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Ma J, Yiu WH, Tang SCW. Complement anaphylatoxins: Potential therapeutic target for diabetic kidney disease. Diabet Med 2025; 42:e15427. [PMID: 39189098 PMCID: PMC11733663 DOI: 10.1111/dme.15427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Revised: 08/01/2024] [Accepted: 08/05/2024] [Indexed: 08/28/2024]
Abstract
Diabetic kidney disease (DKD) is the most common cause of kidney failure, characterized by chronic inflammation and fibrosis. The complement system is increasingly implicated in the development and progression of diabetic nephropathy. The important complement anaphylatoxins C3a and C5a are key mediators of the innate immune system, which regulates cellular inflammation, oxidative stress, mitochondrial homeostasis and tissue fibrosis. This review summarizes the involvement of anaphylatoxins in the pathogenesis of diabetic kidney disease, highlights their important roles in the pathophysiologic changes of glomerulopathy, tubulointerstitial damage and immune cell infiltration, and discusses the modulatory effects of new anti-diabetic drugs acting on the complement system. Based on available clinical data and findings from the preclinical studies of complement blockade, anaphylatoxin-targeted therapeutics may become a promising approach for patients with DKD in the future.
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Affiliation(s)
- Jingyuan Ma
- Division of Nephrology, Department of Medicine, School of Clinical MedicineThe University of Hong Kong, Queen Mary HospitalHong KongChina
| | - Wai Han Yiu
- Division of Nephrology, Department of Medicine, School of Clinical MedicineThe University of Hong Kong, Queen Mary HospitalHong KongChina
| | - Sydney C. W. Tang
- Division of Nephrology, Department of Medicine, School of Clinical MedicineThe University of Hong Kong, Queen Mary HospitalHong KongChina
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Yang Y, Zhang Y, Li Y, Zhou X, Honda K, Kang D, Wang M, Yang JH, Xia Z, Wei Y, Liu L, Hu R, Takaki T, Xing G. Complement classical and alternative pathway activation contributes to diabetic kidney disease progression: a glomerular proteomics on kidney biopsies. Sci Rep 2025; 15:495. [PMID: 39753879 PMCID: PMC11698715 DOI: 10.1038/s41598-024-84900-4] [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: 08/18/2024] [Accepted: 12/30/2024] [Indexed: 01/06/2025] Open
Abstract
Increasing evidence points toward an essential role for complement activation in the pathogenesis of diabetic kidney disease (DKD). However, the precise molecular mechanisms remain unclear, and the pathway predominantly contributing to complement activation in DKD is of particular interest. In this study, the glomerular proteome, especially the profiles of the complement proteins, was analyzed in kidney biopsies from 40 DKD patients and 10 normal controls using laser microdissection-assisted liquid chromatography-tandem mass spectrometry (LMD-LC-MS/MS). The glomerular abundances of three proteins related to classical pathway (CP) (C1q, C1r, C1s), five proteins related to alternative pathway (AP) (CFB, CFH, CFHR1, CFHR3, CFHR5), one common protein related to CP and lectin pathway (LP) (C4), and six proteins related to terminal complement pathway (C3, C5, C6, C7, C8, C9) were significantly increased in DKD. Notably, none of the proteins unique to the lectin complement pathway, including mannose-binding lectin (MBL) and its associated proteins, were detected in DKD glomeruli. Furthermore, the glomerular complement proteins of CP and AP were positively correlated with glomerular pathological grades and proteinuria, and negatively correlated with eGFR in DKD patients. Our results highlight a critical role for complement activation of the CP and AP, rather than the LP, in DKD progression.
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Affiliation(s)
- Yang Yang
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, No.1 East Jianshe Road, Erqi District, Zhengzhou, 450052, China
| | - Ying Zhang
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, No.1 East Jianshe Road, Erqi District, Zhengzhou, 450052, China
| | - Yuan Li
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, No.1 East Jianshe Road, Erqi District, Zhengzhou, 450052, China
| | - Xinjin Zhou
- Renal Path Diagnostics at Pathologists BioMedical Laboratories, Lewisville, TX, USA
| | - Kazuho Honda
- Department of Anatomy, Showa University School of Medicine, Tokyo, Japan
| | - Dedong Kang
- Department of Anatomy, Showa University School of Medicine, Tokyo, Japan
| | - Muxi Wang
- Boston University Medical Campus, Boston, USA
| | - Jing-Hua Yang
- Clinical Systems Biology Laboratories, Translational Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zongping Xia
- Clinical Systems Biology Laboratories, Translational Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yuan Wei
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, No.1 East Jianshe Road, Erqi District, Zhengzhou, 450052, China
| | - Lu Liu
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, No.1 East Jianshe Road, Erqi District, Zhengzhou, 450052, China
| | - Ruimin Hu
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, No.1 East Jianshe Road, Erqi District, Zhengzhou, 450052, China
| | - Takashi Takaki
- Department of Anatomy, Showa University School of Medicine, Tokyo, Japan
| | - Guolan Xing
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, No.1 East Jianshe Road, Erqi District, Zhengzhou, 450052, China.
