Publicação
Microbiota-mineral interacions : insights from stool analysis in healthy subjects
| Resumo: | Introduction: The gut microbiome plays a fundamental role in the metabolic processes of the gastrointestinal tract in both abiotic and biotic systems. Although minerals make up less than 5% of the typical diet, they are essential for maintaining normal physiological functions. Given their generally low gastrointestinal bioavailability, the gut microbiota is persistently exposed to a significant percentage of ingested minerals, affecting both the composition and metabolism of the gut microbiota. In turn, gut microbiota also alters the metabolism of the ingested minerals, influencing both their bioavailability and excretion. Methodology: To explore the potential relationship between gut microbiota composition and gut mineral content, faecal samples from healthy individuals were collected for DNA extraction and mineralization by closed-vessel microwave-assisted acid digestion. 16S rRNA V3-V4 hypervariable region sequencing was performed on DNA extracts and the elemental content of the mineralized faecal samples was analysed by inductively coupled plasma mass spectrometry. Sequencing data processing and analysis was performed using RStudio packages DADA2, phyloseq, and microViz. A Bayesian Dirichlet-multinomial regression model was used to estimate the relationship between faecal elemental content and gut microbiota composition at the genus level. Additional variables related to participants’ food consumption were also included in the model. Results: A total of 40 faecal samples were analysed, with 16S rRNA sequencing resulting in the detection of 1,523 different ASVs. The faecal content of 30 elements was determined. The median (P25-P75) elemental content of faeces ranged from 0.0053 (< 0.0038 – 0.0069) μg/g for Tl to 6.43 (5.24 - 7.18) mg/g for Na. In total, 18 elements and 178 genera were considered active in the regression model. In particular, the elements Co, Se, As, Cd, W, Hg and Pb were found to be strongly associated with a plethora of different bacterial genera. Conclusions: This study suggests a potential association between the intestinal mineral environment and the composition of the intestinal microbiota. Further research is needed to confirm these findings and delve deeper into the intricate interactions between these variables, clarifying their implications for health. |
|---|---|
| Autores principais: | Azevedo, Rui |
| Assunto: | microbiota microbiome minerals trace elements nutrition regression |
| Ano: | 2024 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso embargado |
| Instituição associada: | Universidade Nova de Lisboa |
| Idioma: | inglês |
| Origem: | Repositório Institucional da UNL |
| _version_ | 1868983547582218240 |
|---|---|
| author | Azevedo, Rui |
| author_facet | Azevedo, Rui |
| author_role | author |
| contributor_name_str_mv | Pestana, Diogo Marques, Cláudia Almeida, Agostinho RUN |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Azevedo, Rui\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Pestana, Diogo Marques, Cláudia Almeida, Agostinho RUN |
| datacite.creators.creator.creatorName.fl_str_mv | Azevedo, Rui |
| datacite.date.Accepted.fl_str_mv | 2024-07-25T00:00:00Z |
| datacite.date.available.fl_str_mv | 2027-07-25T00:00:00Z |
| datacite.date.embargoed.fl_str_mv | 2027-07-25T00:00:00Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_f1cf |
| datacite.subjects.subject.fl_str_mv | microbiota microbiome minerals trace elements nutrition regression |
| datacite.titles.title.fl_str_mv | Microbiota-mineral interacions : insights from stool analysis in healthy subjects |
| dc.contributor.none.fl_str_mv | Pestana, Diogo Marques, Cláudia Almeida, Agostinho RUN |
| dc.creator.none.fl_str_mv | Azevedo, Rui |
| dc.date.Accepted.fl_str_mv | 2024-07-25T00:00:00Z |
| dc.date.available.fl_str_mv | 2027-07-25T00:00:00Z |
| dc.date.embargoed.fl_str_mv | 2027-07-25T00:00:00Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10362/171202 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_f1cf |
| dc.subject.none.fl_str_mv | microbiota microbiome minerals trace elements nutrition regression |
| dc.title.fl_str_mv | Microbiota-mineral interacions : insights from stool analysis in healthy subjects |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_bdcc |
| description | Introduction: The gut microbiome plays a fundamental role in the metabolic processes of the gastrointestinal tract in both abiotic and biotic systems. Although minerals make up less than 5% of the typical diet, they are essential for maintaining normal physiological functions. Given their generally low gastrointestinal bioavailability, the gut microbiota is persistently exposed to a significant percentage of ingested minerals, affecting both the composition and metabolism of the gut microbiota. In turn, gut microbiota also alters the metabolism of the ingested minerals, influencing both their bioavailability and excretion. Methodology: To explore the potential relationship between gut microbiota composition and gut mineral content, faecal samples from healthy individuals were collected for DNA extraction and mineralization by closed-vessel microwave-assisted acid digestion. 16S rRNA V3-V4 hypervariable region sequencing was performed on DNA extracts and the elemental content of the mineralized faecal samples was analysed by inductively coupled plasma mass spectrometry. Sequencing data processing and analysis was performed using RStudio packages DADA2, phyloseq, and microViz. A Bayesian Dirichlet-multinomial regression model was used to estimate the relationship between faecal elemental content and gut microbiota composition at the genus level. Additional variables related to participants’ food consumption were also included in the model. Results: A total of 40 faecal samples were analysed, with 16S rRNA sequencing resulting in the detection of 1,523 different ASVs. The faecal content of 30 elements was determined. The median (P25-P75) elemental content of faeces ranged from 0.0053 (< 0.0038 – 0.0069) μg/g for Tl to 6.43 (5.24 - 7.18) mg/g for Na. In total, 18 elements and 178 genera were considered active in the regression model. In particular, the elements Co, Se, As, Cd, W, Hg and Pb were found to be strongly associated with a plethora of different bacterial genera. Conclusions: This study suggests a potential association between the intestinal mineral environment and the composition of the intestinal microbiota. Further research is needed to confirm these findings and delve deeper into the intricate interactions between these variables, clarifying their implications for health. |
