ArticleAmerican journal of translational research2023
Computational identification of novel signature of T2DM-induced nephropathy and therapeutic bioactive compounds from
Article in American journal of translational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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
7 citing papers in PubMed.
- Substrate Specificity and Immunological Implications ofJournal of microbiology and biotechnology · 2026Article
- Sargassum incisifolium and Ulva spp metabolites activity and their molecular dynamics simulation against Fusarium oxysporum 14-alpha-demethylase.Biotechnology reports (Amsterdam, Netherlands) · 2025Article
- Decoding diabetic kidney disease: a comprehensive review of interconnected pathways, molecular mediators, and therapeutic insights.Diabetology & metabolic syndrome · 2025Review
- Identification of genes related to fatty acid metabolism in type 2 diabetes mellitus.Biochemistry and biophysics reports · 2024Article
- Article
- Article
- Comprehensive analysis of bulk and single-cell RNA sequencing data reveals Schlafen-5 (SLFN5) as a novel prognosis and immunity.International journal of medical sciences · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesDiabetic nephropathy (DN) is one of the most prevalent secondary complications associated with diabetes mellitus. Decades of research have implicated multiple pathways in the etiology and pathophysiology of diabetic nephropathy. There has been no reliable predictive biomarkers for the onset or progression of DN and no successful treatments are available.
methodsIn the present study, we explored the datasets of RNA sequencing data from patients with Type II diabetes mellitus (T2DM)-induced nephropathy to identify a novel gene signature. We explored the target bioactive compounds identified from
resultsOur analysis identified lymphotoxin beta (LTB), SRY-box transcription factor 4 (SOX4), SOX9, and WAP four-disulfide core domain protein 2 (WFDC2) as novel signatures of T2DM-induced nephropathy. Additional analysis revealed the pathological involvement of the signature in cell-cell adhesion, immune, and inflammatory responses during diabetic nephropathy. Molecular docking and dynamic simulation at 100 ns conducted studies revealed that among the three compounds, Terpinen-4-ol exhibited higher binding efficacies (binding energies (ΔG) = -3.9~5.5 kcal/mol) against the targets. The targets, SOX4, and SOX9 demonstrated higher druggability towards the three compounds. WFDC2 was the least attractive target for the compounds.
conclusionThe present study was relevant in the diagnosis, prognosis, and treatment follow up of patients with diabetes induced nephropathy. The study provided an insight into the therapeutic application of the bioactive principles from
Indexed as
Identifiers
37560206PMC10408496What 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.