ObjectiveTo analyze the epidemiological features and influencing factors of rabies in Shanxi Province，and to provide evidence to further promote the elimination of rabies in Shanxi Province. MethodsThe incidence data of rabies in Shanxi from 2011 to 2022 were collected and subjected to descriptive analysis. ResultsFrom 2011 to 2022， a total of 348 rabies cases were reported in Shanxi Province， with an average annual incidence of 0.080 3/10⁵. The incidence of rabies showed a downward trend overall. The highest incidence was in August. The cases were mainly farmers， mostly males， and most cases were reported between 50 and 69 years old. The data of cases showed that dogs were the main animals attacking human （93.96%）. The incubation period of most cases was 1‒3 months （37.37%）.The main exposure site was hand（51.33%）. Only 2.66% cases with grade Ⅲ exposure were injected with passive immune agents. ConclusionThe incidence of rabies in Shanxi Province continues to decrease， but there are still loopholes in prevention and control measures. It is necessary to strengthen the management and immunization of dogs，health education， and standardized procedures after exposure to maintain the achievements in the prevention and control of rabies.

Objective:To compare the consistency of lymphoma multigene detection panels based on next-generation sequencing (NGS) with FISH detection of B-cell lymphoma gene rearrangement.Methods:From January 2019 to May 2023, fusion genes detected by lymphoma-related 413 genes that targeted capture sequencing of 489 B-cell lymphoma tissues embedded in paraffin were collected from Henan Cancer Hospital, and the results were compared with simultaneous FISH detection of four break/fusion genes: BCL2, BCL6, MYC, and CCND1. Consistency was defined as both methods yielding positive or negative results for the same sample. The relationship between fusion mutation abundance in NGS and the positivity rate of cells in FISH was also analyzed.Results:Kappa consistency analysis revealed high consistency between NGS and FISH in detecting the four B-cell lymphoma-related gene rearrangement ( P<0.001 for all) ; however, the detection rates of positive individuals differed for the four genes. Compared with FISH, NGS demonstrated a higher detection rate for BCL2 rearrangement, a lower detection rate for BCL6 and MYC rearrangement, and a similar detection rate for CCND1 rearrangement. No correlation was found between fusion mutation abundance in NGS and the positivity rate of cells in FISH. Conclusions:NGS and FISH detection of B-cell lymphoma gene rearrangement demonstrate overall good consistency. NGS is superior to FISH in detecting BCL2 rearrangement, inferior in detecting MYC rearrangement, and comparable in detecting CCND1 rearrangement.

Western bioethics,with its theoretical basis in individualism,is essentially a form of universalist ethics that makes it difficult to respond to the complexities of moral life.Scholars represented by Engelhardt and MacIntyre have profoundly reflected on universalist ethics from the perspective of moral pluralism,but they have not been able to fundamentally resolve the disputes.Grasping the theoretical lineage of the controversy between universalism and particularism can provide an important reference for the construction of bioethics based on Confucianism in contemporary China.Furthermore,from the perspective of opposing universalism and particularism,as well as in response to the issues of the era of life science and technology and the cultural background of China,it can not only realize the modern interpretation of Confucian ethics,but also promote the effective application of modern bioethics theory.

Objective To explore the method for measurement of tritium in nuclear power plant liquid effluent purified by a mixed ion-exchange resin, to verify the feasibility of the method by experiments, and to provide technical support for the development of standard methods for the measurement of tritium in liquid effluent of nuclear power plants. Methods The purification effect of the mixed ion-exchange resin was determined by measuring the quenching factor, conductivity, and β-nuclide adsorption efficiency of the samples purified using the resin. A comparison was made between the ion-exchange resin method and the atmospheric distillation method for tritium determination. The precision and accuracy of the method were verified by calculating the relative standard deviation and the recovery in repeated measurement of samples with different activity concentrations and spiked samples. Results There were no significant differences in quenching factor, conductivity, and tritium activity concentration between the two methods. The adsorption efficiencies of EC20MB resin for common β-nuclides such as carbon, iron, nickel, strontium, yttrium, and cesium ranged from 99.28% to 99.88%. Repeated measurement of the same sample showed relative standard deviations of 5.2%-9.4% and recoveries of 86.8%-107%. Conclusion There were no significant differences between the results of the ion-exchange resin purification method and the atmospheric distillation method. The precision and accuracy of the method met the requirements of the ecological and environmental management authorities for monitoring tritium in liquid effluent from nuclear power plants. This method can be widely used in daily monitoring work.

Cerebral small vessel disease (CSVD) is a series of clinical, imaging, and pathological syndromes resulting from various etiologies affecting small arteries (microarteries, capillaries, microvenules, and small veins in the brain). The diagnosis of CSVD is based on imaging presentations, but the high cost and bleeding risk of cranial imaging methods make the diagnosis of rare CSVD more difficult. Retinal vessels are the only vasculature visible in vivo and share anatomical and embryological features with small brain vessels. Retinal vascular abnormalities have been shown to exist in rare CSVD such as cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL), cerebral amyloid angiopathy (CAA) and moyamoya disease (MMD). Retinal vascular examination may provide new ideas for the study of rare CSVD.

