Multimodal analysis identifies microbiome changes linked to stem cell transplantation-associated diseases.

IF 13.8 1区 生物学 Q1 MICROBIOLOGY Microbiome Pub Date : 2024-11-07 DOI:10.1186/s40168-024-01948-0
Alejandro Artacho, Cintya González-Torres, Nuria Gómez-Cebrián, Paula Moles-Poveda, Javier Pons, Nuria Jiménez, María Jinglei Casanova, Juan Montoro, Aitana Balaguer, Marta Villalba, Pedro Chorão, Leonor Puchades-Carrasco, Jaime Sanz, Carles Ubeda
{"title":"Multimodal analysis identifies microbiome changes linked to stem cell transplantation-associated diseases.","authors":"Alejandro Artacho, Cintya González-Torres, Nuria Gómez-Cebrián, Paula Moles-Poveda, Javier Pons, Nuria Jiménez, María Jinglei Casanova, Juan Montoro, Aitana Balaguer, Marta Villalba, Pedro Chorão, Leonor Puchades-Carrasco, Jaime Sanz, Carles Ubeda","doi":"10.1186/s40168-024-01948-0","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Allogeneic hematopoietic stem cell transplantation (allo-HSCT) is one of the most efficient therapeutic options available to cure many hematological malignancies. However, severe complications derived from this procedure, including graft-versus-host disease (GVHD) and infections, can limit its success and negatively impact survival. Previous studies have shown that alterations in the microbiome are associated with the development of allo-HSCT-derived complications. However, most studies relied on single techniques that can only analyze a unique aspect of the microbiome, which hinders our ability to understand how microbiome alterations drive allo-HSCT-associated diseases.</p><p><strong>Results: </strong>Here, we have applied multiple \"omic\" techniques (16S rRNA and shotgun sequencing, targeted and un-targeted metabolomics) in combination with machine learning approaches to define the most significant microbiome changes following allo-HSCT at multiple modalities (bacterial taxa, encoded functions, and derived metabolites). In addition, multivariate approaches were applied to study interactions among the various microbiome modalities (the interactome). Our results show that the microbiome of transplanted patients exhibits substantial changes in all studied modalities. These include depletion of beneficial microbes, mainly from the Clostridiales order, loss of their bacterial encoded functions required for the synthesis of key metabolites, and a reduction in metabolic end products such as short chain fatty acids (SCFAs). These changes were followed by an expansion of bacteria that frequently cause infections after allo-HSCT, including several Staphylococcus species, which benefit from the reduction of bacteriostatic SCFAs. Additionally, we found specific alterations in all microbiome modalities that distinguished those patients who subsequently developed GVHD, including depletion of anti-inflammatory commensals, protective reactive oxygen detoxifying enzymes, and immunoregulatory metabolites such as acetate or malonate. Moreover, extensive shifts in the homeostatic relationship between bacteria and their metabolic products (e.g., Faecalibacterium and butyrate) were detected mainly in patients who later developed GVHD.</p><p><strong>Conclusions: </strong>We have identified specific microbiome changes at different modalities (microbial taxa, their encoded genes, and synthetized metabolites) and at the interface between them (the interactome) that precede the development of complications associated with allo-HSCT. These identified microbial features provide novel targets for the design of microbiome-based strategies to prevent diseases associated with stem cell transplantation. Video Abstract.</p>","PeriodicalId":18447,"journal":{"name":"Microbiome","volume":"12 1","pages":"229"},"PeriodicalIF":13.8000,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11542268/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microbiome","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s40168-024-01948-0","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Allogeneic hematopoietic stem cell transplantation (allo-HSCT) is one of the most efficient therapeutic options available to cure many hematological malignancies. However, severe complications derived from this procedure, including graft-versus-host disease (GVHD) and infections, can limit its success and negatively impact survival. Previous studies have shown that alterations in the microbiome are associated with the development of allo-HSCT-derived complications. However, most studies relied on single techniques that can only analyze a unique aspect of the microbiome, which hinders our ability to understand how microbiome alterations drive allo-HSCT-associated diseases.

Results: Here, we have applied multiple "omic" techniques (16S rRNA and shotgun sequencing, targeted and un-targeted metabolomics) in combination with machine learning approaches to define the most significant microbiome changes following allo-HSCT at multiple modalities (bacterial taxa, encoded functions, and derived metabolites). In addition, multivariate approaches were applied to study interactions among the various microbiome modalities (the interactome). Our results show that the microbiome of transplanted patients exhibits substantial changes in all studied modalities. These include depletion of beneficial microbes, mainly from the Clostridiales order, loss of their bacterial encoded functions required for the synthesis of key metabolites, and a reduction in metabolic end products such as short chain fatty acids (SCFAs). These changes were followed by an expansion of bacteria that frequently cause infections after allo-HSCT, including several Staphylococcus species, which benefit from the reduction of bacteriostatic SCFAs. Additionally, we found specific alterations in all microbiome modalities that distinguished those patients who subsequently developed GVHD, including depletion of anti-inflammatory commensals, protective reactive oxygen detoxifying enzymes, and immunoregulatory metabolites such as acetate or malonate. Moreover, extensive shifts in the homeostatic relationship between bacteria and their metabolic products (e.g., Faecalibacterium and butyrate) were detected mainly in patients who later developed GVHD.

