Objective: To analyze the change trends in the body shape indicators and proportions of students in Harbin from 2010 to 2024, and to investigate ergonomic compatibility of functional dimensions of school desks and chairs with current student shape indicators, so as to provide a reference for revising furniture standards of desks and chairs. Methods: Between September and November of both 2010 and 2024, a combination of convenience sampling and stratified cluster random sampling was conducted across three districts in Harbin, yielding samples of 6 590 and 6 252 students, respectively. Anthropometric shape indicators cluding height, sitting height, crus length, and thigh length-and their proportional changes were compared over the 15-year period. The 2024 data were compared with current standard functional dimensions of school furniture. The statistical analysis incorporated t-test and Mann-Whitney U- test. Results: From 2010 to 2024, average height increased by 1.8 cm for boys and 1.5 cm for girls; sitting height increased by 1.5 cm for both genders; crus length increased by 0.3 cm for boys and 0.4 cm for girls; and thigh length increased by 0.5 cm for both genders. The ratios of sitting height to height, and sitting height to leg length increased by less than 0.1 . The difference between desk chair height and 1/3 sitting height ranged from 0.4-0.8 cm. Among students matched with size 0 desks and chairs, 22.0% had a desk to chair height difference less than 0, indicating that the desk to chair height difference might be insufficient for taller students. The differences between seat height and fibular height ranged from -1.4 to 1.1 cm; and the differences between seat depth and buttock popliteal length ranged from -9.8 to 3.4 cm. Among obese students, the differences between seat width and 1/2 hip circumference ranged from -20.5 to -8.7 cm, while it ranged from -12.2 to -3.8 cm among non obese students. Conclusion Current furniture standards basically satisfy hygienic requirements; however, in the case of exceptionally tall and obese students, ergonomic accommodations such as adaptive seating allocation or personalized adjustments are recommended to meet hygienic requirements.

Mechanical pain is one of the most common causes of clinical pain, but there remains a lack of effective treatment for debilitating mechanical and chronic forms of neuropathic pain. Recently, neurotoxin GsMTx4, a selective mechanosensitive (MS) channel inhibitor, has been found to be effective, while the underlying mechanism remains elusive. Here, with multiple rodent pain models, we demonstrated that a GsMTx4-based 17-residue peptide, which we call P10581, was able to reduce mechanical hyperalgesia and neuropathic pain. The analgesic effects of P10581 can be as strong as morphine but is not toxic in animal models. The anti-hyperalgesic effect of the peptide was resistant to naloxone (an μ-opioid receptor antagonist) and showed no side effects of morphine, including tolerance, motor impairment, and conditioned place preference. Pharmacological inhibition of TRPV4 by P10581 in a heterogeneous expression system, combined with the use of Trpv4 knockout mice indicates that TRPV4 channels may act as the potential target for the analgesic effect of P10581. Our study identified a potential drug for curing mechanical pain and exposed its mechanism.

Objective To evaluate the impact of intensified infection control measures on the incidence of health-care-associated infection(HAI)under the background of the reform of diagnosis-intervention packet(DIP)payment,and provide decision-making basis for HAI management under the reform of medical insurance payment.Methods The interrupted time series research design was used to collect the monitoring data of HAI in a tertiary first-class hospital from October 2021 to September 2024.The changing trend of HAI incidence was analyzed by piecewise li-near regression,and the intervention effect was evaluated by standardized infection ratio(SIR).Results From Oc-tober 2021 to September 2022,the incidence of HAI was 2.17％(95％CI:2.08％-2.26％),which dropped to 1.87％(95％CI:1.82％-1.92％)after the intervention.Piecewise linear regression analysis showed that the inci-dence of HAI decreased by 0.324％immediately after the intervention(95％CI:-0.481％--0.167％,P＜0.001),and the trend after the intervention changed significantly compared with that before the intervention(95％CI:-0.033％--0.009％,P=0.001).SIR analysis showed that the actual incidence during the entire intervention period was equivalent to 74.56％of the incidence in intervention period,gradually stabilized from 88.39％-93.81％at the beginning of the intervention to 67.03％-71.22％at the end of the study,and the intervention effect was sustained.Conclusion Intensified infection control measures under the background of the reform of DIP significantly reduce the incidence of HAI and improve the stability of infection control management,which provide new insights into the synergistic improvement of medical insurance payment and HAI management quality.

