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This review focused on the protective mechanisms underlying hypoxic/ischemic preconditioning for neonatal brain after hypoxia-ischemia and emphasized on the important roles of hypoxia inducible factor 1 signaling pathway.Major depressive disorder (MDD) symptoms commonly occur after trauma-exposure, both alone and in combination with post-traumatic stress disorder (PTSD). This article reviews recent research on comorbidity between these disorders, including its implications for symptom severity and response to treatment. Despite considerable symptom overlap, the two disorders represent distinct constructs and depend, at least in part, on separate biological mechanisms. Both, however, are also clearly related to stress psychopathology. We recommend that more research focus specifically on the study of individual differences in symptom expression in order to identify distinct subgroups of individuals and develop targeted treatments. However, a barrier to this line of inquiry is the trend of excluding particular patients from clinical trials of new interventions based on symptom severity or comorbidity. Another obstacle is the overreliance on self-report measures in human research. We argue that developing computer-based behavioral measures in order to supplement self-report can help address this challenge. Furthermore, we propose that these measures can help tie findings from human and non-human animal research. A number of paradigms have been used to model MDD-and PTSD-like behavior in animals. These models remain valuable for understanding the biological basis of these disorders in humans and for identifying potential interventions, but they have been underused for the study of comorbidity. Although the interpretation of animal behavior remains a concern, we propose that this can also be overcome through the development of close human analogs to animal paradigms.This review assesses various sources regarding obsessive-compulsive disorder (OCD) symptoms and the coronavirus pandemic via a study of literature related to OCD conditions in the United States, China, the United Kingdom, and India. Coronavirus's morbidity and its status as a global pandemic transmittable from one person to another has subsequently intensified the personal perception of distress. The projected shortage of vital medical equipment to fight coronavirus due to daily increases in COVID-19 cases creates social unrest. The world confronts perpetual news about high numbers of coronavirus cases, more people in quarantine, and more deaths; those not infected feel increasing fear about its proximity. Social media, print media, and electronic sources offer much advice on how to prevent coronavirus infection. Pandemics extend beyond pathophysiology and medical phenomena to associations with intense psychosocial impact. Studies have established that people with existing mental disorders are prone to relapses, the fear of faulty COVID-19 prevention measures, distress, and suicidal thoughts during pandemics. Precautionary measures aim to slow the spread of coronavirus, but these radical repetitive measures create great anxiety in the mental health of individuals suffering from OCD. Despite the nature of their conditions, these people must adhere to routine processes, such as washing hands, wearing masks and gloves, and sanitizing hands. selleckchem Given the asymptomatic nature of people suffering from OCD, the routine measures for addressing COVID-19 have a hectic and adverse effect on their mental health and their state of relaxation. Through a systematic literature review, this paper provides insight into the coronavirus pandemic's implications for OCD symptoms.Air contamination influenced the human health and environmental well-being of the ecosystem. Particulate matter is a series of issues from major air pollutants in atmosphere. The aim of the review was to analyses the influence of particulate matter on human health and estimate the number of populations exposed to air pollution. The data analysed using the Environmental Benefits Mapping Analysis program model to selected African provinces. The review used 15% rollback data from the global burden disease and 5.8 µg/m³ the concentration of air pollutants from 1990 to 2013 years. The main findings of the study revealed that about 370 million (36.6%) population affected by air pollution. Besides, the risk factor associated with a population was 53,000 deaths per total population and 50,000 life-year losses. The economic value estimated to avoid a single case of particular matter on human health effect were estimated 14 billion dollars (US 2011). Priorities should be given to air quality management to improve the human and environmental health of ecosystems to reduce the global burden of disease of Africa regions.
To evaluate the predictive values of maternal characteristics, biophysical parameters (mean arterial pressure [MAP] and Doppler uterine artery measurements), and biochemical parameters (pregnancy-associated plasma protein A [PAPP-A] and placental growth factor [PlGF]) alone and in association for small-for-gestational age (SGA) fetuses.
We performed a retrospective analysis of a prospective observational study that evaluated 615 pregnant women in the first trimester using ultrasonography. For all the women, information regarding clinical and obstetric histories, MAP, and uterine artery mean pulsatility index (UtA-PI), and blood samples for analysis of biochemical markers (PAPP-A and PlGF) were obtained. The patients were grouped according to birth weight as follows group I (n=571), >10th percentile (control); group II (n=44), <10th percentile; and group III (n=34), <5th percentile. The predictive values of the variables for the detection of SGA fetuses were calculated using a logistic regression model and an analysis of the area under the receiver-operating characteristic curve (AUC).
The sensitivity rates of the maternal characteristics, biophysical markers (MAP and UtA-PI), biochemical markers (PAPP-A and PlGF), and the association between them were 23.3, 32.5, 25, and 30% respectively, at a false-positive (FP) rate of 10%, in group II and 26.5, 26.5, 23.5, and 23.5%, respectively, at a FP rate of 10% in group III.
