Divergent gene expression patterns in alcohol and opioid use disorders lead to consistent alterations in functional networks within the Dorsolateral Prefrontal Cortex.

Substance Use Disorders (SUDs) manifest as persistent drug-seeking behavior despite adverse consequences, with Alcohol Use Disorder (AUD) and Opioid Use Disorder (OUD) representing prevalent forms associated with significant mortality rates and economic burdens. The co-occurrence of AUD and OUD is common, necessitating a deeper comprehension of their intricate interactions. While the causal link between these disorders remains elusive, shared genetic factors are hypothesized. Leveraging public datasets, we employed genomic and transcriptomic analyses to explore conserved and distinct molecular pathways within the dorsolateral prefrontal cortex associated with AUD and OUD. Our findings unveil modest transcriptomic overlap at the gene level between the two disorders but substantial convergence on shared biological pathways. Notably, these pathways predominantly involve inflammatory processes, synaptic plasticity, and key intracellular signaling regulators. Integration of transcriptomic data with the latest genome-wide association studies (GWAS) for problematic alcohol use (PAU) and OUD not only corroborated our transcriptomic findings but also confirmed the limited shared heritability between the disorders. Overall, our study indicates that while alcohol and opioids induce diverse transcriptional alterations at the gene level, they converge on select biological pathways, offering promising avenues for novel therapeutic targets aimed at addressing both disorders simultaneously.

Unlocking the complete blood count as a risk stratification tool for breast cancer using machine learning: a large scale retrospective study.

Optimizing early breast cancer (BC) detection requires effective risk assessment tools. This retrospective study from Brazil showcases the efficacy of machine learning in discerning complex patterns within routine blood tests, presenting a globally accessible and cost-effective approach for risk evaluation. We analyzed complete blood count (CBC) tests from 396,848 women aged 40-70, who underwent breast imaging or biopsies within six months after their CBC test. Of these, 2861 (0.72%) were identified as cases: 1882 with BC confirmed by anatomopathological tests, and 979 with highly suspicious imaging (BI-RADS 5). The remaining 393,987 participants (99.28%), with BI-RADS 1 or 2 results, were classified as controls. The database was divided into modeling (including training and validation) and testing sets based on diagnostic certainty. The testing set comprised cases confirmed by anatomopathology and controls cancer-free for 4.5-6.5 years post-CBC. Our ridge regression model, incorporating neutrophil-lymphocyte ratio, red blood cells, and age, achieved an AUC of 0.64 (95% CI 0.64-0.65). We also demonstrate that these results are slightly better than those from a boosting machine learning model, LightGBM, plus having the benefit of being fully interpretable. Using the probabilistic output from this model, we divided the study population into four risk groups: high, moderate, average, and low risk, which obtained relative ratios of BC of 1.99, 1.32, 1.02, and 0.42, respectively. The aim of this stratification was to streamline prioritization, potentially improving the early detection of breast cancer, particularly in resource-limited environments. As a risk stratification tool, this model offers the potential for personalized breast cancer screening by prioritizing women based on their individual risk, thereby indicating a shift from a broad population strategy.

Association of socioeconomic deprivation with outcomes in critically ill adult patients: an observational prospective multicenter cohort study.

