Kidney DiseasesPub Date : 2025-07-01eCollection Date: 2025-01-01DOI: 10.1159/000547202
Xinyu Du, Liyuan Yao, Shougang Zhuang
{"title":"Lysine Methyltransferases SMYD2 and SMYD3: Emerging Targets in Kidney Diseases.","authors":"Xinyu Du, Liyuan Yao, Shougang Zhuang","doi":"10.1159/000547202","DOIUrl":"10.1159/000547202","url":null,"abstract":"<p><strong>Background: </strong>The SET and MYND domain-containing (SMYD) protein family is a group of lysine methyltransferases with SET and MYND domains and plays a critical role in regulating gene expression through the methylation of histone and non-histone proteins.</p><p><strong>Summary: </strong>Studies have linked mutations or overexpression of SMYD2 and SMYD3 to various cancers, including renal carcinoma. Recent research also demonstrates that the expression levels and activity of SMYD2 and SMYD3 are increased in animal models of renal diseases such as autosomal dominant polycystic kidney disease, renal fibrosis, and diabetic nephropathy. Inhibiting either SMYD2 or SMYD3 pharmacologically or genetically can effectively suppress renal tumorigenesis and cystic formation while improving outcomes in renal fibrosis and diabetic nephropathy. Additionally, SMYD2 and SMYD3 are involved in the pathogenesis of acute kidney injury.</p><p><strong>Key messages: </strong>This review summarizes the roles of these two lysine methyltransferases in renal diseases, highlights their mechanisms, and emphasizes their potential as therapeutic targets for kidney disorders.</p>","PeriodicalId":17830,"journal":{"name":"Kidney Diseases","volume":"11 1","pages":"518-529"},"PeriodicalIF":3.1,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12334150/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144817044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kidney DiseasesPub Date : 2025-06-12eCollection Date: 2025-01-01DOI: 10.1159/000546397
Cheng Li, Jing Liu, Ping Fu, Jie Zou
{"title":"Artificial Intelligence Models in Diagnosis and Treatment of Kidney Diseases: Current Status and Prospects.","authors":"Cheng Li, Jing Liu, Ping Fu, Jie Zou","doi":"10.1159/000546397","DOIUrl":"10.1159/000546397","url":null,"abstract":"<p><strong>Background: </strong>Artificial intelligence (AI) has made significant advances in nephrology, revolutionizing the diagnosis, prognosis, and treatment of kidney diseases.</p><p><strong>Summary: </strong>This review provides an overview of AI applications in nephrology, introducing the basic structures of each model, highlighting both traditional machine-learning approaches and neural networks, and providing model application comparisons along with selection recommendations. It discussed key challenges in deciding appropriate AI models for specific tasks and evaluated their advantages, limitations, and optimal use cases. Current applications of AI in nephrology mainly include diagnosis and disease outcome prediction, medical image analysis, treatment recommendations, and personalized health management, supported by massive electronic health records and multimodal data integration. Traditional machine learning models perform well on datasets of varying sizes and structures, while neural networks excel at handling complex and imaging data. Emerging hardware innovations are expected to improve the performance of neural network models, enabling more accurate diagnosis and automated analysis in clinical practice. In the future, AI will have great potential to advance individualized patient care and enable real-time data processing in nephrology.</p><p><strong>Key messages: </strong>An overview of AI applications in nephrology is provided in this review.</p>","PeriodicalId":17830,"journal":{"name":"Kidney Diseases","volume":"11 1","pages":"491-507"},"PeriodicalIF":3.1,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12266707/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144649837","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kidney DiseasesPub Date : 2025-06-10eCollection Date: 2025-01-01DOI: 10.1159/000546671
Joseph A Vassalotti, Anna Francis, Augusto Cesar Soares Dos Santos, Ricardo Correa-Rotter, Dina Abdellatif, Li-Li Hsiao, Stefanos Roumeliotis, Agnes Haris, Latha A Kumaraswami, Siu-Fai Lui, Alessandro Balducci, Vassilios Liakopoulos
