Evidence map›Paper›PMID 39295873›Full record

ArticleFrontiers in immunology2024

Reduced B cell frequencies in cord blood of HIV-exposed uninfected infants: an immunological and transcriptomic analysis.

Ye Jin, Jun Zhao, Tangkai Qi, Di Tian, Yixin Liao, Qing Yang, Minming Li, Qingqing Zhu, Jun Chen, Yinzhong Shen and 2 more

Abstract read
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In one paragraph

Article in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Ye Jin *Department of Infection Immunology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Jun Zhao *Department of Pediatrics, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Tangkai Qi *Department of Infection Immunology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Di TianScientific Research Center, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Yixin LiaoScientific Research Center, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Qing YangChild Healthcare Department, Songjiang Maternity and Child Health Hospital, Shanghai, China.
Minming LiDepartment of Infection Immunology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Qingqing ZhuChild Healthcare Department, Songjiang Maternity and Child Health Hospital, Shanghai, China.
Jun ChenDepartment of Infection Immunology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Yinzhong ShenDepartment of Infection Immunology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Yabin LiuScientific Research Center, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Hongzhou LuDepartment of Infection Immunology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In the course of immune development, HIV-exposed uninfected (HEU) infants exhibit abnormal immune function and increased infectious morbidity compared to HIV-unexposed uninfected (HUU) infants. Yet the specific functional phenotypes and regulatory mechanisms associated with Methods: We utilized flow cytometry and RNA-seq technologies to conduct the immunological and transcriptomic profiling in cord blood from 9 HEU mother-infant pairs and 24 HUU pairs. On top of that, we compared the cord blood dataset with the maternal venous blood dataset to characterize unique effects induced by Results: Flow cytometry immunophenotyping revealed that the level of B lymphocyte subsets was significantly decreased in HEU cord blood as compared to HUU ( Discussion: Our study provides the first comprehensive immunological and transcriptomic characterization of HEU cord blood. Additionally, we establish a 4-gene-based classifier that holds potential for predict immunological abnormalities in HEU infants.

Indexed as

Fetal BloodGene Expression ProfilingHIV InfectionsTranscriptomeAdultB-LymphocytesB-Lymphocyte SubsetsFemaleHumansImmunophenotypingInfantInfant, NewbornInfectious Disease Transmission, VerticalMalePregnancyPregnancy Complications, InfectiousB lymphocytecell countingcord bloodHIV-exposed uninfectedimmune systemtranscriptome

Identifiers

PMID39295873
PMCPMC11408218

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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.