ArticleNutrition & diabetes2024
Urine biomarkers in type 2 diabetes mellitus with or without microvascular complications.
Article in Nutrition & diabetes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Metabolomics profile in diabetes and blood glucose regulation: a systematic review.Frontiers in nutrition · 2026Pooled it
- Serum long noncoding RNA human plasmacytoma variant translocation 1 (PVT1) expression levels in Egyptians type 2 diabetic patients and its correlation with severity of diabetic nephropathy.BMC endocrine disorders · 2026Article
- Urinary biomarkers in the early diagnosis of diabetic kidney disease and diabetic retinopathy: A pilot study.Journal of medical biochemistry · 2026Article
- Tadehagi triquetrum aqueous extract ameliorates diabetic kidney disease through mitigating epithelial senescence via the PTEN/AKT/mTOR signaling pathway.Chinese medicine · 2026Article
- Urinary NGAL and NGAL/creatinine as tubular biomarkers in type 2 diabetes.Bioinformation · 2026Article
- Diagnostic value of tubular and glomerular biomarkers across different stages of kidney injury in patients with type 2 diabetic nephropathy.Frontiers in endocrinology · 2026Observational
- Advances in the Identification of Novel Urinary Biomarkers for Diabetic Kidney Disease.Journal of diabetes research · 2026Review
- Integrative proteomic analysis reveals the potential diagnostic marker and drug target for the Type-2 diabetes mellitus.Journal of diabetes and metabolic disorders · 2025Article
- What do You Need to Know after Diabetes and before Diabetic Retinopathy?Aging and disease · 2025Review
- Noninvasive Urinary Biomarkers for Obesity-Related Metabolic Diseases: Diagnostic Applications and Future Directions.Biomolecules · 2025Review
- Article
- Application of biomarkers in the diagnosis of kidney disease.Frontiers in medicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo investigate the distribution of nine (9) urine biomarkers in people living with type 2 diabetes mellitus (T2DM), with or without microvascular complications.
methodsIn total, 407 people with T2DM were enrolled from 2021 to 2022. According to diabetic retinopathy (DR) and urinary albumin-creatinine ratio (UACR), the 407 people were divided into four (4) groups, DR(-)UACR(-), DR(+)UACR(-), DR(-)UACR(+), and DR( + )UACR(+). In addition, 112 healthy volunteers were enrolled during the same period. The nine (9) urine markers included α1-microglobulin (u-α1MG), immunoglobulin G (u-IgG), neutrophil gelatinase-associated lipid carrier protein (u-NGAL), cystatin C (u-CysC), retinol-binding protein (u-RBP), β2-microglobulin (u-β2MG), N-acetyl-β-D-glucosaminidase (u-NAG), transferrin (u-Trf), and collagen type IV (u-Col). For each marker, the respective level of 97.5 percentile in healthy volunteers was taken as an upper reference limit.
resultsAmong the 407 people, 248 individuals (61%) were DR(-)UACR(-), 100 (25%) were DR(-)UACR(+), 37 (9%) were DR(+)UACR(-), and 22 (5%) were DR(+)UACR(+). The u-NAG/Cr biomarker level showed a significant difference between healthy participants and people with T2DM. In the DR(-)UACR(-)group, u-Trf/Cr showed the highest positive rate (21.37%), followed by u-IgG/Cr (14.52%); u-NAG/Cr (10.48%); u-β2MG/Cr (4.44%); u-CysC/Cr (4.03%); u-NGAL/Cr (4.03%); u-RBP/Cr (2.82%); u-α1MG/Cr (2.42%); 17.34% of people with T2DM showed multiple biomarkers positive (≥2 biomarkers). The positive rates of one biomarker (21.33%) and two biomarkers (18.67%) in people who have less than five (5) years of T2DM were almost close to those of the DR(-)UACR(-) group (21.37%, and 12.10%, respectively).
conclusionRenal tubule biomarkers may be used as an indicator in the early detection and monitoring of renal injury in diabetes mellitus. The u-NAG biomarker should be measured for the people with T2DM of the first-time diagnosis.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.