A comparative analysis of HIV drug resistance interpretation based on short reverse transcriptase sequences versus full sequences

<p>Abstract</p> <p>Background</p> <p>As second-line antiretroviral treatment (ART) becomes more accessible in resource-limited settings (RLS), the need for more affordable monitoring tools such as point-of-care viral load assays and simplified genotypic HIV drug resistance (HIVDR) tests increases substantially. The prohibitive expenses of genotypic HIVDR assays could partly be addressed by focusing on a smaller region of the HIV reverse transcriptase gene (RT) that encompasses the majority of HIVDR mutations for people on ART in RLS. In this study, an <it>in silico </it>analysis of 125,329 RT sequences was performed to investigate the effect of submitting short RT sequences (codon 41 to 238) to the commonly used virco^®TYPE and Stanford genotype interpretation tools.</p> <p>Results</p> <p>Pair-wise comparisons between full-length and short RT sequences were performed. Additionally, a non-inferiority approach with a concordance limit of 95% and two-sided 95% confidence intervals was used to demonstrate concordance between HIVDR calls based on full-length and short RT sequences.</p> <p>The results of this analysis showed that HIVDR interpretations based on full-length versus short RT sequences, using the Stanford algorithms, had concordance significantly above 95%. When using the virco^®TYPE algorithm, similar concordance was demonstrated (>95%), but some differences were observed for d4T, AZT and TDF, where predictions were affected in more than 5% of the sequences. Most differences in interpretation, however, were due to shifts from fully susceptible to reduced susceptibility (d4T) or from reduced response to minimal response (AZT, TDF) or vice versa, as compared to the predicted full RT sequence. The virco^®TYPE prediction uses many more mutations outside the RT 41-238 amino acid domain, which significantly contribute to the HIVDR prediction for these 3 antiretroviral agents.</p> <p>Conclusions</p> <p>This study illustrates the acceptability of using a shortened RT sequences (codon 41-238) to obtain reliable genotype interpretations by virco^®TYPE and Stanford algorithms. Implementation of this simplified protocol could significantly reduce the cost of both resistance testing and ARV treatment monitoring in RLS.</p

Influence of reimbursement policies on phlebological surgical practice in Belgium between 2007 and 2017

BACKGROUND: To date, it is unclear how treatment of patients with chronic venous disease (CVD) is influenced by national reimbursement systems. In Belgium, catheters or fibers used for endovenous thermal ablation (EVTA) are reimbursed only once in a lifetime. The potential impact of the Belgian public health insurance reimbursement policy on surgical practice in phlebology needs to be investigated. METHODS: Billing data available from the Belgian National Institute for Health and Disability Insurance (NIHDI) were used for analyzing the distribution of specific surgical procedures for treating varicose veins and their relative use from 2007 to 2017. The potential influence of age, sex, social status and geographical origin of insured patients on surgical practice in Belgium were studied. RESULTS: The annual intervention rate was 343 per 100,000 insured individuals for 2017 with a slight annual increase over the period 2007-2017 (+ 0.83% per year). Patients with limited resources, benefiting from a preferential reimbursement system, had a significantly lower intervention rate than those having the usual system (P<0.001). There was a large geographical variation in the use of care, ranging from 172 to 549 per 100.000 insured in 2017. The number of classic surgical procedures decreased (-6.17% per year) in the period 2015-2017) while EVTA, newly reimbursed in Belgium since 2012, increased during the same period (+ 3.6% per year). This evolution was more pronounced in the north (Flanders) than in the south (Wallonia) of the country. Bilateral treatment increased considerably from 2012 and stabilized at 33% of all surgical interventions in 2016 and 2017. CONCLUSIONS: Available data of the NIHDI in Belgium highlight remarkable differences in the use of care for CVD, depending on social status and geographical origin of insured patients. The introduction of EVTA techniques has been adopted more rapidly in the north of the country and has led to an increased percentage of bilateral procedures

Myocarditis Elicits Dendritic Cell and Monocyte Infiltration in the Heart and Self-Antigen Presentation by Conventional Type 2 Dendritic Cells

