Objective To design an intelligent airborne soldier physical training system based on human body composition analysis to solve the problems in diversity of training mode,targeted training plan and high incidence of military training-related injuries.Methods The intelligent airborne military physical training system was designed with B/S architecture and developed with Python language,which was composed of four functional modules for airborne soldier information acquisition,trainee physical fitness state assessment,physical fitness training program recommendation and airborne soldier physical fitness training program evaluation.The airborne soldier information acquisition module collected and analyzed the trainee physiological parameter information with a human body composition analyzer,clarified the parameter characteristics related to physical training with considerations on military physical training requirements and constructed a trainee physical fitness assessment parameter model;the trainee physical fitness state assessment module established an evaluation model based on machine learning to realize stage-by-stage physical fitness evaluation for airborne soldiers;the physical fitness training program recommendation module was constructed based on the physical training feature similarity algorithm and graph embedding theory to provide decision making assistance for program development of airborne military physical training;the airborne soldier physical fitness training program evaluation module compared the physical fitness and evaluation results before and after training by means of list and chart,and updated the training program based on the evaluation results by calling the physical training program recommendation module.Results The intelligent airborne soldier physical training system contributed to forming an individualized physical fitness training recommendation mechanism after trainee body evaluation,modifying training program based on comparison and feedback for stage-by-stage training evaluation,so as to decrease the incidence of military training-related injuries while increasing the training efficiency.Conclusion The system developed improves airborne soldier physical training in rationality and reliability,and provides references for intelligent military training of the PLA.[Chinese Medical Equipment Journal,2025,46(2):16-23]

Objective:To investigate the correlation between thyroid function and the total cerebral small vessel disease score in the elderly.Methods:This cross-sectional study included elderly people who underwent physical examinations at the Geriatrics Department of Beijing Hospital from April 2019 to December 2020. Participants were devided into 5 groups based on the total score of cerebral small vessel disease: 0, 1, 2, 3, and 4. General clinical data were collected through physical examination reports and outpatient medical records. All participants underwent a 3T brain magnetic resonance imaging (MRI), scan and data were collected to calculate the total cerebral small vessel disease score. Fasting venous blood samples were taken in the morning to measure thyroid hormone levels. Relationships between thyroid hormone levels and lacunar infarcts, microbleeds, white matter hyperintensities (WMH), enlarged perivascular spaces, and total cerebral small vessel disease score were analyzed using Spearman correlation. Multivariate ordinal logistic regression was also used to analyze factors associated with total cerebral small vessel disease score.Results:A total of 545 elderly individuals were included, with a mean age of (75.16±9.18) years, and 505 (92.7%) were male. The number of subjects with a total cerebral small vessel disease score of 0 were 207 (38.0%), 1 were 182 (33.4%), 2 were 99 (18.2%), 3 were 41 (7.5%), and 4 were 16 (2.9%). Statistical significant differences were found in age, fasting blood glucose, systolic blood pressure, triiodothyronine (TT3), free triiodothyronine (FT3), and the proportion of hypertensive patients among the groups (all P<0.05). Spearman correlation analysis showed that TT3 ( r=-0.138, P=0.001) and FT3 ( r=-0.213, P<0.001) were negatively correlated with total cerebral small vessel disease score. Multivariate ordinal logistic regression analysis revealed that age was independently and positively associated with total cerebral small vessel disease score ( OR=1.139, 95% CI: 1.087-1.193, P<0.001), while FT3 was independently and negatively associated with total cerebral small vessel disease score ( OR=0.331, 95% CI: 0.118-0.929, P=0.009). Conclusion:In the elderly population, FT3 levels are independently and negatively associated with total cerebral small vessel disease score.

Functional dyspepsia (FD), characterized by persistent or recurrent dyspeptic symptoms without identifiable organic, systemic or metabolic causes, is an increasingly recognized global health issue. The objective of this guideline is to equip clinicians and nursing professionals with evidence-based strategies for the management and treatment of adult patients with FD using traditional Chinese medicine (TCM). The Guideline Development Group consulted existing TCM consensus documents on FD and convened a panel of 35 clinicians to generate initial clinical queries. To address these queries, a systematic literature search was conducted across PubMed, EMBASE, the Cochrane Library, China National Knowledge Infrastructure (CNKI), VIP Database, China Biology Medicine (SinoMed) Database, Wanfang Database, Traditional Medicine Research Data Expanded (TMRDE), and the Traditional Chinese Medical Literature Analysis and Retrieval System (TCMLARS). The evidence from the literature was critically appraised using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach. The strength of the recommendations was ascertained through a consensus-building process involving TCM and allopathic medicine experts, methodologists, pharmacologists, nursing specialists, and health economists, leveraging their collective expertise and empirical knowledge. The guideline comprises a total of 43 evidence-informed recommendations that span a range of clinical aspects, including the pathogenesis according to TCM, diagnostic approaches, therapeutic interventions, efficacy assessments, and prognostic considerations. Please cite this article as: Zhang SS, Zhao LQ, Hou XH, Bian ZX, Zheng JH, Tian HH, Yang GH, Hong WS, He YY, Liu L, Shen H, Li YP, Xie S, Shu J, Zeng BF, Li JX, Liu Z, Xiao ZH, Xiao JD, Zheng PY, Huang SG, Chen SL, Fei GJ. International clinical practice guideline on the use of traditional Chinese medicine for functional dyspepsia (2025). J Integr Med. 2025; 23(5):502-518.
Dyspepsia/drug therapy* ; Humans ; Medicine, Chinese Traditional/methods* ; Practice Guidelines as Topic ; Drugs, Chinese Herbal/therapeutic use*

