Coinfection with respiratory syncytial virus and rhinovirus increases IFN-λ1 and CXCL10 expression in human primary bronchial epithelial cells.

Acute respiratory tract infection (ARTI) is common in all age groups, especially in children and the elderly. About 85% of children who present with bronchiolitis are infected with respiratory syncytial virus (RSV); however, nearly one-third are coinfected with another respiratory virus, such as human rhinovirus (HRV). Therefore, it is necessary to explore the immune response to coinfection to better understand the molecular and cellular pathways involving virus-virus interactions that might be modulated by innate immunity and additional host cell response mechanisms. This study aims to investigate the host innate immune response against RSV-HRV coinfection compared with monoinfection. Human primary bronchial/tracheal epithelial cells (HPECs) were infected with RSV, HRV, or coinfected with both viruses, and the infected cells were collected at 48 and 72 hours. Gene expression profiles of IL-6, CCL5, TNF-α, IFN-ß, IFN-λ1, CXCL10, IL-10, IL-13, IRF3, and IRF7 were investigated using real-time quantitative PCR, which revealed that RSV-infected cells exhibited increased expression of IL-10, whereas HRV infection increased the expression of CXCL10, IL-10, and CCL5. IFN-λ1 and CXCL10 expression was significantly different between the coinfection and monoinfection groups. In conclusion, our study revealed that two important cytokines, IFN-λ1 and CXCL10, exhibited increased expression during coinfection.

Antibiotic susceptibility of clinical Burkholderia pseudomallei isolates in northeast Thailand during 2015-2018 and the genomic characterization of ß-lactam-resistant isolates.

Melioidosis is an often fatal infection in tropical regions caused by an environmental bacterium, Burkholderia pseudomallei Current recommended melioidosis treatment requires intravenous ß-lactam antibiotics such as ceftazidime (CAZ), meropenem (MEM) or amoxicillin-clavulanic acid (AMC) and oral trimethoprim-sulfamethoxazole. Emerging antibiotic resistance could lead to therapy failure and high mortality. We performed a prospective multicentre study in northeast Thailand during 2015-2018 to evaluate antibiotic susceptibility and characterize ß-lactam resistance in clinical B. pseudomallei isolates. Collection of 1,317 B. pseudomallei isolates from patients with primary and relapse infections were evaluated for susceptibility to CAZ, imipenem (IPM), MEM and AMC. ß-lactam resistant isolates were confirmed by broth microdilution method and characterized by whole genome sequence analysis, penA expression and ß-lactamase activity. The resistant phenotype was verified via penA mutagenesis. All primary isolates were IPM-susceptible but we observed two CAZ-resistant and one CAZ-intermediate resistant isolates, two MEM-less susceptible isolates, one AMC-resistant and two AMC-intermediate resistant isolates. One of 13 relapse isolates was resistant to both CAZ and AMC. Two isolates were MEM-less susceptible. Strains DR10212A (primary) and DR50054E (relapse) were multi-drug resistant. Genomic and mutagenesis analyses supplemented with gene expression and ß-lactamase analyses demonstrated that CAZ-resistant phenotype was caused by PenA variants: P167S (N=2) and penA amplification (N=1). Despite the high mortality rate in melioidosis, our study revealed that B. pseudomallei isolates had a low frequency of ß-lactam resistance caused by penA alterations. Clinical data suggest that resistant variants may emerge in patients during antibiotic therapy and be associated with poor response to treatment.

Gastrointestinal microbiota profile and clinical correlations in advanced EGFR-WT and EGFR-mutant non-small cell lung cancer.

