Characterizing Circulating microRNA Signatures of Type 2 Diabetes Subtypes

被引:1
作者
Sulaiman, Fatima [1 ]
Khyriem, Costerwell [1 ]
Dsouza, Stafny [1 ]
Abdul, Fatima [1 ]
Alkhnbashi, Omer [2 ]
Faraji, Hanan [1 ]
Farooqi, Muhammad [3 ]
Al Awadi, Fatheya [4 ]
Hassanein, Mohammed [4 ]
Ahmed, Fayha [5 ]
Alsharhan, Mouza [5 ]
Tawfik, Abdel Rahman [6 ]
Khamis, Amar Hassan [6 ]
Bayoumi, Riad [1 ]
机构
[1] Mohammed Bin Rashid Univ Med & Hlth Sci, Coll Med, POB 505055, Dubai, U Arab Emirates
[2] Mohammed Bin Rashid Univ Med & Hlth Sci, Ctr Appl & Translat Genom, POB 505055, Dubai, U Arab Emirates
[3] Dubai Hlth, Dubai Diabet Ctr, POB 7272, Dubai, U Arab Emirates
[4] Dubai Hlth, Dubai Hosp, Endocrinol Dept, POB 7272, Dubai, U Arab Emirates
[5] Dubai Hlth, Dubai Hosp, Pathol Dept, POB 7272, Dubai, U Arab Emirates
[6] Mohammed Bin Rashid Univ Med & Hlth Sci, Hamdan Bin Mohammed Coll Dent Med, POB 505055, Dubai, U Arab Emirates
关键词
Type; 2; diabetes; circulating microRNA; T2D subtypes; pathophysiology; insulin resistance; SERUM MICRORNA; RISK-FACTORS; EXPRESSION; GLUCOSE; IDENTIFICATION; MELLITUS; BIOMARKERS; MIRNA;
D O I
10.3390/ijms26020637
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Type 2 diabetes (T2D) is a heterogeneous disease influenced by both genetic and environmental factors. Recent studies suggest that T2D subtypes may exhibit distinct gene expression profiles. In this study, we aimed to identify T2D cluster-specific miRNA expression signatures for the previously reported five clinical subtypes that characterize the underlying pathophysiology of long-standing T2D: severe insulin-resistant diabetes (SIRD), severe insulin-deficient diabetes (SIDD), mild age-related diabetes (MARD), mild obesity-related diabetes (MOD), and mild early-onset diabetes (MEOD). We analyzed the circulating microRNAs (miRNAs) in 45 subjects representing the five T2D clusters and 7 non-T2D healthy controls by single-end small RNA sequencing. Bioinformatic analyses identified a total of 430 known circulating miRNAs and 13 previously unreported novel miRNAs. Of these, 71 were upregulated and 37 were downregulated in either controls or individual clusters. Each T2D subtype was associated with a specific dysregulated miRNA profile, distinct from that of healthy controls. Specifically, 3 upregulated miRNAs were unique to SIRD, 1 to MARD, 9 to MOD, and 18 to MEOD. Among the downregulated miRNAs, 11 were specific to SIRD, 9 to SIDD, 2 to MARD, and 1 to MEOD. Our study confirms the heterogeneity of T2D, represented by distinguishable subtypes both clinically and epigenetically and highlights the potential of miRNAs as markers for distinguishing the pathophysiology of T2D subtypes.
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页数:20
相关论文
共 93 条
[1]   Expression of microRNAs 30, 451, 130, and 378 and its relationship to type 1 diabetes mellitus in Egyptian children [J].
Abbas, Mona Ahmed ;
Morsy, Mohamed A. ;
Rahman, Rania E. Abdel ;
Elkousy, Salah Mohamed ;
Abdul-Azim, Tayseer R. ;
Elsayed, Hanan Mostafa ;
Badr, Eman A. E. .
HUMAN GENE, 2023, 37
[2]   The potential role of miR-27a and miR-320a in metabolic syndrome in obese Egyptian females [J].
