Can the Salivary Microbiome Predict Cardiovascular Diseases? Lessons Learned From the Qatari Population
<h3>Background</h3><p dir="ltr">Many studies have linked dysbiosis of the gut microbiome to the development of cardiovascular diseases (CVD). However, studies assessing the association between the salivary microbiome and CVD risk on a large cohort remain sparse. This stud...
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2021
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| author | Selvasankar Murugesan (4376506) |
| author2 | Mohammed Elanbari (11822375) Dhinoth Kumar Bangarusamy (11822378) Annalisa Terranegra (3486953) Souhaila Al Khodor (89983) |
| author2_role | author author author author |
| author_facet | Selvasankar Murugesan (4376506) Mohammed Elanbari (11822375) Dhinoth Kumar Bangarusamy (11822378) Annalisa Terranegra (3486953) Souhaila Al Khodor (89983) |
| author_role | author |
| dc.creator.none.fl_str_mv | Selvasankar Murugesan (4376506) Mohammed Elanbari (11822375) Dhinoth Kumar Bangarusamy (11822378) Annalisa Terranegra (3486953) Souhaila Al Khodor (89983) |
| dc.date.none.fl_str_mv | 2021-12-10T06:00:00Z |
| dc.identifier.none.fl_str_mv | 10.3389/fmicb.2021.772736 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Can_the_Salivary_Microbiome_Predict_Cardiovascular_Diseases_Lessons_Learned_From_the_Qatari_Population/26020912 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biological sciences Genetics Biomedical and clinical sciences Cardiovascular medicine and haematology Medical microbiology CVD salivary microbiome precision medicine machine learning QGP |
| dc.title.none.fl_str_mv | Can the Salivary Microbiome Predict Cardiovascular Diseases? Lessons Learned From the Qatari Population |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <h3>Background</h3><p dir="ltr">Many studies have linked dysbiosis of the gut microbiome to the development of cardiovascular diseases (CVD). However, studies assessing the association between the salivary microbiome and CVD risk on a large cohort remain sparse. This study aims to identify whether a predictive salivary microbiome signature is associated with a high risk of developing CVD in the Qatari population.</p><h3>Methods</h3><p dir="ltr">Saliva samples from 2,974 Qatar Genome Project (QGP) participants were collected from Qatar Biobank (QBB). Based on the CVD score, subjects were classified into low-risk (LR < 10) (n = 2491), moderate-risk (MR = 10–20) (n = 320) and high-risk (HR > 30) (n = 163). To assess the salivary microbiome (SM) composition, 16S-rDNA libraries were sequenced and analyzed using QIIME-pipeline. Machine Learning (ML) strategies were used to identify SM-based predictors of CVD risk.</p><h3>Results</h3><p dir="ltr">Firmicutes and Bacteroidetes were the predominant phyla among all the subjects included. Linear Discriminant Analysis Effect Size (LEfSe) analysis revealed that Clostridiaceae and Capnocytophaga were the most significantly abundant genera in the LR group, while Lactobacillus and Rothia were significantly abundant in the HR group. ML based prediction models revealed that Desulfobulbus, Prevotella, and Tissierellaceae were the common predictors of increased risk to CVD.</p><h3>Conclusion</h3><p dir="ltr">This study identified significant differences in the SM composition in HR and LR CVD subjects. This is the first study to apply ML-based prediction modeling using the SM to predict CVD in an Arab population. More studies are required to better understand the mechanisms of how those microbes contribute to CVD.</p><h2>Other Information</h2><p dir="ltr">Published in: Frontiers in Microbiology<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3389/fmicb.2021.772736" target="_blank">https://dx.doi.org/10.3389/fmicb.2021.772736</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_e68fb2b0083bf59a1c7ed052fa3736b6 |
| identifier_str_mv | 10.3389/fmicb.2021.772736 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/26020912 |
