: To analyze the prevalence of anemia and iron deficiency among primary and secondary school students in Rural Nutrition Improvement Program areas of Guizhou Province in 2023, and to explore the related factors, so as to provide evidence for Rural Nutrition Improvement Program optimization. Methods: In September 2023, a stratified random cluster sampling strategy was used to select 40 rural compulsory education schools with rural nutrition improvement program in five counties of Guizhou Province. School level questionnaire was employed to collect information of basic characteristics and school meal implementation. A total of 7 826 primary and secondary school students aged 6-16 underwent anthropometry and hemoglobin (Hb) determination; serum ferritin (SF) was additionally measured in a random subsample of 1 795 pupils. Students in Grade 3 and above also completed a questionnaire covering demographic characteristics, dietary behaviours and nutrition knowledge. Group comparisons were conducted by Chi square test or Fisher s exact test, and multivariable Logistic regression models were constructed to identify factors associated with anemia and iron deficiency. Results: The overall Hb level was (133.21±12.95)g/L, with an anemia prevalence of 7.17%. The overall SF level was (69.58±59.01)μg/L, with an iron deficiency prevalence of 2.73%. Multivariable analysis showed that stunting ( OR =1.88), school menus without nutrient calculation ( OR =1.61) and absence of menu planning software in the current semester ( OR =2.34) independently increased anemia risk, whereas obesity reduced it ( OR =0.54) (all P <0.05). Girls ( OR =4.16) and Grades 7-9 ( OR =5.93) increased iron deficiency risk (both P <0.05). Compared with rarely eating fresh vegetables, students with consuming <3 kinds per day ( OR =0.08) or exactly 3 kinds per day ( OR =0.06) had lower iron deficiency risks (both P <0.05). Conclusions Anemia and iron deficiency are prevalent among primary and secondary school students in Guizhou. Targeted intervention measures should be implemented for key populations to enhance the effectiveness of nutrition improvement program.

Objective To evaluate the safety of the 13-valent pneumococcal polysaccharide conjugate vaccine (tetanus toxoid/diphtheria toxoid) (PCV13-TT/DT) among age-eligible children in Tianjin through a combination of active and passive surveillance methods. Methods From July 15, 2023, to August 31, 2024, active surveillance for adverse events following immunization (AEFI) was conducted among recipients of PCV13-TT/DT at 18 selected vaccination clinics in Tianjin. Recipients were monitored through on-site observation or telephone follow-up within 30 minutes after vaccination and on days 1, 3, 7, and 28. Passive surveillance for AEFI was conducted among recipients of PCV13-TT/DT at other vaccination clinics across the city. The incidence of AEFI was analyzed using descriptive epidemiological methods. Results A total of 24 916 recipients of PCV13-TT/DT were observed, with 440 AEFI cases reported, resulting in an overall incidence rate of 176.59 per 10 000. The incidence rate of AEFI in active surveillance was 813.79 per 10 000, significantly higher than that in passive surveillance (20.49 per 10 000; P< 0.001). The incidence rates of general reactions, abnormal reactions, and coincidental cases in active surveillance were 744.44 per 10 000, 8.16 per 10 000, and 61.19 per 10 000, respectively, all of which were higher than those in passive surveillance (18.49 per 10 000, 0.50 per 10 000, and 1.50 per 10 000), with P values < 0.05. General reactions were mainly characterized by fever, local redness, and local induration. Abnormal reactions included angioedema and allergic rash. Coincidental cases were mainly infections. No severe adverse reactions occurred. Conclusion The large-scale vaccination of PCV13-TT/DT after its launch has good safety, and continuous strengthening of vaccine safety monitoring is needed.

Neurocritical care involves complex pathophysiological mechanisms, and its incidence is higher, injuries are more severe, and treatment is more challenging in high-altitude environments. This consensus, based on the latest domestic and international evidence-based medical data, establishes a standardized, goal-oriented framework for neurocritical care management applicable in high-altitude regions and nationwide. The consensus was developed following international standards for evidence quality assessment and underwent two rounds of Delphi expert consultation, resulting in 32 recommendation statements covering three parts: management systems, monitoring and assessment, and core strategies. Key updates include: advocating for the establishment of independent neurocritical care units and implementing precise tiered diagnosis and treatment based on the "Five Differences in Critical Care" concept; constructing a "trinity" multimodal brain monitoring system centered on cerebral blood flow, cerebral oxygenation, and brain function, emphasizing routine bedside transcranial Doppler ultrasound, cerebral oximetry, and continuous electroencephalography monitoring; shifting management strategies from mild hypothermia therapy to targeted temperature management, and defining the "446" target management pathway for the supercritical stage; emphasizing the assessment of static and dynamic cerebrovascular autoregulation functions through multimodal methods to achieve individualized optimal mean arterial pressure management; elevating cerebrospinal fluid management goals to the level of "glymphatic system" function maintenance; implementing a multidisciplinary collaborative, whole-process management model focusing on patients' long-term neurological functional outcomes; de-escalation criteria include multidimensional indicators such as recovery of brain structure, restoration of cerebrovascular autoregulation, improvement in cerebrospinal fluid dynamics, and reduction in biomarker levels; and integrating cutting-edge technologies like artificial intelligence into post-critical care management and rehabilitation planning. This consensus systematically integrates the entire process of neurocritical care management, reflecting the modern connotation of goal-oriented, dynamic, and multimodal integration in neurocritical care medicine. It aims to adapt to new trends such as deepening understanding of pathophysiological mechanisms, the integration of medicine and engineering, and the empowerment of artificial intelligence, thereby further advancing the discipline of critical care medicine.

