An integrated multi-omic approach demonstrates distinct molecular signatures between human obesity with and without metabolic complications: a case–control study
<h3>Objectives</h3><p dir="ltr">To examine the hypothesis that obesity complicated by the metabolic syndrome, compared to uncomplicated obesity, has distinct molecular signatures and metabolic pathways.</p><h3>Methods</h3><p dir="ltr">We...
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2023
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| _version_ | 1864513526855368704 |
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| author | Fayaz Ahmad Mir (11828354) |
| author2 | Raghvendra Mall (581171) Ehsan Ullah (2698921) Ahmad Iskandarani (3520067) Farhan Cyprian (12829466) Tareq A. Samra (9440765) Meis Alkasem (9440768) Ibrahem Abdalhakam (13134576) Faisal Farooq (13134579) Shahrad Taheri (57360) Abdul-Badi Abou-Samra (3411167) |
| author2_role | author author author author author author author author author author |
| author_facet | Fayaz Ahmad Mir (11828354) Raghvendra Mall (581171) Ehsan Ullah (2698921) Ahmad Iskandarani (3520067) Farhan Cyprian (12829466) Tareq A. Samra (9440765) Meis Alkasem (9440768) Ibrahem Abdalhakam (13134576) Faisal Farooq (13134579) Shahrad Taheri (57360) Abdul-Badi Abou-Samra (3411167) |
| author_role | author |
| dc.creator.none.fl_str_mv | Fayaz Ahmad Mir (11828354) Raghvendra Mall (581171) Ehsan Ullah (2698921) Ahmad Iskandarani (3520067) Farhan Cyprian (12829466) Tareq A. Samra (9440765) Meis Alkasem (9440768) Ibrahem Abdalhakam (13134576) Faisal Farooq (13134579) Shahrad Taheri (57360) Abdul-Badi Abou-Samra (3411167) |
| dc.date.none.fl_str_mv | 2023-03-29T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1186/s12967-023-04074-x |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/An_integrated_multi-omic_approach_demonstrates_distinct_molecular_signatures_between_human_obesity_with_and_without_metabolic_complications_a_case_control_study/25257157 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biological sciences Biochemistry and cell biology integrated multi-omic human obesity metabolic complications metabolic syndrome |
| dc.title.none.fl_str_mv | An integrated multi-omic approach demonstrates distinct molecular signatures between human obesity with and without metabolic complications: a case–control study |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <h3>Objectives</h3><p dir="ltr">To examine the hypothesis that obesity complicated by the metabolic syndrome, compared to uncomplicated obesity, has distinct molecular signatures and metabolic pathways.</p><h3>Methods</h3><p dir="ltr">We analyzed a cohort of 39 participants with obesity that included 21 with metabolic syndrome, age-matched to 18 without metabolic complications. We measured in whole blood samples 754 human microRNAs (miRNAs), 704 metabolites using unbiased mass spectrometry metabolomics, and 25,682 transcripts, which include both protein coding genes (PCGs) as well as non-coding transcripts. We then identified differentially expressed miRNAs, PCGs, and metabolites and integrated them using databases such as mirDIP (mapping between miRNA-PCG network), Human Metabolome Database (mapping between metabolite-PCG network) and tools like MetaboAnalyst (mapping between metabolite-metabolic pathway network) to determine dysregulated metabolic pathways in obesity with metabolic complications.</p><h3>Results</h3><p dir="ltr">We identified 8 significantly enriched metabolic pathways comprising 8 metabolites, 25 protein coding genes and 9 microRNAs which are each differentially expressed between the subjects with obesity and those with obesity and metabolic syndrome. By performing unsupervised hierarchical clustering on the enrichment matrix of the 8 metabolic pathways, we could approximately segregate the uncomplicated obesity strata from that of obesity with metabolic syndrome.</p><h3>Conclusions</h3><p dir="ltr">The data suggest that at least 8 metabolic pathways, along with their various dysregulated elements, identified via our integrative bioinformatics pipeline, can potentially differentiate those with obesity from those with obesity and metabolic complications.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Translational Medicine<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/10.1186/s12967-023-04074-x" target="_blank">https://dx.doi.org/10.1186/s12967-023-04074-x</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_c8bc5e73273c79704494e6a304656328 |