Autoimmune myocarditis often leads to dilated cardiomyopathy (DCM). Although T cell reactivity to cardiac self-antigen is common in the disease, it is unknown which antigen presenting cell (APC) triggers autoimmunity. Experimental autoimmune myocarditis (EAM) was induced by immunizing mice with α-myosin loaded bone marrow APCs cultured in GM-CSF. APCs found in such cultures include conventional type 2 CD11b+ cDCs (GM-cDC2s) and monocyte-derived cells (GM-MCs). However, only α-myosin loaded GM-cDC2s could induce EAM. We also studied antigen presenting capacity of endogenous type 1 CD24+ cDCs (cDC1s), cDC2s, and MCs for α-myosin-specific TCR-transgenic TCR-M CD4+ T cells. After EAM induction, all cardiac APCs significantly increased and cDCs migrated to the heart-draining mediastinal lymph node (LN). Primarily cDC2s presented α-myosin to TCR-M cells and induced Th1/Th17 differentiation. Loss of IRF4 in Irf4fl/fl.Cd11cCre mice reduced MHCII expression on GM-cDC2s in vitro and cDC2 migration in vivo. However, partly defective cDC2 functions in Irf4fl/fl.Cd11cCre mice did not suppress EAM. MCs were the largest APC subset in the inflamed heart and produced pro-inflammatory cytokines. Targeting APC populations could be exploited in the design of new therapies for cardiac autoimmunity

Cross-validated stepwise regression for identification of novel non-nucleoside reverse transcriptase inhibitor resistance associated mutations

<p>Abstract</p> <p>Background</p> <p>Linear regression models are used to quantitatively predict drug resistance, the phenotype, from the HIV-1 viral genotype. As new antiretroviral drugs become available, new resistance pathways emerge and the number of resistance associated mutations continues to increase. To accurately identify which drug options are left, the main goal of the modeling has been to maximize predictivity and not interpretability. However, we originally selected linear regression as the preferred method for its transparency as opposed to other techniques such as neural networks. Here, we apply a method to lower the complexity of these phenotype prediction models using a 3-fold cross-validated selection of mutations.</p> <p>Results</p> <p>Compared to standard stepwise regression we were able to reduce the number of mutations in the reverse transcriptase (RT) inhibitor models as well as the number of interaction terms accounting for synergistic and antagonistic effects. This reduction in complexity was most significant for the non-nucleoside reverse transcriptase inhibitor (NNRTI) models, while maintaining prediction accuracy and retaining virtually all known resistance associated mutations as first order terms in the models. Furthermore, for etravirine (ETR) a better performance was seen on two years of unseen data. By analyzing the phenotype prediction models we identified a list of forty novel NNRTI mutations, putatively associated with resistance. The resistance association of novel variants at known NNRTI resistance positions: 100, 101, 181, 190, 221 and of mutations at positions not previously linked with NNRTI resistance: 102, 139, 219, 241, 376 and 382 was confirmed by phenotyping site-directed mutants.</p> <p>Conclusions</p> <p>We successfully identified and validated novel NNRTI resistance associated mutations by developing parsimonious resistance prediction models in which repeated cross-validation within the stepwise regression was applied. Our model selection technique is computationally feasible for large data sets and provides an approach to the continued identification of resistance-causing mutations.</p

Ambidexterity for corporate social performance

The literature on corporate social performance advocates that firms address social issues based on instrumental as well as moral rationales. While both rationales trigger initiatives to increase corporate social performance, these rest on fundamentally different and contradicting foundations. Building on the literature on organizational ambidexterity and paradox in management, we propose in this conceptual article that ambidexterity represents an important determinant of corporate social performance. We explain how firms achieve higher levels of corporate social performance through the ambidextrous ability to simultaneously pursue instrumentally and morally driven social initiatives. We distinguish between a balance dimension and a combined dimension of ambidexterity, which both enhance corporate social performance through distinct mechanisms. With the balance dimension, instrumental and moral initiatives compensate for each other – which increases the scope of corporate social performance. With the combined dimension, instrumental and moral initiatives supplement each other – which increases the scale of corporate social performance. The article identifies the most important determinants and moderators of the balance and the combined dimension to explain the conditions under which we expect firms to increase corporate social performance through ambidexterity. By focusing on the interplay and tensions between different types of social initiatives, an ambidextrous perspective contributes to a better understanding of corporate social performance. Regarding managerial practice, we highlight the role of structural and behavioral factors for achieving higher corporate social performance through the simultaneous pursuit of instrumental and moral initiatives

High "Normal" blood glucose is associated with decreased brain volume and cognitive performance in the 60s: the PATH through Life Study

Context:Type 2 diabetes is associated with cerebral atrophy, cognitive impairment and dementia. We recently showed higher glucose levels in the normal range not to be free of adverse effects and to be associated with greater hippocampal and amygdalar atrophy in older community-dwelling individuals free of diabetes.Objective:This study aimed to determine whether blood glucose levels in the normal range