Evidence map›Paper›PMID 30178754›Full record

ArticleAging2018

GC-MS-based metabolomics approach to diagnose depression in hepatitis B virus-infected patients with middle or old age.

Lijuan Hou, Xiaoxia Wei, Ya Zhuo, Lei Qin, Fang Yang, Lili Zhang, Xinwen Song

Open access · greenAbstract read
In one paragraph

Article in Aging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Urinary biomarkers for diagnosing poststroke depression in patients with type 2 diabetes mellitus.Diabetes, metabolic syndrome and obesity : targets and therapy · 2019
    Article
  11. 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 1 institution in 1 country.

Lijuan HouDepartment of Infectious Disease, The First Affiliated Hospital of Xinxiang Medical University, Weihu 453100, Henan, China.
Xiaoxia WeiDepartment of Infectious Disease, The First Affiliated Hospital of Xinxiang Medical University, Weihu 453100, Henan, China.
Ya ZhuoDepartment of Infectious Disease, The First Affiliated Hospital of Xinxiang Medical University, Weihu 453100, Henan, China.
Lei QinDepartment of Gastroenterology, The First Affiliated Hospital of Xinxiang Medical University, Weihu 453100, Henan, China.
Fang YangDepartment of Gastroenterology, The First Affiliated Hospital of Xinxiang Medical University, Weihu 453100, Henan, China.
Lili ZhangDepartment of Gastroenterology, The First Affiliated Hospital of Xinxiang Medical University, Weihu 453100, Henan, China.
Xinwen SongDepartment of Infectious Disease, The First Affiliated Hospital of Xinxiang Medical University, Weihu 453100, Henan, China.
First Affiliated Hospital of Xinxiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depression is concomitantly presented in hepatitis B virus (HBV)-infected patients (HB). However, there is still no objective method to diagnose HBV-infected patients with depression (dHB). Therefore, in this study, a gas chromatography-mass spectrometry (GC-MS)-based metabolomic approach was employed to profile urine samples from 59 dHB and 52 HB (the training set) in order to identify urinary metabolite biomarkers for dHB. Then, 41 dHB and 35 HB (the testing set) were used to independently validate the diagnostic generalizability of these biomarkers. In total, 13 differential metabolites responsible for the discrimination between dHB and HB were identified. These differential urinary metabolites belonged mainly to Lipid metabolism and Amino acid metabolism. A panel consisting of six urinary metabolite biomarkers (ethanolamine, azelaic acid, histidine, threitol, 2,4-dihydroxypyrimidine and levulinic acid) was identified. This panel was capable of distinguishing dHB from HB with an area under the receiver operating characteristic curve (AUC) of 0.986 in the training set. Moreover, this panel could classify blinded samples from the testing set with an AUC of 0.933. These findings indicated that the GC-MS-based metabolomics approach could be a useful tool in the clinical diagnosis of dHB, and the identified biomarkers were helpful for future developing an objective diagnostic method for dHB.

Indexed as

AdultAgedAmino AcidsBiomarkersDepressionFemaleGas Chromatography-Mass SpectrometryHepatitis BHumansMaleMetabolomicsMiddle AgedAmino AcidsBiomarkersbiomarkerdepressionhepatitis B virusmetabolomic

Identifiers

PMID30178754
PMCPMC6188484
OpenAlexW2889882539

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.