Objective: To identify the structure of the complementarity determining region (CDRs), the V(D)J rearrangement and somatic hypermutational characteristics of the heavy and light chains of a red blood cell blood group-specific monoclonal antibody. Methods: The hybridoma cell line secreting human IgM κ monoclonal anti-P antibody was used as the research object. Total RNA was extracted from cultured monoclonal cell line, and cDNA was obtained by reverse transcription PCR (RT-PCR) using random hexamers primers. It was then amplified and sequenced using primers specific for variable regions of the immunoglobulin heavy and light chains encoding the anti-P antibody. The sequences were aligned against the NCBI database using online Immunoglobulin BLAST (Ig-BLAST) tool. Results: The study determined the structure of the CDRs and framework regions (FRs) of the variable regions of human monoclonal anti-P immunoglobulin, as well as the characteristics of V(D)J rearrangement. Moreover, the closest VH, VD, and VJ germline alleles for the heavy chain and VL and VJ germline alleles for the light chain were also identified. The IgH gene rearrangment pattern of the monoclonal anti-P was IGHV6-1 * 01—IGHD5-18 02—IGHJ4 02 and IgL gene was IGκV1-12 01—IGκJ3 01. Nine base mutations occurred within the germline gene IGHV6-1 01 in variable region of heavy chain, whereas 5 base mutations were found in the germline gene IGκV1-12 01 in variable region of light chain, respectively. Conclusion: This study characterized the CDR structure in monoclonal antibody cell line targeting the high-frequency red blood cell P antigen, and provided a foundation for the construction of recombinant antibody expressing plasmids and transfomation of the immunoglobulin type.

As the core vehicle for preserving and transmitting traditional Chinese medicine（TCM） academic thought and clinical experience， the establishment of a robust quality evaluation system for TCM clinical case reports is a crucial component in the current standardization and modernization of TCM. Based on the practical experience of constructing the China Clinical Cases Library of Traditional Chinese Medicine by the China Association of Chinese Medicine， this study conducted a comprehensive analysis of critical challenges， including insufficient authenticity and unfocused evaluation criteria. It proposed a three-dimensional evaluation framework grounded in the structure-process-outcome logic， encompassing three dimensions of authenticity and standardization， characteristics and advantages， application and translational impact. This framework integrated 12 key evaluation indicators in a systematic manner. The model preserved the academic characteristics of TCM syndrome differentiation and treatment， while aligning with modern scientific research standards， achieving a balance between individualized TCM experience and standardized evaluation. Concurrently， this study provided theoretical foundations and methodological guidance for evaluating the quality of TCM clinical cases， contributing significantly to the inheritance of TCM knowledge， evidence-based practice， and the reform of talent evaluation mechanisms.

Background: Chinese herbal pieces are an essential component of traditional Chinese medicine. Accurate identification and classification of these materials are crucial in clinical practice. Objective: This study aims to enhance the recognition efficiency of Chinese herbal pieces using deep learning technology, while addressing the limitations of traditional manual classification methods in terms of both quality and efficiency. Methods: A comprehensive dataset containing 201 types of Chinese herbal pieces was established. Based on Real-time Detection Transformer (RT-DETR), we designed and integrated a Feature-focused Diffusion Network (FDN), resulting in an improved model termed RT-DETR-FDN. The proposed FDN includes a Feature-focus Module and a feature diffusion mechanism, enabling the model to capture more extensive feature information from Chinese herbal pieces and diffuse it across multiple detection scales. Results: Experimental results show that RT-DETR-FDN achieved a precision of 0.925, a recall of 0.943, and an mAP50-95 of 0.851. In addition, the model was compared with representative You Only Look Once series models commonly used in object detection. Compared with these models, RT-DETR-FDN achieved higher recognition accuracy while maintaining a lightweight architecture. Conclusion: This study integrates deep learning with traditional Chinese medicine, providing a more effective solution for the recognition of Chinese herbal pieces.

