Evidence map›Paper›PMID 37497682›Full record

ReviewCurrent molecular medicine2025

A Narrative Review of Signaling Pathway and Treatment Options for Diabetic Nephropathy.

Semwal Bhupesh, Neha Chauhan, Verma Jyoti, Kumar Ankit, Singh Sonia, Singh Bhupendra

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current molecular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 23% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Semwal BhupeshInstitute of Pharmaceutical Research, GLA University, Mathura, U.P. 281406, India.ORCID 0000-0003-4351-6587
Neha ChauhanInstitute of Pharmaceutical Research, GLA University, Mathura, U.P. 281406, India.
Verma JyotiInstitute of Pharmaceutical Research, GLA University, Mathura, U.P. 281406, India.
Kumar AnkitInstitute of Pharmaceutical Research, GLA University, Mathura, U.P. 281406, India.
Singh SoniaInstitute of Pharmaceutical Research, GLA University, Mathura, U.P. 281406, India.
Singh BhupendraInstitute of Pharmaceutical Research, GLA University, Mathura, U.P. 281406, India.
GLA University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetic nephropathy is a progressive kidney disease that frequently results in end-stage renal disorders and is characterized by proteinuria, albuminuria, decreased filtration, and renal fibrosis. Despite the fact that there are a number of therapeutic alternatives available, DN continues to be the main contributor to end-stage renal disease. Therefore, significant innovation is required to enhance outcomes in DN patients.

methodsInformation was collected from online search engines like, Google Scholar, Web of Science, PubMed, Scopus, and Sci-Hub databases using keywords like diabetes, nephropathy, kidney disease, autophagy, etc. Results: Natural compounds have anti-inflammatory and antioxidant properties and impact various signaling pathways. They ameliorate kidney damage by decreasing oxidative stress, inflammatory process, and fibrosis and enhance the antioxidant system, most likely by activating and deactivating several signaling pathways. This review focuses on the role of metabolic memory and various signaling pathways involved in the pathogenesis of DN and therapeutic approaches available for the management of DN. Special attention is given to the various pathways modulated by the phytoconstituents.

Indexed as

Diabetic NephropathiesSignal TransductionAnimalsAntioxidantsHumansOxidative StressAntioxidantsantioxidantautophagyDiabetesdiabetic nephropathymetabolic memoryphytoconstituents.

Identifiers

PMID37497682
OpenAlexW4385294743

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.