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Metabolic-dysfunction-associated fatty liver disease (MAFLD) is a comorbidity that generally increases in people living with HIV (PLWH). This condition is usually accompanied by persistent inflammation and premature immune system aging. In this prospective cohort study, we describe a straightforward methodology for quantifying biomarkers of aging, such as DNA methylation and telomere length, in PLWH and in the context of another relevant condition, such as MAFLD. Fifty-seven samples in total, thirty-eight from PLWH and nineteen from non-PLWH participants with or without MAFLD, were obtained and subjected to DNA extraction from peripheral blood mononuclear cells (PBMCs). Global DNA methylation and telomere length quantification were performed using an adapted enzyme-linked immunosorbent assay (ELISA) and qPCR, respectively. The quantification results were analysed and corrected by clinically relevant variables in this context, such as age, sex, and metabolic syndrome. Our results show an increased association of these biomarkers in PLWH regardless of their MAFLD status. Thus, we propose including the quantification of these age-related factors in studies of comorbidities. This will allow a better understanding of the effect of comorbidities of HIV infection and MAFLD and prevent their effects in these populations in the future.

The mechanisms driving SARS-CoV-2 susceptibility remain poorly understood, especially the factors determining why unvaccinated individuals remain uninfected despite high-risk exposures. To understand lipid and metabolite profiles related with COVID-19 susceptibility and disease progression. We collected samples from an exceptional group of unvaccinated healthcare workers heavily exposed to SARS-CoV-2 but not infected (‘non-susceptible’) and subjects who became infected during the follow-up (‘susceptible’), including non-hospitalized and hospitalized patients with different disease severity providing samples at early disease stages. Then, we analyzed their plasma metabolomic profiles using mass spectrometry coupled with liquid and gas chromatography. We show specific lipids profiles and metabolites that could explain SARS-CoV-2 susceptibility and COVID-19 severity. More importantly, non-susceptible individuals show a unique lipidomic pattern characterized by the upregulation of most lipids, especially ceramides and sphingomyelin, which could be interpreted as markers of low susceptibility to SARS-CoV-2 infection. This study strengthens the findings of other researchers about the importance of studying lipid profiles as relevant markers of SARS-CoV-2 pathogenesis.

In this pilot program of low-dose computed tomography (LDCT) for the screening of lung cancer (LC) in a targeted population of people with HIV (PWH), its prevalence was 3.6%; the number needed to screen in order to detect one case of lung cancer was 28, clearly outweighing the risks associated with lung cancer screening. While data from additional cohorts with longitudinal measurements are needed, PWH are a target population for lung cancer screening with LDCT.

Metabolic dysfunction-associated steatotic liver disease (MASLD), has emerged as an increasingly recognized problem among people living with HIV (PLWH). The gut-liver axis is considered to be strongly implicated in the pathogenesis of MASLD. We aimed to characterize the gut microbiota composition in PLWH and MASLD and compare it with that of two control groups: PLWH without MASLD and individuals with MASLD without HIV infection. We collected clinical data and stool samples from participants. Bacterial 16S rRNA genes were amplified, sequenced, and clustered into operational taxonomic unit. Alpha diversity was studied by Shannon and Simpson indexes. To study how different the gut microbiota composition is between the different groups, beta diversity estimation was evaluated by principal coordinate analysis (PCoA) using Bray-Curtis dissimilarity. To further analyze differences in microbiome composition we performed a linear discriminant analysis (LDA) effect size (LEfSe). We included 30 HIV MASLD , 30 HIV MASLD and 20 HIV MASLD participants. Major butyrate producers, including , , and dominated the microbiota in all three groups. Shannon's and Simpson's diversity metrics were higher among MASLD individuals (Kruskal-Wallis p = 0.047). Beta diversity analysis showed distinct clustering in MASLD , with MASLD participants overlapping regardless of HIV status (ADONIS significance <0.001). MASLD was associated with increased homogeneity across individuals, in contrast to that observed in the HIV+NAFDL- group, in which the dispersion was higher (Permanova test, p value <0.001; ANOSIM, p value <0.001). MASLD but not HIV determined a different microbiota structure (HIV vs. HIV MASLD , q-value = 0.002; HIV MASLD vs. HIV MASLD , q-value = 0.930; and HIV MASLD vs. HIV MASLD , q-value < 0.001). The most abundant genera in MASLD- were , and . In contrast, the most enriched genera in MASLD+ were , and We found a microbiome signature linked to MASLD, which had a greater influence on the overall structure of the gut microbiota than HIV status alone.

Pre-exposure prophylaxis (PrEP) is a highly effective HIV-prevention strategy that involves the continuous administration of antiretroviral drugs to HIV-negative individuals with a substantial risk of contracting an HIV infection. The use of PrEP has shown a reduction in the risk of HIV acquisition through sexual intercourse by up to 99%. Despite its effectiveness, PrEP uptake remains low among populations at high risk of HIV infection. This highlights the need for further research in strategies to enhance awareness and uptake of PrEP amongst these specific populations. This article presents a comprehensive overview of the existing literature on the effectiveness of PrEP in reducing HIV transmission rates. Additionally, we examine the obstacles related to PrEP implementation and uptake and put forward potential strategies to raise awareness and improve its use among populations at an increased risk of contracting HIV.

