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揭示肠道微生物群在预测直肠癌新辅助治疗不良事件中的作用。

Unraveling the role of gut microbiome in predicting adverse events in neoadjuvant therapy for rectal cancer.

作者信息

Ma Jingxin, Sun Shengbo, Cheng Xin, Meng Cong, Zhao Hanzheng, Fu Wentao, Gao Yan, Ma Liyan, Yang Zhengyang, Yao Hongwei, Su Jianrong

机构信息

Department of Clinical Laboratory, Beijing Friendship Hospital, Capital Medical University, Beijing, People's Republic of China.

School of Basic Medical Sciences, Capital Medical University, Beijing, People's Republic of China.

出版信息

Hum Vaccin Immunother. 2024 Dec 31;20(1):2430087. doi: 10.1080/21645515.2024.2430087. Epub 2024 Dec 2.

DOI:10.1080/21645515.2024.2430087
PMID:39623529
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11622589/
Abstract

Some patients may develop adverse events during neoadjuvant chemoradiotherapy combined with immunotherapy, influencing response rates. The roles of intestinal microbiome and its metabolites in therapeutic adverse events remain unclear. We collected baseline fecal samples from 21 patients with adverse events (AE group) and 11 patients without adverse events (Non-AE group). Their microbiota and metabolome were characterized using metagenomic shotgun sequencing and untargeted metabolomics. At the species level, the gut microbiota in the Non-AE group exhibits significantly higher abundance of . . and lower abundance of . , , compared to the AE group ( < .05). A total of 58 discriminative metabolites were identified between groups. Beta-alanine metabolism was scattered. Boc-beta-cyano-L-alanine and CoQ9 were significantly increased in patients without adverse events, while linoleic acid increased in patients with adverse events. The increased . in the Non-AE group was positively correlated with Boc-beta-cyano-L-alanine and negatively correlated with linoleic acid ( < .05). We constructed a combined microbiome-metabolite model to distinguish Non-AE and AE patients with an AUC of 0.963 via the random forest algorithm. Our findings provided a novel insight into the interplay of multispecies microbial cluster and metabolites of rectal patients with adverse events in neoadjuvant chemoradiotherapy combined with immunotherapy. These microbiota and metabolites deserve further investigations to reveal their roles in adverse events, providing clues for better treatment scenarios.: ClinicalTrials.gov identifier: NCT05368051.

摘要

一些患者在新辅助放化疗联合免疫治疗期间可能会出现不良事件,影响缓解率。肠道微生物群及其代谢产物在治疗不良事件中的作用仍不清楚。我们收集了21例发生不良事件患者(AE组)和11例未发生不良事件患者(非AE组)的基线粪便样本。使用宏基因组鸟枪法测序和非靶向代谢组学对其微生物群和代谢组进行了表征。在物种水平上,与AE组相比,非AE组的肠道微生物群中……的丰度显著更高,而……、……、……的丰度更低(P<0.05)。两组之间共鉴定出58种有鉴别意义的代谢产物。β-丙氨酸代谢存在差异。在未发生不良事件的患者中,Boc-β-氰基-L-丙氨酸和辅酶Q9显著增加,而在发生不良事件的患者中,亚油酸增加。非AE组中……的增加与Boc-β-氰基-L-丙氨酸呈正相关,与亚油酸呈负相关(P<0.05)。我们构建了一个微生物群-代谢产物联合模型,通过随机森林算法区分非AE组和AE组患者,曲线下面积为0.963。我们的研究结果为新辅助放化疗联合免疫治疗中发生不良事件的直肠癌患者的多物种微生物群簇与代谢产物之间的相互作用提供了新的见解。这些微生物群和代谢产物值得进一步研究,以揭示它们在不良事件中的作用,为更好的治疗方案提供线索。:ClinicalTrials.gov标识符:NCT05368051。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2294/11622589/46448c95eb77/KHVI_A_2430087_F0007_OC.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2294/11622589/46448c95eb77/KHVI_A_2430087_F0007_OC.jpg

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