The aim of this study was to investigate HIV-1 molecular diversity and the epidemiological profile of HIV-1-infected patients from Ribeirão Preto, Brazil. A nested PCR followed by sequencing of a 302-base pair fragment of the env gene (C2-V3 region) was performed in samples from HIV-1-positive patients. A total of 45 sequences were aligned with final manual adjustments. The phylogenetic analyses showed a higher prevalence of HIV-1 subtype B in the studied population (97.8%) with only one sample yielding an F1 subtype. The viral genotyping prediction showed that CCR5 tropism was the most prevalent in the studied cohort. Geno2pheno analysis showed that R5 and CXCR4 prediction were 69% and 31%, respectively. There was no statistical significance, either in viral load or in CD4(+) T cell count when R5 and X4 prediction groups were compared. Moreover, the GPGR tetramer was the most common V3 loop core motif identified in the HIV-1 strains studied (34.1%) followed by GWGR, identified in 18.1% of the samples. The high level of B subtype in this Brazilian population reinforces the nature of the HIV epidemic in Brazil, and corroborates previous data obtained in the Brazilian HIV-infected population.
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http://dx.doi.org/10.1089/AID.2010.0266 | DOI Listing |
Clin Rev Allergy Immunol
January 2025
Postgraduate Program in Biochemistry, Federal University of Espírito Santo (UFES), Vitória, Espírito Santo, Brazil.
Asthma is a complex disease with varied clinical manifestations resulting from the interaction between environmental and genetic factors. While chronic airway inflammation and hyperresponsiveness are central features, the etiology of asthma is multifaceted, leading to a diversity of phenotypes and endotypes. Although most research into the genetics of asthma focused on the analysis of single nucleotide polymorphisms (SNPs), studies highlight the importance of structural variations, such as copy number variations (CNVs), in the inheritance of complex characteristics, but their role has not yet been fully elucidated in asthma.
View Article and Find Full Text PDFAging (Albany NY)
January 2025
Department of Public Health Sciences, University of Chicago, Chicago, IL 60615, USA.
Background: DNA methylation (DNAm) data from human samples has been leveraged to develop "epigenetic clock" algorithms that predict age and other aging-related phenotypes. Some DNAm clocks were trained using DNAm obtained from blood cells, while other clocks were trained using data from diverse tissue/cell types. To assess how DNAm clocks perform across non-blood tissue types, we applied DNAm algorithms to DNAm data generated from 9 different human tissue types.
View Article and Find Full Text PDFEur J Clin Microbiol Infect Dis
January 2025
Department of Epidemiology, School of Public Health, Shanxi Medical University, 56, Xinjian Nan Road, Taiyuan, 030001, China.
Background: High-risk human papillomavirus (HR-HPV) infection is the primary cause of cervical cancer and precancerous lesions. Approximately 35% of women with low-grade cervical intraepithelial neoplasia (CIN1) may experience persistence or progression to high-grade lesions. Yet, the dynamic characteristics of HR-HPV infection in women with CIN1 remain unclear.
View Article and Find Full Text PDFBMC Infect Dis
January 2025
Department of Clinical Laboratory, Key Laboratory of Clinical Laboratory Medicine of Guangxi Department of Education, the First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Background: In clinical practice, the emergence of ST11-K64 carbapenem-resistant Klebsiella pneumoniae (ST11-K64 CRKP) has become increasingly alarming. Despite this trend, limited research has been conducted to elucidate the clinical and molecular characteristics of these strains.
Objectives: This study aimed to comprehensively investigate the clinical characteristics, antimicrobial resistance patterns, resistance and virulence-associated genes, and molecular epidemiology of ST11-K64 CRKP in Southwest China.
Forensic Sci Int Genet
December 2024
CHU Lille, Unité Fonctionnelle de Toxicologie, Lille F-59000, France; Universite de Lille, ULR 4483 - IMPECS - IMPact de l'Environnement Chimique sur la Santé, Lille, France.
Genetic polymorphism can cause variation in tramadol (TR) pharmacokinetic characteristics and the expected clinical response. In forensic toxicology, the data about parent and metabolite concentrations (MRs; metabolic ratios) could facilitate to determine the cause of death and to assess time between drug intake and death. In this study, the aim was to investigate if UGT1A8, UGT2B7, ABCC2, and SLC22A1 genotyping can facilitate interpretation by investigating the frequency of UGT1A8, UGT2B7, ABCC2, and SLC22A1 genotypes in forensic autopsy cases positive for TR and to assess whether there is a correlation between these genetic variants and MRs.
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