Evidence map›Paper›PMID 42701720›Full record

ArticleBioinformation2026

Computational insights for target prioritization and pesticide effects on intrauterine growth restriction (IUGR).

Adarsh Kumar Shukla, Anuj Kumar Tyagi, Sandeep Kumar

Abstract read
In one paragraph

Article in Bioinformation, 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

3 authors.

Adarsh Kumar ShuklaDepartment of Multidisciplinary Research Unit, Dr. Bhimrao Ramji Ambedkar Government Medical College, Kannauj, Uttar Pradesh, India, 209732.
Anuj Kumar TyagiDepartment of Multidisciplinary Research Unit, Dr. Bhimrao Ramji Ambedkar Government Medical College, Kannauj, Uttar Pradesh, India, 209732.
Sandeep KumarDepartment of Multidisciplinary Research Unit, Dr. Bhimrao Ramji Ambedkar Government Medical College, Kannauj, Uttar Pradesh, India, 209732.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intrauterine growth restriction (IUGR) is a leading cause of maternal and neonatal morbidity and mortality, particularly in low- and middle-income countries. Placental transcriptomics data were analysed to mapped dysregulated pathways via STRING-based PPI networks, identifying hubs and validating pesticide targets by molecular simulations. Rank-based prioritization identified IL7R, LCK and ZAP70 as top hub proteins driving placental dysfunction with cypermethrin exhibiting the lowest binding affinities across them (docking scores: -7.7, -8.7, -9.3 kcal/mol, respectively). Molecular dynamics simulations confirmed the stability of these docked complexes, while toxicity profiling indicated genotoxic potential for permethrin and high aquatic toxicity for deltamethrin. Thus, we show the critical molecular mediators linking pyrethroid exposure to IUGR, suggesting further experimental validation to support maternal health risk assessment.

Indexed as

Comparative toxicogenomicsintrauterine growth restriction (IUGR)molecular simulationsplacental transcriptomic datatoxicity profiling

Identifiers

PMID42701720
PMCPMC13545861

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.