Untargeted Metabolomic Profiling Reveals Differentially Expressed Serum Metabolites and Pathways in Type 2 Diabetes Patients with and without Cognitive Decline: A Cross-Sectional Study
<p dir="ltr">Diabetes is recognized as a risk factor for cognitive decline, but the underlying mechanisms remain elusive. We aimed to identify the metabolic pathways altered in diabetes-associated cognitive decline (DACD) using untargeted metabolomics. We conducted liquid chromatogra...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | , , , , , , , , , , , , , , , |
| منشور في: |
2024
|
| الموضوعات: | |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| _version_ | 1864513509779308544 |
|---|---|
| author | Neyla S. Al-Akl (10914449) |
| author2 | Olfa Khalifa (10914452) Georgios Ponirakis (803076) Aijaz Parray (290256) Marwan Ramadan (17499450) Shafi Khan (17499453) Mani Chandran (17499447) Raheem Ayadathil (14150124) Ahmed Elsotouhy (3853348) Ahmed Own (6677990) Hanadi Al Hamad (12229412) Julie Decock (44558) Nehad M. Alajez (7397276) Omar Albagha (8977856) Rayaz A. Malik (7372649) Omar M. A. El-Agnaf (8809331) Abdelilah Arredouani (10914455) |
| author2_role | author author author author author author author author author author author author author author author author |
| author_facet | Neyla S. Al-Akl (10914449) Olfa Khalifa (10914452) Georgios Ponirakis (803076) Aijaz Parray (290256) Marwan Ramadan (17499450) Shafi Khan (17499453) Mani Chandran (17499447) Raheem Ayadathil (14150124) Ahmed Elsotouhy (3853348) Ahmed Own (6677990) Hanadi Al Hamad (12229412) Julie Decock (44558) Nehad M. Alajez (7397276) Omar Albagha (8977856) Rayaz A. Malik (7372649) Omar M. A. El-Agnaf (8809331) Abdelilah Arredouani (10914455) |
| author_role | author |
| dc.creator.none.fl_str_mv | Neyla S. Al-Akl (10914449) Olfa Khalifa (10914452) Georgios Ponirakis (803076) Aijaz Parray (290256) Marwan Ramadan (17499450) Shafi Khan (17499453) Mani Chandran (17499447) Raheem Ayadathil (14150124) Ahmed Elsotouhy (3853348) Ahmed Own (6677990) Hanadi Al Hamad (12229412) Julie Decock (44558) Nehad M. Alajez (7397276) Omar Albagha (8977856) Rayaz A. Malik (7372649) Omar M. A. El-Agnaf (8809331) Abdelilah Arredouani (10914455) |
| dc.date.none.fl_str_mv | 2024-02-13T09:00:00Z |
| dc.identifier.none.fl_str_mv | 10.3390/ijms25042247 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Untargeted_Metabolomic_Profiling_Reveals_Differentially_Expressed_Serum_Metabolites_and_Pathways_in_Type_2_Diabetes_Patients_with_and_without_Cognitive_Decline_A_Cross-Sectional_Study/26421616 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biomedical and clinical sciences Clinical sciences Medical biochemistry and metabolomics Neurosciences dementia mild cognitive impairment type 2 diabetes metabolomics diabetes-associated cognitive decline |
| dc.title.none.fl_str_mv | Untargeted Metabolomic Profiling Reveals Differentially Expressed Serum Metabolites and Pathways in Type 2 Diabetes Patients with and without Cognitive Decline: A Cross-Sectional Study |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">Diabetes is recognized as a risk factor for cognitive decline, but the underlying mechanisms remain elusive. We aimed to identify the metabolic pathways altered in diabetes-associated cognitive decline (DACD) using untargeted metabolomics. We conducted liquid chromatography–mass spectrometry-based untargeted metabolomics to profile serum metabolite levels in 100 patients with type 2 diabetes (T2D) (54 without and 46 with DACD). Multivariate statistical tools were used to identify the differentially expressed metabolites (DEMs), and enrichment and pathways analyses were used to identify the signaling pathways associated with the DEMs. The receiver operating characteristic (ROC) analysis was employed to assess the diagnostic accuracy of a set of metabolites. We identified twenty DEMs, seven up- and thirteen downregulated in the DACD vs. DM group. Chemometric analysis revealed distinct clustering between the two groups. Metabolite set enrichment analysis found significant enrichment in various metabolite sets, including galactose metabolism, arginine and unsaturated fatty acid biosynthesis, citrate cycle, fructose and mannose, alanine, aspartate, and glutamate metabolism. Pathway analysis identified six significantly altered pathways, including arginine and unsaturated fatty acid biosynthesis, and the metabolism of the citrate cycle, alanine, aspartate, glutamate, a-linolenic acid, and glycerophospholipids. Classifier models with AUC-ROC > 90% were developed using individual metabolites or a combination of individual metabolites and metabolite ratios. Our study provides evidence of perturbations in multiple metabolic pathways in patients with DACD. The distinct DEMs identified in this study hold promise as diagnostic biomarkers for DACD patients.</p><h2>Other Information</h2><p dir="ltr">Published in: International Journal of Molecular Sciences<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/10.3390/ijms25042247" target="_blank">https://dx.doi.org/10.3390/ijms25042247</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_3759b2450adafcba2591e59a496b2492 |
