Evidence map›Paper›PMID 28278182›Full record

ArticlePloS one2017

Serum amyloid A, protein Z, and C4b-binding protein β chain as new potential biomarkers for pulmonary tuberculosis.

Ting-Ting Jiang, Li-Ying Shi, Li-Liang Wei, Xiang Li, Su Yang, Chong Wang, Chang-Ming Liu, Zhong-Liang Chen, Hui-Hui Tu, Zhong-Jie Li and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. A systematic review of potential screening biomarkers for active TB disease.Journal of clinical tuberculosis and other mycobacterial diseases · 2021
    Review
  12. Cells · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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 4 institutions in 1 country.

Ting-Ting JiangSouth China University of Technology School of Medicine, Guangzhou, P.R. China.
Li-Ying ShiDepartment of Clinical Laboratory, Zhejiang Hospital, Hangzhou, P.R. China.
Li-Liang WeiDepartment of Pneumology, Shaoxing Municipal Hospital, Shaoxing, P.R. China.
Xiang LiKey Laboratory of Gastroenteropathy, Zhejiang Province People's Hospital, Hangzhou, China.
Su YangInstitute of Cell Biology, Zhejiang University, Hangzhou, P.R. China.
Chong WangInstitute of Cell Biology, Zhejiang University, Hangzhou, P.R. China.
Chang-Ming LiuInstitute of Cell Biology, Zhejiang University, Hangzhou, P.R. China.
Zhong-Liang ChenInstitute of Cell Biology, Zhejiang University, Hangzhou, P.R. China.
Hui-Hui TuInstitute of Cell Biology, Zhejiang University, Hangzhou, P.R. China.
Zhong-Jie LiInstitute of Cell Biology, Zhejiang University, Hangzhou, P.R. China.
Ji-Cheng LiSouth China University of Technology School of Medicine, Guangzhou, P.R. China.
Zhejiang University · CNSouth China University of Technology · CNZhejiang Hospital · CNShaoxing People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to discover novel biomarkers for pulmonary tuberculosis (TB). Differentially expressed proteins in the serum of patients with TB were screened and identified by iTRAQ-two dimensional liquid chromatography tandem mass spectrometry analysis. A total of 79 abnormal proteins were discovered in patients with TB compared with healthy controls. Of these, significant differences were observed in 47 abnormally expressed proteins between patients with TB or pneumonia and chronic obstructive pulmonary disease (COPD). Patients with TB (n = 136) exhibited significantly higher levels of serum amyloid A (SAA), vitamin K-dependent protein Z (PROZ), and C4b-binding protein β chain (C4BPB) than those in healthy controls (n = 66) (P<0.0001 for each) albeit significantly lower levels compared with those in patients with pneumonia (n = 72) (P<0.0001 for each) or COPD (n = 72) (P<0.0001, P<0.0001, P = 0.0016, respectively). After 6 months of treatment, the levels of SAA and PROZ were significantly increased (P = 0.022, P<0.0001, respectively), whereas the level of C4BPB was significantly decreased (P = 0.0038) in treated TB cases (n = 72). Clinical analysis showed that there were significant differences in blood clotting and lipid indices in patients with TB compared with healthy controls, patients with pneumonia or COPD, and treated TB cases (P<0.05). Correlation analysis revealed significant correlations between PROZ and INR (rs = 0.414, P = 0.044), and between C4BPB and FIB (rs = 0.617, P = 0.0002) in patients with TB. Receiver operating characteristic curve analysis revealed that the area under the curve value of the diagnostic model combining SAA, PROZ, and C4BPB to discriminate the TB group from the healthy control, pneumonia, COPD, and cured TB groups was 0.972, 0.928, 0.957, and 0.969, respectively. Together, these results suggested that SAA, PROZ, and C4BPB may serve as new potential biomarkers for TB. Our study may thus provide experimental data for the differential diagnosis of TB.

Indexed as

AdultAgedBiomarkersBlood ProteinsComplement C4b-Binding ProteinFemaleHumansMaleMiddle AgedROC CurveSerum Amyloid A ProteinTuberculosis, PulmonaryYoung AdultBiomarkersBlood ProteinsComplement C4b-Binding Proteinplasma protein ZSerum Amyloid A Protein

Identifiers

PMID28278182
PMCPMC5344400
OpenAlexW2593503123

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.