A global-scale dataset of bat viral detection suggests that pregnancy reduces viral shedding.

التفاصيل البيبلوغرافية
العنوان: A global-scale dataset of bat viral detection suggests that pregnancy reduces viral shedding.
المؤلفون: Eskew EA; EcoHealth Alliance, New York, NY 10018, USA.; Institute for Interdisciplinary Data Sciences, University of Idaho, Moscow, ID 83844, USA., Olival KJ; EcoHealth Alliance, New York, NY 10018, USA., Mazet JAK; One Health Institute, School of Veterinary Medicine, University of California, Davis, CA 95616, USA., Daszak P; EcoHealth Alliance, New York, NY 10018, USA.
مؤلفون مشاركون: PREDICT Consortium
المصدر: BioRxiv : the preprint server for biology [bioRxiv] 2024 Feb 26. Date of Electronic Publication: 2024 Feb 26.
نوع المنشور: Preprint
اللغة: English
بيانات الدورية: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
مستخلص: Understanding viral infection dynamics in wildlife hosts can help forecast zoonotic pathogen spillover and human disease risk. Bats are particularly important reservoirs of zoonotic viruses, including some of major public health concern such as Nipah virus, Hendra virus, and SARS-related coronaviruses. Previous work has suggested that metapopulation dynamics, seasonal reproductive patterns, and other bat life history characteristics might explain temporal variation in spillover of bat-associated viruses into people. Here, we analyze viral dynamics in free-ranging bat hosts, leveraging a multi-year, global-scale viral detection dataset that spans eight viral families and 96 bat species from 14 countries. We fit hierarchical Bayesian models that explicitly control for important sources of variation, including geographic region, specimen type, and testing protocols, while estimating the influence of reproductive status on viral detection in female bats. Our models revealed that late pregnancy had a negative effect on viral shedding across multiple data subsets, while lactation had a weaker influence that was inconsistent across data subsets. These results are unusual for mammalian hosts, but given recent findings that bats may have high individual viral loads and population-level prevalence due to dampening of antiviral immunity, we propose that it would be evolutionarily advantageous for pregnancy to either not further reduce immunity or actually increase the immune response, reducing viral load, shedding, and risk of fetal infection. This novel hypothesis would be valuable to test given its potential to help monitor, predict, and manage viral spillover risk from bats.
معلومات مُعتمدة: R01 AI079231 United States AI NIAID NIH HHS; R01 AI110964 United States AI NIAID NIH HHS; R01 TW005869 United States TW FIC NIH HHS; U01 AI151797 United States AI NIAID NIH HHS
فهرسة مساهمة: Keywords: Chiroptera; coronavirus; reproductive biology; viral infection dynamics; virus surveillance; zoonotic spillover
تواريخ الأحداث: Date Created: 20240311 Latest Revision: 20240318
رمز التحديث: 20240318
مُعرف محوري في PubMed: PMC10925100
DOI: 10.1101/2024.02.25.581969
PMID: 38464184
قاعدة البيانات: MEDLINE
الوصف
DOI:10.1101/2024.02.25.581969