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Objective: Cerebrospinal fluid (CSF) biomarkers add accuracy to the diagnostic workup of cognitive impairment by illustrating Alzheimer’s disease (AD) pathology. However, there are no universally accepted cutoff values for the interpretation of AD biomarkers. The aim of this study is to determine the viability of a decision-tree method to analyse CSF biomarkers of AD as a support for clinical diagnosis. Methods: A decision-tree method (automated classification analysis) was applied to concentrations of AD biomarkers in CSF as a support for clinical diagnosis in older adults with or without cognitive impairment in a Brazilian cohort. In brief, 272 older adults (68 with AD, 122 with mild cognitive impairment [MCI], and 82 healthy controls) were assessed for CSF concentrations of Aβ1-42, total-tau, and phosphorylated-tau using multiplexed Luminex assays; biomarker values were used to generate decision-tree algorithms (classification and regression tree) in the R statistical software environment. Results: The best decision tree model had an accuracy of 74.65% to differentiate the three groups. Cluster analysis supported the combination of CSF biomarkers to differentiate AD and MCI vs. controls, suggesting the best cutoff values for each clinical condition. Conclusion: Automated analyses of AD biomarkers provide valuable information to support the clinical diagnosis of MCI and AD in research settings.

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Objective: Bipolar I disorder (BD-I) is a type of bipolar spectrum disorder characterized by manic or mixed episodes. Detecting microRNA regulations as epigenetic actors in BD-I is important to elucidate the pathogenesis of the disease and reveal the potential of microRNAs (miRNAs) as biomarkers. Methods: We evaluated the expression profile of six candidate miRNAs (hsa-miR-145-5p, hsa-miR-376a-3p, hsa-miR-3680-5p, hsa-miR-4253-5p, hsa-miR-4482-3p, and hsa-miR-4725) in patients with BD-I and in healthy controls (aged 11-50 years). We also determined the potential target genes of these miRNAs through in silico analysis. The diagnostic values of the miRNAs were calculated through receiver operating characteristic curve analysis. Results: Four miRNAs were upregulated (hsa-miR-376a-3p, hsa-miR-3680-5p, hsa-miR-4253-5p, hsa-miR-4482-3p) and hsa-miR-145-5p was downregulated in patients (p < 0.001). The target gene analyses showed that hsa-miR-145-5p specifically targets the dopamine decarboxylase (DDC) gene. The area under the curve of hsa-miR-145-5p was 0.987. Conclusion: Differential expression of five miRNAs in peripheral blood may be associated with the pathogenesis of BD-I, and hsa-miR-145-5p has potential as a BD-I biomarker. This miRNA can be used in dopamine-serotonin regulation and dose adjustment in drug therapy via the DDC gene.

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Objective: Maternal attention-deficit/hyperactivity disorder has not been investigated in relation to parenting skills in adolescent mothers. This study investigated whether maternal inattention and hyperactivity/impulsivity symptoms early in pregnancy predict poorer parenting skills and infant maltreatment during the first year of life in adolescent mothers living in adverse environmental conditions. Methods: The participants in this study were 80 adolescent mothers aged 14-19 years and their babies who were taking part in a randomized controlled trial on the effects of a home-visiting program on infant development. Symptoms of maternal attention-deficit/hyperactivity disorder were assessed in the first trimester of pregnancy. Parenting skills (maternal competence, attachment to the baby, home environment) and child maltreatment were assessed when the infants were aged 6 and 12 months. Multilevel linear regression models were constructed to test the extent to which prenatal maternal inattention and hyperactivity/impulsivity symptoms predicted these parenting variables during the first year of the infant’s life. Results: Prenatal inattention symptoms significantly predicted lower maternal competence and attachment, a poorer home environment, and greater maltreatment during the first year of life. Hyperactivity did not significantly predict parenting skills or maltreatment. Conclusions: Our findings suggest that inattention symptoms may interfere with parenting abilities in adolescent mothers and should be considered in early intervention programs.

