The anterior cingulate cortex (ACC) has recently been proposed as a key player in the representation of itch stimuli. However, to date, little is known about the contribution of specific ACC interneuron populations to itch processing. Using c-Fos immunolabeling and in vivo Ca²⁺ imaging, we reported that both histamine and chloroquine stimuli-induced acute itch caused a marked enhancement of vasoactive intestinal peptide (VIP)-expressing interneuron activity in the ACC. Behavioral data indicated that optogenetic and chemogenetic activation of these neurons reduced scratching responses related to histaminergic and non-histaminergic acute itch. Similar neural activity and modulatory role of these neurons were seen in mice with chronic itch induced by contact dermatitis. Together, this study highlights the importance of ACC VIP⁺ neurons in modulating itch-related affect and behavior, which may help us to develop novel mechanism-based strategies to treat refractory chronic itch in the clinic.
Animals ; Pruritus/physiopathology* ; Vasoactive Intestinal Peptide/metabolism* ; Interneurons/metabolism* ; Gyrus Cinguli/metabolism* ; Mice ; Male ; Mice, Inbred C57BL ; Histamine ; Chloroquine ; Optogenetics ; Mice, Transgenic

Ferroptosis is a form of programmed cell death,which plays a crucial driving role in the onset and progression of diabetic nephropathy(DN).Ferroptosis is closely related to the damage of renal intrinsic cells in patients with diabetes.Chinese materia medica can improve DN by regulating the ferroptosis of renal intrinsic cells,with a good research and application prospect.This article reviewed the key regulatory factors and regulatory pathways of ferroptosis in DN,explained the"imbalance between yin and yang"of ferroptosis in DN based on TCM theories,and combed the research status of targeted inhibition of ferroptosis by active components of Chinese materia medica.The regulation of active components of Chinese materia medica on ferroptosis in DN has the characteristics of multiple targets,multiple links and integrity,which can provide a reference for the mechanism research and drug development of Chinese materia medica in treating DN.

With the rapid development of artificial intelligence （AI） technology， the ethical governance of AI has gained increasing attention. The Recommendation on the Ethics of Artificial Intelligence was issued by the United Nations Educational， Scientific and Cultural Organization in 2021， which clarified several principles for the ethical governance of AI. In the field of rehabilitation medicine， the research and application of AI technology have significantly improved patients’ quality of life and survival. However， due to the specificity of the service population in rehabilitation medicine， which is mostly for the sick， injured， disabled， and elderly， a series of complex ethical issues have also arisen. This paper analyzed in detail the ethical issues and challenges encountered in the research and application of AI technology in the field of rehabilitation medicine from various aspects， such as informed consent， security of privacy and data， patients’ physical and mental rehabilitation， compliance regulation， protection of specific groups， and promotion of equity. According to the principles of the Recommendation on the Ethics of Artificial Intelligence and others， response strategies were proposed， including multi-party collaboration and interdisciplinary cooperation， improving and refining relevant laws and regulations， strengthening ethical education across society， establishing accountability mechanisms， increasing investment， promoting equity， and other measures， to promote the healthy development of research and application of AI technology in the field of rehabilitation， as well as benefit humanity.

Objective To discuss the risk factors for impaired fasting glucose(IFG)and construct and validate a predictive model based on column charts of the risk of IFG occurrence.Methods This retrospective study included 3 037 individuals who underwent routine physical examinations at a hospital in Shenyang between August and December 2022.The population was randomly divided into a training group(n=2 126)and a validation group(n=911)in a 7∶3 ratio,and physical examination data were collected.LASSO regression analy-sis was used to screen predictive variables and logistic regression analysis was used to further screen and construct a column chart pre-dictive model.The validation group was used to conduct an internal validation of the feasibility of the model,and the area under the curve(AUC)of receiver operator characteristic(ROC)and goodness of fit tests were used to evaluate the model effectiveness.Results Among the 3 037 included individuals,2 880 did not experience IFG and 157 did.The results showed that age(OR=1.04,95％CI:1.02-1.05),body mass index(BMI,OR=1.10,95％CI:1.05-1.17),systolic blood pressure(SBP,OR=1.01,95％CI:1.00-1.03),triglycerides(TG,OR=1.20,95％CI:0.99-1.51),and a history of hypertension(OR=1.28,95％CI:1.04-1.59)were independent risk factors for IFG occurrence in this population.Based on these variables,a column chart prediction model was constructed.In the training group,the model predicted an AUC of 0.722(95％CI:0.68-0.77)for IFG occurrence,while in the validation group,it predicted an AUC of 0.907(95％CI:0.87-0.94)for IFG occurrence.The results of the Hosmer-Lemeshow goodness of fit test showed that the models of the training and validation groups were not significantly different(P＞0.05);that is,the actual probability was consistent with the prediction probability of the model,and the models calibration was good.Conclusion A risk prediction model for IFG occurrence that included five variables:age,BMI,SBP,TG,and history of hypertension could be construted.This model might help to identify high-risk groups for IFG early and allow for inter-vention in a timely manner.

