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Journal : Pharmacy Reports

Molecular mechanism of glucocorticoid-induced hyperglycemia Sari, Destika Ambar; Samodra, Galih; Kusuma, Ikhwan Yuda
Pharmacy Reports Vol. 1 No. 1 (2021): Pharmacy Reports
Publisher : Indonesian Young Scientist Group and UPN Veteran Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (175.572 KB) | DOI: 10.51511/pr.1

Abstract

Glucocorticoids are widely used as strong anti-inflammatory and immunosuppressive drugs to treat various diseases. However, the use of glucocorticoids can cause several side effects, such as hyperglycemia. This review aims to discuss the effect of glucocorticoids on increasing glucose in molecular levels based on literature studies. A literature searching was carried out on the PubMed, Science Direct, and Google Scholar databases published in 2010-2020. Glucocorticoids can cause an increase in blood glucose levels by several mechanisms. In the liver, glucocorticoids increase endogenous plasma glucose and stimulate gluconeogenesis. Glucocorticoids increase the production of non-esterified fatty acids which affect the signal transduction of insulin receptor substrate-1 in skeletal muscle. In adipose, glucocorticoids increase lipolysis and visceral adiposity through increased transcription and expression of protein adipose triglyceride lipase and hormone-sensitive lipase. In pancreatic beta cells, glucocorticoids directly inhibit the beta cell response to glucose through the role of protein kinase B and protein kinase C. At the molecular level, glucocorticoids can cause hyperglycemia through mechanisms in the liver, skeletal muscle tissue, adipose tissue, and pancreatic beta cells.
Revolutionizing the fight against antimicrobial resistance with artificial intelligence Kusuma, Ikhwan Yuda
Pharmacy Reports Vol. 3 No. 1 (2023): Pharmacy Reports
Publisher : Indonesian Young Scientist Group and UPN Veteran Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51511/pr.53

Abstract

Antimicrobial resistance (AMR) is a major public health threat, responsible for millions of deaths annually. Current efforts to combat AMR include antibiotic stewardship programs, infection prevention and control measures, and the development of new antimicrobial agents. However, traditional laboratory techniques used to identify antibiotic-resistant genes are inadequate. Artificial intelligence (AI) has emerged as a promising tool to combat AMR, potentially facilitating rapid diagnosis, predicting antibiotic resistance patterns, and identifying new treatments. AI can analyze large amounts of data from various sources and identify patterns and correlations that humans may miss. However, there are potential challenges and risks associated with implementing AI in the fight against AMR, including ethical concerns and data quality issues.
Co-Authors Abely, Nastasya Anis Afifah, Maulina Nurul Afnida Dwi Lestari Afriza Pujiati Almas Amalul Fasha Alvin Ulinnuha Amalia, Najwa Nurul Amelia Damayanti Annima Alfi Fauqina Apriliansa, Elza Puspita Arrina Sabilahaq Awang Pardigantara Azizah Azizah Bella Aisya Fitri Cecep Darwis Muttaqin Destiannesvi, Anggie Desy Nawangsari Dian Pitaloka Priasmoro, Dian Pitaloka dina febrina DM, Peppy Oktaviani Elza Puspita Apriliansa Fajar Rinawati Fasha, Almas Amalul Fauziah , Fauziah Fauziah Fauziah Fina Rudiyanti Galih Samodra Galih Samodra Gita Fitriyani Halimatu Sa'diah Halimatu Sa’diah Hikmanti, Arlyana Hilmi, Nahla Habibah Ike Mardiati Agustin Irmawan Andri Izati, Fina Karunia K, Khamdiyah Indah Khaniva Khalilia Alazhar Khasanah, Khuswatun Khosyi, Nathania Elsa Kurniasih, Khamdiyah Indah Kusnandar Anggadiredja Lauale, Evangelina Natali Theresya Linda Sukiatno Mailatunnazza, Nova Maryanti, Nelly Misworo, Misworo Nadia Ramadhani Nafi'ah, Inti Kalun nawangsari, desi Nawangsari, Desy Nida Nuridayah Noryana Novia Wulandari Nuari, Doni Anshar Nufus, Ayatun Nur Islamiah Nurkholis, Fiqih NURLAELA NURLAELA Nurrahma, Alfiya Hana Peppy Octaviani Peppy Octaviani Peppy Octaviani Dian Megasari Prabandari, Rani Pratiwi, Amelia Candra Putri, Melisa Mareta Putri, Renanda Nabila Rani Prabandari Rani Prabandari Safitri, Cindy Ade Samodra, Galih Saputri, Abelia Sari, Destika Ambar Satyadewi, Putu Ratna Hari Septi Nurkhasanah Sita Nur Faradila Sita Sri Haryanti Sunarti Sunarti Sunarti Supriani, Supriani Suryo Ediyono Susanto, Kharisma Evelyne Eka Susilo Rini Tresnowati, Gulita Indah umi sangadah Veronica, Laila Wibawa, Navyzhah Aulia Aulia Putri Wilis Sukmaningtyas Yuli Yuli Maesaroh YUNI ASRI, YUNI Yutia Ihza Komala Yuyun Pujiarti