Displaying publications 1 - 20 of 1097 in total

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  1. Mehdi WA, Mehde AA, Raus RA, Yusof F, Abidin ZAZ, Ghazali H, et al.
    Int J Biol Macromol, 2018 Oct 15;118(Pt A):610-616.
    PMID: 29959006 DOI: 10.1016/j.ijbiomac.2018.06.113
    BACKGROUND: It is assumed that genetic factors play crucial role in nephrolithiasis. The present study was conducted to explore the role of Human Transcription Factor-7 like-2 (TCF7L2) β-defensin (DEFB1) and CD14 gene polymorphism in development and progression of nephrolithiasis.

    METHODS: The genotypes of TCF7L2, DEFB1 and CD14 polymorphism were determined in 240 nephrolithiasis patients and 240 healthy controls by restriction digestion method of PCR. The levels of serum TCF7L2, DEFB1, CD14, uric acid and other biochemical parameters were measured both in nephrolithiasis patients and healthy control.

    RESULTS: The patients and control groups showed 30% and 50% 1654 AA DEFB1 genotype respectively. The Allele frequency in case of patient's group was 63.67% while in control group it was 36.33%. The mean serum DEFB1 levels of the patients and control groups attained were 115.66 and 239.43 pg/mL respectively. The allele frequency of TCF7L2 in patients and controls were 44.17% and 70.0% for C-allele, 55.83% and 30.00% for T-allele respectively. The mean of serum TCF7L2 levels were significantly decreased in patients compared to control group.

    CONCLUSIONS: The present findings are first of its class that validates a considerable connection of DEFB1 and TCF7L2 gene polymorphisms with nephrolithiasis and could probably act as indicators to estimate the risk associated to nephrolithiasis.

    Matched MeSH terms: Genotype
  2. Shimelis H, Mesman RLS, Von Nicolai C, Ehlen A, Guidugli L, Martin C, et al.
    Cancer Res, 2017 Jun 01;77(11):2789-2799.
    PMID: 28283652 DOI: 10.1158/0008-5472.CAN-16-2568
    Breast cancer risks conferred by many germline missense variants in the BRCA1 and BRCA2 genes, often referred to as variants of uncertain significance (VUS), have not been established. In this study, associations between 19 BRCA1 and 33 BRCA2 missense substitution variants and breast cancer risk were investigated through a breast cancer case-control study using genotyping data from 38 studies of predominantly European ancestry (41,890 cases and 41,607 controls) and nine studies of Asian ancestry (6,269 cases and 6,624 controls). The BRCA2 c.9104A>C, p.Tyr3035Ser (OR = 2.52; P = 0.04), and BRCA1 c.5096G>A, p.Arg1699Gln (OR = 4.29; P = 0.009) variant were associated with moderately increased risks of breast cancer among Europeans, whereas BRCA2 c.7522G>A, p.Gly2508Ser (OR = 2.68; P = 0.004), and c.8187G>T, p.Lys2729Asn (OR = 1.4; P = 0.004) were associated with moderate and low risks of breast cancer among Asians. Functional characterization of the BRCA2 variants using four quantitative assays showed reduced BRCA2 activity for p.Tyr3035Ser compared with wild-type. Overall, our results show how BRCA2 missense variants that influence protein function can confer clinically relevant, moderately increased risks of breast cancer, with potential implications for risk management guidelines in women with these specific variants. Cancer Res; 77(11); 2789-99. ©2017 AACR.
    Matched MeSH terms: Genotype
  3. Zuridah H
    Med J Malaysia, 2012 Oct;67(5):548.
    PMID: 23770884
    Matched MeSH terms: Genotype
  4. Gan SH, Ismail R, Wan Adnan WA, Zulmi W
    Mol Diagn Ther, 2007;11(3):171-81.
    PMID: 17570739
    Tramadol is metabolized by the highly polymorphic enzyme cytochrome P450 (CYP)2D6. Patients with different CYP2D6 genotypes may respond differently to tramadol in terms of pain relief and adverse events. In this study, we compare the pharmacokinetics and effects of tramadol in Malaysian patients with different genotypes to establish the pharmacokinetic-pharmacodynamic relationship of tramadol.
