Evidence map›Paper›PMID 27228119›Full record

Trial reportPloS one2016

Covariation Analysis of Serumal and Urinary Metabolites Suggests Aberrant Glycine and Fatty Acid Metabolism in Chronic Hepatitis B.

Linlin Yang, Xue Yang, Xiangliang Kong, Zhiwei Cao, Yongyu Zhang, Yiyang Hu, Kailin Tang

Open access · goldAbstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.2field-weighted citation impact, top 36% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Metabolomics in viral hepatitis: advances and review.Frontiers in cellular and infection microbiology · 2023
    Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. 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 3 institutions in 1 country.

Linlin YangSchool of Life Science and Technology, Tongji University, Shanghai, China.ORCID http://orcid.org/0000-0002-2849-700X
Xue YangChanghai hospital of traditional Chinese Medicine, Second Military medical university, Shanghai, China.
Xiangliang KongShanghai University of Traditional Chinese Medicine, Shanghai, China.
Zhiwei CaoSchool of Life Science and Technology, Tongji University, Shanghai, China.
Yongyu ZhangShanghai University of Traditional Chinese Medicine, Shanghai, China.
Yiyang HuInstitute of Liver Diseases, Shuguang Hospital, Key Laboratory of Liver and Kidney Diseases of Ministry of Education, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Kailin TangSchool of Life Science and Technology, Tongji University, Shanghai, China.
Shanghai University of Traditional Chinese Medicine · CNTongji University · CNSecond Military Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic hepatitis b (CHB) is one of the most serious viral diseases threatening human health by putting patients at lifelong risk of cirrhosis and hepatocellular carcinoma (HCC). Although some proofs of altered metabolites in CHB were accumulated, its metabolic mechanism remains poorly understood. Analyzing covariations between metabolites may provide new hints toward underlying metabolic pathogenesis in CHB patients.

methodsThe present study collected paired urine and serum samples from the same subjects including 145 CHB and 23 healthy controls. A large-scale analysis of metabolites' covariation within and across biofluids was systematically done to explore the underlying biological evidences for reprogrammed metabolism in CHB. Randomization and relative ranking difference were introduced to reduce bias caused by different sample size. More importantly, functional indication was interpreted by mapping differentially changed covariations to known metabolic pathways.

resultsOur results suggested reprogrammed pathways related to glycine metabolism, fatty acids metabolism and TCA cycle in CHB patients. With further improvement, the covariation analysis combined with network association study would pave new alternative way to interpret functional clues in clinical multi-omics data.

Indexed as

AdolescentAdultAgedBiomarkersCase-Control StudiesFatty AcidsFemaleGas Chromatography-Mass SpectrometryGlycineHepatitis B, ChronicHepatitis B virusHumansMaleMetabolomicsMiddle AgedYoung AdultBiomarkersFatty AcidsGlycine

Identifiers

PMID27228119
PMCPMC4881891
OpenAlexW2406681437

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.