Objective: To examine the effects of combined aerobic and resistance exercise on health related physical fitness (HPF) and depressive symptoms among senior high school freshmen, and to examine whether HPF mediates the relationship between exercise intervention and depressive symptoms, so as to provide a scientific basis for the coordinated promotion of mental health and physical fitness in schools. Methods: In March 2022, 190 senior high school freshmen from a secondary school of Suzhou in Anhui Province were selected by the random cluster sampling method and randomly assigned to an intervention group ( n = 99) and a control group ( n =91). The control group maintained routine activities, while the intervention group underwent a 10 week combined aerobic and resistance exercise program, three sessions per week, 40 minutes per session. Height, weight, standing long jump, sit ups, 20 m shuttle run, and sit and reach were measured before and after the intervention. Depressive symptoms were assessed using the Center for Epidemiological Studies Depression Scale (CES-D). Analysis of covariance (ANCOVA), Mann-Whitney U test, and Wilcoxon test were employed to compare outcomes before and after the intervention, and mediation analysis was conducted. Results: After controlling for pre test scores, ANCOVA results showed that compared with the control group, the intervention group demonstrated the following post intervention changes: a lower body mass index of 0.1 kg/m 2 among girls; higher standing long jump (13.2 cm for boys, 7.4 cm for girls), higher sit ups (5.5 reps for boys, 3.7 reps for girls), higher 20 m shuttle run (7.4 times for boys, 5.1 times for girls), and higher sit and reach (3.2 cm for boys, 0.4 cm for girls) ( F =17.88-84.44); and lower CES-D scores (5.5 for boys, 4.0 for girls) ( Z =-2.51, -2.06) (all P <0.05). The indirect effect of HPF in the relationship between combined aerobic and resistance exercise and depressive symptoms was -2.11, supporting a partial mediation effect ( P < 0.01 ). Conclusions Combined aerobic and resistance exercise improves HPF and alleviates depressive symptoms to varying degrees among senior high school freshmen. HPF served as a partial mediator through which exercise intervention reduces depressive symptoms.

Objective To explore the relationship between PANoptosis and hepatic ischemia-reperfusion injury (HIRI), and to screen the key genes of PANoptosis in HIRI. Methods PANoptosis-related differentially expressed genes (PDG) were obtained through the Gene Expression Omnibus database and GeneCards database. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA) were used to explore the biological pathways related to PDG. A protein-protein interaction network was constructed. Key genes were selected, and their diagnostic value was assessed and validated in the HIRI mice. Immune cell infiltration analysis was performed based on the cell-type identification by estimating relative subsets of RNA transcripts. Results A total of 16 PDG were identified. GO analysis showed that PDG were closely related to cellular metabolism. KEGG analysis indicated that PDG were mainly enriched in cellular death pathways such as apoptosis and immune-related signaling pathways such as the tumor necrosis factor signaling pathway. GSEA results showed that key genes were mainly enriched in immune-related signaling pathways such as the mitogen-activated protein kinase (MAPK) signaling pathway. Two key genes, DFFB and TNFSF10, were identified with high accuracy in diagnosing HIRI, with areas under the curve of 0.964 and 1.000, respectively. Immune infiltration analysis showed that the control group had more infiltration of resting natural killer cells, M2 macrophages, etc., while the HIRI group had more infiltration of M0 macrophages, neutrophils, and naive B cells. Real-time quantitative polymerase chain reaction results showed that compared with the Sham group, the relative expression of DFFB messenger RNA in liver tissue of HIRI group mice increased, and the relative expression of TNFSF10 messenger RNA decreased. Cibersort analysis showed that the infiltration abundance of naive B cells was positively correlated with DFFB expression (r=0.70, P=0.035), and the infiltration abundance of M2 macrophages was positively correlated with TNFSF10 expression (r=0.68, P=0.045). Conclusions PANoptosis-related genes DFFB and TNFSF10 may be potential biomarkers and therapeutic targets for HIRI.

