Evidence map›Paper›PMID 40002675›Full record

ReviewBiomedicines2025

Heatstroke-Induced Inflammatory Response and Therapeutic Biomarkers.

Piyush Baindara, Aritra Jana, Roy Dinata, Santi M Mandal

Abstract readReview
In one paragraph

Review in Biomedicines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
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  7. Review
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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.

Piyush BaindaraAnimal Sciences Research Center, Division of Animal Sciences, University of Missouri, Columbia, MO 65201, USA.ORCID 0000-0001-5620-633X
Aritra JanaWhitney M. Young Magnet High School Chicago, Chicago, IL 60607, USA.
Roy DinataDepartment of Biological Sciences, Indian Institute of Science Education and Research, Kolkata 741246, India.
Santi M MandalDepartment of Chemistry and Biochemistry, University of California San Diego, San Diego, CA 92093, USA.ORCID 0000-0002-0119-7138

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, heatstroke has become one of the most dangerous illnesses associated with hyperthermia. Hyperthermia is described as an increased body temperature, where there is more heat accrual than dissipation, which happens during environmental heat stress conditions or exhaustive exercise and subsequently leads to heatstroke. Heatstroke is characterized as a dysfunction of the central nervous system (CNS), associated with neuroinflammation, including utmost hyperthermia, which eventually leads to multiorgan failure. Heatstroke-related fatalities have rapidly increased in the recent past; however, there is still a gap in the understanding of heatstroke and associated outcomes during heatstroke. Especially of note, early diagnosis of heatstroke-related complications is one of the important aspects that need to be addressed. This article reviewed current knowledge about heatstroke and associated inflammatory responses, including neuroinflammation and other clinical complications. Using molecular dynamics simulation analysis of triose phosphate isomerase (a housekeeping enzyme) at different temperatures, we demonstrated how protein structures, and thus their functions, can be varied with temperature increases. Additionally, we discussed therapeutically relevant biomarkers of heatstroke which might be helpful in the early detection of heatstroke possibilities and candidate drug targets to control or minimize heatstroke events.

Indexed as

biomarkersheatstrokehyperthermiainflammationmultiorgan failureneuroinflammation

Identifiers

PMID40002675
PMCPMC11852420

What OpenQuestion holds

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Registered trials

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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.