BACKGROUND: The influence of socioeconomic deprivation on health inequalities is established, but its effect on critically ill patients remains unclear, due to inconsistent definitions in previous studies. METHODS: Prospective multicenter cohort study conducted from March to June 2018 in eight ICUs in the Greater Paris area. All admitted patients aged ≥ 18 years were enrolled. Socioeconomic phenotypes were identified using hierarchical clustering, based on education, health insurance, income, and housing. Association of phenotypes with 180-day mortality was assessed using Cox proportional hazards models. RESULTS: A total of 1,748 patients were included. Median age was 62.9 [47.4-74.5] years, 654 (37.4%) patients were female, and median SOFA score was 3 [1-6]. Study population was clustered in five phenotypes with increasing socioeconomic deprivation. Patients from phenotype A (n = 958/1,748, 54.8%) were without socioeconomic deprivation, patients from phenotype B (n = 273/1,748, 15.6%) had only lower education levels, phenotype C patients (n = 117/1,748, 6.7%) had a cumulative burden of 1[1-2] deprivations and all had housing deprivation, phenotype D patients had 2 [1-2] deprivations, all of them with income deprivation, and phenotype E patients (n = 93/1,748, 5.3%) included patients with 3 [2-4] deprivations and included all patients with health insurance deprivation. Patients from phenotypes D and E were younger, had fewer comorbidities, more alcohol and opiate use, and were more frequently admitted due to self-harm diagnoses. Patients from phenotype C (predominant housing deprivation), were more frequently admitted with diagnoses related to chronic respiratory diseases and received more non-invasive positive pressure ventilation. Following adjustment for age, sex, alcohol and opiate use, socioeconomic phenotypes were not associated with increased 180-day mortality: phenotype A (reference); phenotype B (hazard ratio [HR], 0.85; 95% confidence interval CI 0.65-1.12); phenotype C (HR, 0.56; 95% CI 0.34-0.93); phenotype D (HR, 1.09; 95% CI 0.78-1.51); phenotype E (HR, 1.20; 95% CI 0.73-1.96). CONCLUSIONS: In a universal health care system, the most deprived socioeconomic phenotypes were not associated with increased 180-day mortality. The most disadvantaged populations exhibit distinct characteristics and medical conditions that may be addressed through targeted public health interventions.

Cyclooxygenase-2 inhibitors alleviated depressive and anxious-like behaviors in mice exposed to lipopolysaccharide: Involvement of oxidative stress and neuroinflammation.

Depression and anxiety disorders have their pathophysiologies linked to inflammation and oxidative stress. In this context, celecoxib (CLX) and etoricoxib (ETR) inhibit cyclooxygenase 2 (COX-2), an enzyme expressed by cells involved in the inflammatory process and found in the brain. Studies have been using CLX as a possible drug in the treatment of depression, although its mechanisms at the central nervous system level are not fully elucidated. In this study, the effects of CLX and ETR on behavioral, oxidative, and inflammatory changes induced by systemic exposure to Escherichia coli lipopolysaccharide (LPS) were evaluated in adult male swiss mice. For ten days, the animals received intraperitoneal injections of LPS at 0.5 mg/kg. From the sixth to the tenth day, one hour after LPS exposure, they were treated orally with CLX (15 mg/kg), ETR (10 mg/kg), or fluoxetine (FLU) (20 mg/kg). Twenty-four hours after the last oral administration, the animals underwent evaluation of locomotor activity (open field test), predictive tests for depressive-like behavior (forced swim and tail suspension tests), and anxiolytic-like effect (elevated plus maze and hole board tests). Subsequently, the hippocampus, prefrontal cortex and striatum were dissected for the measurement of oxidative and nitrosative parameters (malondialdehyde, nitrite, and glutathione) and quantification of pro-inflammatory cytokines (IL-1ß and IL-6). LPS induced depressive and anxious-like behavior, and treatment with CLX or ETR was able to reverse most of the behavioral changes. It was evidenced that nitrosative stress and the degree of lipid peroxidation induced by LPS were reduced in different brain areas after treatment with the drugs, as well as the endogenous defense system against free radicals was strengthened. CLX and ETR also significantly reduced LPS-induced cytokine levels. These data are expected to expand information on the role of inflammation in depression and anxiety and provide insights into possible mechanisms of COX-2 inhibitors in psychiatric disorders with a neurobiological basis in inflammation and oxidative stress.

Long-term administration of omeprazole in mice: a study of behavior, inflammatory, and oxidative stress alterations with focus on central nervous system.

