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Li X, Zhang X, Wang S, Li Y, Meng C, Wang J, Chang B, Yang J. Simultaneous detection of multiple urinary biomarkers in patients with early-stage diabetic kidney disease using Luminex liquid suspension chip technology. Front Endocrinol (Lausanne) 2024; 15:1443573. [PMID: 39229378 PMCID: PMC11369644 DOI: 10.3389/fendo.2024.1443573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Accepted: 07/30/2024] [Indexed: 09/05/2024] Open
Abstract
Background Several urinary biomarkers have good diagnostic value for diabetic kidney disease (DKD); however, the predictive value is limited with the use of single biomarkers. We investigated the clinical value of Luminex liquid suspension chip detection of several urinary biomarkers simultaneously. Methods The study included 737 patients: 585 with diabetes mellitus (DM) and 152 with DKD. Propensity score matching (PSM) of demographic and medical characteristics identified a subset of 78 patients (DM = 39, DKD = 39). Two Luminex liquid suspension chips were used to detect 11 urinary biomarkers according to their molecular weight and concentration. The biomarkers, including cystatin C (CysC), nephrin, epidermal growth factor (EGF), kidney injury molecule-1 (KIM-1), retinol-binding protein4 (RBP4), α1-microglobulin (α1-MG), β2-microglobulin (β2-MG), vitamin D binding protein (VDBP), tissue inhibitor of metalloproteinases-1 (TIMP-1), tumor necrosis factor receptor-1 (TNFR-1), and tumor necrosis factor receptor-2 (TNFR-2) were compared in the DM and DKD groups. The diagnostic values of single biomarkers and various biomarker combinations for early diagnosis of DKD were assessed using receiver operating characteristic (ROC) curve analysis. Results Urinary levels of VDBP, RBP4, and KIM-1 were markedly higher in the DKD group than in the DM group (p < 0.05), whereas the TIMP-1, TNFR-1, TNFR-2, α1-MG, β2-MG, CysC, nephrin, and EGF levels were not significantly different between the groups. RBP4, KIM-1, TNFR-2, and VDBP reached p < 0.01 in univariate analysis and were entered into the final analysis. VDBP had the highest AUC (0.780, p < 0.01), followed by RBP4 (0.711, p < 0.01), KIM-1 (0.640, p = 0.044), and TNFR-2 (0.615, p = 0.081). However, a combination of these four urinary biomarkers had the highest AUC (0.812), with a sensitivity of 0.742 and a specificity of 0.760. Conclusions The urinary levels of VDBP, RBP4, KIM-1, and TNFR-2 can be detected simultaneously using Luminex liquid suspension chip technology. The combination of these biomarkers, which reflect different mechanisms of kidney damage, had the highest diagnostic value for DKD. However, this finding should be explored further to understand the synergistic effects of these biomarkers.
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Affiliation(s)
- Xinran Li
- National Health Commission (NHC) Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Xinxin Zhang
- National Health Commission (NHC) Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Shenglan Wang
- National Health Commission (NHC) Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Yuan Li
- National Health Commission (NHC) Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Cheng Meng
- National Health Commission (NHC) Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Jingyu Wang
- National Health Commission (NHC) Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Baocheng Chang
- National Health Commission (NHC) Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Juhong Yang
- National Health Commission (NHC) Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
- Department of Endocrinology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China
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Liang Q, Jing J, He H, Huang X, Liu J, Wang M, Qi Z, Zhang L, Huang Z, Yan Y, Liu S, Gao M, Zou Y. Manganese induces podocyte injury through regulating MTDH/ALKBH5/NLRP10 axis: Combined analysis at epidemiology and molecular biology levels. ENVIRONMENT INTERNATIONAL 2024; 187:108672. [PMID: 38648691 DOI: 10.1016/j.envint.2024.108672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 03/01/2024] [Accepted: 04/16/2024] [Indexed: 04/25/2024]
Abstract
Manganese (Mn) is an essential micronutrient required for various biological processes but excess exposure to Mn can cause neurotoxicity. However, there are few reports regarding the toxicity effect of Mn on the kidney as well as the underlying molecule mechanism. Herein, in vivo experiments were adopted to assess the toxicity effects associated with Mn, and found that chronic Mn treatment induced the injury of glomerular podocytes but not renal tubule in rats. Genome-wide CRISPR/Cas9 knockout screen was then employed to explore the biotargets of the toxic effect of Mn on podocytes. Through functional analyses of the enriched candidate genes, NLRP10 was found to be significantly up-regulated and mediated Mn-induced podocyte apoptosis. Further mechanism investigation revealed that NLRP10 expression was regulated by demethylase AlkB homolog 5 (ALKBH5) in an m6A-dependent fashion upon Mn treatment. Moreover, Mn could directly bind to Metadherin (MTDH) and promoted its combination with ALKBH5 to promote NLRP10 expression and cell apoptosis. Finally, logistic regressions, restricted cubic spline regressions and uniform cubic B-spline were used to investigate the association between Mn exposure and the risk of chronic kidney disease (CKD). A U-shaped nonlinear relationship between CKD risk and plasma Mn level, and a positive linear relationship between CKD risk and urinary Mn levels was found in our case-control study. To sum up, our findings illustrated that m6A-dependent NLRP10 regulation is indispensable for podocyte apoptosis and nephrotoxicity induced by Mn, providing fresh insight into understanding the health risk of Mn and a novel target for preventing renal injury in Mn-intoxicated patients.
