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Journal : The Indonesian Biomedical Journal

Expression of Plasma miRNA-133a is Significantly Lower in Acute Coronary Syndrome (ACS) than in Healthy/Non-ACS Subjects Rachmawati, Ermin; Sargowo, Djanggan; Saputra, Indra Wahyu; Riskiyah, Riskiyah; Handirosiyanto, Ikhwan; Hakim, Arief Rachman; Ismail, Mahrus; Tarsadi, Tarsadi; Maulana, Syafiq; Ahdi, Iwal Reza; Puspitasari, Alvina; Wardhani, Syanindita Puspa
The Indonesian Biomedical Journal Vol 16, No 5 (2024)
Publisher : The Prodia Education and Research Institute (PERI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18585/inabj.v16i5.3243

Abstract

BACKGROUND: The current biomarker diagnostic modality for acute coronary syndrome (ACS), cardiac troponin, has several limitations. Emerging studies showed that micro-RNA (miR)-133a was released from infarcted heart to circulation, yet the diagnostic value of miR-133a in ACS demonstrated a conflicting result. Therefore, this study was conducted to investigate the potency of plasma miR-133a as a biomarker candidate of ACS.METHODS: This was a case-controlled study, involving ACS and control subjects. The sociodemographic and clinical characteristics were assessed through medical records. A final of 39 ACS and 31 control subjects (consist of healthy and non-ACS subjects) passed the selection procedure by demonstrating a high purity of RNA. miR-133a from ACS and control subjects were detected by quantitative polymerase chain reaction (qPCR). Expression of miR-133a was evaluated for sensitivity and specificity as an ACS biomarker diagnostic using the receiver operating characteristic (ROC) curve.RESULTS: Plasma miR-133a expression was stably found in ACS subjects. The plasma miR-133a level was lower in ACS than in control subjects. miR-133a effectively distinguished ACS subjects from healthy subjects (AUC=0.911) and exhibited high diagnostic performance, with a sensitivity of 87.1% and specificity of 100% at a cut-off value of 44.035. In an extended model including both control subjects (healthy and non-ACS with comorbid conditions), miR-133a maintained diagnostic significance (AUC=0.874), showing sensitivity of 76.9% and specificity of 100% at a cut-off value of 11.69.CONCLUSION: Plasma miR-133a is significantly lower and effectively distinguishes ACS patients from both healthy individuals and non-ACS individuals with comorbid, with a cut-off value of 11.69. Therefore, plasma miR-133a is suggested to be a good candidate for diagnostic biomarkers of ACS.KEYWORDS: circulating miRNA, miRNA-133a, acute coronary syndrome, diagnostic biomarker
Co-Authors Abdul Hoyyi Afrianda, Charlina Retno Puteri Ahdi, Iwal Reza Alan Prahutama Aliansa, Wahyu Aljabar, Muhammad Isa Almuharrom, Fazar Ambarini , Shera Tri Aselina Pratidina Wrediningsih Asep Saepulrohman Baihaqi, Wiga Maulana Budi Warsito Budi Warsito Chiputra, Dhimas Wahyu Deden Ardiansyah Di Asih I Maruddani Dias Ayu Budi Utami, Dias Ayu Budi Djanggan Sargowo Dwi Agung Prasetyo, Dwi Agung Dwi Ispriyanti Dzikra, Fathiyyah Yolianda Endang Fatmawati Ermin Rachmawati Faadillah, Muhamad Nabil Fernandes Simangunsong, Fernandes Frengki, Muhammad Handirosiyanto, Ikhwan Hasbi Yasin Hasbi Yasin Herawati, Chania Putri Agustin Hermawan, Regita Cahyaningtyas Indratmoko, Daryll Alessandro Irma Damayanti Ismail, Mahrus Iut Tri Utami Jannah, Berliana Khomarudin Gilang Ramadhan Kosasih, Deny Poniman Lusi Agus Setiani Maspaitella, Leonardo Benito Maulana, Syafiq Moch. Abdul Mukid Murdahayu Makmur Nanda Eka Prasetya Navydien, Miliarni Deida Novaria, Rachmawati Nurramadhan, Fadli Olandina Cahyani P Palupi, Aisyah Anudya Pinareswati, Shafira Tri Pinggala , Waode Prasetya , Syalaizha Febtria Putri Prasetya, Nanda Eka Prastiawan, Andi Prastyadi Wibawa Rahayu Pratiwi, Yulita Dwi Puspitasari, Alvina Puspitasari, Rizki Dian Ramadhan, Khomarudin Gilang Ridho, Wahyu Anwar riskiyah, Riskiyah - Riyan Hadithya Rizal Firmansyah Saputra, Indra Wahyu Sinambela, Nadiyah Hafidah Sisca Novalia Subarkah, Pungkas Sugiastari, Yuanita Putri Sugito Sugito sukristyanto, Agus Suparti Suparti Syahrir Syahrir Tarsadi, Tarsadi Triastuti Wuryandari Ul Haq, Hasna Faridah Dhiya Utomo, Khesya Khusnul Fadhilah Vella Septia Renanda Wardhani, Syanindita Puspa Yeremia, Dennis Yuciana Wilandari Yundari, Yundari Yunita Pipiet Sugandhi Zulkarnain, Steven Agilo