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肠道菌群失调的多种指标可预测实体器官移植受者的全因和病因特异性死亡率。

Multiple indicators of gut dysbiosis predict all-cause and cause-specific mortality in solid organ transplant recipients.

机构信息

Gastroenterology and Hepatology, University Medical Centre, Groningen, Netherlands.

University Medical Centre, Groningen, Netherlands.

出版信息

Gut. 2024 Sep 9;73(10):1650-1661. doi: 10.1136/gutjnl-2023-331441.

Abstract

OBJECTIVE

Gut microbiome composition is associated with multiple diseases, but relatively little is known about its relationship with long-term outcome measures. While gut dysbiosis has been linked to mortality risk in the general population, the relationship with overall survival in specific diseases has not been extensively studied. In the current study, we present results from an in-depth analysis of the relationship between gut dysbiosis and all-cause and cause-specific mortality in the setting of solid organ transplant recipients (SOTR).

DESIGN

We analysed 1337 metagenomes derived from faecal samples of 766 kidney, 334 liver, 170 lung and 67 heart transplant recipients part of the TransplantLines Biobank and Cohort-a prospective cohort study including extensive phenotype data with 6.5 years of follow-up. To analyze gut dysbiosis, we included an additional 8208 metagenomes from the general population of the same geographical area (northern Netherlands). Multivariable Cox regression and a machine learning algorithm were used to analyse the association between multiple indicators of gut dysbiosis, including individual species abundances, and all-cause and cause-specific mortality.

RESULTS

We identified two patterns representing overall microbiome community variation that were associated with both all-cause and cause-specific mortality. The gut microbiome distance between each transplantation recipient to the average of the general population was associated with all-cause mortality and death from infection, malignancy and cardiovascular disease. A multivariable Cox regression on individual species abundances identified 23 bacterial species that were associated with all-cause mortality, and by applying a machine learning algorithm, we identified a balance (a type of log-ratio) consisting of 19 out of the 23 species that were associated with all-cause mortality.

CONCLUSION

Gut dysbiosis is consistently associated with mortality in SOTR. Our results support the observations that gut dysbiosis is associated with long-term survival. Since our data do not allow us to infer causality, more preclinical research is needed to understand mechanisms before we can determine whether gut microbiome-directed therapies may be designed to improve long-term outcomes.

摘要

目的

肠道微生物组的组成与多种疾病有关,但人们对其与长期预后指标的关系知之甚少。虽然肠道菌群失调与普通人群的死亡风险有关,但在特定疾病中与总生存率的关系尚未得到广泛研究。在本研究中,我们介绍了深入分析肠道菌群失调与实体器官移植受者(SOTR)全因和特定原因死亡率之间关系的结果。

设计

我们分析了来自 766 名肾移植、334 名肝移植、170 名肺移植和 67 名心脏移植受者的粪便样本中的 1337 个宏基因组,这些样本来自于 TransplantLines 生物库和队列,这是一项包括广泛表型数据的前瞻性队列研究,随访时间为 6.5 年。为了分析肠道菌群失调,我们还包括了来自同一地理区域(荷兰北部)的 8208 个普通人群的宏基因组。多变量 Cox 回归和机器学习算法用于分析多种肠道菌群失调指标(包括个体物种丰度)与全因和特定原因死亡率之间的关联。

结果

我们确定了两种代表整个微生物群落变化的模式,它们与全因和特定原因死亡率都有关。每个移植受者的肠道微生物组与普通人群平均距离与全因死亡率以及感染、恶性肿瘤和心血管疾病导致的死亡有关。对个体物种丰度的多变量 Cox 回归确定了 23 种与全因死亡率相关的细菌物种,通过应用机器学习算法,我们确定了由 23 种物种中的 19 种组成的平衡(一种对数比)与全因死亡率相关。

结论

肠道菌群失调与 SOTR 的死亡率始终相关。我们的研究结果支持这样的观察结果,即肠道菌群失调与长期生存有关。由于我们的数据不允许我们推断因果关系,因此需要更多的临床前研究来了解机制,然后我们才能确定是否可以设计肠道微生物组靶向疗法来改善长期预后。

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