Evidence map›Paper›PMID 39992410›Full record

ArticleJournal of comparative physiology. B, Biochemical, systemic, and environmental physiology2025

Effect of housing density on cellular and humoral immunity, hematology in striped hamsters.

De-Li Xu, Xiao-Kai Hu

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Article in Journal of comparative physiology. B, Biochemical, systemic, and environmental physiology, 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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0citing papers in PubMed
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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

De-Li XuSchool of Life Sciences, Qufu Normal University, 57 Jingxuan West Road, Qufu, Shandong Province, 273165, People's Republic of China. xudl1975@163.com.ORCID http://orcid.org/0000-0002-1515-2985
Xiao-Kai HuSchool of Life Sciences, Qufu Normal University, 57 Jingxuan West Road, Qufu, Shandong Province, 273165, People's Republic of China.

Funding

National Natural Science Foundation of China 31770444National Natural Science Foundation of China 32171496
6 · The paper itself

Abstract

Population density is one of the most important factors influencing immune function. Social stress induced by higher density may account for the immunosuppression according to the endocrine hypothesis. To test this hypothesis, male striped hamsters (Cricetulus barabensis) were classified into the One/Cage (n = 9), Two/Cage (n = 6), and Three/Cage (n = 9) groups, and the treatment lasted for 45 days. The titers of immunoglobin (Ig)G15 and IgM 10 were lower in the Two/Cage group compared to the One/Cage group, indicating that higher housing density suppressed humoral immunity. However, the masses of thymus and spleen, phytohaemagglutinin (PHA) responses at 6 h, 12 h, 24 h, 48 h, and 72 h after PHA injection, the titers of IgG 5, IgG10, IgM5, and IgM15 were all not affected by housing density. Blood glucose level was higher in the One/Cage group than the other two groups, leptin titers did not differ among the three groups, whereas corticosterone concentration was higher in the Two/Cage and Three/Cage groups than in the One/Cage group. Moreover, negative correlation was observed between corticosterone concentration and the titers of IgG5, IgG10, IgG15, and IgM10. These results suggested that humoral immunity was reduced by higher stress levels induced by higher housing density, which supported the endocrine hypothesis. White blood cell (WBC) count was higher in the Two/Cage group than in the One/Cage group, and intermediate granulocytes (MID) were higher in the Two/Cage group than in the One/Cage and Three/Cage groups, indicating the fight and injury might have arisen in the higher housing density.

Indexed as

Housing, AnimalImmunity, CellularImmunity, HumoralAnimalsBlood GlucoseCorticosteroneCricetinaeImmunoglobulin GImmunoglobulin MMalePhytohemagglutininsPopulation DensitySpleenThymus GlandBlood GlucoseCorticosteroneImmunoglobulin GImmunoglobulin MPhytohemagglutininsDensityHematologyImmunityStressStriped hamsters (cricetulus barabensis)

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Registered trials

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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.