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Affiliation(s)
- Qiuju Liang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; Department of Pharmacy, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China
| | - Jiajun Jing
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - Huiming He
- School of Public Health, Guangxi Medical University, Nanning 530021, China; Institute of Parasitic Disease Control and Prevention, Guangxi Zhuang Autonomous Region Center for Disease Control and Prevention, Nanning 530021, China
| | - Xiaofeng Huang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100085, China
| | - Jianing Liu
- School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - Mingjun Wang
- Department of Nephrology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China
| | - Zijuan Qi
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; Shandong First Medical University & Shandong Academy of Medical Sciences, Ji'nan 250014, Shandong, China
| | - Li'e Zhang
- School of Public Health, Guangxi Medical University, Nanning 530021, China
| | - Ziang Huang
- Department of Mathematics, University of California at Davis, CA 95616, USA
| | - Yuanliang Yan
- Department of Pharmacy, Xiangya Hospital, Central South University, Changsha 410008, Hunan, China
| | - Sijin Liu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100085, China
| | - Ming Gao
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100085, China.
| | - Yunfeng Zou
- School of Public Health, Guangxi Medical University, Nanning 530021, China.
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Komatsu T, Okumura M, Kida H, Ozawa M, Mimori M, Kokubu T, Takahashi J, Kurihara S, Maku T, Motegi H, Takahashi M, Shiraishi T, Nakada R, Akiyama S, Kitagawa T, Sato T, Takatsu H, Sakai K, Umehara T, Omoto S, Murakami H, Mitsumura H, Iguchi Y. Urinary Immunoglobulin G Is a Novel Biomarker for Atherosclerotic Burden in Mild Acute Ischemic Stroke Patients. J Atheroscler Thromb 2024; 31:306-315. [PMID: 37704430 PMCID: PMC10918045 DOI: 10.5551/jat.64230] [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: 03/03/2023] [Accepted: 07/28/2023] [Indexed: 09/15/2023] Open
Abstract
AIMS Urinary immunoglobulin G (IgG) may be a stronger marker of atherosclerosis than microalbuminuria are because urinary IgG reflects proteinuria level and size-selectivity loss. Microalbuminuria-not urinary IgG-is associated with mild acute ischemic stroke (MAIS). METHODS Using the Jikei University School of Medicine Stroke Registry, we selected and screened patients with symptomatic acute ischemic stroke (onset-to-door time ≤ 24 h). The exclusion criteria were (1) on-admission NIHSS scores >10, (2) a modified Rankin Scale (mRS) score ≥ 2 prior to stroke onset, (3) incomplete data (no urinalysis ≤ 3 days after admission or no mRS score at 90 days from stroke onset), and (4) an active malignancy. Patients at 90 days post-discharge were divided into those with favorable mRS scores of 0-1 and those with unfavorable mRS scores of 2-6. Clinical backgrounds were compared for (1) patients with positive and negative urinary IgG results, and (2) patients with favorable and unfavorable outcomes. RESULTS Of our study's 210 patients (164=male, median age=68, median eGFR=53.2 ml/min/1.73 m2), 30 (14%) presented with positive urinary IgG, which was associated with cardiovascular risk factors. Higher BNP, higher D-dimer, lower eGFR, and higher CAVI were associated with higher positive urinary IgG. The favorable group, comprising 155 (74%) patients, had higher negative urinary IgG than the unfavorable group (89% vs 76%, P=0.026). No statistical difference emerged regarding microalbuminuria (29% vs 29%, P=1.000). CONCLUSION In MAIS, urinary IgG was associated with both the presence of atherosclerosis and an unfavorable outcome at 90 days after stroke onset.
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Affiliation(s)
- Teppei Komatsu
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Motohiro Okumura
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Hiroyuki Kida
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Masakazu Ozawa
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Masahiro Mimori
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Tatsushi Kokubu
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Junichiro Takahashi
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Sumire Kurihara
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Takahiro Maku
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Haruhiko Motegi
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Maki Takahashi
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Tomotaka Shiraishi
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Ryoji Nakada
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Shiho Akiyama
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Tomomichi Kitagawa
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Takeo Sato
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Hiroki Takatsu
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Kenichiro Sakai
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Tadashi Umehara
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Shusaku Omoto
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Hidetomo Murakami
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Hidetaka Mitsumura
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Yasuyuki Iguchi
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
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Xiao L, Xiao H, Zhong Y, Luo Y, Luo H, Wang M. Association between functional constipation and vaginal wind in women at 6 weeks postpartum. Int Urogynecol J 2023; 34:2925-2932. [PMID: 37578617 PMCID: PMC10756862 DOI: 10.1007/s00192-023-05619-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 07/05/2023] [Indexed: 08/15/2023]
Abstract
INTRODUCTION AND HYPOTHESIS The pathogenesis of vaginal wind remains unclear. This study was aimed at assessing the association between functional constipation and vaginal wind in women at 6 weeks postpartum. METHODS This is a multicenter cross-sectional study. We collected data, such as baseline demographic, clinical characteristics, pelvic organ prolapse quantification score. and surface electromyography parameters of pelvic floor muscles, of women at 6 weeks postpartum who visited the postpartum rehabilitation clinic between May 2022 and September 2022. The cohort data were from women who visited the postpartum rehabilitation clinic of the First Affiliated Hospital of Gannan Medical University and the Women and Children's Health Care Hospital of Yudu County. Follow-up for the control and study cohorts was conducted until 6 weeks postpartum. RESULTS Among the 377 women, 101 (26.79%) reported vaginal wind. Multivariate regression analysis showed that postpartum women with functional constipation were at a higher risk for vaginal wind than women without functional constipation (odds ratio [OR], 2.41). The results remained stable across the propensity score analyses (OR, 1.86-2.30). In addition, we found age, body mass index, mode of delivery, changes in the anatomical location of Bp points, urinary incontinence, pelvic floor muscle strength, and birth weight of the neonate were not associated with increased odds of vaginal wind in women at 6 weeks postpartum. CONCLUSIONS Vaginal wind is common among women at 6 weeks postpartum and is associated with functional constipation. Functional constipation may serve as a reference for the pathogenesis, prevention, and treatment of vaginal wind.