    Matched MeSH terms: Genotype
  5. Yahya MJ, Ismail PB, Nordin NB, Akim ABM, Binti Md Yusuf WS, Adam NLB, et al.
    J Nutr Metab, 2019;2019:8736215.
    PMID: 30719346 DOI: 10.1155/2019/8736215
    Type 2 diabetes mellitus (T2DM) is associated with a high incidence of nephropathy. The aim of this study was to investigate the association of a genetic polymorphism of carnosinase (CNDP1-D18S880 and -rs2346061), endothelial nitric oxide synthase (NOS3-rs1799983), and manganese superoxide dismutase (MnSOD-rs4880) genes with the development of diabetic nephropathy among Malaysian type 2 diabetic patients. A case-control association study was performed using 652 T2DM patients comprising 227 Malays (without nephropathy = 96 and nephropathy = 131), 203 Chinese (without nephropathy = 95 and nephropathy = 108), and 222 Indians (without nephropathy = 136 and nephropathy = 86). DNA sequencing was performed for the D18S880 of CNDP1, while the rest were tested using DNA Sequenom MassARRAY to identify the polymorphisms. DNA was extracted from the secondary blood samples taken from the T2DM patients. The alleles and genotypes were tested using four genetic models, and the best mode of inheritance was chosen based on the least p value. The rs2346061 of CNDP1 was significantly associated with diabetic nephropathy among the Indians only with OR = 1.94 and 95% CI = (1.76-3.20) and fitted best the multiplicative model, while D18S880 was associated among all the three major races with the Malays having the strongest association with OR = 2.46 and 95% CI = (1.48-4.10), Chinese with OR = 2.26 and 95% CI = (1.34-3.83), and Indians with OR = 1.77 and 95% CI = (1.18-2.65) in the genotypic multiplicative model. The best mode of inheritance for both MnSOD and NOS3 was the additive model. For MnSOD-rs4880, the Chinese had OR = 2.8 and 95% CI = (0.53-14.94), Indians had OR = 2.4 and 95% CI = (0.69-2.84), and Malays had OR = 2.16 and 95% CI = (0.54-8.65), while for NOS3-rs1799983, the Indians had the highest risk with OR = 3.16 and 95% CI = (0.52-17.56), followed by the Chinese with OR = 3.55 and 95% CI = (0.36-35.03) and the Malays with OR = 2.89 and 95% CI = (0.29-28.32). The four oxidative stress-related polymorphisms have significant effects on the development of nephropathy in type 2 diabetes patients. The genes may, therefore, be considered as risk factors for Malaysian subjects who are predisposed to T2DM nephropathy.
    Matched MeSH terms: Genotype
  6. Rahimah A, Syahira Lazira O, Siti Hida HM, Faidatul Syazlin AH, Nur Aisyah A, Nik Hafidzah NM, et al.
    Med J Malaysia, 2014 Feb;69(1):42-3.
    PMID: 24814631 MyJurnal
    Haemoglobin S D-Punjab is a rare compound heterozygous haemoglobinopathy characterised by the presence of two β globin gene variants: Β6(GAG→GTG) and Β121(GAA→CAA). These patients' clinical and haematological features mimic haemoglobin S disease. We describe the first case of doubly heterozygous HbSD-Punjab from Malaysia managed with regular blood transfusion at the age of one. This case highlights the propensity for occurrence of rare phenotypes within our multi-ethnic population and emphasises the importance of accurate genotyping to avoid erroneous counselling, and to plan an effective patient management strategy before complication evolves.
    Matched MeSH terms: Genotype
  7. Butt M, Sattar A, Abbas T, Hussain R, Ijaz M, Sher A, et al.
    PLoS One, 2021;16(11):e0257893.
