Structure based screening and molecular docking with dynamic simulation of natural secondary metabolites to target RNA-dependent RNA polymerase of five different retroviruses.

Viral diseases pose a serious global health threat due to their rapid transmission and widespread impact. The RNA-dependent RNA polymerase (RdRp) participates in the synthesis, transcription, and replication of viral RNA in host. The current study investigates the antiviral potential of secondary metabolites particularly those derived from bacteria, fungi, and plants to develop novel medicines. Using a virtual screening approach that combines molecular docking and molecular dynamics (MD) simulations, we aimed to discover compounds with strong interactions with RdRp of five different retroviruses. The top five compounds were selected for each viral RdRp based on their docking scores, binding patterns, molecular interactions, and drug-likeness properties. The molecular docking study uncovered several metabolites with antiviral activity against RdRp. For instance, cytochalasin Z8 had the lowest docking score of -8.9 (kcal/mol) against RdRp of SARS-CoV-2, aspulvinone D (-9.2 kcal/mol) against HIV-1, talaromyolide D (-9.9 kcal/mol) for hepatitis C, aspulvinone D (-9.9 kcal/mol) against Ebola and talaromyolide D also maintained the lowest docking score of -9.2 kcal/mol against RdRp enzyme of dengue virus. These compounds showed remarkable antiviral potential comparable to standard drug (remdesivir -7.4 kcal/mol) approved to target RdRp and possess no significant toxicity. The molecular dynamics simulation confirmed that the best selected ligands were firmly bound to their respective target proteins for a simulation time of 200 ns. The identified lead compounds possess distinctive pharmacological characteristics, making them potential candidates for repurposing as antiviral drugs against SARS-CoV-2. Further experimental evaluation and investigation are recommended to ascertain their efficacy and potential.

Choosing the right equation for calculating indirect LDL-Cholesterol (LDL-C) in adult Pakistani population: Evaluation of seven equations using big data analytics.

Objective: Cardiovascular diseases (CVDs) are a leading cause of mortality worldwide. Low density lipoprotein cholesterol (LDL-C) contributes to the atherogenic process. However, direct LDL-C (d-LDL) has rarely been estimated by the gold standard method because it is cumbersome and expensive. We aim to evaluate calculated low density lipoprotein (LDL-c) by various equations with reference to directly measured LDL-C in the Pakistani adult population as a cost-effective alternative. Methods: We retrospectively evaluated the validity of seven equations for estimating calculated LDL-C by computing correlation coefficients (r) and Bland Altman plots to assess agreement (mean %) for (d-LDL) and calculated (LDL-c) on all seven equations. Statistical analysis was performed in Stata Statistical Software: Release 17, College Station, TX: StataCorp LLC. Results: We analyzed 247082 direct assays of lipid profiles of adults aged ≥18 years. The mean LDL-C levels computed on Friedewald, de Cordova, Chen, Hattori, Vujovic, Teerakanchana, Sampson equations were 106.8 ± 31.4, 103.7 ± 25.0, 108.6 ± 28.2, 100.1 ± 29.5, 115.2 ± 31.2, 113.1 ± 28.3 and 110.3 ± 30.6 respectively. Friedewald and Hattori equations correlated strongly with direct LDL-C (r = 0.937) for each followed by Sampson (r = 0.935) and Vujovic (r = 0.931). However, the median bias was least for the Friedwald equation (-1.6) compared to the other equations. Conclusion: In contrast to the global literature advocating for the use of newer equations, although the conventional and widely utilized Friedewald equation remains the best alternative for calculated LDL-C estimation in adult Pakistani population.

Harnessing the Power of Big Data Analytics-Estimation of Reference Intervals for Neonatal Serum TSH in Pakistan Using RefineR Algorithm.