Chronic use of omeprazole has been linked to central effects alongside with the global concern of increasing appearance of neuropsychiatric disorders. This study aimed to identifying behavioral, inflammatory, and oxidative stress alterations after long-term administration of omeprazole. C57BL/6 mice were divided in groups: OME and Sham, each received either solutions of omeprazole or vehicle, administered for 28 days by gavage. Results observed in the omeprazole-treated mice: Decrease in the crossing parameter in the open field, no change in the motor performance assessed by rotarod, an immobility time reduction in the forced swimming test, improved percentage of correct alternances in the Ymaze and an exploration time of the novel object reduction in the novel object recognition. Furthermore, a reduced weight gain and hippocampal weight were observed. There was an increase in the cytokine IL1-ß levels in both prefrontal cortex (PFC) and serum, whereas TNF-α increased only in the PFC. Nitrite levels increased in the hippocampus (HP) and PFC, while malondialdehyde (MDA) and glutathione (GSH) levels decreased. These findings suggest that omeprazole improves depressive-like behavior and working memory, likely through the increase in nitrite and reduction in MDA levels in PFC and HP, whereas, the impairment of the recognition memory is more likely to be related to the reduced hippocampal weight. The diminished weight gain might be associated with the IL-1ß increased levels in the peripheral blood. Altogether, omeprazole showed to have the potential to impact at central level and inflammatory and oxidative parameters might exert a role between it.

Radiologic and computed tomography evaluation of the beaks from three bird species.

This study aimed to evaluate the beaks of three species of birds using radiography and computed tomography (CT). The mean lengths of maxillary and mandibular rostra on radiographs were highest for toco toucan, followed by buff-necked ibis, and least for red-legged seriema birds. The height and width of maxillary and mandibular rostra measured on CT had mean values highest for toco toucans, followed by red-legged seriema, and least for buff-necked ibis. Except for the proximal region of the maxillary rostrum, the HU values were positive for other regions of the maxillary and mandibular rostra in the buff-necked ibis and red-legged seriema and negative in all for the toco toucan.

Correction: Cotovio et al. Regulatory Clearance and Approval of Therapeutic Protocols of Transcranial Magnetic Stimulation for Psychiatric Disorders. Brain Sci. 2023, 13, 1029.

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Reducing motor evoked potential amplitude variability through normalization.

Background: Transcranial Magnetic Stimulation (TMS) is used for in vivo assessment of human motor cortical excitability, with application of TMS pulses over the motor cortex resulting in muscle responses that can be recorded with electromyography (EMG) as Motor Evoked Potentials (MEPs). These have been widely explored as potential biomarkers for neuropsychiatric disorders but methodological heterogeneity in acquisition, and inherent high variability, have led to constraints in reproducibility. Normalization, consisting in scaling the signal of interest to a known and repeatable measurement, reduces variability and is standard practice for between-subject comparisons of EMG. The effect of normalization on variability of MEP amplitude has not yet been explored and was assessed here using several methods. Methods: Three maximal voluntary isometric contractions (MVICs) and 40 MEPs were collected from the right hand in healthy volunteers, with a retest session conducted 4 to 8 weeks later. MEP amplitude was normalized using either external references (MVICs) or internal references (extreme MEPs). Iterative re-sampling of 30 normalized MEPs per subject was repeated 5,000 times to define, for each normalization method, distributions for between-subject coefficients of variation (CV) of the mean MEP amplitude. Intra-class correlation coefficients (ICC) were used to assess the impact of normalization on test­retest stability of MEP amplitude measurements. Results: In the absence of normalization, MEPs collected from the right hand of 47 healthy volunteers were within reported values regarding between-subject variability (95% confidence intervals for the CV: [1.0567,1.0577]) and showed good temporal stability (ICC = 0.77). Internal reference normalization substantially reduced between-subject variability, by values of up to 64%, while external reference normalization had no impact or increased between-subject variability. Normalization with the smallest references reduced test­retest stability, with use of the largest references resulting in slight reduction or improvement of ICCs. Internal reference normalization using the largest MEPs was found to be robust to several sensitivity analyses. Conclusion: Internal, but not external, reference normalization reduces between-subject variability of MEP amplitude, and has a minimal impact on within-subject variability when conducted with the largest references. Additional research is necessary to further validate these normalization methods toward potential use of MEPs as biomarkers of neuropsychiatric disorders.

Racial and Ethnic Differences in Heroin, Methamphetamine, and Cocaine Use, Treatment, and Mortality Trends in 3 National Data Sources-United States, 2010-2019.