    PMID: 34735478 DOI: 10.1371/journal.pone.0257893
    Climate change is causing soil salinization, resulting in huge crop losses throughout the world. Multiple physiological and biochemical pathways determine the ability of plants to tolerate salt stress. Chili (Capsicum annum L.) is a salt-susceptible crop; therefore, its growth and yield is negatively impacted by salinity. Irreversible damage at cell level and photo inhibition due to high production of reactive oxygen species (ROS) and less CO2 availability caused by water stress is directly linked with salinity. A pot experiment was conducted to determine the impact of five NaCl salinity levels, i.e., 0,1.5, 3.0, 5.0 and 7.0 dS m-1 on growth, biochemical attributes and yield of two chili genotypes ('Plahi' and 'A-120'). Salinity stress significantly reduced fresh and dry weight, relative water contents, water use efficiency, leaf osmotic potential, glycine betaine (GB) contents, photosynthetic rate (A), transpiration rate (E), stomatal conductance (Ci), and chlorophyll contents of tested genotypes. Salinity stress significantly enhanced malondialdehyde (MDA) contents and activities of the enzymatic antioxidants such as superoxide dismutase (SOD), catalase (CAT) and peroxidase (POD). In addition, increasing salinity levels significantly reduced the tissue phosphorus and potassium concentrations, while enhanced the tissue sodium and chloride concentrations. Genotype 'Plahi' had better growth and biochemical attributes compared to 'A-120'. Therefore, 'Plahi' is recommended for saline areas to improve chili production.
    Matched MeSH terms: Genotype
  8. Salahshourifar I, Wan Sulaiman WA, Halim AS, Zilfalil BA
    Eur J Med Genet, 2012 Jun;55(6-7):389-93.
    PMID: 22440537 DOI: 10.1016/j.ejmg.2012.02.006
    Non-syndromic oral clefts share the main clinical features of Van der Woude Syndrome (VWS), with the exception of the lower lip pit. Thus, about 15% of VWS cases are indistinguishable from cases with non-syndromic oral clefts. IRF6 mutations are the major cause of VWS; however, variants in this gene show strong association with non-syndromic oral clefts, with a higher increased risk among cases with cleft lip only (CLO). A total of 39 individuals, including 16 patients with CLO and 23 patients with a family history of cleft, were examined for IRF6 mutations in the present study. Seven variants, including five known (c.-75-4 A>; G, c.-73T>; C, c.459G>; T 5, c.820G>; A, and c.1060 + 37C>; T) and two novel (c.-75-23G>; C and c.1380G>; T), were found. Both novel variants were inherited from non-affected parents and we did not find also in the 120 control chromosomes. In silico analysis revealed that both c.1380G>; T and c.-75-23G>; C variants may disrupts a putative exonic splicing enhancer and intronic splicing binding site for SC35, respectively. Taken together, the presence of deleterious IRF6 variants in patients with non-syndromic oral clefts could be most likely an evidence for VWS. While, IRF6 variants could, at best, contribute to clefting as part of a complex inheritance pattern, with both additional genes and environmental factors having a role.
    Matched MeSH terms: Genotype
  9. Sasongko TH, Gunadi, Yusoff S, Atif AB, Fatemeh H, Rani A, et al.
    Brain Dev, 2010 May;32(5):385-9.
    PMID: 19664890 DOI: 10.1016/j.braindev.2009.06.008
    The majority of spinal muscular atrophy (SMA) patients showed homozygous deletion or other mutations of SMN1. However, the genetic etiology of a significant number of SMA patients has not been clarified. Recently, mutation in the gene underlying cat SMA, limb expression 1 (LIX1), has been reported. Similarity in clinical and pathological features of cat and human SMA may give an insight into possible similarity of the genetic etiology.
    Matched MeSH terms: Genotype
  10. Aishah ZS, Khairi MD, Normastura AR, Zafarina Z, Zilfalil BA
    J Laryngol Otol, 2008 Dec;122(12):1284-8.
    PMID: 18353197 DOI: 10.1017/S0022215108002041
    To determine the frequency and type of gap junction protein beta-2 gene mutations in Malay patients with autosomal recessive, non-syndromic hearing loss.