INTRODUCTION: Difference in clinical responses to cancer therapy in each patient is from several factors. Gastrointestinal microbiota is one of the reasons. However, this correlation remains unknown. This study aims to explore correlation between gastrointestinal microbiota profile and clinical outcomes in Thai advanced non-small cell lung cancer (NSCLC) according to epidermal growth factor receptor (EGFR) status. METHODS: We enrolled 13 patients with advanced EGFR-wild-type (WT) NSCLC who received chemotherapy and 15 patients with EGFR-mutant NSCLC who received EGFR tyrosine kinase inhibitors. We collected fecal samples at baseline and first disease evaluation and performed 16S rRNA gene sequencing by NGS to assess microbiota profile. The correlations between gastrointestinal microbiota and clinical variables were studied. RESULTS: The clinical characteristics were balanced between the cohorts, excluding significantly higher albumin levels in the EGFR-mutant group. Albumin was the only significant clinical factor affecting the treatment response in multivariate analysis (ORR 15.6%, P = 0.03). Proteobacteria counts were higher in the EGFR-WT group, whereas Bacteroidetes and Firmicutes counts were higher in the EGFR-mutant group. The alpha diversity of the gastrointestinal microbiome was significantly higher in the EGFR-mutant group (Shannon index: 3.82 vs. 3.25, P = 0.022). Following treatment, Proteobacteria counts were lower and Bacteroidetes and Firmicutes counts were higher in both cohorts; the changes were more prominent in the EGFR-WT cohort. No significant correlation between microbiota profile and treatment response were demonstrated in our study. However, beta diversity was significantly different according to severity of adverse events. Enrichment of Clostridia and Bacteroidia was associated with higher adverse event risk in the EGFR-WT cohort. CONCLUSIONS: Proteobacteria was dominant in Thai lung cancer patients both EGFR-WT and EGFR-mutant, and this phylum maybe associate with lung cancer carcinogenesis. Chemotherapy altered the gastrointestinal microbiota, whereas EGFR-TKIs had less effects. Our findings highlight the potential predictive utility of the gastrointestinal microbiota for lung cancer carcinogenesis. Studies with larger cohorts and comparison with the healthy Thai population are ongoing to validate this pilot study.

Identification and functional validation of novel pharmacogenomic variants using a next-generation sequencing-based approach for clinical pharmacogenomics.

Inter-individual variability in pharmacokinetics and drug response is heavily influenced by single-nucleotide variants (SNVs) and copy-number variations (CNVs) in genes with importance for drug disposition. Nowadays, a plethora of studies implement next generation sequencing to capture rare and novel pharmacogenomic (PGx) variants that influence drug response. To address these issues, we present a comprehensive end-to-end analysis workflow, beginning from targeted PGx panel re-sequencing to in silico analysis pipelines and in vitro validation assays. Specifically, we show that novel pharmacogenetic missense variants that are predicted or putatively predicted to be functionally deleterious, significantly alter protein activity levels of CYP2D6 and CYP2C19 proteins. We further demonstrate that variant priorization pipelines tailored with functional in vitro validation assays provide supporting evidence for the deleterious effect of novel PGx variants. The proposed workflow could provide the basis for integrating next-generation sequencing for PGx testing into routine clinical practice.

Whole genome sequencing identifies genetic variants associated with co-trimoxazole hypersensitivity in Asians.

BACKGROUND: Co-trimoxazole, a sulfonamide antibiotic, is used to treat a variety of infections worldwide, and it remains a common first-line medicine for prophylaxis against Pneumocystis jiroveci pneumonia. However, it can cause severe cutaneous adverse reaction (SCAR), including Stevens-Johnson syndrome, toxic epidermal necrolysis, and drug reaction with eosinophilia and systemic symptoms. The pathomechanism of co-trimoxazole-induced SCAR remains unclear. OBJECTIVE: We aimed to investigate the genetic predisposition of co-trimoxazole-induced SCAR. METHODS: We conducted a multicountry case-control association study that included 151 patients with of co-trimoxazole-induced SCAR and 4631 population controls from Taiwan, Thailand, and Malaysia, as well as 138 tolerant controls from Taiwan. Whole-genome sequencing was performed for the patients and population controls from Taiwan; it further validated the results from Thailand and Malaysia. RESULTS: The whole-genome sequencing study (43 case patients vs 507 controls) discovered that the single-nucleotide polymorphism rs41554616, which is located between the HLA-B and MICA loci, had the strongest association with co-trimoxazole-induced SCAR (P = 8.2 × 10-9; odds ratio [OR] = 7.7). There were weak associations of variants in co-trimoxazole-related metabolizing enzymes (CYP2D6, GSTP1, GCLC, N-acetyltransferase [NAT2], and CYP2C8). A replication study using HLA genotyping revealed that HLA-B∗13:01 was strongly associated with co-trimoxazole-induced SCAR (the combined sample comprised 91 case patients vs 2545 controls [P = 7.2 × 10-21; OR = 8.7]). A strong HLA association was also observed in the case patients from Thailand (P = 3.2 × 10-5; OR = 3.6) and Malaysia (P = .002; OR = 12.8), respectively. A meta-analysis and phenotype stratification study further indicated a strong association between HLA-B∗13:01 and co-trimoxazole-induced drug reaction with eosinophilia and systemic symptoms (P = 4.2 × 10-23; OR = 40.1). CONCLUSION: This study identified HLA-B∗13:01 as an important genetic factor associated with co-trimoxazole-induced SCAR in Asians.

