Evidence map›Paper›PMID 41874835›Full record

ArticleTropical animal health and production2026

Microbial markers of resilience and its correlation with reproductive performance in lactating sows under heat stress condition.

Abdolreza Hosseindoust, Jun Young Mun, Sang Hun Ha, Habeeb Tajudeen, Priscilla Neves Silvestre, Jae Cheol Jang, Jin Soo Kim

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Article in Tropical animal health and production, 2026. 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

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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

7 authors.

Abdolreza Hosseindoust *Department of Animal Industry Convergence, Kangwon National University, Chuncheon, 24341, Republic of Korea.
Jun Young Mun *Department of Animal Industry Convergence, Kangwon National University, Chuncheon, 24341, Republic of Korea.
Sang Hun HaDepartment of Animal Industry Convergence, Kangwon National University, Chuncheon, 24341, Republic of Korea.
Habeeb TajudeenDepartment of Animal Industry Convergence, Kangwon National University, Chuncheon, 24341, Republic of Korea.
Priscilla Neves SilvestreDepartment of Animal Industry Convergence, Kangwon National University, Chuncheon, 24341, Republic of Korea.
Jae Cheol JangDivision of Animal Science and Institute of Agricultural and Life Science, Gyeongsang National University, Jinju, Republic of Korea.
Jin Soo KimDepartment of Animal Industry Convergence, Kangwon National University, Chuncheon, 24341, Republic of Korea. kjs896@kangwon.ac.kr.ORCID http://orcid.org/0000-0002-9518-7917

Funding

Rural Development Administration RS-2024-00399718
6 · The paper itself

Abstract

This study aimed to investigate the effects of heat stress on the gut microbiota and reproductive performance of lactating sows. Thirty-two multiparous sows were selected and subjected to heat stress during lactation. Body weight (BW) and backfat thickness were recorded on day 112 of gestation and days 1 and 21 of lactation. Litter performance metrics included the number of piglets born alive, piglet survivability, average BW at birth and weaning, and average daily gain (ADG). Firmicutes abundance was positively correlated with average BW at weaning, average daily feed intake (ADFI), litter weight at weaning, piglet average BW at birth, piglet average BW at weaning, and piglet ADG. In contrast, firmicutes abundance was negatively correlated with BW loss, backfat thickness loss, and wean-to-estrus interval during lactation. Proteobacteria abundance exhibited positive correlations with BW loss, backfat thickness loss, and wean-to-estrus interval. Proteobacteria abundance was negatively correlated with ADFI, litter weight at weaning, piglet average BW at weaning, and piglet ADG. Lactobacillus abundance was positively correlated with average BW at weaning, ADFI, piglet survivability, litter weight at weaning, piglet average BW at birth, piglet average BW at weaning, and piglets ADG. Enterococcus abundance was positively correlated with litter weight at weaning and piglet ADG. Peptostreptococcus and Enterococcus abundance were negatively correlated with backfat thickness loss. Escherichia-Shigella abundance was negatively correlated with BW at weaning. Clostridium sensu stricto 1, Prevotella, and Streptococcus abundance showed negative correlations with BW at weaning. This study highlights the correlation between gut microbiota and reproductive performance during heat stress.

Indexed as

Gastrointestinal MicrobiomeHeat-Shock ResponseReproductionSus scrofaAnimalsBody WeightFemaleHot TemperatureLactationSwineWeaningDiversityFeed intakeGenusMicrobiotaPhylum

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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.