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Gene expression profiling of host lipid metabolism in SARS-CoV-2 infected patients: a systematic review and integrated bioinformatics analysis

Munawar WASWA, Elias MH, Addnan FH, Hassandarvish P, AbuBakar S, Roslan N

BMC Infect Dis, 2024 Jan 23;24(1):124.
PMID: 38263024 DOI: 10.1186/s12879-024-08983-0

BACKGROUND: The Coronavirus disease 2019 (COVID-19) pandemic occurred due to the dispersion of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Severe symptoms can be observed in COVID-19 patients with lipid-related comorbidities such as obesity and diabetes. Yet, the extensive molecular mechanisms of how SARS-CoV-2 causes dysregulation of lipid metabolism remain unknown.
METHODS: Here, an advanced search of articles was conducted using PubMed, Scopus, EBSCOhost, and Web of Science databases using terms from Medical Subject Heading (MeSH) like SARS-CoV-2, lipid metabolism and transcriptomic as the keywords. From 428 retrieved studies, only clinical studies using next-generation sequencing as a gene expression method in COVID-19 patients were accepted. Study design, study population, sample type, the method for gene expression and differentially expressed genes (DEGs) were extracted from the five included studies. The DEGs obtained from the studies were pooled and analyzed using the bioinformatics software package, DAVID, to determine the enriched pathways. The DEGs involved in lipid metabolic pathways were selected and further analyzed using STRING and Cytoscape through visualization by protein-protein interaction (PPI) network complex.
RESULTS: The analysis identified nine remarkable clusters from the PPI complex, where cluster 1 showed the highest molecular interaction score. Three potential candidate genes (PPARG, IFITM3 and APOBEC3G) were pointed out from the integrated bioinformatics analysis in this systematic review and were chosen due to their significant role in regulating lipid metabolism. These candidate genes were significantly involved in enriched lipid metabolic pathways, mainly in regulating lipid homeostasis affecting the pathogenicity of SARS-CoV-2, specifically in mechanisms of viral entry and viral replication in COVID-19 patients.
CONCLUSIONS: Taken together, our findings in this systematic review highlight the affected lipid-metabolic pathways along with the affected genes upon SARS-CoV-2 invasion, which could be a potential target for new therapeutic strategies study in the future.
Fulltext The effect of kelulut honey on fasting blood glucose and metabolic parameters in patients with impaired fasting glucose

Rashid MR, Nor Aripin KN, Syed Mohideen FB, Baharom N, Omar K, Md Taujuddin NMS, et al.

J Nutr Metab, 2019;2019:3176018.
PMID: 30863635 DOI: 10.1155/2019/3176018

Background: Impaired fasting glucose (IFG) poses a higher risk of diabetes. Honey has been reported to improve metabolic abnormalities including lowering hyperglycemia. This study is sought at determining the effect of Malaysian Kelulut honey (KH) on fasting glucose levels and metabolic parameters in IFG patients.
Methods: This quasi-experimental intervention study of 30-day duration was conducted among 60 adult patients with IFG. They were allocated into taking 30 g/day KH group (experimental group, n=30) and not taking KH group (control group, n=30). Body mass index (BMI), waist circumference, blood pressure (BP), fasting glucose, and lipid profile levels (total cholesterol, triglyceride, high-density lipoprotein, and low-density lipoprotein) were measured before and after treatment.
Results: There was no significant difference in all measured variables at day 30 compared to day 1 within both groups. Similarly, all measured variables neither at day 1 nor at day 30 had shown a statistically significant difference between the groups.
Conclusions: Daily intake of 30 g KH for 30 days resulted in insignificant effect on fasting glucose, fasting lipid profiles, and other metabolic parameters in patients with IFG. Further studies that employ longer study duration are needed to ascertain the finding.
Study site: Universiti Sains Islam Malaysia (USIM) Specialist Centre, Negeri Sembilan, Malaysia, and Faculty of Medicine and Health Sciences, Kuala Lumpur in Malaysia.
Fulltext COVID-19 Pandemic Fatigue and Its Sociodemographic, Mental Health Status, and Perceived Causes: A Cross-Sectional Study Nearing the Transition to an Endemic Phase in Malaysia

Abdul Rashid MR, Syed Mohamad SN, Tajjudin AIA, Roslan N, Jaffar A, Mohideen FBS, et al.

