UMATUG: A dataset of inertial signals of older and young adults using a gerontologic simulator collected during instrumented Timed Up and Go (iTUG) tests.

Timed Up and Go (TUG) test is one of the most popular clinical tools aimed at the assessment of functional mobility and fall risk in older adults. The automation of the analysis of TUG movements is of great medical interest not only to speed up the test but also to maximize the information inferred from the subjects under study. In this context, this article describes a dataset collected from a cohort of 69 experimental subjects (including 30 adults over 60 years), during the execution of several repetitions of the TUG test. In particular, the dataset includes the measurements gathered with four wearables devices embedding four sensors (accelerometer, gyroscope magnetometer and barometer) located on four body locations (waist, wrist, ankle and chest). As a particularity, the dataset also includes the same measurements recorded when the young subjects repeat the test while wearing a commercial geriatric simulator, consisting of a set of weighted vests and other elements intended to replicate the limitations caused by aging. Thus, the generated dataset also enables the investigation into the potential of such tools to emulate the actual dynamics of older individuals.

Terrestrial laser scanning and low magnetic field digitization yield similar architectural coarse root traits for 32-year-old Pinus ponderosa trees.

BACKGROUND: Understanding how trees develop their root systems is crucial for the comprehension of how wildland and urban forest ecosystems plastically respond to disturbances such as harvest, fire, and climate change. The interplay between the endogenously determined root traits and the response to environmental stimuli results in tree adaptations to biotic and abiotic factors, influencing stability, carbon allocation, and nutrient uptake. Combining the three-dimensional structure of the root system, with root morphological trait information promotes a robust understanding of root function and adaptation plasticity. Low Magnetic Field Digitization coupled with AMAPmod (botAnique et Modelisation de l'Architecture des Plantes) software has been the best-performing method for describing root system architecture and providing reliable measurements of coarse root traits, but the pace and scale of data collection remain difficult. Instrumentation and applications related to Terrestrial Laser Scanning (TLS) have advanced appreciably, and when coupled with Quantitative Structure Models (QSM), have shown some potential toward robust measurements of tree root systems. Here we compare, we believe for the first time, these two methodologies by analyzing the root system of 32-year-old Pinus ponderosa trees. RESULTS: In general, at the total root system level and by root-order class, both methods yielded comparable values for the root traits volume, length, and number. QSM for each root trait was highly sensitive to the root size (i.e., input parameter PatchDiam) and models were optimized when discrete PatchDiam ranges were specified for each trait. When examining roots in the four cardinal direction sectors, we observed differences between methodologies for length and number depending on root order but not volume. CONCLUSIONS: We believe that TLS and QSM could facilitate rapid data collection, perhaps in situ, while providing quantitative accuracy, especially at the total root system level. If more detailed measures of root system architecture are desired, a TLS method would benefit from additional scans at differing perspectives, avoiding gravitational displacement to the extent possible, while subsampling roots by hand to calibrate and validate QSM models. Despite some unresolved logistical challenges, our results suggest that future use of TLS may hold promise for quantifying tree root system architecture in a rapid, replicable manner.

Electrophysiological Properties and Morphology of Cardiac and Pulmonary Motoneurons within the Dorsal Motor Nucleus of the Vagus of Rats.

