Evidence map›Paper›PMID 41874122›Full record

ArticleJournal of xenobiotics2026

Glyphosate-Induced Metabolic and Immune Modulation in Hepatoma Cells: Identification of Key Genes as Diagnostic and Therapeutic Targets Using an In Silico Systems Biology Approach.

Divya Mishra

Abstract read
In one paragraph

Article in Journal of xenobiotics, 2026. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
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

1 author.

Divya MishraDepartment of Bioinformatics, Mahila Mahavidyalaya, Banaras Hindu University, Varanasi 221005, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glyphosate, one of the most widely used herbicides worldwide, has raised significant concerns regarding its potential involvement in hepatotoxicity and molecular changes associated with liver cancer biology. These concerns highlight the need to better understand its underlying molecular mechanisms in hepatoma cells. Emerging evidence suggests that glyphosate exposure may increase the risk of liver cancer and chronic liver disease. However, the precise molecular alterations and promising biomarkers associated with glyphosate-induced hepatic toxicity and disease remain largely unexplored. In this study, an RNA-Seq-based in silico systems biology approach was employed to elucidate glyphosate-induced differential transcriptional profiling in hepatoma cells. This analysis revealed significant transcriptional profiling characterized by the upregulated hub genes

Indexed as

diagnostic biomarkerglyphosatehepatoma cellsimmune modulationmetabolic dysregulationRNA-seq

Identifiers

PMID41874122
PMCPMC13010713

What Socratic holds

Textmetadata
LicenceCC BY
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.