Ferroptosis is a form of programmed cell death,which plays a crucial driving role in the onset and progression of diabetic nephropathy(DN).Ferroptosis is closely related to the damage of renal intrinsic cells in patients with diabetes.Chinese materia medica can improve DN by regulating the ferroptosis of renal intrinsic cells,with a good research and application prospect.This article reviewed the key regulatory factors and regulatory pathways of ferroptosis in DN,explained the"imbalance between yin and yang"of ferroptosis in DN based on TCM theories,and combed the research status of targeted inhibition of ferroptosis by active components of Chinese materia medica.The regulation of active components of Chinese materia medica on ferroptosis in DN has the characteristics of multiple targets,multiple links and integrity,which can provide a reference for the mechanism research and drug development of Chinese materia medica in treating DN.

Objective To discuss the risk factors for impaired fasting glucose(IFG)and construct and validate a predictive model based on column charts of the risk of IFG occurrence.Methods This retrospective study included 3 037 individuals who underwent routine physical examinations at a hospital in Shenyang between August and December 2022.The population was randomly divided into a training group(n=2 126)and a validation group(n=911)in a 7∶3 ratio,and physical examination data were collected.LASSO regression analy-sis was used to screen predictive variables and logistic regression analysis was used to further screen and construct a column chart pre-dictive model.The validation group was used to conduct an internal validation of the feasibility of the model,and the area under the curve(AUC)of receiver operator characteristic(ROC)and goodness of fit tests were used to evaluate the model effectiveness.Results Among the 3 037 included individuals,2 880 did not experience IFG and 157 did.The results showed that age(OR=1.04,95％CI:1.02-1.05),body mass index(BMI,OR=1.10,95％CI:1.05-1.17),systolic blood pressure(SBP,OR=1.01,95％CI:1.00-1.03),triglycerides(TG,OR=1.20,95％CI:0.99-1.51),and a history of hypertension(OR=1.28,95％CI:1.04-1.59)were independent risk factors for IFG occurrence in this population.Based on these variables,a column chart prediction model was constructed.In the training group,the model predicted an AUC of 0.722(95％CI:0.68-0.77)for IFG occurrence,while in the validation group,it predicted an AUC of 0.907(95％CI:0.87-0.94)for IFG occurrence.The results of the Hosmer-Lemeshow goodness of fit test showed that the models of the training and validation groups were not significantly different(P＞0.05);that is,the actual probability was consistent with the prediction probability of the model,and the models calibration was good.Conclusion A risk prediction model for IFG occurrence that included five variables:age,BMI,SBP,TG,and history of hypertension could be construted.This model might help to identify high-risk groups for IFG early and allow for inter-vention in a timely manner.

Objective To investigate a convenient and quantitative solution to activation levels and functional characterization of CAR-T cells by inserting T cell activity-responsive promoter (TARP) nanoluciferase reporter gene system into a lentiviral plasmid containing the gene encoding the chimeric antigen receptor (CAR). Methods The recombinant plasmid was constructed by using whole gene synthesis and molecular cloning techniques. The lentivirus was packaged and was infected with human primary T lymphocytes. Flow cytometry was used to detected the positive rate of lentivirus-infected T cells. The functional characterization of CAR-T cells was identified by luciferase reporter gene system, Western blot, flow cytometry, and small animal live imaging techniques. Results The results of enzyme digestion identification and the plasmid sequencing showed that the recombinant plasmids were constructed, and flow cytometry displayed the normal preparation of CAR-T cells. This system could dynamically respond to the activation of CAR-T cells by luciferase reporter gene system. The functional assay in vitro confirmed that the system could reflect the exhaustion of CAR-T cells, and the small animal live imaging results demonstrated that the system can be used as a tracer of CAR-T cells in mice. Conclusion TARP nanoluciferase reporter gene system provides a more convenient, sensitive and quantitative method for evaluating CAR-T cells activation level, exhaustion phenotype and tracing.
Humans ; Animals ; Mice ; T-Lymphocytes ; Cell Line, Tumor ; Receptors, Chimeric Antigen/genetics* ; Promoter Regions, Genetic ; Immunotherapy, Adoptive/methods*

ObjectiveTo explore the current status, hot spots and development of researches on post-stroke dysphagia in recent five years with visualization analysis. MethodsResearches on post-stroke dysphagia were retrieved from Web of Science Core Collection, from January 1st, 2017 to December 31st, 2021, and reviewed with CiteSpace 5.7.R5 software. ResultsA total of 857 articles were included. The annual number of articles increased with time, published from 61 countries/regions, by 211 institutions and 247 authors. The United States, Japan and China were the most prolific countries, and the University of Manchester was the leading institution. The top three authors were Dziewas R, Wakabayashi H and Hamdy S. The keywords bursting in recent three years included prediction, severity, percutaneous endoscopic gastrostomy, accuracy and early management; co-word clustering showed that researches might be mainly about neuromuscular electrical stimulation, swallowing screening, stroke-associated pneumonia, evidence-based practice, etc. ConclusionThe researches in the field of post-stroke dysphagia have been increasing.

