Evidence map›Paper›PMID 42079029›Full record

ArticleIranian journal of basic medical sciences2026

Mohammad Moonis, Mirza Sarwer Baig, Divya Vohora, Syed Ehtaishamul Haque

Abstract read
In one paragraph

Article in Iranian journal of basic medical sciences, 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. 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

4 authors.

Mohammad MoonisDepartment of Pharmacology, School of Pharmaceutical Education and Research (SPER), Jamia Hamdard, New Delhi-110062, India.
Mirza Sarwer BaigCentre for Virology, School of Interdisciplinary Sciences & Technology (SIST), Jamia Hamdard, New Delhi-110062, India.
Divya VohoraDepartment of Pharmacology, School of Pharmaceutical Education and Research (SPER), Jamia Hamdard, New Delhi-110062, India.
Syed Ehtaishamul HaqueDepartment of Pharmacology, School of Pharmaceutical Education and Research (SPER), Jamia Hamdard, New Delhi-110062, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To investigate rotundic acid (RA), a triterpenoid, for its protective role against the cyclophosphamide (CP) induced cardiotoxicity in Swiss albino mice, as CP, although a potent anticancer drug, induces severe cardiotoxicity as a side effect in cancer patients. Thus, this study was a step towards developing an adjuvant that can reduce the toxicity of CP during cancer treatment. Materials and Methods: Animals were randomly assigned to 7 groups. Control; CP 200; RA 10 + CP 200; RA 20 + CP 200; RA 40 + CP 200; NER 400 + CP 200 and RA 40 Results: CP 200 mg/kg, IP, enhanced the level of cardiac troponin T, CK-MB, LDH, NF-κB, TLR4, TNF-α, IL-6, IL-Iβ, cleaved caspase-3, TBARS, nitrite, and reduced the level of CAT, GSH, and SOD, resulting in cardiac injury, nitrative stress, oxidative stress, inflammation, and fibrosis. Administration of RA and nerolidol substantially reversed these pathological modifications to normal. Molecular docking study showed that RA strongly binds to the pocket domains of TLR-4 and cleaves caspase-3. Conclusion: The findings suggest that RA has the potential to reduce the toxicity of CP in the heart and can be utilized as an additional treatment for cancer therapy, along with CP. However, further research using animal models for cancer is required to confirm this.

Indexed as

CancerCardiac fibrosisCardiac inflammationCardiotoxicityCyclophosphamideOxidative stressRotundic acidSwiss albino mice

Identifiers

PMID42079029
PMCPMC13135186

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.