The dorsal motor nucleus of the vagus (DMV) contains parasympathetic motoneurons that project to the heart and lungs. These motoneurons control ventricular excitability/contractility and airways secretions/blood flow, respectively. However, their electrophysiological properties, morphology and synaptic input activity remain unknown. One important ionic current described in DMV motoneurons controlling their electrophysiological behaviour is the A-type mediated by voltage-dependent K+ (Kv) channels. Thus, we compared the electrophysiological properties, synaptic activity, morphology, A-type current density, and single cell expression of Kv subunits, that contribute to macroscopic A-type currents, between DMV motoneurons projecting to either the heart or lungs of adult male rats. Using retrograde labelling, we visualized distinct DMV motoneurons projecting to the heart or lungs in acutely prepared medullary slices. Subsequently, whole cell recordings, morphological reconstruction and single motoneuron qRT-PCR studies were performed. DMV pulmonary motoneurons were more depolarized, electrically excitable, presented higher membrane resistance, broader action potentials and received greater excitatory synaptic inputs compared to cardiac DMV motoneurons. These differences were in part due to highly branched dendritic complexity and lower magnitude of A-type K+ currents. By evaluating expression of channels that mediate A-type currents from single motoneurons, we demonstrated a lower level of Kv4.2 in pulmonary versus cardiac motoneurons, whereas Kv4.3 and Kv1.4 levels were similar. Thus, with the distinct electrical, morphological, and molecular properties of DMV cardiac and pulmonary motoneurons, we surmise that these cells offer a new vista of opportunities for genetic manipulation providing improvement of parasympathetic function in cardiorespiratory diseases such heart failure and asthma.

Strength Training Protects High-Fat-Fed Ovariectomized Mice against Insulin Resistance and Hepatic Steatosis.

Menopause is characterized by a reduction in sex hormones in women and is associated with metabolic changes, including fatty liver and insulin resistance. Lifestyle changes, including a balanced diet and physical exercise, are necessary to prevent these undesirable changes. Strength training (ST) has been widely used because of the muscle and metabolic benefits it provides. Our study aims to evaluate the effects of ST on hepatic steatosis and insulin resistance in ovariectomized mice fed a high-fat diet (HFD) divided into four groups as follows: simulated sedentary surgery (SHAM-SED), trained simulated surgery (SHAM-EXE), sedentary ovariectomy (OVX-SED), and trained ovariectomy (OVX-EXE). They were fed an HFD for 9 weeks. ST was performed thrice a week. ST efficiently reduced body weight and fat percentage and increased lean mass in OVX mice. Furthermore, ST reduced the accumulation of ectopic hepatic lipids, increased AMPK phosphorylation, and inhibited the de novo lipogenesis pathway. OVX-EXE mice also showed a better glycemic profile, associated with greater insulin sensitivity identified by the euglycemic-hyperinsulinemic clamp, and reduced markers of hepatic oxidative stress compared with sedentary animals. Our data support the idea that ST can be indicated as a non-pharmacological treatment approach to mitigate metabolic changes resulting from menopause.

Soluble epoxide hydrolase inhibitors for smoking-associated inflammatory lung diseases and chronic obstructive pulmonary disease: a meta-analytical systematic review of preclinical and clinical studies.

An evaluation of the inflammatory enzymatic interactions related to pulmonary function can help identify biomarkers for interventions or prophylactic measures to improve patient prognosis. This study aimed to determine the effect of epoxide hydrolase inhibition by GSK2256294 in different pulmonary inflammation models. A secondary search was performed using Medline/PubMed, Web of Science, SciELO, Cochrane Library, Embase, Academic Google, and gray literature by two independent reviewers, who analyzed the methodological quality and consistency of the data. Different variables were compared using a meta-analysis. A total of 86 studies were found, 4 of which were selected from the gray literature. Based on the eligibility criteria, two clinical and one preclinical studies were evaluated. GSK2256294 inhibited the soluble epoxide hydrolase enzyme in both clinical and preclinical models, exhibiting greater effectiveness in clinical studies and contributing to the anti-inflammatory activity mediated by the eicosatrienoic pathway by reducing the levels of dihydroxyeicosatrienoic acids and leukotoxin-diol. Overall, GSK2256294 was identified as a promising drug for controlling the deleterious manifestations of lung inflammation. Further clinical and preclinical studies are required to ensure consistency among the evidence and identify other biological activities mediated by GSK2256294.

Determination and Analysis of Thermodynamic Properties of Methyl Methylanthranilate Isomers.