{"title":"Are Your Kidneys OK? Detect Early to Protect Kidney Health.","authors":"Joseph A Vassalotti, Anna Francis, Augusto Cesar Soares Dos Santos, Ricardo Correa-Rotter, Dina Abdellatif, Li-Li Hsiao, Stefanos Roumeliotis, Agnes Haris, Latha A Kumaraswami, Siu-Fai Lui, Alessandro Balducci, Vassilios Liakopoulos","doi":"10.1159/000546671","DOIUrl":"10.1159/000546671","url":null,"abstract":"","PeriodicalId":17830,"journal":{"name":"Kidney Diseases","volume":"11 1","pages":"482-490"},"PeriodicalIF":3.2,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12237290/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144591570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Subtypes of Intracranial Carotid Arteriosclerosis and Vascular Prognosis in Chronic Kidney Disease Patients.","authors":"Bo-Ching Lee, Hsin-Hsi Tsai, Jia-Zheng Huang, Ya-Fang Chen, Li-Kai Tsai, Tai-Shuan Lai","doi":"10.1159/000546853","DOIUrl":"10.1159/000546853","url":null,"abstract":"<p><strong>Introduction: </strong>Vascular calcification, linked to atherosclerosis, is a significant cardiovascular risk factor in chronic kidney disease (CKD). While different intracranial carotid arteriosclerosis subtypes affect stroke risk in the general population, their prevalence, causes, and impact on CKD patients remain unclear.</p><p><strong>Methods: </strong>This cohort study used data from the National Taiwan University Hospital's pre-end-stage renal disease care database, including 2,622 CKD patients with brain CT scans from 2006 to 2020. Intracranial carotid artery calcifications were categorized as intimal or internal elastic lamina (IEL) subtypes. Multivariable Cox regression assessed the associations between each calcification subtype and incident stroke or vascular mortality.</p><p><strong>Results: </strong>Among 2,622 patients, 2,470 (94.2%) had calcifications classifiable as intimal (<i>n</i> = 719, 27.4%), IEL (<i>n</i> = 1,642, 62.6%), or mixed (<i>n</i> = 109, 4.2%) subtypes. Multivariable analysis revealed that IEL subtype was associated with older age, diabetes, prior vascular diseases, and impaired renal function (<i>p</i> < 0.05). Over a median follow-up of 3.9 years, IEL subtype exhibited a higher risk of any stroke (adjusted hazard ratio [HR] [95% CI]: 2.0 [1.2-3.2], <i>p</i> = 0.007) and vascular death (adjusted HR [95% CI]: 2.0 [1.4-3.0], <i>p</i> < 0.001), compared to those without calcification. Furthermore, the IEL subtype displayed a higher risk of any stroke (adjusted HR [95% CI]: 1.6 [1.1-2.3], <i>p</i> = 0.017) and vascular death (adjusted HR [95% CI]: 1.6 [1.3-2.1], <i>p</i> < 0.001) compared to the intimal subtype.</p><p><strong>Conclusion: </strong>IEL calcification is prevalent in CKD patients and associated with aging, diabetes, and impaired renal function. It poses a higher risk of cerebrovascular events compared to those without calcification or with intimal calcification.</p>","PeriodicalId":17830,"journal":{"name":"Kidney Diseases","volume":"11 1","pages":"508-517"},"PeriodicalIF":3.2,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12266704/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144649850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Trajectory Patterns of Metabolic Syndrome Severity Score and Risk of Chronic Kidney Diseases.","authors":"Ladan Mehran, Atefeh Amouzegar, Safdar Masoumi, Maryam Adib, Fereidoun Azizi, Atieh Amouzegar","doi":"10.1159/000545726","DOIUrl":"10.1159/000545726","url":null,"abstract":"<p><strong>Introduction: </strong>Despite the reported connection between different combinations of the standard MetS criteria and chronic kidney diseases (CKDs), most data raise significant concerns about its predictive usefulness in clinical settings beyond its components. Metabolic syndrome severity, expressed by the continuous metabolic syndrome severity score (cMetS-S), is a more applicable health metric that may more accurately predict future health outcomes. However, no evidence is known about the association between the trajectory of cMetS-S and the development of CKD.</p><p><strong>Methods: </strong>In the population-based Tehran Lipid and Glucose Study, 4,462 participants aged 20-60 years free of CKD at baseline were included and followed at 3-year intervals. We examined the trajectories of cMetS-S over 9 years (1999-2009) using latent growth mixture modeling and subsequent risks of incident CKD 8 years later (2010-2018). The prospective association of identified trajectories with CKD was examined using the Cox proportional hazard model adjusting for age, sex, education, and family history of diabetes, physical activity, obesity (BMI ≥30 kg/m<sup>2</sup>), antihypertensive, and lipid-lowering medication, and baseline fasting plasma glucose in a stepwise manner.