Evidence map›Paper›PMID 36180894›Full record

ArticleClinical epigenetics2022

Differential methylation in EGLN1 associates with blood oxygen saturation and plasma protein levels in high-altitude pulmonary edema.

Kavita Sharma, Aastha Mishra, Himanshu Singh, Tashi Thinlas, M A Qadar Pasha

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Advances in Understanding Adaptive Hemoglobin Concentration at High Altitude.American journal of human biology : the official journal of the Human Biology Council · 2025
    Article
  9. Review
  10. [Research Progress in the Role of Hypoxia-Inducible Factor 1 in Altitude Sickness and the Mechanisms Involved].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2024
    Review
  11. Article
  12. Hypobaric hypoxia modulated structural characteristics of circulating cell-free DNA in high-altitude pulmonary edema.American journal of physiology. Lung cellular and molecular physiology · 2024
    Article
  13. 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

5 authors at 2 institutions in 2 countries.

Kavita SharmaGenomics and Molecular Medicine, CSIR-Institute of Genomics and Integrative Biology, Delhi, India.
Aastha MishraGenomics and Molecular Medicine, CSIR-Institute of Genomics and Integrative Biology, Delhi, India.
Himanshu SinghGenomics and Molecular Medicine, CSIR-Institute of Genomics and Integrative Biology, Delhi, India.
Tashi ThinlasSNM Hospital, Leh, Ladakh, India.
M A Qadar PashaGenomics and Molecular Medicine, CSIR-Institute of Genomics and Integrative Biology, Delhi, India. qadarpasha@hotmail.com.ORCID 0000-0003-4126-6860
Institute of Genomics and Integrative Biology · INCollege of Medicine & JNM Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh-altitude (HA, 2500 m) hypoxic exposure evokes a multitude of physiological processes. The hypoxia-sensing genes though influence transcriptional output in disease susceptibility; the exact regulatory mechanisms remain undetermined in high-altitude pulmonary edema (HAPE). Here, we investigated the differential DNA methylation distribution in the two genes encoding the oxygen-sensing HIF-prolyl hydroxylases, prolyl hydroxylase domain protein 2 (PHD2) and factor inhibiting HIF-1α and the consequent contributions to the HAPE pathophysiology.

methodsDeep sequencing of the sodium bisulfite converted DNA segments of the two genes, Egl nine homolog 1 (EGLN1) and Hypoxia Inducible Factor 1 Subunit Alpha Inhibitor (HIF1AN), was conducted to analyze the differential methylation distribution in three study groups, namely HAPE-patients (HAPE-p), HAPE-free sojourners (HAPE-f) and healthy HA natives (HLs). HAPE-p and HAPE-f were permanent residents of low altitude (< 200 m) of North India who traveled to Leh (3500 m), India, and were recruited through Sonam Norboo Memorial (SNM) hospital, Leh. HLs were permanent residents of altitudes at and above 3500 m. In addition to the high resolution, bisulfite converted DNA sequencing, gene expression of EGLN1 and HIF1AN and their plasma protein levels were estimated.

resultsA significantly lower methylation distribution of CpG sites was observed in EGLN1 and higher in HIF1AN (P < 0.01) in HAPE-p compared to the two control groups, HAPE-f and HLs. Of note, differential methylation distribution of a few CpG sites, 231,556,748, 231,556,804, 231,556,881, 231,557,317 and 231,557,329, in EGLN1 were significantly associated with the risk of HAPE (OR = 4.79-10.29; P = 0.048-004). Overall, the methylation percentage in EGLN1 correlated with upregulated plasma PHD2 levels (R = - 0.36, P = 0.002) and decreased peripheral blood oxygen saturation (SpO

conclusionsSignificantly lower methylation distribution in EGLN1 and the consequent physiological influences annotated its functional epigenetic relevance in the HAPE pathophysiology.

Indexed as

AltitudePulmonary EdemaAltitude SicknessBlood ProteinsDNADNA MethylationHumansHypertension, PulmonaryHypoxia-Inducible Factor 1Hypoxia-Inducible Factor-Proline DioxygenasesOxygenOxygen SaturationProlyl HydroxylasesBlood ProteinsDNAEGLN1 protein, humanHypoxia-Inducible Factor 1Hypoxia-Inducible Factor-Proline DioxygenasesOxygenProlyl HydroxylasesDNA methylationsFactor inhibiting HIF-1αHigh altitudeHypobaric hypoxiaProlyl hydroxylase domain protein 2Prolyl hydroxylases

Identifiers

PMID36180894
PMCPMC9526282
OpenAlexW4298147466

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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.