Evidence map›Paper›PMID 26884721›Full record

ArticleInternational journal of biological sciences2016

A Group of Novel Serum Diagnostic Biomarkers for Multidrug-Resistant Tuberculosis by iTRAQ-2D LC-MS/MS and Solexa Sequencing.

Chong Wang, Chang-Ming Liu, Li-Liang Wei, Li-Ying Shi, Zhi-Fen Pan, Lian-Gen Mao, Xiao-Chen Wan, Ze-Peng Ping, Ting-Ting Jiang, Zhong-Liang Chen and 2 more

Open access · goldAbstract read
In one paragraph

Article in International journal of biological sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 4% 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.

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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

12 authors at 4 institutions in 1 country.

Chong Wang1. Institute of Cell Biology, Zhejiang University, Hangzhou 310058, P.R. China.
Chang-Ming Liu1. Institute of Cell Biology, Zhejiang University, Hangzhou 310058, P.R. China.
Li-Liang Wei2. Department of Respiratory Medicine, The Sixth Hospital of Shaoxing, Shaoxing 312000, P.R. China.
Li-Ying Shi3. Department of Clinical Laboratory, Zhejiang Hospital, Hangzhou 310013, P.R. China.
Zhi-Fen Pan4. Department of Tuberculosis, The First Hospital of Jiaxing, Jiaxing 314001, P.R. China.
Lian-Gen Mao1. Institute of Cell Biology, Zhejiang University, Hangzhou 310058, P.R. China.
Xiao-Chen Wan3. Department of Clinical Laboratory, Zhejiang Hospital, Hangzhou 310013, P.R. China.
Ze-Peng Ping1. Institute of Cell Biology, Zhejiang University, Hangzhou 310058, P.R. China.
Ting-Ting Jiang1. Institute of Cell Biology, Zhejiang University, Hangzhou 310058, P.R. China.
Zhong-Liang Chen1. Institute of Cell Biology, Zhejiang University, Hangzhou 310058, P.R. China.
Zhong-Jie Li1. Institute of Cell Biology, Zhejiang University, Hangzhou 310058, P.R. China.
Ji-Cheng Li1. Institute of Cell Biology, Zhejiang University, Hangzhou 310058, P.R. China.
Zhejiang University · CNZhejiang Hospital · CNFirst Hospital of Jiaxing · CNShaoxing People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The epidemic of pulmonary tuberculosis (TB), especially multidrug-resistance tuberculosis (MDR-TB) presented a major challenge for TB treatment today. We performed iTRAQ labeling coupled with two-dimensional liquid chromatography-tandem mass spectrometry (2D LC-MS/MS) and Solexa sequencing among MDR-TB patients, drug-sensitive tuberculosis (DS-TB) patients, and healthy controls. A total of 50 differentially expressed proteins and 43 differentially expressed miRNAs (fold change >1.50 or <0.60, P<0.05) were identified in the MDR-TB patients compared to both DS-TB patients and healthy controls. We found that 22.00% of differentially expressed proteins and 32.56% of differentially expressed miRNAs were related, and could construct a network mainly in complement and coagulation cascades. Significant differences in CD44 antigen (CD44), coagulation factor XI (F11), kininogen-1 (KNG1), miR-4433b-5p, miR-424-5p, and miR-199b-5p were found among MDR-TB patients, DS-TB patients and healthy controls (P<0.05) by enzyme-linked immunosorbent assay (ELISA) and SYBR green qRT-PCR validation. A strong negative correlation, consistent with the target gene prediction, was found between miR-199b-5p and KNG1 (r=-0.232, P=0.017). Moreover, we established the MDR-TB diagnostic model based on five biomarkers (CD44, KNG1, miR-4433b-5p, miR-424-5p, and miR-199b-5p). Our study proposes potential biomarkers for MDR-TB diagnosis, and also provides a new experimental basis to understand the pathogenesis of MDR-TB.

Indexed as

AdultAgedBiomarkersChromatography, LiquidData MiningDecision TreesFemaleHumansMaleMicroRNAsMiddle AgedProteomicsROC CurveSequence AnalysisTandem Mass SpectrometryTranscriptomeBiomarkersMicroRNAsbiomarkersmultidrug-resistance tuberculosisproteomicserumtranscriptomic

Identifiers

PMID26884721
PMCPMC4737680
OpenAlexW2399264881

What OpenQuestion holds

Textmetadata
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.