Under the background of the Healthy China strategy， the integration of traditional Chinese medicine （TCM） into the public health emergency response system has become an important measure to enhance the capacity for coping with public health emergencies. In recent years， the role of TCM in responding to such emergencies has become increasingly prominent. Taking major emerging epidemics as an example， TCM has developed a rich theoretical system and practical experience in epidemic prevention and treatment over thousands of years， and has played a significant role in successive outbreaks with its unique advantages. Based on the concept of ''preventing disease before its onset'' and the theoretical framework of treatment based on syndrome differentiation， TCM has achieved remarkable results through early intervention and full participation in the integrated model of TCM and Western medicine， from severe acute respiratory syndrome （SARS） to corona virus disease-2019 （COVID-19）， in improving clinical symptoms and outcomes， reducing adverse reactions， and promoting recovery. From the perspective of the Healthy China strategy， this paper systematically reviews the historical development of TCM in epidemic prevention and treatment， with particular attention to recent epidemics such as SARS， influenza A （H1N1）， and COVID-19. It further examines the similarities and differences between TCM and Western medicine in responding to major emerging epidemics， as well as relevant policies related to TCM in epidemic prevention and control. In addition， it summarizes the existing problems in TCM's role in the prevention and treatment of major emerging epidemics， and explores measures to improve its rapid response capacity under the Healthy China strategy. This study not only provides a ''Chinese solution'' for the prevention and control of newly emerging infectious diseases worldwide， but also offers theoretical and practical references for strengthening the public health emergency response system， carrying strategic significance for promoting the modernization and internationalization of TCM.

OBJECTIVE: To evaluate the efficacy and safety of a hospital-made resuscitation pack, a Chinese medicinal herbal compound formula designed to enhance recovery in post-bronchoscopy patients. METHODS: In this randomized, single-blind, placebo-controlled clinical trial, eligible patients were randomly assigned 1:1 to either the treatment or control groups. The patients in the treatment group applied the resuscitation pack, which contained aromatic compounded Chinese herbs. The patients in the control group applied a hospital-made, single herb placebo pack. Packs were placed on the Tiantu (CV 22) acupuncture point for 4 h as soon as the bronchoscopy finished. Efficacy indicators, such as recovery time, patients' symptoms including nausea and dizziness, and adverse events (AEs) were observed and compared. The outcome indices were evaluated at baseline, 1 and 24 h after the bronchoscopy. Subgroup analysis was further performed by patients' age and depth of sedation. RESULTS: When applying generalized estimating equations (GEE) to evaluate the intensity of post-bronchoscopy nausea and vomiting, the intensity was lower in the treatment group (163 cases) compared with the control group (162 cases; 95% CI: 0.004, 0.099, P=0.03]. Also, significantly lower intensity of nausea was observed in the 60-70 years of age subgroup (95% CI: 0.029, 0.169, P=0.006) and deep sedation subgroup (95% CI: 0.002, 0.124; P=0.04). There was no significant difference in dizziness between two groups by GEE (95% CI: -0.134, 0.297; P=0.459). In addition, no serious AEs were observed in either group. CONCLUSIONS Our study found that the resuscitation pack markedly improved patients' symptoms by reducing nausea and vomiting after bronchoscopy without AEs, compared with placebo in the perioperative period. (Trial registration No. ChiCTR2000038299).
Humans ; Male ; Middle Aged ; Female ; Bronchoscopy/adverse effects* ; Single-Blind Method ; Aged ; Drugs, Chinese Herbal/adverse effects* ; Treatment Outcome ; Resuscitation ; Adult ; Medicine, Chinese Traditional

T-cell acute lymphoblastic leukemia (T-ALL) is a highly aggressive hematologic malignancy with a poor prognosis, despite advancements in treatment. Many patients struggle with relapse or refractory disease. Investigating the role of the super-enhancer (SE) regulated gene ubiquitin-specific protease 20 (USP20) in T-ALL could enhance targeted therapies and improve clinical outcomes. Analysis of histone H3 lysine 27 acetylation (H3K27ac) chromatin immunoprecipitation sequencing (ChIP-seq) data from six T-ALL cell lines and seven pediatric samples identified USP20 as an SE-regulated driver gene. Utilizing the Cancer Cell Line Encyclopedia (CCLE) and BloodSpot databases, it was found that USP20 is specifically highly expressed in T-ALL. Knocking down USP20 with short hairpin RNA (shRNA) increased apoptosis and inhibited proliferation in T-ALL cells. In vivo studies showed that USP20 knockdown reduced tumor growth and improved survival. The USP20 inhibitor GSK2643943A demonstrated similar anti-tumor effects. Mass spectrometry, RNA-Seq, and immunoprecipitation revealed that USP20 interacted with hypoxia-inducible factor 1 subunit alpha (HIF1A) and stabilized it by deubiquitination. Cleavage under targets and tagmentation (CUT&Tag) results indicated that USP20 co-localized with HIF1A, jointly modulating target genes in T-ALL. This study identifies USP20 as a therapeutic target in T-ALL and suggests GSK2643943A as a potential treatment strategy.