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Objective: To compare the distress level among Brazilian healthcare professionals during the coronavirus disease 2019 (COVID-19) pandemic and estimate risks by sex, age, and occupation. Methods: In a longitudinal cohort design, a nationally distributed online survey was used to collect data from 10,490 active healthcare professionals who worked during the pandemic. Participants were mostly female, aged 18 to 82 years; 13 different health professions and all states of Brazil were represented. Results: The most frequent professions were psychology, dentistry, and nursing. The Brief Symptom Inventory (BSI) score suggested an increased distress perception among health professionals. Females showed poorer mental health than males, but the absolute rise in Global Severity Index (GSI) score was larger in males than in females. Younger adults reported more symptoms of psychological distress than older adults. The most impacted age group was between 30-39 years. Nurse technicians presented the highest risk of distress. Conclusion: Health professionals are essential to overcoming the pandemic; thus, their mental health status should be monitored, and features associated with increased distress should be identified. Our findings suggest distress risk should be stratified by occupation, age, and sex. Health professionals showed an increased distress perception. Women, individuals between the ages of 30 and 39, nursing personnel, and physicians were more likely to report distress compared with other health professionals.

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Objectives: Prior research has indicated that no increase in suicides occurred immediately following the declaration of the COVID-19 emergency in Mexico City. Here we examine longer-term overall suicide trends and trends according to basic demographic groups. Methods: We used interrupted time-series analysis to model trends in monthly suicides before COVID-19 (January 1, 2010 to March 31, 2020), comparing the expected number of suicides both overall and according to age and sex with the observed number of suicides for the remainder of 2020 (April 1, 2020 to December 31, 2020). Results: There was an overall increase in suicides during the first 9 months of the pandemic, with a rate ratio of 2.07 (1.86-2.31). The increase began in the early months of the pandemic and remained stable and high after June 2020. Men and women, younger people (< 45) and older people (≥ 45) were affected. The increase was especially high among older women (RR = 3.33; 2.04-5.15). Conclusions: The increase in suicides in Mexico City is worrying and highlights the need to strengthen economic development, mental health, and well-being programs. Suicides among older women should be closely monitored. There is an urgent need to expand primary health care services to include robust suicide prevention and treatment options.

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Objective: To compare the prevalence and subtypes of childhood maltreatment (CM) between individuals with and without substance use disorder (SUD) and investigate the influence of different traumas on the preferential use of substances and the severity of dependence. Methods: The sample consisted of 1,040 men with SUD (alcohol users [n=315], crack-cocaine users [n=406], multiple-substance users [n=319]) and 201 controls. The Childhood Trauma Questionnaire (CTQ) and the Addiction Severity Index-6 (ASI-6) were used to assess CM and drug-use patterns. Results: Individuals with SUD had a higher prevalence of CM than controls (63.4 vs. 28.1%, respectively). Exposure to physical trauma was associated with alcohol use disorder and severity of alcohol use. In contrast, emotional trauma was associated with use of multiple substances and severity of drug use in crack-cocaine users. Conclusions: This study corroborates the association of CM with SUD susceptibility. Our results suggest that the type of CM may influence preferential substance use and addiction severity. In this sense, physical traumas are more associated with alcohol use, while emotional and sexual traumas favor use of multiple drugs, especially crack cocaine. These findings may help the development of tailored prevention and intervention strategies.