| publishDate | 2021 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Can the Salivary Microbiome Predict Cardiovascular Diseases? Lessons Learned From the Qatari PopulationSelvasankar Murugesan (4376506)Mohammed Elanbari (11822375)Dhinoth Kumar Bangarusamy (11822378)Annalisa Terranegra (3486953)Souhaila Al Khodor (89983)Biological sciencesGeneticsBiomedical and clinical sciencesCardiovascular medicine and haematologyMedical microbiologyCVDsalivary microbiomeprecision medicinemachine learningQGP<h3>Background</h3><p dir="ltr">Many studies have linked dysbiosis of the gut microbiome to the development of cardiovascular diseases (CVD). However, studies assessing the association between the salivary microbiome and CVD risk on a large cohort remain sparse. This study aims to identify whether a predictive salivary microbiome signature is associated with a high risk of developing CVD in the Qatari population.</p><h3>Methods</h3><p dir="ltr">Saliva samples from 2,974 Qatar Genome Project (QGP) participants were collected from Qatar Biobank (QBB). Based on the CVD score, subjects were classified into low-risk (LR < 10) (n = 2491), moderate-risk (MR = 10–20) (n = 320) and high-risk (HR > 30) (n = 163). To assess the salivary microbiome (SM) composition, 16S-rDNA libraries were sequenced and analyzed using QIIME-pipeline. Machine Learning (ML) strategies were used to identify SM-based predictors of CVD risk.</p><h3>Results</h3><p dir="ltr">Firmicutes and Bacteroidetes were the predominant phyla among all the subjects included. Linear Discriminant Analysis Effect Size (LEfSe) analysis revealed that Clostridiaceae and Capnocytophaga were the most significantly abundant genera in the LR group, while Lactobacillus and Rothia were significantly abundant in the HR group. ML based prediction models revealed that Desulfobulbus, Prevotella, and Tissierellaceae were the common predictors of increased risk to CVD.</p><h3>Conclusion</h3><p dir="ltr">This study identified significant differences in the SM composition in HR and LR CVD subjects. This is the first study to apply ML-based prediction modeling using the SM to predict CVD in an Arab population. More studies are required to better understand the mechanisms of how those microbes contribute to CVD.</p><h2>Other Information</h2><p dir="ltr">Published in: Frontiers in Microbiology<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3389/fmicb.2021.772736" target="_blank">https://dx.doi.org/10.3389/fmicb.2021.772736</a></p>2021-12-10T06:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3389/fmicb.2021.772736https://figshare.com/articles/journal_contribution/Can_the_Salivary_Microbiome_Predict_Cardiovascular_Diseases_Lessons_Learned_From_the_Qatari_Population/26020912CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/260209122021-12-10T06:00:00Z |
| spellingShingle | Can the Salivary Microbiome Predict Cardiovascular Diseases? Lessons Learned From the Qatari Population Selvasankar Murugesan (4376506) Biological sciences Genetics Biomedical and clinical sciences Cardiovascular medicine and haematology Medical microbiology CVD salivary microbiome precision medicine machine learning QGP |
| status_str | publishedVersion |
| title | Can the Salivary Microbiome Predict Cardiovascular Diseases? Lessons Learned From the Qatari Population |
| title_full | Can the Salivary Microbiome Predict Cardiovascular Diseases? Lessons Learned From the Qatari Population |
| title_fullStr | Can the Salivary Microbiome Predict Cardiovascular Diseases? Lessons Learned From the Qatari Population |
| title_full_unstemmed | Can the Salivary Microbiome Predict Cardiovascular Diseases? Lessons Learned From the Qatari Population |
| title_short | Can the Salivary Microbiome Predict Cardiovascular Diseases? Lessons Learned From the Qatari Population |
| title_sort | Can the Salivary Microbiome Predict Cardiovascular Diseases? Lessons Learned From the Qatari Population |
| topic | Biological sciences Genetics Biomedical and clinical sciences Cardiovascular medicine and haematology Medical microbiology CVD salivary microbiome precision medicine machine learning QGP |