The enthalpies of formation in the gaseous phase of methyl 3-methylanthranilate and methyl 5-methylanthranilate were determined from experimental measurements of the corresponding standard energies of combustion, obtained from combustion calorimetry, and the standard enthalpies of vaporization and sublimation, obtained from Calvet microcalorimetry and Knudsen mass-loss effusion. A computational study, using the G3(MP2)//B3LYP composite method, has also been performed for the calculation of the gas-phase standard enthalpies of formation of those two molecules at T = 298.15 K, as well as for the remaining isomers, methyl 4-methylanthranilate and methyl 6-methylanthranilate. The results have been used to evaluate and analyze the energetic effect of the methyl substituent in different positions of the ring.

Role of NaV1.6-mediated persistent sodium current and bursting-pacemaker properties in breathing rhythm generation.

Inspiration is the inexorable active phase of breathing. The brainstem pre-Bötzinger complex (preBötC) gives rise to inspiratory neural rhythm, but its underlying cellular and ionic bases remain unclear. The long-standing "pacemaker hypothesis" posits that the persistent Na+ current (INaP) that gives rise to bursting-pacemaker properties in preBötC interneurons is essential for rhythmogenesis. We tested the pacemaker hypothesis by conditionally knocking out and knocking down the Scn8a (Nav1.6 [voltage-gated sodium channel 1.6]) gene in core rhythmogenic preBötC neurons. Deleting Scn8a substantially decreases the INaP and abolishes bursting-pacemaker activity, which slows inspiratory rhythm in vitro and negatively impacts the postnatal development of ventilation. Diminishing Scn8a via genetic interference has no impact on breathing in adult mice. We argue that the Scn8a-mediated INaP is not obligatory but that it influences the development and rhythmic function of the preBötC. The ubiquity of the INaP in respiratory brainstem interneurons could underlie breathing-related behaviors such as neonatal phonation or rhythmogenesis in different physiological conditions.

Obesity decreases energy and protein intake in hospitalized COVID-19 patients undergoing continuous positive airway pressure treatment.

Patients with SARS-CoV generally require noninvasive treatments including continuous positive airway pressure (CPAP), and appropriate nutritional therapy. Our hypothesis was that a higher body mass index (BMI) would result in greater respiratory difficulties during CPAP treatment and lead to a reduction in energy and protein intake. The study was conducted prospectively and retrospectively in a Brazilian public hospital. The sample comprised all patients (n = 70) hospitalized in COVID-19 wards and using the Elmo System (ELMO) helmet. To ensure proper nutritional support, the hospital established a standard ELMO diet and questionnaire for estimating dietary adherence. The median length of stay was 11 days (interquartile range, 9-20), and 84.3% of the patients received hospital discharge. The median duration of helmet use was 1.5 days (interquartile range, 1-4). From mid-upper arm circumference adequacy measurements, 35 patients (50%) were classified as being overweight or living with obesity and 36 adult patients (66.7%) were considered living with obesity based on their BMI. The prevalence of overweight elderly patients was 81.3%. The median energy and protein intake adequacy percentages were 65% and 72.5%, respectively. Patients with higher BMIs exhibited lower oxygen flows while wearing the ELMO helmet. Younger age and lower energy and protein intake characterized the obesity group. A correlation between oxygen therapy and food intake in COVID-19 patients undergoing CPAP treatment was observed. Patients with higher BMIs and/or mid-upper arm circumference adequacies were more susceptible to energy and protein intake declines, and patients with obesity presented the lowest intake values.

Polyunsaturated Fatty Acid-Derived Lipid Mediators as Potential Biomarkers for Leprosy Among Individuals with Asymptomatic Mycobacterium leprae Infection.