OBJECTIVE: To estimate the population-specific reference intervals (RIs) for neonatal thyroid stimulating hormone (TSH) in Pakistani neonates, utilising the refineR algorithm. STUDY DESIGN: Observational study. Place and Duration of the Study: Department of Pathology and Laboratory Medicine, The Aga Khan University Hospital, Karachi, Pakistan, from 17th May to 30th November 2023. METHODOLOGY: A data mining analysis was conducted on serum TSH results of neonates (≤1 month) over a period of six years, following approval from the Institutional Ethical Review Committee. Two subgroups were assessed based on the age as 0 - 5 days and 6 - 30 days. The refineR algorithm was implemented using refineR package (version 1.0.0), ensuring accurate analysis and insights. RESULTS: A total of non-duplicate 82,299 neonatal serum TSH tests were retrieved, including 70,788 (88%) aged 0 - 5 days and 11,511 (12%) aged ranging from 6 - 30 days. The estimated RI was from 0.67 µIU/mL (90% CI 0.641 - 0.72) to 15.0 µIU/mL (90% CI 13.2 - 17.3) for the first age group and 0.65 µIU/mL (90% CI 0.6 - 0.84) to 8.6 µIU/mL (90% CI 8.05 - 9.71) for the second age group. CONCLUSION: Reference intervals for neonatal serum TSH of the Pakistani population were estimated, considering the genetic differences of this demographic in comparison to the Western population. Results aligned with global literature, validating the refineR indirect approach's applicability. KEY WORDS: Reference intervals, Neonatal, Thyroid stimulating hormone, RefineR algorithm, Big data, Pakistan.

Clinico-Biochemical Spectrum of Pakistani Patients with Glutaric Aciduria Type 1 (GA1): Experience from a Specialised Biochemical Genetics Laboratory in Pakistan.

OBJECTIVE: To evaluate the clinical, radiological, and biochemical features of glutaric aciduria Type 1 (GA1) patients identified through urine organic acid testing at a biochemical genetics laboratory (BGL) in Pakistan. STUDY DESIGN: Observational study. Place and Duration of the Study: Department of Pathology and Laboratory Medicine, The Aga Khan University Hospital, Karachi, Pakistan, from January 2013 to December 2022. METHODOLOGY: Medical charts and urine organic acid (UOA) chromatograms of the patients presenting at the BGL from January 2013 to December 2022 were reviewed. Brain imaging was obtained where available. Variables were noted as per the objective and descriptive statistics were obtained. RESULTS: GA1 was found in 64 (0.4%) patients out of a total of 16,094 UOA requests for high-risk screening cases. The age of diagnosis ranged between one month and three years. The brain MRI findings revealed characteristic abnormalities such as cerebral atrophy, expanded CSF spaces, white matter abnormalities, and a distinct bat wings appearance, in cohesion with the results of biochemical testing. CONCLUSION: Sixty-four cases of GA1 from a single centre indicate a high frequency of the disorder in Pakistan. Late diagnosis emphasises the need for increased clinical awareness and preferably newborn screening to ensure optimal outcomes. KEY WORDS: Glutaric aciduria Type 1 (GA1), Brain imaging, UOA analysis, Glutaryl-CoA dehydrogenase (GCDH), Pakistan.

Artificial Intelligence - Perception of Clinical Laboratories' Technical Staff a Nationwide Multicentre Survey in Pakistan.

Introduction: As Artificial Intelligence (AI) technology continues to assimilate into various industries, there is a huge scope in the healthcare industry specifically in clinical laboratories. The perspective of the laboratory professionals can give valuable insight on the ideal path to take for AI implementation. Methods: The study utilized a cross-sectional survey design and was conducted at the section of Chemical Pathology, Department of Pathology and Laboratory Medicine, the Aga Khan University (AKU), Karachi, Pakistan in collaboration with Consultant Pathologists of 9 clinical laboratories associated with teaching hospitals across Pakistan from October-November 2023. The survey was for a duration of 2 weeks and was circulated to all working laboratory technical staff after informed consent. Results: A total of 351 responses were received, of which 342 (male=146, female=196) responses were recorded after exclusion. Respondents ranged from technologists, faculty, residents, and coordinators, and were from different sections (chemical pathology, microbiology, haematology, histopathology, POCT). Out of the total 312 (91.2%) of respondents stated that they were at least somewhat familiar with AI technology. Experts in AI were only 2.0% (n=7) of all respondents, but 90% (n=6) of these were < 30 years old. 76.3% (n=261) of the respondents felt the need to implement more AI technology in the laboratories, with time saving (26.1%) and improving performances of tests (17.7%) cited to be the greatest benefits of AI. Security concerns (n=144) and a fear of decreasing personal touch (n=143) were the main concerns of the respondents while the younger employees had an increased fear of losing their jobs. 76.3% were in favour of an increase in AI usage in the laboratories. Conclusion: This study highlights a favourable perspective among laboratory professionals, acknowledging the potential of AI to enhance both the efficiency and quality of laboratory practices. However, it underscores the importance of addressing their concerns in the thoughtful implementation of this emerging technology.