Drug-Induced Stevens-Johnson Syndrome and Toxic Epidermal Necrolysis Call for Optimum Patient Stratification and Theranostics via Pharmacogenomics.

The Global Genomic Medicine Collaborative, a multinational coalition of genomic and policy experts working to implement genomics in clinical care, considers pharmacogenomics to be among the first areas in genomic medicine that can provide guidance in routine clinical practice, by linking genetic variation and drug response. Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are severe life-threatening reactions to medications with a high incidence worldwide. Genomic screening prior to drug administration is a key opportunity and potential paradigm for using genomic medicine to reduce morbidity and mortality and ultimately eliminate one of the most devastating adverse drug reactions. This review focuses on the current understanding of the surveillance, pathogenesis, and treatment of SJS/TEN, including the role of genomics and pharmacogenomics in the etiology, treatment, and eradication of preventable causes of drug-induced SJS/TEN. Gaps, unmet needs, and priorities for future research have been identified for the optimal management of drug-induced SJS/TEN in various ethnic populations. Pharmacogenomics holds great promise for optimal patient stratification and theranostics, yet its clinical implementation needs to be cost-effective and sustainable.

Comparison of different hypervariable regions of 16S rRNA for taxonomic profiling of vaginal microbiota using next-generation sequencing.

The exploration of vaginal microbiota by using next-generation sequencing (NGS) of 16S ribosomal RNA (rRNA) gene is widely used. Up to now, different hypervariable regions have been selected to study vaginal microbiota by NGS and there is no standard method for analysis. The study aimed to characterize vaginal microbiota from clinical samples using NGS targeting the 16S rRNA gene and to determine the performance of individual and concatenated hypervariable region sequences to generate the taxonomic profiles of the vaginal microbiota. Fifty-one vaginal DNA samples were subjected to 16S rRNA gene NGS based on the Ion Torrent PGM platform with the use of two primer sets spanning seven hypervariable regions of the 16S rRNA gene. Our analysis revealed that the predominant bacterial genera were Lactobacillus, Gardnerella and Atopobium, which accounted for 78%, 14% and 2%, respectively, of sequences from all vaginal bacterial genera. At the species level, Lactobacillus iners, Gardnerella vaginalis and Atopobium vaginae accounted for 72%, 10% and 6%, respectively, of the bacterial cells present. Analyses using the V3 region generally indicated the highest bacterial diversity followed by the V6-V7 and V4 regions, while the V9 region gave the lowest bacterial resolution. NGS based on the 16S rRNA gene can give comprehensive estimates of the diversity of vaginal bacterial communities. Selection of sequences from appropriate hypervariable regions is necessary to provide reliable information on bacterial community diversity.

Discrepancies and similarities in the genome-informed guidance for psychiatric disorders amongst different regulatory bodies and research consortia using next generation sequencing-based clinical pharmacogenomics data.