</p><p><strong>Results: </strong>Three cMetS-S trajectory groups of low (28.3%), medium (50.0%), and high (21.7%) were identified during the exposure period. High cMetS-S trajectory pattern was associated with increased risk of CKD adjusting for age, sex, education, smoking, physical activity, baseline estimated glomerular filtration rate, and even after further adjustment for MetS components (1.32; 95% CI: 1.04-1.67). The associated risk remained significant even in normoglycemic, nonobese, and non-hypertensive individuals. Sex-specific subgroup analysis showed that MetS severity score is associated with CKD only in men.</p><p><strong>Conclusion: </strong>The trend of cMetS-S over time is associated with the development of CKD, even in those without major risk factors, for example, obesity, diabetes mellitus, and hypertension. It could be clinically helpful in identifying individuals at elevated risk rather than stating it as a predictive or causative factor. It could be clinically beneficial in identifying and tracking individuals at elevated risk rather than stating it as a predictive or causative factor.</p>","PeriodicalId":17830,"journal":{"name":"Kidney Diseases","volume":"11 1","pages":"530-542"},"PeriodicalIF":3.1,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12334149/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144817045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kidney DiseasesPub Date : 2025-05-23eCollection Date: 2025-01-01DOI: 10.1159/000546536
Yan Ouyang, Qingjie Weng, Xinyi Zhu, Zijin Chen, Wen Du, Qing Zhao, Jing Xu, Xiaofan Hu, Zhaohui Wang, Jingyuan Xie
{"title":"Finerenone in Primary IgA Nephropathy: A Matched Case-Control Study.","authors":"Yan Ouyang, Qingjie Weng, Xinyi Zhu, Zijin Chen, Wen Du, Qing Zhao, Jing Xu, Xiaofan Hu, Zhaohui Wang, Jingyuan Xie","doi":"10.1159/000546536","DOIUrl":"10.1159/000546536","url":null,"abstract":"<p><strong>Introduction: </strong>This study aimed to evaluate whether supplementation of finerenone to renin-angiotensin system inhibitor (RASi) therapy confers additional renoprotective benefit versus RASi therapy only in clinical IgA nephropathy (IgAN).</p><p><strong>Methods: </strong>Primary IgAN patients administered RASi therapy at Ruijin Hospital from January 2023 to December 2023 were retrospectively enrolled, with an estimated glomerular filtration rate (eGFR) ≥25 mL/min/1.73 m<sup>2</sup>. IgAN patients treated with steroids or immunosuppressants were excluded. The analyzed patients were divided into the finerenone and RASi groups based on finerenone use status. Patients were selected via 1:1 propensity score matching (PSM) based on age, sex, 24-hour urine protein, eGFR, and sodium-dependent glucose transporter-2 inhibitor (SGLT2i) use status. The primary endpoint was the change in urinary protein at 9 months compared to baseline. Secondary endpoints included eGFR decline and safety outcomes, with additional data collection at 12 months.</p><p><strong>Results: </strong>After PSM, 62 patients were included, with 31 in each group. The finerenone group showed a greater reduction in urinary protein (-29.03% vs. 41.47%, <i>p</i> < 0.001) and a slower least squares mean eGFR slope (1.87 vs. -4.13 mL/min/1.73 m<sup>2</sup>, <i>p</i> = 0.03) at 9 months compared with the RASi group. Subgroup analysis suggested a trend toward greater improvement with SGLT2i addition, but the interaction was not statistically significant (<i>p</i> = 0.31), likely due to the limited sample size. Extended follow-up at 12 months confirmed these findings, demonstrating a sustained reduction in proteinuria (<i>p</i> = 0.001). Hyperkalemia rates remained similar in both groups at 4, 9, and 12 months.</p><p><strong>Conclusions: </strong>The combination of finerenone with RASi is associated with a greater reduction in urinary protein and potentially better stabilization of eGFR compared with RASi alone in IgAN patients. However, these findings require further validation in prospective studies.</p>","PeriodicalId":17830,"journal":{"name":"Kidney Diseases","volume":"11 1","pages":"440-449"},"PeriodicalIF":3.2,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12215197/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144553920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kidney DiseasesPub Date : 2025-05-22eCollection Date: 2025-01-01DOI: 10.1159/000545415
