Handing on Health to the Next Generation

Holmes, Elaine; MacIntyre, David A.; Modi, Neena; Marchesi, Julian R.

doi:10.1016/b978-0-12-800344-2.00008-2

Cited by 2 publications

(4 citation statements)

References 214 publications

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“…To our knowledge, there is limited information associated with urine metabolome and cervicovaginal microbiome. Nonetheless, a recent study that applied the integrative multi-omics approach found a complex biochemical interplay between the cervicovaginal microbiome and urine metabolome in women at risk of preterm premature rupture of the membranes [31]. Moreover, this study suggested that monitoring associations between urine metabolome and vaginal microbiota-host interactions could facilitate the stratification of patient groups, which may require or respond appropriately to a given treatment regime.…”

Section: Introductionmentioning

confidence: 79%

“…3 metabolome in women at risk of preterm premature rupture of the membranes [31]. Moreover, this study suggested that monitoring associations between urine metabolome and vaginal microbiotahost interactions could facilitate the stratification of patient groups, which may require or respond appropriately to a given treatment regime.…”

Section: Bacterial Taxa Associated With Vaginal Samplesmentioning

confidence: 85%

“…However, the relationship between taxonomic and functional shifts of the host's microbiome and peripheral site metabolomes remains largely unexplored, and only a few studies so far have characterized the associations of individual taxa with circulation metabolome using plasma [27] and serum [25,26]. Nevertheless, a recent study aimed to identify taxonomic and metabolic alterations in the cervicovaginal microbiome and urine metabolome in women at risk of preterm premature rupture of the membranes found functional associations between microbiome and metabolome, which could facilitate an appropriate response to a given treatment regime [31]. Therefore, we investigated whether differences in the vaginal and cervical microbiota, in connection to the HPV status, explained variations observed in the urine metabolome dataset.…”

Section: Discussionmentioning

confidence: 99%

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Cervicovaginal Microbiome and Urine Metabolome Paired Analysis Reveals Niche Partitioning of the Microbiota in Patients with Human Papilloma Virus Infections

2020

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In this study, we evaluate the association between vaginal and cervical human papillomavirus infections high-risk types (HPV+H), negative controls (HPV−), the bacterial biota, and urinary metabolites via integration of metagenomics, metabolomics, and bioinformatics analysis. We recently proposed that testing urine as a biofluid could be a non-invasive method for the detection of cervical HPV+H infections by evaluating the association between cervical HPV types and a total of 24 urinary metabolites identified in the samples. As a follow-up study, we expanded the analysis by pairing the urine metabolome data with vaginal and cervical microbiota in selected samples from 19 Puerto Rican women diagnosed with HPV+H infections and HPV− controls, using a novel comprehensive framework, Model-based Integration of Metabolite Observations and Species Abundances 2 (MIMOSA2). This approach enabled us to estimate the functional activities of the cervicovaginal microbiome associated with HPV+H infections. Our results suggest that HPV+H infections could induce changes in physicochemical properties of the genital tract through which niche partitioning may occur. As a result, Lactobacillus sp. enrichment coincided with the depletion of L. iners and Shuttleworthia, which dominate under normal physiological conditions. Changes in the diversity of microbial species in HPV+H groups influence the capacity of new community members to produce or consume metabolites. In particular, the functionalities of four metabolic enzymes were predicted to be associated with the microbiota, including acylphosphatase, prolyl aminopeptidase, prolyl-tRNA synthetase, and threonyl-tRNA synthetase. Such metabolic changes may influence systemic health effects in women at risk of developing cervical cancer. Overall, even assuming the limitation of the power due to the small sample number, our study adds to current knowledge by suggesting how microbial taxonomic and metabolic shifts induced by HPV infections may influence the maintenance of microbial homeostasis and indicate that HPV+H infections may alter the ecological balance of the cervicovaginal microbiota, resulting in higher bacterial diversity.

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Section: Introductionmentioning

confidence: 79%

Section: Bacterial Taxa Associated With Vaginal Samplesmentioning

confidence: 85%

Section: Discussionmentioning

confidence: 99%

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Cervicovaginal Microbiome and Urine Metabolome Paired Analysis Reveals Niche Partitioning of the Microbiota in Patients with Human Papilloma Virus Infections

2020

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“…Indeed, evidence suggests that biomarkers for cervical cancer may be exfoliated as debris in urine, which could facilitate diagnostics [50]. Since circulating metabolites are finally excreted through urine [51], recent studies suggest that exploring the association between urine metabolome and host microbiome (gut or even cervicovaginal) may complement sequencing-based approaches with a functional readout of the host microbiome and its interaction with host [52,53]. Indeed, a recent study coupling gut microbiome and urine metabolomics suggests that gut bacterial compositional changes could eventually be monitored and probed using urine metabolomics [52].…”

Section: Discussionmentioning

confidence: 99%

A Protocol for the Multi-Omic Integration of Cervical Microbiota and Urine Metabolomics to Understand Human Papillomavirus (HPV)-Driven Dysbiosis

Chorna

Godoy-Vitorino

2020

Biomedicines

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The multi-omic integration of microbiota data with metabolomics has gained popularity. This protocol is based on a human multi-omics study, integrating cervicovaginal microbiota, HPV status and neoplasia, with urinary metabolites. Indeed, to understand the biology of the infections and to develop adequate interventions for cervical cancer prevention, studies are needed to characterize in detail the cervical microbiota and understand the systemic metabolome. This article is a detailed protocol for the multi-omic integration of cervical microbiota and urine metabolome to shed light on the systemic effects of cervical dysbioses associated with Human Papillomavirus (HPV) infections. This methods article suggests detailed sample collection and laboratory processes of metabolomics, DNA extraction for microbiota, HPV typing, and the bioinformatic analyses of the data, both to characterize the metabolome, the microbiota, and joint multi-omic analyses, useful for the development of new point-of-care diagnostic tests based on these approaches.

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Handing on Health to the Next Generation

Cited by 2 publications

References 214 publications

Cervicovaginal Microbiome and Urine Metabolome Paired Analysis Reveals Niche Partitioning of the Microbiota in Patients with Human Papilloma Virus Infections

Cervicovaginal Microbiome and Urine Metabolome Paired Analysis Reveals Niche Partitioning of the Microbiota in Patients with Human Papilloma Virus Infections

A Protocol for the Multi-Omic Integration of Cervical Microbiota and Urine Metabolomics to Understand Human Papillomavirus (HPV)-Driven Dysbiosis

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