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Affiliation(s)
- Li Xiao
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Gannan Medical University, No.128 Jinling Road, Zhanggong District, Ganzhou City, 341000, Jiangxi Province, China
- Ganzhou Key Laboratory of Rehabilitation Medicine, Ganzhou City, Jiangxi Province, China
- Ganzhou Intelligent Rehabilitation Technology Innovation Center, Ganzhou City, Jiangxi Province, China
| | - Huilian Xiao
- Department of Pelvic Floor and Postpartum Rehabilitation, Maternal and Child Health Hospital of Yudu County, Ganzhou City, Jiangxi Province, China
| | - Yanbiao Zhong
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Gannan Medical University, No.128 Jinling Road, Zhanggong District, Ganzhou City, 341000, Jiangxi Province, China
- Ganzhou Key Laboratory of Rehabilitation Medicine, Ganzhou City, Jiangxi Province, China
- Ganzhou Intelligent Rehabilitation Technology Innovation Center, Ganzhou City, Jiangxi Province, China
| | - Yun Luo
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Gannan Medical University, No.128 Jinling Road, Zhanggong District, Ganzhou City, 341000, Jiangxi Province, China
- Ganzhou Key Laboratory of Rehabilitation Medicine, Ganzhou City, Jiangxi Province, China
- Ganzhou Intelligent Rehabilitation Technology Innovation Center, Ganzhou City, Jiangxi Province, China
| | - Huachao Luo
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Gannan Medical University, No.128 Jinling Road, Zhanggong District, Ganzhou City, 341000, Jiangxi Province, China
- Ganzhou Key Laboratory of Rehabilitation Medicine, Ganzhou City, Jiangxi Province, China
- Ganzhou Intelligent Rehabilitation Technology Innovation Center, Ganzhou City, Jiangxi Province, China
| | - Maoyuan Wang
- Department of Rehabilitation Medicine, The First Affiliated Hospital of Gannan Medical University, No.128 Jinling Road, Zhanggong District, Ganzhou City, 341000, Jiangxi Province, China.
- Ganzhou Key Laboratory of Rehabilitation Medicine, Ganzhou City, Jiangxi Province, China.
- Ganzhou Intelligent Rehabilitation Technology Innovation Center, Ganzhou City, Jiangxi Province, China.
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Zhou Y, Zhang Y, Chen J, Wang T, Li H, Wu F, Shang J, Zhao Z. Diagnostic value of α1-MG and URBP in early diabetic renal impairment. Front Physiol 2023; 14:1173982. [PMID: 37929213 PMCID: PMC10621041 DOI: 10.3389/fphys.2023.1173982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Accepted: 10/09/2023] [Indexed: 11/07/2023] Open
Abstract
Aims/Introduction: Diabetic kidney disease (DKD) is defined as diabetes with impaired renal function, elevated urinary albumin excretion, or both. DKD is one of the most common microvascular complications of diabetes and plays an important role in the cause of end-stage renal disease (ESRD). About 5% of people with type 2 diabetes (T2DM) already have kidney damage at the time they are diagnosed, but other triggers of renal insufficiency, such as obesity, hyperlipidemia, glomerular atherosclerosis are often present, making it difficult to define "diabetic kidney disease" or "diabetic nephropathy" precisely in epidemiology or clinical practice. Therefore, the aim of this study is to identify diabetic patients with CKD at an early stage, and evaluate the value of tubular injury markers including α1-microglobulin (α1-MG), β2-microglobulin (β2-MG), N-acetyl-beta-D-glucosaminidase (NAG) and Urinary retinol binding protein (URBP) in the development of diabetes to DKD. Materials and methods: We recruited a total of 182 hospitalized patients with T2DM in the First Affiliated Hospital of Zhengzhou University from February 2018 to April 2023. We collected basic clinical characteristics and laboratory biochemical parameters of the patients. Based on their levels of urinary albumin creatinine ratio (UACR) and glomerular filtration rate (GFR), patients were divided into DM group (UACR≤30 mg/g and eGFR≥90 mL/min/1.73 m2, n = 63) and DKD group (UACR>30 mg/g or eGFR<90 mL/min/1.73 m2, n = 119) excluding other causes of chronic kidney disease. We further developed diagnostic models to improve the ability to predict the risk of developing DKD by screening potential risk factors using univariate and multivariate logistic regression analysis. Calibration plots and curve analysis were used to validate the model and clinical usefulness. Next, we screened patients with relatively normal estimated glomerular filtration rate (eGFR) (≥90 mL/min/1.73 m2) to investigate whether tubular injury markers could accurately predict the risk of DKD in patients with normal renal function. We defined the rate of GFR decline as a prognostic indicator of renal function in patients and collected the information of the re-hospitalized DKD patients to determine whether the relevant indicators had an impact on the renal prognosis. Results: The patients with DKD had higher levels of tubular injury markers than patients with DM. URBP, α1-MG, eGFR were statistically different in both univariate and multivariate logistic regression analyses and displayed great predictive power after modeling with an area under curve of 0.987. The calibration curve showed medium agreement. Decision curve showed it would add more net benefits for clinical decision. After adjusting eGFR and serum creatinine (Scr), URBP was demonstrated to be associated with early renal function impairment. Conclusion: Tubular injury markers play an important role in early diabetic renal function impairment.