Abd El-Jawad, Amira Mohamed ;
Ibrahim, Iman Hassan ;
Zaki, Moushira Erfan ;
Elias, Tahany Ramzy ;
Rasheed, Wafaa Ibrahim ;
Amr, Khalda Said .
JOURNAL OF GENETIC ENGINEERING AND BIOTECHNOLOGY, 2022, 20 (01)
[3]   Novel subgroups of adult-onset diabetes and their association with outcomes: a data-driven cluster analysis of six variables [J].
Ahlqvist, Emma ;
Storm, Petter ;
Karajamaki, Annemari ;
Martinell, Mats ;
Dorkhan, Mozhgan ;
Carlsson, Annelie ;
Vikman, Petter ;
Prasad, Rashmi B. ;
Aly, Dina Mansour ;
Almgren, Peter ;
Wessman, Ylva ;
Shaat, Nael ;
Spegel, Peter ;
Mulder, Hindrik ;
Lindholm, Eero ;
Melander, Olle ;
Hansson, Ola ;
Malmqvist, Ulf ;
Lernmark, Ake ;
Lahti, Kaj ;
Forsen, Tom ;
Tuomi, Tiinamaija ;
Rosengren, Anders H. ;
Groop, Leif .
LANCET DIABETES & ENDOCRINOLOGY, 2018, 6 (05) :361-369
[4]  
Al Awadi F, 2020, Dubai Diabetes and Endocrinology Journal, V26, P164, DOI [10.1159/000512428, 10.1159/000512428, DOI 10.1159/000512428]
[5]  
Al-Sinani Sawsan, 2014, Oman Med J, V29, P51, DOI 10.5001/omj.2014.11
[6]   Genome-wide association analyses highlight etiological differences underlying newly defined subtypes of diabetes [J].
Aly, Dina Mansour ;
Dwivedi, Om Prakash ;
Prasad, Rashmi B. ;
Karajamaki, Annemari ;
Hjort, Rebecka ;
Thangam, Manonanthini ;
Akerlund, Mikael ;
Mahajan, Anubha ;
Udler, Miriam S. ;
Florez, Jose C. ;
McCarthy, Mark, I ;
Center, Regeneron Genetics ;
Brosnan, Julia ;
Melander, Olle ;
Carlsson, Sofia ;
Hansson, Ola ;
Tuomi, Tiinamaija ;
Groop, Leif ;
Ahlqvist, Emma .
NATURE GENETICS, 2021, 53 (11) :1534-1542
[7]   Novel subgroups of type 2 diabetes and their association with microvascular outcomes in an Asian Indian population: a data-driven cluster analysis: the INSPIRED study [J].
Anjana, Ranjit Mohan ;
Baskar, Viswanathan ;
Nair, Anand Thakarakkattil Narayanan ;
Jebarani, Saravanan ;
Siddiqui, Moneeza Kalhan ;
Pradeepa, Rajendra ;
Unnikrishnan, Ranjit ;
Palmer, Colin ;
Pearson, Ewan ;
Mohan, Viswanathan .
BMJ OPEN DIABETES RESEARCH & CARE, 2020, 8 (01)
[8]  
[Anonymous], 2015, DIABETES CARE, V38, pS8, DOI [10.2337/dc17-s005, 10.2337/dc15-S005]
[9]   Risk factors in patients with type 2 diabetes in Bengaluru: A retrospective study [J].
Aravinda, Jagadeesha .
WORLD JOURNAL OF DIABETES, 2019, 10 (04) :241-248
[10]   Etiologies underlying subtypes of long-standing type 2 diabetes [J].
Bayoumi, Riad ;
Farooqi, Muhammad ;
Alawadi, Fatheya ;
Hassanein, Mohamed ;
Osama, Aya ;
Mukhopadhyay, Debasmita ;
Abdul, Fatima ;
Sulaiman, Fatima ;
Dsouza, Stafny ;
Mulla, Fahad ;
Ahmed, Fayha ;
AlSharhan, Mouza ;
Khamis, Amar .
PLOS ONE, 2024, 19 (05)