology and Prenatal Diagnosis, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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Troth SP, Simutis F, Friedman GS, Todd S, Sistare FD. Kidney Safety Assessment: Current Practices in Drug Development. Semin Nephrol 2019; 39:120-131. [DOI: 10.1016/j.semnephrol.2018.12.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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Qu Y, An F, Luo Y, Lu Y, Liu T, Zhao W, Lin B. A nephron model for study of drug-induced acute kidney injury and assessment of drug-induced nephrotoxicity. Biomaterials 2017; 155:41-53. [PMID: 29169037 DOI: 10.1016/j.biomaterials.2017.11.010] [Citation(s) in RCA: 56] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2017] [Revised: 11/05/2017] [Accepted: 11/12/2017] [Indexed: 01/19/2023]
Abstract
In this study, we developed a multilayer microfluidic device to simulate nephron, which was formed by "glomerulus", "Bowman's capsule", "proximal tubular lumen" and "peritubular capillary". In this microdevice, artificial renal blood flow was circulating and glomerular filtrate flow was single passing through, mimicking the behavior of a nephron. In this dynamic artificial nephron, we observed typical renal physiology, including the glomerular size-selective barrier, glomerular basement membrane charge-selective barrier, glucose reabsorption and para-aminohippuric acid secretion. To demonstrate the capability of our microdevice, we used it to investigate the pathophysiology of drug-induced acute kidney injury (AKI) and give assessment of drug-induced nephrotoxicity, with cisplatin and doxorubicin as model drugs. In the experiment, we loaded the doxorubicin or cisplatin in the "renal blood flow", recorded the injury of primary glomerular endothelial cells, podocytes, tubular epithelial cells and peritubular endothelial cells by fluorescence imaging, and identified the time-dependence, dose-dependence and the death order of four types of renal cells. Then by measuring multiple biomarkers, including E-cadherin, VEGF, VCAM-1, Nephrin, and ZO-1, we studied the mechanism of cell injuries caused by doxorubicin or cisplatin. Also, we investigated the effect of BSA in the "renal blood flow" on doxorubicin-or-cisplatin-induced nephrotoxicity, and found that BSA enhanced the tight junctions between cells and eased cisplatin-induced nephrotoxicity. In addition, we compared the nephron model and traditional tubule models for assessment of drug-induced nephrotoxicity. And it can be inferred that our biomimetic microdevice simulated the complex, dynamic microenvironment of nephron, yielded abundant information about drug-induced-AKI at the preclinical stage, boosted the drug safety evaluation, and provided a reliable reference for clinical therapy.
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Affiliation(s)
- Yueyang Qu
- State Key Laboratory of Fine Chemicals, Department of Chemical Engineering & School of Pharmaceutical Science and Technology, Dalian University of Technology, Dalian, China
| | - Fan An
- Institute of Cancer Stem Cell, Dalian Medical University, China
| | - Yong Luo
- State Key Laboratory of Fine Chemicals, Department of Chemical Engineering & School of Pharmaceutical Science and Technology, Dalian University of Technology, Dalian, China.
| | - Yao Lu
- Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
| | - Tingjiao Liu
- College of Stomatology, Dalian Medical University, Dalian, China
| | - Weijie Zhao
- State Key Laboratory of Fine Chemicals, Department of Chemical Engineering & School of Pharmaceutical Science and Technology, Dalian University of Technology, Dalian, China
| | - Bingcheng Lin
- State Key Laboratory of Fine Chemicals, Department of Chemical Engineering & School of Pharmaceutical Science and Technology, Dalian University of Technology, Dalian, China
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