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المؤلفMir, Fayaz Ahmad
المؤلفMall, Raghvendra
المؤلفUllah, Ehsan
المؤلفIskandarani, Ahmad
المؤلفCyprian, Farhan
المؤلفSamra, Tareq A.
المؤلفAlkasem, Meis
المؤلفAbdalhakam, Ibrahem
المؤلفFarooq, Faisal
المؤلفTaheri, Shahrad
المؤلفAbou-Samra, Abdul Badi
تاريخ الإتاحة2023-05-03T07:55:42Z
تاريخ النشر2023-03-29
اسم المنشورJournal of Translational Medicine
المعرّفhttp://dx.doi.org/10.1186/s12967-023-04074-x
الاقتباسMir, F. A., Mall, R., Ullah, E., Iskandarani, A., Cyprian, F., Samra, T. A., ... & Abou-Samra, A. B. (2023). An integrated multi-omic approach demonstrates distinct molecular signatures between human obesity with and without metabolic complications: a case–control study. Journal of Translational Medicine, 21(1), 1-13.
الرقم المعياري الدولي للكتاب1479-5876
معرّف المصادر الموحدhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85151207525&origin=inward
معرّف المصادر الموحدhttp://hdl.handle.net/10576/42264
الملخصObjectives: To examine the hypothesis that obesity complicated by the metabolic syndrome, compared to uncomplicated obesity, has distinct molecular signatures and metabolic pathways. Methods: 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. Results: 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. Conclusions: 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.
اللغةen
الناشرSpringer Nature
الموضوعmicroRNA
Multiomics
metabolic syndrome
العنوانAn integrated multi-omic approach demonstrates distinct molecular signatures between human obesity with and without metabolic complications: a case–control study
النوعArticle
الصفحات1-13
رقم العدد1
رقم المجلد21
ESSN1479-5876
dc.accessType Open Access


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