Undoubtedly, pharmacogenomics (PGx) aims in optimizing drug treatment responses whilst also improving the patients' quality of life, either via a reduction of adverse drug reactions and/or an enhancement of drug treatment efficacy. To achieve this, PGx guidance is provided by the two major regulatory bodies in a worldwide level, specifically the U.S. Food and Drug Administration (FDA) and the European Medicine Agency (EMA), and occasionally some research consortia, such as the Clinical Pharmacogenetics Implementation Consortium (CPIC) or the Dutch Pharmacogenomics Working Group (DPWG). However, so far, there is a limited number of studies focusing on the delineation of the similarities and more importantly, the discrepancies in the PGx guidance by the different regulatory bodies and consortia. Herein, we use real-life clinical PGx data to highlight such discrepancies and similarities for genome-guided interventions in psychiatric disorders, thus demonstrating the need for harmonization of the guidelines and recommendations. More precisely, we used the PharmCAT genome-informed drug treatment reports from 304 Greek individuals with psychiatric disorders in order to emphasize on the discrepancies in the PGx guidance/guidelines between FDA vs EMA and CPIC vs DPWG, respectively. For example, CYP2D6-pimozide pair is characterized as 'Testing Required' according to FDA and is accompanied by a DPWG PGx guideline, whilst no EMA or CPIC PGx guidance is found for this drug-gene pair. Moreover, discrepancies are observed regarding the type of PGx guidance for CYP2C19-doxepin pair, with 89 individuals from our study cohort requiring a dose prescribing change based on FDA, whilst only 5 individuals have to receive genome-guided treatment adjustment according to CPIC. To our knowledge, this is the first study, in which discrepancies regarding the type of PGx guidance and the number of actionable drug-gene pairs amongst FDA and EMA, as well as CPIC and DPWG, are brought to light with an emphasis on psychiatric disorders.

Performance of 6 HCV genotyping 9G test for HCV genotyping in clinical samples.

BACKGROUND: A treatment of HCV infection depends on the genotype and sub-genotype. Therefore, accurate HCV genotyping is critical for selecting the appropriate treatment regimen. METHOD: This study included 280 plasma samples to evaluate the performance of 6 HCV Genotyping 9G test. The performance of 6 HCV Genotyping 9G test for accurate detection of HCV 1a, 1b, 2, 3, 4, and 6 genotypes was evaluated by comparing it with LiPA 2.0 assay and sequencing. RESULTS: 6 HCV Genotyping 9G test and LiPA 2.0 assay demonstrated 83.9% (n = 235) agreement. 39/45 samples that showed discrepant results between the two tests were analyzed by sequencing. Sequencing genotyped 39 discrepant samples as 0 (HCV 1a), 24 (HCV 1b), 1 (HCV 6f), 12 (HCV 6i), and 2 (HCV-negative). Results of 6 HCV Genotyping 9G test were very similar to the sequencing as it detected 1, 23, 1, 12, and 2 samples as HCV 1a, 1b, 3 & 6a or 6f, 6i or 6n, and negative, respectively. However, LiPA 2.0 assay showed complete disagreement with sequencing, as it did not detect any of these 39 samples correctly. These results indicate that LiPA 2.0 assay has limitations in identifying HCV genotypes 1b, and 6. The sensitivity, specificity, PPV, and NPV of 6 HCV Genotyping 9G test were 99.5, 98.8, 99.5, and 98.8%, respectively. It is important to note that HCV Genotyping 9G test showed 98.3 and 100% sensitivity for HCV 1b and 6 genotyping, respectively. However, LiPA 2.0 assay demonstrated 57.9 and 71.7% sensitivity for these genotypes. CONCLUSIONS: 6 HCV Genotyping 9G test identifies HCV 1a, 1b, 2, 3, and 6 with good agreement with sequencing. Hence, 6 HCV Genotyping 9G test has a high clinical value because it can provide critical information to physicians and assist them to use the correct drug for efficient hepatitis C treatment.

First successful trial of preimplantation genetic diagnosis for pantothenate kinase-associated neurodegeneration.

PURPOSE: We aim to present a case of a healthy infant born after intracytoplasmic sperm injection-in vitro fertilization (ICSI-IVF) with a preimplantation genetic diagnosis (PGD) for pantothenate kinase-associated neurodegeneration (PKAN) due to PANK2 mutation. METHODS: ICSI-IVF was performed on a Thai couple, 34-year-old female and 33-year-old male, with a family history of PKAN in their first child. Following fertilization, each of the embryos were biopsied in the cleavage stage and subsequently processed for whole-genome amplification. Genetic status of the embryos was diagnosed by linkage analysis and direct mutation testing using primer extension-based mini-sequencing. Comprehensive chromosomal aneuploidy screening was performed using a next-generation sequencing-based strategy. RESULTS: Only a single cycle of ICSI-IVF was processed. There were seven embryos from this couple-two were likely affected, three were likely carriers, one was likely unaffected, and one failed in target genome amplification. Aneuploidy screening was performed before making a decision on embryo transfer, and only one unaffected embryo passed the screening. That embryo was transferred in a frozen thawed cycle, and the pregnancy was successful. The diagnosis was confirmed by amniocentesis, which presented with a result consistent with PGD. At 38 weeks of gestational age, a healthy male baby was born. Postnatal genetic confirmation was also consistent with PGD and the prenatal results. At the age of 24 months, the baby presented with normal growth and development lacking any neurological symptoms. CONCLUSIONS: We report the first successful trial of PGD for PKAN in a developing country using linkage analysis and mini-sequencing in cleavage stage embryos.

