Chloroplast phosphate transporter CrPHT4-7 regulates phosphate homeostasis and photosynthesis in Chlamydomonas.

In eukaryotic cells, phosphorus is assimilated and utilized primarily as phosphate (Pi). Pi homeostasis is mediated by transporters that have not yet been adequately characterized in green algae. This study reports on PHOSPHATE TRANSPORTER 4-7 (CrPHT4-7) from Chlamydomonas reinhardtii, a member of the PHT4 transporter family, which exhibits remarkable similarity to AtPHT4;4 from Arabidopsis (Arabidopsis thaliana), a chloroplastic ascorbate transporter. Using fluorescent protein tagging, we show that CrPHT4-7 resides in the chloroplast envelope membrane. Crpht4-7 mutants, generated by the CRISPR/Cas12a-mediated single-strand templated repair, show retarded growth, especially in high light, reduced ATP level, strong ascorbate accumulation, and diminished non-photochemical quenching in high light. On the other hand, total cellular phosphorous content was unaffected, and the phenotype of the Crpht4-7 mutants could not be alleviated by ample Pi supply. CrPHT4-7-overexpressing lines exhibit enhanced biomass accumulation under high light conditions in comparison with the wild-type strain. Expressing CrPHT4-7 in a yeast (Saccharomyces cerevisiae) strain lacking Pi transporters substantially recovered its slow growth phenotype, demonstrating that CrPHT4-7 transports Pi. Even though CrPHT4-7 shows a high degree of similarity to AtPHT4;4, it does not display any substantial ascorbate transport activity in yeast or intact algal cells. Thus, the results demonstrate that CrPHT4-7 functions as a chloroplastic Pi transporter essential for maintaining Pi homeostasis and photosynthesis in C. reinhardtii.

Usefulness of receptor binding domain protein-based serodiagnosis of COVID-19.

Objectives: This study evaluated the performance of recombinant receptor binding domain (RBD) protein-based enzyme-linked immunosorbent assays (RBD-ELISAs) for detecting anti-SARS-CoV-2 immunoglobulin (Ig) G and IgM antibodies. Methods: In this study, 705 sera from SARS-CoV-2-infected individuals and 315 sera from healthy individuals were analyzed. Results: The RBD-ELISA IgG exhibited high specificity (99.1%) and moderate sensitivity (48.0%), with an overall diagnostic accuracy of 73.5%. RBD-ELISA IgM demonstrated specificity at 94.6% and sensitivity at 51.1%, with an accuracy of 72.8%. Both assays displayed improved performance when analyzing samples collected 15-21 days post-symptom onset, achieving sensitivity and accuracy exceeding 88% and 90%, respectively. Combining RBD-ELISA IgG and IgM in parallel analysis enhanced sensitivity to 98.6% and accuracy to 96.2%. Comparing these RBD-ELISAs with commercially available tests, the study found overlapping sensitivity and similar specificity values. Notably, the combined RBD-ELISA IgG and IgM showed superior performance. Cross-reactivity analysis revealed low false-positive rates (4.4% for IgG, 3.7% for IgM), primarily with viral infections. Conclusion: This research underscores the potential of RBD-based ELISAs for COVID-19 diagnosis, especially when assessing samples collected 15-21 days post-symptom onset and utilizing a parallel testing approach. The RBD protein's immunogenicity and specificity make it a valuable tool for serodiagnosis, offering an alternative to polymerase chain reaction-based methods, particularly in resource-limited settings.

Randomized clinical trials of physical therapy for cerebral palsy: a review of study outcomes, methodological quality, and publication merits.