Intra-household contacts (HCs) of leprosy patients are at increased risk of infection by Mycobacterium leprae and about ∼5-10% will develop active disease. A prognostic tool to identify HCs with the greatest risk of progressing to active disease would enhance early leprosy diagnosis and optimize prophylactic intervention. Previous metabolomics studies suggest that host lipid mediators derived from ω-3 and ω-6 polyunsaturated fatty acids (PUFAs) are potential biomarkers for leprosy. In this study, we investigated retrospective sera of leprosy HCs by liquid chromatography-mass spectrometry and enzyme-linked immunoassay to determine whether circulating levels of ω-3 and ω-6 PUFA metabolites were altered in HCs that developed leprosy (HCDL) in comparison to those that did not (HCNDL). Sera were collected from HCs at the time of index case diagnosis and before clinical signs/symptoms of leprosy. Our findings showed that HCDL sera exhibited a distinct metabolic profile in comparison to HCDNL. Specifically, arachidonic acid, leukotriene B4, 11-hydroxyeicosatetraenoic acid, prostaglandin D2, and lipoxin A4 were elevated in HCDL. In contrast, prostaglandin E2 levels were reduced in HCDL. The ω-3 PUFAs, docosahexaenoic acid, eicosapentaenoic acid, and the docosahexaenoic acid-derived resolvin D1 and maresin-1 were also elevated in HCDL individuals compared to HCNDL. Principal component analyses provided further evidence that lipid mediators could serve as an early biomarker for progression to active leprosy. A logistic model identified resolvin D1 and D2, and prostaglandin D2 as having the greatest potential for early detection of HCs that will manifest leprosy.

Anamnesis ambiental como parte de la consulta pediátrica: estudio piloto / Environmental history-taking as part of pediatric consultations: a pilot study

Introducción. La salud ambiental infantil es la rama de la pediatría que estudia la influencia del medioambiente en la salud y la enfermedad de los niños. Las exposiciones ambientales globales representan una seria amenaza para la salud, lo que justifica una mayor investigación y acción. Objetivo. Evaluar la salud ambiental de una muestra de niños que viven en áreas urbanas y rurales de la ciudad de Uruguaiana, Brasil. Población y métodos. Se incluyeron padres/tutores (n = 714) de niños atendidos en el Policlínico Infantil de la Ciudad de Uruguaiana de enero a octubre de 2021, que respondieron la anamnesis ambiental en pediatría (Sociedad Brasileña de Pediatría). Los datos obtenidos se analizaron según la residencia en zona urbana o rural, o el ingreso familiar. Resultados. Al comparar los habitantes de la zona urbana (n = 660) con los de la zona rural (n = 54), verificamos que entre los de la zona rural fue significativamente mayor la actividad con productos químicos (15 % vs. 32,7 %; p = 0,004), vivir cerca de plantación (7,5 % vs. 74,5 %; p <0,001) o con fuente de contaminación (4,8 % vs. 32,7 %; p <0,001), tener perro (62 % vs. 87,3 %; p <0,001), usar plaguicidas (0,6 % vs. 32,7 %; p <0,001) y exposición a contaminación química (2,6 % vs. 18,2 %; p <0,001). En el área urbana predominó la exposición al tránsito de vehículos cerca de la vivienda (85 % vs. 48,1 %; p <0,001), renta media inferior a 3 salarios mínimos (90 %) y baja escolaridad. Conclusión. Realizar la anamnesis ambiental es fundamental para la detección de amenazas ambientales presentes en los lugares donde los niños y adolescentes viven, aprenden, juegan y estudian.

Introduction. Children's environmental health studies the influence of the environment on health and disease in children. Global environmental exposures pose a serious threat to health, warranting further research and action. Objective. To assess the environmental health of a sample of children living in urban and rural areas in Uruguaiana, Brazil. Population and methods. We included parents/legal guardians (n = 714) of children seen at Policlinica Infantil de Uruguaiana between January and October 2021, who completed the environmental history- taking in pediatrics (Brazilian Society of Pediatrics). Collected data were analyzed based on place of residence (urban or rural) or household income. Results. The comparison between inhabitants of the urban area (n = 660) and the rural area (n = 54) established that, among those living in the rural area, activity with chemical substances (15% versus 32.7%; p = 0.004), living near a plantation (7.5% versus 74.5%; p < 0.001) or near a source of contamination (4.8% versus 32.7%; p < 0.001), having a dog (62% versus 87.3%; p < 0.001), using pesticides (0.6% versus 32.7%; p < 0.001), and exposure to chemical contamination (2.6% versus 18.2%; p < 0.001) were significantly higher. In the urban area, exposure to vehicle traffic near the house (85% versus 48.1%; p < 0.001), an average income below 3 minimum wages (90%), and a low level of education predominated. Conclusion. Environmental history-taking is critical for the detection of environmental threats present in the areas where children and adolescents live, learn, play, and study