Conclusions: We have identified specific microbiome changes at different modalities (microbial taxa, their encoded genes, and synthetized metabolites) and at the interface between them (the interactome) that precede the development of complications associated with allo-HSCT. These identified microbial features provide novel targets for the design of microbiome-based strategies to prevent diseases associated with stem cell transplantation. Video Abstract.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
多模式分析确定了与干细胞移植相关疾病有关的微生物组变化。
背景:异基因造血干细胞移植(allo-HSCT异基因造血干细胞移植(allo-HSCT)是治疗多种血液恶性肿瘤最有效的方法之一。然而,移植抗宿主疾病(GVHD)和感染等严重并发症会限制移植的成功率,并对存活率产生负面影响。以往的研究表明,微生物组的改变与allo-HSCT衍生并发症的发生有关。然而,大多数研究依赖于只能分析微生物组某一独特方面的单一技术,这阻碍了我们了解微生物组的改变如何驱动allo-HSCT相关疾病的能力:在这里,我们应用了多种 "omic "技术(16S rRNA和霰弹枪测序、靶向和非靶向代谢组学),结合机器学习方法,通过多种模式(细菌类群、编码功能和衍生代谢物)确定了allo-HSCT后微生物组最显著的变化。此外,我们还采用多元方法研究了各种微生物组模式之间的相互作用(交互组)。我们的研究结果表明,移植患者的微生物组在所有研究模式中都发生了重大变化。这些变化包括有益微生物(主要是梭状芽孢杆菌)的减少、合成关键代谢物所需的细菌编码功能的丧失以及代谢终产物(如短链脂肪酸)的减少。在发生这些变化后,异体 HSCT 后经常引起感染的细菌也随之增多,其中包括几种葡萄球菌,它们从抑菌性 SCFAs 的减少中获益。此外,我们还发现所有微生物组模式都发生了特异性改变,这些改变将随后发生 GVHD 的患者区分开来,包括抗炎共生菌、保护性活性氧解毒酶和免疫调节代谢物(如醋酸盐或丙二酸盐)的耗竭。此外,细菌及其代谢产物(如粪杆菌和丁酸盐)之间的平衡关系也发生了广泛变化,这种变化主要出现在后来发生 GVHD 的患者身上:我们发现了不同模式(微生物类群、其编码基因和合成代谢产物)和它们之间的界面(相互作用组)上的特定微生物组变化,这些变化发生在发生与异体造血干细胞移植相关的并发症之前。这些已确定的微生物特征为设计基于微生物的策略预防干细胞移植相关疾病提供了新的目标。视频摘要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Microbiome
Microbiome MICROBIOLOGY-
CiteScore
21.90
自引率
2.60%
发文量
198
审稿时长
4 weeks
期刊介绍: Microbiome is a journal that focuses on studies of microbiomes in humans, animals, plants, and the environment. It covers both natural and manipulated microbiomes, such as those in agriculture. The journal is interested in research that uses meta-omics approaches or novel bioinformatics tools and emphasizes the community/host interaction and structure-function relationship within the microbiome. Studies that go beyond descriptive omics surveys and include experimental or theoretical approaches will be considered for publication. The journal also encourages research that establishes cause and effect relationships and supports proposed microbiome functions. However, studies of individual microbial isolates/species without exploring their impact on the host or the complex microbiome structures and functions will not be considered for publication. Microbiome is indexed in BIOSIS, Current Contents, DOAJ, Embase, MEDLINE, PubMed, PubMed Central, and Science Citations Index Expanded.
期刊最新文献
Correction: Parabacteroides distasonis regulates the infectivity and pathogenicity of SVCV at different water temperatures. The intestinal microbiome and Cetobacterium somerae inhibit viral infection through TLR2-type I IFN signaling axis in zebrafish. Multi-omics investigation into long-distance road transportation effects on respiratory health and immunometabolic responses in calves. The fall armyworm converts maize endophytes into its own probiotics to detoxify benzoxazinoids and promote caterpillar growth. Integrated multi-approaches reveal unique metabolic mechanisms of Vestimentifera to adapt to deep sea.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1