Evidence map›Paper›PMID 26459926›Full record

ArticleScientific reports2015

Three plasma metabolite signatures for diagnosing high altitude pulmonary edema.

Li Guo, Guangguo Tan, Ping Liu, Huijie Li, Lulu Tang, Lan Huang, Qian Ren

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

21 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. B2M is a Biomarker Associated With Immune Infiltration In High Altitude Pulmonary Edema.Combinatorial chemistry & high throughput screening · 2024
    Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Metabonomics window into plateau hypoxia.The Journal of international medical research · 2019
    Review
  13. Ceramide and Regulation of Vascular Tone.International journal of molecular sciences · 2019
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. 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

7 authors at 4 institutions in 1 country.

Li GuoDepartment of Cardiology, Xinqiao Hospital, Third Military Medical University, Chongqing 400042, China.
Guangguo TanDepartment of Pharmaceutical Analysis, School of Pharmacy, Fourth Military Medical University, Xi'an 710032, China.
Ping LiuDepartment of outpatient, No. 22 Hospital of PLA, Geermu 816000, China.
Huijie LiDepartment of Cardiology, Xinqiao Hospital, Third Military Medical University, Chongqing 400042, China.
Lulu TangState key laboratory of Medical Genetics and school of life sciences, central south university, changsha, 430013, China.
Lan HuangDepartment of Cardiology, Xinqiao Hospital, Third Military Medical University, Chongqing 400042, China.
Qian RenDepartment of Medical Teaching, Daping Hospital, Third Military Medical University, Chongqing 400042, China.
Army Medical University · CNAir Force Medical University · CNCentral South University · CNXinqiao Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-altitude pulmonary edema (HAPE) is a potentially fatal condition, occurring at altitudes greater than 3,000 m and affecting rapidly ascending, non-acclimatized healthy individuals. However, the lack of biomarkers for this disease still constitutes a bottleneck in the clinical diagnosis. Here, ultra-high performance liquid chromatography coupled with Q-TOF mass spectrometry was applied to study plasma metabolite profiling from 57 HAPE and 57 control subjects. 14 differential plasma metabolites responsible for the discrimination between the two groups from discovery set (35 HAPE subjects and 35 healthy controls) were identified. Furthermore, 3 of the 14 metabolites (C8-ceramide, sphingosine and glutamine) were selected as candidate diagnostic biomarkers for HAPE using metabolic pathway impact analysis. The feasibility of using the combination of these three biomarkers for HAPE was evaluated, where the area under the receiver operating characteristic curve (AUC) was 0.981 and 0.942 in the discovery set and the validation set (22 HAPE subjects and 22 healthy controls), respectively. Taken together, these results suggested that this composite plasma metabolite signature may be used in HAPE diagnosis, especially after further investigation and verification with larger samples.

Indexed as

MetabolomeMetabolomicsAdultAltitude SicknessBiomarkersBlood Gas AnalysisBlood PressureCase-Control StudiesChromatography, High Pressure LiquidFemaleHeart RateHumansHypertension, PulmonaryMaleMass SpectrometryROC CurveBiomarkers

Identifiers

PMID26459926
PMCPMC4602305
OpenAlexW2398774018

What OpenQuestion holds

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LicenceCC BY
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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.