The study aimed to examine the main characteristics of clinical trials of motor interventions in physical therapy in children with cerebral palsy (CP). The Physiotherapy Evidence Database (PEDro) was used to collect information on clinical trials regarding motor outcomes in physical therapy in children with CP. Two reviewers independently screened, selected the studies, and extracted data. The characteristics extracted were CP subtype; age group; gross motor function and manual motor ability; methodological quality; open access status; 2020 journal impact factor, Consolidated Standards of Reporting Trials (CONSORT) endorsement; primary outcome; intervention adopted, and assessment instruments. The search strategy resulted in 313 articles from 120 different journals. Most of the clinical trials included participants with spastic bilateral subtype, aged between 6 and 12 years old, and with fewer limitations in gross and manual motor abilities. The most used primary outcomes covering the International Classification of Functioning, Disability and Health (ICF) domain of activity were gross motor function (18.8%) and upper limb and hand function (16.3%), with the Gross Motor Function Measurement being the most frequently used instrument (19.8%). Articles with better scores on the PEDro scale were published in journals with a higher impact factor, and higher rates of CONSORT endorsement, and most were not open access. Clinical trials investigating motor interventions used in physical therapy for children with CP tend to focus on patients with milder gross and manual motor function impairments and often explore the body function domain of the ICF. Furthermore, these studies have moderate methodological quality, and a substantial proportion of them fail to follow adequate reporting and methodological recommendations.

The lifetime of the oxygen-evolving complex subunit PSBO depends on light intensity and carbon availability in Chlamydomonas.

PSBO is essential for the assembly of the oxygen-evolving complex in plants and green algae. Despite its importance, we lack essential information on its lifetime and how it depends on the environmental conditions. We have generated nitrate-inducible PSBO amiRNA lines in the green alga Chlamydomonas reinhardtii. Transgenic strains grew normally under non-inducing conditions, and their photosynthetic performance was comparable to the control strain. Upon induction of the PSBO amiRNA constructs, cell division halted. In acetate-containing medium, cellular PSBO protein levels decreased by 60% within 24 h in the dark, by 75% in moderate light, and in high light, the protein completely degraded. Consequently, the photosynthetic apparatus became strongly damaged, probably due to 'donor-side-induced photoinhibition', and cellular ultrastructure was also severely affected. However, in the absence of acetate during induction, PSBO was remarkably stable at all light intensities and less substantial changes occurred in photosynthesis. Our results demonstrate that the lifetime of PSBO strongly depends on the light intensity and carbon availability, and thus, on the metabolic status of the cells. We also confirm that PSBO is required for photosystem II stability in C. reinhardtii and demonstrate that its specific loss also entails substantial changes in cell morphology and cell cycle.

Algal photosystem I dimer and high-resolution model of PSI-plastocyanin complex.

Photosystem I (PSI) enables photo-electron transfer and regulates photosynthesis in the bioenergetic membranes of cyanobacteria and chloroplasts. Being a multi-subunit complex, its macromolecular organization affects the dynamics of photosynthetic membranes. Here we reveal a chloroplast PSI from the green alga Chlamydomonas reinhardtii that is organized as a homodimer, comprising 40 protein subunits with 118 transmembrane helices that provide scaffold for 568 pigments. Cryogenic electron microscopy identified that the absence of PsaH and Lhca2 gives rise to a head-to-head relative orientation of the PSI-light-harvesting complex I monomers in a way that is essentially different from the oligomer formation in cyanobacteria. The light-harvesting protein Lhca9 is the key element for mediating this dimerization. The interface between the monomers is lacking PsaH and thus partially overlaps with the surface area that would bind one of the light-harvesting complex II complexes in state transitions. We also define the most accurate available PSI-light-harvesting complex I model at 2.3 Å resolution, including a flexibly bound electron donor plastocyanin, and assign correct identities and orientations to all the pigments, as well as 621 water molecules that affect energy transfer pathways.

Characteristics and perceptions of telerehabilitation consultations by neuropediatric physical therapists during the COVID-19 pandemic / Características e percepções das consultas por telerreabilitação pelos fisioterapeutas neuropediátricos durante a pandemia da COVID-19