El artículo analiza los desafíos neuroéticos derivados de la aplicación del neuromarketing en la publicidad digital, con énfasis en la plataforma YouTube, a partir de una revisión sistemática integrativa de la literatura científica. Su objetivo principal es identificar los valores y principios neuroéticos comprometidos por el uso de técnicas neurocientíficas —como el eye-tracking y el facial coding— aplicadas a la optimización de contenidos audiovisuales y estrategias publicitarias. La metodología se basa en un mapeo científico siguiendo las directrices PRISMA, mediante búsquedas en bases de datos internacionales. Se analizaron estudios teóricos y empíricos, clasificando los hallazgos en ejes temáticos como autonomía, privacidad, vulnerabilidad de audiencias y control algorítmico. Los resultados evidencian que la convergencia entre técnicas de neuromarketing y los algoritmos de recomendación de YouTube intensifica el riesgo de manipulación no consciente, erosiona el consentimiento informado y amenaza la privacidad mediante el uso de datos biométricos y neurofisiológicos. La conclusión principal sostiene que los valores más comprometidos son la autonomía y la protección de poblaciones vulnerables, especialmente menores de edad. El trabajo propone la necesidad de un marco neuroético integrado que combine principios de la bioética y la ética de la inteligencia artificial, y que avance hacia una regulación proactiva del diseño algorítmico de las plataformas digitales.

Purpose The aim of this study was to develop an instrument to identify disordered eating behaviors (DEB) in college men (hereafter, DEBM-Q). Methods A two-stage project consisting of a diagnostic scale construction ( n 1  = 9 for interviews, n 2  = 9 for cognitive laboratory) and a validation study with a cross-sectional sample ( N  = 570) was carried out. Both semi-structured interviews and a cognitive laboratory with nine participants were conducted to obtain DEBM-Q items. DEBM-Q was applied to 570 freshmen male in Mexico City. Psychometric characteristics and internal consistency (Cronbach’s alpha) were analyzed. An item-total correlation value greater than 0.30 was determined, and factor loads greater than 0.40 were considered valid. Exploratory factor analysis (EFA, n 1  = 297) and confirmatory factor analysis (CFA, n 2  = 273) were performed. Results Two fixed factors explaining 55.08% of the total variance were extracted. Factor 1, “Drive for Thinness” (8 items), explained 30.84% of the variance, whereas factor 2, “Drive for Muscularity” (8 items), explained 24.23% of the variance. Cronbach’s alpha for the whole questionnaire was 0.84. DEBM-Q was correlated with the Dutch Food Restriction Scale (RS) ( r  = 0.52, p  < 0.001), Eating Disorder Examination-Questionnaire (EDE-Q) ( r  = 0.46, p  < 0.001), Emotional Eating Scale (EES) ( r  = 0.18, p  < 0.001), and Negative Affect Subscale (PANAS-X) ( r  = 0.11, p  < 0.005). Conclusion DEBM-Q is a valid and practical short screening tool (16 items) allowing early identification of disordered eating in young men, thereby facilitating clinical management. Level of evidence Level V : Opinions of authorities, based on descriptive studies, narrative reviews, clinical experience, or reports of expert committees.

Despite its high prevalence, the mechanisms underlying non-alcoholic fatty liver disease (NAFLD) in people living with HIV (PLWH) are still unclear. In this prospective cohort study, we aim to evaluate differences in plasma fatty acid profiles between HIV-infected and HIV-uninfected participants with NAFLD. We included participants diagnosed with NAFLD, both HIV-infected and HIV-uninfected. Fatty acid methyl esters were measured from plasma samples. Ratios ([product]/[substrate]) were used to estimate desaturases and elongases activity. We used linear regression for adjusted analyses. We included 31 PLWH and 22 HIV-uninfected controls. We did not find differences in the sum of different types of FA or in FA with a greater presence of plasma. However, there were significant differences in the distribution of some FA, with higher concentrations of ALA, trans-palmitoleic, and behenic acids, and a lower concentration of lignoceric acid in PLWH. PLWH had lower C24:0/C22:0 and C16:0/C14:0 ratios, which estimates the activity of elongases ELOVL1 and ELOVL6. Both groups had similar fatty acid distribution, despite differences in traditional risk factors. PLWH had a lower proportion of specific ratios that estimate ELOVL1 and ELOVL6 activity, which had been previously described for other inflammatory conditions, such as psoriasis.

This paper aimed to explain why more women died in the earthquake of September 19, 2017, in Mexico City. We adopted a mixed quantitative-qualitative method, with epidemiological and statistical data and a hemerographic review about the influence of gender on earthquake-derived mortality. In the quantitative part, the results show that the difference in deaths among women compared to those among men cannot be attributed to population distribution or randomization issues. In the qualitative part, the results show that many data are evidencing that gender is an essential social determinant that can explain why more women die than men after an earthquake. Therefore, we recommend that these data be considered responsibly to improve future prevention and intervention actions.