In the era of intelligence and individualization, gastric cancer surgery is under-going multidimensional advancements. The authors focus on the cutting-edge progress and future challenges of artificial intelligence (AI) in the diagnosis and decision-making, treatment and drug development, as well as postoperative rehabilitation in gastric cancer surgery. In terms of diagnosis, AI integrates imaging, liquid biopsy, pathology, and multimodal technologies to enhance diagnostic comprehensiveness and accuracy. Regarding decision-making, AI assists in formulating personalized treatment plans, conducting risk assessments, and predicting prognoses. In the treatment domain, AI facilitates the advancement of individualized surgical approaches, supports postoperative follow-up, and aids in physician education and training. In drug development, the introduction of virtual cell models and AlphaFold has improved the efficiency and accuracy of mechanistic and clinical research. For postoperative rehabilitation guidance, AI provides personalized recommendations to optimize treatment outcomes.AI holds great promise in gastric cancer surgery across diagnosis and decision-making, treatment and drug development, and postoperative rehabilitation. However, current AI technologies face challenges such as data sharing and privacy protection, multicenter research and model generalization, human-machine collaboration, interpretability, ethical considerations, sustaina-bility, and widespread adoption. Addressing these challenges will require collective efforts to fully leverage AI′s advantages in gastric cancer diagnosis and treatment.

The applications of nuclear technology in industries, medicine, and other fields have increased the risk of radiation injury. Although some small-molecule drugs for radiation injury treatment have been applied clinically or are in preclinical research, their therapeutic efficacy is significantly limited by short circulation time and rapid metabolism. Nanomaterials have attracted growing attention with their outstanding bioactivity, chemical stability, tissue compatibility, and targeted delivery capabilities, therefore having the promise of offering the potential solutions to the limitations of current small-molecule drugs. However, their biosafety and clinical efficacy require further investigation. This review summarizes the design strategies and classifications of nanomaterials for radiation injury treatment, analyzes current research progress in their therapeutic applications, and introduces nanomaterial-based approaches for enhancing the elimination of internal radionuclide contamination. Finally, the challenges and future prospects of nanomaterials in radiation injury treatment are discussed. This review aims to provide researchers with a comprehensive understanding of recent advances in nanomaterial-based radiation injury therapeutics, thereby promoting further development in this field.

The applications of nuclear technology in industries, medicine, and other fields have increased the risk of radiation injury. Although some small-molecule drugs for radiation injury treatment have been applied clinically or are in preclinical research, their therapeutic efficacy is significantly limited by short circulation time and rapid metabolism. Nanomaterials have attracted growing attention with their outstanding bioactivity, chemical stability, tissue compatibility, and targeted delivery capabilities, therefore having the promise of offering the potential solutions to the limitations of current small-molecule drugs. However, their biosafety and clinical efficacy require further investigation. This review summarizes the design strategies and classifications of nanomaterials for radiation injury treatment, analyzes current research progress in their therapeutic applications, and introduces nanomaterial-based approaches for enhancing the elimination of internal radionuclide contamination. Finally, the challenges and future prospects of nanomaterials in radiation injury treatment are discussed. This review aims to provide researchers with a comprehensive understanding of recent advances in nanomaterial-based radiation injury therapeutics, thereby promoting further development in this field.

In the era of intelligence and individualization, gastric cancer surgery is under-going multidimensional advancements. The authors focus on the cutting-edge progress and future challenges of artificial intelligence (AI) in the diagnosis and decision-making, treatment and drug development, as well as postoperative rehabilitation in gastric cancer surgery. In terms of diagnosis, AI integrates imaging, liquid biopsy, pathology, and multimodal technologies to enhance diagnostic comprehensiveness and accuracy. Regarding decision-making, AI assists in formulating personalized treatment plans, conducting risk assessments, and predicting prognoses. In the treatment domain, AI facilitates the advancement of individualized surgical approaches, supports postoperative follow-up, and aids in physician education and training. In drug development, the introduction of virtual cell models and AlphaFold has improved the efficiency and accuracy of mechanistic and clinical research. For postoperative rehabilitation guidance, AI provides personalized recommendations to optimize treatment outcomes.AI holds great promise in gastric cancer surgery across diagnosis and decision-making, treatment and drug development, and postoperative rehabilitation. However, current AI technologies face challenges such as data sharing and privacy protection, multicenter research and model generalization, human-machine collaboration, interpretability, ethical considerations, sustaina-bility, and widespread adoption. Addressing these challenges will require collective efforts to fully leverage AI′s advantages in gastric cancer diagnosis and treatment.