Objective:To build a set of evidence-based quality of care indicators for patients with knee osteoarthritis(KOA) through a comprehensive literature search to collect high quality evidence. And provide theoretical reference for KOA clinical nursing.Methods:Systematically and comprehensively searched the Chinese English databases and relevant guide websites to collect KOA related guidelines, standards of care, recommendations and quality indicators. The databases search time of Chinese was from construction to 2018, and English was from 2001 to 2018. According to JBI levels of evidence classification and recommend system to evaluate the quality of evidence. Then established the quality indicators draft guided by the theory of structure-process-outcome quality pattern. Finally,implemented 2 rounds of experts consultation using Delphi method to confirm the quality indicators set for KOA.Results:A total of 137 KOA quality indicators were included after the comprehensive retrieval. The final indicator system consisted of three factors: quality of structure, quality of process and outcome quality, including 11 first-level indicators, 31 second-level indicators and 64 third-level indicators.Conclusions:In this study, the quality indicators set of KOA could supply the theoretical basis for the evaluation of KOA nursing institutions and provide reference for the establishment of quality evaluation in other fields.

Objective:To investigate the clinical value of computer tomography (CT)-based three-section formula in identification of Siewert types of adenocarcinoma of esophagogastric junction (AEG).Methods:The retrospective and descriptive study was conducted. The clinicopatho-logical data of 62 AEG patients who were admitted to two medical centers, including 33 patients from Peking University Cancer Hospital and 29 patients from the First Affiliated Hospital of Amy Medical University, between January 2019 and January 2021 were collected. There were 53 males and 9 females, aged (66±9)years. All patients underwent CT examination to obtain the coronal and axial images and determine the upper and lower edges of the tumor and the esophagogastric junction, which were imported into the formula for Siewert classification. Observation indicators: (1) results of CT examination and pathological examination; (2) consistence of judgements for CT examination between doctors; (3) consistence of judgements between CT examination and patholo-gical examination. Results of pathological examination came from intraoperative surgical observa-tion and postoperative histopathological examination. Measurement data with normal distribution were represented as Mean± SD, and count data were described as absolute numbers or percentages. The consistency coefficient Kappa ( κ) was used to evaluate the consistency of diagnosis between resear-chers. The κ≥0.75 was regarded as excellent consistency, 0.40< κ<0.75 as good consistency, κ ≤0.40 as poor consistency. Wilcoxon rank sum test was used to evaluate the statistical difference between results of the CT-based three-section formula method and the pathological examination. Taking the results of histopathological examination as standard, the sensitivity, specifi-city, accuracy and 95% confidence interval of the CT-based three-section formula method were calculated. Results:(1) Results of CT examination and pathological examination: all the 62 patients underwent CT examination successfully to obtain the coronal and axial images and determine the upper and lower edges of the tumor and the esophagogastric junction, which were used for Siewert classifica-tion. There were 3 cases with AEG of Siewert type Ⅰ, 47 cases with AEG of Siewert type Ⅱ and 12 cases with AEG of Siewert type Ⅲ according to doctor's judgement from the Peking University Cancer Hospital, and there were 3 cases with AEG of Siewert type Ⅰ, 49 cases with AEG of Siewert type Ⅱ and 10 cases with AEG of Siewert type Ⅲ according to doctor's judgement from the First Affiliated Hospital of Amy Medical University, respectively. After arbitration, there were 2 cases with AEG of Siewert type Ⅰ, 48 cases with AEG of Siewert type Ⅱ and 12 cases with AEG of Siewert type Ⅲ determined by the CT based three-section formula. There were 7 cases of stage T1, 10 cases of stage T2, 24 cases of stage T3, 14 of stage T4a and 7 cases of stage T4b of pathological T staging. There were 2 cases with AEG of Siewert type Ⅰ, 48 cases with AEG of Siewert type Ⅱ and 12 cases with AEG of Siewert type Ⅲ determined by pathological examination. (2) Consistence of judgements for CT examination between doctors: the consistency of Siewert classification determined by CT-based three-section formula between 2 doctors was good ( κ=0.74, P<0.001). (3) Consistence of judgements between pathological examination and CT examination: with Siewert classification determined by pathological examination as reference, the accuracy of Siewert classification determined by CT based three-section formula was 90.3%( κ=0.73, P<0.001). The sensitivity and specificity of CT-based three-section formula were 66.7%(95% confidence interval as 20.8%-93.9%) and 100.0%(95% confidence interval as 93.9%-100.0%) for AEG of Siewert type Ⅰ, 97.7%(95% confidence interval as 88.2%-99.6%) and 72.2%(95% confidence interval as 49.1%-87.5%) for AEG of Siewert type Ⅱ, 73.3%(95% confidence interval as 48.0%-89.1%) and 97.9%(95% confidence interval as 88.9%-99.9%) for AEG of Siewert type Ⅲ, respectively. Conclusion:The CT-based three-section formula can be used for identification of Siewert types of AEG, with a high accuracy.