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Affiliation(s)
- Yukun Zhou
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- School of Medicine, Zhengzhou University, Zhengzhou, Henan, China
| | - Yiding Zhang
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- School of Medicine, Zhengzhou University, Zhengzhou, Henan, China
| | - Jiaojiao Chen
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- School of Medicine, Zhengzhou University, Zhengzhou, Henan, China
| | - Ting Wang
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- School of Medicine, Zhengzhou University, Zhengzhou, Henan, China
| | - Huangmin Li
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- School of Medicine, Zhengzhou University, Zhengzhou, Henan, China
| | - Feng Wu
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- School of Medicine, Zhengzhou University, Zhengzhou, Henan, China
| | - Jin Shang
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- School of Medicine, Zhengzhou University, Zhengzhou, Henan, China
- Laboratory of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Laboratory Animal Platform of Academy of Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Zhanzheng Zhao
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- School of Medicine, Zhengzhou University, Zhengzhou, Henan, China
- Laboratory of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Laboratory Animal Platform of Academy of Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China
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Zhou H, Mu L, Yang Z, Shi Y. Identification of a novel immune landscape signature as effective diagnostic markers related to immune cell infiltration in diabetic nephropathy. Front Immunol 2023; 14:1113212. [PMID: 36969169 PMCID: PMC10030848 DOI: 10.3389/fimmu.2023.1113212] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 02/22/2023] [Indexed: 03/10/2023] Open
Abstract
Background The study aimed to identify core biomarkers related to diagnosis and immune microenvironment regulation and explore the immune molecular mechanism of diabetic nephropathy (DN) through bioinformatics analysis. Methods GSE30529, GSE99325, and GSE104954 were merged with removing batch effects, and different expression genes (DEGs) were screened at a criterion |log2FC| >0.5 and adjusted P <0.05. KEGG, GO, and GSEA analyses were performed. Hub genes were screened by conducting PPI networks and calculating node genes using five algorithms with CytoHubba, followed by LASSO and ROC analysis to accurately identify diagnostic biomarkers. In addition, two different GEO datasets, GSE175759 and GSE47184, and an experiment cohort with 30 controls and 40 DN patients detected by IHC, were used to validate the biomarkers. Moreover, ssGSEA was performed to analyze the immune microenvironment in DN. Wilcoxon test and LASSO regression were used to determine the core immune signatures. The correlation between biomarkers and crucial immune signatures was calculated by Spearman analysis. Finally, cMap was used to explore potential drugs treating renal tubule injury in DN patients. Results A total of 509 DEGs, including 338 upregulated and 171 downregulated genes, were screened out. "chemokine signaling pathway" and "cell adhesion molecules" were enriched in both GSEA and KEGG analysis. CCR2, CX3CR1, and SELP, especially for the combination model of the three genes, were identified as core biomarkers with high diagnostic capabilities with striking AUC, sensitivity, and specificity in both merged and validated datasets and IHC validation. Immune infiltration analysis showed a notable infiltration advantage for APC co-stimulation, CD8+ T cells, checkpoint, cytolytic activity, macrophages, MHC class I, and parainflammation in the DN group. In addition, the correlation analysis showed that CCR2, CX3CR1, and SELP were strongly and positively correlated with checkpoint, cytolytic activity, macrophages, MHC class I, and parainflammation in the DN group. Finally, dilazep was screened out as an underlying compound for DN analyzed by CMap. Conclusions CCR2, CX3CR1, and SELP are underlying diagnostic biomarkers for DN, especially in their combination. APC co-stimulation, CD8+ T cells, checkpoint, cytolytic activity, macrophages, MHC class I, and parainflammation may participate in the occurrence and development of DN. At last, dilazep may be a promising drug for treating DN.