The quality of traditional Chinese medicine(TCM) is a critical foundation for ensuring the stability of its efficacy, as well as the safety and effectiveness of its clinical use. The identification of critical quality attributes(CQAs) is one of the core components of TCM preparation quality control. This study focuses on Jianwei Xiaoshi Tablets and explores their CQAs related to property and flavor from the perspective of taste receptor proteins. Three taste receptor proteins, T1R2, T1R3, and TRPV1, were selected, and a biosensor based on high-electron-mobility transistor(HEMT) was constructed to detect the interactions between Jianwei Xiaoshi Tablets and taste receptor proteins. Simultaneously, liquid chromatography-mass spectrometry(LC-MS) technology was used to analyze the chemical composition of Jianwei Xiaoshi Tablets. In examining the interaction strength, the results indicated that the interaction between Jianwei Xiaoshi Tablets and TRPV1 protein was the strongest, followed by T1R3, with the interaction with T1R2 being relatively weaker. By combining biosensing technology with LC-MS, 16 chemical components were identified from Jianwei Xiaoshi Tablets, among which six were selected as CQAs for sweetness and seven for pungency. Further validation experiments demonstrated that CQAs such as hesperidin and hesperetin had strong interactions with their corresponding taste receptor proteins. Through the combined use of multiple technological approaches, this study successfully determined the property and flavor-related CQAs of Jianwei Xiaoshi Tablets. It provides novel ideas and approach for the identification of CQAs in TCM preparations and offers comprehensive theoretical support for TCM quality control, contributing to the improvement and development of TCM preparation quality control systems.
Drugs, Chinese Herbal/chemistry* ; Biosensing Techniques/methods* ; TRPV Cation Channels/chemistry* ; Tablets/chemistry* ; Receptors, G-Protein-Coupled/genetics* ; Quality Control ; Taste ; Humans ; Mass Spectrometry

Objective To explore the effect of mangiferin(MF)on pyroptosis in an amyotrophic lateral sclerosis(ALS)cell model by regulating the nuclear factor erythroid 2-related factor 2/heme oxygenase-1(Nrf2/HO-1)signaling pathway.Methods(1)Mouse NSC-34 cell lines transfected with hSOD1WT and hSOD1G93A plasmids were randomly divided into blank group,model group,MF(100 μmol/L)group,MF(200 μmol/L)group.MF was added into the culture plate for 24 hours.Cell viability was assessed using CCK-8 kit.Lactate dehydrogenase(LDH)release was measured using LDH cytotoxicity detection kit.Levels of inflammatory factors interleukin(IL)-1β and IL-18 in cell supernatant were determined by enzyme-linked immunosorbent assay(ELISA).The expression of Nrf2,HO-1,NADPH quinone oxidoreductase-1(NQO-1),NOD-like receptor protein 3(NLRP3),gasdermin D(GSDMD)-N and caspase-1 was detected by Western blotting.(2)Mouse hSOD1G93A NSC-34 cells were randomly divided into model group,MF(200 μmol/L)group,Nrf2-siRNA group and Nrf2-siRNA+MF(200 μmol/L)group.The cells were transiently transfected with Nrf2-siRNA using LipofectamineTM 3000.Western blotting was used to detect the protein expression levels of Nrf2,HO-1,NQO-1,NLRP3,caspase-1 and GSDMD-N.Results(1)The results of the CCK-8 assay showed that after the hSOD1G93A NSC-34 cells were treated with MF at concentrations of 300 μmol/L and below for 24 hours,the changes in cell viability were not significant(P>0.05).Compared with blank group,the release of LDH,the contents of IL-1β and IL-18 in the cell culture supernatant of model group were increased(P<0.001);the protein expression levels of Nrf2,HO-1,and NQO-1 were decreased(P<0.05 or P<0.01);the protein expression levels of NLRP3,caspase-1,and GSDMD-N were increased(P<0.05 or P<0.01 or P<0.001).Compared with model group,the release of LDH,the contents of IL-18 and IL-1β in the culture supernatant in MF(100 μmol/L)and MF(200 μmol/L)groups were decreased(P<0.001);the protein expression levels of NLRP3,caspase-1 and GSDMD-N were decreased(P<0.05 or P<0.001),and the expression levels of Nrf2,HO-1 and NQO-1 were increased(P<0.05 or P<0.01).(2)Compared with model group,the protein expession levels of Nrf2,NO-1 and NQO-1 were increased(P<0.05 or P<0.001)in MF(200 μmol/L)group,while the protein expression levels of NLRP3,caspase-1 and GSDMD-N were decreased(P<0.001);the protein expression levels of Nrf2 and HO-1 were decreased in Nrf2-siRNA group(P<0.01 or P<0.001),while the protein expression levels of NLRP3,caspase-1 and GSDMD-N were increased(P<0.001).Compared with Nrf2-siRNA group,the protein expression levels of Nrf2,HO-1 and NQO-1 in Nrf2-siRNA+MF(200 μmol/L)group were increased(P<0.01 or P<0.001),and the protein expression levels of NLRP3,caspase-1 and GSDMD-N were decreased(P<0.001).Conclusion MF can inhibit pyroptosis in the ALS cell model through Nrf2/HO-1 signaling pathway,playing a protective role.