SURVEILLANCE OF HIV-1 DRUG-RESISTANCE MUTATIONS IN THAILAND FROM 1999 TO 2014.

Antiretroviral resistance has long been a serious problem in Thailand. In order to monitor developmental rate of mutations and its impact of the national policy, frequency of drug-resistance mutations in HIV-1 reverse transcriptase (RT) and protease (PR) were analyzed from 24,279 blood plasma samples collected from 1999 to 2014. HIV-1 drug resistance mutations were influenced by drugs that have been used widely as first-line regimens. M184I/V was the most common (53.1% prevalence) RT inhibitor (NRTI) mutation. Other NRTI-associated mutations increased dramatically after the Universal Coverage Scheme was launched in 2007, but declined on the whole after introduction of the Thai National Guidelines in 2010. However, non-NRTI-associated mutations increased between 1999 and 2007, but have remained constant since, with Y181I/C the most (31.4%) prevalent. PR drug-associated mutations (M36I/L/V, H69K/R and L89I/M/V) previously considered as CRF01_AE polymorphisms constituted > 90% prevalence in all samples. The launch of antiretroviral treatment influenced the pattern of mutations and the Universal Coverage Scheme also impacted the rate of development of resistance mutations on a national scale. Drug resistance trends in Thailand could be ascribed to drug regimens that have been used for over a decade. Results from this study can be used as indicators of the success of the Universal Coverage Scheme. Knowledge of the trend of HIV drug-resistance mutations, past and present, is essential in formulating an effective antiretroviral treatment strategy.

Comparison of genetic variation in drug ADME-related genes in Thais with Caucasian, African and Asian HapMap populations.

The objectives of this study are to investigate allele frequencies of drug absorption, distribution, metabolism and elimination (ADME)-related genes in the Thai population and to compare these genes to HapMap populations including Caucasians (CEU), Africans (YRI) and Asians (CHB/JPT). Genetic variations of drug ADME-related genes in 190 Thais were investigated using drug metabolizing enzymes and transporters (DMET) plus genotyping system. We examined 1936 single nucleotide polymorphisms (SNPs) of 225 genes that have documented functional and clinical significances in phase I and phase II drug metabolism enzymes, drug transporters and other genes involved in ADME processes. Distributions of genotyping data from Thai were compared with other HapMap populations including Caucasian, African and Asian populations. The analysis demonstrated 43 SNPs with statistical significance comparing among five populations. However, only 26 SNPs showed statistical significance in pair-wise comparisons between Thai versus CEU and Thai versus CHB/JPT. These 26 SNPs belong to 13 groups of drug ADME-related genes which are CYP2A6, CYP3A5, CYP2B6, CYP2C8, CYP2C9, CYP2C19, CYP2D6, VKORC1, COMT, NAT2, TPMT, UGT1A1 and SLCO1B1. These genes demonstrated clinical significances as previously observed in many studies. The results could explain clinical variability in pharmacokinetics and pharmacodynamics of drugs in Thais based on genetic variations in drug ADME-related gene emphasized in this article.

Success stories in genomic medicine from resource-limited countries.

In recent years, the translation of genomic discoveries into mainstream medical practice and public health has gained momentum, facilitated by the advent of new technologies. However, there are often major discrepancies in the pace of implementation of genomic medicine between developed and developing/resource-limited countries. The main reason does not only lie in the limitation of resources but also in the slow pace of adoption of the new findings and the poor understanding of the potential that this new discipline offers to rationalize medical diagnosis and treatment. Here, we present and critically discuss examples from the successful implementation of genomic medicine in resource-limited countries, focusing on pharmacogenomics, genome informatics, and public health genomics, emphasizing in the latter case genomic education, stakeholder analysis, and economics in pharmacogenomics. These examples can be considered as model cases and be readily replicated for the wide implementation of pharmacogenomics and genomic medicine in other resource-limited environments.