    Matched MeSH terms: Genotype
  11. Watihayati MS, Fatemeh H, Marini M, Atif AB, Zahiruddin WM, Sasongko TH, et al.
    Brain Dev, 2009 Jan;31(1):42-5.
    PMID: 18842367 DOI: 10.1016/j.braindev.2008.08.012
    Spinal muscular atrophy (SMA) is an autosomal recessive neuromuscular disorder caused by mutations in the SMN1 gene. The SMN2 gene is highly homologous to SMN1 and has been reported to be correlated with severity of the disease. The clinical presentation of SMA varies from severe to mild, with three clinical subtypes (type I, type II, and type III) that are assigned according to age of onset and severity of the disease. Here, we aim to investigate the potential association between the number of copies of SMN2 and the deletion in the NAIP gene with the clinical severity of SMA in patients of Malaysian origin. Forty-two SMA patients (14 of type I, 20 type II, and 8 type III) carrying deletions of the SMN1 gene were enrolled in this study. SMN2 copy number was determined by fluorescence-based quantitative polymerase chain reaction assay. Twenty-nine percent of type I patients carried one copy of SMN2, while the remaining 71% carried two copies. Among the type II and type III SMA patients, 29% of cases carried two copies of the gene, while 71% carried three or four copies of SMN2. Deletion analysis of NAIP showed that 50% of type I SMA patients had a homozygous deletion of exon 5 of this gene and that only 10% of type II SMA cases carried a homozygous deletion, while all type III patients carried intact copies of the NAIP gene. We conclude that there exists a close relationship between SMN2 copy number and SMA disease severity, suggesting that the determination of SMN2 copy number may be a good predictor of SMA disease type. Furthermore, NAIP gene deletion was found to be associated with SMA severity. In conclusion, combining the analysis of deletion of NAIP with the assessment of SMN2 copy number increases the value of this tool in predicting the severity of SMA.
    Matched MeSH terms: Genotype
  12. Yahya P, Sulong S, Harun A, Wangkumhang P, Wilantho A, Ngamphiw C, et al.
    Int J Legal Med, 2020 Jan;134(1):123-134.
    PMID: 31760471 DOI: 10.1007/s00414-019-02184-0
    Ancestry-informative markers (AIMs) can be used to infer the ancestry of an individual to minimize the inaccuracy of self-reported ethnicity in biomedical research. In this study, we describe three methods for selecting AIM SNPs for the Malay population (Malay AIM panel) using different approaches based on pairwise FST, informativeness for assignment (In), and PCA-correlated SNPs (PCAIMs). These Malay AIM panels were extracted from genotype data stored in SNP arrays hosted by the Malaysian node of the Human Variome Project (MyHVP) and the Singapore Genome Variation Project (SGVP). In particular, genotype data from a total of 165 Malay individuals were analyzed, comprising data on 117 individual genotypes from the Affymetrix SNP-6 SNP array platform and data on 48 individual genotypes from the OMNI 2.5 Illumina SNP array platform. The HapMap phase 3 database (1397 individuals from 11 populations) was used as a reference for comparison with the Malay genotype data. The accuracy of each resulting Malay AIM panel was evaluated using a machine learning "ancestry-predictive model" constructed by using WEKA, a comprehensive machine learning platform written in Java. A total of 1250 SNPs were finally selected, which successfully identified Malay individuals from other world populations with an accuracy of 90%, but the accuracy decreased to 80% using 157 SNPs according to the pairwise FST method, while a panel of 200 SNPs selected using In and PCAIMs could be used to identify Malay individuals with an accuracy of approximately 80%.
    Matched MeSH terms: Genotype*
  13. Yahya P, Sulong S, Harun A, Wan Isa H, Ab Rajab NS, Wangkumhang P, et al.
    Forensic Sci Int Genet, 2017 09;30:152-159.
