Evidence map›Paper›PMID 34650025›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2021

The Serum Metabolomics Study of Liver Failure and Artificial Liver Therapy Intervention.

Shipeng Huang, Dali Hu, Songsong Yuan, Ying He, Chengmu Li, Ying Zhu, Xiaoping Wu

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2021. 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
1.0field-weighted citation impact, top 24% 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, 6 citations in OpenAlex.

  1. Review
  2. Metabolomics in viral hepatitis: advances and review.Frontiers in cellular and infection microbiology · 2023
    Review
  3. 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 2 institutions in 1 country.

Shipeng HuangDepartment of Emergency, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China (mainland).
Dali HuDepartment of Infectious Disease, The First Affiliated Hospital of NanchangUniversity, Nanchang, Jiangxi, China (mainland).
Songsong YuanDepartment of Infectious Disease, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China (mainland).
Ying HeDepartment of Infectious Disease, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China (mainland).
Chengmu LiDepartment of Infectious Disease, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China (mainland).
Ying ZhuDepartment of Infectious Disease, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China (mainland).
Xiaoping WuDepartment of Infectious Disease, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China (mainland).
Nanchang University · CNFirst Affiliated Hospital of Nanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND This study was designed to study the serum metabolites of patients with liver failure. MATERIAL AND METHODS The study included 50 patients with liver failure, 30 patients with chronic hepatitis B treated with an artificial liver, 11 patients with an artificial liver, and 32 healthy controls. Clinical data were recorded, and blood samples were analyzed by gas chromatography-mass spectrometry (GC-MS). The random forest algorithm was used to construct a multidimensional scale map to preliminarily reflect the differences between samples. The data were then analyzed to obtain the correlation of different variables among samples, from which the differential metabolites were screened. RESULTS Thirty-five metabolites were identified by GC-MS. There were significant differences in serum metabolites levels before and after treatment in the liver failure group and in the chronic hepatitis group, healthy control group, and artificial liver group. Different metabolites were screened according to the importance of different variables among samples. Significant differences were found between the liver failure group, the chronic hepatitis group, and the healthy control group. In addition, there were significant differences in the liver group before and after treatment with an artificial liver, including differences in boric acid, 2-(methoxyamino)-propionic acid, glycine, l-methionine, aminopropionic acid, glyceryl monostearate, cholesterol, and other substances. CONCLUSIONS A variety of differences in metabolites were found in each group, some of which revealed possible metabolic pathways leading to differences between groups. Blood metabolomics analysis has great potential in real-time dynamic monitoring of liver failure and evaluation of artificial liver therapy.

Indexed as

Liver, ArtificialAdultBiomarkersCase-Control StudiesFemaleGas Chromatography-Mass SpectrometryHealthy VolunteersHepatitis B, ChronicHumansLiver FailureMaleMetabolomicsMiddle AgedTreatment OutcomeBiomarkers

Identifiers

PMID34650025
PMCPMC8525311
OpenAlexW3193148656

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.