Metabolic and proteomic signatures of type 2 diabetes subtypes in an Arab population
<div><p>Type 2 diabetes (T2D) has a heterogeneous etiology influencing its progression, treatment, and complications. A data driven cluster analysis in European individuals with T2D previously identified four subtypes: severe insulin deficient (SIDD), severe insulin resistant (SIRD), mil...
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2022
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| _version_ | 1864513517989658624 |
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| author | Shaza B. Zaghlool (10836602) |
| author2 | Anna Halama (545988) Nisha Stephan (17445912) Valborg Gudmundsdottir (4729773) Vilmundur Gudnason (8873) Lori L. Jennings (2522863) Manonanthini Thangam (9042905) Emma Ahlqvist (135003) Rayaz A. Malik (7372649) Omar M. E. Albagha (11704871) Abdul Badi Abou‑Samra (18434073) Karsten Suhre (67967) |
| author2_role | author author author author author author author author author author author |
| author_facet | Shaza B. Zaghlool (10836602) Anna Halama (545988) Nisha Stephan (17445912) Valborg Gudmundsdottir (4729773) Vilmundur Gudnason (8873) Lori L. Jennings (2522863) Manonanthini Thangam (9042905) Emma Ahlqvist (135003) Rayaz A. Malik (7372649) Omar M. E. Albagha (11704871) Abdul Badi Abou‑Samra (18434073) Karsten Suhre (67967) |
| author_role | author |
| dc.creator.none.fl_str_mv | Shaza B. Zaghlool (10836602) Anna Halama (545988) Nisha Stephan (17445912) Valborg Gudmundsdottir (4729773) Vilmundur Gudnason (8873) Lori L. Jennings (2522863) Manonanthini Thangam (9042905) Emma Ahlqvist (135003) Rayaz A. Malik (7372649) Omar M. E. Albagha (11704871) Abdul Badi Abou‑Samra (18434073) Karsten Suhre (67967) |
| dc.date.none.fl_str_mv | 2022-11-19T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1038/s41467-022-34754-z |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Metabolic_and_proteomic_signatures_of_type_2_diabetes_subtypes_in_an_Arab_population/25679859 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biological sciences Bioinformatics and computational biology Type 2 diabetes (T2D) Cluster analysis Subtypes Insulin deficiency Insulin resistance Proteins Complement system Autoimmune diabetes |
| dc.title.none.fl_str_mv | Metabolic and proteomic signatures of type 2 diabetes subtypes in an Arab population |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <div><p>Type 2 diabetes (T2D) has a heterogeneous etiology influencing its progression, treatment, and complications. A data driven cluster analysis in European individuals with T2D previously identified four subtypes: severe insulin deficient (SIDD), severe insulin resistant (SIRD), mild obesity-related (MOD), and mild age-related (MARD) diabetes. Here, the clustering approach was applied to individuals with T2D from the Qatar Biobank and validated in an independent set. Cluster-specific signatures of circulating metabolites and proteins were established, revealing subtype-specific molecular mechanisms, including activation of the complement system with features of autoimmune diabetes and reduced 1,5-anhydroglucitol in SIDD, impaired insulin signaling in SIRD, and elevated leptin and fatty acid binding protein levels in MOD. The MARD cluster was the healthiest with metabolomic and proteomic profiles most similar to the controls. We have translated the T2D subtypes to an Arab population and identified distinct molecular signatures to further our understanding of the etiology of these subtypes.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Nature Communications<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/10.1038/s41467-022-34754-z" target="_blank">https://dx.doi.org/10.1038/s41467-022-34754-z</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_677dd13cc7b92a04d90d221d62f3b8c5 |
| identifier_str_mv | 10.1038/s41467-022-34754-z |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25679859 |
| publishDate | 2022 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Metabolic and proteomic signatures of type 2 diabetes subtypes in an Arab populationShaza B. Zaghlool (10836602)Anna Halama (545988)Nisha Stephan (17445912)Valborg Gudmundsdottir (4729773)Vilmundur Gudnason (8873)Lori L. Jennings (2522863)Manonanthini Thangam (9042905)Emma Ahlqvist (135003)Rayaz A. Malik (7372649)Omar M. E. Albagha (11704871)Abdul Badi Abou‑Samra (18434073)Karsten Suhre (67967)Biological sciencesBioinformatics and computational biologyType 2 diabetes (T2D)Cluster analysisSubtypesInsulin deficiencyInsulin resistanceProteinsComplement systemAutoimmune diabetes<div><p>Type 2 diabetes (T2D) has a heterogeneous etiology influencing its progression, treatment, and complications. A data driven cluster analysis in European individuals with T2D previously identified four subtypes: severe insulin deficient (SIDD), severe insulin resistant (SIRD), mild obesity-related (MOD), and mild age-related (MARD) diabetes. Here, the clustering approach was applied to individuals with T2D from the Qatar Biobank and validated in an independent set. Cluster-specific signatures of circulating metabolites and proteins were established, revealing subtype-specific molecular mechanisms, including activation of the complement system with features of autoimmune diabetes and reduced 1,5-anhydroglucitol in SIDD, impaired insulin signaling in SIRD, and elevated leptin and fatty acid binding protein levels in MOD. The MARD cluster was the healthiest with metabolomic and proteomic profiles most similar to the controls. We have translated the T2D subtypes to an Arab population and identified distinct molecular signatures to further our understanding of the etiology of these subtypes.</p><p> </p></div><h2>Other Information</h2> <p> Published in: Nature Communications<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/10.1038/s41467-022-34754-z" target="_blank">https://dx.doi.org/10.1038/s41467-022-34754-z</a></p>2022-11-19T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1038/s41467-022-34754-zhttps://figshare.com/articles/journal_contribution/Metabolic_and_proteomic_signatures_of_type_2_diabetes_subtypes_in_an_Arab_population/25679859CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/256798592022-11-19T03:00:00Z |
| spellingShingle | Metabolic and proteomic signatures of type 2 diabetes subtypes in an Arab population Shaza B. Zaghlool (10836602) Biological sciences Bioinformatics and computational biology Type 2 diabetes (T2D) Cluster analysis Subtypes Insulin deficiency Insulin resistance Proteins Complement system Autoimmune diabetes |
| status_str | publishedVersion |
| title | Metabolic and proteomic signatures of type 2 diabetes subtypes in an Arab population |
| title_full | Metabolic and proteomic signatures of type 2 diabetes subtypes in an Arab population |
| title_fullStr | Metabolic and proteomic signatures of type 2 diabetes subtypes in an Arab population |
| title_full_unstemmed | Metabolic and proteomic signatures of type 2 diabetes subtypes in an Arab population |
| title_short | Metabolic and proteomic signatures of type 2 diabetes subtypes in an Arab population |
| title_sort | Metabolic and proteomic signatures of type 2 diabetes subtypes in an Arab population |
| topic | Biological sciences Bioinformatics and computational biology Type 2 diabetes (T2D) Cluster analysis Subtypes Insulin deficiency Insulin resistance Proteins Complement system Autoimmune diabetes |