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1.
J Infect Dev Ctries ; 18(6): 900-908, 2024 Jun 30.
Article in English | MEDLINE | ID: mdl-38990990

ABSTRACT

INTRODUCTION: Vibrio parahaemolyticus is a common pathogen that can cause seafood-borne gastroenteritis in humans. We determined the prevalence and characteristics of V. parahaemolyticus isolated from clinical specimens and oysters in Thailand. METHODOLOGY: Isolates of V. parahaemolyticus from clinical specimens (n = 77) and oysters (n = 224) were identified by biochemical testing, polymerase chain reaction (PCR) assays, and serotyping. The toxin genes, antimicrobial resistance, and ß-lactamase production were determined. RESULTS: A total of 301 isolates were confirmed as V. parahaemolyticus by PCR using specific primers for the toxR gene. The majority of clinical isolates carried the tdh+/trh- genotype (82.1%), and one of each isolate was tdh-/trh+ and tdh+/trh+ genotypes. One isolate from oyster contained the tdh gene and another had the trh gene. Twenty-six serotypes were characterized among these isolates, and O3:K6 was the most common (37.7%), followed by OUT:KUT, and O4:K9. In 2010, most clinical and oyster isolates were susceptible to antibiotics, with the exception of ampicillin. In 2012, clinical isolates were not susceptible to cephalothin (52.4%), streptomycin (95.2%), amikacin (66.6%), kanamycin (61.9%), and erythromycin (95.2%), significantly more frequently than in 2010. More than 95% of isolates that were not susceptible to ampicillin produced ß-lactamase enzymes. CONCLUSIONS: We found toxin genes in two oyster isolates, and the clinical isolates that were initially determined to be resistant to several antibiotics. Toxin genes and antimicrobial susceptibility profiles of V. parahaemolyticus from seafood and environment should be continually monitored to determine the spread of toxin and antimicrobial resistance genes.


Subject(s)
Ostreidae , Vibrio Infections , Vibrio parahaemolyticus , Vibrio parahaemolyticus/genetics , Vibrio parahaemolyticus/isolation & purification , Vibrio parahaemolyticus/drug effects , Vibrio parahaemolyticus/classification , Thailand/epidemiology , Ostreidae/microbiology , Humans , Animals , Vibrio Infections/microbiology , Vibrio Infections/epidemiology , beta-Lactamases/genetics , Anti-Bacterial Agents/pharmacology , Microbial Sensitivity Tests , Serotyping , Polymerase Chain Reaction , Prevalence , Genotype , Drug Resistance, Bacterial/genetics , Bacterial Toxins/genetics , Male , Adult , Female , Middle Aged
2.
Biomed Rep ; 20(4): 64, 2024 Apr.
Article in English | MEDLINE | ID: mdl-38476605

ABSTRACT

Ameloblastoma (AM) is a prominent benign odontogenic tumor characterized by aggressiveness, likely originating from tooth-generating tissue or the dental follicle (DF). However, proteomic distinctions between AM and DF remain unclear. In the present study, the aim was to identify the distinction between AM and DF in terms of their proteome and to determine the associated hub genes. Shotgun proteomics was used to compare the proteomes of seven fresh-frozen AM tissues and five DF tissues. Differentially expressed proteins (DEPs) were quantified and subsequently analyzed through Gene Ontology-based functional analysis, protein-protein interaction (PPI) analysis and hub gene identification. Among 7,550 DEPs, 520 and 216 were exclusive to AM and DF, respectively. Significant biological pathways included histone H2A monoubiquitination and actin filament-based movement in AM, as well as pro-B cell differentiation in DF. According to PPI analysis, the top-ranked upregulated hub genes were ubiquitin C (UBC), breast cancer gene 1 (BRCA1), lymphocyte cell-specific protein-tyrosine kinase (LCK), Janus kinase 1 and ATR serine/threonine kinase, whereas the top-ranked downregulated hub genes were UBC, protein kinase, DNA-activated, catalytic subunit (PRKDC), V-Myc avian myelocytomatosis viral oncogene homolog (MYC), tumor protein P53 and P21 (RAC1) activated kinase 1. When combining upregulated and downregulated genes, UBC exhibited the highest degree and betweenness values, followed by MYC, BRCA1, PRKDC, embryonic lethal, abnormal vision, Drosophila, homolog-like 1, myosin heavy chain 9, amyloid beta precursor protein, telomeric repeat binding factor 2, LCK and filamin A. In summary, these findings contributed to the knowledge on AM protein profiles, potentially aiding future research regarding AM etiopathogenesis and leading to AM prevention and treatment.

