Neuroscience is a significant frontier discipline within the natural sciences and has become an important interdisciplinary frontier scientific field. Brain is one of the most complex organs in the human body, and its structural and functional analysis is considered the “ultimate frontier” of human self-awareness and exploration of nature. Driven by the strategic layout of “China Brain Project”, Chinese scientists have conducted systematic research focusing on “understanding the brain, simulating the brain, and protecting the brain”. They have made breakthrough progress in areas such as the principles of brain cognition, mechanisms and interventions for brain diseases, brain-like computation, and applications of brain-machine intelligence technology, aiming to enhance brain health through biomedical technology and improve the quality of human life. Due to limited understanding and comprehension of neuroscience, there are still many important unresolved issues in the field of neuroscience, resulting in a lack of effective measures to prevent and protect brain health. Therefore, in addition to actively developing new generation drugs, exploring non pharmacological treatment strategies with better health benefits and higher safety is particularly important. Epidemiological data shows that, exercise is not only an indispensable part of daily life but also an important non-pharmacological approach for protecting brain health and preventing neurodegenerative diseases, forming an emerging research field known as motor neuroscience. Basic research in motor neuroscience primarily focuses on analyzing the dynamic coding mechanisms of neural circuits involved in motor control, breakthroughs in motor neuroscience research depend on the construction of dynamic monitoring systems across temporal and spatial scales. Therefore, high spatiotemporal resolution detection of movement processes and movement-induced changes in brain structure and neural activity signals is an important technical foundation for conducting motor neuroscience research and has developed a set of tools based on traditional neuroscience methods combined with novel motor behavior decoding technologies, providing an innovative technical platform for motor neuroscience research. The protective effect of exercise in neurodegenerative diseases provides broad application prospects for its clinical translation. Applied research in motor neuroscience centers on deciphering the regulatory networks of neuroprotective molecules mediated by exercise. From the perspectives of exercise promoting neurogenesis and regeneration, enhancing synaptic plasticity, modulating neuronal functional activity, and remodeling the molecular homeostasis of the neuronal microenvironment, it aims to improve cognitive function and reduce the incidence of Parkinson’s disease and Alzheimer’s disease. This has also advanced research into the molecular regulatory networks mediating exercise-induced neuroprotection and facilitated the clinical application and promotion of exercise rehabilitation strategies. Multidimensional analysis of exercise-regulated neural plasticity is the theoretical basis for elucidating the brain-protective mechanisms mediated by exercise and developing intervention strategies for neurological diseases. Thus,real-time analysis of different neural signals during active exercise is needed to study the health effects of exercise throughout the entire life cycle and enhance lifelong sports awareness. Therefore, this article will systematically summarize the innovative technological developments in motor neuroscience research, review the mechanisms of neural plasticity that exercise utilizes to protect the brain, and explore the role of exercise in the prevention and treatment of major neurodegenerative diseases. This aims to provide new ideas for future theoretical innovations and clinical applications in the field of exercise-induced brain protection.