Network Pharmacology and Experimental Validation to Explore the Potential Mechanism of Nigella sativa for the Treatment of Breast Cancer.

Breast cancer is a prevalent and potentially life-threatening disease that affects women worldwide. Natural products have gained attention as potential anticancer agents due to their fewer side effects, low toxicity, and cost effectiveness compared to traditional chemotherapy drugs. In the current study, the network pharmacology approach was used following a molecular docking study to evaluate the therapeutic potential of N. sativa-derived phytochemicals against breast cancer. Specifically, the study aimed to identify potential anticancer agents targeting key proteins implicated in breast cancer progression. Five proteins (i.e., EGFR, MAPK3, ESR1, MAPK1, and PTGS2) associated with breast cancer were selected as receptor proteins. Fourteen phytochemicals from N. sativa were prioritized based on drug-likeness (DL) and oral bioavailability (OB) parameters (with criteria set at DL > 0.18 and OB > 30%, respectively). Subsequent analysis of gene targets identified 283 overlapping genes primarily related to breast cancer pathogenesis. Ten hub genes were identified through topological analysis based on their significance in the KEGG pathway and GO annotations. Molecular docking revealed strong binding affinities between folic acid, betulinic acid, stigmasterol, and selected receptor proteins. These phytochemicals also demonstrated druggability potential. In vitro experiments in the MDA-MB-231 breast cancer cell line revealed that betulinic acid and stigmasterol significantly reduced cell viability after 24 h of treatment, confirming their anticancer activity. Furthermore, in vivo evaluation using a DMBA-induced rat model showed that betulinic acid and stigmasterol contributed to the significant recovery of cancer markers. This study aimed to explore the mechanisms underlying the anticancer potential of N. sativa phytochemicals against breast cancer, with the ultimate goal of identifying novel therapeutic candidates for future drug development. Overall, these results highlight betulinic acid and stigmasterol as promising candidates to develop novel anticancer agents against breast cancer. The comprehensive approach of this study, which integrates network pharmacology and molecular docking study and its experimental validation, strengthens the evidence supporting the therapeutic benefits of N. sativa-derived phytochemicals in breast cancer treatment, making them promising candidates for the development of novel anticancer agents against breast cancer.

Spurious Hyperphosphatemia in a Patient with Chronic Kidney Disease - a Rare Case of Alteplase Contamination.

Spurious hyperphosphatemia, a rare occurrence, typically arises from substances in a patient's blood interfering with the colorimetric method for serum phosphate measurement. We present a case of factitious hyperphosphatemia caused by alteplase-contaminated blood samples in an 88-year-old CKD patient on hemodialysis, leading to misleadingly high phosphorus levels. Thorough investigations ruled out other etiologies, highlighting the necessity of stringent adherence to blood collection protocols to prevent sample contamination and avert erroneous laboratory results. This unique cause of hyperphosphatemia should be considered in the differential diagnosis when encountering unexplained elevations in phosphorus levels, particularly in the context of normal blood calcium levels.

Reporting Practices of Serum Protein Electrophoresis in Pakistan - a Multicenter Survey.

BACKGROUND: Serum Protein Electrophoresis (SPE) is crucial for the diagnosis and follow-up of monoclonal gammopathy (MG), as it helps to separate and identify these paraproteins. Currently, Pakistan lacks standardized guidelines for SPE reporting and analytical performance. This survey aims to analyze reporting variations from Consultant Chemical Pathologists in Pakistani laboratories. METHODS: This cross-sectional survey was conducted by the section of Chemical Pathology, Department of Pathology and Laboratory Medicine, at Aga Khan University Hospital, Karachi. A previously validated and published tool was used with some modifications to assess analytical techniques, reporting patterns, and interpretations provided with SPE by different laboratories. Frequency and percentages were calculated for each response and descriptive results were also evaluated. Differences between laboratories were also assessed qualitatively. RESULTS: Out of the eight laboratories contacted, seven participated in the survey, yielding a response rate of 87.5%. Immunofixation Electrophoresis (IFE) was used by all labs for serum immunotyping. All labs reported a new small abnormal band in patients with no known monoclonal gammopathy or with a known M-protein. Variations were found in terminologies used to label paraprotein, terminologies used to report normal and pathological SPE patterns, electrophoretic technique, methods for quantifying paraprotein in the gamma region on SPE and for albumin quantification. Similarly, the number of decimal places reported, reporting of multiple monoclonal proteins and small paraprotein in the beta region or monoclonal proteins less than 1 g/L, approach for screening, number of fractions reported in gamma region and reporting of interferences were also not standardized and var-iations were noticed. CONCLUSIONS: Our survey highlighted variations in practices of SPE reporting. These differences in laboratory practices could result in inconsistent test results, which could adversely affect patient care.