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| format | masterThesis |
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| id | run_8465a2dffc69b3a39da80da9be563e18 |
| identifier.url.fl_str_mv | http://hdl.handle.net/10362/171202 |
| inst_facet_str | urn:organizationAcronym:unl{{{_:::_}}}Universidade Nova de Lisboa |
| instacron_str | unl |
| institution | Universidade Nova de Lisboa |
| instname_str | Universidade Nova de Lisboa |
| language | eng |
| network_acronym_str | run |
| network_name_str | Repositório Institucional da UNL |
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| organization_str_mv | urn:organizationAcronym:unl |
| person_str_mv | Azevedo, Rui |
| publishDate | 2024 |
| repo_facet_str | urn:repositoryAcronym:run{{{_:::_}}}Repositório Institucional da UNL |
| reponame_str | Repositório Institucional da UNL |
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| spelling | engpt_PTIntroduction: The gut microbiome plays a fundamental role in the metabolic processes of the gastrointestinal tract in both abiotic and biotic systems. Although minerals make up less than 5% of the typical diet, they are essential for maintaining normal physiological functions. Given their generally low gastrointestinal bioavailability, the gut microbiota is persistently exposed to a significant percentage of ingested minerals, affecting both the composition and metabolism of the gut microbiota. In turn, gut microbiota also alters the metabolism of the ingested minerals, influencing both their bioavailability and excretion. Methodology: To explore the potential relationship between gut microbiota composition and gut mineral content, faecal samples from healthy individuals were collected for DNA extraction and mineralization by closed-vessel microwave-assisted acid digestion. 16S rRNA V3-V4 hypervariable region sequencing was performed on DNA extracts and the elemental content of the mineralized faecal samples was analysed by inductively coupled plasma mass spectrometry. Sequencing data processing and analysis was performed using RStudio packages DADA2, phyloseq, and microViz. A Bayesian Dirichlet-multinomial regression model was used to estimate the relationship between faecal elemental content and gut microbiota composition at the genus level. Additional variables related to participants’ food consumption were also included in the model. Results: A total of 40 faecal samples were analysed, with 16S rRNA sequencing resulting in the detection of 1,523 different ASVs. The faecal content of 30 elements was determined. The median (P25-P75) elemental content of faeces ranged from 0.0053 (< 0.0038 – 0.0069) μg/g for Tl to 6.43 (5.24 - 7.18) mg/g for Na. In total, 18 elements and 178 genera were considered active in the regression model. In particular, the elements Co, Se, As, Cd, W, Hg and Pb were found to be strongly associated with a plethora of different bacterial genera. Conclusions: This study suggests a potential association between the intestinal mineral environment and the composition of the intestinal microbiota. Further research is needed to confirm these findings and delve deeper into the intricate interactions between these variables, clarifying their implications for health.application/pdfpt_PTMicrobiota-mineral interacions : insights from stool analysis in healthy subjectsAzevedo, RuiPestana, DiogoMarques, CláudiaAlmeida, AgostinhoHostingInstitutionOrganizationalRUNe-mailmailto:run@unl.ptrun@unl.ptURNurn:tid:2036906302024-07-252027-07-25T00:00:00Z2024-07-25T00:00:00ZHandlehttp://hdl.handle.net/10362/171202http://purl.org/coar/access_right/c_f1cfembargoed accessmicrobiotamicrobiomemineralstrace elementsnutritionregression2830711 bytesliteraturehttp://purl.org/coar/resource_type/c_bdccmaster thesis2024-07-25http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_f1cfapplication/pdffulltexthttps://run.unl.pt/bitstreams/7721d598-6b29-4d37-9a01-d2533fc5d351/download |
| spellingShingle | Microbiota-mineral interacions : insights from stool analysis in healthy subjects Azevedo, Rui microbiota microbiome minerals trace elements nutrition regression |
| status | SINGLETON |
| subject.fl_str_mv | microbiota microbiome minerals trace elements nutrition regression |
| title | Microbiota-mineral interacions : insights from stool analysis in healthy subjects |
| title_full | Microbiota-mineral interacions : insights from stool analysis in healthy subjects |
| title_fullStr | Microbiota-mineral interacions : insights from stool analysis in healthy subjects |
| title_full_unstemmed | Microbiota-mineral interacions : insights from stool analysis in healthy subjects |
| title_short | Microbiota-mineral interacions : insights from stool analysis in healthy subjects |
| title_sort | Microbiota-mineral interacions : insights from stool analysis in healthy subjects |
| topic | microbiota microbiome minerals trace elements nutrition regression |
| topic_facet | microbiota microbiome minerals trace elements nutrition regression |
| url | http://hdl.handle.net/10362/171202 |
| visible | 1 |