ReviewCurrent pharmaceutical design2025
Insights into the Novel Biomarkers Expressed in Diabetic Nephropathy: Potential Clinical Applications.
Review in Current pharmaceutical design, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Applications and challenges of biomarker-based predictive models in proactive health management.Frontiers in public health · 2025Pooled it
- Gut microbiota and renal fibrosis: novel mechanistic insights and therapeutic potential.Acta pharmacologica Sinica · 2026Review
- Development and validation of a nomogram for predicting advanced chronic kidney disease.iScience · 2026Article
- Three-dimensional pseudo-continuous arterial spin labeling magnetic resonance imaging: an effective imaging technique for early-stage kidney injury in patients with type 2 diabetes.Quantitative imaging in medicine and surgery · 2026Article
- Association of Serum Bilirubin Levels With Histopathological Severity of Diabetic Nephropathy in Patients With Type 2 Diabetes: A Cross-Sectional Biopsy Study.Journal of diabetes research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diabetic nephropathy (DN) is increasing worldwide in parallel with type 2 diabetes mellitus. Identifying diagnostic biomarkers for DN at an early stage is crucial due to the considerable societal and economic burden associated with diabetes mellitus (DM) and its risk factors. In the past, early indicators of microvascular problems, such as microalbuminuria (MA), have been used to predict the possibility of developing advanced chronic kidney disease (CKD). However, because of the incapacity of MA to appropriately estimate DN, particularly, non-albuminuric DN, additional markers have been suggested for recognizing the early renal abnormalities and structural lesions, even before MA. This study aims to assess the existing and future biomarkers used to diagnose or predict early DN. This review provides comprehensive insight into diagnostic approaches for early detection of CKD, addressing the following areas: (i) markers of glomerular damage, (ii) markers of tubular damage, (iii) oxidative stress biomarkers, (iv) inflammatory biomarkers and (v) futuristic biomarkers such as micro-ribonucleic acids (miRNAs), proteomics, metabolomics and genomics and gut microbiota. Early detection of DN may lead to improvement in clinical management and quality of life, emphasizing the importance of identifying a specific and reliable predictive biomarker. Emerging serum and urinary biomarkers offer promise for early DN diagnosis, potentially reducing prevalence and preventing progression to end-stage renal disease (ESRD). Further advancements in miRNAs, proteomics, metabolomics genomics and gut microbiota offer prospects for even earlier and more precise DN diagnosis.
Indexed as
Identifiers
39415582What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.