Growing evidence highlights that long-term orbital flight may lead to structural changes in brains and cognitive impairments in astronauts. However, effective strategies to counteract these effects re Show more
Growing evidence highlights that long-term orbital flight may lead to structural changes in brains and cognitive impairments in astronauts. However, effective strategies to counteract these effects remain limited. Compound Gastrodia elata Formula (CGEF), composed of Gastrodia elata Bl., Polygonatum sibirium Red., and Poria cocos (Schw.) Wolf has been shown to improve learning and memory. The present study aimed to evaluate the effects and underlying mechanisms of CGEF in attenuating cognitive deficiency induced by simulated weightlessness in mice. A cognitive impairment model was induced in mice using Hindlimb unloading (HU) method. Cognitive function was assessed through Object recognition test (ORT), the Morris water maze (MWM), and the Step-down Test (SDT). Serum and hippocampus levels of inflammatory markers, including Interleukin-1 beta (IL-1β), Tumor Necrosis Factor alpha (TNF-α), and Interleukin-6 (IL-6) were evaluated using ELISA. Neurotransmitter concentrations in the hippocampus and cortex were measured using LC-MS/MS. While Brain-derived neurotrophic factor (BDNF) / Tropomyosin receptor kinase B (TrkB) protein expression signaling pathway in hippocampus was evaluated by western blot. Results showed that CGEF treatment significantly reversed the memory deficits induced by four weeks of HU exposure. Furthermore, CGEF treatment markedly suppressed the production of inflammatory factors. It also assisted in the recovery of neurotransmitter balance and regulated tryptophan metabolism to improve cognitive disorder. Western blotting analysis revealed that CGEF treatment upregulated the expression of Synaptophysin, Postsynaptic density 95 proteins, while also activating the brain-derived neurotrophic factor-Tropomyosin receptor kinase B pathway. These findings suggest that CGEF has substantial potential for development as an aerospace health product to improve memory decline associated with spaceflight. Show less
Recent advances in human blastoids have opened new avenues for modeling early human development and implantation. Human blastoids can be generated in large numbers, making them well-suited for high-th Show more
Recent advances in human blastoids have opened new avenues for modeling early human development and implantation. Human blastoids can be generated in large numbers, making them well-suited for high-throughput screening. However, automated methods for evaluating and characterizing blastoid morphology are lacking. We developed a deep-learning model-deepBlastoid-for automated classification of live human blastoids using only brightfield images. The model processes 273.6 images per second with an average accuracy of 87%, which is further improved to 97% by integrating a Confidence Rate metric. deepBlastoid outperformed human experts in throughput while matching accuracy in blastoid classification. We demonstrated the utility of the model in two use cases: (i) systematic assessment of the effect of lysophosphatidic acid (LPA) on blastoid formation and (ii) evaluating the impact of dimethyl sulfoxide (DMSO) on blastoid formation. The evaluation results of deepBlastoid using over 10,000 images were consistent with the known drug effects and showed subtle but significant effects that might have been overlooked in manual assessments. The publicly available deepBlastoid model enables researchers to train customized models based on their imaging and protocols, providing an efficient, automated tool for blastoid classification with broad applications in research, drug screening, and Show less
Background and objective Butter coffee drinks, mainly a form of a saturated fat diet, are widely accepted as a "healthy energy-boosting drink", especially in the young and healthy military population. Show more
Background and objective Butter coffee drinks, mainly a form of a saturated fat diet, are widely accepted as a "healthy energy-boosting drink", especially in the young and healthy military population. The objective of our study was to determine the effects of medium-chain triglyceride (MCT) oil and butter on lipid profile, especially apolipoprotein B (ApoB), low-density lipoprotein (LDL)-cholesterol (LDL-C), high-density lipoprotein (HDL)-cholesterol (HDL-C), and other risk factors for coronary heart disease, such as BMI, BP, fasting blood glucose, HbA1c, and high-sensitivity C-reactive protein (hs-CRP) levels in healthy adults. Materials and methods We conducted a prospective study of 60 subjects who were randomized to one of the two following regimens: (1) coffee or (2) coffee with butter plus MCT oil combination. The primary outcome was the effect on ApoB. Secondary outcomes were as follows: non-HDL-C, LDL-C, triglycerides, BP, waist circumference, fasting blood glucose, and HbA1c. These parameters were evaluated at the baseline and after 12 weeks. The Mann-Whitney U test was utilized for analysis of the results. Results While 60 subjects were recruited for the study, only 41 completed it, meeting the minimum required sample size (17 per group) necessary to achieve the desired effect size: 21 males (nine in the control group and 12 in the experimental group) and 20 females (10 in each group). Anthropometric measures were similar between the two groups at baseline, and so were age and BMI (average age: 33.00 ± 5.84 years among controls and 30.86 ± 6.14 years in the experimental group; BMI: 27.35 ± 4.63 kg/m Show less