BACKGROUND: As overdose deaths continue to rise, public health officials need comprehensive surveillance data to design effective prevention, harm reduction, and treatment strategies. Disparities across race and ethnicity groups, as well as trends in substance use, treatment, or overdose deaths, have been examined individually, but reports rarely compare findings across multiple substances or data sources. OBJECTIVE: To provide a broad assessment of the overdose crisis, we describe trends in substance use, treatment, and overdose mortality across racial and ethnic groups for multiple substances. RESEARCH DESIGN: We conducted a longitudinal, cross-sectional analysis comparing trends. SUBJECTS: We identified self-reported use from the National Survey on Drug Use and Health, substance use treatment admissions from the Treatment Episode Data Set-Admissions, and overdose deaths from the CDC's Multiple Cause of Death files. MEASURES: We measured rates of substance use, treatment, and deaths involving heroin, methamphetamine, and cocaine among United States adults from 2010 to 2019. RESULTS: Heroin, methamphetamine, and cocaine use increased, though not all changes were statistically significant. Treatment admissions indicating heroin and methamphetamine increased while admissions indicating cocaine decreased. Overdose deaths increased among all groups: methamphetamine (257%-1,115%), heroin (211%-577%), and cocaine (88%-259%). Changes in rates of use, treatment, and death for specific substances varied by racial and ethnic group. CONCLUSIONS: Substance use, treatment, and overdose mortality changed considerably, though not always equivalently. Identifying diverging trends in substance-related measures for specific substances and racial and ethnic groups can inform targeted investment in treatment to reduce disparities and respond to emerging changes in the overdose crisis.

Xylazine Use Among People Who Inject Drugs, Philadelphia 2022.

OBJECTIVES: Xylazine is commonly mixed with illicit opioids in Philadelphia, and potential associations with wound issues, infectious diseases, and overdoses are of public health concern. We used data from the National HIV Behavioral Surveillance Survey among persons who inject drugs (PWIDs) in Philadelphia to better identify individuals at risk and inform patients and clinicians about xylazine risk factors. METHODS: We compared characteristics of participants who reported using xylazine to those who reported not using xylazine in the past 12 months. Among those who reported xylazine use, we compared characteristics between people who prefer and did not prefer to use xylazine. RESULTS: In this sample of PWIDs, most prefer not to use xylazine, yet use is common. Compared with PWIDs not using xylazine, PWIDs who use xylazine were more likely to have recent homelessness, polysubstance use, overdose history, and hepatitis C virus infection ( P < 0.05 for all comparisons). Compared with concordant xylazine use, discordant xylazine use was associated with lower preference for fentanyl, heroin as the primary injection drug, and lower use of syringe service programs ( P < 0.05 for all comparisons). CONCLUSIONS: Public health entities should prioritize studying the use and health effects of xylazine in their jurisdictions and consider supporting point-of-care and drug-checking surveillance in addition to raising awareness of xylazine in the drug supply.

Advancing the community plan to end the HIV Epidemic in Philadelphia: a qualitative descriptive evaluation of low-threshold PrEP services in sexual health clinics.

BACKGROUND: Pre-exposure prophylaxis (PrEP) is an effective HIV prevention method and a key component of Philadelphia's Community Plan to End the HIV Epidemic (EHE). However, significant barriers to accessing PrEP exist among people at risk for HIV. Low-threshold models for PrEP services that minimize barriers to entry and service engagement could help bolster access to PrEP through community-based clinics. This study aimed to describe the initial implementation of low-threshold PrEP services in three sexual health clinics funded by the Philadelphia Department of Public Health and explore strategies for delivering low-threshold PrEP services. METHODS: We conducted three focus groups with staff (i.e., providers, prevention navigators, and administrative staff, N = 21) at each of three participating PDPH-funded sexual health clinics from November 2021 to January 2022. Discussion topics included details about the PrEP delivery process, clinic strengths and assets, resource gaps, and PrEP implementation goals. Follow-up interviews with staff members (N = 8) between March 2022 and May 2022 focused on identifying successful strategies for PrEP delivery and adaptations needed to optimize low-threshold PrEP service delivery. Rapid qualitative methods and the Consolidated Framework for Implementation Science were used to analyze data from focus groups and interviews. RESULTS: Participants collaborated to create process maps that visualized the steps involved in delivering PrEP services within their respective settings. These maps highlighted several stages in PrEP service delivery, such as connecting individuals to services, providing prevention navigation, conducting clinical encounters, and ensuring follow-up care. Participants described effective strategies for implementing PrEP, which included integrating and co-locating services on-site, strengthening staffing resources and capacity, and addressing barriers experienced by clients. CONCLUSIONS: Lessons from the implementation of low-threshold PrEP service delivery in Philadelphia can guide ongoing local adaptations and future scale-up of these models to improve access to PrEP and advance the goals of the EHE initiative.