The carbon sink of secondary and degraded humid tropical forests.

The globally important carbon sink of intact, old-growth tropical humid forests is declining because of climate change, deforestation and degradation from fire and logging1-3. Recovering tropical secondary and degraded forests now cover about 10% of the tropical forest area4, but how much carbon they accumulate remains uncertain. Here we quantify the aboveground carbon (AGC) sink of recovering forests across three main continuous tropical humid regions: the Amazon, Borneo and Central Africa5,6. On the basis of satellite data products4,7, our analysis encompasses the heterogeneous spatial and temporal patterns of growth in degraded and secondary forests, influenced by key environmental and anthropogenic drivers. In the first 20 years of recovery, regrowth rates in Borneo were up to 45% and 58% higher than in Central Africa and the Amazon, respectively. This is due to variables such as temperature, water deficit and disturbance regimes. We find that regrowing degraded and secondary forests accumulated 107 Tg C year-1 (90-130 Tg C year-1) between 1984 and 2018, counterbalancing 26% (21-34%) of carbon emissions from humid tropical forest loss during the same period. Protecting old-growth forests is therefore a priority. Furthermore, we estimate that conserving recovering degraded and secondary forests can have a feasible future carbon sink potential of 53 Tg C year-1 (44-62 Tg C year-1) across the main tropical regions studied.

P2X3 receptor antagonism attenuates the progression of heart failure.

Despite advances in the treatment of heart failure, prognosis is poor, mortality high and there remains no cure. Heart failure is associated with reduced cardiac pump function, autonomic dysregulation, systemic inflammation and sleep-disordered breathing; these morbidities are exacerbated by peripheral chemoreceptor dysfunction. We reveal that in heart failure the carotid body generates spontaneous, episodic burst discharges coincident with the onset of disordered breathing in male rats. Purinergic (P2X3) receptors were upregulated two-fold in peripheral chemosensory afferents in heart failure, and when antagonized abolished these episodic discharges, normalized both peripheral chemoreceptor sensitivity and the breathing pattern, reinstated autonomic balance, improved cardiac function, and reduced both inflammation and biomarkers of cardiac failure. Aberrant ATP transmission in the carotid body triggers episodic discharges that via P2X3 receptors play a crucial role in the progression of heart failure and as such offer a distinct therapeutic angle to reverse multiple components of its pathogenesis.

Environmental history-taking as part of pediatric consultations: a pilot study. / Anamnesis ambiental como parte de la consulta pediátrica: estudio piloto.

Introduction. Children's environmental health studies the influence of the environment on health and disease in children. Global environmental exposures pose a serious threat to health, warranting further research and action. Objective. To assess the environmental health of a sample of children living in urban and rural areas in Uruguaiana, Brazil. Population and methods. We included parents/legal guardians (n = 714) of children seen at Policlinica Infantil de Uruguaiana between January and October 2021, who completed the environmental historytaking in pediatrics (Brazilian Society of Pediatrics). Collected data were analyzed based on place of residence (urban or rural) or household income. Results. The comparison between inhabitants of the urban area (n = 660) and the rural area (n = 54) established that, among those living in the rural area, activity with chemical substances (15% versus 32.7%; p = 0.004), living near a plantation (7.5% versus 74.5%; p < 0.001) or near a source of contamination (4.8% versus 32.7%; p < 0.001), having a dog (62% versus 87.3%; p < 0.001), using pesticides (0.6% versus 32.7%; p < 0.001), and exposure to chemical contamination (2.6% versus 18.2%; p < 0.001) were significantly higher. In the urban area, exposure to vehicle traffic near the house (85% versus 48.1%; p < 0.001), an average income below 3 minimum wages (90%), and a low level of education predominated. Conclusion. Environmental history-taking is critical for the detection of environmental threats present in the areas where children and adolescents live, learn, play, and study.