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Affiliation(s)
- Huandi Zhou
- Department of Pathology, Hebei Medical University, Shijiazhuang, China
- Hebei Key Laboratory of Kidney Disease, Hebei Medical University, Shijiazhuang, Hebei, China
- Department of Radiotherapy, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Lin Mu
- Department of Pathology, Hebei Medical University, Shijiazhuang, China
- Hebei Key Laboratory of Kidney Disease, Hebei Medical University, Shijiazhuang, Hebei, China
- Department of Nephrology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Zhifen Yang
- Department of Pathology, Hebei Medical University, Shijiazhuang, China
- Hebei Key Laboratory of Kidney Disease, Hebei Medical University, Shijiazhuang, Hebei, China
- Gynecology and Obstetrics, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Yonghong Shi
- Department of Pathology, Hebei Medical University, Shijiazhuang, China
- Hebei Key Laboratory of Kidney Disease, Hebei Medical University, Shijiazhuang, Hebei, China
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Meng C, Chen J, Sun X, Guan S, Zhu H, Qin Y, Wang J, Li Y, Yang J, Chang B. Urine Immunoglobin G Greater Than 2.45 mg/L Has a Correlation with the Onset and Progression of Diabetic Kidney Disease: A Retrospective Cohort Study. J Pers Med 2023; 13:jpm13030452. [PMID: 36983632 PMCID: PMC10056169 DOI: 10.3390/jpm13030452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 02/23/2023] [Accepted: 02/26/2023] [Indexed: 03/06/2023] Open
Abstract
Aim: To further assess the correlation between urine immunoglobin G (IgG) greater than 2.45 mg/L and the onset and progression of diabetic kidney disease (DKD). Methods: One thousand and thirty-five patients with type 2 diabetes mellitus (T2DM) were divided into two groups based on the baseline levels of 24 h urinary albumin excretion (24 h UAE): one group with 24 h UAE < 30 mg/24 h and one with 24 h UAE ≥ 30 mg/24 h. The groups were subdivided using baseline levels of urine IgG (≤2.45 mg/L and >2.45 mg/L; hereafter, the Low and High groups, respectively). We used logistic regression to assess the risk of urine IgG and it exceeding 2.45 mg/L. Kaplan–Meier curves were used to compare the onset and progression time of DKD. The receiver operating characteristic curve was used to test the predictive value of urine IgG exceeding 2.45 mg/L. Results: Urine IgG was an independent risk factor for the onset and progression of DKD. The rate and risk of DKD onset and progression at the end of follow-up increased significantly in the High group. The onset and progression time of DKD was earlier in the High group. Urine IgG exceeding 2.45 mg/L has a certain predictive value for DKD onset. Conclusions: Urine IgG exceeding 2.45 mg/L has a correlation with the onset and progression of DKD, and it also has a certain predictive value for DKD onset.
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Affiliation(s)
- Cheng Meng
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin 300134, China
| | - Jiujing Chen
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin 300134, China
| | - Xiaoyue Sun
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin 300134, China
| | - Shilin Guan
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin 300134, China
| | - Hong Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300134, China
| | - Yongzhang Qin
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin 300134, China
| | - Jingyu Wang
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin 300134, China
| | - Yongmei Li
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin 300134, China
| | - Juhong Yang
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin 300134, China
| | - Baocheng Chang
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin 300134, China
- Correspondence:
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8
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Komatsu T, Kida H, Ozawa M, Mimori M, Kokubu T, Takahashi J, Kurihara S, Maku T, Motegi H, Takahashi M, Shiraishi T, Nakada R, Kitagawa T, Sato T, Takatsu H, Sakai K, Umehara T, Omoto S, Murakami H, Mitsumura H, Yokoo T, Iguchi Y. Urinary Immunoglobulin G Is Associated with Deep and Infratentorial Cerebral Microbleeds in Stroke Patients. Cerebrovasc Dis 2022; 52:417-426. [PMID: 36349751 DOI: 10.1159/000527019] [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: 05/04/2022] [Accepted: 09/03/2022] [Indexed: 09/05/2023] Open
Abstract
BACKGROUND Cerebral microbleeds (CMBs) detected on susceptibility-weighted imaging (SWI) are associated with cerebral small vessel disease. Chronic kidney disease and microalbuminuria have been associated with the presence of CMBs in stroke patients. Urinary immunoglobulin G (IgG) is measured to document glomerular injury; however, the relationship between urinary IgG and CMBs is unknown. METHODS We retrospectively enrolled consecutive patients who had been admitted with transient ischemic attack (TIA) or ischemic stroke and identified those who had undergone SWI and a spot urine test. The location of CMBs was classified on magnetic resonance imaging as strictly lobar, deep/infratentorial (D/I), or mixed areas. We analyzed the association between urinary IgG and the presence and location of CMBs. RESULTS We included 298 patients (86 female, median age 70 years, median eGFR 65.8 mL/min/1.73 m2). Positive urinary IgG and CMB results were found in 58 (19%) and 160 patients (54%), respectively. Urinary IgG positivity was significantly associated with CMBs compared with non-CMBs (28% vs. 9%, p < 0.001), and with D/I or mixed CMBs compared with non-D/I or mixed CMBs (34% vs. 10%, p < 0.001). Multivariate analysis revealed that urinary IgG and hypertension positivity were strongly associated with D/I or mixed CMBs (OR 3.479, 95% CI: 1.776-6.818, p < 0.001; OR 3.415, 95% CI: 1.863-6.258, p < 0.001). CONCLUSIONS Urinary IgG was associated with the prevalence of D/I or mixed location CMBs in TIA or ischemic stroke patients. Our findings provide new insights into the association between urinary IgG and the distribution of CMBs.
