Key Laboratory of Molecular Medicine and Biotherapy, School of Life Sciences, Beijing Institute of Technology, Beijing, China.
Nebraska Food for Health Center, Department of Food Science and Technology, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
Appl Environ Microbiol. 2022 Feb 8;88(3):e0185121. doi: 10.1128/AEM.01851-21. Epub 2021 Dec 1.
Dietary polyphenols can significantly benefit human health, but their bioavailability is metabolically controlled by human gut microbiota. To facilitate the study of polyphenol metabolism for human gut health, we have manually curated experimentally characterized polyphenol utilization proteins (PUPs) from published literature. This resulted in 60 experimentally characterized PUPs (named seeds) with various metadata, such as species and substrate. Further database search found 107,851 homologs of the seeds from UniProt and UHGP (unified human gastrointestinal protein) databases. All PUP seeds and homologs were classified into protein classes, families, and subfamilies based on Enzyme Commission (EC) numbers, Pfam (protein family) domains, and sequence similarity networks. By locating PUP homologs in the genomes of UHGP, we have identified 1,074 physically linked PUP gene clusters (PGCs), which are potentially involved in polyphenol metabolism in the human gut. The gut microbiome of Africans was consistently ranked the top in terms of the abundance and prevalence of PUP homologs and PGCs among all geographical continents. This reflects the fact that dietary polyphenols are consumed by the African population more commonly than by other populations, such as Europeans and North Americans. A case study of the Hadza hunter-gatherer microbiome verified the feasibility of using dbPUP to profile metagenomic data for biologically meaningful discovery, suggesting an association between diet and PUP abundance. A Pfam domain enrichment analysis of PGCs identified a number of putatively novel PUP families. Lastly, a user-friendly web interface (https://bcb.unl.edu/dbpup/) provides all the data online to facilitate the research of polyphenol metabolism for improved human health. Long-term consumption of polyphenol-rich foods has been shown to lower the risk of various human diseases, such as cardiovascular diseases, cancers, and metabolic diseases. Raw polyphenols are often enzymatically processed by gut microbiome, which contains various polyphenol utilization proteins (PUPs) to produce metabolites with much higher bioaccessibility to gastrointestinal cells. This study delivered dbPUP as an online database for experimentally characterized PUPs and their homologs in human gut microbiome. This work also performed a systematic classification of PUPs into enzyme classes, families, and subfamilies. The signature Pfam domains were identified for PUP families, enabling conserved domain-based PUP annotation. This standardized sequence similarity-based PUP classification system offered a guideline for the future inclusion of new experimentally characterized PUPs and the creation of new PUP families. An in-depth data analysis was further conducted on PUP homologs and physically linked PUP gene clusters (PGCs) in gut microbiomes of different human populations.
饮食中的多酚对人类健康有显著益处,但它们的生物利用度受人体肠道微生物群的代谢控制。为了促进多酚代谢对人类肠道健康的研究,我们从已发表的文献中人工整理了经过实验验证的多酚利用蛋白(PUP)。这产生了 60 种经过实验验证的 PUP(命名为种子),具有各种元数据,如物种和底物。进一步的数据库搜索发现,UniProt 和 UHGP(统一人类胃肠道蛋白)数据库中有 107851 种种子的同源物。所有 PUP 种子和同源物都根据酶委员会(EC)编号、Pfam(蛋白质家族)结构域和序列相似性网络分类为蛋白质类别、家族和亚家族。通过在 UHGP 的基因组中定位 PUP 同源物,我们确定了 1074 个物理链接的 PUP 基因簇(PGC),这些基因簇可能参与人类肠道中的多酚代谢。在所有地理大陆中,非洲人的肠道微生物组在 PUP 同源物和 PGC 的丰度和流行程度方面一直位居榜首。这反映了这样一个事实,即与欧洲人和北美人相比,非洲人更常食用饮食中的多酚。对哈扎狩猎采集者微生物组的案例研究证实了使用 dbPUP 对宏基因组数据进行生物有意义的发现进行分析的可行性,表明饮食与 PUP 丰度之间存在关联。PGC 的 Pfam 结构域富集分析确定了一些可能的新型 PUP 家族。最后,一个用户友好的网络界面(https://bcb.unl.edu/dbpup/)在线提供所有数据,以促进多酚代谢的研究,从而改善人类健康。长期摄入富含多酚的食物已被证明可以降低各种人类疾病的风险,如心血管疾病、癌症和代谢疾病。原始多酚通常由肠道微生物群中的各种多酚利用蛋白(PUP)进行酶促加工,以产生生物利用度更高的代谢物,这些代谢物更容易被胃肠道细胞吸收。本研究提供了 dbPUP,这是一个在线数据库,用于人类肠道微生物群中经过实验验证的 PUP 及其同源物。本工作还对 PUP 进行了系统分类,分为酶类、家族和亚家族。确定了 PUP 家族的特征 Pfam 结构域,实现了基于保守结构域的 PUP 注释。这个标准化的基于序列相似性的 PUP 分类系统为未来包含新的经过实验验证的 PUP 和创建新的 PUP 家族提供了指导。进一步对不同人群肠道微生物群中的 PUP 同源物和物理链接的 PUP 基因簇(PGC)进行了深入数据分析。
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