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Long Non-Coding RNAs (lncRNAs) in Cardiovascular Disease Complication of Type 2 Diabetes.
Ismail, Nurruzanna; Abdullah, Noraidatulakma; Abdul Murad, Nor Azian; Jamal, Rahman; Sulaiman, Siti Aishah.
Afiliação
  • Ismail N; UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Jalan Yaa'cob Latiff, Cheras, Kuala Lumpur 56000, Malaysia.
  • Abdullah N; UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Jalan Yaa'cob Latiff, Cheras, Kuala Lumpur 56000, Malaysia.
  • Abdul Murad NA; UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Jalan Yaa'cob Latiff, Cheras, Kuala Lumpur 56000, Malaysia.
  • Jamal R; UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Jalan Yaa'cob Latiff, Cheras, Kuala Lumpur 56000, Malaysia.
  • Sulaiman SA; UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Jalan Yaa'cob Latiff, Cheras, Kuala Lumpur 56000, Malaysia.
Diagnostics (Basel) ; 11(1)2021 Jan 19.
Article em En | MEDLINE | ID: mdl-33478141
The discovery of non-coding RNAs (ncRNAs) has opened a new paradigm to use ncRNAs as biomarkers to detect disease progression. Long non-coding RNAs (lncRNA) have garnered the most attention due to their specific cell-origin and their existence in biological fluids. Type 2 diabetes patients will develop cardiovascular disease (CVD) complications, and CVD remains the top risk factor for mortality. Understanding the lncRNA roles in T2D and CVD conditions will allow the future use of lncRNAs to detect CVD complications before the symptoms appear. This review aimed to discuss the roles of lncRNAs in T2D and CVD conditions and their diagnostic potential as molecular biomarkers for CVD complications in T2D.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Malásia País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Revista: Diagnostics (Basel) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Malásia País de publicação: Suíça