Developing and piloting an online course on osteoporosis using a multidisciplinary multi-institute approach- a cross-sectional qualitative study.

INTRODUCTION: Postgraduate medical trainees (PGs) in developing nations face various educational hurdles due to limited access to quality resources and training facilities. This study aimed to assess the effectiveness of e-learning, particularly Massive Open Online Courses (MOOCs), within postgraduate medical education. It involved the development of a customized online course focused on osteoporosis for PGs and an examination of their perspectives and preferences concerning online learning methods like Virtual Learning Environment (VLE) platforms. METHODS: The study was conducted from January 2018 to December 2020. A multi-institutional, multidisciplinary team was assembled to design an osteoporosis course on the VLE platform. PGs (n = 9) from diverse disciplines and institutions were selected with informed consent. Focus group discussions (FGDs) among these PGs identified their preferences for the online course, which subsequently guided the development of the MOOC. The modular MOOC comprised recorded micro-lectures, flashcards, videos, case challenges, and expert interviews. The educational impact of the VLE was assessed using pre- and post-module tests among the participants, and their perceptions of the PGs and course facilitators were gathered via an online survey. RESULTS: The study identified the involvement of PGs in the course design process as beneficial, as it allowed for content customization and boosted their motivation for peer-to-peer learning. During the FGDs, PGs expressed a strong preference for flexible learning formats, particularly short downloadable presentations, and micro-lectures. They also identified challenges related to technology, institutional support, and internet connectivity. In the subsequently customized MOOC course, 66% of PGs (n = 6) attempted the pre-test, achieving a mean score of 43.8%. Following the VLE module, all PGs (n = 9) successfully passed the end-of-module test, averaging a score of 96%, highlighting its impact on learning. The majority (n = 8, 88.9%) agreed that the course content could be applied in clinical practice, and 66.7% (n = 6) expressed extreme satisfaction with the learning objectives and content. Participants favoured end-of-module assessments and the use of best-choice questions for evaluation. CONCLUSION: This study highlights the importance of virtual learning, particularly MOOCs, in addressing the educational challenges faced by developing nations. It emphasizes the need for tailored online courses that cater to the preferences and requirements of PGs. The findings suggest that MOOCs can foster collaboration, networking, and opportunities for professional development, and interdisciplinary collaboration among faculty members can be a key strength in course development. This research provides valuable insights for educators, institutions, and e-learning developers seeking to enhance their teaching methodologies and establish accessible educational environments in the digital age.

Insights from semi-structured interviews on integrating artificial intelligence in clinical chemistry laboratory practices.

BACKGROUND: Artificial intelligence (AI) is gradually transforming the practises of healthcare providers. Over the last two decades, the advent of AI into numerous aspects of pathology has opened transformative possibilities in how we practise laboratory medicine. Objectives of this study were to explore how AI could impact the clinical practices of professionals working in Clinical Chemistry laboratories, while also identifying effective strategies in medical education to facilitate the required changes. METHODS: From March to August 2022, an exploratory qualitative study was conducted at the Section of Clinical Chemistry, Department of Pathology and Laboratory Medicine, Aga Khan University, Karachi, Pakistan, in collaboration with Keele University, Newcastle, United Kingdom. Semi-structured interviews were conducted to collect information from diverse group of professionals working in Clinical Chemistry laboratories. All interviews were audio recorded and transcribed verbatim. They were asked what changes AI would involve in the laboratory, what resources would be necessary, and how medical education would assist them in adapting to the change. A content analysis was conducted, resulting in the development of codes and themes based on the analyzed data. RESULTS: The interviews were analysed to identify three primary themes: perspectives and considerations for AI adoption, educational and curriculum adjustments, and implementation techniques. Although the use of diagnostic algorithms is currently limited in Pakistani Clinical Chemistry laboratories, the application of AI is expanding. All thirteen participants stated their reasons for being hesitant to use AI. Participants stressed the importance of critical aspects for effective AI deployment, the need of a collaborative integrative approach, and the need for constant horizon scanning to keep up with AI developments. CONCLUSIONS: Three primary themes related to AI adoption were identified: perspectives and considerations, educational and curriculum adjustments, and implementation techniques. The study's findings give a sound foundation for making suggestions to clinical laboratories, scientific bodies, and national and international Clinical Chemistry and laboratory medicine organisations on how to manage pathologists' shifting practises because of AI.

