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肾结石猫直肠拭子与粪便样本中肠道微生物群的比较

Gut Microbiota Comparison in Rectal Swabs Versus Stool Samples in Cats with Kidney Stones.

作者信息

Joubran Patrick, Roux Françoise A, Serino Matteo, Deschamps Jack-Yves

机构信息

NP3, Nutrition, PathoPhysiology and Pharmacology Unit, Oniris VetAgro Bio, Nantes-Atlantic College of Veterinary Medicine, Food Science and Engineering, La Chantrerie, CEDEX 03, 44307 Nantes, France.

Emergency and Critical Care Unit, Oniris VetAgro Bio, Nantes-Atlantic College of Veterinary Medicine, Food Science and Engineering, La Chantrerie, CEDEX 03, 44307 Nantes, France.

出版信息

Microorganisms. 2024 Nov 24;12(12):2411. doi: 10.3390/microorganisms12122411.

DOI:10.3390/microorganisms12122411
PMID:39770613
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11677927/
Abstract

To investigate the role of the intestinal bacterial microbiota in the pathogenesis of calcium oxalate nephrolithiasis in cats, a condition characterized by the formation of kidney stones, it is desirable to identify a sample collection method that accurately reflects the microbiota's composition. The objective of this study was to evaluate the impact of fecal sample collection methods on the intestinal microbiota composition in two cat populations: healthy cats and kidney stone-diseased cats. The study included eighteen cats from the same colony, comprising nine healthy cats and nine cats with spontaneously occurring presumed calcium oxalate kidney stones. Three fecal collection methods were compared: rectal swabs, the collection of fresh stool, and the collection of stool exposed to ambient air for 24 h. The bacterial microbiota was analyzed through the high-resolution sequencing of the V3-V4 region of the 16S rRNA gene. For all cats, within the same individual, a one-way PERMANOVA analysis showed a significant difference between the rectal swabs and fresh stool ( = 0.0003), as well as between the rectal swabs and stool exposed to ambient air for 24 h ( = 0.0003), but no significant difference was identified between the fresh stool and non-fresh stool ( = 0.0651). When comparing the two populations of cats, this study provides seemingly conflicting results. (1) A principal component analysis (PCA) comparison revealed a significant difference in the bacterial composition between the healthy cats and the cats with kidney stones only when the sample was a fresh fecal sample ( = 0.0037). This finding suggests that the intestinal bacteria involved in the pathogenesis of kidney stones in cats are luminal and strictly anaerobic bacteria. Consequently, exposure to ambient air results in a loss of information, preventing the identification of dysbiosis. For clinical studies, non-fresh stool samples provided by owners does not appear suitable for studying the gut microbiota of cats with kidney stones; fresh stool should be favored. (2) Interestingly, the rectal swabs alone highlighted significant differences in the proportion of major phyla between the two populations. These findings highlight the critical importance of carefully selecting fecal collection methods when studying feline gut microbiota. Combining rectal swabs and fresh stool sampling provides complementary insights, offering the most accurate understanding of the gut microbiota composition in the context of feline kidney stone pathogenesis.

摘要

为了研究肠道细菌微生物群在猫草酸钙肾结石发病机制中的作用(一种以肾结石形成为特征的病症),需要确定一种能够准确反映微生物群组成的样本采集方法。本研究的目的是评估粪便样本采集方法对两个猫群体肠道微生物群组成的影响:健康猫和患有肾结石的猫。该研究包括来自同一群体的18只猫,其中9只健康猫和9只自发出现疑似草酸钙肾结石的猫。比较了三种粪便采集方法:直肠拭子、新鲜粪便采集以及暴露于环境空气中24小时的粪便采集。通过对16S rRNA基因V3 - V4区域的高分辨率测序分析细菌微生物群。对于所有猫,在同一个体内,单向PERMANOVA分析显示直肠拭子与新鲜粪便之间存在显著差异(P = 0.0003),直肠拭子与暴露于环境空气中24小时的粪便之间也存在显著差异(P = 0.0003),但新鲜粪便与非新鲜粪便之间未发现显著差异(P = 0.0651)。在比较两个猫群体时,本研究提供了看似相互矛盾的结果。(1)主成分分析(PCA)比较显示,仅当样本为新鲜粪便样本时,健康猫和患有肾结石的猫之间的细菌组成存在显著差异(P = 0.0037)。这一发现表明,参与猫肾结石发病机制的肠道细菌是腔内严格厌氧菌。因此,暴露于环境空气中会导致信息丢失,从而无法识别生态失调。对于临床研究,主人提供的非新鲜粪便样本似乎不适合研究患有肾结石的猫的肠道微生物群;应优先选择新鲜粪便。(2)有趣的是,仅直肠拭子就突出了两个群体之间主要门类比例的显著差异。这些发现突出了在研究猫肠道微生物群时仔细选择粪便采集方法的至关重要性。结合直肠拭子和新鲜粪便采样可提供互补的见解,从而在猫肾结石发病机制的背景下最准确地了解肠道微生物群组成。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4451/11677927/d3ef3fe7513f/microorganisms-12-02411-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4451/11677927/55954f8baa08/microorganisms-12-02411-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4451/11677927/2896f582b783/microorganisms-12-02411-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4451/11677927/5472839e1d46/microorganisms-12-02411-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4451/11677927/9eca31b747a4/microorganisms-12-02411-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4451/11677927/0a190785dc38/microorganisms-12-02411-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4451/11677927/d3ef3fe7513f/microorganisms-12-02411-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4451/11677927/55954f8baa08/microorganisms-12-02411-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4451/11677927/a0d7389941b8/microorganisms-12-02411-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4451/11677927/4f060273c773/microorganisms-12-02411-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4451/11677927/4dcea37d3644/microorganisms-12-02411-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4451/11677927/2896f582b783/microorganisms-12-02411-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4451/11677927/5472839e1d46/microorganisms-12-02411-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4451/11677927/9eca31b747a4/microorganisms-12-02411-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4451/11677927/0a190785dc38/microorganisms-12-02411-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4451/11677927/d3ef3fe7513f/microorganisms-12-02411-g009.jpg

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