With the continuous advancement of neuroimaging technologies, clinical research has discovered the phenomenon of cognitive-motor dissociation in patients with disorders of consciousness (DoC). This groundbreaking finding has provided new impetus for the development and application of brain-computer interface (BCI) in clinic. Currently, BCI has been widely applied in DoC patients as an important tool for assessing and assisting behaviorally unresponsive individuals. This paper reviews the current applications of BCI in DoC patients, focusing four main aspects including consciousness detection, auxiliary diagnosis, prognosis assessment, and rehabilitation treatment. It also provides an in-depth analysis of representative key techniques and experimental outcomes in each aspect, which include BCI paradigm designs, brain signal decoding method, and feedback mechanisms. Furthermore, the paper offers recommendations for BCI design tailored to DoC patients and discusses future directions for research and clinical practice in this field.
Humans ; Brain-Computer Interfaces ; Consciousness Disorders/physiopathology* ; Electroencephalography ; Brain/physiopathology* ; Consciousness

Objective:To explore how trans-spinal intermittent theta burst stimulation (iTBS) might inhibit ferroptosis using a mouse model of acute spinal cord injury (SCI).Methods:Thirty C57BL/6J mice were randomly assigned to control, model, and iTBS groups, each of 10. SCI was induced at the T 9/T 10 vertebral level by laminectomy and contusion injury using an impactor. The control group underwent laminectomy only. On the 1st day post-injury (dpi), mice in the iTBS group began receiving intermittent theta burst stimulation of the spine daily. The resting motor threshold (RMT) was determined as 25% of the magnetic stimulator′s maximum output intensity, and the stimulation intensity was set at 80% of the average RMT. The treatment was administered twice daily, with each session consisting of 10 bursts at 50Hz, repeated 40 times at 5Hz intervals (3 pulses per burst). The treatment continued until 28dpi. Immunofluorescence was used to assess the expression of glutathione peroxidase 4 (GPX4) and acyl-CoA synthetase long-chain family member 4 (ACSL4). Western blotting quantified the levels of GPX4 and ACSL4 protein. Iron deposition in the spinal cord tissue was evaluated using Prussian blue staining. Iron concentration, glutathione (GSH), and malondialdehyde (MDA) levels in the spinal cord tissue were measured using commercial assay kits, while locomotor functioning was assessed using the Basso Mouse Scale (BMS) on 1st, 3rd, 7th, 14th and 28thdpi. Results:The model group exhibited significantly increased iron levels and prominent iron deposition in the spinal cord compared to the control group, while significantly reduced iron levels and iron deposition were observed in the iTBS group. The immunofluorescence and western blotting revealed that GPX4 expression was downregulated and ACSL4 expression was upregulated in the SCI model group compared to the control group. iTBS treatment significantly upregulated GPX4 and downregulated ACSL4 expression. In addition, the iTBS group showed significantly lower MDA levels and significantly higher GSH levels in their spinal cord tissue compared to the SCI model group. Locomotion, assessed in terms of BMS scores, was significantly improved in the iTBS group compared to the SCI model group on 7th, 14th, and 28thdpi.Conclusions:These findings suggest that iTBS delivered via the spinal cord effectively inhibits ferroptosis and improves locomotion after a SCI, potentially by restoring iron homeostasis, enhancing antioxidant capacity, and suppressing lipid peroxidation.

Objective:To determine the detection rate of myopia among primary and secondary school students in Hunan Province in 2022 and to analyze the influencing factors at both the school and individual levels, thereby providing a scientific basis for developing myopia prevention and control strategies.Methods:From October to November 2022, a multi-stage stratified cluster random sampling method was employed to select students from Year 4 of primary school to Year 3 of senior high school across 14 prefecture-level (autonomous prefecture) cities in Hunan Province for vision screening and questionnaire surveys. A multilevel regression model was utilized to analyze the influencing factors of myopia at both the school and individual levels.Results:A total of 189 343 primary and secondary school students were included in this study. The overall myopia detection rate was 55.56%, with a significantly higher prevalence observed in female students (60.49%) compared to males (51.03%) and in urban students (59.12%) versus those from rural areas (53.50%). A marked upward trend in myopia prevalence was identified with advancing grade levels (trend test χ2=16 246.13, P<0.001). Multilevel regression analysis revealed that at the individual level, female gender, higher grade level, parental myopia history, daily homework duration ≥2 hours after school, improper reading/writing postures, and taking breaks only after more than 15 minutes of near work were associated with an increased risk of myopia. Conversely, adequate sleep duration, outdoor activity ≥2 hours, and outdoor breaks during recess demonstrated protective effects. At the school level, non-compliant blackboard illumination uniformity emerged as a significant risk factor for myopia development. Conclusions:The detection rate of myopia among primary and secondary school students in Hunan Province remains relatively high and is associated with multiple factors at both the school and individual levels. Targeted interventions should be implemented at different levels to mitigate the risk of myopia.

