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Abida, Eltaib L, Alhazmi BH, Alzahrani AR, Asdaq SMB, Ali A, Aldhafiri FJ, Alruwaili WT, Al-Hajeili M, Abdulkhaliq AA, Rabaan AA, Imran M. Long non-coding RNA HOTAIR: A biomarker and therapeutic target in urological tumors. Pathol Res Pract 2024; 262:155549. [PMID: 39173467 DOI: 10.1016/j.prp.2024.155549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2024] [Revised: 08/12/2024] [Accepted: 08/14/2024] [Indexed: 08/24/2024]
Abstract
Long non-coding RNAs (lncRNAs) significantly influence gene regulation across epigenetic, transcriptional, and post-transcriptional levels through their interactions with DNA, RNA, and proteins. There is growing evidence of lncRNAs' critical roles in the emergence and progression of various diseases, including urological tumors (UTs), such as cancers of the kidney, bladder, and prostate. Research increasingly links lncRNA dysregulation to diverse cellular processes like invasion, metastasis, apoptosis, and chromatin remodeling. Among these, HOTAIR stands out for its pivotal role in oncogenesis, impacting treatment resistance, cell migration, proliferation, survival, and genomic integrity. This review provides an overview of HOTAIR's functions, its identification, and its biological significance. Furthermore, it delves into HOTAIR's involvement in UTs, underlining its potential as a therapeutic target and biomarker for innovative approaches to treating these cancers.
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Affiliation(s)
- Abida
- Department of Pharmaceutical Chemistry, College of Pharmacy, Northern Border University, Rafha 91911, Saudi Arabia
| | - Lina Eltaib
- Department of Pharmaceutics, College of Pharmacy, Northern Border University, Rafha 91911, Saudi Arabia
| | - Bshayer Hmdan Alhazmi
- Department of Pharmacy, Northern Area Armed Forces Hospital, Hafer Al-batin 39745, Saudi Arabia
| | - Abdullah R Alzahrani
- Department of Pharmacology and Toxicology, Faculty of Medicine, Umm Al-Qura University, Al-Abidiyah, P.O. Box 13578, Makkah 21955, Saudi Arabia
| | | | - Abuzer Ali
- Department of Pharmacognosy, College of Pharmacy, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
| | | | - Wafaa T Alruwaili
- College of Pharmacy, Northern Border University, Rafha 91911, Saudi Arabia
| | - Marwan Al-Hajeili
- Department of Medicine, King Abdulaziz University, Jeddah 23624, Saudi Arabia
| | - Altaf A Abdulkhaliq
- Department of Biochemistry, Faculty of Medicine, Umm Al-Qura University, Makkah 21955, Saudi Arabia
| | - Ali A Rabaan
- Molecular Diagnostic Laboratory, Johns Hopkins Aramco Healthcare, Dhahran 31311, Saudi Arabia; College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia; Department of Public Health and Nutrition, The University of Haripur, Haripur 22610, Pakistan
| | - Mohd Imran
- Department of Pharmaceutical Chemistry, College of Pharmacy, Northern Border University, Rafha 91911, Saudi Arabia; Center for Health Research, Northern Border University, Arar, Saudi Arabia.
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Alharbi KS. Noncoding RNAs in hepatitis: Unraveling the apoptotic pathways. Pathol Res Pract 2024; 255:155170. [PMID: 38324964 DOI: 10.1016/j.prp.2024.155170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 01/22/2024] [Accepted: 01/24/2024] [Indexed: 02/09/2024]
Abstract
Hepatitis is a worldwide health issue that causes inflammation of the liver and is frequently brought on by viral infections, specifically those caused by the hepatitis B and C viruses. Although the pathophysiological causes of hepatitis are complex, recent research indicates that noncoding RNAs (ncRNAs) play a crucial role in regulating apoptosis, an essential process for maintaining liver homeostasis and advancing the illness. Noncoding RNAs have been linked to several biological processes, including apoptosis. These RNAs include microRNAs (miRNAs), long noncoding RNAs (lncRNAs), and circular RNAs (circRNAs). Distinct expression patterns characterising different stages of the disease have been discovered, indicating dysregulation of these non-coding RNAs in liver tissues infected with hepatitis. The complex interplay that exists between these noncoding RNAs and apoptotic effectors, including caspases and members of the Bcl-2 family, plays a role in the precarious equilibrium that regulates cell survival and death during hepatitis. The purpose of this review is to provide an overview of ncRNA-mediated apoptosis in hepatitis, as well as insights into possible therapeutic targets and diagnostic indicators.
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Affiliation(s)
- Khalid Saad Alharbi
- Department of Pharmacology and Toxicology, Unaizah College of Pharmacy, Qassim University, Qassim 51452, Saudi Arabia.
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Jia G, Ren C, Wang H, Fan C. Prediction of drug-drug interactions between roflumilast and CYP3A4/1A2 perpetrators using a physiologically-based pharmacokinetic (PBPK) approach. BMC Pharmacol Toxicol 2024; 25:4. [PMID: 38167223 PMCID: PMC10762902 DOI: 10.1186/s40360-023-00726-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Accepted: 12/12/2023] [Indexed: 01/05/2024] Open
Abstract
This study aimed to develop a physiologically-based pharmacokinetic (PBPK) model to predict changes in the pharmacokinetics (PK) and pharmacodynamics (PD, PDE4 inhibition) of roflumilast (ROF) and ROF N-oxide when co-administered with eight CYP3A4/1A2 perpetrators. The population PBPK model of ROF and ROF N-oxide has been successfully developed and validated based on the four clinical PK studies and five clinical drug-drug interactions (DDIs) studies. In PK simulations, every ratio of prediction to observation for PK parameters fell within the range 0.7 to 1.5. In DDI simulations, except for tow peak concentration ratios (Cmax) of ROF with rifampicin (prediction: 0.63 vs. observation: 0.19) and with cimetidine (prediction: 1.07 vs. observation: 1.85), the remaining predicted ratios closely matched the observed ratios. Additionally, the PBPK model suggested that co-administration with the three perpetrators (cimetidine, enoxacin, and fluconazole) may use with caution, with CYP3A4 strong inhibitor (ketoconazole and itraconazole) or with dual CYP3A41A2 inhibitor (fluvoxamine) may reduce to half-dosage or use with caution, while co-administration with CYP3A4 strong or moderate inducer (rifampicin, efavirenz) should avoid. Overall, the present PBPK model can provide recommendations for adjusting dosing regimens in the presence of DDIs.
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Affiliation(s)
- Guangwei Jia
- Department of pharmacy Liaocheng People's Hospital, 252000, Liaocheng, Shandong Province, China
| | - Congcong Ren
- Department of pharmacy Liaocheng People's Hospital, 252000, Liaocheng, Shandong Province, China
| | - Hongyan Wang
- Department of pharmacy Liaocheng People's Hospital, 252000, Liaocheng, Shandong Province, China
| | - Caixia Fan
- Center for Clinical Pharmacology Linyi People's Hospital, Wuhan Road and Wo Hu Shan Road, 276000, Linyi, Shandong Province, China.
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