Evidence map›Paper›PMID 29142506›Full record

ArticleJournal of inflammation (London, England)2017

Detection of circulating natural antibodies to inflammatory cytokines in type-2 diabetes and clinical significance.

Weiyi Cai, Cailing Qiu, Hongyu Zhang, Xiangyun Chen, Xuan Zhang, Qingyong Meng, Jun Wei

Open access · goldAbstract read
In one paragraph

Article in Journal of inflammation (London, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

6 citing papers in PubMed, 15 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

7 authors at 4 institutions in 2 countries.

Weiyi Cai *Laboratory for Nursing Science & Institute of Laboratory Medicine, Guangdong Medical University, No.1 Xincheng Road, Dongguan, 523808 China.
Cailing Qiu *Dalang Hospital of Dongguan, Dongguan, 523000 China.
Hongyu ZhangThe Second Hospital, Jilin University, Changchun, 130041 China.
Xiangyun ChenDalang Hospital of Dongguan, Dongguan, 523000 China.
Xuan ZhangThe Second Hospital, Jilin University, Changchun, 130041 China.
Qingyong MengLaboratory for Nursing Science & Institute of Laboratory Medicine, Guangdong Medical University, No.1 Xincheng Road, Dongguan, 523808 China.
Jun WeiDivision of Health Research, University of the Highlands & Islands, Centre for Health Science, Perth Road, Inverness, IV2 3JH UK.
Dongguan People’s Hospital · CNGuangdong Medical College · CNSecond Affiliated Hospital of Jilin University · CNUniversity of the Highlands and Islands · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInflammatory cytokines have been demonstrated to be involved in developing insulin resistance and type-2 diabetes (T2D). Natural antibodies in the circulation have protective effects on common diseases in humans. The present study was thus designed to test the hypothesis that natural antibodies against inflammatory cytokines could be associated with T2D.

methodsAn enzyme-linked immunosorbent assay (ELISA) was developed in-house to detect plasma IgG against peptide antigens derived from interleukin 1α (IL1α), IL1β, IL6, IL8 and tumor necrosis factor-α (TNF-α) in 200 patients with T2D and 220 control subjects.

resultsBinary regression showed that compared with control subjects, T2D patients had a decreased level of plasma anti-IL6 IgG (adjusted

conclusionsDeficiency of natural IgG against inflammatory cytokines is likely to be a risk factor for T2D development and detection of such antibodies may be useful for personalized treatment of the disease.

Indexed as

ELISAIgG antibodyInflammatory cytokinesNatural antibodiesType-2 diabetes

Identifiers

PMID29142506
PMCPMC5674864
OpenAlexW2767216802

What OpenQuestion holds

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Registered trials

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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.