| identifier_str_mv | 10.3390/ijms25042247 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/26421616 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Untargeted Metabolomic Profiling Reveals Differentially Expressed Serum Metabolites and Pathways in Type 2 Diabetes Patients with and without Cognitive Decline: A Cross-Sectional StudyNeyla S. Al-Akl (10914449)Olfa Khalifa (10914452)Georgios Ponirakis (803076)Aijaz Parray (290256)Marwan Ramadan (17499450)Shafi Khan (17499453)Mani Chandran (17499447)Raheem Ayadathil (14150124)Ahmed Elsotouhy (3853348)Ahmed Own (6677990)Hanadi Al Hamad (12229412)Julie Decock (44558)Nehad M. Alajez (7397276)Omar Albagha (8977856)Rayaz A. Malik (7372649)Omar M. A. El-Agnaf (8809331)Abdelilah Arredouani (10914455)Biomedical and clinical sciencesClinical sciencesMedical biochemistry and metabolomicsNeurosciencesdementiamild cognitive impairmenttype 2 diabetesmetabolomicsdiabetes-associated cognitive decline<p dir="ltr">Diabetes is recognized as a risk factor for cognitive decline, but the underlying mechanisms remain elusive. We aimed to identify the metabolic pathways altered in diabetes-associated cognitive decline (DACD) using untargeted metabolomics. We conducted liquid chromatography–mass spectrometry-based untargeted metabolomics to profile serum metabolite levels in 100 patients with type 2 diabetes (T2D) (54 without and 46 with DACD). Multivariate statistical tools were used to identify the differentially expressed metabolites (DEMs), and enrichment and pathways analyses were used to identify the signaling pathways associated with the DEMs. The receiver operating characteristic (ROC) analysis was employed to assess the diagnostic accuracy of a set of metabolites. We identified twenty DEMs, seven up- and thirteen downregulated in the DACD vs. DM group. Chemometric analysis revealed distinct clustering between the two groups. Metabolite set enrichment analysis found significant enrichment in various metabolite sets, including galactose metabolism, arginine and unsaturated fatty acid biosynthesis, citrate cycle, fructose and mannose, alanine, aspartate, and glutamate metabolism. Pathway analysis identified six significantly altered pathways, including arginine and unsaturated fatty acid biosynthesis, and the metabolism of the citrate cycle, alanine, aspartate, glutamate, a-linolenic acid, and glycerophospholipids. Classifier models with AUC-ROC > 90% were developed using individual metabolites or a combination of individual metabolites and metabolite ratios. Our study provides evidence of perturbations in multiple metabolic pathways in patients with DACD. The distinct DEMs identified in this study hold promise as diagnostic biomarkers for DACD patients.</p><h2>Other Information</h2><p dir="ltr">Published in: International Journal of Molecular Sciences<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/10.3390/ijms25042247" target="_blank">https://dx.doi.org/10.3390/ijms25042247</a></p>2024-02-13T09:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.3390/ijms25042247https://figshare.com/articles/journal_contribution/Untargeted_Metabolomic_Profiling_Reveals_Differentially_Expressed_Serum_Metabolites_and_Pathways_in_Type_2_Diabetes_Patients_with_and_without_Cognitive_Decline_A_Cross-Sectional_Study/26421616CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/264216162024-02-13T09:00:00Z |
| spellingShingle | Untargeted Metabolomic Profiling Reveals Differentially Expressed Serum Metabolites and Pathways in Type 2 Diabetes Patients with and without Cognitive Decline: A Cross-Sectional Study Neyla S. Al-Akl (10914449) Biomedical and clinical sciences Clinical sciences Medical biochemistry and metabolomics Neurosciences dementia mild cognitive impairment type 2 diabetes metabolomics diabetes-associated cognitive decline |
| status_str | publishedVersion |
| title | Untargeted Metabolomic Profiling Reveals Differentially Expressed Serum Metabolites and Pathways in Type 2 Diabetes Patients with and without Cognitive Decline: A Cross-Sectional Study |
| title_full | Untargeted Metabolomic Profiling Reveals Differentially Expressed Serum Metabolites and Pathways in Type 2 Diabetes Patients with and without Cognitive Decline: A Cross-Sectional Study |
| title_fullStr | Untargeted Metabolomic Profiling Reveals Differentially Expressed Serum Metabolites and Pathways in Type 2 Diabetes Patients with and without Cognitive Decline: A Cross-Sectional Study |
| title_full_unstemmed | Untargeted Metabolomic Profiling Reveals Differentially Expressed Serum Metabolites and Pathways in Type 2 Diabetes Patients with and without Cognitive Decline: A Cross-Sectional Study |
| title_short | Untargeted Metabolomic Profiling Reveals Differentially Expressed Serum Metabolites and Pathways in Type 2 Diabetes Patients with and without Cognitive Decline: A Cross-Sectional Study |
| title_sort | Untargeted Metabolomic Profiling Reveals Differentially Expressed Serum Metabolites and Pathways in Type 2 Diabetes Patients with and without Cognitive Decline: A Cross-Sectional Study |
| topic | Biomedical and clinical sciences Clinical sciences Medical biochemistry and metabolomics Neurosciences dementia mild cognitive impairment type 2 diabetes metabolomics diabetes-associated cognitive decline |