Colorectal cancer is a common and malignant tumor in the digestive tract. Invasion and metastasis of cancer cells are key factors leading to the high mortality rate and postoperative recurrence of colorectal cancer. Chemotherapy is the main treatment method for preventing recurrence of this disease. However， there are many toxic side effects in clinical application， which seriously hinder the treatment process. Therefore， it is imperative to search for efficient and low-toxicity drugs. Traditional Chinese medicine （TCM） has a long history of treating colorectal cancer and offers advantages such as safety， effectiveness， multiple targets， multiple pathways and minimal toxic side effects， which have made it increasingly popular worldwide. According to TCM， the pathogenesis of colorectal cancer is rooted in both deficiency and excess. TCM formulas mainly focus on tonifying the body to address the invasion and metastasis of colorectal cancer， such as Jianpi compound， Jianpi Xiaoai decoction， and Bushen Jiedu Sanjie decoction. TCM monomers， such as emodin， berberine， and tanshinone， mainly focus on clearing heat and removing toxin， circulating blood and transforming stasis， and resolving swelling and dispersing nodules. Signaling pathways play a crucial role for analyzing invasion and metastasis， and research has shown that pathways such as Wnt/β-catenin， phosphatidylinositol-3 kinase/protein kinase （PI3K/Akt）， Janus kinase 2/signal transduction and transcription activating factor 3 （JAK2/STAT3）， nuclear factors-κB （NF-κB）， vascular endothelial growth factor （VEGF） play important roles in the invasion and metastasis of colorectal cancer. The invasion and metastasis of colorectal cancer can be inhibited via regulating the key proteins and related factors in these pathways. In this review， we searched various literature databases， such as PubMed， China National Knowledge Infrastructure （CNKI）， and VIP， using keywords such as "colorectal cancer"， "signaling pathway"， "invasion and metastasis"， and "traditional Chinese medicine"， to summarize and analyze the relevant pathways of TCM compounds and monomers against invasion and metastasis of colorectal cancer published in the past five years. The review aims to provide new insights and references for in-depth research on the therapy for invasion and metastasis of colorectal cancer and new drug development.

Exercise-induced metabolic remodeling is a fundamental adaptive process whereby the body reorganizes systemic and cellular metabolism to meet the dynamic energy demands posed by physical activity. Emerging evidence reveals that such remodeling not only enhances energy homeostasis but also profoundly influences immune function through complex molecular interactions involving glucose, lipid, and protein metabolism. This review presents an in-depth synthesis of recent advances, elucidating how exercise modulates immune regulation via metabolic reprogramming, highlighting key molecular mechanisms, immune-metabolic signaling axes, and the authors’ academic perspective on the integrated “exercise-metabolism-immunity” network. In the domain of glucose metabolism, regular exercise improves insulin sensitivity and reduces hyperglycemia, thereby attenuating glucose toxicity-induced immune dysfunction. It suppresses the formation of advanced glycation end-products (AGEs) and interrupts the AGEs-RAGE-inflammation positive feedback loop in innate and adaptive immune cells. Importantly, exercise-induced lactate, traditionally viewed as a metabolic byproduct, is now recognized as an active immunomodulatory molecule. At high concentrations, lactate can suppress immune function through pH-mediated effects and GPR81 receptor activation. At physiological levels, it supports regulatory T cell survival, promotes macrophage M2 polarization, and modulates gene expression via histone lactylation. Additionally, key metabolic regulators such as AMPK and mTOR coordinate immune cell energy balance and phenotype; exercise activates the AMPK-mTOR axis to favor anti-inflammatory immune cell profiles. Simultaneously, hypoxia-inducible factor-1α (HIF-1α) is transiently activated during exercise, driving glycolytic reprogramming in T cells and macrophages, and shaping the immune landscape. In lipid metabolism, exercise alleviates adipose tissue inflammation by reducing fat mass and reshaping the immune microenvironment. It promotes the polarization of adipose tissue macrophages from a pro-inflammatory M1 phenotype to an anti-inflammatory M2 phenotype. Moreover, exercise alters the secretion profile of adipokines—raising adiponectin levels while reducing leptin and resistin—thereby influencing systemic immune balance. At the circulatory level, exercise improves lipid profiles by lowering pro-inflammatory free fatty acids (particularly saturated fatty acids) and triglycerides, while enhancing high-density lipoprotein (HDL) function, which has immunoregulatory properties such as endotoxin neutralization and macrophage cholesterol efflux. Regarding protein metabolism, exercise triggers the expression of heat shock proteins (HSPs) that act as intracellular chaperones and extracellular immune signals. Exercise also promotes the secretion of myokines (e.g., IL-6, IL-15, irisin, FGF21) from skeletal muscle, which modulate immune responses, facilitate T cell and macrophage function, and support immunological memory. Furthermore, exercise reshapes amino acid metabolism, particularly of glutamine, arginine, and branched-chain amino acids (BCAAs), thereby influencing immune cell proliferation, biosynthesis, and signaling. Leucine-mTORC1 signaling plays a key role in T cell fate, while arginine metabolism governs macrophage polarization and T cell activation. In summary, this review underscores the complex, bidirectional relationship between exercise and immune function, orchestrated through metabolic remodeling. Future research should focus on causative links among specific metabolites, signaling pathways, and immune phenotypes, as well as explore the epigenetic consequences of exercise-induced metabolic shifts. This integrated perspective advances understanding of exercise as a non-pharmacological intervention for immune regulation and offers theoretical foundations for individualized exercise prescriptions in health and disease contexts.