Evidence map›Paper›PMID 29691600›Full record

ArticleDiabetologia2018

A proinflammatory CD4

Angela Sheu, Yixian Chan, Angela Ferguson, Mohammad B Bakhtyari, Wendy Hawke, Chris White, Yuk Fun Chan, Patrick J Bertolino, Heng G Woon, Umaimainthan Palendira and 2 more

Open access · bronzeAbstract read
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In one paragraph

Article in Diabetologia, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
1.6field-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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 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

12 authors at 5 institutions in 1 country.

Angela SheuDepartment of Diabetes and Endocrinology, Prince of Wales Hospital, Barker Street, Randwick, NSW, 2031, Australia.
Yixian ChanDepartment of Diabetes and Endocrinology, Prince of Wales Hospital, Barker Street, Randwick, NSW, 2031, Australia.
Angela FergusonHuman Viral and Cancer Immunology, Centenary Institute, Camperdown, NSW, Australia.
Mohammad B BakhtyariDepartment of Diabetes and Endocrinology, Prince of Wales Hospital, Barker Street, Randwick, NSW, 2031, Australia.
Wendy HawkeThe Royal Hospital for Women, Randwick, NSW, Australia.
Chris WhiteDepartment of Diabetes and Endocrinology, Prince of Wales Hospital, Barker Street, Randwick, NSW, 2031, Australia.
Yuk Fun ChanDepartment of Diabetes and Endocrinology, Prince of Wales Hospital, Barker Street, Randwick, NSW, 2031, Australia.
Patrick J BertolinoLiver Immunology, Centenary Institute, Camperdown, NSW, Australia.
Heng G WoonHuman Viral and Cancer Immunology, Centenary Institute, Camperdown, NSW, Australia.
Umaimainthan PalendiraHuman Viral and Cancer Immunology, Centenary Institute, Camperdown, NSW, Australia.
Frederic SierroVascular Immunology, School of Medical Sciences, University of Sydney, Sydney, NSW, Australia.
Sue Mei LauDepartment of Diabetes and Endocrinology, Prince of Wales Hospital, Barker Street, Randwick, NSW, 2031, Australia. suemei.lau@health.nsw.gov.au.
Prince of Wales Hospital · AURoyal Hospital for Women · AUCentenary Institute · AUUniversity of Sydney · AUAustralian Nuclear Science and Technology Organisation · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims/hypothesisNumerous adaptations of the maternal immune system are necessary during pregnancy to maintain immunological tolerance to the semi-allogeneic fetus. Several complications of pregnancy have been associated with dysregulation of these adaptive mechanisms. While gestational diabetes mellitus (GDM) has been associated with upregulation of circulating inflammatory factors linked to innate immunity, polarisation of the adaptive immune system has not been extensively characterised in this condition. We aimed to characterise pro- and anti-inflammatory CD4

methodsThis is a prospective longitudinal case-control study of 55 women with GDM (cases) and 65 women without GDM (controls) at a tertiary maternity hospital. Quantification of proinflammatory (Th17, Th17.1, Th1) and anti-inflammatory (regulatory T cell [Treg]) CD4

resultsWomen with GDM had a significantly greater percentage of Th17 (median 2.49% [interquartile range 1.62-4.60] vs 1.85% [1.13-2.98], p = 0.012) and Th17.1 (3.06% [1.30-4.33] vs 1.55% [0.65-3.13], p = 0.006) cells compared with the control group of women without GDM. Women with GDM also had higher proinflammatory cell ratios (Th17:Treg, Th17.1:Treg and Th1:Treg) in pregnancy compared with the control group of women without GDM. In the control group, there was a statistically significant independent association between 1 h glucose levels in the GTT and Th17 cell percentages, and also between 2 h glucose levels and percentage of Th17 cells. The percentage of Th17 cells and the Th17:Treg ratio declined significantly after delivery in women with GDM, whereas this was not the case with the control group of women. Nevertheless, a milder inflammatory phenotype persisted after delivery (higher Th17:Treg ratio) in women with GDM vs women without. CONCLUSIONS/

interpretationDysregulation of adaptive immunity supports a novel paradigm of GDM that extends beyond hyperglycaemia and altered innate immunity.

Indexed as

Adaptive ImmunityAdultBiomarkersBlood GlucoseCase-Control StudiesDiabetes, GestationalFemaleHumansImmunity, InnateInflammationLongitudinal StudiesPhenotypePregnancyProspective StudiesSeverity of Illness IndexT-Lymphocytes, Helper-InducerBiomarkersBlood GlucoseAdaptive immunityDiabetesGestational diabetes mellitusInflammationPregnancyT cellsTh17

Identifiers

PMID29691600
OpenAlexW2801991666

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.