Evidence map›Paper›PMID 33103019›Full record

ArticleCurrent opinion in physiology2021

Mucosal Immunity and HIV Acquisition in Women.

Laura Moreno de Lara, Ragav S Parthasarathy, Marta Rodriguez-Garcia

Open access · greenAbstract read
In one paragraph

Article in Current opinion in physiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 20 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

3 authors at 1 institution in 2 countries.

Laura Moreno de LaraDepartment of Immunology, Tufts University School of Medicine, Boston, MA.
Ragav S ParthasarathyDepartment of Immunology, Tufts University School of Medicine, Boston, MA.
Marta Rodriguez-GarciaDepartment of Immunology, Tufts University School of Medicine, Boston, MA.
Tufts University · US

Funding

Aging Compromises Neutrophil-Mediated Innate Protection Against HIV in the Human Female Genital TractR01AG060801 · NIA · WAYNE STATE UNIVERSITY · PI RODRIGUEZ GARCIA, MARTA · 2018 to 2022
$2.6M
NIA NIH HHS R01 AG060801
6 · The paper itself

Abstract

Women acquire HIV through sexual transmission. Women worldwide represent half of the people living with HIV, but young women in endemic areas are disproportionally affected. Low transmission rates per sexual act in women suggest that local immune protective mechanisms in the genital tract have the potential to prevent infection. However, conditions that induce genital inflammation are known to increase the risk of HIV acquisition. The female genital tract (FGT) is divided into different anatomical compartments with distinct reproductive functions. The immune cells present in each of these compartments are specialized in balancing reproduction and protection against infections, and are the same cells that can encounter and respond to HIV. Understanding the physiological and pathological factors that influence mucosal immune cell presence, susceptibility to HIV-infection and anti-HIV immune responses in the FGT is necessary to develop preventive strategies. Here we review recent advances in our understanding of HIV infection in the human female genital tract, with an emphasis on the characterization of the mucosal cells susceptible to HIV-infection, innate immune responses and mucosal factors that increase genital inflammation and influence susceptibility to HIV acquisition in women.

Indexed as

dendritic cellfemale reproductive tractgenital inflammationHIVneutrophilTh17 cell

Identifiers

PMID33103019
PMCPMC7584112
OpenAlexW3053585513

What OpenQuestion holds

Textmetadata
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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.