Background: Stool cards have been used for microbiome assessment in epidemiologic studies. Methods: We compared shotgun metagenomic sequencing from 32 participants who self-collected stool samples from the same bowel movement using a custom stool card versus a collection tube with 95% ethanol fixative in the Nurses’ Health Study II. We evaluated the agreement between methods at both the whole-community and individual species levels. To contextualize the comparison for disease association studies, we assessed the performance of the two collection methods for differentiating colorectal cancer–associated taxa. Results: Overall, metagenomes from cards and 95% ethanol were highly correlated within individuals. No difference was found in α diversity and only ∼1% of variation in β diversity was explained by the collection method. At the species level, although the relative abundances were highly correlated between card and ethanol sample pairs (Spearman rho ¼ 0.96), 10 (of 239) species showed a differential abundance in paired samples, including overrepresentation of Escherichia coli and underrepresentation of three Streptococcus species in cards compared with ethanol. Among a set of 99 colorectal cancer–associated species, four showed differential abundances between collection methods; however, this number was consistent with that expected by chance. Conclusions: Metagenomic sequencing using stool samples self-collected using stool cards or 95% ethanol yielded largely consistent results although differential abundances were observed for a small number of individual species.

Comparing the Metagenomic Performance of Stools Collected from Custom Cards and 95% Ethanol in Epidemiologic Studies / Kuntz, T.M., Liu, L., Wang, K., Everett, C., Eliassen, A.H., Willett, W.C., Sinha, R., Chan, A.T., Rimm, E.B., Garrett, W.S., Segata, N., Piccinno, G., Huttenhower, C., Morgan, X., Song, M.. - In: CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION. - ISSN 1538-7755. - 34:8(2025), pp. 1368-1376. [10.1158/1055-9965.EPI-25-0157]

Comparing the Metagenomic Performance of Stools Collected from Custom Cards and 95% Ethanol in Epidemiologic Studies

Segata, Nicola;Piccinno, Gianmarco;
2025-01-01

Abstract

Background: Stool cards have been used for microbiome assessment in epidemiologic studies. Methods: We compared shotgun metagenomic sequencing from 32 participants who self-collected stool samples from the same bowel movement using a custom stool card versus a collection tube with 95% ethanol fixative in the Nurses’ Health Study II. We evaluated the agreement between methods at both the whole-community and individual species levels. To contextualize the comparison for disease association studies, we assessed the performance of the two collection methods for differentiating colorectal cancer–associated taxa. Results: Overall, metagenomes from cards and 95% ethanol were highly correlated within individuals. No difference was found in α diversity and only ∼1% of variation in β diversity was explained by the collection method. At the species level, although the relative abundances were highly correlated between card and ethanol sample pairs (Spearman rho ¼ 0.96), 10 (of 239) species showed a differential abundance in paired samples, including overrepresentation of Escherichia coli and underrepresentation of three Streptococcus species in cards compared with ethanol. Among a set of 99 colorectal cancer–associated species, four showed differential abundances between collection methods; however, this number was consistent with that expected by chance. Conclusions: Metagenomic sequencing using stool samples self-collected using stool cards or 95% ethanol yielded largely consistent results although differential abundances were observed for a small number of individual species.
2025
8
Kuntz, Thomas M; Liu, Ling; Wang, Kai; Everett, Christine; Eliassen, A Heather; Willett, Walter C; Sinha, Rashmi; Chan, Andrew T; Rimm, Eric B; Garret...espandi
Comparing the Metagenomic Performance of Stools Collected from Custom Cards and 95% Ethanol in Epidemiologic Studies / Kuntz, T.M., Liu, L., Wang, K., Everett, C., Eliassen, A.H., Willett, W.C., Sinha, R., Chan, A.T., Rimm, E.B., Garrett, W.S., Segata, N., Piccinno, G., Huttenhower, C., Morgan, X., Song, M.. - In: CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION. - ISSN 1538-7755. - 34:8(2025), pp. 1368-1376. [10.1158/1055-9965.EPI-25-0157]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/504131
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