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Fulltext Prevalence of Alpha(α)-Thalassemia in Southeast Asia (2010-2020): A Meta-Analysis Involving 83,674 Subjects

Goh LPW, Chong ETJ, Lee PC

Int J Environ Res Public Health, 2020 10 09;17(20).
PMID: 33050119 DOI: 10.3390/ijerph17207354

Alpha(α)-thalassemia is a blood disorder caused by many types of inheritable α-globin gene mutations which causes no-to-severe clinical symptoms, such as Hb Bart's hydrops fetalis that leads to early foetal death. Therefore, the aim of this meta-analysis was to provide an update from year 2010 to 2020 on the prevalence of α-thalassemia in Southeast Asia. A systematic literature search was performed using PubMed and SCOPUS databases for related studies published from 2010 to 2020, based on specified inclusion and exclusion criteria. Heterogeneity of included studies was examined with the I2 index and Q-test. Funnel plots and Egger's tests were performed in order to determine publication bias in this meta-analysis. Twenty-nine studies with 83,674 subjects were included and pooled prevalence rates in this meta-analysis were calculated using random effect models based on high observed heterogeneity (I2 > 99.5, p-value < 0.1). Overall, the prevalence of α-thalassemia is 22.6%. The highest α-thalassemia prevalence was observed in Vietnam (51.5%) followed by Cambodia (39.5%), Laos (26.8%), Thailand (20.1%), and Malaysia (17.3%). No publication bias was detected. Conclusions: This meta-analysis suggested that a high prevalence of α-thalassemia occurred in selected Southeast Asia countries. This meta-analysis data are useful for designing thalassemia screening programs and improve the disease management.
Risk association, linkage disequilibrium and haplotype analyses of FASN rs4246445, rs2229425, rs2228305 and rs2229422 polymorphisms in overweight and obesity

Chong ETJ, Kuok SSE, Lee PC

Bioimpacts, 2018;8(3):159-165.
PMID: 30211075 DOI: 10.15171/bi.2018.18

Introduction:
Obesity is commonly linked up with several life-threatening diseases. This study aims to investigate the association of fatty acid synthase (FASN) rs4246445, rs2229425, rs2228305, and rs2229422 single nucleotide polymorphisms (SNPs) with the risk of overweight and obesity in the Malaysian population.
Methods:
Blood samples were collected from 1030 individuals who were grouped into normal, overweight, and obese categories. Blood biochemistry test and lipid profiling were performed and genomic DNA was extracted. Genotyping was performed using hydrolysis probes and odd ratio with 95% CI was calculated for risk association analysis. Linkage disequilibrium and haplotypes analyses were carried out using SHEsis software.
Results:
We found that the hemoglobin and white blood cell counts were significantly high in the obese subjects. There is a lack of evidence to link the FASN SNPs with the risk of overweight and obesity in the population. All 4 SNPs were seemed to be in linkage equilibrium. Five common haplotypes were identified in this study but none of them was significantly associated with overweight and obesity in the population.
Conclusion:
Our findings suggest a lack of evidence to associate the FASN rs4246445, rs2229425, rs2228305, and rs2229422 SNPs with the risk of overweight and obesity in the Malaysian population. All 4 SNPs were independent of each other and not all identified haplotypes were significantly associated with overweight and obesity in this study.
An Updated Review on the Role of Single Nucleotide Polymorphisms in COVID-19 Disease Severity: A Global Aspect

Ng JW, Chong ETJ, Lee PC

Curr Pharm Biotechnol, 2022 Jan 14.
PMID: 35034591 DOI: 10.2174/1389201023666220114162347

Coronavirus disease 2019 (COVID-19) is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and recently has become a serious global pandemic. Age, gender, and comorbidities are known to be common risk factors for severe COVID-19 but are not enough to fully explain the magnitude of their effect on the risk of severity of the disease. Single nucleotide polymorphisms (SNPs) in several genes have been reported as a genetic factor contributing to COVID-19 severity. This comprehensive review focuses on the association between SNPs in four important genes and COVID-19 severity in a global aspect. We discuss a total of 39 SNPs in this review: five SNPs in the ABO gene, nine SNPs in the angiotensin-converting enzyme 2 (ACE2) gene, 19 SNPs in the transmembrane protease serine 2 (TMPRSS2) gene, and six SNPs in the toll-like receptor 7 (TLR7) gene. These SNPs data could assist in monitoring an individual's risk of severe COVID-19 disease, and therefore personalized management and pharmaceutical treatment could be planned in COVID-19 patients.
Genetic and haplotype analyses targeting cytochrome b gene of Plasmodium knowlesi isolates of Malaysian Borneo and Peninsular Malaysia

