Evidence map›Paper›PMID 26617706›Full record

ArticleInternational journal of clinical and experimental pathology2015

Proteomic analysis of synovial fluid as an analytical tool to detect candidate biomarkers for knee osteoarthritis.

Weixiong Liao, Zhongli Li, Hao Zhang, Ji Li, Ketao Wang, Yimeng Yang

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% 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

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

  1. Pooled it
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  9. Identification of Potential Therapeutic Target Genes in Osteoarthritis.Evidence-based complementary and alternative medicine : eCAM · 2022
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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

6 authors at 1 institution in 2 countries.

Weixiong LiaoDepartment of Orthopedics, General Hospital of PLA Beijing, People's Republic of China.
Zhongli LiDepartment of Orthopedics, General Hospital of PLA Beijing, People's Republic of China.
Hao ZhangDepartment of Orthopedics, General Hospital of PLA Beijing, People's Republic of China.
Ji LiDepartment of Orthopedics, General Hospital of PLA Beijing, People's Republic of China.
Ketao WangDepartment of Orthopedics, General Hospital of PLA Beijing, People's Republic of China.
Yimeng YangDepartment of Orthopedics, General Hospital of PLA Beijing, People's Republic of China.
Chinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We conducted research to detect the proteomic profiles in synovial fluid (SF) from knee osteoarthritis (OA) patients to better understand the pathogenesis and aetiology of OA. Our long-term goal is to identify reliable candidate biomarkers for OA in SF. The SF proteins obtained from 10 knee OA patients and 10 non-OA patients (9 of whom were patients with a meniscus injury in the knee; 1 had a discoid meniscus in the knee, and all exhibited intact articular cartilage) were separated by two-dimensional electrophoresis (2-DE). The repeatability of the obtained protein spots regarding their intensity was tested via triplicate 2-DE of selected samples. The observed protein expression patterns were subjected to statistical analysis, and differentially expressed protein spots were identified via matrix-assisted laser desorption/ionisation-time of flight/time of flight mass spectrometry (MALDI-TOF/TOF MS). Our analyses showed low intrasample variability and clear intersample variation. Among the protein spots observed on the gels, there were 29 significant differences, of which 22 corresponded to upregulation and 7 to downregulation in the OA group. One of the upregulated protein spots was confirmed to be haptoglobin by mass spectrometry, and the levels of haptoglobin in SF are positively correlated with the severity of OA (r = 0.89, P < 0.001). This study showed that 2-DE could be used under standard conditions to screen SF samples and identify a small subset of proteins in SF that are potential markers associated with OA. Spots of interest identified by mass spectrometry, such as haptoglobin, may be associated with OA severity.

Indexed as

ProteomicsAdolescentAdultAgedBiomarkersCartilage, ArticularFemaleHumansKnee JointMaleMiddle AgedOsteoarthritis, KneeSeverity of Illness IndexSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationSynovial FluidYoung AdultBiomarkersbiomarkerhaptoglobinOsteoarthritisproteomicssynovial fluid

Identifiers

PMID26617706
PMCPMC4637791
OpenAlexW2425678594

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.