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Aim and Scope

National Journal of Medical and Health Sciences (NJMHS) is a multidisciplinary journal, published biannually under the Faculty of Medical and Health Sciences at Sargodha Medical College, University of Sargodha, Sargodha, Pakistan. It publishes original qualitative and quantitative research articles / review articles / case reports / short communications / systematic reviews / letter to the editors and audit reports related t... Read More

Current Issue



Volume 2, Issue 1, 2020

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  • Abstract

    A comprehensive body of evidence now exists concerning the protective effect of healthy eating habits and food choices against a number of chronic diseases particularly diabetes, cancer and stress. In the main body of the review, the factors that affect food choice decisions of university students in relation to healthy eating habits are studied. Determinants covered included; socio- demographic, breakfast skipping, availability of food, media advertisings, fast-food consumption, family choices, stress and poor meal patterns. The content of review showed that poor food choices are leading towards chronic diseases. The purpose of this review is to highlight the determinants affecting food choices and eating patterns of students by showing the association with chronic diseases and poor health status. Keywords: Food Choices, Meal Patterns, Diabetes, Cancer, Psychological Stress, Breakfast Consumption

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    Authors

    Shahnai Basharat, Syed Amir Gilani, Sanabil Anmol, Armeen Riaz, Fizza Ali Khan, Rimsha Akhter & Ameer Hamza

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  • Abstract

    Objective: In the last few decades, thyroid cancer incidence has continuously increased all over the world. This study was designed to profile differently expressed proteins (by SDS-PAGE) from sera of patients and analyze using bioinformatics tools. Material and Methods: In this study 30 serum samples were collected from thyroid cancer patients from Bolan Medical Complex Hospital (BMCH), Quetta. The protein extract was resolved by SDS-PAGE for protein separation in order to profile the proteins differentially expressed in sera of patients. Furthermore, these proteins were analyzed using bioinformatics tools to (i) predict the peptides produced by cutting the proteins, (ii) for the prediction of physiochemical properties and to predict the transmembrane domains in the proteins using ExPASy server (www.expasy.org/tools/). Results: Seven protein bands were differentially stained in sera of thyroid cancer patients comparing sera of healthy subjects. The protein bands of 15 kDa, 32 kDa, 37.5 kDa, 38 kDa, 49 kDa, 82 kDa and 90 kDa were observed which might correspond to Gal3, CK19, TPO, Ki67, Calcitonin, Thyrotropin receptor and E cadherin. Physiochemical properties were predicted using ProtParam and putative transmembrane domains were predicted by ProtScale bioinformatics tool. The transmembrane domains were found more in thyrotropin receptor, few or less in Gal3, Ki67 and E cadherin, moderate in CK19 and TPO while null in calcitonin. Conclusion: The present study provides some predictions on physiochemical properties, transmembrane domains and secondary structure of proteins differentially expressed in the sera of thyroid cancer patients which might be helpful in the discovery of potential biomarkers for thyroid cancer diagnosis. Keywords: Thyroid Cancer, SDS-PAGE, ExPASy, Bioinformatics tools

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    Mariam Khaliq, Zunera Tanveer, Muhammad Zahid Mustafa, Nargis Haider Kakar, Roheen Shakeel, Alia Ishaq, Roha Talat, Iqra Ayub, Sabeera Afzal1 & Fazila Razzaq

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  • Abstract

    Objective: Lung cancer (LC) is one of the leading causes of cancer related deaths worldwide. Among other reasons, one cause of LC deaths is the lack of early diagnosis. Serum biomarkers might be helpful in early detection of this cancer but there is no up to date specific biomarker reported to diagnose LC. Aim of the present study was to predict the tumor associated proteins as potential biomarkers for the early detection of Lung Cancer (LC). Methods: 50 serum samples from LC patients were tested and SDS-PAGE profiling was performed. Results: Two bands were differentially expressed by LC patients comparing control sera. A 41 kDa band was stained in 21% testing sera while 110 kDa band was stained with 17% testing sera of patients. Conclusion: These protein bands might serve as candidate potential biomarkers for early LC diagnosis after mass spectrometry confirmation with large scale testing sera. Keywords: Sera, Diagnostic biomarker, Lung cancer

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    Samina, Junaid Ahmed, Shabbir Ahmad, Roha Talat, Naseeb Ullah, Mohsin Ali, Iqra Ayub, Farah Sabeen Bugti & Mohammad Zahid Mustafa

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  • Abstract

    Objective: Cardiovascular disease (CVD) is a major and growing contributor to morbidity and mortality in Asian countries including Pakistan. This study aimed to investigate the variations in hematological indices in cardiac patients from Faisalabad, Pakistan. Methods: The study population consists of fifty subjects including healthy individuals as control group (n=20) and cardiac patients as test group (n=30). The blood samples of the study subjects were analyzed for hematological indices using an Automated Hematology Analyzer Sysmex KX-21. Results: On statistical analysis, significant variations in hematological indices were observed between the control group and test group individuals. Results showed that total white blood cells count, mean corpuscular volume, packed cell volume and platelets count were significantly (p<0.05) increased in test group individuals than in control group. Erythrocyte sedimentation rate (ESR) was also increased in test group individuals. It was also found that hemoglobin concentration and percent neutrophil count were decreased significantly (p<0.05) in test group as compared to control group. Conclusion: This study concluded that investigating hematological indices is a useful indicator for evaluating the health status of cardiac patients along with other specific markers for cardiovascular diseases. Keywords: Cardiovascular disease, Hemoglobin, White Blood Cells Count, ESR

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    Authors

    Khadija-Tul-Kubbra, Zahed Mahmood, Naveed Munir, Muhammad Qamar Bilal, Iqra Khalid, Tahira Batool & Muhammad Jahangeer