Abstract Introduction: The COVID-19 pandemic brought a strong discussion about telerehabilitation, especially in countries where its practice was not allowed previous the pandemic. In the neuropediatric rehabilitation field evidence of the effectiveness of this modality of assistance and data about provider and family's perceptions are scarce. Objective: To evaluate the characteristics of telerehabilitation physical therapy consultations for children with neurological diseases during the COVID-19 pandemic and report the perceptions of physical therapists about this modality of assistance. Methods: An online survey was created and administered to Brazilian neuropediatric physical therapists. The survey consisted of demographics data, questions about the characteristics of telerehabilitation consultations, and physical therapists' perception of telerehabilitation assistance. Results: From July to September 2020, 394 physical therapists responded to the questionnaire. The most of them took 21 to 30 minutes per telemonitoring session (26.9%), offered one session per week (61.0%), and used electronic messages as the main method of delivery (39.9%). The main difficulty reported was caregivers' lack of understanding about handling during sessions (41.2%) and problems with internet connection (16.7%). Additionally, most of them reported that it is highly important important to provide healthcare via telerehabilitation to the economically disadvantaged. Conclusion: The findings of this study provide insight into the complex and challenging process of telerehabilitation assistance during the first wave of the COVID-19 pandemic. Despite the reported challenges, telerehabilitation can be an opportunity to better understand children's activities and participation in home context.

Resumo Introdução: A pandemia da COVID-19 trouxe uma forte discussão sobre o uso da telerreabilitação, especialmente em países onde a sua prática ainda não havia sido permitida antes da pandemia. Na área da reabilitação neuropediátrica as evidências sobre a efetividade dessa modalidade de atendimento e informações sobre as percepções dos provedores e família são escassas. Objetivo: Avaliar as características das consultas fisioterapêuticas por telerreabilitação em crianças com condições neurológicas durante a pandemia de COVID-19 e relatar as percepções dos fisioterapeutas sobre essa modalidade de atendimento. Métodos: Um questionário online foi criado e administrado para fisioterapeutas neuropediátricos brasileiros. O questionário consistiu em dados demográficos, questões sobre as características das consultas por telerreabilitação e percepção dos fisioterapeutas sobre a assistência via telerreabilitação. Resultados: Entre julho e setembro de 2020, 394 fisioterapeutas responderam o questionário. A maioria dos fisioterapeutas levaram de 21 a 30 minutos por sessão (26,9%), ofereceram uma sessão por semana (61,0%) e usaram mensagens eletrônicas como principal método de entrega (39,9%). A principal dificuldade reportada foi a falta de entendimento sobre os manuseios durante as sessões (41,2%) e problemas com a internet (16,7%). Além disso, a maioria reportou ser muito importante prover cuidados de saúde por telerreabilitação para a população economicamente menos favorecida. Conclusão: Os dados apresentados fornecem um entendimento do processo complexo e desafiador das consultas por telerreabilitação durante a primeira onda da pandemia da COVID-19. Apesar dos desafios reportados, a telerreabilitação pode ser uma oportunidade para melhor entender as atividades e participação das crianças no contexto do lar.

Validação de um Algoritmo de Inteligência Artificial para a Predição Diagnóstica de Doença Coronariana: Comparação com um Modelo Estatístico Tradicional / Validation of an Artificial Intelligence Algorithm for Diagnostic Prediction of Coronary Disease: Comparison with a Traditional Statistical Model

Resumo Fundamento: A análise prognóstica multivariada tem sido realizada tradicionalmente por modelos de regressão. No entanto, muitos algoritmos surgiram, capazes de traduzir uma infinidade de padrões em probabilidades. A acurácia dos modelos de inteligência artificial em comparação à de modelos estatísticos tradicionais não foi estabelecida na área médica. Objetivo: Testar a inteligência artificial como um algoritmo preciso na predição de doença coronariana no cenário de dor torácica aguda, e avaliar se seu desempenho é superior a do modelo estatístico tradicional. Métodos: Foi analisada uma amostra consecutiva de 962 pacientes admitidos com dor torácica. Dois modelos probabilísticos de doença coronariana foram construídos com os primeiros 2/3 dos pacientes: um algoritmo machine learning e um modelo logístico tradicional. O desempenho dessas duas estratégias preditivas foi avaliado no último terço de pacientes. O modelo final de regressão logística foi construído somente com variáveis significativas a um nível de significância de 5%. Resultados: A amostra de treinamento tinha idade média de 59 ± 15 anos, 58% do sexo masculino, e uma prevalência de doença coronariana de 52%. O modelo logístico foi composto de nove preditores independentes. O algoritmo machine learning foi composto por todos os candidatos a preditores. Na amostra teste, a área sob a curva ROC para predição de doença coronariana foi de 0,81 (IC95% = 0,77 - 0,86) para o algoritmo machine learning, similar à obtida no modelo logístico (0,82; IC95% = 0,77 - 0,87), p = 0,68. Conclusão: O presente estudo sugere que um modelo machine learning acurado não garante superioridade à um modelo estatístico tradicional