Int J Environ Res Public Health, 2023 Mar 02;20(5).
PMID: 36901486 DOI: 10.3390/ijerph20054476

This study aimed to explore the socio-demographic characteristics, mental health status, and perceived causes of pandemic fatigue with COVID-19 pandemic fatigue among the general population of Malaysia. The data was collected online during the transition from the COVID-19 pandemic phase to the endemic phase in Malaysia from 1 to 30 April 2022. Sociodemographic data, Depression Anxiety Stress Scale-21 (DASS-21), perceived causes of pandemic fatigue, and the Fatigue Assessment Scale (FAS) were included in the survey. The chi-square test and a simple logistic regression analysis were used to identify predictors of pandemic fatigue. The completed survey (N = 775) included individuals aged 18 years or above [mean 31.98 (SD = 12.16)] from all states in Malaysia. Pandemic fatigue prevalence was 54.2%. Severe to extremely severe depression, anxiety, and stress symptoms were detected in 11.2%, 14.9%, and 9.1% of the participants, respectively. Younger age, non-Malay ethnicity, living alone, and higher income categories were significantly higher in the fatigued group. Higher DASS-21 scores on all domains were associated with higher FAS scores. Meanwhile, high scores for perceived tiredness from complying with the COVID-19 Standard Operating Procedure (SOP), perceived risk of infection from COVID-19, perceived hardship due to the pandemic, perceived public complacency during the pandemic, and perceived changes due to the pandemic were associated with a higher FAS score. This study provides valuable information for policymakers and mental health professionals worldwide on pandemic fatigue and its associated factors, including mental health status in Malaysia.
Ethnicity-matched case-control study reveals significant gut microbiota differences in Malaysian adults with type 2 diabetes

Letchumanan G, Marlini M, Baharom N, Lawley B, Syed Mohideen FB, Jogulu SR, et al.

J Med Microbiol, 2025 Jan;74(1).
PMID: 39886920 DOI: 10.1099/jmm.0.001963

Introduction. Type 2 diabetes mellitus (T2DM) is a major global health issue projected to exceed 700 million cases by 2045. In Malaysia, T2DM prevalence has risen, with notable ethnic disparities.Gap statement. The gut microbiota's role in T2DM pathogenesis is well recognized, yet its composition in Malaysia's ethnically diverse population remains underexplored.Aim. This study aimed to characterize gut microbiota composition among T2DM and ethnicity-matched adults without diabetes (nonDM) in Malaysia.Methodology. A case-control study was conducted with 45 T2DM and 45 nonDM participants matched by ethnicity from a primary care clinic in Klang Valley, Malaysia. Faecal DNA was subjected to 16S rRNA sequencing to identify microbiota diversity and composition differences and compare predicted functional capabilities. Correlations between bacterial taxa, clinical characteristics and dietary intake were analysed.Results. T2DM participants showed decreased alpha diversity (observed, P-value=0.002, r=0.69; Shannon, P-value<0.001, r=0.73) and significant differences in beta diversity (permutational multivariate ANOVA, R²=0.036, P-value=0.001). Linear discriminant analysis effect size and multiple regression analysis, adjusted for covariates age, gender, BMI and intakes of protein, fat, carbohydrate and fibre, identified the phylum Proteobacteria and genera Escherichia-Shigella to be increased, while the genera Anaerostipes and Romboutsia decreased in T2DM. These bacteria were associated with various clinical characteristics and dietary intake. However, these 'potential biomarkers' were not uniformly present across all participants, suggesting that individual bacterial taxa may not serve as universal biomarkers.Conclusion. Significant gut microbiota differences exist between T2DM and nonDM individuals in Malaysia, indicating a dysbiosis characterized by increased pro-inflammatory bacteria and reduced short-chain fatty acid-producing bacteria in T2DM. While these findings highlight the potential functional relevance of gut microbiota in T2DM pathogenesis, addressing limitations such as participant matching for confounding factors in future studies could uncover additional significant differences in microbiota composition. Furthermore, the variability in taxa prevalence across individuals suggests that targeting microbial metabolic products may offer more promising strategies to inform microbiota-targeted interventions than relying solely on specific bacterial taxa as biomarkers.