Adaptive immunity is a critical component of the human immune system, playing an essential role in identifying antigens and orchestrating a tailored immune response. This review delves into the significant strides made in the development of epitope prediction tools, their integration into vaccine design, and their pivotal role in enhancing immunotherapy strategies. The review emphasizes the transformative potential of these tools in refining our understanding and application of immune responses. Adaptive immunity distinguishes itself from innate immunity by its ability to recognize specific antigens and remember past infections, leading to quicker and more effective responses upon subsequent exposures. This facet of immunity involves complex interactions between various cell types, primarily B cells and T cells, which recognize distinct epitopes presented by antigens. Epitopes are small sequences or configurations on antigens that are recognized by the immune receptors on B cells and T cells, acting as the focal points of immune recognition and response. Epitopes can be broadly classified into two types: linear (or sequential) epitopes and conformational (or discontinuous) epitopes. Linear epitopes consist of a sequence of amino acids in a protein that are recognized by B cells and T cells in their primary structure form. Conformational epitopes, on the other hand, are formed by spatially distinct amino acids that come together in the tertiary structure of the protein, often recognized by the immune system only when the protein folds into its native conformation. The role of epitopes in the immune response is critical as they are the primary triggers for the activation of B cells and T cells. When an epitope is recognized, it can stimulate B cells to produce antibodies, mobilize helper T cells to secrete cytokines, or prompt cytotoxic T cells to kill infected cells. These actions form the basis of the adaptive immune response, tailored to eliminate specific pathogens or infected cells effectively. The prediction of B cell and T cell epitopes has evolved with advances in computational biology, leading to the development of several sophisticated tools that utilize a variety of algorithms to predict the likelihood of epitope regions on antigens. Tools employing machine learning methods, such as support vector machines (SVMs), XGBoost, random forest, analyze large datasets of known epitopes to classify new sequences as potential epitopes based on their similarity to known data. Moreover, deep learning has emerged as a powerful method in epitope prediction, leveraging neural networks capable of learning high-dimensional data from vast amounts of immunological inputs to identify patterns that may not be evident to other predictive models. Deep learning models, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs) and ESM protein language model have demonstrated superior accuracy in mapping the nonlinear relationships inherent in protein structures and epitope interactions. The application of epitope prediction tools in vaccine design is transformative, enabling the development of epitope-based vaccines that can elicit targeted immune responses against specific parts of the pathogen. These vaccines, by focusing the immune response on highly specific regions of the pathogen, can offer high efficacy and reduced side effects. Similarly, in cancer immunotherapy, epitope prediction tools help identify tumor-specific antigens that can be targeted to develop personalized immunotherapeutic strategies, thereby enhancing the precision of cancer treatments. The future of epitope prediction technology appears promising, with ongoing advancements anticipated to enhance the precision and efficiency of these tools further. The integration of broader immunological data, such as patient-specific immune profiles and pathogen variability, along with advances in AI and machine learning, will likely drive the development of more adaptive, robust, and clinically relevant prediction models. This will not only improve the effectiveness of vaccines and immunotherapies but also contribute to our broader understanding of immune mechanisms, potentially leading to breakthroughs in the treatment and prevention of multiple diseases. In conclusion, the development and refinement of epitope prediction tools stand as a cornerstone in the advancement of immunological research and therapeutic design, highlighting a path toward more precise and personalized medicine. The ongoing integration of computational models with experimental immunology holds the promise of revolutionizing our approach to combating infectious diseases and cancer.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

This study aims to systematically review the efficacy and safety of Shufeng Jiedu Capsules in the treatment of influenza. The randomized controlled trial(RCT) of Shufeng Jiedu Capsules alone or in combination with conventional western medicine for treating influenza were retrieved from PubMed, EMbase, Cochrane Library, Web of Science, SinoMed, CNKI, VIP, Wanfang, and ClinicalTrails.gov. The data analysis was performed in RevMan 5.4.1. The Cochrane risk of bias assessment tool was used to evaluate the quality of the involved RCT, and GRADEpro GDT to assess the quality of the evidence. A total of 11 RCTs involving 1 836 patients were included in this study. Compared with conventional western medicine, Shufeng Jiedu Capsules/Shufeng Jiedu Capsules + conventional western medicine improved the response rate(RR=1.09, 95%CI[1.03, 1.15], P=0.002), shortened the time to relief of cough, and increased the 3-day sore throat relief rate, whereas there was no significant difference in the time to fever abatement, the time to relief of sore throat, 3-day cough relief rate, or 3-day runny nose relief rate. Subgroup-analysis showed that Shufeng Jiedu Capsules + conventional western medicine improved the response rate(RR=1.11, 95%CI[1.08, 1.15], P<0.000 01), shortened the time to relief of cough, and increased the 3-day relief rate of symptoms(cough, sore throat, and runny nose) compared with conventional western medicine alone, while there was no significant difference in the time to fever abatement or the time to relief of sore throat. Shufeng Jiedu Capsules alone could not improve the response rate(RR=0.97, 95%CI[0.93, 1.02], P=0.19). In addition, Shufeng Jiedu Capsules/Shufeng Jiedu Capsules + conventional western medicine vs conventional western medicine were no significant difference in adverse reactions(RR=0.98, 95%CI[0.57, 1.69], P=0.95). The available evidence suggests that Shufeng Jiedu Capsules is effective and safe in the treatment of influenza, and the combination of Shufeng Jiedu Capsules with conventional western medicine can accelerate the relief of symptoms. However, since the number and quality of the included studies were low, the above findings remained to be further verified by multicenter RCT with large sample sizes.
Humans ; Influenza, Human/drug therapy* ; Drugs, Chinese Herbal/adverse effects* ; Capsules ; Cough/chemically induced* ; Pharyngitis ; Rhinorrhea ; Multicenter Studies as Topic

