Evidence map›Paper›PMID 29909421›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2018

Application of Isobaric Tags for Relative and Absolute Quantification (iTRAQ) Coupled with Two-Dimensional Liquid Chromatography/Tandem Mass Spectrometry in Quantitative Proteomic Analysis for Discovery of Serum Biomarkers for Idiopathic Pulmonary Fibrosis.

Ying Zhang, Qian Xin, Zhen Wu, Chaochao Wang, Yongbin Wang, Qian Wu, Rui Niu

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 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, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Mechanisms and markers of lung ageing in health and disease.European respiratory review : an official journal of the European Respiratory Society · 2025
    Review
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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

7 authors at 1 institution in 1 country.

Ying ZhangDepartment of Respiratory Medicine, The Second Hospital of Shandong University, Jinan, Shandong, China (mainland).
Qian XinCentral Laboratory, The Second Hospital of Shandong University, Jinan, Shandong, China (mainland).
Zhen WuDepartment of Respiratory Medicine, The Second Hospital of Shandong University, Jinan, Shandong, China (mainland).
Chaochao WangDepartment of Respiratory Medicine, The Second Hospital of Shandong University, Jinan, Shandong, China (mainland).
Yongbin WangDepartment of Respiratory Medicine, The Second Hospital of Shandong University, Jinan, Shandong, China (mainland).
Qian WuDepartment of Respiratory Medicine, The Second Hospital of Shandong University, Jinan, Shandong, China (mainland).
Rui NiuDepartment of Respiratory Medicine, The Second Hospital of Shandong University, Jinan, Shandong, China (mainland).
Second Hospital of Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND The present study was performed to explore the presence of informative protein biomarkers of human serum proteome in idiopathic pulmonary fibrosis (IPF). MATERIAL AND METHODS Serum samples were profiled using iTRAQ coupled with two-dimensional liquid chromatography/tandem mass spectrometry (2D-LC-MS/MS) technique, and ELISA was used to validate candidate biomarkers. RESULTS A total of 394 proteins were identified and 97 proteins were associated with IPF. Four biomarker candidates generated from iTRAQ experiments - CRP, fibrinogen-α chain, haptoglobin, and kininogen-1 - were successfully verified using ELISA. CONCLUSIONS The present study demonstrates that levels of CRP and fibrinogen-a are higher and levels of haptoglobin and kininogen-1 are lower in patients with IPF compared to levels in healthy controls. We found they are useful candidate biomarkers for IPF.

Indexed as

AdultAgedAged, 80 and overBiomarkersChromatography, LiquidC-Reactive ProteinFemaleFibrinogenHaptoglobinsHumansIdiopathic Pulmonary FibrosisMaleMiddle AgedPlasma KallikreinProteomeProteomicsBiomarkersC-Reactive ProteinFibrinogenfibrinogen AalphaHaptoglobinsHP protein, humanPlasma KallikreinProteome

Identifiers

PMID29909421
PMCPMC6036962
OpenAlexW2808557231

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.