Glutamine provides carbon and nitrogen to support the proliferation of cancer cells. However, the precise reason why cancer cells are particularly dependent on glutamine remains unclear. In this study, we report that glutamine modulates the tumor suppressor F-box and WD repeat domain-containing 7 (FBW7) to promote cancer cell proliferation and survival. Specifically, lysine 604 (K604) in the sixth of the 7 substrate-recruiting WD repeats of FBW7 undergoes glutaminylation (Gln-K604) by glutaminyl tRNA synthetase. Gln-K604 inhibits SCFFBW7-mediated degradation of c-Myc and Mcl-1, enhances glutamine utilization, and stimulates nucleotide and DNA biosynthesis through the activation of c-Myc. Additionally, Gln-K604 promotes resistance to apoptosis by activating Mcl-1. In contrast, SIRT1 deglutaminylates Gln-K604, thereby reversing its effects. Cancer cells lacking Gln-K604 exhibit overexpression of c-Myc and Mcl-1 and display resistance to chemotherapy-induced apoptosis. Silencing both c-MYC and MCL-1 in these cells sensitizes them to chemotherapy. These findings indicate that the glutamine-mediated signal via Gln-K604 is a key driver of cancer progression and suggest potential strategies for targeted cancer therapies based on varying Gln-K604 status.
Glutamine/metabolism* ; Myeloid Cell Leukemia Sequence 1 Protein/genetics* ; Humans ; Proto-Oncogene Proteins c-myc/genetics* ; Cell Proliferation ; Signal Transduction ; Neoplasms/pathology* ; F-Box-WD Repeat-Containing Protein 7/genetics* ; Cell Survival ; Cell Line, Tumor ; Apoptosis

Forensic medicine has been designated as a first-level discipline,presenting new opportunities and challenges for the development of forensic medicine.Since the 1980s,the establishment of foren-sic medicine discipline and the cultivation of high-level forensic talents have become hot topics in the development of forensic medicine in China.Since the 13th Five-Year Plan,the forensic team of Shanxi Medical University has been aiming at the forefront,proposing the development goals of"Five First-class"and the discipline development path"Six Major Achievements".It has selected benchmark disci-plines,identified gaps in disciplinary development,unified thoughts,formulated completion timelines,concentrated superior resources,assigned tasks to individuals,and created an"Organized Fill-in-the-Blank Format"forensic medicine discipline construction model with the characteristics of the new era.The construction model of forensic medicine has achieved good results in the goals,discipline frame-work,scientific research,talent cultivation,discipline team and platform construction,forming a rela-tively complete discipline construction and management system,and accumulating valuable experience for the construction of first-level discipline and high-level talent cultivation of forensic medicine.

ObjectiveTo explore the correlation between blood stasis constitution （BSC） and diseases based on constitution literature involving “constitution-diseases correlation”. MethodsA comprehensive search was conducted on six Chinese and English electronic databases including CNKI， Wanfang， VIP， SinoMed， PubMed and Embase to find all clinical researches on the correlation between constitution and diseases using the Classification and Identification of Chinese Medicine Constitution standard from April 1st， 2009 to December 31st， 2022， and the participants of the research were BSC related. By analyzing the characteristics of the literature， such as authors， publication institutes， participants， and results， the disease with the highest proportion of BSC distribution or BSC as their risk factors or protective factors were summarized to explore the correlation between BSC and diseases. ResultsTotally 135 clinical studies on diseases highly related to BSC were included， with a total sample size of 71 172 cases.There were 27 keywords in the articles appeared more than 3 times， including the elderly， lumbar disc herniation， coronary heart disease， cardiovascular disease， and endometriosis. In the author's clustering， included studis were mainly from Shenzhen Hospital of Beijing University of Chinese Medicine， Second Affiliated Hospital of Guangzhou University of Chinese Medicine， and Wenzhou Central Hospital. In terms of blood stasis related diseases， 81 studies showed that BSC was the most common type of constitution in the study population， involving 48 disease or morbid states. The diseases and median proportions of BSC with reported literature ≥3 included coronary heart disease （28.8%）， endometriosis （31.3%）， neurocognitive impairment （26.4%）， lumbar disc herniation （26.0%）， ischemic stroke （25.0%）， adenomyosis （34.7%）， and endometrial polyps （25.0%）. Fifty-eight studies found that BSC was a risk factor for disease occurrence，and these diseases reported more than 3 times included hypertension （median OR = 2.956）， type 2 diabetes （median OR = 3.436），osteoporosis （median OR = 5.171）， sudden deafness （median OR = 3.827） and endometriosis （median OR = 5.412）. One study indicated BSC as the protective factor of lateral growth tumor of large intestine （median OR = 0.161）. ConclusionBSC is closely related to circulatory system diseases， urogenital system diseases， and musculoskeletal system diseases.

Objective To explore the changes of plasma metabolites in Uygur and Kazak patients with type 2 diabetes mellitus(T2DM)and people with normal glucose tolerance(NGT),construct the profile of different metabolites and analyze different metabolic pathways.Methods Plasma samples of T2DM and NGT from Uygur and Kazak were collected for detection.Ultra-high performance liquid chromatography tandem quadrupole time-of-flight mass spectrometry was used for detection.MetaboAnalyst 5.0 was used to analyze the data,and the screening conditions were P＜0.05 and fold change(FC)＜0.90 or FC＞1.10.We used The Kyoto Encyclopedia of Genes and Genomes database to enrich and explore the metabolic pathways of different metabolites.Results Compared with the Uighur NGT group,there are 109 differential metabolites in the T2DM group,and 43 unique differential metabolites are mainly concentrated in five pathways,such as phenylalanine biosynthesis,tyrosine biosynthesis,and tryptophan metabolism.Compared with the NGT group,Kazak T2DM has 86 differential metabolites,and 28 unique differential metabolites are mainly enriched in the urea cycle,arginine,and proline metabolism(impact＞0.10,P＜0.05).Conclusion In this study,the plasma metabolic profile of T2DM patients was constructed,and the unique metabolites of T2DM in Uygur and Kazak were screened out,which provided potential biomarkers for early prevention of T2DM.

Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.