    PMID: 28743033 DOI: 10.1016/j.fsigen.2017.07.005
    Malay, the main ethnic group in Peninsular Malaysia, is represented by various sub-ethnic groups such as Melayu Banjar, Melayu Bugis, Melayu Champa, Melayu Java, Melayu Kedah Melayu Kelantan, Melayu Minang and Melayu Patani. Using data retrieved from the MyHVP (Malaysian Human Variome Project) database, a total of 135 individuals from these sub-ethnic groups were profiled using the Affymetrix GeneChip Mapping Xba 50-K single nucleotide polymorphism (SNP) array to identify SNPs that were ancestry-informative markers (AIMs) for Malays of Peninsular Malaysia. Prior to selecting the AIMs, the genetic structure of Malays was explored with reference to 11 other populations obtained from the Pan-Asian SNP Consortium database using principal component analysis (PCA) and ADMIXTURE. Iterative pruning principal component analysis (ipPCA) was further used to identify sub-groups of Malays. Subsequently, we constructed an AIMs panel for Malays using the informativeness for assignment (In) of genetic markers, and the K-nearest neighbor classifier (KNN) was used to teach the classification models. A model of 250 SNPs ranked by In, correctly classified Malay individuals with an accuracy of up to 90%. The identified panel of SNPs could be utilized as a panel of AIMs to ascertain the specific ancestry of Malays, which may be useful in disease association studies, biomedical research or forensic investigation purposes.
    Matched MeSH terms: Genotype
  14. Zeng C, Guo X, Long J, Kuchenbaecker KB, Droit A, Michailidou K, et al.
    Breast Cancer Res, 2016 06 21;18(1):64.
    PMID: 27459855 DOI: 10.1186/s13058-016-0718-0
    BACKGROUND: Multiple recent genome-wide association studies (GWAS) have identified a single nucleotide polymorphism (SNP), rs10771399, at 12p11 that is associated with breast cancer risk.

    METHOD: We performed a fine-scale mapping study of a 700 kb region including 441 genotyped and more than 1300 imputed genetic variants in 48,155 cases and 43,612 controls of European descent, 6269 cases and 6624 controls of East Asian descent and 1116 cases and 932 controls of African descent in the Breast Cancer Association Consortium (BCAC; http://bcac.ccge.medschl.cam.ac.uk/ ), and in 15,252 BRCA1 mutation carriers in the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA). Stepwise regression analyses were performed to identify independent association signals. Data from the Encyclopedia of DNA Elements project (ENCODE) and the Cancer Genome Atlas (TCGA) were used for functional annotation.

    RESULTS: Analysis of data from European descendants found evidence for four independent association signals at 12p11, represented by rs7297051 (odds ratio (OR) = 1.09, 95 % confidence interval (CI) = 1.06-1.12; P = 3 × 10(-9)), rs805510 (OR = 1.08, 95 % CI = 1.04-1.12, P = 2 × 10(-5)), and rs1871152 (OR = 1.04, 95 % CI = 1.02-1.06; P = 2 × 10(-4)) identified in the general populations, and rs113824616 (P = 7 × 10(-5)) identified in the meta-analysis of BCAC ER-negative cases and BRCA1 mutation carriers. SNPs rs7297051, rs805510 and rs113824616 were also associated with breast cancer risk at P 

    Matched MeSH terms: Genotype
  15. Zhang L, Cenci A, Rouard M, Zhang D, Wang Y, Tang W, et al.
    Sci Rep, 2019 06 03;9(1):8199.
    PMID: 31160634 DOI: 10.1038/s41598-019-44637-x
    Fusarium wilt disease, caused by Fusarium oxysporum f. sp. cubense, especially by tropical race 4 (Foc TR4), is threatening the global banana industry. Musa acuminata Pahang, a wild diploid banana that displays strong resistance to Foc TR4, holds great potential to understand the underlying resistance mechanisms. Microscopic examination reports that, in a wounding inoculation system, the Foc TR4 infection processes in roots of Pahang (resistant) and a triploid cultivar Brazilian (susceptible) were similar by 7 days post inoculation (dpi), but significant differences were observed in corms of both genotypes at 14 dpi. We compare transcriptomic responses in the corms of Pahang and Brazilian, and show that Pahang exhibited constitutive defense responses before Foc TR4 infection and inducible defense responses prior to Brazilian at the initial Foc TR4 infection stage. Most key enzymatic genes in the phenylalanine metabolism pathway were up-regulated in Brazilian, suggesting that lignin and phytotoxin may be triggered during later stages of Foc TR4 infection. This study unravels a few potential resistance candidate genes whose expression patterns were assessed by RT-qPCR assay and improves our understanding the defense mechanisms of Pahang response to Foc TR4.