Abstract Background: Multivariate prognostic analysis has been traditionally performed by regression models. However, many algorithms capable of translating an infinity of patterns into probabilities have emerged. The comparative accuracy of artificial intelligence and traditional statistical models has not been established in the medical field. Objective: To test the artificial intelligence as an accurate algorithm for predicting coronary disease in the scenario of acute chest pain and evaluate whether its performance is superior to traditional statistical model. Methods: A consecutive sample of 962 patients admitted with chest pain was analyzed. Two probabilistic models of coronary disease were built using the first two-thirds of patients: a machine learning algorithm and a traditional logistic model. The performance of these two predictive strategies were evaluated in the remaining third of patients. The final logistic regression model had significant variables only, at the 5% significance level. Results: The training sample had an average age of 59 ± 15 years, 58% males, and a 52% prevalence of coronary disease. The logistic model was composed of nine independent predictors. The machine learning algorithm was composed of all candidates for predictors. In the test sample, the area under the ROC curve for prediction of coronary disease was 0.81 (95% CI = 0.77 - 0.86) for the machine learning algorithm, similar to that obtained in logistic model (0.82; 95% CI = 0.77 - 0.87), p = 0.68. Conclusion: The present study suggests that an accurate machine learning prediction tool did not prove to be superior to the statistical model of logistic regression.

Strength training during pregnancy influences hippocampal plasticity but not body development in neonatal rats.

OBJECTIVE: To describe the effects of strength exercise practice during pregnancy on the offspring's development parameters: growth and motor performance, hippocampal neuroplasticity, and stress levels. METHODS: Pregnant Wistar rats were divided into two groups: sedentary and exercised rats. Exercised pregnant rats were subjected to a strength training protocol (vertical ladder climbing) throughout the gestational period. Male offspring's body weight, length, and head size were evaluated during the neonatal period (postnatal days [P]2-P21), as well as motor milestones during P0-P8. At P8, a set of male pups were subjected to global hippocampal DNA methylation, hippocampal cell proliferation, and plasma corticosterone concentration. RESULTS: Offspring from trained mothers presented a transient change in body morphometric evaluations, no differences in milestone assessments, enhancement of cell proliferation in the dentate gyrus of the hippocampus, and decreased global hippocampal DNA methylation compared with the offspring from sedentary mothers. Furthermore, strength training during pregnancy did not change the corticosterone concentration of exercised mothers and their offspring. CONCLUSIONS: These data indicate that strength training can protect offspring's development and could impact positively on parameters linked to cognitive function. This study provides a greater understanding of the effects of strength exercise practiced during pregnancy on the offspring's health.

Thin cell layer cultures of Chlamydomonas reinhardtii L159I-N230Y, pgrl1 and pgr5 mutants perform enhanced hydrogen production at sunlight intensity.

Photobiological hydrogen (H2) production is a promising renewable energy source. HydA hydrogenases of green algae are efficient but O2-sensitive and compete for electrons with CO2-fixation. Recently, we established a photoautotrophic H2 production system based on anaerobic induction, where the Calvin-Benson cycle is inactive and O2 scavenged by an absorbent. Here, we employed thin layer cultures, resulting in a three-fold increase in H2 production relative to bulk CC-124 cultures (50 µg chlorophyll/ml, 350 µmol photons m-2 s-1). Productivity was maintained when increasing the light intensity to 1000 µmol photons m-2s-1 and the cell density to 150 µg chlorophyll/ml. Remarkably, the L159I-N230Y photosystem II mutant and the pgrl1 photosystem I cyclic electron transport mutant produced 50% more H2 than CC-124, while the pgr5 mutant generated 250% more (1.2 ml H2/ml culture in six days). The photosynthetic apparatus of the pgr5 mutant and its in vitro HydA activity remained remarkably stable.

