Evidence map›Paper›PMID 37550384›Full record

ArticleScientific reports2023

Serum metabolomics of hyperbilirubinemia and hyperuricemia in the Tibetan plateau has unique characteristics.

Heng Zhang, Xianzong Ma, Junfeng Xu, Peng Jin, Lang Yang, Yuanming Pan, Fumei Yin, Jie Zhang, Jiheng Wang, Dongliang Yu and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. A metabolomic signatures in hyperuricemia: a systematic review.Metabolomics : Official journal of the Metabolomic Society · 2026
    Pooled it
  2. Review
  3. Article
  4. Article
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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

15 authors.

Heng Zhang *Medical School of Chinese PLA, Beijing, 100853, China.
Xianzong Ma *Medical School of Chinese PLA, Beijing, 100853, China.
Junfeng Xu *Senior Department of Gastroenterology, The First Medical Center of Chinese PLA General Hospital, Beijing, 100853, China.
Peng JinMedical School of Chinese PLA, Beijing, 100853, China.
Lang YangMedical School of Chinese PLA, Beijing, 100853, China.
Yuanming PanDepartment of Gastroenterology, The Seventh Medical Center of Chinese PLA General Hospital, No.5 Nanmencang, Beijing, 100700, China.
Fumei YinMedical School of Chinese PLA, Beijing, 100853, China.
Jie ZhangDepartment of Gastroenterology, The Seventh Medical Center of Chinese PLA General Hospital, No.5 Nanmencang, Beijing, 100700, China.
Jiheng WangMedical School of Chinese PLA, Beijing, 100853, China.
Dongliang YuDepartment of Gastroenterology, The Seventh Medical Center of Chinese PLA General Hospital, No.5 Nanmencang, Beijing, 100700, China.
Xiaoying WangDepartment of Gastroenterology, The Seventh Medical Center of Chinese PLA General Hospital, No.5 Nanmencang, Beijing, 100700, China.
Mingjie ZhangDepartment of Gastroenterology, The Seventh Medical Center of Chinese PLA General Hospital, No.5 Nanmencang, Beijing, 100700, China.
Xin WangDepartment of Gastroenterology, The Seventh Medical Center of Chinese PLA General Hospital, No.5 Nanmencang, Beijing, 100700, China. wangxin1@301hospital.com.cn.
Dezhi WangMedical School of Chinese PLA, Beijing, 100853, China. zilv_wang@126.com.
Jianqiu ShengMedical School of Chinese PLA, Beijing, 100853, China. shengjianqiu@301hospital.com.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Few studies have provided data on the metabolomics characteristics of metabolic diseases such as hyperuricemia and hyperbilirubinemia in the Tibetan plateau. In the current study, we sought to investigate the serum metabolomics characteristics of hyperbilirubinemia and hyperuricemia in the Tibetan plateau, with the aim to provide a basis for further research on their pathogenesis, prevention, and treatment. The study participants were born in low-altitude areas below 1000 m and had no prior experience living in a high-altitude area before entering Golmud, Tibet (average elevation: 3000 m) and Yushu, Qinghai (average elevation: 4200 m). Thirty-four participants with hyperbilirubinemia (18 in Golmud and 16 in Yushu), 24 participants with hyperuricemia, and 22 healthy controls were enrolled. The serum samples of subjects were separated and then sent to a local tertiary hospital for biochemical examination. Serum widely targeted technology, based on the ultra-performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) platform, was used to detect serum metabolites and differential metabolites. Compared to the healthy controls, hyperbilirubinemia patients from Golmud showed 19 differential metabolites, hyperbilirubinemia patients from Yushu showed 12 differential metabolites, and hyperuricemia patients from Yushu showed 23 differential metabolites. Compared to the hyperbilirubinemia patients from Golmud that is at a low altitude, the Yushu groups had 33 different metabolites. Differential metabolites are primarily classified into amino acids and their derivatives, nucleotides and their derivatives, organic acids and their derivatives, and lipids/fatty acids. These are related to metabolic pathways such as caffeine metabolism, arachidonic acid metabolism, and tyrosine metabolism. Hyperbilirubinemia and hyperuricemia in the Tibetan plateau have unique serum metabolomics characteristics. Glycine derivatives and arachidonic acid and its derivatives were associated with plateau hyperbilirubinemia, and vanillic acid and pentadecafluorooctanoic acid were associated with plateau hyperuricemia.

Indexed as

HyperuricemiaArachidonic AcidsChromatography, LiquidHumansHyperbilirubinemiaMetabolomicsTandem Mass SpectrometryTibetArachidonic Acids

Identifiers

PMID37550384
PMCPMC10406831

What Socratic holds

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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 Socratic graph.