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Affiliation(s)
- Teppei Komatsu
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Hiroyuki Kida
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Masakazu Ozawa
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Masahiro Mimori
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Tatsushi Kokubu
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Junichiro Takahashi
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Sumire Kurihara
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Takahiro Maku
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Haruhiko Motegi
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Maki Takahashi
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Tomotaka Shiraishi
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Ryoji Nakada
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Tomomichi Kitagawa
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Takeo Sato
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Hiroki Takatsu
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Kenichiro Sakai
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Tadashi Umehara
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Shusaku Omoto
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Hidetomo Murakami
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Hidetaka Mitsumura
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
| | - Takashi Yokoo
- Division of Nephrology and Hypertension, Department of Internal Medicine, The Jikei University School of Medicine, Tokyo, Japan
| | - Yasuyuki Iguchi
- Department of Neurology, The Jikei University School of Medicine, Tokyo, Japan
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9
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Urinary RBP as an Independent Predictor of Renal Outcome in Diabetic Nephropathy. DISEASE MARKERS 2022; 2022:9687868. [PMID: 36299825 PMCID: PMC9592234 DOI: 10.1155/2022/9687868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 09/27/2022] [Indexed: 11/18/2022]
Abstract
Background Renal tubular impairment is prevalent in diabetic nephropathy (DN) and the histological severity predicted renal outcome. Biomarkers of tubular injury also increased in the urine of DN patients. The retrospective study aimed to assess the prognostic value of clinically widely applied urinary tubular injury markers, retinol-binding protein (RBP), β2-microglobulin (β2-MG) and N-acetyl-β-D-glucosaminidase (NAG) in DN. Method A total of 305 patients with biopsy-proven DN were enrolled. The baseline urine total protein and components including albumin, IgG, RBP, β2-MG and NAG were retrieved from medical records. The primary outcome was end stage renal disease (ESRD). Cox proportional hazard analysis and restricted cubic splines were performed to evaluate the association of parameters with ESRD. Nomograms were constructed and concordance index (C-index) was used to measure the prediction ability. Result The levels of urinary RBP, β2-MG and NAG were positively correlated with the severity of interstitial fibrosis and tubular atrophy (IFTA). Positive correlations were also observed among β2-MG, NAG and mesangial expansion. Urinary RBP was not correlated with any glomerular lesions. Urinary RBP, β2-MG and NAG were risk factors for ESRD in hazard analysis with adjustment for age, gender and body mass index (BMI). The hazard ratios increased with the increment of baseline levels. In the multivariate Cox model including serum creatinine (SCr), total urinary protein, urinary albumin, urinary IgG and the tubular injury biomarkers, urinary RBP (with every g/mol.Cr increase: HR 1.06, 95% CI 1.03-1.10, p =0.001) remained as an independent risk factor for ESRD in DN patients. Patients were divided by the medium value of urinary RBP into the low RBP and high RBP groups. Survival analysis showed that significantly more patients in the high RBP progressed to ESRD compared to those in the low RBP group (p =0.02) when urinary total protein was less than 3.5 g/g. The C-index of the nomogram incorporating age, gender, BMI, SCr and total urine protein was 0.757. The value increased to 0.777 after adding urinary RBP to the model. Conclusions Urinary RBP excretion was only correlated with the severity of IFTA and independently predicted ESRD in DN patients.
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Khanijou V, Zafari N, Coughlan MT, MacIsaac RJ, Ekinci EI. Review of potential biomarkers of inflammation and kidney injury in diabetic kidney disease. Diabetes Metab Res Rev 2022; 38:e3556. [PMID: 35708187 PMCID: PMC9541229 DOI: 10.1002/dmrr.3556] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2021] [Revised: 02/18/2022] [Accepted: 04/02/2022] [Indexed: 11/17/2022]
Abstract
Diabetic kidney disease is expected to increase rapidly over the coming decades with rising prevalence of diabetes worldwide. Current measures of kidney function based on albuminuria and estimated glomerular filtration rate do not accurately stratify and predict individuals at risk of declining kidney function in diabetes. As a result, recent attention has turned towards identifying and assessing the utility of biomarkers in diabetic kidney disease. This review explores the current literature on biomarkers of inflammation and kidney injury focussing on studies of single or multiple biomarkers between January 2014 and February 2020. Multiple serum and urine biomarkers of inflammation and kidney injury have demonstrated significant association with the development and progression of diabetic kidney disease. Of the inflammatory biomarkers, tumour necrosis factor receptor-1 and -2 were frequently studied and appear to hold most promise as markers of diabetic kidney disease. With regards to kidney injury biomarkers, studies have largely targeted markers of tubular injury of which kidney injury molecule-1, beta-2-microglobulin and neutrophil gelatinase-associated lipocalin emerged as potential candidates. Finally, the use of a small panel of selective biomarkers appears to perform just as well as a panel of multiple biomarkers for predicting kidney function decline.