In this study, the secondary osteoporosis model was induced by oral administration of retinoic acid for two weeks in SD male rats. The efficacy and mechanism of LG on secondary osteoporosis in rats were explored through the bone morphogenetic protein 2(BMP-2)/Runt-related transcription factor 2(Runx2)/Osterix signaling pathway. With Xianling Gubao Capsules(XLGB) as the positive control, three dose groups of low glycoside from Epimedii Folium flavonoids(LG), i.e., low-dose group(LG-L), medium-dose group(LG-M), and high-dose group(LG-H), were set up. After modeling, the rats in each group were treated correspondingly by gavage for eight weeks. The action target of LG in the treatment of secondary osteoporosis in rats was analyzed by measuring the body weight and the organ indexes of rats including heart index and testis index. The efficacy of LG was characterized by the pathological changes of the femur, the microstructural parameters of the trabecular bone, and the biomechanical properties of femoral tissues in rats. The mechanism of LG was explored by measuring the relevant biochemical indexes and the changes in BMP-2, Runx2, and Osterix content in rats with secondary osteoporosis. The results showed that the action target of LG in the treatment of secondary osteoporosis in rats was the testis. LG can improve the bone loss of the femur, increase the number and thickness of the trabecular bone, reduce the porosity and separation of the trabecular bone, potentiate the resistance of bone to deformation and destruction, up-regulate the serum content of Ca, P, aminoterminal propeptide of type Ⅰ procollagen(PINP), and osteocalcin(OC), promote bone matrix calcification and the expression of BMP-2, Runx2, and Osterix proteins, and accelerate bone formation, thereby reducing the risk of fractures, and ultimately exerting anti-secondary osteoporosis efficacy.
Animals ; Bone Density ; Core Binding Factor Alpha 1 Subunit/metabolism* ; Drugs, Chinese Herbal ; Flavonoids/therapeutic use* ; Glycosides/therapeutic use* ; Male ; Osteoporosis/metabolism* ; Rats ; Rats, Sprague-Dawley ; Tretinoin/adverse effects*

Objective:To explore the characteristics of sleep disorders in patients with Parkinson's disease (PD) and its correlation with homocysteine.Methods:Totally 75 PD patients hospitalized in the department of neurology from January 2017 to June 2021 were selected and divided into sleep disorder group ( n=39) and non-sleep disorder group ( n=36)according to polysomnography, Parkinson's disease sleep scale(PDSS) and Epworth sleepiness scale(ESS). The basic clinical data, hematological examination results, scale evaluation data and polysomnography monitoring data of the above patients were collected during hospitalization to analyze the sleep characteristics of patients with Parkinson's disease and its correlation with homocysteine.SPSS 26.0 statistical analysis software was used for t test, Mann-Whitney U test, Pearson analysis, Spearman analysis and multivariate Logistic analysis. Results:The sleep efficiency (56.82±19.07)%, N2 phase ratio(48.67±17.70)%, N3 phase ratio(9.20%(19.00%)) and the leg movement micro-arousal index(0(1.20)) in the sleep disorder group were lower than those in the non-sleep disorder group (sleep efficiency (82.15±5.55)%, N2 phase ratio(57.02±2.80)%, N3 phase ratio(20.01%(3.93%)), the leg movement micro-arousal index(1.15(1.80)). The differences were statistically significant ( t/ Z=-6.087, -2.905, -3.773, -3.683, all P<0.05). The proportion of AHI (0.90(14.60)), N1 stage (19.50%(15.70%)), and periodic limb index (0(24.80)) in sleep disorder group were higher than those in non-sleep disorder group (AHI (0.60(0.30)), N1 stage (12.15%(3.15%)), and periodic limb index (0(0)). The difference was statistically significant ( Z=2.154, 5.250, 3.559, all P<0.05). The homocysteine (15.80(3.90) μmol/L), NMSS-insomnia correlation score (3.00(5.00)), MDS-UPDRS-Ⅰ(7.00 (10.00)), MDS-UPDRS-Ⅲ (23.00 (16.00)) in the sleep disorder group were higher than those in the non-sleep disorder group (homocysteine (14.10 (4.20)μmol/L), NMSS-insomnia correlation score (0(1.00)), MDS-UPDRS-Ⅰ(3.00 (2.00)), MDS-UPDRS-Ⅲ (17.00 (4.00)), and the differences were statistically significant( Z=2.557, 4.487, 2.952, 2.180, all P<0.05). The NMSS-olfactory correlation scores (2.00(4.00)) and PDSS (99.00 (40.00)) were lower than those in the non-sleep disorder group (NMSS-olfactory correlation scores (4.50 (7.00)) and PDSS (122.00 (28.00)), and the differences were statistically significant ( Z=2.450, 4.126, both P<0.05). Hcy was positively correlated with sleep disorder in PD patients ( r=0.297, P<0.05). Binariate logistic regression analysis showed that elevated homocysteine level might be a risk factor for sleep disorder in PD patients ( β=0.193, OR=1.213, 95% CI=1.029-1.430). Conclusion:Parkinson's disease patients with sleep disorder have the characteristics of sleep structure disorder, often accompanied by more serious motor disorders, and the olfactory function impairment is relatively mild. Elevated homocysteine levels may be a risk factor for sleep disorder in Parkinson's disease.