Sequence variants in the BTD underlying biotinidase deficiency in families of Pakistani origin.

BACKGROUND: Biotinidase deficiency (BTD) is a rare autosomal recessive metabolic disease, which develops neurological symptoms because of the impaired biotin recycling. Pathogenic mutations on BTD gene cause BTD deficiency. The clinical features and mutation analysis of Pakistani children with BTD deficiency have rarely been described. Herein, for the first time, we report the clinical features, BTD gene mutations and biochemical analysis of seven symptomatic children with BTD deficiency from Pakistan. METHODS: Seven suspected BTD-deficient patients who presented abnormal organic acid profiles and clinical features were subjected to Sanger sequencing to identify pathogenic mutations in the BTD gene. The results were analyzed by Mutation Surveyor Software. RESULTS: All seven patients exhibited common biotinidase deficiency symptoms including hypotonia, developmental delay and seizures. Biochemical analysis shows marked excretion of 3-hydroxy isovalerate in all cases, followed by 3-hydroxy propionate and methyl citrate. Sanger sequencing revealed one frame-shift mutation, c.98_104delinsTCC (p.Cys33Phefs), and two missense mutations, c.1612C>A (p.Arg538Ser) and c.1330G>C (p.Asp444His). All mutations were in the homozygous state and classified as pathogenic in published studies and mutation databases. CONCLUSIONS: This study has validated the BTD variants as the underlying cause of biotinidase deficiency in which molecular testing of BTD is supported by urinary organic acid analysis and clinical diagnosis. Secondly, the strength of the local availability of this test in Pakistan will paved the way for the neonatal screening of biotinidase deficiency.

Exploring the Potential of Plant Bioactive Compounds against Male Infertility: An In Silico and In Vivo Study.

Infertility is a well-recognized multifactorial problem affecting the majority of people who struggle with infertility issues. In recent times, among infertility cases, the male factor has acquired importance, and now it contributes to approximately half of the infertility cases because of different abnormalities. In the current study, we used natural phytochemicals as potential drug-lead compounds to target different receptor proteins that are involved in the onset of male infertility. A set of 210 plant phytochemicals were docked counter to active site residues of sex hormone-binding globulin, a disintegrin and metalloproteinase 17, and DNase I as receptor proteins. On the basis of binding scores and molecular dynamics simulation, the phytochemicals tricin, quercetin, malvidin, rhamnetin, isorhamnetin, gallic acid, kaempferol, esculin, robinetin, and okanin were found to be the potential drug candidates to treat male infertility. Molecular dynamics simulation showed tricin as a strong inhibitor of all selected receptor proteins because the ligand-protein complexes remained stabilized during the entire simulation time of 100 ns. Further, an in vivo study was designed to evaluate the effect of tricin in male rats with nicotine-induced infertility. It was explored that a high dose of tricin significantly reduced the levels of alanine transaminase, aspartate transaminase, urea, creatinine, cholesterol, triglyceride, and low-density lipoprotein and raised the level of high-density lipoprotein in intoxicated male rats. A high dose of tricin also increased the reproductive hormones (i.e., testosterone, luteinizing hormone, follicle-stimulating hormone, and prolactin) and reduced the level of DHEA-SO4. The phytochemical (tricin, 10 mg/kg body weight) also showed significant improvement in the histo-architecture after nicotine intoxication in rats. From the current study, it is concluded that the phytochemical tricin could serve as a potential drug candidate to cure male infertility.

Assessing the knowledge, attitude and practice of osteoporosis among Pakistani women: A national social-media based survey.