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Affiliation(s)
- Vuthi Khanijou
- Melbourne Medical SchoolUniversity of MelbourneAustin HealthMelbourneVictoriaAustralia
| | - Neda Zafari
- Department of MedicineUniversity of MelbourneAustin HealthMelbourneVictoriaAustralia
| | - Melinda T. Coughlan
- Department of DiabetesCentral Clinical SchoolMonash UniversityAlfred Medical Research AllianceMelbourneVictoriaAustralia
- Baker Heart & Diabetes InstituteMelbourneVictoriaAustralia
| | - Richard J. MacIsaac
- Department of Endocrinology & DiabetesSt. Vincent's Hospital Melbourne and University of MelbourneMelbourneVictoriaAustralia
| | - Elif I. Ekinci
- Melbourne Medical SchoolUniversity of MelbourneAustin HealthMelbourneVictoriaAustralia
- Department of EndocrinologyAustin HealthMelbourneVictoriaAustralia
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11
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Liu Q, Zong R, Li H, Yin X, Fu M, Yao L, Sun J, Yang F. Distribution of urinary N-acetyl-beta-D-glucosaminidase and the establishment of reference intervals in healthy adults. J Clin Lab Anal 2021; 35:e23748. [PMID: 33709460 PMCID: PMC8128320 DOI: 10.1002/jcla.23748] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 02/17/2021] [Accepted: 02/22/2021] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Urinary N-acetyl-beta-D-glucosaminidase (NAG) plays an important role in the early diagnosis and progression of diseases related to renal tubular injury. We detected the urinary NAG concentration, assessed the preliminary statistics of its distribution, and established reference intervals for healthy adults in China using the rate method. METHODS A total of 1,095 reference individuals (aged 20 to 79 years) met the requirements for inclusion in this study. Urinary NAG concentrations were detected using an AU5800 automatic biochemical analyzer with its matched reagents. The Kolmogorov-Smirnov test was used to analyze the normality of the data. According to the guidelines of C28-A3 and WS/T 402-2012, the reference intervals of urinary NAG were established using the nonparametric percentile method (unilateral 95th percentile). RESULTS The urinary NAG data showed a non-normal distribution. The distribution of urinary NAG was significantly different by sex and age. Therefore, the reference intervals of urinary NAG were established using the rate method: males (aged 20-59 years) <19.4 U/L (90% CI: 18.0-20.3 U/L); males (aged 60-79 years) <22.3 U/L (90% CI: 20.2-22.6 U/L); females (aged 20-59 years) <15.7 U/L (90% CI: 15.2-16.5 U/L); and females (aged 60-79 years) <21.4 U/L (90% CI: 20.3-22.3 U/L). CONCLUSIONS We established preliminary reference intervals of urinary NAG for healthy adults in China to provide guidance for health screening, auxiliary diagnosis, and treatment monitoring of renal tubule-related diseases.
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Affiliation(s)
- Qian Liu
- Department of Laboratory Medicine, The Second People's Hospital of Lianyungang, Lianyungang, China
| | - Ruyuan Zong
- Department of Laboratory Medicine, The Second People's Hospital of Lianyungang, Lianyungang, China
| | - Huan Li
- Department of Laboratory Medicine, The Second People's Hospital of Lianyungang, Lianyungang, China
| | - Xiaoxiao Yin
- Department of Laboratory Medicine, The Second People's Hospital of Lianyungang, Lianyungang, China
| | - Mei Fu
- Department of Laboratory Medicine, The Second People's Hospital of Lianyungang, Lianyungang, China
| | - Li Yao
- Department of Laboratory Medicine, The Second People's Hospital of Lianyungang, Lianyungang, China
| | - Jin Sun
- Department of Laboratory Medicine, The Second People's Hospital of Lianyungang, Lianyungang, China
| | - Fumeng Yang
- Department of Laboratory Medicine, The Second People's Hospital of Lianyungang, Lianyungang, China
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12
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Phanish MK, Chapman AN, Yates S, Price R, Hendry BM, Roderick PJ, Dockrell MEC. Evaluation of Urinary Biomarkers of Proximal Tubular Injury, Inflammation, and Fibrosis in Patients With Albuminuric and Nonalbuminuric Diabetic Kidney Disease. Kidney Int Rep 2021; 6:1355-1367. [PMID: 34013114 PMCID: PMC8116913 DOI: 10.1016/j.ekir.2021.01.012] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Revised: 11/27/2020] [Accepted: 01/11/2021] [Indexed: 10/31/2022] Open
Abstract
Introduction Albuminuric and nonalbuminuric pathways contribute to diabetic kidney disease. Proximal tubule and inflammation play important roles in these processes. Urinary biomarker(s) to detect early kidney damage and predict progression are needed. Methods Nine urinary biomarkers were measured at baseline in 400 patients with diabetes. Correlation and multivariate logistic and linear regression analyses were performed to assess the association of biomarkers with chronic kidney disease and progression. Results In the albumin/creatinine ratio (ACR) <3 cohort, the only biomarker significantly associated with estimated glomerular filtration rate < 60 ml/min was N-acetyl-β-d-glucosaminidase. A combination of ACR and monocyte chemoattractant protein 1 (MCP1) were significantly associated with stage 2 chronic kidney disease in this cohort. Logistic models showed that in patients with all levels of albuminuria, ACR, retinol binding protein (RBP), and MCP1 were associated with progression. A model including MCP1, interleukin 6, and neutrophil gelatinase-associated lipocalin showed significant association with progression to chronic kidney disease 3/4 in the ACR <3 cohort. Linear mixed-model regression analyses demonstrated MCP1, RBP, and ACR as significant proteins associated with progression to stage 3 or worse, whereas MCP1 was the only significant biomarker in the ACR <3 cohort. Time-to-event and Cox proportional hazard models confirmed significant hazard ratios for progression for ACR, RBP, and MCP1, with significant differences noted between quantiles of biomarkers for ACR, RBP, and MCP1. Conclusion In this study of diabetic patients with single baseline measurements of urinary biomarkers, albumin, RBP, and MCP1 were significantly associated with chronic kidney disease progression at all levels of albuminuria. Inflammatory cytokines, neutrophil gelatinase-associated lipocalin, and MCP1 were associated with progression in patients without albuminuria. N-acetyl-β-d-glucosaminidase demonstrated a significant association with an estimated glomerular filtration rate < 60 ml/min in the ACR <3 cohort.
