1.Pharmacogenomics of Drug Metabolizing Enzymes and Transporters:Relevance to Precision Medicine
Ahmed SHABBIR ; Zhou ZHAN ; Zhou JIE ; Chen SHU-QING
Genomics, Proteomics & Bioinformatics 2016;14(5):298-313
The interindividual genetic variations in drug metabolizing enzymes and transporters influence the efficacy and toxicity of numerous drugs. As a fundamental element in precision med-icine, pharmacogenomics, the study of responses of individuals to medication based on their genomic information, enables the evaluation of some specific genetic variants responsible for an individual’s particular drug response. In this article, we review the contributions of genetic polymorphisms to major individual variations in drug pharmacotherapy, focusing specifically on the pharmacoge-nomics of phase-I drug metabolizing enzymes and transporters. Substantial frequency differences in key variants of drug metabolizing enzymes and transporters, as well as their possible functional consequences, have also been discussed across geographic regions. The current effort illustrates the common presence of variability in drug responses among individuals and across all geographic regions. This information will aid health-care professionals in prescribing the most appropriate treatment aimed at achieving the best possible beneficial outcomes while avoiding unwanted effects for a particular patient.
2.Assessment of biochemical and antioxidative status in patients suffering from dengue fever.
Mahmood RASOOL ; Arif MALIK ; Khalid Mahmud KHAN ; Muhammad Saeed QURESHI ; Beenish SHABBIR ; Sara ZAHID ; Muhammad ASIF ; Abdul MANAN ; Sana RASHID ; Saima Rubab KHAN ; Hafiz Muhammad ARSALAN ; Rabail ALAM ; Mahwish AROOJ ; Mahmood Husain QAZI ; Adeel Gulzar Ahmed CHAUDHARY ; Adel Mohammed ABUZENADAH ; Mohammed Hussain AL-QAHTANI ; Sajjad KARIM
Journal of Huazhong University of Science and Technology (Medical Sciences) 2015;35(3):411-418
A multi-centred study was designed to collect dengue epidemiologic data from government and registered private hospitals/clinics and maintained archive of frozen specimens in bio-bank to be used for future dengue epidemic control program, and assess the epidemiology of dengue fever (DF) by evaluating biochemical and oxidative status of patients. ELISA IgM antibodies test was done to confirm DF. From August 2010 to December 2011, 101 confirmed blood samples of DF patients referred to pathology lab of Jinnah Hospital Lahore were subjected to the epidemiologic assessment by evaluating the biochemical and physiological indices and alterations of circulating antioxidants. Clinical features of DF patients and effect of fever on blood components and serum proteins of liver were recorded. The hospital stay in DF, dengue hemorrhagic fever (DHF) and dengue shock syndrome (DSS) showed significant difference. Significant increases in serum alanine amino transferase (ALT) (P=0.000), aspartate amino transferase (AST) (P=0.000), alkaline phosphatase (ALP) (P=0.000), malondialdehyde (MDA) along with significant decreases in total protein (TP) (P=0.000), reduced glutathione (GSH) (P=0.000), superoxide dismutase (SOD), catalase (CAT) (P=0.000), and sialic acid contents (P=0.016) were observed. A positive correlation existed between bound sialic acid levels, liver enzymes and circulating antioxidants (r=0.656, P=0.016). In the present study, alterations of circulating antioxidants in DF suggest that DF might be a metabolic response to an acute, self-limiting tropical viral infection, and a consequence of the viral inflammatory process.
Adult
;
Antioxidants
;
metabolism
;
Biomarkers
;
blood
;
China
;
Dengue
;
classification
;
diagnosis
;
metabolism
;
Diagnosis, Differential
;
Female
;
Humans
;
Immunoglobulin M
;
metabolism
;
Male
;
Middle Aged
;
Young Adult
4.SARS-CoV-2: Has artificial intelligence stood the test of time.
Mir Ibrahim SAJID ; Shaheer AHMED ; Usama WAQAR ; Javeria TARIQ ; Mohsin CHUNDRIGARH ; Samira Shabbir BALOUCH ; Sajid ABAIDULLAH
Chinese Medical Journal 2022;135(15):1792-1802
Artificial intelligence (AI) has proven time and time again to be a game-changer innovation in every walk of life, including medicine. Introduced by Dr. Gunn in 1976 to accurately diagnose acute abdominal pain and list potential differentials, AI has since come a long way. In particular, AI has been aiding in radiological diagnoses with good sensitivity and specificity by using machine learning algorithms. With the coronavirus disease 2019 pandemic, AI has proven to be more than just a tool to facilitate healthcare workers in decision making and limiting physician-patient contact during the pandemic. It has guided governments and key policymakers in formulating and implementing laws, such as lockdowns and travel restrictions, to curb the spread of this viral disease. This has been made possible by the use of social media to map severe acute respiratory syndrome coronavirus 2 hotspots, laying the basis of the "smart lockdown" strategy that has been adopted globally. However, these benefits might be accompanied with concerns regarding privacy and unconsented surveillance, necessitating authorities to develop sincere and ethical government-public relations.
Artificial Intelligence
;
COVID-19
;
Communicable Disease Control
;
Humans
;
Pandemics/prevention & control*
;
SARS-CoV-2