Validation of an Artificial Intelligence Algorithm for Diagnostic Prediction of Coronary Disease: Comparison with a Traditional Statistical Model. / Validação de um Algoritmo de Inteligência Artificial para a Predição Diagnóstica de Doença Coronariana: Comparação com um Modelo Estatístico Tradicional.

BACKGROUND: Multivariate prognostic analysis has been traditionally performed by regression models. However, many algorithms capable of translating an infinity of patterns into probabilities have emerged. The comparative accuracy of artificial intelligence and traditional statistical models has not been established in the medical field. OBJECTIVE: To test the artificial intelligence as an accurate algorithm for predicting coronary disease in the scenario of acute chest pain and evaluate whether its performance is superior to traditional statistical model. METHODS: A consecutive sample of 962 patients admitted with chest pain was analyzed. Two probabilistic models of coronary disease were built using the first two-thirds of patients: a machine learning algorithm and a traditional logistic model. The performance of these two predictive strategies were evaluated in the remaining third of patients. The final logistic regression model had significant variables only, at the 5% significance level. RESULTS: The training sample had an average age of 59 ± 15 years, 58% males, and a 52% prevalence of coronary disease. The logistic model was composed of nine independent predictors. The machine learning algorithm was composed of all candidates for predictors. In the test sample, the area under the ROC curve for prediction of coronary disease was 0.81 (95% CI = 0.77 - 0.86) for the machine learning algorithm, similar to that obtained in logistic model (0.82; 95% CI = 0.77 - 0.87), p = 0.68. CONCLUSION: The present study suggests that an accurate machine learning prediction tool did not prove to be superior to the statistical model of logistic regression.

FUNDAMENTO: A análise prognóstica multivariada tem sido realizada tradicionalmente por modelos de regressão. No entanto, muitos algoritmos surgiram, capazes de traduzir uma infinidade de padrões em probabilidades. A acurácia dos modelos de inteligência artificial em comparação à de modelos estatísticos tradicionais não foi estabelecida na área médica. OBJETIVO: Testar a inteligência artificial como um algoritmo preciso na predição de doença coronariana no cenário de dor torácica aguda, e avaliar se seu desempenho é superior a do modelo estatístico tradicional. MÉTODOS: Foi analisada uma amostra consecutiva de 962 pacientes admitidos com dor torácica. Dois modelos probabilísticos de doença coronariana foram construídos com os primeiros 2/3 dos pacientes: um algoritmo machine learning e um modelo logístico tradicional. O desempenho dessas duas estratégias preditivas foi avaliado no último terço de pacientes. O modelo final de regressão logística foi construído somente com variáveis significativas a um nível de significância de 5%. RESULTADOS: A amostra de treinamento tinha idade média de 59 ± 15 anos, 58% do sexo masculino, e uma prevalência de doença coronariana de 52%. O modelo logístico foi composto de nove preditores independentes. O algoritmo machine learning foi composto por todos os candidatos a preditores. Na amostra teste, a área sob a curva ROC para predição de doença coronariana foi de 0,81 (IC95% = 0,77 ­ 0,86) para o algoritmo machine learning, similar à obtida no modelo logístico (0,82; IC95% = 0,77 ­ 0,87), p = 0,68. CONCLUSÃO: O presente estudo sugere que um modelo machine learning acurado não garante superioridade à um modelo estatístico tradicional.

Maternal resistance exercise promotes changes in neuroplastic and epigenetic marks of offspring's hippocampus during adult life.