Compromised end-of-life syndrome in cancer patients: A clinical validation study.

PURPOSE: To identify the prevalence of the nursing diagnosis of compromised end-of-life syndrome in patients in end-of-life care. METHODS: This is a clinical validation based on a cross-sectional epidemiological clinical study conducted at the National Cancer Institute in Rio de Janeiro, Brazil. The defining characteristics of a syndrome diagnosis were identified, defined as a "subset of nursing diagnoses," using sensitivity and specificity measures through the application of latent class statistical methods. FINDINGS: The statistical results revealed seven nursing diagnoses characterizing the syndrome: imbalanced nutrition: less than body requirements, nausea, anxiety, ineffective breathing pattern, disturbed sleep pattern, ineffective thermoregulation, and fatigue. Compromised end-of-life syndrome was present in 76% of the sample. CONCLUSION: The study demonstrated the presence of compromised end-of-life syndrome in most end-of-life patients from the sample. IMPLICATIONS FOR NURSING PRACTICE: Recognizing the presence of the syndrome diagnosis enables nurses to have efficient and effective clinical reasoning for implementing the nursing process in palliative care. CAAE Number: 85415618.0.3001.5274.

OBJETIVO: Identificar a prevalência do diagnóstico de enfermagem Síndrome de fim de vida comprometido em pacientes em cuidados de fim de vida. MÉTODO: Trata-se de uma validação clínica baseada em um estudo clínico epidemiológico transversal, desenvolvido no Instituto Nacional do Câncer no Rio de Janeiro, Brasil. Foram identificadas as características definidoras de um diagnóstico de síndrome, definido como um "subconjunto de diagnósticos de enfermagem" utilizando-se medidas de sensibilidade e especificidade a partir da aplicação do método estatístico de classe latente. RESULTADOS: Os resultados estatísticos identificaram sete diagnósticos de enfermagem caracterizadores da síndrome: nutrição desequilibrada: menor que as necessidades corporais, náusea, ansiedade, padrão respiratório ineficaz, padrão de sono perturbado, termorregulação ineficaz e fadiga. O diagnóstico Síndrome de fim de vida comprometido esteve presente em 76% da amostra. CONCLUSÃO: O estudo demonstrou a presença da Síndrome de fim de vida comprometido na maioria dos pacientes em cuidados de fim de vida da amostra. IMPLICAÇÕES PARA A PRÁTICA DE ENFERMAGEM: O reconhecimento da presença do diagnóstico de síndrome permite ao enfermeiro um raciocínio clínico eficaz e eficiente para a implantação do processo de enfermagem em cuidados paliativos. Número CAAE: 85415618.0.3001.5274.

Understanding Regional Patterns of Overdose Deaths Related to Opioids and Psychostimulants.

BACKGROUND: As overdose rates increase for multiple substances, policymakers need to identify geographic patterns of substance-specific deaths. In this study, we describe county-level opioid and psychostimulant overdose patterns and how they correlate with county-level social vulnerability measures. METHODS: A cross-sectional observational study, we used nationwide 2016-2018 restricted access Centers for Disease Prevention and Control county-level mortality files for 1,024 counties. We estimated quartiles of opioid and psychostimulant overdose mortality and provided estimates of their association with county-level Social Vulnerability Index (SVI) percentile. RESULTS: There was high opioid and psychostimulant overdose mortality in the Middle Atlantic, South Atlantic, East North Central, and Mountain regions. The Central US had the lowest opioid and psychostimulant overdose mortality rates. Counties with higher SVI scores (i.e. higher social vulnerability) were significantly more likely to experience high opioid and high psychostimulant overdose (high-high) mortality. A 10-percentile increase in SVI score was associated with a 3.1 percentage point increase in the likelihood of being a high-high county (p < 0.001) in unadjusted models and a 1.5 percentage point increase (p < 0.05) in models adjusting for region. CONCLUSION: Our results illustrated the heterogenous geographic distribution of the growing concurrent opioid and psychostimulant overdose crisis. The substantial regional variation we identified highlights the need for local data to guide policymaking and treatment planning. The association of opioid-psychostimulant overdose mortality with social vulnerability demonstrates the critical need in impacted counties for tailored treatment that addresses the complex medical and social needs of people who use both opioids and psychostimulants.