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Tzeng YL, Esposito DLA, Nederveld AG, Hardison RL, Carter AM, Stephens DS, Norris Turner A, Bazan JA, Edwards JL. The Neisseria meningitidis urethritis clade (NmUC) acts as a "chimeric pathogen" during infection of primary, human male, urethral epithelial cells. J Infect Dis 2024:jiae604. [PMID: 39657012 DOI: 10.1093/infdis/jiae604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2024] [Revised: 11/22/2024] [Accepted: 12/03/2024] [Indexed: 12/17/2024] Open
Abstract
BACKGROUND Clusters of male urethritis cases, caused by a novel clade of non-groupable Neisseria meningitidis (NmUC, "the clade"), have been reported globally. Genetic features unique to NmUC isolates include: the acquisition of the gonococcal denitrification loci, norB-aniA; a unique factor H binding protein (fHbp) variant; and loss of group C capsule and intrinsic lipooligosaccharide sialylation. We hypothesized that these characteristics might confer a colonization and survival advantage to NmUC during male urethral infection relative to non-clade group C Neisseria meningitidis. METHODS NmUC, gonococcal, and non-clade meningococcal strains were comparatively evaluated in primary, human male, urethral epithelial cell (UEC) infection studies. RESULTS NmUC strains were approximately six times more invasive in UECs than the gonococcal strains tested, which could not be attributed to loss of capsule expression alone. Whereas gonococci and NmUC strains survived and proliferated within UECs, negligible survival was observed for non-clade meningococcal strains. NmUC adherence to, invasion of, and survival within UECs was significantly decreased when host receptors known to mediate gonococcal or meningococcal interactions with epithelial cells were blocked. Infection studies indicated that fHbp contributes to clade survival independent of its ability to bind extracellular factor H, and the gonococcal denitrification pathway, particularly NorB, plays an important role in promoting clade intracellular survival. CONCLUSIONS Whereas mechanisms used by NmUC to infect UECs are shared with other neisserial strains, hybrid mechanisms unique to the clade also mediate infection and allow adaptation to the male urethra. Thus, NmUC is a "chimeric pathogen", displaying facets of gonococcal and meningococcal pathogenesis.
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Affiliation(s)
- Yih-Ling Tzeng
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia 30322 USA
| | - Danillo L A Esposito
- Center for Microbial Pathogenesis, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio 43205 USA
| | - Andrew G Nederveld
- Center for Microbial Pathogenesis, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio 43205 USA
| | - Rachael L Hardison
- Center for Microbial Pathogenesis, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio 43205 USA
| | - Alexandria M Carter
- Division of Infectious Diseases, The Ohio State University College of Medicine, Columbus, Ohio 43210 USA
| | - David S Stephens
- Division of Infectious Diseases, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia 30322 USA
- Department of Microbiology and Immunology, Emory University School of Medicine, Atlanta, Georgia 30322 USA
| | - Abigail Norris Turner
- Division of Infectious Diseases, The Ohio State University College of Medicine, Columbus, Ohio 43210 USA
- Division of Epidemiology, The Ohio State University College of Public Health, Columbus, Ohio 43210 USA
| | - Jose A Bazan
- Division of Infectious Diseases, The Ohio State University College of Medicine, Columbus, Ohio 43210 USA
| | - Jennifer L Edwards
- Center for Microbial Pathogenesis, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, Ohio 43205 USA
- Department of Pediatrics, The Ohio State University College of Medicine, Columbus, Ohio 43205 USA
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Yun D, Bae S, Gao Y, Lopez L, Han D, Nicora CD, Kim TY, Moon KC, Kim DK, Fillmore TL, Kim YS, Rosenberg AZ, Wang W, Sarder P, Qian WJ, Afkarian M, Han SS. Urine complement proteins are associated with kidney disease progression of type 2 diabetes in Korean and American cohorts. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.08.15.24312080. [PMID: 39211860 PMCID: PMC11361241 DOI: 10.1101/2024.08.15.24312080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
Background Mechanisms of progression of diabetic kidney disease (DKD) are not completely understood. This study uses untargeted and targeted mass spectrometry-based proteomics in two independent cohorts on two continents to decipher the mechanisms of DKD in patients with type 2 diabetes. Methods We conducted untargeted mass spectrometry on urine samples collected at the time of kidney biopsy from Korean patients with type 2 diabetes and biopsy-proven diabetic nephropathy at Seoul National University Hospital (SNUH-DN cohort; n = 64). These findings were validated using targeted mass spectrometry in urine samples from a Chronic Renal Insufficiency Cohort subgroup with type 2 diabetes and DKD (CRIC-T2D; n = 282). Urinary biomarkers/pathways associated with kidney disease progression (doubling of serum creatinine, ≥50% decrease in estimated glomerular filtration rates, or the development of end-stage kidney disease) were identified. Results SNUH-DN patients had an estimated glomerular filtration rate (eGFR) of 55 mL/min/1.73 m 2 (interquartile range [IQR], 44-75) and random urine protein-to-creatinine ratio of 3.1 g/g (IQR, 1.7-7.0). Urine proteins clustered into two groups, with cluster 2 having a 4.6-fold greater hazard (95% confidence interval [CI], 1.9-11.5) of disease progression than cluster 1 in multivariable-adjusted, time-to-event analyses. Proteins in cluster 2 mapped to 10 pathways, four of the top five of which were complement or complement-related. A high complement score, constructed from urine complement protein abundance, was strongly correlated to 4 of 5 histopathologic DN features and was associated with a 2.4-fold greater hazard (95% CI, 1.0-5.4) of disease progression than a low complement score. Targeted mass spectrometry of the CRIC-T2D participants, who had an eGFR of 42 mL/min/1.73 m 2 (IQR, 37-49) and 24-hr urine protein of 0.48 g (IQR, 0.10-1.87), showed that the complement score similarly segregated them into rapid and slow DKD progression groups. In both cohorts, the complement score had a linear association with disease progression. Conclusions Urinary proteomic profiling confirms the association between the complement pathway and rapid DKD progression in two independent cohorts. These results suggest a need to further investigate complement pathway inhibition as a novel treatment for DKD.