Introducción. La salud ambiental infantil es la rama de la pediatría que estudia la influencia del medioambiente en la salud y la enfermedad de los niños. Las exposiciones ambientales globales representan una seria amenaza para la salud, lo que justifica una mayor investigación y acción. Objetivo. Evaluar la salud ambiental de una muestra de niños que viven en áreas urbanas y rurales de la ciudad de Uruguaiana, Brasil. Población y métodos. Se incluyeron padres/tutores (n = 714) de niños atendidos en el Policlínico Infantil de la Ciudad de Uruguaiana de enero a octubre de 2021, que respondieron la anamnesis ambiental en pediatría (Sociedad Brasileña de Pediatría). Los datos obtenidos se analizaron según la residencia en zona urbana o rural, o el ingreso familiar. Resultados. Al comparar los habitantes de la zona urbana (n = 660) con los de la zona rural (n = 54), verificamos que entre los de la zona rural fue significativamente mayor la actividad con productos químicos (15 % vs. 32,7 %; p = 0,004), vivir cerca de plantación (7,5 % vs. 74,5 %; p <0,001) o con fuente de contaminación (4,8 % vs. 32,7 %; p <0,001), tener perro (62 % vs. 87,3 %; p <0,001), usar plaguicidas (0,6 % vs. 32,7 %; p <0,001) y exposición a contaminación química (2,6 % vs. 18,2 %; p <0,001). En el área urbana predominó la exposición al tránsito de vehículos cerca de la vivienda (85 % vs. 48,1 %; p <0,001), renta media inferior a 3 salarios mínimos (90 %) y baja escolaridad. Conclusión. Realizar la anamnesis ambiental es fundamental para la detección de amenazas ambientales presentes en los lugares donde los niños y adolescentes viven, aprenden, juegan y estudian.

Machine learning for atrial fibrillation risk prediction in patients with sleep apnea and coronary artery disease.

Background: Patients with sleep apnea (SA) and coronary artery disease (CAD) are at higher risk of atrial fibrillation (AF) than the general population. Our objectives were: to evaluate the role of CAD and SA in determining AF risk through cluster and survival analysis, and to develop a risk model for predicting AF. Methods: Electronic medical record (EMR) database from 22,302 individuals including 10,202 individuals with AF, CAD, and SA, and 12,100 individuals without these diseases were analyzed using K-means clustering technique; k-nearest neighbor (kNN) algorithm and survival analysis. Age, sex, and diseases developed for each individual during 9 years were used for cluster and survival analysis. Results: The risk models for AF, CAD, and SA were identified with high accuracy and sensitivity (0.98). Cluster analysis showed that CAD and high blood pressure (HBP) are the most prevalent diseases in the AF group, HBP is the most prevalent disease in CAD; and HBP and CAD are the most prevalent diseases in the SA group. Survival analysis demonstrated that individuals with HBP, CAD, and SA had a 1.5-fold increased risk of developing AF [hazard ratio (HR): 1.49, 95% CI: 1.18-1.87, p = 0.0041; HR: 1.46, 95% CI: 1.09-1.96, p = 0.01; HR: 1.54, 95% CI: 1.22-1.94, p = 0.0039, respectively] and individuals with chronic kidney disease (CKD) developed AF approximately 50% earlier than patients without these comorbidities in a period of 7 years (HR: 3.36, 95% CI: 1.46-7.73, p = 0.0023). Comorbidities that contributed to develop AF earlier in females compared to males in the group of 50-64 years were HBP (HR: 3.75 95% CI: 1.08-13, p = 0.04) CAD and SA in the group of 60-75 years were (HR: 2.4 95% CI: 1.18-4.86, p = 0.02; HR: 2.51, 95% CI: 1.14-5.52, p = 0.02, respectively). Conclusion: Machine learning based algorithms demonstrated that CAD, SA, HBP, and CKD are significant risk factors for developing AF in a Latin-American population.

