Evidence map›Paper›PMID 35770013›Full record

ArticleFrontiers in medicine2022

Metabolomic Analysis Uncovers Lipid and Amino Acid Metabolism Disturbance During the Development of Ascites in Alcoholic Liver Disease.

Cheng Cheng, Ming-Xi Zhou, Xian He, Yao Liu, Ying Huang, Ming Niu, Yi-Xuan Liu, Yuan Gao, Ya-Wen Lu, Xin-Hua Song and 4 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  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

14 authors at 3 institutions in 1 country.

Cheng ChengCollege of Chinese Medicine and Food Engineering, Shanxi University of Traditional Chinese Medicine, Jinzhong, China.
Ming-Xi ZhouDepartment of Hepatology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
Xian HeDepartment of Hepatology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
Yao LiuSchool of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Ying HuangDepartment of Hepatology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
Ming NiuDepartment of Hepatology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
Yi-Xuan LiuCollege of Chinese Medicine and Food Engineering, Shanxi University of Traditional Chinese Medicine, Jinzhong, China.
Yuan GaoSchool of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Ya-Wen LuSchool of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Xin-Hua SongSchool of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Hui-Fang LiCollege of Chinese Medicine and Food Engineering, Shanxi University of Traditional Chinese Medicine, Jinzhong, China.
Xiao-He XiaoDepartment of Hepatology, The Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
Jia-Bo WangSchool of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Zhi-Tao MaSchool of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Capital Medical University · CNChinese PLA General Hospital · CNShanxi University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ascites is one of the most common complications of cirrhosis, and there is a dearth of knowledge about ascites-related pathologic metabolism. In this study, 122 alcoholic liver disease (ALD) patients, including 49 cases without ascites, 18 cases with mild-ascites, and 55 cases with large-ascites (1) were established according to the International Ascites Club (2), and untargeted metabolomics coupled with pattern recognition approaches were performed to profile and extract metabolite signatures. A total of 553 metabolites were uniquely discovered in patients with ascites, of which 136 metabolites had been annotated in the human metabolome database. Principal component analysis (PCA) analysis was used to further identify 21 ascites-related fingerprints. The eigenmetabolite calculated by reducing the dimensions of the 21 metabolites could be used to effectively identify those ALD patients with or without ascites. The eigenmetabolite showed a decreasing trend during ascites production and accumulation and was negatively related to the disease progress. These metabolic fingerprints mainly belong to the metabolites in lipid metabolism and the amino acid pathway. The results imply that lipid and amino acid metabolism disturbance may play a critical role in the development of ascites in ALD patients and could be a potent prognosis marker.

Indexed as

alcohol liver diseaseamino acid metabolism disturbanceasciteslipid metabolism disturbanceuntargeted metabolomic

Identifiers

PMID35770013
PMCPMC9234647
OpenAlexW4282841439

What Socratic holds

Textmetadata
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 Socratic graph.