Evidence map›Paper›PMID 41487646›Full record

ArticleFrontiers in public health2025

Serological screening for specific antibodies against TORCH pathogens in reproductive-aged women in Zhangzhou, China.

Pengfei Huang, Weide Chen, Guowei Wang, Yuanjun Zeng, Yueli Guo

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. 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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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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Pengfei Huang *Collaborative Innovation Center for Translation Medical Testing and Application Technology, Department of Medical Technology, Zhangzhou Health Vocational College, Zhangzhou, Fujian, China.
Weide Chen *Department of Laboratory Medicine, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, China.
Guowei Wang *Department of Laboratory Medicine, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, Fujian, China.
Yuanjun ZengCollaborative Innovation Center for Translation Medical Testing and Application Technology, Department of Medical Technology, Zhangzhou Health Vocational College, Zhangzhou, Fujian, China.
Yueli GuoCollaborative Innovation Center for Translation Medical Testing and Application Technology, Department of Medical Technology, Zhangzhou Health Vocational College, Zhangzhou, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: TORCH is a group of pathogens including Herpes simplex virus (HSV), Cytomegalovirus (CMV), Rubella virus (RV) and Toxoplasma gondii (TOX). Serological screening for the specific antibodies against TORCH pathogens is crucial for preventing fetal malformation and miscarriage. In this study, we analyzed the characteristics of TORCH IgM and IgG seropositivity in reproductive-aged women in Zhangzhou, China. Methods: A total of 1,417 reproductive-aged women prior to conception attended prenatal diagnosis outpatient clinic in Zhangzhou and received the prenatal TORCH serological screening were enrolled in this study. The IgM and IgG antibodies against TORCH pathogens were detected using chemiluminescence immunoassay. Results: The positive rates of IgM for TOX, RV, CMV and HSV-1/2 were 0.64, 2.33, 1.34 and 11.22%. The IgG seropositivity for TOX, RV, CMV, HSV-1 and HSV-2 were 3.81, 72.83, 97.46, 82.64 and 7.27%. The positive rate of HSV-1/2-IgM and TOX-IgG in 2024 were lower than that in 2023. In addition, the positive rates of RV-IgG and HSV-1-IgG were significantly higher in the women aged 30-34 years old and ≥35 years old. The CMV-IgM and HSV-2-IgG positive rates were higher in women ≥35 years old. Regarding seasonal distribution, the positive rate of HSV-1/2-IgM was significantly higher in spring (March to May) than that in winter (December to February). The seropositivity of all TORCH-IgG showed no significant differences across four seasons. Conclusion: Our research highlights the age and seasonal distribution of TORCH seroprevalence in reproductive-aged women in Zhangzhou. These findings underscore that continuous serological surveillance is important for the prevention of congenital infections caused by TORCH pathogens.

Indexed as

Antibodies, ViralToxoplasmosisAdolescentAdultChinaCytomegalovirusCytomegalovirus InfectionsFemaleHerpes SimplexHumansImmunoglobulin GImmunoglobulin MPregnancyRubellaRubella virusSeroepidemiologic StudiesAntibodies, ViralImmunoglobulin GImmunoglobulin MChinaHerpes simplex virusreproductive-aged womenseropositivityTORCH pathogens

Identifiers

PMID41487646
PMCPMC12756716

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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.