Studies indicate that gestational exercise practice positively impacts the offspring's cognition. Nevertheless, the influence of maternal resistance exercise, different periods of exercise practice, and the inter- and transgenerational effects involved in these responses are not known. This study sought to report the influence of the maternal practice of resistance exercise on offspring's cognitive function, exploring behavior, and neuroplastic and epigenetic marks in the hippocampus. Female Wistar rats were divided into four groups: sedentary (SS), exercised during pregnancy (SE), exercised before pregnancy (ES), and exercised before and during pregnancy (EE). Exercised rats were submitted to a resistance exercise protocol (vertical ladder climbing). Between postnatal days (P)81 and P85, male offspring were submitted to the Morris water maze test. At P85, the following analyses were performed in offspring's hippocampus: expression of IGF-1 and BrdU+ cells, global DNA methylation, H3/H4 acetylation, and HDAC2 amount. Only the offspring of SE mothers presented subtly better performance on learning and memory tasks, associated with lower HDAC2 amount. Offspring from ES mothers presented an overexpression of hippocampal neuroplastic marks (BrdU+ and IGF-1), as well as a decrease of DNA methylation and an increase in H4 acetylation. Offspring from EE mothers (continuously exercised) did not present modifications in plasticity or epigenetic parameters. This is the first study to observe the influence of maternal resistance exercise on offspring's brains. The findings provide evidence that offspring's hippocampus plasticity is influenced by exercise performed in isolated periods (pre- or gestationally) more than that performed continually.

Ascorbate inactivates the oxygen-evolving complex in prolonged darkness.

Ascorbate (Asc, vitamin C) is an essential metabolite participating in multiple physiological processes of plants, including environmental stress management and development. In this study, we acquired knowledge on the role of Asc in dark-induced leaf senescence using Arabidopsis thaliana as a model organism. One of the earliest effects of prolonged darkness is the inactivation of oxygen-evolving complexes (OEC) as demonstrated here by fast chlorophyll a fluorescence and thermoluminescence measurements. We found that inactivation of OEC due to prolonged darkness was attenuated in the Asc-deficient vtc2-4 mutant. On the other hand, the severe photosynthetic phenotype of a psbo1 knockout mutant, lacking the major extrinsic OEC subunit PSBO1, was further aggravated upon a 24-h dark treatment. The psbr mutant, devoid of the PSBR subunit of OEC, performed only slightly disturbed photosynthetic activity under normal growth conditions, whereas it showed a strongly diminished B thermoluminescence band upon dark treatment. We have also generated a double psbo1 vtc2 mutant, and it showed a slightly milder photosynthetic phenotype than the single psbo1 mutant. Our results, therefore, suggest that Asc leads to the inactivation of OEC in prolonged darkness by over-reducing the Mn-complex that is probably enabled by a dark-induced dissociation of the extrinsic OEC subunits. Our study is an example that Asc may negatively affect certain cellular processes and thus its concentration and localization need to be highly controlled.

Ascorbate Deficiency Does Not Limit Nonphotochemical Quenching in Chlamydomonas reinhardtii.

Ascorbate (Asc; vitamin C) plays essential roles in development, signaling, hormone biosynthesis, regulation of gene expression, stress resistance, and photoprotection. In vascular plants, violaxanthin de-epoxidase requires Asc as a reductant; thereby, Asc is required for the energy-dependent component of nonphotochemical quenching (NPQ). To assess the role of Asc in NPQ in green algae, which are known to contain low amounts of Asc, we searched for an insertional Chlamydomonas reinhardtii mutant affected in theVTC2 gene encoding GDP-l-Gal phosphorylase, which catalyzes the first committed step in the biosynthesis of Asc. The Crvtc2-1 knockout mutant was viable and, depending on the growth conditions, contained 10% to 20% Asc relative to its wild type. When C. reinhardtii was grown photomixotrophically at moderate light, the zeaxanthin-dependent component of NPQ emerged upon strong red illumination both in the Crvtc2-1 mutant and in its wild type. Deepoxidation was unaffected by Asc deficiency, demonstrating that the Chlorophycean violaxanthin de-epoxidase found in C. reinhardtii does not require Asc as a reductant. The rapidly induced, energy-dependent NPQ component characteristic of photoautotrophic C. reinhardtii cultures grown at high light was not limited by Asc deficiency either. On the other hand, a reactive oxygen species-induced photoinhibitory NPQ component was greatly enhanced upon Asc deficiency, both under photomixotrophic and photoautotrophic conditions. These results demonstrate that Asc has distinct roles in NPQ formation in C. reinhardtii as compared to vascular plants.

Effects of Maternal Physical Exercise on Global DNA Methylation and Hippocampal Plasticity of Rat Male Offspring.

