Evidence map›Paper›PMID 35668171›Full record

ArticleCommunications biology2022

Proteomic and clinical biomarkers for acute mountain sickness in a longitudinal cohort.

Jing Yang, Zhilong Jia, Xinyu Song, Jinlong Shi, Xiaoreng Wang, Xiaojing Zhao, Kunlun He

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 25 citations in OpenAlex.

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  17. Altitude illnesses.Nature reviews. Disease primers · 2024
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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

7 authors at 1 institution in 1 country.

Jing Yang *Medical School of Chinese PLA, Chinese PLA General Hospital, Beijing, China.ORCID 0000-0003-1780-1659
Zhilong Jia *Key Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Chinese PLA General Hospital, Beijing, China. jiazhilong@plagh.org.ORCID 0000-0003-2370-5073
Xinyu SongKey Laboratory of Biomedical Engineering and Translational Medicine, Ministry of Industry and Information Technology, Chinese PLA General Hospital, Beijing, China.ORCID 0000-0002-1905-3503
Jinlong ShiResearch Center for Medical Big Data, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, China.
Xiaoreng WangLaboratory of Radiation Injury Treatment, Medical Innovation Research Division, PLA General Hospital, Beijing, China.
Xiaojing ZhaoBeijing Key Laboratory of Chronic Heart Failure Precision Medicine, Chinese PLA General Hospital, Beijing, China.
Kunlun HeMedical School of Chinese PLA, Chinese PLA General Hospital, Beijing, China. kunlunhe@plagh.org.ORCID 0000-0002-3335-5700
Chinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ascending to high-altitude by non-high-altitude natives is a well-suited model for studying acclimatization to extreme environments. Acute mountain sickness (AMS) is frequently experienced by visitors. The diagnosis of AMS mainly depends on a self-questionnaire, revealing the need for reliable biomarkers for AMS. Here, we profiled 22 AMS symptom phenotypes, 65 clinical indexes, and plasma proteomic profiles of AMS via a combination of proximity extension assay and multiple reaction monitoring of a longitudinal cohort of 53 individuals. We quantified 1069 proteins and validated 102 proteins. Via differential analysis, machine learning, and functional association analyses. We found and validated that RET played an important role in the pathogenesis of AMS. With high-accuracies (AUCs > 0.9) of XGBoost-based models, we prioritized ADAM15, PHGDH, and TRAF2 as protective, predictive, and diagnostic biomarkers, respectively. Our findings shed light on the precision medicine for AMS and the understanding of acclimatization to high-altitude environments.

Indexed as

Altitude SicknessAcute DiseaseADAM ProteinsAltitudeBiomarkersHumansMembrane ProteinsProteomicsADAM15 protein, humanADAM ProteinsBiomarkersMembrane Proteins

Identifiers

PMID35668171
PMCPMC9170681
OpenAlexW4281694525

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.