A robust model of natural hepatitis C infection using hepatocyte-like cells derived from human induced pluripotent stem cells as a long-term host.

BACKGROUND: Hepatitis C virus (HCV) could induce chronic liver diseases and hepatocellular carcinoma in human. The use of primary human hepatocyte as a viral host is restrained with the scarcity of tissue supply. A culture model restricted to HCV genotype 2a (JFH-1) has been established using Huh7-derived hepatocyte. Other genotypes including the wild-type virus could not propagate in Huh7, Huh7.5 and Huh7.5.1 cells. METHODS: Functional hepatocyte-like cells (HLCs) were developed from normal human iPS cells as a host for HCV infection. Mature HLCs were identified for selective hepatocyte markers, CYP450s, HCV associated receptors and HCV essential host factors. HLCs were either transfected with JFH-1 HCV RNA or infected with HCV particles derived from patient serum. The enhancing effect of α-tocopherol and the inhibitory effects of INF-α, ribavirin and sofosbuvir to HCV infection were studied. The HCV viral load and HCV RNA were assayed for the infection efficiency. RESULTS: The fully-developed HLCs expressed phase I, II, and III drug-metabolizing enzymes, HCV associated receptors (claudin-1, occludin, CD81, ApoE, ApoB, LDL-R) and HCV essential host factors (miR-122 and SEC14L2) comparable to the primary human hepatocyte. SEC14L2, an α-tocopherol transfer protein, was expressed in HLCs, but not in Huh7 cell, had been implicated in effective HCVser infection. The HLCs permitted not only the replication of HCV RNA, but also the production of HCV particles (HCVcc) released to the culture media. HLCs drove higher propagation of HCVcc derived from JFH-1 than did the classical host Huh7 cells. HLCs infected with either JFH-1 or wild-type HCV expressed HCV core antigen, NS5A, NS5B, NS3 and HCV negative-stand RNA. HLCs allowed entire HCV life cycle derived from either JFH-1, HCVcc or wild-type HCV (genotype 1a, 1b, 3a, 3b, 6f and 6n). Further increasing the HCVser infection in HLCs was achieved by incubating cell with α-tocopherol. The supernatant from infected HLCs could infect both naïve HLC and Huh7 cell. Treating infected HLC with INF-α and ribavirin decreased HCV RNA in both the cellular fraction and the culture medium. The HLCs reacted to HCVcc or wild-type HCV infection by upregulating TNF-α, IL-28B and IL-29. CONCLUSIONS: This robust cell culture model for serum-derived HCV using HLCs as host cells provides a remarkable system for investigating HCV life cycle, HCV-associated hepatocellular carcinoma development and the screening for new anti HCV drugs.

Listeria monocytogenes MerR-Like Regulator NmlRlm: Its Transcriptome and Role in Stress Response.

NmlR, a negative transcription regulator in the MerR family, is involved in oxidative and nitrosative stress response in Neisseria gonorrhoeae and Haemophilus influenzae. In this study, the objective was to characterize the role and the regulon of NmlR in the foodborne Listeria monocytogenes. An L. monocytogenes nmlR null mutant strain was constructed. Transcriptomes of strain 10403S wild type (WT) and ΔnmlRlm strains grown to the stationary phase were determined by mRNA sequencing. Differential expression analyses revealed 74 genes with altered expression levels (>9-fold difference), comprising 46 negatively and 28 positively regulated genes. Twenty-four NmlRlm-dependent genes overlap with the members of previously identified regulons of HrcA, a negative regulator of heat response in L. monocytogenes, and of alternative sigma factor σ(H). Phenotypic characterization revealed that the ΔnmlRlm strain survived significantly less than the WT under acid stress (pH 2.5 for 1 h) and oxidative stress (3% hydrogen peroxide for 1 h). In addition, nmlRlm deletion also resulted in a significant decrease (p < 0.0005) of cell length and enhanced intracellular growth in a differentiated macrophage-like U937 cell line during entry into stationary phase. These findings indicate that NmlRlm is not only involved in oxidative stress response but also contributes to other characteristics such as acid tolerance and intracellular growth, either through direct regulation or co-regulation with other regulators such as HrcA and σ(H).

