Evidence map›Paper›PMID 35875936›Full record

ArticleThe Journal of physiology2022

Inflammatory gene expression during acute high-altitude exposure.

Kathy Pham, Shyleen Frost, Keval Parikh, Nikhil Puvvula, Britney Oeung, Erica C Heinrich

Open access · hybridAbstract read
In one paragraph

Article in The Journal of physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
10.5field-weighted citation impact, top 1% of its field
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

42 citing papers in PubMed, 64 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

6 authors at 1 institution in 1 country.

Kathy PhamDivision of Biomedical Sciences, School of Medicine, University of California Riverside, Riverside, CA, USA.ORCID 0000-0002-3710-5899
Shyleen FrostDivision of Biomedical Sciences, School of Medicine, University of California Riverside, Riverside, CA, USA.
Keval ParikhDivision of Biomedical Sciences, School of Medicine, University of California Riverside, Riverside, CA, USA.
Nikhil PuvvulaDivision of Biomedical Sciences, School of Medicine, University of California Riverside, Riverside, CA, USA.
Britney OeungDivision of Biomedical Sciences, School of Medicine, University of California Riverside, Riverside, CA, USA.
Erica C HeinrichDivision of Biomedical Sciences, School of Medicine, University of California Riverside, Riverside, CA, USA.ORCID 0000-0002-6861-6165
University of California, Riverside · US

Funding

Illumina NovaSeq 6000 Sequencing SystemS10OD026929 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JEPSEN, KRISTEN LYNN · 2019 to 2019
$600k
NIH HHS S10 OD026929
6 · The paper itself

Abstract

The molecular signalling pathways that regulate inflammation and the response to hypoxia share significant crosstalk and appear to play major roles in high-altitude acclimatization and adaptation. Several studies demonstrate increases in circulating candidate inflammatory markers during acute high-altitude exposure, but significant gaps remain in our understanding of how inflammation and immune function change at high altitude and whether these responses contribute to high-altitude pathologies, such as acute mountain sickness. To address this, we took an unbiased transcriptomic approach, including RNA sequencing and direct digital mRNA detection with NanoString, to identify changes in the inflammatory profile of peripheral blood throughout 3 days of high-altitude acclimatization in healthy sea-level residents (n = 15; five women). Several inflammation-related genes were upregulated on the first day of high-altitude exposure, including a large increase in HMGB1 (high mobility group box 1), a damage-associated molecular pattern (DAMP) molecule that amplifies immune responses during tissue injury. Differentially expressed genes on the first and third days of acclimatization were enriched for several inflammatory pathways, including nuclear factor-κB and Toll-like receptor (TLR) signalling. Indeed, both TLR4 and LY96, which encodes the lipopolysaccharide binding protein (MD-2), were upregulated at high altitude. Finally, FASLG and SMAD7 were associated with acute mountain sickness scores and peripheral oxygen saturation levels on the first day at high altitude, suggesting a potential role of immune regulation in response to high-altitude hypoxia. These results indicate that acute high-altitude exposure upregulates inflammatory signalling pathways and might sensitize the TLR4 signalling pathway to subsequent inflammatory stimuli. KEY POINTS: Inflammation plays a crucial role in the physiological response to hypoxia. High-altitude hypoxia exposure causes alterations in the inflammatory profile that might play an adaptive or maladaptive role in acclimatization. In this study, we characterized changes in the inflammatory profile following acute high-altitude exposure. We report upregulation of novel inflammation-related genes in the first 3 days of high-altitude exposure, which might play a role in immune system sensitization. These results provide insight into how hypoxia-induced inflammation might contribute to high-altitude pathologies and exacerbate inflammatory responses in critical illnesses associated with hypoxaemia.

Indexed as

Altitude SicknessAcclimatizationAltitudeFemaleGene ExpressionHumansHypoxiaInflammationToll-Like Receptor 4Toll-Like Receptor 4acute mountain sicknesshigh altitudehypoxiainflammation

Identifiers

PMID35875936
PMCPMC9481729
OpenAlexW4287218162

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.