Objective:To determine the detection rate of myopia among primary and secondary school students in Hunan Province in 2022 and to analyze the influencing factors at both the school and individual levels, thereby providing a scientific basis for developing myopia prevention and control strategies.Methods:From October to November 2022, a multi-stage stratified cluster random sampling method was employed to select students from Year 4 of primary school to Year 3 of senior high school across 14 prefecture-level (autonomous prefecture) cities in Hunan Province for vision screening and questionnaire surveys. A multilevel regression model was utilized to analyze the influencing factors of myopia at both the school and individual levels.Results:A total of 189 343 primary and secondary school students were included in this study. The overall myopia detection rate was 55.56%, with a significantly higher prevalence observed in female students (60.49%) compared to males (51.03%) and in urban students (59.12%) versus those from rural areas (53.50%). A marked upward trend in myopia prevalence was identified with advancing grade levels (trend test χ2=16 246.13, P<0.001). Multilevel regression analysis revealed that at the individual level, female gender, higher grade level, parental myopia history, daily homework duration ≥2 hours after school, improper reading/writing postures, and taking breaks only after more than 15 minutes of near work were associated with an increased risk of myopia. Conversely, adequate sleep duration, outdoor activity ≥2 hours, and outdoor breaks during recess demonstrated protective effects. At the school level, non-compliant blackboard illumination uniformity emerged as a significant risk factor for myopia development. Conclusions:The detection rate of myopia among primary and secondary school students in Hunan Province remains relatively high and is associated with multiple factors at both the school and individual levels. Targeted interventions should be implemented at different levels to mitigate the risk of myopia.

Objective:To explore how trans-spinal intermittent theta burst stimulation (iTBS) might inhibit ferroptosis using a mouse model of acute spinal cord injury (SCI).Methods:Thirty C57BL/6J mice were randomly assigned to control, model, and iTBS groups, each of 10. SCI was induced at the T 9/T 10 vertebral level by laminectomy and contusion injury using an impactor. The control group underwent laminectomy only. On the 1st day post-injury (dpi), mice in the iTBS group began receiving intermittent theta burst stimulation of the spine daily. The resting motor threshold (RMT) was determined as 25% of the magnetic stimulator′s maximum output intensity, and the stimulation intensity was set at 80% of the average RMT. The treatment was administered twice daily, with each session consisting of 10 bursts at 50Hz, repeated 40 times at 5Hz intervals (3 pulses per burst). The treatment continued until 28dpi. Immunofluorescence was used to assess the expression of glutathione peroxidase 4 (GPX4) and acyl-CoA synthetase long-chain family member 4 (ACSL4). Western blotting quantified the levels of GPX4 and ACSL4 protein. Iron deposition in the spinal cord tissue was evaluated using Prussian blue staining. Iron concentration, glutathione (GSH), and malondialdehyde (MDA) levels in the spinal cord tissue were measured using commercial assay kits, while locomotor functioning was assessed using the Basso Mouse Scale (BMS) on 1st, 3rd, 7th, 14th and 28thdpi. Results:The model group exhibited significantly increased iron levels and prominent iron deposition in the spinal cord compared to the control group, while significantly reduced iron levels and iron deposition were observed in the iTBS group. The immunofluorescence and western blotting revealed that GPX4 expression was downregulated and ACSL4 expression was upregulated in the SCI model group compared to the control group. iTBS treatment significantly upregulated GPX4 and downregulated ACSL4 expression. In addition, the iTBS group showed significantly lower MDA levels and significantly higher GSH levels in their spinal cord tissue compared to the SCI model group. Locomotion, assessed in terms of BMS scores, was significantly improved in the iTBS group compared to the SCI model group on 7th, 14th, and 28thdpi.Conclusions:These findings suggest that iTBS delivered via the spinal cord effectively inhibits ferroptosis and improves locomotion after a SCI, potentially by restoring iron homeostasis, enhancing antioxidant capacity, and suppressing lipid peroxidation.