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Hu X, Chen S, Ye S, Chen W, Zhou Y. New insights into the role of immunity and inflammation in diabetic kidney disease in the omics era. Front Immunol 2024; 15:1342837. [PMID: 38487541 PMCID: PMC10937589 DOI: 10.3389/fimmu.2024.1342837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 02/19/2024] [Indexed: 03/17/2024] Open
Abstract
Diabetic kidney disease (DKD) is becoming the leading cause of chronic kidney disease, especially in the industrialized world. Despite mounting evidence has demonstrated that immunity and inflammation are highly involved in the pathogenesis and progression of DKD, the underlying mechanisms remain incompletely understood. Substantial molecules, signaling pathways, and cell types participate in DKD inflammation, by integrating into a complex regulatory network. Most of the studies have focused on individual components, without presenting their importance in the global or system-based processes, which largely hinders clinical translation. Besides, conventional technologies failed to monitor the different behaviors of resident renal cells and immune cells, making it difficult to understand their contributions to inflammation in DKD. Recently, the advancement of omics technologies including genomics, epigenomics, transcriptomics, proteomics, and metabolomics has revolutionized biomedical research, which allows an unbiased global analysis of changes in DNA, RNA, proteins, and metabolites in disease settings, even at single-cell and spatial resolutions. They help us to identify critical regulators of inflammation processes and provide an overview of cell heterogeneity in DKD. This review aims to summarize the application of multiple omics in the field of DKD and emphasize the latest evidence on the interplay of inflammation and DKD revealed by these technologies, which will provide new insights into the role of inflammation in the pathogenesis of DKD and lead to the development of novel therapeutic approaches and diagnostic biomarkers.
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Affiliation(s)
- Xinrong Hu
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province, Guangzhou, China
| | - Sixiu Chen
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province, Guangzhou, China
| | - Siyang Ye
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province, Guangzhou, China
| | - Wei Chen
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province, Guangzhou, China
| | - Yi Zhou
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province, Guangzhou, China
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Xiao M, Tang D, Luan S, Hu B, Gong W, Pommer W, Dai Y, Yin L. Dysregulated coagulation system links to inflammation in diabetic kidney disease. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2023; 4:1270028. [PMID: 38143793 PMCID: PMC10748384 DOI: 10.3389/fcdhc.2023.1270028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 11/24/2023] [Indexed: 12/26/2023]
Abstract
Diabetic kidney disease (DKD) is a significant contributor to end-stage renal disease worldwide. Despite extensive research, the exact mechanisms responsible for its development remain incompletely understood. Notably, patients with diabetes and impaired kidney function exhibit a hypercoagulable state characterized by elevated levels of coagulation molecules in their plasma. Recent studies propose that coagulation molecules such as thrombin, fibrinogen, and platelets are interconnected with the complement system, giving rise to an inflammatory response that potentially accelerates the progression of DKD. Remarkably, investigations have shown that inhibiting the coagulation system may protect the kidneys in various animal models and clinical trials, suggesting that these systems could serve as promising therapeutic targets for DKD. This review aims to shed light on the underlying connections between coagulation and complement systems and their involvement in the advancement of DKD.
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Affiliation(s)
- Mengyun Xiao
- Institute of Nephrology and Blood Purification, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Donge Tang
- Shenzhen People’s Hospital/The Second Clinical School of Jinan University, Shenzhen, Guangdong, China
| | - Shaodong Luan
- Department of Nephrology, Shenzhen Longhua District Central Hospital, Shenzhen, Guangdong, China
| | - Bo Hu
- Institute of Nephrology and Blood Purification, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Wenyu Gong
- Institute of Nephrology and Blood Purification, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Wolfgang Pommer
- KfH Kuratoriumfuer Dialyse und Nierentransplantatione.V., Bildungszentrum, Neu-Isenburg, Germany
| | - Yong Dai
- The First Affiliated Hospital, School of Medicine, Anhui University of Science and Technology, Huainan, Anhui, China
| | - Lianghong Yin
- Institute of Nephrology and Blood Purification, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
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Zhao T, Cheng F, Zhan D, Li J, Zheng C, Lu Y, Qin W, Liu Z. The Glomerulus Multiomics Analysis Provides Deeper Insights into Diabetic Nephropathy. J Proteome Res 2023. [PMID: 37191251 DOI: 10.1021/acs.jproteome.2c00794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
Although diabetic nephropathy (DN) is the leading cause of the end-stage renal disease, the exact regulation mechanisms remain unknown. In this study, we integrated the transcriptomics and proteomics profiles of glomeruli isolated from 50 biopsy-proven DN patients and 25 controls to investigate the latest findings about DN pathogenesis. First, 1152 genes exhibited differential expression at the mRNA or protein level, and 364 showed significant association. These strong correlated genes were divided into four different functional modules. Moreover, a regulatory network of the transcription factors (TFs)-target genes (TGs) was constructed, with 30 TFs upregulated at the protein levels and 265 downstream TGs differentially expressed at the mRNA levels. These TFs are the integration centers of several signal transduction pathways and have tremendous therapeutic potential for regulating the aberrant production of TGs and the pathological process of DN. Furthermore, 29 new DN-specific splice-junction peptides were discovered with high confidence; these peptides may play novel functions in the pathological course of DN. So, our in-depth integrative transcriptomics-proteomics analysis provided deeper insights into the pathogenesis of DN and opened the potential avenue for finding new therapeutic interventions. MS raw files were deposited into the proteomeXchange with the dataset identifier PXD040617.