Chong ETJ, Neoh JWF, Lau TY, Lim YA, Chua KH, Lee PC

Acta Trop, 2018 May;181:35-39.
PMID: 29409854 DOI: 10.1016/j.actatropica.2018.01.018

Malaria is a notorious disease which causes major global morbidity and mortality. This study aims to investigate the genetic and haplotype differences of Plasmodium knowlesi (P. knowlesi) isolates in Malaysian Borneo and Peninsular Malaysia based on the molecular analysis of the cytochrome b (cyt b) gene. The cyt b gene of 49 P. knowlesi isolates collected from Sabah, Malaysian Borneo and Peninsular Malaysia was amplified using PCR, cloned into a commercialized vector and sequenced. In addition, 45 cyt b sequences were retrieved from humans and macaques bringing to a total of 94 cyt b gene nucleotide sequences for phylogenetic analysis. Genetic and haplotype analyses of the cyt b were analyzed using MEGA6 and DnaSP ver. 5.10.01. The haplotype genealogical linkage of cyt b was generated using NETWORK ver. 4.6.1.3. Our phylogenetic tree revealed the conservation of the cyt b coding sequences with no distinct cluster across different geographic regions. Nucleotide analysis of cyt b showed that the P. knowlesi isolates underwent purifying selection with population expansion, which was further supported by extensive haplotype sharing between the macaques and humans from Malaysian Borneo and Peninsular Malaysia in the median-joining network analysis. This study expands knowledge on conservation of the zoonotic P. knowlesi cyt b gene between Malaysian Borneo and Peninsular Malaysia.
Fulltext Dataset of the complete genome of Streptomyces cavourensis strain 2BA6PGT isolated from sediment from the bottom of the salt lake Verkhnee Beloe (Buryatia, Russia)

Chong ETJ, Chiang C, Png KK, Abidueva E, Zaitseva S, Sun C, et al.

Data Brief, 2023 Feb;46:108877.
PMID: 36691562 DOI: 10.1016/j.dib.2022.108877

The Streptomyces cavourensis strain 2BA6PGT was isolated from sediment from the bottom of the salt lake Verkhnee Beloe (Buryatia, Russia). This strain's 7,651,223 bp complete genome has a high G + C content of 72.1% and consists of 7,069 coding sequences and 315 subsystems. The 16S ribosomal RNA of isolate 2BA6PGT was most closely related to Streptomyces cavourensis strain NBRC 13026T (98.91% identity), followed by Streptomyces bacillaris strain ATCC 15855T (95.36%), Streptomyces rhizosphaericola strain 1AS2cT (94.68%), and Streptomyces pluricolorescens strain JCM 4602T (86.75%). These comparisons were supported by pairwise comparisons using average nucleotide identity (ANI) and DNA-DNA hybridization analysis. This is the first complete genome reported on Streptomyces cavourensis isolated from sediment from the bottom of the salt lake Verkhnee Beloe. The complete genome sequence has been deposited at the NCBI GenBank with an accession number CP101140.
Fulltext Genetic diversity of circumsporozoite protein in Plasmodium knowlesi isolates from Malaysian Borneo and Peninsular Malaysia

Chong ETJ, Neoh JWF, Lau TY, Lim YA, Chai HC, Chua KH, et al.

Malar J, 2020 Oct 22;19(1):377.
PMID: 33092594 DOI: 10.1186/s12936-020-03451-x

BACKGROUND: Understanding the genetic diversity of candidate genes for malaria vaccines such as circumsporozoite protein (csp) may enhance the development of vaccines for treating Plasmodium knowlesi. Hence, the aim of this study is to investigate the genetic diversity of non-repeat regions of csp in P. knowlesi from Malaysian Borneo and Peninsular Malaysia.
METHODS: A total of 46 csp genes were subjected to polymerase chain reaction amplification. The genes were obtained from P. knowlesi isolates collected from different divisions of Sabah, Malaysian Borneo, and Peninsular Malaysia. The targeted gene fragments were cloned into a commercial vector and sequenced, and a phylogenetic tree was constructed while incorporating 168 csp sequences retrieved from the GenBank database. The genetic diversity and natural evolution of the csp sequences were analysed using MEGA6 and DnaSP ver. 5.10.01. A genealogical network of the csp haplotypes was generated using NETWORK ver. 4.6.1.3.
RESULTS: The phylogenetic analysis revealed indistinguishable clusters of P. knowlesi isolates across different geographic regions, including Malaysian Borneo and Peninsular Malaysia. Nucleotide analysis showed that the csp non-repeat regions of zoonotic P. knowlesi isolates obtained in this study underwent purifying selection with population expansion, which was supported by extensive haplotype sharing observed between humans and macaques. Novel variations were observed in the C-terminal non-repeat region of csp.
CONCLUSIONS: The csp non-repeat regions are relatively conserved and there is no distinct cluster of P. knowlesi isolates from Malaysian Borneo and Peninsular Malaysia. Distinctive variation data obtained in the C-terminal non-repeat region of csp could be beneficial for the design and development of vaccines to treat P. knowlesi.
Case-Control Study and Meta-Analysis of the Association Between LIPG rs9958947 SNP and Stroke Risk