BACKGROUND: There are numerous risk factors for osteoporosis and understanding and recognizing these risk factors is critical when deciding whether to take preventive measures. It is critical to reduce the healthcare expenditure burden of the Pakistani population by raising awareness and implementing osteoporosis-preventable measures. This survey aims to assess the knowledge, attitudes, and practices (KAP) of Pakistani women as well as their misconceptions about osteoporosis. METHODS: A cross-sectional survey was conducted from August 2021 to January 2022 by the Bone & Mineral Disease research group at Section of Chemical Pathology, Department of Pathology and Laboratory Medicine, Aga Khan University, Karachi, with exemption from the ethical review committee. Using snowball sampling, a validated Osteoporosis Prevention and Awareness Tool (OPAAT) was disseminated online via social media. With informed consent, 400 Pakistani women aged ≥ 18 years were included in the study. SPSS Statistics version 25.0 was used for data analysis. Chi-square test for association and Fisher-exact test were applied, and significance level was α<0.05. RESULTS: Based on the OPAAT scores of all (n = 400) participants, 22% (n = 88) had low knowledge, 44% (n = 176) had average knowledge, while 34% (n = 136) had good knowledge of osteoporosis. The most common misconceptions were about age-related risk, presentation of symptoms, radiation risk, associated risk factors like tooth loss, osteoarthritis, and knowledge about predictors of bone health. CONCLUSION: Adult Pakistani women have a fair understanding of osteoporosis, but the OPAAT tool clarifies some common misconceptions. There is a need to develop educational strategies to increase the knowledge of osteoporosis among Pakistani adults and to promote a bone-healthy lifestyle.

Factors Associated With Awareness Of Literate Mothers About Newborn Screening: A Cross-Sectional Study From A Low-Middle-Income Country.

Objectives: To explore the awarenesslevel of literate mothersregarding newborn screening programmes, and to evaluate the associated factors. METHODS: The descriptive, cross-sectional study was conducted at the Section of Chemical Pathology, Department of Pathology andLaboratoryMedicine,AgaKhanUniversity,Karachi,fromJanuary toSeptember 2021, andcomprisedmothers aged 18 years or more. Data was collected using a structured questionnaire about newborn screening, and the subjects were compared in terms of age, residential background, education and parity. Data was analysed using SPSS 23. RESULTS: Of the 1016 responses, 896(88.2%) were analysed. The mean age of the sample was 37.7±10.87 years. There were 470(52.4%) mothers aged 31-45 years, 859(95.87%) were from urban areas, 751(84%) had a graduate degree, 652(72.7%) weremultiparous andhad824(91.9%)hadhealthy children.Overall, 386 (43%)mothershadawarenessofnewbornscreening programmes. The main factors associated with awareness were age, education, primiparity, having healthy children, and province ofresidencebeing Sindh andPunjab(p<0.05),while the urban-ruraldividedwas not a significantfactor(p=0.737). Cost of healthcare 417(46.5%) and lack of awareness among physicians 356(39.7%) were identified asthe main challenges in establishing newborn screening servicesin the country. CONCLUSIONS: The awareness among mothers about new born screening programmes was generally low among the subjects studied.

Underlying Mechanisms of Bergenia spp. to Treat Hepatocellular Carcinoma Using an Integrated Network Pharmacology and Molecular Docking Approach.

Hepatocellular carcinoma (HCC) is the fifth most common and fatal cancer reported, representing 72.5% of malignancies around the world. The majority of HCC incidents have been associated with infections caused by hepatitis B and C viruses. Many first- and second-line conventional drugs, e.g., sorafenib, cabozantinib, or ramucirumab, have been used for the management of HCC. Despite different combinational therapies, there are still no defined biomarkers for an early stage diagnosis of HCC. The current study evaluated the potential of Bergenia stracheyi, Bergenia ciliata, Bergenia pacumbis, and Bergenia purpurascens, which belong to the family Saxifragaceae, to treat HCC using an integrated network pharmacology and molecular docking approach. Four active phytochemicals were selected based on oral bioavailability (OB) and drug likeness (DL) parameters. The criteria of phytochemical selection were set to OB > 30% and DL > 0.18. Similarly, the gene targets related to Bergenia spp. and the genes related to HCC were retrieved from different databases. The integration of these genes revealed 98 most common overlapping genes, which were mainly interrelated with HCC pathogenesis. Ultimately, the 98 Bergenia-HCC associated genes were used for protein-protein interaction (PPI), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, and Gene Ontology (GO) enrichment analyses. Finally, the topological analysis revealed the top ten hub genes with maximum degree rank. From the top ten genes, STAT3, MAPK3, and SRC were selected due to their involvement in GO annotation and KEGG pathway. To confirm the network pharmacology results, molecular docking analysis was performed to target STAT3, MAPK3, and SRC receptor proteins. The phytochemical (+)-catechin 3-gallate exhibited a maximum binding score and strong residue interactions with the active amino acids of MAPK3-binding pockets (S-score: -10.2 kcal/mol), SRC (S-score: -8.9 kcal/mol), and STAT3 (S-score: -8.9 kcal/mol) as receptor proteins. (+)-Catechin 3-gallate and ß-sitosterol induced a significant reduction in cell viability in HepG2 after 24 h of treatment in a dose-dependent manner. The results of this study explore the potential of (+)-catechin 3-gallate and ß-sitosterol, which can be used in the future as potential drug candidates to suppress HCC.