3.
Oral Dis ; 27(6): 1455-1467, 2021 Sep.
Article in English | MEDLINE | ID: mdl-33022811

ABSTRACT

OBJECTIVE: DNA methylation regulates the expression of various genes involved in tumorigenesis. Ameloblastoma is a benign odontogenic jaw tumor. It is locally aggressive with a high level of recurrence. A delay in treatment can lead to severe facial disfigurement. To the best of our knowledge, this is the first integrated analysis of DNA methylation and gene expression in ameloblastoma with the aim to identify genes that may be regulated by DNA methylation. MATERIALS AND METHODS: We used an Infinium MethylationEPIC array to measure genome-wide methylation and the Illumina HiSeq platform to obtain gene expression data in ameloblastoma tissues from five patients and dental follicles from three healthy subjects. An integration analysis was performed using City of Hope CpG Island Analysis Pipeline software. RESULTS: We identified 25,255 differentially methylated CpG sites and 17 differentially methylated CpG islands; six of the islands were negatively correlated with the expression of BAIAP2, DUSP6, FGFR2, FOXF2, NID2, and PAK6. Pyrosequencing and immunostaining techniques were further used to validate FGFR2, NID2, and PAK6. CONCLUSIONS: This analysis identifies a group of novel genes that may be regulated by DNA methylation and will possibly lead to new insights into the pathology and invasion mechanism of ameloblastoma.


Subject(s)
Ameloblastoma , DNA Methylation , Ameloblastoma/genetics , CpG Islands , Humans , Neoplasm Recurrence, Local , Pilot Projects
4.
Pathol Oncol Res ; 26(4): 2315-2325, 2020 Oct.
Article in English | MEDLINE | ID: mdl-32468250

ABSTRACT

This study aimed to determine the whole gene expression profiles and to ascertain potential biomarkers for 22 oral squamous cell carcinoma (OSCC) among Thai patients using the Illumina Human HT-12, V4.0 Expression BeadChip array. Result indicated 2,724 differential expressed genes composed of 1,560 up-regulated and 1,164 down-regulated genes (unpaired t-test, p-value <0.05; fold change ≥2.0 and ≤2.0). The top 9 up-regulated genes were validated in 39 OSCC cases using TaqMan real-time quantitative reverse transcriptase polymerase chain reaction (qRT-PCR) assay. Among these, the up-regulation of peptidase inhibitor 3 (PI3) and keratin 17 (KRT17) genes was harbored in all 39 OSCC patients (100%). Likewise, statistical analysis indicated that gene expression in 8 selective genes including keratin 16 (KRT16), keratin 14 (KRT14), keratinocyte differentiation-associated protein (KRTDAP), keratin 6B (KRT6B), PI3, S100 calcium binding protein A7 (S100A7), stratifin (SFN) and keratin 5 (KRT5) was significantly associated with well differentiated OSCC (p-value <0.05). Moreover, high level of KRT17 protein was significantly associated with well differentiated OSCC compared to moderately OSCC (p-value = 0.041). Notably, using nested-PCR analysis indicated all OSCC cases in this study were HPV-free. Especially, KRTDAP, PI3, SFN mRNA expression were first reported among patients with OSCC. Conclusion, the whole transcript expression study and TaqMan real-time qRT-PCR assay were relevant regarding the increase in gene expression in OSCC. In addition, the up-regulation of PI3 and KRT17 might constitute potential candidate molecular biomarkers to diagnose patients with OSCC.


Subject(s)
Biomarkers, Tumor/genetics , Carcinoma, Squamous Cell/pathology , Gene Expression Profiling/methods , Mouth Neoplasms/pathology , Carcinoma, Squamous Cell/genetics , Carcinoma, Squamous Cell/surgery , Female , Follow-Up Studies , Humans , Male , Middle Aged , Mouth Neoplasms/genetics , Mouth Neoplasms/surgery , Prognosis , Survival Rate
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