    Matched MeSH terms: Genotype
  16. Xia NB, Lu Y, Zhao PF, Wang CF, Li YY, Tan L, et al.
    Trop Biomed, 2020 Jun 01;37(2):489-498.
    PMID: 33612818
    Toxoplasma gondii, a ubiquitous pathogen that infects nearly all warm-blooded animals and humans, can cause severe complications to the infected people and animals as well as serious economic losses and social problems. Here, one local strain (TgPIG-WH1) was isolated from an aborted pig fetus, and the genotype of this strain was identified as ToxoDB #3 by the PCR RFLP typing method using 10 molecular markers (SAG1, SAG2, alternative SAG2, SAG3, BTUB, GRA6, L358, PK1, C22-8, C29-2 and Apico). A comparison of the virulence of this isolate with other strains in both mice and piglets showed that TgPIG-WH1 was less virulent than type 1 strain RH and type 2 strain ME49 in mice, and caused similar symptoms to those of ME49 such as fever in piglets. Additionally, in piglet infection with both strains, the TgPIG-WH1 caused a higher IgG response and more severe pathological damages than ME49. Furthermore, TgPIG-WH1 caused one death in the 5 infected piglets, whereas ME49 did not, suggesting the higher virulence of TgPIG-WH1 than ME49 during piglet infection. Experimental infections indicate that the virulence of TgPIG-WH1 relative to ME49 is weaker in mice, but higher in pigs. This is probably the first report regarding a ToxoDB #3 strain from pigs in Hubei, China. These data will facilitate the understanding of genetic diversity of Toxoplasma strains in China as well as the prevention and control of porcine toxoplasmosis in the local region.
    Matched MeSH terms: Genotype
  17. Chen L, Yao XJ, Xu SJ, Yang H, Wu CL, Lu J, et al.
    Arch Virol, 2018 Nov 29.
    PMID: 30498962 DOI: 10.1007/s00705-018-4112-3
    Coxsackievirus A16 (CV-A16) of the genotypes B1a and B1b have co-circulated in mainland China in the past decades. From 2013 to 2017, a total of 3,008 specimens from 3,008 patients with mild hand, foot, and mouth disease were collected in the present study. Viral RNA was tested for CV-A16 by a real-time RT-PCR method, and complete VP1 sequences and full-length genome sequences of CV-A16 strains from this study were determined by RT-PCR and sequencing. Sequences were analyzed using a series of bioinformatics programs. The detection rate for CV-A16 was 4.1%, 25.9%, 10.6%, 28.1% and 12.9% in 2013, 2014, 2015, 2016 and 2017, respectively. Overall, the detection rate for CV-A16 was 16.5% (497/3008) in this 5-year period in Shenzhen, China. One hundred forty-two (142/155, 91.6%) of the 155 genotype B1 strains in the study belonged to subgenotype B1b, and 13 (13/155, 8.4%) strains belonged to subgenotype B1a. Two strains (CVA16/Shenzhen174/CHN/2017 and CVA16/Shenzhen189/CHN/2017) could not be assigned to a known genotype. Phylogenetic analysis of these two strains and other Chinese CV-A16 strains indicated that these two CV-A16 strains clustered independently in a novel clade whose members differed by 8.4%-11.8%, 8.4%-12.1%, and 14.6%-14.8% in their nucleotide sequences from those of Chinese B1a, B1b, and genotype D strains, respectively. Phylogenetic analysis of global CV-A16 strains further indicated that the two novel CV-A16 strains from this study grouped in a previously uncharacterized clade, which was designated as the subgenogroup B3 in present study. Meanwhile, phylogenetic reconstruction revealed two other new genotypes, B1d and B4, which included a Malaysian strain and two American strains, respectively. The complete genome sequences of the two novel CV-A16 strains showed the highest nucleotide sequence identity of 92.3% to the Malaysian strain PM-15765-00 from 2000. Comparative analysis of amino acid sequences of the two novel CV-A16 strains and their relatives suggested that variations in the nonstructural proteins may play an important role in the evolution of modern CV-A16.