Indirect Reference Intervals of Serum Calcium in Pakistani Children Using KOSMIC, Bhattacharya, and Hoffman Approach.

BACKGROUND: Reference intervals (RIs) of serum calcium vary based on age, population demographics, and methods of assessment. However, conventional approaches to establish serum calcium (Ca)RIs pose ethical and practical challenges, especially in the pediatric population. Hence, the use of indirect approaches is beneficial. This study was carried out to estimate the RIs of serum Ca using three indirect approaches in the pediatric and adolescent population of Pakistan. METHODS: Data mining laboratory information systems, for serum Ca results from 2013 - 2021 was done on a target population ranging from birth to 18 years of age. The population was grouped into three categories based on age (birth - 1 year, 2 - 4 years, and 5 - 18 years), as defined previously by Tahmasebi et al. in the CALIPER cohort. Pre-validated indirect algorithms, 'KOSMIC', Bhattacharya, and Hoffman, were used for analyzing the RIs. RESULTS: A total of non-duplicate 40,914 serum Ca tests were retrieved over a period of 6 years, including 38.7% (n = 15,830) from birth - 1 year, 16.3% (n = 6,641) from > 1 - 4 years, and 45.2% (n = 18443) from > 4 - 18 years respectively. The three methods revealed comparable performance with the direct RIs reported by Tahmasebi et al. in the CALIPER cohort. Keeping a stringent total allowable error of 1 mg/dl for Serum Ca as given by Clinical Laboratory Improvement Amendments (CLIA) the KOSMIC method outperformed the other two when compared to Tahmasebi, Houman, et al. Conclusions: The study advocates the use of the indirect approach for calculating RIs for serum calcium in the pediatric population, especially to aid clinical decision making in a low resource setting, due to its ability to reproduce results in line with the direct approach in a more economical, practical, and feasible way.

An Evaluation of the new 2021 Creatinine-Based Equation for Estimating Glomerular Filtration Rate (eGFR) in Pakistanis.

BACKGROUND: The new eGFR equation without race coefficients was recently developed and published by the CKD-EPI Collaboration. The new equation termed CKD-EPI 2021 has been endorsed by the National Kidney Foundation and the American Society of Nephrology. It is important to understand the impact this new equation might have on clinical decision making in practice; hence, this study is planned to evaluate the CKD-EPI 2021 equation in Pakistani population. To evaluate the performance of CKD-EPI 2021, CKD-EPI 2009, CKD-EPI Pak, and MDRD equations taking CrCl as gold standard. METHODS: This retrospective cross-sectional study was conducted at the section of Chemical Pathology, Department of Pathology and Laboratory Medicine, in collaboration with section of Nephrology, Department of Medicine, Aga Khan University, Karachi. Consecutive laboratory results of subjects above 18 years; tested for CrCl or three months December 2021 to February 2022 was retrieved from the integrated laboratory management system (iLMS). Demographic details including gender and age alongside biochemical results of CrCl and serum Cr were recorded on a prestructured questionnaire. Statistical analysis of the data will be performed using Statistical Package of Social Sciences (SPSS) version 22. RESULTS: After excluding those below 18 years of age, 2,609 cases were included in the final data analysis, with 1,419 (54.4%) males and 1,190 (45.6%) females. Mean age of the group was 52.8 ± 14.9 years. Among the 4 formulae tested against CrCl, CKD-EPI Pak showed the strongest correlation (r2 = 0.83), highest sensitivity 93.2% and negative predictive value of 93.0% with an overall agreement of 88%. CONCLUSIONS: The CKD-EPI Pak equation is more accurate and precise in estimating GFR in Pakistani population. Based on the successful five years of experience of reporting eGFR using this equation by a large tertiary care hospital in Pakistan, this is high time to propagate its incorporation reflexly with SCr laboratory reports with no additional cost constraints.