Co-limitation towards lower latitudes shapes global forest diversity gradients.

The latitudinal diversity gradient (LDG) is one of the most recognized global patterns of species richness exhibited across a wide range of taxa. Numerous hypotheses have been proposed in the past two centuries to explain LDG, but rigorous tests of the drivers of LDGs have been limited by a lack of high-quality global species richness data. Here we produce a high-resolution (0.025° × 0.025°) map of local tree species richness using a global forest inventory database with individual tree information and local biophysical characteristics from ~1.3 million sample plots. We then quantify drivers of local tree species richness patterns across latitudes. Generally, annual mean temperature was a dominant predictor of tree species richness, which is most consistent with the metabolic theory of biodiversity (MTB). However, MTB underestimated LDG in the tropics, where high species richness was also moderated by topographic, soil and anthropogenic factors operating at local scales. Given that local landscape variables operate synergistically with bioclimatic factors in shaping the global LDG pattern, we suggest that MTB be extended to account for co-limitation by subordinate drivers.

Th17 cell-linked mechanisms mediate vascular dysfunction induced by testosterone in a mouse model of gender-affirming hormone therapy.

Clinical data point to adverse cardiovascular events elicited by testosterone replacement therapy. Testosterone is the main hormone used in gender-affirming hormone therapy (GAHT) by transmasculine people. However, the cardiovascular impact of testosterone in experimental models of GAHT remains unknown. Sex hormones modulate T-cell activation, and immune mechanisms contribute to cardiovascular risk. The present study evaluated whether testosterone negatively impacts female cardiovascular function by enhancing Th17 cell-linked effector mechanisms. Female (8 wk old) C57BL/6J mice received testosterone (48 mg/kg/wk) for 8 wk. Male mice were used for phenotypical comparisons. The hormone treatment in female mice increased circulating testosterone to levels observed in male mice. Testosterone increased lean body mass and body mass index, and decreased perigonadal fat mass, mimicking clinical findings. After 8 wk, testosterone decreased endothelium-dependent vasodilation and increased peripheral Th17 cells. After 24 wk, testosterone increased blood pressure in female mice. Ovariectomy did not intensify phenotypical or cardiovascular effects by testosterone. Female mice lacking T and B cells [Rag1 knockout (-/-)], as well as female mice lacking IL-17 receptor (IL-17Ra-/-), did not exhibit vascular dysfunction induced by testosterone. Testosterone impaired endothelium-dependent vasodilation in female mice lacking γδ T cells, similarly to the observed in wild-type female mice. Adoptive transfer of CD4+ T cells restored testosterone-induced vascular dysfunction in Rag1-/- female mice. Together, these data suggest that CD4+ T cells, most likely Th17 cells, are central to vascular dysfunction induced by testosterone in female mice, indicating that changes in immune-cell balance are important in the GAHT in transmasculine people.NEW & NOTEWORTHY Sex hormone-induced cardiovascular events are important undesirable effects in transgender people under GAHT. Studies addressing the cardiovascular impact of GAHT will certainly contribute to improve healthcare services offered to this population. Our study showing that vascular dysfunction, via Th17 cell-related mechanisms, precedes increased blood pressure induced by testosterone in a GAHT mouse model, reveals potential mechanisms involved in GAHT-related cardiovascular events and may provide new markers/targets for clinical practices in transmasculine people.

Metabolomic Evaluation of Chronic Periodontal Disease in Older Adults.