Takashi Wada, Stefan D Anker, Zhihong Liu, Byung Wan Lee, Chien-Te Lee, Peter Rossing, Luis M Ruilope, Christiane Ahlers, Meike Brinker, Amaninder Mann, Satoshi Yamashita, Bertram Pitt
{"title":"Efficacy and Safety of Finerenone in Asian Patients with Type 2 Diabetes and Chronic Kidney Disease: A FIDELITY Analysis.","authors":"Takashi Wada, Stefan D Anker, Zhihong Liu, Byung Wan Lee, Chien-Te Lee, Peter Rossing, Luis M Ruilope, Christiane Ahlers, Meike Brinker, Amaninder Mann, Satoshi Yamashita, Bertram Pitt","doi":"10.1159/000545415","DOIUrl":"10.1159/000545415","url":null,"abstract":"<p><strong>Introduction: </strong>In FIDELITY, a prespecified pooled analysis of the phase III FIDELIO-DKD and FIGARO-DKD trials, finerenone reduced the risk of cardiovascular (CV) and kidney events versus placebo in patients with type 2 diabetes and chronic kidney disease, on optimized renin-angiotensin system blockade. This FIDELITY post hoc subanalysis explores the efficacy and safety of finerenone in Asian patients.</p><p><strong>Methods: </strong>For this subanalysis, efficacy outcomes included a CV composite (time to CV death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for heart failure) and kidney composite (kidney failure, sustained ≥57% estimated glomerular filtration rate [eGFR] decrease from baseline over ≥4 weeks or renal death) outcome. A change in urine albumin-to-creatinine ratio (UACR) from baseline to month 4 and eGFR slopes was also assessed. All outcomes were assessed by baseline eGFR (<60 and ≥60 mL/min/1.73 m<sup>2</sup>) and UACR (<300 and ≥300 mg/g) subgroups. Safety outcomes were reported as treatment-emergent adverse events, including laboratory evaluations for hyperkalemia.</p><p><strong>Results: </strong>In the Asian subpopulation, 1,412/2,858 (49.4%) received finerenone. Finerenone-treated Asian patients had a lower risk of the composite CV outcome (hazard ratio [HR] = 0.90; 95% confidence interval [CI], 0.70-1.15) and nominally significant reductions in the risk of ≥57% and ≥40% eGFR composite kidney outcomes (HR = 0.64; 95% CI, 0.50-0.82 and HR = 0.67; 95% CI, 0.56-0.80, respectively) versus those receiving placebo, irrespective of baseline eGFR and UACR. Data on change of eGFR from baseline over the course of the trials indicated that chronic kidney disease progression in Asian patients was slower with finerenone versus placebo. Overall, safety outcomes were balanced between both populations. Serum potassium values with finerenone were similar between the Asian and non-Asian subpopulations (>5.5 mmol/L: 15.6% versus 17.1%; >6.0 mmol/L: 4.6% versus 2.9%, respectively), while hyperkalemia leading to permanent treatment discontinuation with finerenone was low in both populations (Asian: 1.5%; non-Asian: 1.8%).</p><p><strong>Conclusion: </strong>Finerenone reduced the risk of CV and kidney events and demonstrated a well-tolerated safety profile in the FIDELITY Asian subpopulation.</p>","PeriodicalId":17830,"journal":{"name":"Kidney Diseases","volume":"11 1","pages":"402-415"},"PeriodicalIF":3.2,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12185061/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144475819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Predicting Adverse Outcomes in Kidney Transplant Recipients Using an Interpretable Model Based on Shear-Wave Elastography.","authors":"Jieying Wang, Jiayi Yan, Tianyi Zhang, Hong Cai, Wenqi Yang, Liang Ying, Shan Mou, Xinghua Shao","doi":"10.1159/000546396","DOIUrl":"10.1159/000546396","url":null,"abstract":"<p><strong>Introduction: </strong>Shear-wave elastography (SWE) is a promising noninvasive technique for measuring renal fibrosis after transplantation. This study aimed to develop an interpretable model to predict allograft deterioration in kidney transplant recipients and evaluate the predictive ability of SWE features.</p><p><strong>Methods: </strong>In this prospective cohort study, we performed SWE examinations on kidney transplant recipients at Renji Hospital between October 2020 and August 2023. The primary outcome was a composite of a 40% decline in estimated glomerular filtration rate or end-stage kidney disease. A total of 396 patients with stable renal allograft function were included. Five machine learning methods were used to construct predictive models.