Tumor recurrence is one of the major life-threatening complications after liver transplantation for liver cancer. In addition to the common mechanisms underlying tumor recurrence, another unavoidable problem is that the immunosuppressive therapeutic regimen after transplantation could promote tumor recurrence and metastasis. Transplant oncology is an emerging field that addresses oncological challenges in transplantation. In this context, a comprehensive therapeutic management approach is required to balance the anti-tumor treatment and immunosuppressive status of recipients. Double-negative T cells (DNTs) are a cluster of heterogeneous cells mainly consisting of two subsets stratified by T cell receptor (TCR) type. Among them, TCRαβ⁺ DNTs are considered to induce immune suppression in immune-mediated diseases, while TCRγδ⁺ DNTs are widely recognized as tumor killers. As a composite cell therapy, healthy donor-derived DNTs can be propagated to therapeutic numbers in vitro and applied for the treatment of several malignancies without impairing normal tissues or being rejected by the host. In this work, we summarized the biological characteristics and functions of DNTs in oncology, immunology, and transplantation. Based on the multiple roles of DNTs, we propose that a new balance could be achieved in liver transplant oncology using them as an off-the-shelf adoptive cell therapy (ACT).
Humans ; T-Lymphocytes ; Immunotherapy, Adoptive ; Neoplasm Recurrence, Local ; Transplantation, Homologous ; Cell- and Tissue-Based Therapy

Objective:In the context of COVID-19 pandemic, the epidemic severities, non-pharmaceutical intervention intensities, individual behavior patterns and vaccination coverage vary with countries in the world. China has experienced a long period without indigenous cases, unfortunately, multi local outbreaks caused by imported cases and other factors have been reported, posing great challenges to COVID-19 prevention and control in China. Thus it is necessary to explore the mechanisms of the re-emerged COVID-19 epidemics and their differences.Methods:Based on susceptible exposed infectious recovered (SEIR) epidemic dynamics model, we developed a set of novel evolution equations which can describe the dynamic processes of integrated influence of interventions, vaccination coverage and individual behavior changes on the re-emergency of COVID-19 epidemic. We developed methods to calculate the optimal intervention intensity and vaccination rate at which the size of susceptible population can be reduced to less than threshold for the re-emergency of COVID-19 epidemic.Results:If strong interventions or super interventions are lifted too early, even a small cause can lead to the re-emergence of COVID-19 epidemic at different degrees. Moreover, the stronger the early control measures lifted are, the more severe the epidemic is. The individual behavior changes for the susceptibility to the epidemic and the enhancement or lifting of prevention and control measures are key factors to influence the incidence the multi outbreaks of COVID-19. The optimist early intervention measures and timely optimization of vaccination can not only prevent the re-emergency of COVID-19 epidemic, but also effectively lower the peak of the first wave of the epidemic and delay its arrival.Conclusion:The study revealed that factors for the re-emergence of COVID-19 epidemics included the intensity and lifting of interventions, the change of individual behavior to the response of the epidemic, external incentives and the transmissibility of COVID-19.

COVID-19 has brought a significant impact to the global health system, and also opportunities and challenges to epidemiological researches. Theoretical epidemiological models can simulate the process of epidemic in scenarios under different conditions. Therefore, modeling researches can analyze the epidemical trend of COVID-19, predict epidemical risks, and evaluate effects of different control measures and vaccine policies. Theoretical epidemiological modeling researches provide scientific advice for the prevention and control of infectious diseases, and play a crucial role in containing COVID-19 over the past year. In this study, we review the theoretical epidemiological modeling researches on COVID-19 and summarize the role of theoretical epidemiological models in the prevention and control of COVID-19, in order to provide reference for the combination of mathematical modeling and epidemic control.
COVID-19 ; Communicable Diseases/epidemiology* ; Humans ; Models, Theoretical ; SARS-CoV-2

Since December 2019, the outbreak of COVID-19 in Wuhan has spread rapidly due to population movement during the Spring Festival holidays. Since January 23rd, 2020, the strategies of containment and contact tracing followed by quarantine and isolation has been implemented extensively in mainland China, and the rates of detection and confirmation have been continuously increased, which have effectively suppressed the rapid spread of the epidemic. In the early stage of the outbreak of COVID-19, it is of great practical significance to analyze the transmission risk of the epidemic and evaluate the effectiveness and timeliness of prevention and control strategies by using mathematical models and combining with a small amount of real-time updated multi-source data. On the basis of our previous research, we systematically introduce how to establish the transmission dynamic models in line with current Chinese prevention and control strategies step by step, according to the different epidemic stages and the improvement of the data. By summarized our modelling and assessing ideas, the model formulations vary from autonomous to non-autonomous dynamic systems, the risk assessment index changes from the basic regeneration number to the effective regeneration number, and the epidemic development and assessment evolve from the early SEIHR transmission model-based dynamics to the recent dynamics which are mainly associated with the variation of the isolated and suspected population sizes.