Periodontal disease is an infectious inflammatory disease related to the destruction of supporting tissues of the teeth, leading to a functional loss of the teeth. Inflammatory molecules present in the exudate are catalyzed and form different metabolites that can be identified and quantified. Thus, we evaluated the inflammatory exudate present in crevicular fluid to identify metabolic biological markers for diagnosing chronic periodontal disease in older adults. Research participants were selected from long-term institutions in Brazil. Participants were individuals aged 65 years or older, healthy, or with chronic periodontal disease. Gas chromatography/mass spectrometry was used to evaluate potential biomarkers in 120 crevicular fluid samples. We identified 969 metabolites in the individuals. Of these, 15 metabolites showed a variable importance with projection score > 1 and were associated with periodontal disease. Further analysis showed that among the 15 metabolites, two (5-aminovaleric acid and serine, 3TMS derivative) were found at higher concentrations in the crevicular fluid, indicating their potential diagnostic power for periodontal disease in older adults. Our findings indicated that some metabolites are present at high concentrations in the crevicular fluid in older adults with periodontal disease and can be used as biomarkers of periodontal disease.

Does Interrupting Prolonged Sitting With 10- or 20-Min Standing Attenuate Postprandial Glycemia and Blood Pressure in Middle-Aged and Older Adults With Type 2 Diabetes?

We carried out three types of 2-hr experimental sessions with middle-aged and older adults with Type 2 diabetes in order to examine the acute effect of interrupting prolonged sitting with varying periods of standing on postprandial glycemia and blood pressure (BP): (a) prolonged sitting after breakfast; (b) standing for 10 min, 30 min after breakfast; and (c) standing for 20 min, 30 min after breakfast. Glucose and BP were assessed before and after breakfast. A generalized linear model revealed no significant differences for the incremental area under the curve of glucose between standing for 10 min, 30 min after breakfast, versus prolonged sitting after breakfast (ß = -4.5 mg/dl/2 hr, 95% CI [-17.3, 8.4]) and standing for 20 min, 30 min after breakfast, versus prolonged sitting after breakfast (ß = 0.9 mg/dl/2 hr, 95% CI [-11.9, 13.7]). There was no difference in area under the curve of systolic and diastolic BP among the sessions. Interrupting prolonged sitting time with 10 or 20 min of standing 30 min after breakfast does not attenuate postprandial glycemia or BP in middle-aged and older adults with Type 2 diabetes.

Advanced EEG-based learning approaches to predict schizophrenia: Promises and pitfalls.

The complexity and heterogeneity of schizophrenia symptoms challenge an objective diagnosis, which is typically based on behavioral and clinical manifestations. Moreover, the boundaries of schizophrenia are not precisely demarcated from other nosologic categories, such as bipolar disorder. The early detection of schizophrenia can lead to a more effective treatment, improving patients' quality of life. Over the last decades, hundreds of studies aimed at specifying the neurobiological mechanisms that underpin clinical manifestations of schizophrenia, using techniques such as electroencephalography (EEG). Changes in event-related potentials of the EEG have been associated with sensory and cognitive deficits and proposed as biomarkers of schizophrenia. Besides contributing to a more effective diagnosis, biomarkers can be crucial to schizophrenia onset prediction and prognosis. However, any proposed biomarker requires substantial clinical research to prove its validity and cost-effectiveness. Fueled by developments in computational neuroscience, automatic classification of schizophrenia at different stages (prodromal, first episode, chronic) has been attempted, using brain imaging pattern recognition methods to capture differences in functional brain activity. Advanced learning techniques have been studied for this purpose, with promising results. This review provides an overview of recent machine learning-based methods for schizophrenia classification using EEG data, discussing their potentialities and limitations. This review is intended to serve as a starting point for future developments of effective EEG-based models that might predict the onset of schizophrenia, identify subjects at high-risk of psychosis conversion or differentiate schizophrenia from other disorders, promoting more effective early interventions.