</p><p><strong>Results: </strong>Among all participants, 69 (17.4%) individuals reached the outcome. The XGBoost model with the addition of SWE features achieved the highest predictive performance with 20 repeats of nested tenfold cross-validation AUC of 0.870 (95% CI: 0.862-0.878) in the training dataset and 0.868 (95% CI: 0.801-0.935) in the validation dataset. Patients with higher medullary or cortical tissue stiffness had worse prognoses. A high level (>10 kPa) of medullary SWE was an independent risk predictor (adjusted OR, 2.68; 95% CI, 1.12-6.41).</p><p><strong>Conclusion: </strong>The joint use of SWE parameters and laboratory data significantly improved the risk prediction performance for a faster decline in allograft function. This interpretable XGBoost model may provide a readily available system to guide patient monitoring using noninvasive methods.</p>","PeriodicalId":17830,"journal":{"name":"Kidney Diseases","volume":"11 1","pages":"469-481"},"PeriodicalIF":3.2,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12215202/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144553921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kidney DiseasesPub Date : 2025-05-09eCollection Date: 2025-01-01DOI: 10.1159/000546343
Gangan Wang, Yixin Dong, Xiangyu Qiao, Chunyu Jia, Jiahui Wang, Gang Chen, Ke Zheng, Chengyu Jiang, Xuemei Li
{"title":"Clinical and Experimental Insights into the Role of NETosis in IgA Nephropathy Pathogenesis.","authors":"Gangan Wang, Yixin Dong, Xiangyu Qiao, Chunyu Jia, Jiahui Wang, Gang Chen, Ke Zheng, Chengyu Jiang, Xuemei Li","doi":"10.1159/000546343","DOIUrl":"10.1159/000546343","url":null,"abstract":"<p><strong>Introduction: </strong>Neutrophil extracellular traps (NETs) contribute to inflammation and are implicated in autoimmune diseases; however, their role in IgA nephropathy (IgAN) remains unclear. This study aimed to investigate the involvement of NETosis in IgAN and its impact on renal injury and mesangial cell function, utilizing patient samples, mouse models, and in vitro assays.</p><p><strong>Methods: </strong>RNA sequencing was performed on peripheral blood mononuclear cells (PBMCs) from IgAN patients to identify differentially expressed genes (DEGs) and NETosis-related pathways. An IgAN mouse model was established using bovine serum albumin, carbon tetrachloride, and lipopolysaccharide. Mice were treated with the peptidyl arginine deiminase-4 inhibitor GSK484 to evaluate the effects of NETosis inhibition. In vitro assays assessed the impact of NETosis on mesangial cells.</p><p><strong>Results: </strong>RNA sequencing identified 905 DEGs in IgAN patients, with significant enrichment in neutrophil and NETosis pathways. Serum levels of NETosis markers - citrullinated histone H3 (CitH3), myeloperoxidase (MPO), and neutrophil elastase - were elevated in IgAN patients, with CitH3 levels correlating with Gd-IgA1. Inhibiting NETosis with GSK484 reduced CitH3 levels in IgAN mice and improved clinical outcomes, including decreased proteinuria and increased serum albumin. Histological analysis revealed reduced mesangial proliferation. In vitro, NETosis enhanced tumor necrosis factor-α (TNF-α) release from mesangial cells, an effect that was mitigated by GSK484. RNA-seq analysis of kidneys from GSK484-treated IgAN mice also revealed significant alterations in the PPAR signaling pathway. Additionally, TNF-α treatment of mesangial cells resulted in reduced PPARα expression, suggesting that NETosis may modulate this pathway through the release of TNF-α by mesangial cells.</p><p><strong>Conclusion: </strong>Our findings demonstrate that NETosis is upregulated in IgAN and plays a key role in its pathogenesis by promoting inflammatory cytokine release. Inhibition of NETosis improves both clinical and pathological outcomes, highlighting its potential as a therapeutic approach for managing IgAN.</p>","PeriodicalId":17830,"journal":{"name":"Kidney Diseases","volume":"11 1","pages":"450-468"},"PeriodicalIF":3.2,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12215204/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144553874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}