Intrauterine exposure to exercise is beneficial to cognition of the offspring. Although it is advisable to start practicing physical exercise during pregnancy, it is probable that practitioners or sedentary women keep their previous habits during gestation. This study was designed to evaluate the effects of maternal aerobic exercise initiated before and maintained during gestation, or performed in these isolated periods, on cognition and plasticity in the hippocampus of offspring. Groups of male pups were categorized by the exposure of their mothers to: treadmill off (sedentary, SS), pregestational exercise (ES), gestational exercise (SE) or combined protocols (EE). Between postnatal day 20 (P20) and P23 the offspring received one daily 5-bromo-2'-deoxiuridine (BrdU) injection and, from P47 to P51, were evaluated by the Morris water maze task. At P53, hippocampal global DNA methylation, survival of progenitor cells (BrdU), Brain-derived Neurotrophic Factor (BDNF) and reelin levels were measured. The offspring from ES, SE and EE mothers demonstrated improved spatial learning compared to SS, but hippocampal DNA methylation was significantly modified only in the offspring from ES mothers. The offspring from ES and SE mothers presented higher number of BrdU+ and reelin+ hippocampal cells than EE and SS. No differences were observed in the BDNF levels among the groups. The maternal pregestational and gestational isolated exercise protocols showed similar effects for offspring plasticity and spatial cognitive ability, while the combined protocol simply improved their spatial learning. Interestingly, only pregestational exercise was able to induce plasticity in the offspring hippocampus associated with modulation of global DNA methylation.

Severe Uncontrolled Maternal Hyperglycemia Induces Microsomia and Neurodevelopment Delay Accompanied by Apoptosis, Cellular Survival, and Neuroinflammatory Deregulation in Rat Offspring Hippocampus.

Maternal diabetes constitutes an unfavorable intrauterine environment for offspring development. Although it is known that diabetes can cause brain alterations and increased risk for neurologic disorders, the relationship between neuroimmune activation, brain changes, and neurodevelopment deficits in the offspring remains unclear. In order to elucidate the short- and long-term biological basis of the developmental outcomes caused by the severe uncontrolled maternal hyperglycemia, we studied apoptosis, neurogenesis, and neuroinflammation pathways in the hippocampus of neonates and young rats born to diabetic dams. Diabetes was induced on gestational day 5 by an injection of streptozotocin. Evaluations of milestones, body growth, and inhibitory avoidance were performed to monitor the offspring development and behavior. Hippocampal modifications were studied through cellular survival by BrdU in the dentate gyrus, expression of apoptosis-regulatory proteins (procaspase 3, caspase 3, and Bcl-2), BDNF, and neuroinflammatory modulation by interleukins, MHC-I, MHC-II, Iba-1, and GFAP proteins. Severe maternal diabetes caused microsomia and neurodevelopmental delay in pups and decrease of Bcl-2, procaspase 3, and caspase 3 in the hippocampus. Moreover, in a later stage of development, it was found an increase of TNF-α and a decrease of procaspase 3, caspase 3, MHC-I, IL-1ß, and BDNF in the hippocampus, as well as impairment in cellular survival in the dentate gyrus. This study showed significant short- and long-term commitments on the development, apoptosis, cell survival, and neuroinflammation in the offspring hippocampus induced by severe uncontrolled maternal hyperglycemia. The data reinforce the need for treatment of maternal hyperglycemic states during pregnancy and breast-feeding.

Neuregulin-1 attenuates right ventricular diastolic stiffness in experimental pulmonary hypertension.