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Affiliation(s)
- Tingting Zhao
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, Jiangsu 210002, China
| | - Fang Cheng
- Department of Bioinformatics, Beijing Pineal Diagnostics Co., Ltd., Beijing 102206, China
| | - Dongdong Zhan
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Jin'e Li
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing 102206, China
| | - Chunxia Zheng
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, Jiangsu 210002, China
| | - Yinghui Lu
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, Jiangsu 210002, China
| | - Weisong Qin
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, Jiangsu 210002, China
| | - Zhihong Liu
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, Jiangsu 210002, China
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Trambas IA, Coughlan MT, Tan SM. Therapeutic Potential of Targeting Complement C5a Receptors in Diabetic Kidney Disease. Int J Mol Sci 2023; 24:ijms24108758. [PMID: 37240105 DOI: 10.3390/ijms24108758] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 04/26/2023] [Accepted: 04/28/2023] [Indexed: 05/28/2023] Open
Abstract
Diabetic kidney disease (DKD) affects 30-40% of patients with diabetes and is currently the leading cause of end-stage renal disease (ESRD). The activation of the complement cascade, a highly conserved element of the innate immune system, has been implicated in the pathogenesis of diabetes and its complications. The potent anaphylatoxin C5a is a critical effector of complement-mediated inflammation. Excessive activation of the C5a-signalling axis promotes a potent inflammatory environment and is associated with mitochondrial dysfunction, inflammasome activation, and the production of reactive oxygen species. Conventional renoprotective agents used in the treatment of diabetes do not target the complement system. Mounting preclinical evidence indicates that inhibition of the complement system may prove protective in DKD by reducing inflammation and fibrosis. Targeting the C5a-receptor signaling axis is of particular interest, as inhibition at this level attenuates inflammation while preserving the critical immunological defense functions of the complement system. In this review, the important role of the C5a/C5a-receptor axis in the pathogenesis of diabetes and kidney injuries will be discussed, and an overview of the status and mechanisms of action of current complement therapeutics in development will be provided.
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Affiliation(s)
- Inez A Trambas
- Department of Diabetes, Central Clinical School, Monash University, Melbourne, VIC 3004, Australia
| | - Melinda T Coughlan
- Department of Diabetes, Central Clinical School, Monash University, Melbourne, VIC 3004, Australia
| | - Sih Min Tan
- Department of Diabetes, Central Clinical School, Monash University, Melbourne, VIC 3004, Australia
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Wang D, Wu C, Chen S, Li Y, Wang L, Zhang Y, Li G. Urinary complement profile in IgA nephropathy and its correlation with the clinical and pathological characteristics. Front Immunol 2023; 14:1117995. [PMID: 37020564 PMCID: PMC10068869 DOI: 10.3389/fimmu.2023.1117995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 03/03/2023] [Indexed: 03/22/2023] Open
Abstract
Background and objectivesThe activated complement profile in IgA nephropathy (IgAN) is still unclear. Our study investigated the profile of urinary complements in IgAN patients and its correlations with clinical and pathological characteristics.MethodsUrinary protein abundance was detected by liquid chromatography-tandem mass spectrometry (LC–MS/MS) in 50 IgAN, 50 membranous nephropathy (MN), and 68 healthy controls (HC). Then, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed to identify differentially expressed proteins in IgAN patients. The differentially expressed complement proteins were screened in IgAN patients, and their correlations with laboratory or pathological parameters were analyzed. Thereafter, 7 complement components were validated by enzyme-linked immunosorbent assay (ELISA) in the urine samples of 45 IgAN patients.ResultsThere were 786 differentially expressed proteins between IgAN and HC. KEGG analysis showed that differentially expressed urinary proteins in IgAN were enriched with complement. Of these, 67% of urinary complement protein abundance was associated with the estimated glomerular filtration rate. The urinary complement-related protein collectin12 (colec12), complement H factor (CFH), complement H factor-related protein 2 (CFHR2), and complement B factor (CFB) were positively correlated with serum creatinine; colec12, CFHR2, CFB, and C8g were positively correlated with glomerulosclerosis; CFH, CFHR2, C8g, and C9 were positively correlated with tubular atrophy/interstitial fibrosis.ConclusionAbnormally increased components of complement pathways significantly correlate with reduced renal function, proteinuria, and renal histological damage in IgAN. It could provide a potential biomarker panel for monitoring IgAN and provide clues for therapeutic choice targeting complement system of IgAN patients.
