Evidence map›Paper›PMID 41240302›Full record

ReviewBiological trace element research2026

A Mechanistic Insight into the Autophagy Induced by Cadmium and Other Heavy Metals in Testes.

Harish Panchal, Neha Patwa

Abstract readReview
PubMed Publisher
In one paragraph

Review in Biological trace element research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Harish PanchalDepartment of Zoology, Shri Ramasamy Memorial University Sikkim, Gangtok, 737102, India. harishpanchal15@gmail.com.
Neha PatwaDepartment of Biotechnology, Kurukshetra University, Kurukshetra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In testicular pathologies mediated by heavy metals, especially cadmium, defective and overactive autophagy have been reported previously. Additionally, it has been demonstrated to work in a way that is either pro-death or pro-survival by promoting, opposing, or cooperating with apoptosis. As a result, there is still much debate over the most basic question in toxicological research, how autophagy in testicular tissue functions as both a protector and an executor of cell death. The present review is an attempt to delineate the molecular mechanism of autophagy induced by heavy metals, especially cadmium, in testicular cells of different species. Understanding the mechanism of action will pave the way towards the development of new strategies to offset the Cd and other heavy metals mediated testicular toxicity. Cadmium and other heavy metals induced autophagic cell death in testes mediated via mechanism involving DNA damage, endoplasmic reticulum (ER) stress, disrupted integrity of blood-testis-barrier, and disruption of mitophagy. Primarily ATM/AMPK/mTOR axis and Rictor/mTOR2 pathway has been shown to involve into the autophagic process in testicular tissue upon exposure to heavy metals, particularly cadmium. However, depending on the circumstances, autophagy can also have pro-survival effects. Probably, the dosage and duration of heavy metals treatment may have varying effects on the autophagic activities of testicular cells. In this regard, cross-talk between autophagy and other cell death mechanisms like apoptosis is of particular interest, and thus further studies should focus more on this aspect.

Indexed as

AutophagyCadmiumMetals, HeavyTestisAnimalsApoptosisDNA DamageEndoplasmic Reticulum StressHumansMaleCadmiumMetals, HeavyAutophagyCadmiumHeavy metalsTestisToxicity

Identifiers

PMID41240302

What OpenQuestion 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 OpenQuestion graph.