Early detection, prognosis, and management of IgA nephropathy (IgAN) remain a challenge. Histological examination of renal tissue still comprises the only way to confirm an IgAN diagnosis. It is of great importance to establish noninvasive diagnostic, prognostic, and predictive biomarkers that would improve the clinical care and outcome of patients suffering from IgAN. This review summarises the findings from previous mass spectrometry- (MS-) based studies dedicated to the discovery of urinary peptide profiles specific to IgAN. There is a substantial number of urinary peptides that have been discovered to date, which show promise as biomarkers of IgAN; however, all of them require further, rigorous validation in well-planned studies, involving a large number of subjects who represent diverse and numerous populations.
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http://dx.doi.org/10.1155/2018/5205831 | DOI Listing |
Introduction Nephrotic syndrome, an unusual clinical presentation of IgA nephropathy (IgAN), occurs only in a few cases. The data regarding its clinical characteristics and treatment outcomes are lacking. Material and methods In this retrospective analysis, we reviewed kidney biopsies conducted between January 2007 and December 2018.
View Article and Find Full Text PDFMol Oral Microbiol
January 2025
State Key Laboratory of Oral Diseases, National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, China.
Streptococcus mutans, the principal pathogen associated with dental caries, impacts individuals across all age groups and geographic regions. Beyond its role in compromising oral health, a growing body of research has established a link between S. mutans and various systemic diseases, including immunoglobulin A nephropathy (IgAN), nonalcoholic steatohepatitis (NASH), infective endocarditis (IE), ulcerative colitis (UC), cerebral hemorrhage, and tumors.
View Article and Find Full Text PDFZhonghua Yi Xue Za Zhi
February 2025
Department of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology; Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology; Key Laboratory of Organ Transplantation, Ministry of Education; NHC Key Laboratory of Organ Transplantation; Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan 510030, China.
To investigate the efficacy of dual kidney transplantation (DKT) from adult donors. Clinical data of adult DKT donors and recipients in the Institute of Organ Transplantation, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology from March 2015 to June 2024 were retrospectively analyzed. The patients were followed up until September 2024.
View Article and Find Full Text PDFBiomedicines
January 2025
Department of Pharmacology, Faculty of Medicine and Dentistry, Palacky University Olomouc, 77515 Olomouc, Czech Republic.
Hypertriglyceridemia has serious health risks such as cardiovascular disease, type 2 diabetes mellitus, nephropathy, and others. Fenofibrate is an effective hypolipidemic drug, but its benefits for ameliorating disorders associated with hypertriglyceridemia failed to be proven in clinical trials. To search for possible causes of this situation and possibilities of their favorable influence, we tested the effect of FF monotherapy and the combination of fenofibrate with silymarin on metabolic disorders in a unique model of hereditary hypertriglyceridemic rats (HHTg).
View Article and Find Full Text PDFEur Radiol
January 2025
Department of Ultrasound, First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Objectives: To develop and validate an ultrasomics-based machine-learning (ML) model for non-invasive assessment of interstitial fibrosis and tubular atrophy (IF/TA) in patients with IgA nephropathy (IgAN).
Materials And Methods: In this multi-center retrospective study, 471 patients with primary IgA nephropathy from four institutions were included (training, n = 275; internal testing, n = 69; external testing, n = 127; respectively). The least absolute shrinkage and selection operator logistic regression with tenfold cross-validation was used to identify the most relevant features.
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