The predictive performances of the combination of maternal characteristics and biophysical and biochemical parameters were unsatisfactory, with a slight improvement in the predictive capacity for SGA fetuses <10th percentile.
The predictive performances of the combination of maternal characteristics and biophysical and biochemical parameters were unsatisfactory, with a slight improvement in the predictive capacity for SGA fetuses less then 10th percentile.Objectives Pregnant women are more susceptible to certain infections; however, this increased susceptibility is not fully understood. Herein, systems biology approaches were utilized to elucidate how pregnancy modulates tissue-specific host responses to a bacterial product, endotoxin. Methods Pregnant and non-pregnant mice were injected with endotoxin or saline on 16.5 days post coitum (n=8-11 per group). The uterus, cervix, liver, adrenal gland, kidney, lung, and brain were collected 12 h after injection and transcriptomes were measured using microarrays. Heatmaps and principal component analysis were used for visualization. Differentially expressed genes between groups were assessed using linear models that included interaction terms to determine whether the effect of infection differed with pregnancy status. Pathway analysis was conducted to interpret gene expression changes. Results We report herein a multi-organ atlas of the transcript perturbations in pregnant and non-pregnant mice in response to endotoxin. Pregnancy strongly modified the host responses to endotoxin in the uterus, cervix, and liver. In contrast, pregnancy had a milder effect on the host response to endotoxin in the adrenal gland, lung, and kidney. However, pregnancy did not drastically affect the host response to endotoxin in the brain. Conclusions Pregnancy imprints organ-specific host immune responses upon endotoxin exposure. These findings provide insight into the host-response against microbes during pregnancy.
To evaluate the serum levels of the serine proteinase inhibitor kallistatin in women with preeclampsia (PE).
The clinical and laboratory parameters of 55 consecutive women with early-onset PE (EOPE) and 55 consecutive women with late-onset PE (LOPE) were compared with 110 consecutive gestational age (GA)-matched (±1week) pregnant women with an uncomplicated pregnancy and an appropriate for gestational age fetus.
Mean serum kallistatin was significantly lower in women with PE compared to the GA-matched-controls (27.74±8.29ng/mL vs. 37.86±20.64ng/mL, p<0.001); in women with EOPE compared to that of women in the control group GA-matched for EOPE (24.85±6.65ng/mL vs. 33.37±17.46ng/mL, p=0.002); and in women with LOPE compared to that of women in the control group GA-matched for LOPE (30.87±8.81ng/mL vs. 42.25±22.67ng/mL, p=0.002). Mean serum kallistatin was significantly lower in women with EOPE compared to LOPE (24.85±6.65ng/mL vs. 30.87±8.81ng/mL, p<0.001). Serum kallistatin had negative correlations with systolic and diastolic blood pressure, creatinine, and positive correlation with GA at sampling and GA at birth.
Serum kallistatin levels are decreased in preeclamptic pregnancies compared to the GA-matched-controls. This decrease was also significant in women with EOPE compared to LOPE. Serum kallistatin had negative correlation with systolic and diastolic blood pressure, creatinine and positive correlation with GA at sampling and GA at birth.
Serum kallistatin levels are decreased in preeclamptic pregnancies compared to the GA-matched-controls. This decrease was also significant in women with EOPE compared to LOPE. Serum kallistatin had negative correlation with systolic and diastolic blood pressure, creatinine and positive correlation with GA at sampling and GA at birth.
The maternal body size affects birth weight. The impact on birth weight percentiles is unknown. The objective of the study was to develop birth weight percentiles based on maternal height and weight.
This observational study analyzed 2.2 million singletons from the German Perinatal Survey. Data were stratified into 18 maternal height and weight groups. Sex-specific birth weight percentiles were calculated from 31 to 42weeks and compared to percentiles from the complete dataset using the GAMLSS package for R statistics.
Birth weight percentiles not considering maternal size showed 22% incidence of small for gestational age (SGA) and 2% incidence of large for gestational age (LGA) for the subgroup of newborns from petite mothers, compared to a 4% SGA and 26% LGA newborns from big mothers. The novel percentiles based on 18 groups stratified by maternal height and weight for both sexes showed significant differences between identical original percentiles. The differences were up to almost 800g between identical percentiles for petite and big mothers. The 97th and 50th percentile from the group of petite mothers almost overlap with the 50th and 3rd percentile from the group of big mothers.
There is a clinically significant difference in birth weight percentiles when stratified by maternal height and weight. It could be hypothesized that birth weight charts stratified by maternal anthropometry could provide higher specificity and more individual prediction of perinatal risks. The new percentiles may be used to evaluate estimated fetal as well as birth weight.
There is a clinically significant difference in birth weight percentiles when stratified by maternal height and weight. It could be hypothesized that birth weight charts stratified by maternal anthropometry could provide higher specificity and more individual prediction of perinatal risks. The new percentiles may be used to evaluate estimated fetal as well as birth weight.