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Affiliation(s)
- Dongqing Wang
- Renal Department and Nephrology Institute, Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Changwei Wu
- Renal Department and Nephrology Institute, Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Sipei Chen
- Renal Department and Nephrology Institute, Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Yi Li
- Renal Department and Nephrology Institute, Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Li Wang
- Renal Department and Nephrology Institute, Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Yong Zhang
- Institutes for Systems Genetics, West China Hospital, Sichuan University, Chengdu, China
- *Correspondence: Guisen Li, ; Yong Zhang,
| | - Guisen Li
- Renal Department and Nephrology Institute, Sichuan Provincial People’s Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
- *Correspondence: Guisen Li, ; Yong Zhang,
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Adeva-Andany MM, Adeva-Contreras L, Fernández-Fernández C, Carneiro-Freire N, Domínguez-Montero A. Histological Manifestations of Diabetic Kidney Disease and its Relationship with Insulin Resistance. Curr Diabetes Rev 2023; 19:50-70. [PMID: 35346008 DOI: 10.2174/1573399818666220328145046] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 01/18/2022] [Accepted: 02/08/2022] [Indexed: 11/22/2022]
Abstract
Histological manifestations of diabetic kidney disease (DKD) include mesangiolysis, mesangial matrix expansion, mesangial cell proliferation, thickening of the glomerular basement membrane, podocyte loss, foot process effacement, and hyalinosis of the glomerular arterioles, interstitial fibrosis, and tubular atrophy. Glomerulomegaly is a typical finding. Histological features of DKD may occur in the absence of clinical manifestations, having been documented in patients with normal urinary albumin excretion and normal glomerular filtration rate. Furthermore, the histological picture progresses over time, while clinical data may remain normal. Conversely, histological lesions of DKD improve with metabolic normalization following effective pancreas transplantation. Insulin resistance has been associated with the clinical manifestations of DKD (nephromegaly, glomerular hyperfiltration, albuminuria, and kidney failure). Likewise, insulin resistance may underlie the histological manifestations of DKD. Morphological changes of DKD are absent in newly diagnosed type 1 diabetes patients (with no insulin resistance) but appear afterward when insulin resistance develops. In contrast, structural lesions of DKD are typically present before the clinical diagnosis of type 2 diabetes. Several heterogeneous conditions that share the occurrence of insulin resistance, such as aging, obesity, acromegaly, lipodystrophy, cystic fibrosis, insulin receptor dysfunction, and Alström syndrome, also share both clinical and structural manifestations of kidney disease, including glomerulomegaly and other features of DKD, focal segmental glomerulosclerosis, and C3 glomerulopathy, which might be ascribed to the reduction in the synthesis of factor H binding sites (such as heparan sulfate) that leads to uncontrolled complement activation. Alström syndrome patients show systemic interstitial fibrosis markedly similar to that present in diabetes.
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Affiliation(s)
- María M Adeva-Andany
- Internal Medicine Department, Nephrology Division, Hospital General Juan Cardona c/ Pardo Bazán s/n, 15406 Ferrol, Spain
| | - Lucía Adeva-Contreras
- University of Santiago de Compostela Medical School, Santiago de Compostela, Acoruna, Spain
| | - Carlos Fernández-Fernández
- Internal Medicine Department, Nephrology Division, Hospital General Juan Cardona c/ Pardo Bazán s/n, 15406 Ferrol, Spain
| | - Natalia Carneiro-Freire
- Internal Medicine Department, Nephrology Division, Hospital General Juan Cardona c/ Pardo Bazán s/n, 15406 Ferrol, Spain
| | - Alberto Domínguez-Montero
- Internal Medicine Department, Nephrology Division, Hospital General Juan Cardona c/ Pardo Bazán s/n, 15406 Ferrol, Spain
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11
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Zhao J, Jiang J, Wang Y, Liu D, Li T, Zhang M. Significance of urine complement proteins in monitoring lupus activity. PeerJ 2022; 10:e14383. [PMID: 36420131 PMCID: PMC9677877 DOI: 10.7717/peerj.14383] [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: 08/19/2022] [Accepted: 10/21/2022] [Indexed: 11/21/2022] Open
Abstract
Objectives Complement activation is a critical feature in the development of systemic lupus erythematosus (SLE). Whether there are changes of complement components in the urine of SLE has not been reported. The aim of the study was to evaluate the complement-related proteins in the urine of SLE, verify differentially expressed proteins(DEPs) in the active phase of SLE, further explore their clinical application value. Methods First, we used bioinformatics and functional enrichment to screen and identify the urine protein profile of SLE patients. Then, analyzed and verified the proteins related to the complement pathway by western-blot and Parallel Reaction Monitoring (PRM) technology. Further evaluated the relationship between urinary DEPs related to complement pathway and disease activity. Results A total of 14 complement pathway-related proteins were screened for differences in expression between the active group and the stable group, eight of these DEPs were up-regulated and six were down-regulated. These DEPs may play a key role in SLE disease activity. We used PRM technology to verify the eight up-regulated proteins, and found that four of these complement proteins, namely C9, C8A, C4B, and C8G, were significantly increased in active group. Furthermore, these four DEPs were highly correlated with disease activity. In the urine of SLE patients, AUCs of 0.750, 0.840, 0.757 and 0.736 were achieved with C9, C8A, C4B, and C8G, respectively. Conclusions Complement-related DEPs in urine have a certain correlation with SLE disease activity. Urine C9, C8A, C4B and C8G present promising non-invasive biomarkers for monitoring lupus activity.
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Affiliation(s)
- Jin Zhao
- Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Jun Jiang
- Peking University Ninth School of Clinical Medicine, Beijing, China
| | - Yuhua Wang
- Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Dan Liu
- Peking University Ninth School of Clinical Medicine, Beijing, China
| | - Tao Li
- Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Man Zhang
- Beijing Shijitan Hospital, Capital Medical University, Beijing, China,Peking University Ninth School of Clinical Medicine, Beijing, China,Beijing Key Laboratory of Urinary Cellular Molecular Diagnostics, Beijing, China
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12
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Pursuing Diabetic Nephropathy through Aqueous Humor Proteomics Analysis. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2022; 2022:5945828. [PMID: 36211816 PMCID: PMC9537621 DOI: 10.1155/2022/5945828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 09/01/2022] [Accepted: 09/14/2022] [Indexed: 11/17/2022]
Abstract
In order to determine the possible aqueous humor (AH) proteins involved in diabetic nephropathy (DN) progression, we performed gel electrophoresis-liquid chromatography-tandem mass spectrometry protein profiling of AH samples from 5 patients with proliferative diabetic retinopathy (PDR) combined DN and 5 patients with PDR. Function enrichment analyses were carried out after the identification of differentially expressed proteins (DEPs). Protein-protein interaction networks were then built and the Search Tool for the Retrieval of Interacting Genes database and CytoNCA plugin in Cytoscape were utilized for module analysis. Ingenuity Pathway Analysis (IPA) was used to analyze disease and biological function, Tox function enrichment and upstream regulatory molecules/networks. Fifty-four DEPs were finally confirmed, whose enriched functions and pathways covered cell adhesion, extracellular exosome, complement activation, complement and coagulation cascades, etc. Nine hub genes were identified, including NCAM1, PLG, APOH, C3, PSAP, RBP4, CDH2, NUCB1, and GNS. IPA showed that C3 and PLG are involved in renal and urological system abnormalities. Conclusively, DEPs and hub proteins confirmed in this exploratory AH proteomic analysis may help us gain a deeper understanding of the molecular mechanisms involved in DN progression, providing novel candidate biomarkers for the early detection for diagnosis of DN.