Resumo em Inglês:

The neurobiological factors associated with the emergence of major depressive disorder (MDD) in adolescence are still unclear. Previous cross-sectional studies have documented aberrant connectivity in resting-state functional magnetic resonance imaging (rs-fMRI) networks. However, whether these findings precede MDD onset has not been established. This scoping review mapped key methodological aspects and main findings of longitudinal rs-fMRI studies of MDD in adolescence. Three sets of neuroimaging methods to analyze rs-fMRI data were identified: seed-based analysis, independent component analysis, and network-based approaches. Main findings involved aberrant connectivity within and between the default mode network (DMN), the cognitive control network (CCN), and the salience network (SN). Accordingly, we utilized Menon’s (2011) triple-network model for neuropsychiatric disorders to summarize key results. Adolescent MDD was associated with hyperconnectivity within the SN and between DMN and SN, as well as hypoconnectivity within the CCN. These findings suggested that dysfunctional connectivity among the three main large-scale brain networks preceded MDD onset. However, there was high heterogeneity in neuroimaging methods and sampling procedures, which may limit comparisons between studies. Future studies should consider some level of harmonization for clinical instruments and neuroimaging methods.

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Follow-up of patients affected by COVID-19 has unveiled remarkable findings. Among the several sequelae caused by SARS-CoV-2 viral infection, it is particularly noteworthy that patients are prone to developing depression, anxiety, cognitive disorders, and dementia as part of the post-COVID-19 syndrome. The multisystem aspects of this disease suggest that multiple mechanisms may converge towards post-infection clinical manifestations. The literature provides mechanistic hypotheses related to changes in classical neurotransmission evoked by SARS-CoV-2 infection; nonetheless, the interaction of peripherally originated classical and non-canonic peptidergic systems may play a putative role in this neuropathology. A wealth of robust findings shows that hemoglobin-derived peptides are able to control cognition, memory, anxiety, and depression through different mechanisms. Early erythrocytic death is found during COVID-19, which would cause excess production of hemoglobin-derived peptides. Following from this premise, the present review sheds light on a possible involvement of hemoglobin-derived molecules in the COVID-19 pathophysiology by fostering neuroscientific evidence that supports the contribution of this non-canonic peptidergic pathway. This rationale may broaden knowledge beyond the currently available data, motivating further studies in the field and paving ways for novel laboratory tests and clinical approaches.

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Objective: This study reviewed and analyzed the prevalence of suicidal behaviors among cocaine users who sought health services. Methods: This is a systematic review and meta-analysis of studies published until January 2021. PubMed/MEDLINE, Scopus, Embase, PsycINFO, and LILACS were searched. The inclusion criteria were observational (retrospective or prospective), case-control, and/or cross-sectional reports that contained samples of cocaine users aged over 14 years who were assessed in health facilities or were in treatment. The random-effects model was used to calculate the overall prevalence of suicidal behavior with a 95% confidence interval. Subgroup analysis was conducted to investigate sources of heterogeneity. Results: Twenty articles were included, yielding a total of 2,252 cocaine users. The estimated prevalence was 43.59% (95%CI 31.10-57.38) for suicidal ideation and 27.71% (95%CI 21.63-34.73) for suicide attempts. High heterogeneity was found between studies for both outcomes (I2 ≥ 93%), although subgroup analysis considering the quality of the studies showed a significant difference in suicide attempts (p = 0.03). Conclusion: Cocaine use can be considered a risk factor for suicidal behavior, and prevention and early screening measures should be implemented to facilitate adequate treatment.

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Objective: To evaluate the effectiveness of group cognitive-behavioral therapy (GCBT) for the treatment of adolescents with obsessive compulsive disorder (OCD). Methods: This review was registered in PROSPERO under number CRD42020158475. Five databases (PubMed, Virtual Health Library, Web of Science, Scopus, and PsycINFO) were searched. After applying the inclusion and exclusion criteria, 13 studies were analyzed in the qualitative synthesis (i.e., systematic review) and eight in the quantitative synthesis (i.e., meta-analysis). For the latter, fixed-effect modeling was used to assess the primary outcome (i.e., OCD symptoms). Results: The main findings suggest that GCBT is effective in reducing the symptoms of OCD in adolescents (d = -1.32). However, these results must be interpreted with caution, since all of the included studies showed some bias in their design. Conclusions: GCBT is effective in reducing OCD symptoms in adolescents.