Evidence map›Paper›PMID 31907157›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2019

[Mass spectrometry-based identification of new serum biomarkers in patients with multidrug resistant pulmonary tuberculosis].

Dongzi Lin, Wei Wang, Feng Qiu, Yumei Li, Xiaolin Yu, Bingyao Lin, Yinwen Chen, Chunyan Lei, Yan Ma, Jincheng Zeng and 1 more

Abstract read
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 50% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

11 authors at 1 institution in 1 country.

Dongzi LinDepartment of Laboratory Medicine, Foshan Forth People's Hospital, Foshan 528041, China.
Wei WangDepartment of Laboratory Medicine, Foshan Forth People's Hospital, Foshan 528041, China.
Feng QiuDepartment of Laboratory Medicine, Nanhai Hospital, Southern Medical University, Foshan 528244, China.
Yumei LiDepartment of Laboratory Medicine, Dongguan Sixth People's Hospital, Dongguan 523008, China.
Xiaolin YuDepartment of Laboratory Medicine, Dongguan Sixth People's Hospital, Dongguan 523008, China.
Bingyao LinDepartment of Laboratory Medicine, Foshan Forth People's Hospital, Foshan 528041, China.
Yinwen ChenDepartment of Laboratory Medicine, Dongguan Sixth People's Hospital, Dongguan 523008, China.
Chunyan LeiDepartment of Laboratory Medicine, Foshan Forth People's Hospital, Foshan 528041, China.
Yan MaDepartment of Laboratory Medicine, Foshan Forth People's Hospital, Foshan 528041, China.
Jincheng ZengDongguan Key Laboratory of Medical Bioactive Molecular Developmental and Translational Research, Guangdong Medical University, Dongguan 523808, China.
Jie ZhouDepartment of Laboratory Medicine, Foshan Forth People's Hospital, Foshan 528041, China.
Guangdong Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo screen new serum metabolic biomarkers for different drug resistance profiles of pulmonary tuberculosis (TB) and explore their mechanisms and functions.

methodsWe collected serum samples from TB patients with drug sensitivity (DS), monoresistance to isoniazid (MR-INH), monoresistance to rifampin (MR-RFP), multidrug resistance (MDR), and polyresistance (PR). The metabolites in the serum samples were extracted by oscillatory and deproteinization for LC-MS/MS analysis, and the results were normalized by Pareto-scaling method and analyzed using Metaboanalyst 4.0 software to identify the differential metabolites. The differential metabolites were characterized by function enrichment and co-expression analysis to explore their function and possible pathological mechanisms.

resultsCompared with the DS group, 286 abnormally expressed metabolites were identified in MR-INH group, 362 in MR-RPF group, 277 in MDR group and 1208 in PR group by LC-MS/MS analysis. Acetylagmatine (

conclusionsAcetylagmatine, aminopentol, tetracosanyl oleate, Ala His Pro Thr, glycinoprenol-9, trimethylamine, penaresidin A, verazine, PIP(18:1(11Z)/18:3(6Z, 9Z, 12Z)), Pro Arg Trp Tyr, N-methyldioctylamine, phytolaccoside E, phthalic acid mono-2-ethylhexyl ester, and eicosanoyl-EA are potentially new biomarkers that indicate monoresistance, multi-drug resistance and polyresistance of Mycobacterium tuberculosis. The combined use of these biomarkers potentially allows for assessment of drug resistance in TB and enhances the diagnostic sensitivity and specificity.

Indexed as

Tuberculosis, Multidrug-ResistantTuberculosis, PulmonaryBiomarkersChromatography, LiquidHumansTandem Mass SpectrometryBiomarkersdrug resistanceLC-MS/MSmetabolic markerspulmonary tuberculosisserum

Identifiers

PMID31907157
PMCPMC6942979
OpenAlexW3004549931

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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.