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13
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Efficacy of Yishen Huashi Granules Combined with Linagliptin Tablets on Blood Glucose and Renal Function in Patients with Type 2 Diabetic Nephropathy. COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2022; 2022:4272520. [PMID: 36177313 PMCID: PMC9514935 DOI: 10.1155/2022/4272520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 08/31/2022] [Accepted: 09/03/2022] [Indexed: 11/18/2022]
Abstract
Objective To probe into the efficacy of Yishen Huashi granules combined with linagliptin tablets in the treatment of type 2 diabetic nephropathy (DN) and its effect on blood glucose and renal function in patients. Methods 70 patients with type 2 DN at our hospital between May 2020 and May 2022 were chosen as the research objects and separated into the control group and the research group based on their treatments. With 35 cases in each group, the patients treated with initial therapy and linagliptin tablets were enrolled in the control group, and those who received the above treatments and also Yishen Huashi granules were included in the research group. Their clinical indexes such as blood glucose and renal function were compared with both groups after treatment. Results After treatment, the research group had remarkably lower fasting blood glucose (FPG), 2 h-postprandial blood glucose (2 h-PBG), and glycosylated hemoglobin A1c (HbA1c) levels than those in the control group (P < 0.05). After treatment, the research group had remarkably lower levels of total cholesterol (TC), triglyceride (TG), and low-density lipoprotein (LDL) (P < 0.05) and higher high-density lipoprotein (HDL) levels (P < 0.05) than those in the control group. After treatment, the urinary microalbumin (u-mALB) level was remarkably lower in both groups (P < 0.05) and was distinctly lower in the research group than in the control group (P < 0.05). After treatment, the research group had remarkably lower renal function indexes such as serum creatinine (SCr), blood urea nitrogen (BUN), urinary protein (UPro), and urinary albumin excretion rate (UAER) (P < 0.05) and a higher estimated glomerular filtration rate (eGFR) level (P < 0.05) than those in the control group. The efficacy was evaluated by the traditional Chinese medicine (TCM) syndrome score after treatment. There were no patients in complete remission between both the groups, where slight differences were found in the proportion of significant remission (P > 0.05), with the total effective rate of the research group remarkably higher than that of the control group (P < 0.05). Conclusion The combination of Yishen Huashi granules and linagliptin tablets can reduce the blood glucose and blood lipid levels in patients with type 2 DN and lower UPro and protect renal function at the same time, which provides a new idea and a method for clinical treatment of type 2 DN with integrated traditional Chinese and Western medicine.
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14
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Xu Z, Tao L, Su H. The Complement System in Metabolic-Associated Kidney Diseases. Front Immunol 2022; 13:902063. [PMID: 35924242 PMCID: PMC9339597 DOI: 10.3389/fimmu.2022.902063] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 06/20/2022] [Indexed: 11/17/2022] Open
Abstract
Metabolic syndrome (MS) is a group of clinical abnormalities characterized by central or abdominal obesity, hypertension, hyperuricemia, and metabolic disorders of glucose or lipid. Currently, the prevalence of MS is estimated about 25% in general population and is progressively increasing, which has become a challenging public health burden. Long-term metabolic disorders can activate the immune system and trigger a low-grade chronic inflammation named “metaflammation.” As an important organ involved in metabolism, the kidney is inevitably attacked by immunity disequilibrium and “metaflammation.” Recently, accumulating studies have suggested that the complement system, the most important and fundamental component of innate immune responses, is actively involved in the development of metabolic kidney diseases. In this review, we updated and summarized the different pathways through which the complement system is activated in a series of metabolic disturbances and the mechanisms on how complement mediate immune cell activation and infiltration, renal parenchymal cell damage, and the deterioration of renal function provide potential new biomarkers and therapeutic options for metabolic kidney diseases.