A framework for implementing best laboratory practices for non-integrated point of care tests in low resource settings.

The method we respond to pandemics is still inadequate for dealing with the point of care testing (POCT) requirements of the next large epidemic. The proposed framework highlights the importance of having defined policies and procedures in place for non-integrated POCT to protect patient safety. In the absence of a pathology laboratory, this paradigm may help in the supply of diagnostic services to low-resource centers. A review of the literature was used to construct this POCT framework for non-integrated and/or unconnected devices. It also sought professional advice from the Chemical Pathology faculty, quality assurance laboratory experts and international POCT experts from the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC). Our concept presents a comprehensive integrated and networked approach to POCT with direct and indirect clinical laboratory supervision, particularly for outpatient and inpatient care in low-resource health care settings.

Evaluation of the clinical, biochemical, and genetic presentation of neonatal and adult-onset 5,10-methylene tetrahydrofolate reductase (MTHFR) deficiency in patients from Pakistan.

OBJECTIVES: To study the biochemical, clinical and molecular characteristics of 5,10- methylenetetrahydrofolate reductase (MTHFR) deficiency in Pakistani patients from a single center. METHODS: Medical charts, urine organic acid chromatograms, plasma methionine and Hcys levels, and molecular testing results of MTHFR gene of patients presenting at the Biochemical Genetics Clinic, AKUH from 2016 to 2022 were reviewed. RESULTS: Neonatal MTHFR deficiency was found in five patients. The median (IQR) age of symptom onset and diagnosis were 18 (8.5-22) and 26 (16.5-31) days. The median lag between symptom onset and diagnosis was 8 (4.5-12.5) days. The median age of treatment initiation and duration of treatment were 26 (16.5-49) and 32 (25.5-54) days. The most common clinical features were lethargy, poor feeding, and seizures. The MTHFR gene sequencing revealed homozygous variants p.K510K, p.R567*, and p.R157W. Renal insufficiency manifesting as elevated serum creatinine and responding to betaine therapy was noted in one patient. This has not been previously reported in neonatal MTHFR deficiency and may reflect engagement of alternate pathways of remethylation. Adult onset MTHFR deficiency was found in six patients, with a heterogeneous neurological presentation. The median lag between symptoms onset and diagnosis was 7 (3-11) years. MTHFR gene sequencing revealed homozygous variant p.A195V in five patients from one family and p.G261V in the other. Two of the five reported variants are novel that include p.R157W and p.G261V. CONCLUSIONS: Eleven patients of this rare disorder from a single center indicate the need for clinical awareness and appropriate biochemical evaluation to ensure optimal outcomes.

Phenolics Extracted from Jasminum sambac Mitigates Diabetic Cardiomyopathy by Modulating Oxidative Stress, Apoptotic Mediators and the Nfr-2/HO-1 Pathway in Alloxan-Induced Diabetic Rats.

Diabetes mellitus is a chronic metabolic disorder defined as hyperglycemia and pancreatic ß-cell deterioration, leading to other complications such as cardiomyopathy. The current study assessed the therapeutic effects of phenolic acids extracted from Jasminum sambac phenols of leaves (JSP) against diabetes-induced cardiomyopathy in rats. The rats were divided into four groups, with each group consisting of 20 rats. The rats were given intraperitoneal injections of alloxan monohydrate (150 mg/kg) to induce diabetes. The diabetes-induced groups (III and IV) received treatment for six weeks that included 250 and 500 mg/kg of JSP extract, respectively. In the treated rats, the results demonstrated that JSP extract restored fasting glucose, serum glucose, and hyperlipidemia. Alloxan induced cardiomyopathy, promoted oxidative stress, and altered cardiac function biomarkers, including cardiac troponin I, proBNP, CK-MB, LDH, and IMA. The JSP extract-treated rats showed improved cardiac function indicators, apoptosis, and oxidative stress. In diabetic rats, the mRNA expression of caspase-3, BAX, and Bcl-2 was significantly higher, while Bcl-2, Nrf-2, and HO-,1 was significantly lower. In the treated groups, the expression levels of the BAX, Nrf-2, HO-1, Caspase-3, and Bcl-2 genes were dramatically returned to normal level. According to our findings, the JSP extract prevented cardiomyopathy and heart failure in the hyperglycemic rats by improving cardiac biomarkers and lowering the levels of hyperlipidemia, oxidative stress, apoptosis, hyperglycemia, and hyperlipidemia.