Submissions should be made via our electronic submission system at http://ees.elsevier.com/ thelancet/
Zika virus (ZIKV) infection has been associated with neurologic disorders including Guillain-Barré syndrome (GBS). In New Caledonia during the ZIKV outbreak (2014-2015), case-control and retrospective studies have been performed to assess the link between ZIKV and GBS. Among the 15 cases included, 33% had evidence of a recent ZIKV infection compared to only 3.3% in the 30 controls involved. All patients were Melanesian, had facial diplegia and similar neurophysiological pattern consistent with acute inflammatory demyelinating polyneuropathy, and recovered well. Furthermore, during the peak of ZIKV transmission, we observed a number of GBS cases higher than the calculated upper limit, emphasizing the fact that ZIKV is now a major trigger of GBS.
Treatment of HIV infection with highly active antiretroviral therapy can induce metabolic complications and increase the risk of developing the metabolic syndrome (MS). The purpose of this study was to report the prevalence and the risk factors for MS in HIV-infected patients who started highly active antiretroviral therapy (HAART) after 2000. SYMET is a prospective, multicentric, cohort study evaluating the prevalence of MS in 269 patients who had received continuous HAART for 1 to 4 years up to September 2007. MS was defined according to the American Heart Association (AHA) and the National Heart, Lung, and Blood Institute (NHLBI) 2005 criteria. Cross-sectional assessment included clinical examination and fasting evaluation of metabolic, inflammatory, and oxidative parameters. Data were analyzed with Chi-square, Student, or Wilcoxon tests. Univariate and multivariate logistic regressions were performed to identify predictive factors for MS. The prevalence of MS was 18.2% after a median duration of HAART of 29.8 months. In multivariate analysis, predictive factors of MS were high non-HDL-cholesterol (OR=1.87; p<0.0001), high-sensitivity C-reactive protein levels (hsCRP) (OR=1.56; p=0.01), coinfection with hepatitis C virus (HCV) (OR=5.67; p=0.02), as well as age (OR=1.04; p=0.02) and duration of exposure to protease inhibitors (PI) (OR=1.03; p=0.02) or to abacavir (ABC) (OR=1.03; p=0.02). In this cohort of patients exposed to less than 4 years of HAART, MS prevalence was 18.2%. Older age, high hsCRP, HCV coinfection, and elevated non-HDL-cholesterol were risk factors for the MS. There was also a moderate significant association of increased risk of MS with cumulative PI and ABC exposure.
Nasal and pharyngeal swabs were collected from 132 patients admitted to the Principal Hospital in Dakar (Senegal), in January and February 2012. The prevalence of Staphylococcus aureus carriage was 56.1% (n = 74): 40.2% for pharyngeal samples and 36.4% for nasal samples. None of the isolates was methicillin-resistant. Carriage was independently associated with being female (p <0.01) and large households (≥15 members) (p 0.04). The luk-PV genes encoding Panton-Valentine leukocidin (PVL) were present in 26.2% of the isolates. These data highlight the importance of the oropharynx as a site of colonization, and the high prevalence of PVL-positive isolates in Senegal as compared with industrialized countries.
Nucleic acid testing during the preseroconversion viremic phase is required to differentially diagnose arboviral infections. The continuing emergence of arboviruses, such as Zika virus (ZIKV), dengue virus (DENV), and chikungunya virus (CHIKV), necessitates the development of a flexible diagnostic approach. Similar clinical signs and the priority to protect pregnant women from ZIKV infection indicate that the differential diagnosis of arboviruses is essential for effective patient management, clinical care, and epidemiologic surveillance. We describe an innovative diagnostic approach that combines generic RT-PCR amplification and identification by hybridization to specific probes. Original tetrathiolated probes were designed for the robust, sensitive, and specific detection of amplified arboviral genomes. The limit of detection using cultured and quantified stocks of whole viruses was 1 TCID 50 /mL for DENV-1, DENV-3, and CHIKV and 10 TCID 50 /mL for DENV-2, DENV-4, and ZIKV. The assay had 100% specificity with no false-positive results. The approach was evaluated using 179 human samples that previously tested as positive for the presence of ZIKV, DENV, or CHIKV genomes. Accordingly, the diagnostic sensitivity for ZIKV, DENV, and CHIKV was 87.88% (n Z 58/66), 96.67% (n Z 58/60), and 94.34% (n Z 50/53), respectively. This method could be easily adapted to include additional molecular targets. Moreover, this approach may also be adapted to develop highly specific, sensitive, and easy to handle platforms dedicated to the multiplex screening and identification of emerging viruses.
Compared to the previous 2013–2014 outbreak, dengue 2016–2017 outbreak in New Caledonia was characterized by an increased number of severe forms associated with hepatic presentations. In this study, we assessed the virological factors associated with this enhanced severity. Whole-genome sequences were retrieved from dengue virus (DENV)-1 strains collected in 2013–2014 and from severe and non-severe patients in 2016–2017. Fitness, hepatic tropism and cytopathogenicity of DENV 2016–2017 strains were compared to those of 2013–2014 strains using replication kinetics in the human hepatic cell line HuH7. Whole-genome sequencing identified four amino acid substitutions specific to 2016–2017 strains and absent from 2013–2014 strains. Three of these mutations occurred in predicted T cell epitopes, among which one was also a B cell epitope. Strains retrieved from severe forms did not exhibit specific genetic features. DENV strains from 2016–2017 exhibited a trend towards reduced replicative fitness and cytopathogenicity in vitro compared to strains from 2013–2014. Overall, the 2016–2017 dengue outbreak in New Caledonia was associated with a viral genetic evolution which had limited impact on DENV hepatic tropism and cytopathogenicity. These mutations, however, may have modified DENV strains antigenicity, altering the anti-DENV immune response in some patients, in turn favoring the development of severe forms. Trial registration: .
The increase in carbapenem-resistant Enterobacterales (CRE) is mostly driven by the spread of carbapenemase-producing (CP) strains. In New Caledonia, the majority of carbapenemases found are IMP-type carbapenemases that are difficult to detect on routine selective media. In this study, a culture-based method with ertapenem selection is proposed to distinguish non-CRE, non-CP-CRE, and CP-CRE from samples with very high bacterial loads. Firstly, assays were carried out with phenotypically well-characterized β-lactam-resistant Enterobacterales isolates. Then, this approach was applied to clinical and environmental samples. Presumptive CP-CRE isolates were finally identified, and the presence of a carbapenemase was assessed. In a collection of 27 phenotypically well-characterized β-lactam-resistant Enterobacterales, an ertapenem concentration of 0.5 µg.mL−1 allowed distinguishing CRE from non-CRE. A concentration of 4 µg.mL−1 allowed distinguishing CP-CRE from non-CP-CRE after nine hours of incubation. These methods allowed isolating 18 CP-CRE from hospital effluents, including the first detection of a KPC in New Caledonia. All these elements show that this cost-effective strategy to distinguish β-lactam-resistant Enterobacterales provides fast and reliable results. This could be applied in the Pacific islands or other resource-limited settings, where limited data are available.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.