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15
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Adeva-Andany MM, Carneiro-Freire N. Biochemical composition of the glomerular extracellular matrix in patients with diabetic kidney disease. World J Diabetes 2022; 13:498-520. [PMID: 36051430 PMCID: PMC9329837 DOI: 10.4239/wjd.v13.i7.498] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 04/19/2022] [Accepted: 06/26/2022] [Indexed: 02/06/2023] Open
Abstract
In the glomeruli, mesangial cells produce mesangial matrix while podocytes wrap glomerular capillaries with cellular extensions named foot processes and tether the glomerular basement membrane (GBM). The turnover of the mature GBM and the ability of adult podocytes to repair injured GBM are unclear. The actin cytoskeleton is a major cytoplasmic component of podocyte foot processes and links the cell to the GBM. Predominant components of the normal glomerular extracellular matrix (ECM) include glycosaminoglycans, proteoglycans, laminins, fibronectin-1, and several types of collagen. In patients with diabetes, multiorgan composition of extracellular tissues is anomalous, including the kidney, so that the constitution and arrangement of glomerular ECM is profoundly altered. In patients with diabetic kidney disease (DKD), the global quantity of glomerular ECM is increased. The level of sulfated proteoglycans is reduced while hyaluronic acid is augmented, compared to control subjects. The concentration of mesangial fibronectin-1 varies depending on the stage of DKD. Mesangial type III collagen is abundant in patients with DKD, unlike normal kidneys. The amount of type V and type VI collagens is higher in DKD and increases with the progression of the disease. The GBM contains lower amount of type IV collagen in DKD compared to normal tissue. Further, genetic variants in the α3 chain of type IV collagen may modulate susceptibility to DKD and end-stage kidney disease. Human cellular models of glomerular cells, analyses of human glomerular proteome, and improved microscopy procedures have been developed to investigate the molecular composition and organization of the human glomerular ECM.
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16
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Jiao Y, Jiang S, Wang Y, Yu T, Zou G, Zhuo L, Li W. Activation of complement C1q and C3 in glomeruli might accelerate the progression of diabetic nephropathy: Evidence from transcriptomic data and renal histopathology. J Diabetes Investig 2022; 13:839-849. [PMID: 34932275 PMCID: PMC9077730 DOI: 10.1111/jdi.13739] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2021] [Revised: 12/02/2021] [Accepted: 12/17/2021] [Indexed: 11/27/2022] Open
Abstract
AIMS/INTRODUCTION It is not unclear whether the complement system is involved in the pathogenesis of diabetic nephropathy (DN). We explored the role of the complement system in glomeruli from patients with DN using integrated transcriptomic bioinformatics analysis and renal histopathology. MATERIALS AND METHODS Four datasets (GSE30528, GSE104948, GSE96804 and GSE99339) from the Gene Expression Omnibus database were integrated. We used a protein-protein interaction network and the Molecular Complex Detection App to obtain hub genes. Gene ontology and the Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses were carried out to identify significant pathways. We also investigated the associations of C1q and C3 deposition on renal histopathology with clinical data, pathological parameters and renal survival in DN patients. RESULTS We identified 47 up- and 48 downregulated genes associated with DN. C3, C1QB and C1QA were found to be complement-related hub genes. The gene ontology and Kyoto Encyclopedia of Genes and Genomes analyses identified complement activation and humoral immune response as the significant oncology terms, with C1QB and C3 positioned at the center of the pathway. Regarding renal histopathology, patients with both C1q and C3 deposition had more severe glomerular classes. Multivariate Cox proportional hazards regression showed that the deposition of glomerular C1q and C3 was an independent risk factor for kidney failure. Patients with high C1q, C3 or C4d expression in glomeruli were more likely to progress to kidney failure, whereas glomerular mannose-binding lectin was rare. CONCLUSIONS Complement activation is involved in the development of DN, and activation of the classical complement pathway in glomeruli might accelerate disease progression.
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Affiliation(s)
- Yuanyuan Jiao
- Department of NephrologyChina‐Japan Friendship HospitalBeijingChina
- Graduate School of Peking Union Medical CollegePeking Union Medical College and Chinese Academy of Medical SciencesBeijingChina
| | - Shimin Jiang
- Department of NephrologyChina‐Japan Friendship HospitalBeijingChina
| | - Ying Wang
- Department of NephrologyChina‐Japan Friendship HospitalBeijingChina
- Graduate School of Peking Union Medical CollegePeking Union Medical College and Chinese Academy of Medical SciencesBeijingChina
| | - Tianyu Yu
- Department of NephrologyChina‐Japan Friendship HospitalBeijingChina
| | - Guming Zou
- Department of NephrologyChina‐Japan Friendship HospitalBeijingChina
| | - Li Zhuo
- Department of NephrologyChina‐Japan Friendship HospitalBeijingChina
| | - Wenge Li
- Department of NephrologyChina‐Japan Friendship HospitalBeijingChina
- Graduate School of Peking Union Medical CollegePeking Union Medical College and Chinese Academy of Medical SciencesBeijingChina
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17
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Fan G, Gong T, Lin Y, Wang J, Sun L, Wei H, Yang X, Liu Z, Li X, Zhao L, Song L, He J, Liu H, Li X, Liu L, Li A, Lu Q, Zou D, Wen J, Xia Y, Wu L, Huang H, Zhang Y, Xie W, Huang J, Luo L, Wu L, He L, Liang Q, Chen Q, Chen G, Bai M, Qin J, Ni X, Tang X, Wang Y. Urine proteomics identifies biomarkers for diabetic kidney disease at different stages. Clin Proteomics 2021; 18:32. [PMID: 34963468 PMCID: PMC8903606 DOI: 10.1186/s12014-021-09338-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Accepted: 12/21/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Type 2 diabetic kidney disease is the most common cause of chronic kidney diseases (CKD) and end-stage renal diseases (ESRD). Although kidney biopsy is considered as the 'gold standard' for diabetic kidney disease (DKD) diagnosis, it is an invasive procedure, and the diagnosis can be influenced by sampling bias and personal judgement. It is desirable to establish a non-invasive procedure that can complement kidney biopsy in diagnosis and tracking the DKD progress. METHODS In this cross-sectional study, we collected 252 urine samples, including 134 uncomplicated diabetes, 65 DKD, 40 CKD without diabetes and 13 follow-up diabetic samples, and analyzed the urine proteomes with liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS). We built logistic regression models to distinguish uncomplicated diabetes, DKD and other CKDs. RESULTS We quantified 559 ± 202 gene products (GPs) (Mean ± SD) on a single sample and 2946 GPs in total. Based on logistic regression models, DKD patients could be differentiated from the uncomplicated diabetic patients with 2 urinary proteins (AUC = 0.928), and the stage 3 (DKD3) and stage 4 (DKD4) DKD patients with 3 urinary proteins (AUC = 0.949). These results were validated in an independent dataset. Finally, a 4-protein classifier identified putative pre-DKD3 patients, who showed DKD3 proteomic features but were not diagnosed by clinical standards. Follow-up studies on 11 patients indicated that 2 putative pre-DKD patients have progressed to DKD3. CONCLUSIONS Our study demonstrated the potential for urinary proteomics as a noninvasive method for DKD diagnosis and identifying high-risk patients for progression monitoring.