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Affiliation(s)
- Mysore K Phanish
- South West Thames Institute for Renal Research, Renal Unit, St Helier Hospital, Carshalton, London, UK.,Renal Unit, Epsom and St Helier University Hospitals National Health Service Trust, St Helier Hospital, Carshalton, London, UK.,Institute of Cardiovascular and Cell Sciences, St Georges' University of London, London, UK
| | - Andrew N Chapman
- South West Thames Institute for Renal Research, Renal Unit, St Helier Hospital, Carshalton, London, UK.,Statistics Advisory Service, University of Bath, Bath, UK
| | - Sarah Yates
- South West Thames Institute for Renal Research, Renal Unit, St Helier Hospital, Carshalton, London, UK
| | - Robert Price
- Department of Nutrition and Dietetics, Kings College London, London, UK
| | - Bruce M Hendry
- South West Thames Institute for Renal Research, Renal Unit, St Helier Hospital, Carshalton, London, UK.,Renal Sciences, Department of Inflammation Biology, Kings College London, London, UK
| | - Paul J Roderick
- Department of Public Health, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Mark E C Dockrell
- South West Thames Institute for Renal Research, Renal Unit, St Helier Hospital, Carshalton, London, UK.,Institute of Cardiovascular and Cell Sciences, St Georges' University of London, London, UK
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13
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Gao Z, Wang Z, Zhu H, Yuan X, Sun M, Wang J, Zuo M, Cui X, Han Y, Zhang Y, Yang S, Qin Y, Xu J, Yang J, Chang B. Hyperinsulinemia contributes to impaired-glucose-tolerance-induced renal injury via mir-7977/SIRT3 signaling. Ther Adv Chronic Dis 2020; 11:2040622320916008. [PMID: 32523663 PMCID: PMC7236569 DOI: 10.1177/2040622320916008] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Accepted: 03/03/2020] [Indexed: 01/23/2023] Open
Abstract
Background: Increasing evidence indicates that impaired glucose tolerance (IGT) is independently associated with chronic kidney disease, but the characteristics and underlying mechanisms remain largely unknown. Methods: Here, the cross-sectional study was performed to study the characteristics of IGT-induced renal injury (IGT-RI). Furthermore, urine microRNA profile was evaluated and microRNAs involved in tubular injury were determined by in-vitro experiments. Results: It was found that 12.1% of IGT patients had microalbuminuria, which we termed “IGT-RI.” Overall, 100% of patients with IGT-RI exhibited reabsorption dysfunction and 58.3% had structural damage in the renal tubules. Two-hour postprandial insulin, retinol-binding protein, and N-acetyl-β-glucosaminidase were significantly associated with microalbuminuria and they were independent risk factors for IGT-RI. The expression of mir-7977 was altered in IGT-RI patients and may be involved in cellular response to oxidative stress. In proximal tubule epithelial cells in vitro, a high level of insulin increased the expression of mir-7977 and decreased that of sirtuin 3 (SIRT3), leading to oxidative stress. Overexpression of mir-7977 further decreased SIRT3 expression, whereas inhibition of mir-7977 had the opposite effect. Furthermore, mir-7977 can bind to the 3′-untranslated region of SIRT3 mRNA and inhibit its expression. Moreover, inhibition of SIRT3 reduced the expression of cubilin and the endocytosis of albumin. Conclusions: In conclusion, IGT-RI mainly manifests as tubular injury, especially reabsorption dysfunction. Compensatory hyperinsulinemia may be involved. A high level of insulin can activate mir-7977/SIRT3 signaling, resulting in tubular injury by inducing oxidative stress as well as reabsorption dysfunction by inhibiting the expression of cubilin, ultimately contributing to IGT-RI.
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Affiliation(s)
- Zhongai Gao
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin, China
| | - Ziyan Wang
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin, China
| | - Hong Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Xinxin Yuan
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin, China
| | - Mengdi Sun
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin, China
| | - Jingyu Wang
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin, China
| | - Minxia Zuo
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin, China
| | - Xiao Cui
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin, China
| | - Ying Han
- Department of Endocrinology, Tianjin Haibin People's Hospital, Tianjin, China
| | - Yi Zhang
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin, China
| | - Shaohua Yang
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin, China
| | - Yongzhang Qin
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin, China
| | - Jie Xu
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin, China
| | - Juhong Yang
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin 300134, China
| | - Baocheng Chang
- NHC Key Laboratory of Hormones and Development (Tianjin Medical University), Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital & Tianjin Institute of Endocrinology, Tianjin 300134, China
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