Leucine-rich repeat kinase 2 limits dopamine D1 receptor signaling in striatum and biases against heavy persistent alcohol drinking.

The transition from hedonic alcohol drinking to problematic drinking is a hallmark of alcohol use disorder that occurs only in a subset of drinkers. This transition requires long-lasting changes in the synaptic drive and the activity of striatal neurons expressing dopamine D1 receptor (D1R). The molecular mechanisms that generate vulnerability in some individuals to undergo the transition are less understood. Here, we report that the Parkinson's-related protein leucine-rich repeat kinase 2 (LRRK2) modulates striatal D1R function to affect the behavioral response to alcohol and the likelihood that mice transition to heavy, persistent alcohol drinking. Constitutive deletion of the Lrrk2 gene specifically from D1R-expressing neurons potentiated D1R signaling at the cellular and synaptic level and enhanced alcohol-related behaviors and drinking. Mice with cell-specific deletion of Lrrk2 were more prone to heavy alcohol drinking, and consumption was insensitive to punishment. These findings identify a potential novel role for LRRK2 function in the striatum in promoting resilience against heavy and persistent alcohol drinking.

Is there a tolerance for extension of the first metatarsal after the Lapidus procedure? A clinical, functional, and hindfoot radiographic analysis.

PURPOSE: Based on the tripod concept of load distribution, our study aimed to evaluate whether a slight extension of first metatarsal (M1) that may occur after the Lapidus procedure (LP) could alter the radiographic measurements of the hindfoot and influence clinical and functional outcomes. METHODS: Twenty-five patients (27 feet) were reviewed. Hindfoot radiographic analysis was based on seven measurements. Clinical and functional outcomes were evaluated with self-reported questionnaires. Transfer metatarsalgia was also assessed. Correlation analysis was performed according to variations of the studied variables. RESULTS: The average extension of the M1 was 4.26 degrees (p < 0.001). None of the hindfoot radiographic measurements changed significantly (p = 0.13, p = 0.50, p = 0.19, p = 0.70, p = 0.11, p = 0.36, p = 0.83). Patients improved on most questionnaires (p < 0.001). None presented transfer metatarsalgia. No correlation between M1 extension and clinical and functional outcomes was found. CONCLUSION: Possibly there is a tolerance of M1 extension in which it does not alter the radiographic measurements of the hindfoot, overload the lesser metatarsals, or compromise clinical and functional outcomes.

Psychosocial and structural stressors and engagement in medical care among young sexual minority men across racial identities.

Psychosocial and structural stressors and low engagement in medical care likely contribute to the disproportionate burden of chronic disease among sexual minority men (SMM) across the life course. However, how these stressors impact engagement in medical care among young SMM (YSMM) across racial identities remains understudied. The association of psychosocial and structural stressors with forgoing care among YSMM across racial identities was examined using race-stratified adjusted logistic regression of cross-sectional data. Among 737 HIV-negative SMM aged 16-24 years, nearly all (93%) experienced discrimination in their daily lives. Non-Hispanic/Latinx Black participants reported significantly higher levels of discrimination, exposure to community violence, and food insecurity. Medical mistrust and mental health were not significantly different across racial groups. In the full sample model, education, food insecurity, and discrimination were associated with forgoing care. Among the non-Hispanic/Latinx White sample, medical mistrust and discrimination were associated with forgoing care. Among the non-Hispanic/Latinx Black sample, discrimination was associated with forgoing care. Among the Hispanic/Latinx sample, food insecurity was associated with forgoing care. Psychosocial and structural stressors were common in this YSMM cohort, and significantly different across racial/ethnic identities. Race-stratified analysis revealed differences in the association of stressors with forgoing care among YSMM across racial identities, not appreciated in the analysis limited to the total study population. Our findings may support efforts to address health inequity and improve engagement in medical care among SMM.