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Affiliation(s)
- Guanjie Fan
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China. .,The Second Clinical College of Guangzhou, University of Chinese Medicine, Guangzhou, 510120, China. .,Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China. .,Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, 510120, China.
| | - Tongqing Gong
- Beijing Pineal Health Management Co., Ltd, Beijing, 102206, China
| | - Yuping Lin
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.,The Second Clinical College of Guangzhou, University of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, 510120, China
| | - Jianping Wang
- State Key Laboratory of Proteomics, National Center for Protein Sciences, Beijing Proteome Research Center, Institute of Lifeomics, Beijing, 102206, China.,Chongqing Key Laboratory of Big Data for Bio Intelligence, School of Bioinformation, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China
| | - Lu Sun
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.,The Second Clinical College of Guangzhou, University of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, 510120, China
| | - Hua Wei
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.,The Second Clinical College of Guangzhou, University of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, 510120, China
| | - Xing Yang
- Beijing Pineal Health Management Co., Ltd, Beijing, 102206, China
| | - Zhenjie Liu
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.,The Second Clinical College of Guangzhou, University of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, 510120, China
| | - Xinliang Li
- Beijing Pineal Health Management Co., Ltd, Beijing, 102206, China
| | - Ling Zhao
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.,The Second Clinical College of Guangzhou, University of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, 510120, China
| | - Lan Song
- State Key Laboratory of Proteomics, National Center for Protein Sciences, Beijing Proteome Research Center, Institute of Lifeomics, Beijing, 102206, China
| | - Jiali He
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.,The Second Clinical College of Guangzhou, University of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, 510120, China
| | - Haibo Liu
- Beijing Pineal Health Management Co., Ltd, Beijing, 102206, China
| | - Xiuming Li
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.,The Second Clinical College of Guangzhou, University of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, 510120, China
| | - Lifeng Liu
- Beijing Pineal Health Management Co., Ltd, Beijing, 102206, China
| | - Anxiang Li
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.,The Second Clinical College of Guangzhou, University of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, 510120, China
| | - Qiyun Lu
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.,The Second Clinical College of Guangzhou, University of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, 510120, China
| | - Dongyin Zou
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.,The Second Clinical College of Guangzhou, University of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, 510120, China
| | - Jianxuan Wen
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.,The Second Clinical College of Guangzhou, University of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, 510120, China
| | - Yaqing Xia
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.,The Second Clinical College of Guangzhou, University of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, 510120, China
| | - Liyan Wu
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.,The Second Clinical College of Guangzhou, University of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, 510120, China
| | - Haoyue Huang
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.,The Second Clinical College of Guangzhou, University of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, 510120, China
| | - Yuan Zhang
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.,The Second Clinical College of Guangzhou, University of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, 510120, China
| | - Wenwen Xie
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.,The Second Clinical College of Guangzhou, University of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, 510120, China
| | - Jinzhu Huang
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.,The Second Clinical College of Guangzhou, University of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, 510120, China
| | - Lulu Luo
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.,The Second Clinical College of Guangzhou, University of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, 510120, China
| | - Lulu Wu
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.,The Second Clinical College of Guangzhou, University of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, 510120, China
| | - Liu He
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.,The Second Clinical College of Guangzhou, University of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, 510120, China
| | - Qingshun Liang
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.,The Second Clinical College of Guangzhou, University of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, 510120, China
| | - Qubo Chen
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.,The Second Clinical College of Guangzhou, University of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, 510120, China
| | - Guowei Chen
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.,The Second Clinical College of Guangzhou, University of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, 510120, China
| | - Mingze Bai
- State Key Laboratory of Proteomics, National Center for Protein Sciences, Beijing Proteome Research Center, Institute of Lifeomics, Beijing, 102206, China.,Chongqing Key Laboratory of Big Data for Bio Intelligence, School of Bioinformation, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China
| | - Jun Qin
- State Key Laboratory of Proteomics, National Center for Protein Sciences, Beijing Proteome Research Center, Institute of Lifeomics, Beijing, 102206, China
| | - Xiaotian Ni
- State Key Laboratory of Proteomics, National Center for Protein Sciences, Beijing Proteome Research Center, Institute of Lifeomics, Beijing, 102206, China.
| | - Xianyu Tang
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China. .,The Second Clinical College of Guangzhou, University of Chinese Medicine, Guangzhou, 510120, China. .,Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, 510120, China. .,Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, 510120, China.
| | - Yi Wang
- State Key Laboratory of Proteomics, National Center for Protein Sciences, Beijing Proteome Research Center, Institute of Lifeomics, Beijing, 102206, China.
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