Evidence map›Paper›PMID 38773195›Full record

ArticleScientific reports2024

Identification of blood exosomal metabolomic profiling for high-altitude cerebral edema.

Quan Tang, Fangcheng Fan, Lei Chen, Yuewen Chen, Lin Yuan, Lili Wang, Huan Xu, Yan Zhang, Yong Cheng

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

  1. 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

9 authors.

Quan Tang *Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Center on Translational Neuroscience, College of Life and Environmental Sciences, Minzu University of China, Beijing, China.
Fangcheng Fan *Key Laboratory of Ethnomedicine of Ministry of Education, School of Pharmacy, Minzu University of China, Beijing, China.
Lei ChenKey Laboratory of Ethnomedicine of Ministry of Education, School of Pharmacy, Minzu University of China, Beijing, China.
Yuewen ChenChinese Academy of Sciences Key Laboratory of Brain Connectome and Manipulation, Shenzhen Key Laboratory of Translational Research for Brain Diseases, The Brain Cognition and Brain Disease Institute, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; Shenzhen-Hong Kong Institute of BrainScience-Shenzhen Fundamental Research Institutions, Shenzhen, China.
Lin YuanGuangdong Provincial Key Laboratory of Brain Science, Disease and Drug Development, HKUST Shenzhen Research Institute, Shenzhen, China.
Lili WangKey Laboratory of Mass Spectrometry Imaging and Metabolomics, Center on Translational Neuroscience, College of Life and Environmental Sciences, Minzu University of China, Beijing, China.
Huan XuDepartment of Clinical Laboratory, The General Hospital of Tibet Military Command, Lhasa, China. answerxh@126.com.
Yan ZhangKey Laboratory of Mass Spectrometry Imaging and Metabolomics, Center on Translational Neuroscience, College of Life and Environmental Sciences, Minzu University of China, Beijing, China. zhangyan@muc.edu.cn.
Yong ChengKey Laboratory of Mass Spectrometry Imaging and Metabolomics, Center on Translational Neuroscience, College of Life and Environmental Sciences, Minzu University of China, Beijing, China. yongcheng@muc.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-altitude cerebral edema (HACE) is a severe neurological condition that can occur at high altitudes. It is characterized by the accumulation of fluid in the brain, leading to a range of symptoms, including severe headache, confusion, loss of coordination, and even coma and death. Exosomes play a crucial role in intercellular communication, and their contents have been found to change in various diseases. This study analyzed the metabolomic characteristics of blood exosomes from HACE patients compared to those from healthy controls (HCs) with the aim of identifying specific metabolites or metabolic pathways associated with the development of HACE conditions. A total of 21 HACE patients and 21 healthy controls were recruited for this study. Comprehensive metabolomic profiling of the serum exosome samples was conducted using ultraperformance liquid chromatography-tandem mass spectrometry (UPLC‒MS/MS). Additionally, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was performed to identify the metabolic pathways affected in HACE patients. Twenty-six metabolites, including ( +)-camphoric acid, choline, adenosine, adenosine 5'-monophosphate, deoxyguanosine 5'-monophosphate, guanosine, and hypoxanthine-9-β-D-arabinofuranoside, among others, exhibited significant changes in expression in HACE patients compared to HCs. Additionally, these differentially abundant metabolites were confirmed to be potential biomarkers for HACE. KEGG pathway enrichment analysis revealed several pathways that significantly affect energy metabolism regulation (such as purine metabolism, thermogenesis, and nucleotide metabolism), estrogen-related pathways (the estrogen signaling pathway, GnRH signaling pathway, and GnRH pathway), cyclic nucleotide signaling pathways (the cGMP-PKG signaling pathway and cAMP signaling pathway), and hormone synthesis and secretion pathways (renin secretion, parathyroid hormone synthesis, secretion and action, and aldosterone synthesis and secretion). In patients with HACE, adenosine, guanosine, and hypoxanthine-9-β-D-arabinofuranoside were negatively correlated with height. Deoxyguanosine 5'-monophosphate is negatively correlated with weight and BMI. Additionally, LPE (18:2/0:0) and pregnanetriol were positively correlated with age. This study identified potential biomarkers for HACE and provided valuable insights into the underlying metabolic mechanisms of this disease. These findings may lead to potential targets for early diagnosis and therapeutic intervention in HACE patients.

Indexed as

BiomarkersBrain EdemaExosomesMetabolomicsAdultAltitudeAltitude SicknessCase-Control StudiesFemaleHumansMaleMetabolic Networks and PathwaysMetabolomeMiddle AgedTandem Mass SpectrometryBiomarkersBloodExosomeHigh-altitude cerebral edema (HACE)Metabolomics

Identifiers

PMID38773195
PMCPMC11109199

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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.