| identifier_str_mv | 10.1186/s12967-023-04074-x |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25257157 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | An integrated multi-omic approach demonstrates distinct molecular signatures between human obesity with and without metabolic complications: a case–control studyFayaz Ahmad Mir (11828354)Raghvendra Mall (581171)Ehsan Ullah (2698921)Ahmad Iskandarani (3520067)Farhan Cyprian (12829466)Tareq A. Samra (9440765)Meis Alkasem (9440768)Ibrahem Abdalhakam (13134576)Faisal Farooq (13134579)Shahrad Taheri (57360)Abdul-Badi Abou-Samra (3411167)Biological sciencesBiochemistry and cell biologyintegrated multi-omichuman obesitymetabolic complicationsmetabolic syndrome<h3>Objectives</h3><p dir="ltr">To examine the hypothesis that obesity complicated by the metabolic syndrome, compared to uncomplicated obesity, has distinct molecular signatures and metabolic pathways.</p><h3>Methods</h3><p dir="ltr">We analyzed a cohort of 39 participants with obesity that included 21 with metabolic syndrome, age-matched to 18 without metabolic complications. We measured in whole blood samples 754 human microRNAs (miRNAs), 704 metabolites using unbiased mass spectrometry metabolomics, and 25,682 transcripts, which include both protein coding genes (PCGs) as well as non-coding transcripts. We then identified differentially expressed miRNAs, PCGs, and metabolites and integrated them using databases such as mirDIP (mapping between miRNA-PCG network), Human Metabolome Database (mapping between metabolite-PCG network) and tools like MetaboAnalyst (mapping between metabolite-metabolic pathway network) to determine dysregulated metabolic pathways in obesity with metabolic complications.</p><h3>Results</h3><p dir="ltr">We identified 8 significantly enriched metabolic pathways comprising 8 metabolites, 25 protein coding genes and 9 microRNAs which are each differentially expressed between the subjects with obesity and those with obesity and metabolic syndrome. By performing unsupervised hierarchical clustering on the enrichment matrix of the 8 metabolic pathways, we could approximately segregate the uncomplicated obesity strata from that of obesity with metabolic syndrome.</p><h3>Conclusions</h3><p dir="ltr">The data suggest that at least 8 metabolic pathways, along with their various dysregulated elements, identified via our integrative bioinformatics pipeline, can potentially differentiate those with obesity from those with obesity and metabolic complications.</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Translational Medicine<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/10.1186/s12967-023-04074-x" target="_blank">https://dx.doi.org/10.1186/s12967-023-04074-x</a></p>2023-03-29T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1186/s12967-023-04074-xhttps://figshare.com/articles/journal_contribution/An_integrated_multi-omic_approach_demonstrates_distinct_molecular_signatures_between_human_obesity_with_and_without_metabolic_complications_a_case_control_study/25257157CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/252571572023-03-29T03:00:00Z |
| spellingShingle | An integrated multi-omic approach demonstrates distinct molecular signatures between human obesity with and without metabolic complications: a case–control study Fayaz Ahmad Mir (11828354) Biological sciences Biochemistry and cell biology integrated multi-omic human obesity metabolic complications metabolic syndrome |
| status_str | publishedVersion |
| title | An integrated multi-omic approach demonstrates distinct molecular signatures between human obesity with and without metabolic complications: a case–control study |
| title_full | An integrated multi-omic approach demonstrates distinct molecular signatures between human obesity with and without metabolic complications: a case–control study |
| title_fullStr | An integrated multi-omic approach demonstrates distinct molecular signatures between human obesity with and without metabolic complications: a case–control study |
| title_full_unstemmed | An integrated multi-omic approach demonstrates distinct molecular signatures between human obesity with and without metabolic complications: a case–control study |
| title_short | An integrated multi-omic approach demonstrates distinct molecular signatures between human obesity with and without metabolic complications: a case–control study |
| title_sort | An integrated multi-omic approach demonstrates distinct molecular signatures between human obesity with and without metabolic complications: a case–control study |
| topic | Biological sciences Biochemistry and cell biology integrated multi-omic human obesity metabolic complications metabolic syndrome |