Evidence map›Paper›PMID 35966636›Full record

ReviewImmunometabolism (Cobham, Surrey)2022

Sex bias in systemic lupus erythematosus: a molecular insight.

Moumita Bose, Caroline Jefferies

Open access · diamondAbstract readReview
In one paragraph

Review in Immunometabolism (Cobham, Surrey), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
3.4field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Community sunbed use and photosensitivity reactions: a systematic review.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2026
    Pooled it
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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

2 authors at 1 institution in 1 country.

Moumita BoseDivision of Rheumatology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Caroline JefferiesDivision of Rheumatology, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Cedars-Sinai Medical Center · US

Funding

Sex and gender differences in lupus - intersection between immunometabolism, epigenetic remodeling and cardiac involvementR01AI164504 · NIAID · CEDARS-SINAI MEDICAL CENTER · PI JEFFERIES, CAROLINE · 2021 to 2024
$2.3M
NIAID NIH HHS R01 AI164504
6 · The paper itself

Abstract

Acknowledging sex differences in immune response is particularly important when we consider the differences between men and women in the incidence of disease. For example, over 80% of autoimmune disease occurs in women, whereas men have a higher incidence of solid tumors compared to women. In general women have stronger innate and adaptive immune responses than men, explaining their ability to clear viral and bacterial infections faster, but also contributing to their increased susceptibility to autoimmune disease. The autoimmune disease systemic lupus erythematosus (SLE) is the archetypical sexually dimorphic disease, with 90% of patients being women. Various mechanisms have been suggested to account for the female prevalence of SLE, including sex hormones, X-linked genes, and epigenetic regulation of gene expression. Here, we will discuss how these mechanisms contribute to pathobiology of SLE and how type I interferons work with them to augment sex specific disease pathogenesis in SLE.

Indexed as

epigeneticsestrogenIFNαinflammationmitochondriasex disparitiesSLEX chromosome dosage

Identifiers

PMID35966636
PMCPMC9358995
OpenAlexW4288738650

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.