    Matched MeSH terms: Genotype
  18. Dow RA, Zhang HM
    Zootaxa, 2018 Jan 25;4375(4):567-577.
    PMID: 29690088 DOI: 10.11646/zootaxa.4375.4.6
    Yunnanosticta gen. nov. in the platystictid subfamily Sinostictinae is described from Yunnan, China. The genotype is Yunnanosticta wilsoni sp. nov., described here (holotype ♂ from Tongbiguan, Yingjiang County, Dehong Dai Jingpo Autonomous Prefecture, Yunnan, China, 23 vi 2015, leg. H.M. Zhang, to be deposited in the Natural History Museum, London). Yunnanosticta cyaneocollaris sp. nov. (holotype ♂ from Tongbiguan, Yingjiang County, Dehong Dai Jingpo Autonomous Prefecture, Yunnan, China, 23 vi 2015, leg. H.M. Zhang, to be deposited in the Natural History Museum, London) is also described.
    Matched MeSH terms: Genotype
  19. Peksheva O, Kuzovatova E, Parfenova O, Zaytseva N
    Viruses, 2022 Aug 27;14(9).
    PMID: 36146704 DOI: 10.3390/v14091898
    The increasing number of HIV-infected people who are receiving ART, including those with low adherence, is causing the spread of HIV drug resistance (DR). A total of 1396 plasma samples obtained from treatment-experienced patients from the Volga federal district (VFD), Russia, were examined to investigate HIV DR occurrence. The time periods 2008−2015 and 2016−2019 were compared. Fragmentary Sanger sequencing was employed to identify HIV resistance to reverse transcriptase inhibitors (RTIs) and protease inhibitors (PIs) using an ABI 3500XL genetic analyzer, a ViroSeq™ HIV-1 genotyping system (Alameda, CA, USA) and AmpliSense HIV-Resist-Seq reagent kits (Moscow, Russia). In 2016−2019, HIV DR was detected significantly more often than in 2008−2015 (p < 0.01). Mutations to RTIs retained leading positions in the structure of DR. Frequencies of resistance mutations to nucleoside and non-nucleoside RTIs (NRTIs and NNRTIs) in the spectra of detected mutations show no significant differences. Resistance to NRTIs after 2016 began to be registered more often as a part of multidrug resistance (MDR), as opposed to resistance to a single class of antiretrovirals. The frequency of DR mutations to PIs was low, both before and after 2016 (7.9% and 6.1% in the spectrum, respectively, p > 0.05). MDR registration rate became significantly higher from 2008 to 2019 (17.1% to 72.7% of patients, respectively, p < 0.01). M184V was the dominant replacement in all the years of study. A significant increase in the frequency of K65R replacement was revealed. The prevalence of integrase strand transfer inhibitor (INSTI) resistance mutations remains to be investigated.
    Matched MeSH terms: Genotype
  20. Villabona-Arenas CJ, Zanotto PM
    Infect Genet Evol, 2011 Jul;11(5):878-85.
    PMID: 21335103 DOI: 10.1016/j.meegid.2011.02.007
    Dengue virus type 4 (DENV-4) circulates in tropical and subtropical countries from Asia and the Americas. Despite the importance of dengue virus distribution, little is known about the worldwide viral spread. Following a Bayesian phylogenetic approach we inferred the evolutionary history of 310 isolates sampled from 37 countries during the time period 1956-2008 and the spreading dynamics for genotypes I and II. The region (tropical rainforest biome) comprised by Malaysia-Thailand was the most likely ancestral area from which the serotype has originated and spread. Interestingly, cross-correlation analysis on demographic time series with the Asian sequences showed a statistically significant negative correlation that could be suggestive of competition among genotypes within the same serotype.
    Matched MeSH terms: Genotype*
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