We have previously shown that treatment with recombinant human neuregulin-1 (rhNRG-1) improves pulmonary arterial hypertension (PAH) in a monocrotaline (MCT)-induced animal model, by decreasing pulmonary arterial remodelling and endothelial dysfunction, as well as by restoring right ventricular (RV) function. Additionally, rhNRG-1 treatment showed direct myocardial anti-remodelling effects in a model of pressure loading of the RV without PAH. This work aimed to study the intrinsic cardiac effects of rhNRG-1 on experimental PAH and RV pressure overload, and more specifically on diastolic stiffness, at both the ventricular and cardiomyocyte level. We studied the effects of chronic rhNRG-1 treatment on ventricular passive stiffness in RV and LV samples from MCT-induced PAH animals and in the RV from animals with compensated and decompensated RV hypertrophy, through a mild and severe pulmonary artery banding (PAB). We also measured passive tension in isolated cardiomyocytes and quantified the expression of myocardial remodelling-associated genes and calcium handling proteins. Chronic rhNRG-1 treatment decreased passive tension development in RV and LV isolated from animals with MCT-induced PAH. This decrease was associated with increased phospholamban phosphorylation, and with attenuation of the expression of cardiac maladaptive remodelling markers. Finally, we showed that rhNRG-1 therapy decreased RV remodelling and cardiomyocyte passive tension development in PAB-induced RV hypertrophy animals, without compromising cardiac function, pointing to cardiac-specific effects in both hypertrophy stages. In conclusion, we demonstrated that rhNRG-1 treatment decreased RV intrinsic diastolic stiffness, through the improvement of calcium handling and cardiac remodelling signalling.

Paternal physical exercise modulates global DNA methylation status in the hippocampus of male rat offspring.

It is widely known that maternal physical exercise is able to induce beneficial improvements in offspring cognition; however, the effects of paternal exercise have not been explored in detail. The present study was designed to evaluate the impact of paternal physical exercise on memory and learning, neuroplasticity and DNA methylation levels in the hippocampus of male offspring. Adult male Wistar rats were divided into two groups: sedentary or exercised fathers. The paternal preconception exercise protocol consisted of treadmill running, 20 minutes daily, 5 consecutive days per week for 22 days, while the mothers were not trained. After mating, paternal sperm was collected for global DNA methylation analysis. At postnatal day 53, the offspring were euthanized, and the hippocampus was dissected to measure cell survival by 5-bromo-2'-deoxiuridine and to determine the expression of synaptophysin, reelin, brain-derived neurotrophic factor and global DNA methylation levels. To measure spatial memory and learning changes in offspring, the Morris water maze paradigm was used. There was an improvement in spatial learning, as well as a significant decrease in hippocampal global DNA methylation levels in the offspring from exercised fathers compared with those from sedentary ones; however, no changes were observed in neuroplasticity biomarkers brain-derived neurotrophic factor, reelin and 5-bromo-2'-deoxiuridine. Finally, the global DNA methylation of paternal sperm was not significantly changed by physical exercise. These results suggest a link between paternal preconception physical activity and cognitive benefit, which may be associated with hippocampal epigenetic programming in male offspring. However, the biological mechanisms of this modulation remain unclear.

Paternal physical exercise demethylates the hippocampal DNA of male pups without modifying the cognitive and physical development.

Maternal exercise is known to have beneficial effects in progeny development, but the influence of paternal exercise on the offspring still unclear. Since spermatogenesis is a continuous process, the father's life experiences can reprogram epigenetic content of the sperm and somehow interfere on offspring phenotype. This study was designed to evaluate the effects of paternal physical exercise on cognitive and physical development and on hippocampal DNA methylation levels of the offspring. Adult male Wistar rats were divided into two groups: sedentary and exercised. The exercise protocol occurred before mating and consisted of treadmill running, 5 consecutive days/week for 8 weeks (20 min/day). The mothers were not trained. The following developmental parameters were examined in male offspring: body growth, physical and cognitive performance, weights of adrenal glands, gonadal fat and hindlimb muscles, BDNF expression and global DNA methylation at the hippocampus. The progeny of trained and sedentary fathers did not differ in relation to physical parameters and performance, spatial memory and BDNF expression. However, paternal exercise promoted a decrease in offspring´s relative gonadal fat weight and a lower percentage of global hippocampal DNA methylation compared to offspring of sedentary fathers. These results pointed to interference of male physical activity at the time of conception on adiposity and hippocampal epigenetic reprogramming of male offspring. The data reinforces that exercise does not harm the descendant's development and emphasize the benefits to include the practice of physical exercise in a healthier lifestyle of the parents. Nevertheless, future studies are necessary and should investigate further the long-effects of epigenetic mechanisms in order to elucidate the father's contribution in fetal programming.