OBJECTIVE To analyze the si tuation and hot spots of gabapentinoid drugs in the treatment of pain. METHODS Related researches about gabapentinoid drugs in the treatment of pain were retrieved from Web of Science core collection database during Jan. 1st，2011-Dec. 31st，2020. VOSviewer 1.6.17，CiteSpace 5.8.R1 and Excel 2018 software were used to statistically analyze the key characteristics of relevant literature ，such as the annual publications ，countries/regions，institutions，authors， journals and research hot spots. RESULTS & CONCLUSIONS A total of 3 519 literatures were retrieved ，and the annual publication outputs showed an upward trend generally. Totally 86 countries/regions had conducted relevant studies ，of which the United States ranked first （up to 1 219），and had close cooperation with the United Kingdom ，Canada，China，Germany，Japan， etc；a total of 3 996 institutions had published relevant literatures ，and the Pfizer Inc. issued the most publications ；the most studies were devoted by Professor Parsons from the University of California San Diego ，and the highest co-citations author was Professor Gilron from the Queen ’s University. Among 1 185 journals，Pain ranked first not only in the high-productive journal ，but also in the co-cited journal. The main hot topics include abuse and misuse of gabapentinoid ，off-label use of gabapentinoid ，clinical application of gabapentinoid as a component of multimodal analgesia ，and the update of guidelines for pain based on systematic evaluation and meta-analysis.

Chaperone-mediated autophagy (CMA) is a lysosome-dependent selective degradation pathway implicated in the pathogenesis of cancer and neurodegenerative diseases. However, the mechanisms that regulate CMA are not fully understood. Here, using unbiased drug screening approaches, we discover Metformin, a drug that is commonly the first medication prescribed for type 2 diabetes, can induce CMA. We delineate the mechanism of CMA induction by Metformin to be via activation of TAK1-IKKα/β signaling that leads to phosphorylation of Ser85 of the key mediator of CMA, Hsc70, and its activation. Notably, we find that amyloid-beta precursor protein (APP) is a CMA substrate and that it binds to Hsc70 in an IKKα/β-dependent manner. The inhibition of CMA-mediated degradation of APP enhances its cytotoxicity. Importantly, we find that in the APP/PS1 mouse model of Alzheimer's disease (AD), activation of CMA by Hsc70 overexpression or Metformin potently reduces the accumulated brain Aβ plaque levels and reverses the molecular and behavioral AD phenotypes. Our study elucidates a novel mechanism of CMA regulation via Metformin-TAK1-IKKα/β-Hsc70 signaling and suggests Metformin as a new activator of CMA for diseases, such as AD, where such therapeutic intervention could be beneficial.

Objective:To evaluate the effect of mechanical chest compression device in patients with cardiac arrest.Methods:The relevant literatures about mechanical cardiopulmonary resuscitation and manual cardiopulmonary resuscitation were systematically searched from China Knowledge Network (CNKI), VIP, Wanfang, PubMed, Web of Science and other databases. The effective data were extracted and analyzed by RevMan5.3 software.Results:A total of 20 clinical studies involving 29 727 patients were included, of which 11 104 patients received mechanical cardiopulmonary resuscitation and 18 623 patients received traditional manual cardiopulmonary resuscitation. The results of meta-analysis showed that mechanical cardiopulmonary resuscitation could not effectively improve the restoration of spontaneous circulation (ROSC) rate, admission survival rate, discharge survival rate and neurological prognosis in patients with cardiac arrest compared with manual cardiopulmonary resuscitation. ROSC occurrence rate ( RR=1.10, 95% CI: 0.99-1.23, P<0.01), admission survival rate ( RR=1.01, 95% CI: 0.95-1.08, P=0.67), discharge survival rate ( RR=1.00, 95% CI: 0.86-1.15, P=0.14), and good neurological function rate ( RR=0.81, 95% CI: 0.61-1.06, P=0.69) showed no significant differences between the mechanical cardiopulmonary resuscitation and manual cardiopulmonary resuscitation. Conclusions:Mechanical chest compression device has no advantage compared with manual cardiopulmonary resuscitation. Mechanical cardiopulmonary resuscitation is not recommended to completely replace manual chest compression in cardiopulmonary resuscitation.

Objective:To establish a new model for the prediction of severe outcomes of COVID-19 patients and provide more comprehensive, accurate and timely indicators for the early identification of severe COVID-19 patients.Methods:Based on the patients’ admission detection indicators, mild or severe status of COVID-19, and dynamic changes in admission indicators (the differences between indicators of two measurements) and other input variables, XGBoost method was applied to establish a prediction model to evaluate the risk of severe outcomes of the COVID-19 patients after admission. Follow up was done for the selected patients from admission to discharge, and their outcomes were observed to evaluate the predicted results of this model.Results:In the training set of 100 COVID-19 patients, six predictors with higher scores were screened and a prediction model was established. The high-risk range of the predictor variables was calculated as: blood oxygen saturation <94 %, peripheral white blood cells count >8.0×10 9, change in systolic blood pressure <-2.5 mmHg, heart rate >90 beats/min, multiple small patchy shadows, age >30 years, and change in heart rate <12.5 beats/min. The prediction sensitivity of the model based on the training set was 61.7 %, and the missed diagnosis rate was 38.3 %. The prediction sensitivity of the model based on the test set was 75.0 %, and the missed diagnosis rate was 25.0 %. Conclusions:Compared with the traditional prediction (i.e. using indicators from the first test at admission and the critical admission conditions to assess whether patients are in mild or severe status), the new model’s prediction additionally takes into account of the baseline physiological indicators and dynamic changes of COVID-19 patients, so it can predict the risk of severe outcomes in COVID-19 patients more comprehensively and accurately to reduce the missed diagnosis of severe COVID-19.