FIRST IDENTIFICATION OF HEMOGLOBIN LANSINGRAMATHIBODI [α87(F8)His → Gln; CAC>CAG (HBA1: c.264C>G)] IN A THAI FAMILY WITH SPURIOUS HYPOXEMIA.

We report, for the first time, hemoglobin (Hb) Lansing-Ramathibodi [α87(F8)His → Gln; CAC>CAG (HBA1: c.264C>G)] in four members of a Thai family presented with low measured oxygen saturation by pulse oximetry (SpO2), with discrepancy between low SpO2 and normal calculated oxygen saturation by arterial blood gas analysis, and no cyanosis or methemoglobinemia. The causative mutation is located in HBA1 whereas in previous reports of Hb Lansing the mutation is on HBA2, including that in a Japanese individual. The index and a male sibling also co-inherited Hb Pakse, a non-deletional α-thalassemia 2, resulting in mild reticulocytosis. Correct Hb identification is crucial for genetic counselling and, thereby, avoiding unnecessary investigation and treatment for spurious hypoxemia.

Comparison of a simple-probe real-time PCR and multiplex PCR techniques for HPA-1 to HPA-6 and HPA-15 genotyping.

BACKGROUND: We aimed to compare HPA-1 to HPA-6 and HPA-15 genotyping results obtained by a simple-probe real-time polymerase chain reaction (PCR) technique with the multiplex PCR technique. METHODS: Five hundred DNA samples from the Thai National Stem Cell Donor Registry (TSCDR) of the National Blood Centre, Thai Red Cross Society were included. Human platelet antigen (HPA) genotyping was performed by simple-probe real-time PCR and multiplex PCR techniques. RESULTS: HPA-1, HPA-2, HPA-3, and HPA-4 genotyping results obtained by both techniques were in agreement. The misinterpretation of HPA-5, HPA-6, and HPA-15 genotypes was found in eight samples by simple-probe real-time PCR and HPA genotypes were confirmed by DNA sequencing. Two samples of HPA-5 were misinterpreted as HPA-5a5a instead of HPA-5a5b due to an NM_002203.3:c.1594A>C mutation (rs199808499) near the HPA-5 polymorphism (5' side). Five samples of HPA-6a6b were misinterpreted as HPA-6b6b because of an NM_000212.2:c.1545G>A mutation (rs4634) adjacent to the HPA-6 polymorphism (3' side). Interestingly, one sample of HPA-15a15b was misinterpreted as HPA-15b15b due to an NM_133493.1:c.2118C>A mutation near the HPA-15 polymorphism (3' side). CONCLUSIONS: HPA genotyping results by two PCR techniques were compared. Incorrect assignments were found due to genetic variations near each HPA single nucleotide polymorphism. Therefore, to avoid false assignation, the use of two genotyping techniques is recommended.

Novel genetic variants of HLA gene associated with Thai Behcet's disease (BD) patients using next generation sequencing technology.

Behçet's disease (BD) manifests as an autoimmune disorder featuring recurrent ulcers and multi-organ involvement, influenced by genetic factors associated with both HLA and non-HLA genes, including TNF-α and ERAP1. The study investigated the susceptible alleles of both Class I and II molecules of the HLA gene in 56 Thai BD patients and 192 healthy controls through next-generation sequencing using a PacBio kit. The study assessed 56 BD patients, primarily females (58.9%), revealing diverse manifestations including ocular (41.1%), vascular (35.7%), skin (55.4%), CNS (5.4%), and GI system (10.7%) involvement. This study found associations between BD and HLA-A*26:01:01 (OR 3.285, 95% CI 1.135-9.504, P-value 0.028), HLA-B*39:01:01 (OR 6.176, 95% CI 1.428-26.712, P-value 0.015), HLA-B*51:01:01 (OR 3.033, 95% CI 1.135-8.103, P-value 0.027), HLA-B*51:01:02 (OR 6.176, 95% CI 1.428-26.712, P-value 0.015), HLA-C*14:02:01 (OR 3.485, 95% CI 1.339-9.065, P-value 0.01), HLA-DRB1*14:54:01 (OR 1.924, 95% CI 1.051-3.522, P-value 0.034), and HLA-DQB1*05:03:01 (OR 3.00, 95% CI 1.323-6.798, P-value 0.008). However, after Bonferroni correction none of these alleles were found to be associated with BD. In haplotype analysis, we found a strong linkage disequilibrium in HLA-B*51:01:01, HLA-C*14:02:01 (P-value 0.0, Pc-value 0.02). Regarding the phenotype, a significant association was found between HLA-DRB1*14:54:01 (OR 11.67, 95% CI 2.86-47.57, P-value 0.001) and BD with ocular involvement, apart from this, no distinct phenotype-HLA association was documented. In summary, our study identifies specific HLA associations in BD. Although limited by a small sample size, we acknowledge the need for further investigation into HLA relationships with CNS, GI, and neurological phenotypes in the Thai population.