Phneh KY, Chong ETJ, Shah SS, Chia YK, Daud DMBA, Jalil E, et al.

J Mol Neurosci, 2021 Oct;71(10):2085-2094.
PMID: 33479916 DOI: 10.1007/s12031-021-01795-w

The rs9958947 single nucleotide polymorphism (SNP) resides in the promoter region of the lipase G (LIPG) gene. This newly discovered SNP increases the risk of stroke in some Asian populations, including Chinese and Korean populations. Stroke is one of the top 5 leading causes of death in Malaysia, so it is of interest to investigate whether this SNP is associated with stroke risk in the Malaysian population. Therefore, this study investigates this association through a case-control study on a Malaysian population along with a comprehensive meta-analysis. Genotyping of LIPG rs9958947 SNP was performed for 241 Malaysians using real-time polymerase chain reaction, and the odds ratios (OR) with 95% confidence intervals were calculated. The meta-analysis was conducted using the software Comprehensive Meta-Analysis ver. 2.2.064. A p value less than 0.05 was considered statistically significant. We observed that the mean age of Malaysian stroke patients was less than that of stroke patients from Korea and China. The meta-analysis showed that the LIPG rs9958947 SNP was significantly associated with an increased risk of ischemic stroke in Asian populations (dominant (CC vs. CT + TT): OR = 1.45, p 0.05) and blood lipid levels.
Fulltext Prevalence of Coronavirus Disease 2019 (COVID-19) in Different Clinical Stages before the National COVID-19 Vaccination Programme in Malaysia: A Systematic Review and Meta-Analysis

Ng JW, Chong ETJ, Tan YA, Lee HG, Chan LL, Lee QZ, et al.

Int J Environ Res Public Health, 2022 Feb 16;19(4).
PMID: 35206404 DOI: 10.3390/ijerph19042216

More than 1.75 million COVID-19 infections and 16 thousand associated deaths have been reported in Malaysia. A meta-analysis on the prevalence of COVID-19 in different clinical stages before the National COVID-19 Vaccination Program in Malaysia is still lacking. To address this, the disease severity of a total of 215 admitted COVID-19 patients was initially recorded in the early phase of this study, and the data were later pooled into a meta-analysis with the aim of providing insight into the prevalence of COVID-19 in 5 different clinical stages during the outset of the COVID-19 pandemic in Malaysia. We have conducted a systematic literature search using PubMed, Web of Science, Scopus, ScienceDirect, and two preprint databases (bioRxiv and medRxiv) for relevant studies with specified inclusion and exclusion criteria. The quality assessment for the included studies was performed using the Newcastle-Ottawa Scale. The heterogeneity was examined with an I2 index and a Q-test. Funnel plots and Egger's tests were performed to determine publication bias in this meta-analysis. Overall, 5 studies with 6375 patients were included, and the pooled prevalence rates in this meta-analysis were calculated using a random-effect model. The highest prevalence of COVID-19 in Malaysia was observed in Stage 2 cases (32.0%), followed by Stage 1 (27.8%), Stage 3 (17.1%), Stage 4 (7.6%), and Stage 5 (3.4%). About two-thirds of the number of cases have at least one morbidity, with the highest percentage of hypertension (66.7%), obesity (55.5%), or diabetes mellitus (33.3%) in Stage 5 patients. In conclusion, this meta-analysis suggested a high prevalence of COVID-19 occurred in Stage 2. The prevalence rate in Stage 5 appeared to be the lowest among COVID-19 patients before implementing the vaccination program in Malaysia. These meta-analysis data are critically useful for designing screening and vaccination programs and improving disease management in the country.