Acute Respiratory Distress Syndrome due to Monkeypox Virus.

We report the first case of monkeypox virus (MPXV) associated acute respiratory distress syndrome (ARDS). A 34-year-old French woman with no medical history was admitted to the intensive care unit (ICU) for fever, altered mental status, hypotension and hypoxaemia. She presented with a diffuse skin rash with vesiculopustular lesions involving the four limbs and perineal ulcers with a skin swab positive for MPXV. On day 2, the patient presented moderate ARDS requiring invasive mechanical ventilation. She also had pleural empyema due to Streptococcus pyogenes. MPXV PCR was positive in the bronchoalveolar lavage, the pleural effusion and the blood. The patient was treated with tecovirimat. Despite the treatment, she had persistent viraemia for at least ten days. The patient condition rapidly improved; she was weaned from mechanical ventilation on day 18 despite the persistence of radiological lung opacities. She fully recovered and was discharged home on day 38 after admission. LEARNING POINTS: This is the first case of monkeypox virus associated ARDS in a young woman with no medical historyBiological follow-up showed disseminated MPXV and persistent viraemiaTecovirimat was well tolerated.

A hybrid linear discriminant analysis and genetic algorithm to create a linear model of aging when performing motor tasks through inertial sensors positioned on the hand and forearm.

BACKGROUND: During the aging process, cognitive functions and performance of the muscular and neural system show signs of decline, thus making the elderly more susceptible to disease and death. These alterations, which occur with advanced age, affect functional performance in both the lower and upper members, and consequently human motor functions. Objective measurements are important tools to help understand and characterize the dysfunctions and limitations that occur due to neuromuscular changes related to advancing age. Therefore, the objective of this study is to attest to the difference between groups of young and old individuals through manual movements and whether the combination of features can produce a linear correlation concerning the different age groups. METHODS: This study counted on 99 participants, these were divided into 8 groups, which were grouped by age. The data collection was performed using inertial sensors (positioned on the back of the hand and on the back of the forearm). Firstly, the participants were divided into groups of young and elderly to verify if the groups could be distinguished through the features alone. Following this, the features were combined using the linear discriminant analysis (LDA), which gave rise to a singular feature called the LDA-value that aided in verifying the correlation between the different age ranges and the LDA-value. RESULTS: The results demonstrated that 125 features are able to distinguish the difference between the groups of young and elderly individuals. The use of the LDA-value allows for the obtaining of a linear model of the changes that occur with aging in the performance of tasks in line with advancing age, the correlation obtained, using Pearson's coefficient, was 0.86. CONCLUSION: When we compare only the young and elderly groups, the results indicate that there is a difference in the way tasks are performed between young and elderly individuals. When the 8 groups were analyzed, the linear correlation obtained was strong, with the LDA-value being effective in obtaining a linear correlation of the eight groups, demonstrating that although the features alone do not demonstrate gradual changes as a function of age, their combination established these changes.

Integration of 3D-printed cerebral cortical tissue into an ex vivo lesioned brain slice.

Engineering human tissue with diverse cell types and architectures remains challenging. The cerebral cortex, which has a layered cellular architecture composed of layer-specific neurons organised into vertical columns, delivers higher cognition through intricately wired neural circuits. However, current tissue engineering approaches cannot produce such structures. Here, we use a droplet printing technique to fabricate tissues comprising simplified cerebral cortical columns. Human induced pluripotent stem cells are differentiated into upper- and deep-layer neural progenitors, which are then printed to form cerebral cortical tissues with a two-layer organization. The tissues show layer-specific biomarker expression and develop a structurally integrated network of processes. Implantation of the printed cortical tissues into ex vivo mouse brain explants results in substantial structural implant-host integration across the tissue boundaries as demonstrated by the projection of processes and the migration of neurons, and leads to the appearance of correlated Ca2+ oscillations across the interface. The presented approach might be used for the evaluation of drugs and nutrients that promote tissue integration. Importantly, our methodology offers a technical reservoir for future personalized implantation treatments that use 3D tissues derived from a patient's own induced pluripotent stem cells.