Evidence map›Paper›PMID 25485543›Full record

ArticlePloS one2014

Sex differences in monocyte activation in systemic lupus erythematosus (SLE).

Wei Jiang, Lumin Zhang, Ren Lang, Zihai Li, Gary Gilkeson

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

20 citing papers in PubMed, 30 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

5 authors at 2 institutions in 2 countries.

Wei JiangDepartment of Microbiology and Immunology, Division of Infectious Diseases, Department of Medicine, Medical University of South Carolina, Charleston, SC, 29425, United States of America.
Lumin ZhangDepartment of Microbiology and Immunology, Division of Infectious Diseases, Department of Medicine, Medical University of South Carolina, Charleston, SC, 29425, United States of America.
Ren LangDepartment of Hepatobiliary Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China.
Zihai LiDepartment of Microbiology and Immunology, Division of Infectious Diseases, Department of Medicine, Medical University of South Carolina, Charleston, SC, 29425, United States of America.
Gary GilkesonDivision of Rheumatology, Department of Medicine, Medical University of South Carolina, Charleston, SC, 29425, United States of America.
Medical University of South Carolina · USBeijing Chao-Yang Hospital · CN

Funding

SOUTH CAROLINA CLINICAL & TRANSLATIONAL RESEARCH INSTITUTE (SCTR)UL1RR029882 · NCRR · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T. · 2009 to 2011
$10.1M
Patient Resource CoreP60AR062755 · NIAMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI GILKESON, GARY S · 2012 to 2016
$5.8M
Pilot and Feasibility Project ProgramP30GM103331 · NIGMS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI WESTWATER, CAROLINE · 2012 to 2016
$5.2M
Roles and Mechanisms of gp96 in Chaperoning Innate ImmunityR01AI070603 · NIAID · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI LI, ZIHAI · 2007 to 2016
$3.8M
Molecular chaperones and immune toleranceR01AI077283 · NIAID · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI LI, ZIHAI · 2009 to 2021
$3.7M
Thrombocytes in Cancer ImmunityR01CA188419 · NCI · OHIO STATE UNIVERSITY · PI LI, ZIHAI · 2015 to 2019
$1.9M
Synergistic effect of HIV virions and bacterial LPS on memory B cell apoptosisR01AI091526 · NIAID · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI JIANG, WEI · 2011 to 2015
$1.4M
Sex Differences in Gut Permeability; Impact on AutoimmunityI01CX001211 · VA · RALPH H JOHNSON VA MEDICAL CENTER · PI GILKESON, GARY S · 2015 to 2022
–
BLRD VA I01 BX000470CSRD VA I01 CX001211NCI NIH HHS R01 CA188419NCRR NIH HHS UL1 RR029882NIAID NIH HHS AI077283NIAID NIH HHS AI91526NIAID NIH HHS R01 AI070603NIAID NIH HHS R01 AI077283NIAID NIH HHS R01 AI091526NIAMS NIH HHS P60 AR062755NIGMS NIH HHS P30 GM103331NIGMS NIH HHS P30GM103331
6 · The paper itself

Abstract

introductionTLR7/8 and TLR9 signaling pathways have been extensively studied in systemic lupus erythematosus (SLE) as possible mediators of disease. Monocytes are a major source of pro-inflammatory cytokines and are understudied in SLE. In the current project, we investigated sex differences in monocyte activation and its implications in SLE disease pathogenesis.

methodsHuman blood samples from 27 healthy male controls, 32 healthy female controls, and 25 female patients with SLE matched for age and race were studied. Monocyte activation was tested by flow cytometry and ELISA, including subset proportions, CD14, CD80 and CD86 expression, the percentage of IL-6-producing monocytes, plasma levels of sCD14 and IL-6, and urine levels of creatinine.

resultsMonocytes were significantly more activated in women compared to men and in patients with SLE compared to controls in vivo. We observed increased proportions of non-classic monocytes, decreased proportions of classic monocytes, elevated levels of plasma sCD14 as well as reduced surface expression of CD14 on monocytes comparing women to men and lupus patients to controls. Plasma levels of IL-6 were positively related to sCD14 and serum creatinine.

conclusionMonocyte activation and TLR4 responsiveness are altered in women compared to men and in patients with SLE compared to controls. These sex differences may allow persistent systemic inflammation and resultant enhanced SLE susceptibility.

Indexed as

Sex CharacteristicsAdultCase-Control StudiesCells, CulturedFemaleFlow CytometryHumansInterleukin-6Lipopolysaccharide ReceptorsLupus Erythematosus, SystemicMaleMiddle AgedMonocytesYoung AdultInterleukin-6Lipopolysaccharide Receptors

Identifiers

PMID25485543
PMCPMC4259347
OpenAlexW2030772457

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.