Evidence map›Paper›PMID 34543351›Full record

ArticlePloS one2021

A potential diagnostic serum immunological marker panel to differentiate between primary and secondary knee osteoarthritis.

Sakuni Rankothgedera, Inoshi Atukorala, Chandrika Fernando, Duminda Munidasa, Lalith Wijayaratne, Preethi Udagama

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Observational
  3. Article
  4. Article
  5. Application of Biomedical Microspheres in Wound Healing.International journal of molecular sciences · 2023
    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

6 authors at 3 institutions in 2 countries.

Sakuni RankothgederaFaculty of Science, Department of Zoology & Environment Sciences, University of Colombo, Colombo, Sri Lanka.
Inoshi AtukoralaFaculty of Medicine, Department of Clinical Medicine, University of Colombo, Colombo, Sri Lanka.
Chandrika FernandoFaculty of Science and Engineering, School of Electrical Engineering, Computer and Mathematical Sciences (EECMS), Curtin University, Perth, Western Australia.
Duminda MunidasaRheumatology & Rehabilitation Hospital, Ragama, Sri Lanka.
Lalith WijayaratneNawaloka Hospital PLC, Colombo, Sri Lanka.
Preethi UdagamaFaculty of Science, Department of Zoology & Environment Sciences, University of Colombo, Colombo, Sri Lanka.ORCID 0000-0001-5431-0715
University of Colombo · LKCurtin University · AUNawaloka Hospital · LK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammation contributes to knee osteoarthritis (KOA) where many immunological mediators participate in its initiation and progression. Most clinicians manage primary (pKOA) and secondary osteoarthritis (sKOA) alike. Whether immunological profiles of pKOA and sKOA differ remains obscure. Hence, we aimed to differentially identify potential serum immunologic diagnostic markers of pKOA and of sKOA. This case control study used 46 KOA patients (pKOA, n = 30; sKOA, n = 16), and 60 age, gender matched controls (normal healthy, n = 30; systemic lupus erythematosus [SLE] disease controls, n = 30) where serum was assayed for cytokines (TNF-α, IL-1β, IL-6, IL-10) and nitric oxide derivatives (NOx). Sandwich ELISA assessed cytokine levels, while the 'Griess assay' quantified NOx levels. The diagnostic accuracy of optimal marker combinations was evaluated by the CombiROC web tool. Compared with pKOA, sKOA serum displayed significantly elevated levels of pro inflammatory cytokines (TNF-α, IL-1β, IL-6) with a concurrent decrease in the anti-inflammatory cytokine, IL-10 (P<0.05). This was reiterated by significantly higher Th1:Th2 (TNF-α: IL-10) serum cytokine ratio observed in sKOA compared to that of pKOA. The CombiROC curves identified TNF-α, IL-1β, IL-6 and NOx as the best performing panel of potential diagnostic markers to discriminate pKOA from control groups (~97% accuracy, 90% Sensitivity [SE] and 98% specificity [SP]), while TNF-α, IL-1β and IL-6 discriminated sKOA from control groups (~100% accuracy, 100% SE, and 98% SP). The study identified discrete serum immune biomarker panels to differentiate between pKOA (TNF-α, IL-1β, IL-6 and NOx) and sKOA (TNF-α, IL-1β and IL-6). These findings may assist in developing distinct therapeutic agents for the two types of KOA.

Indexed as

Area Under CurveBiomarkersCase-Control StudiesCytokinesFemaleHumansInterleukin-10Interleukin-1betaMaleMiddle AgedNitric OxideOsteoarthritis, KneeROC CurveSensitivity and SpecificityTumor Necrosis Factor-alphaBiomarkersCytokinesInterleukin-10Interleukin-1betaNitric OxideTumor Necrosis Factor-alpha

Identifiers

PMID34543351
PMCPMC8452079
OpenAlexW3200100654

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.