Genetic diversity, determinants, and dissemination of Burkholderia pseudomallei lineages implicated in melioidosis in Northeast Thailand.

Melioidosis is an often-fatal neglected tropical disease caused by an environmental bacterium Burkholderia pseudomallei. However, our understanding of the disease-causing bacterial lineages, their dissemination, and adaptive mechanisms remains limited. To address this, we conduct a comprehensive genomic analysis of 1,391 B. pseudomallei isolates collected from nine hospitals in northeast Thailand between 2015 and 2018, and contemporaneous isolates from neighbouring countries, representing the most densely sampled collection to date. Our study identifies three dominant lineages, each with unique gene sets potentially enhancing bacterial fitness in the environment. We find that recombination drives lineage-specific gene flow. Transcriptome analyses of representative clinical isolates from each dominant lineage reveal increased expression of lineage-specific genes under environmental conditions in two out of three lineages. This underscores the potential importance of environmental persistence for these dominant lineages. The study also highlights the influence of environmental factors such as terrain slope, altitude, and river direction on the geographical dispersal of B. pseudomallei. Collectively, our findings suggest that environmental persistence may play a role in facilitating the spread of B. pseudomallei, and as a prerequisite for exposure and infection, thereby providing useful insights for informing melioidosis prevention and control strategies.

A comprehensive Thai pharmacogenomics database (TPGxD-1): Phenotype prediction and variants identification in 942 whole-genome sequencing data.

Computational methods analyze genomic data to identify genetic variants linked to drug responses, thereby guiding personalized medicine. This study analyzed 942 whole-genome sequences from the Electricity Generating Authority of Thailand (EGAT) cohort to establish a population-specific pharmacogenomic database (TPGxD-1) in the Thai population. Sentieon (version 201808.08) implemented the GATK best workflow practice for variant calling. We then annotated variant call format (VCF) files using Golden Helix VarSeq 2.5.0 and employed Stargazer v2.0.2 for star allele analysis. The analysis of 63 very important pharmacogenes (VIPGx) reveals 85,566 variants, including 13,532 novel discoveries. Notably, we identified 464 known PGx variants and 275 clinically relevant novel variants. The phenotypic prediction of 15 VIPGx demonstrated a varied metabolic profile for the Thai population. Genes like CYP2C9 (9%), CYP3A5 (45.2%), CYP2B6 (9.4%), NUDT15 (15%), CYP2D6 (47%) and CYP2C19 (43%) showed a high number of intermediate metabolizers; CYP3A5 (41%), and CYP2C19 (9.9%) showed more poor metabolizers. CYP1A2 (52.7%) and CYP2B6 (7.6%) were found to have a higher number of ultra-metabolizers. The functional prediction of the remaining 10 VIPGx genes reveals a high frequency of decreased functional alleles in SULT1A1 (12%), NAT2 (84%), and G6PD (12%). SLCO1B1 reports 20% poor functional alleles, while PTGIS (42%), SLCO1B1 (4%), and TPMT (5.96%) showed increased functional alleles. This study discovered new variants and alleles in the 63 VIPGx genes among the Thai population, offering insights into advancing clinical pharmacogenomics (PGx). However, further validation is needed using other computational and genotyping methods.