Child ; Chronic Disease ; Epstein-Barr Virus Infections/complications* ; Familial Primary Pulmonary Hypertension/complications* ; Herpesvirus 4, Human ; Humans ; Persistent Infection ; Pulmonary Arterial Hypertension

Covalently closed circular DNA (cccDNA) of hepatitis B virus (HBV) is the template for HBV replication. Currently, there is a lack of therapeutic drugs that directly target cccDNA. Therefore, blocking cccDNA supplements as fast as possible and reducing the existing cccDNA is the key to achieving a complete cure of chronic hepatitis B. Previous studies have suggested that cccDNA had a long half-life, but a recent study showed that it only took a few months to update cycle of cccDNA pool, and its number was much less than previously predicted. In the future, with the advent of new antiviral drugs that can completely inhibit HBV replication, it is expected that the cccDNA pool will be completely cleared due to its supplement complete blockade, so as to achieve virological cure of chronic hepatitis B.
Antiviral Agents/therapeutic use* ; DNA, Circular/genetics* ; DNA, Viral ; Half-Life ; Hepatitis B/drug therapy* ; Hepatitis B virus/genetics* ; Hepatitis B, Chronic/drug therapy* ; Humans ; Virus Replication

Objective To investigate the prevalence of Schistosoma japonicum infection in wild mice in Shitai County, Anhui Province, so as to provide insights into precise control of the source of S. japonicum infections. Methods Wild mice were captured using the trapping method for three successive nights at snail-infested settings from Jitan Village of Jitan Township, and Shiquan Village and Xibai Village of Dingxiang Township, Shitai County, Anhui Province in June and October, 2018. All trapped wild mice were sacrificed and liver and mesenteric vein specimens were collected for detection of S. japonicum eggs using microscopy, while the fecal samples in mouse intestines were collected for identification of S. japonicum infections using Kato-Katz technique. In addition, the population density of trapped wild mice was estimated and the prevalence of S. japonicum infection was calculated in trapped wild mice. Results A total of 376 wild mice were trapped from three villages in Shitai County. The population density of trapped wild mice was 9.1% (376/4 124), and the prevalence of S. japonicum infection was 24.2% (91/376) in trapped wild mice. The highest prevalence of S. japonicum infection was detected in Shiquan Village of Dingxiang Township (30.1%), and the lowest prevalence was seen in Xibai Village of Dingxiang Township; however, there was no significant difference in the prevalence of S. japonicum infection in trapped wild mice among three villages (χ²= 4.111, P > 0.05). In addition, there was no significant difference in the prevalence of S. japonicum infection in wild mice captured between on June (26.8%, 34/127) and October (22.9%, 57/249) (χ² = 0.690, P = 0.406). The trapped wild mice included 6 species, including Rattus norvegicus, Niviventer niviventer, R. losea, Apodemus agrarius, Mus musculus and N. coning, and the two highest prevalence of S. japonicum infection was detected in R. losea (34.9%, 22/63) and R. norvegicus (31.2%, 44/141). Conclusions The prevalence of S. japonicum infections is high in wild mice in Shitai County, and there is a natural focus of schistosomiasis transmission in Shitai County.

Since December 2019, the corona virus disease 2019 (COVID-19) caused by the 2019 novel coronavirus (2019-nCoV) has been reported in Wuhan, Hubei Province. Almost 70% of patients susceptible to 2019-nCoV are over age of 50 years, with extremely large proportion of critical illness and death of the elderly patients. Meanwhile, the elderly patients are at high risk of osteoporotic fractures especially osteoporotic vertebral compression fractures (OVCF). During the prevention and control of COVID-19 epidemic, orthopedists are confronted with the following difficulties including how to screen and protect OVCF patients, how to accurately diagnose and assess the condition of OVCF patients with suspected or confirmed COVID-19, and how to develop reasonable treatment plans and comprehensive protective measures in emergency and outpatient clinics. In order to standardize the diagnosis and treatment of patients with OVCF diagnosed with COVID-19, the authors jointly develop this expert consensus. The consensus systematically recommends the standardized emergency and outpatient screening and confirmation procedures for OVCF patients with suspected or confirmed COVID-19 and protective measures for emergency and outpatient clinics. Moreover, the consensus describes the grading and classification of OVCF patients diagnosed with COVID-19 according to the severity of illness and recommends different treatment plans and corresponding protective measures based on the different types and epidemic prevention and control requirements.