Objective To evaluate the impact of intensified infection control measures on the incidence of health-care-associated infection(HAI)under the background of the reform of diagnosis-intervention packet(DIP)payment,and provide decision-making basis for HAI management under the reform of medical insurance payment.Methods The interrupted time series research design was used to collect the monitoring data of HAI in a tertiary first-class hospital from October 2021 to September 2024.The changing trend of HAI incidence was analyzed by piecewise li-near regression,and the intervention effect was evaluated by standardized infection ratio(SIR).Results From Oc-tober 2021 to September 2022,the incidence of HAI was 2.17％(95％CI:2.08％-2.26％),which dropped to 1.87％(95％CI:1.82％-1.92％)after the intervention.Piecewise linear regression analysis showed that the inci-dence of HAI decreased by 0.324％immediately after the intervention(95％CI:-0.481％--0.167％,P＜0.001),and the trend after the intervention changed significantly compared with that before the intervention(95％CI:-0.033％--0.009％,P=0.001).SIR analysis showed that the actual incidence during the entire intervention period was equivalent to 74.56％of the incidence in intervention period,gradually stabilized from 88.39％-93.81％at the beginning of the intervention to 67.03％-71.22％at the end of the study,and the intervention effect was sustained.Conclusion Intensified infection control measures under the background of the reform of DIP significantly reduce the incidence of HAI and improve the stability of infection control management,which provide new insights into the synergistic improvement of medical insurance payment and HAI management quality.

Objective:To analyze RELT gene mutation found in a pedigree with clinical features and inheritable pattern consistent with amelogenesis imperfecta(AI)in China,and to study the relationship between its genotype and phenotype.Methods:Clinical and radiological features were recorded for the affected individuals.Peripheral venous blood samples of the patient and family members were collected for further study,and the genomic DNA was extracted to identify the pathogenic gene.Whole exome sequencing(WES)was performed to analyze the possible pathogenic genes,and Sanger sequencing was performed for validation.SIFT and PolyPhen-2 were used to predict and analyze the mutation effect.Comparison of RELT amino acids across different species were performed by using Uniprot website.In addition,the three-dimen-sional structures of the wild type and mutant proteins were predicted by Alphafold 2.Results:The proband exhibited typical hypocalcified AI,with heavy wear,soft enamel,rough and discolored surface,and partial enamel loss,while his parents didn't have similar manifesta-tions.WES and Sanger sequencing results indicated that the proband carries a homozygous frameshift mu-tation in RELT gene,NM_032871.3:c.1169_1170del,and both of his parents were carriers.This mu-tation was predicted to be pathogenic by SIFT and Poly Phen-2.Up to now,there were 11 mutation sites in RELT gene were reported to be associated with AI,and all of the patients exhibited with hypocalcified AI.Compared with the wild-type RE LT protein,the mutant protein p.Pro390fs35 conformation terminated prematurely,affecting the normal function of the protein.Conclusion:Through phenotype analysis,gene sequencing,and functional prediction of a Chinese family with typical amelogenesis imperfecta,this study found that RELT gene frameshift mutation can lead to protein dysfunction in AI patients.Further research will focus on the role and mechanism of RELT in enamel development at the molecular and animal levels,providing molecular biology evidence for the genetic counseling,prenatal diagnosis,and early prevention and treatment of AI.

Rare diseases occupy a critical position in global public health concern,profoundly influen-cing pediatric demographics,particularly in neonates.The rapid development of next-generation sequencing technologies in recent years has significantly enhanced the capacity for early detection and targeted treatment strategies for rare diseases.Globally,neonatal genome projects are being implemented with the primary goal of demonstrating the efficacy and benefits of gene sequencing technology in diagnosing genetic rare diseases.Spe-cifically in China,the Genetic Counseling Branch of the Chinese Genetics Society,in partnership with the Children's Hospital of Fudan University,launched the China Neonatal Genomes Project(CNGP).This pro-ject,including 100 000 cases and integrating extensive genomic data with detailed phenotypic information,aims to facilitate a thorough investigation of genotype-phenotype correlations in rare neonatal diseases.These ini-tiatives will not only open new pathways for the early identification of genetic factors in rare diseases but also are instrumental in the advancement of precision medicine.Moreover,they may also contribute to the fields of phar-macogenomics and the understanding of adult-onset diseases.Based on various genotype-phenotype cohort studies undertaken by the CNGP,we review the data collection process related to genotype-phenotype in neo-natal rare diseases and outline the advancements in previous cohort studies.We also intend to assess the present challenges on neonatal rare diseases,and propose insightful recommendations for future studies.