Objective:To establish a rapid and accurate duplex real-time fluorescent reverse transcription-recombinase polymerase amplification/recombinase-aided amplification（RT-RPA/RAA）detection method for identification and differentiation of Nipah virus（NiV），Langya virus（LayV），Mojiang virus（MoJV），and Cedar virus（CedV）.Methods:First，specific primers and probes were designed targeting the conserved L gene regions of NiV and LayV，as well as the conserved N gene regions of MoJV and CedV，respectively. The four viruses were divided into two groups for duplex detection. Subsequently，the optimal primer and probe combinations were screened by comparing the amplification efficiency of different primer pair combinations（F1/R1，F1/R2，F2/R1，F2/R2）. The reaction temperature was optimized through temperature gradient settings from 37 ℃ to 42 ℃，and the amounts of primers and probes were optimized to establish the duplex real-time fluorescent RT-RPA/RAA detection system. Finally，the detection performance was evaluated through specificity，sensitivity，and stability tests，as well as clinical sample validation.Results:The selected primer pairs（NiV primer pair F2/R1，LayV primer pair F1/R1，MoJV primer pair F2/R2，and CedV primer pair F2/R2）all demonstrated optimal amplification efficiency when combined with their corresponding probes. The optimal annealing temperature was 39 ℃，and the minimum detection limit was 101-102 copies/μl. The method could effectively distinguish target viruses from other non-target viruses，and repeated experiments showed good stability（ R2> 0.90）. Additionally，detection results for Malaysian NiV strains and various clinical samples were consistent with the Taqman multiplex qRT-PCR method. Conclusion:The duplex real-time fluorescent RT-RPA/RAA detection method successfully established in this study can rapidly and accurately identify and differentiate four important henipavirus-like viruses：NiV，LayV，MoJV，and CedV. It features simple operation，rapid reaction，high specificity，and good stability，providing an effective molecular detection tool for rapid field diagnosis，surveillance，and control of these zoonotic viruses.

Objective To design an intelligent airborne soldier physical training system based on human body composition analysis to solve the problems in diversity of training mode,targeted training plan and high incidence of military training-related injuries.Methods The intelligent airborne military physical training system was designed with B/S architecture and developed with Python language,which was composed of four functional modules for airborne soldier information acquisition,trainee physical fitness state assessment,physical fitness training program recommendation and airborne soldier physical fitness training program evaluation.The airborne soldier information acquisition module collected and analyzed the trainee physiological parameter information with a human body composition analyzer,clarified the parameter characteristics related to physical training with considerations on military physical training requirements and constructed a trainee physical fitness assessment parameter model;the trainee physical fitness state assessment module established an evaluation model based on machine learning to realize stage-by-stage physical fitness evaluation for airborne soldiers;the physical fitness training program recommendation module was constructed based on the physical training feature similarity algorithm and graph embedding theory to provide decision making assistance for program development of airborne military physical training;the airborne soldier physical fitness training program evaluation module compared the physical fitness and evaluation results before and after training by means of list and chart,and updated the training program based on the evaluation results by calling the physical training program recommendation module.Results The intelligent airborne soldier physical training system contributed to forming an individualized physical fitness training recommendation mechanism after trainee body evaluation,modifying training program based on comparison and feedback for stage-by-stage training evaluation,so as to decrease the incidence of military training-related injuries while increasing the training efficiency.Conclusion The system developed improves airborne soldier physical training in rationality and reliability,and provides references for intelligent military training of the PLA.[Chinese Medical Equipment Journal,2025,46(2):16-23]

Objective:To investigate the correlation between thyroid function and the total cerebral small vessel disease score in the elderly.Methods:This cross-sectional study included elderly people who underwent physical examinations at the Geriatrics Department of Beijing Hospital from April 2019 to December 2020. Participants were devided into 5 groups based on the total score of cerebral small vessel disease: 0, 1, 2, 3, and 4. General clinical data were collected through physical examination reports and outpatient medical records. All participants underwent a 3T brain magnetic resonance imaging (MRI), scan and data were collected to calculate the total cerebral small vessel disease score. Fasting venous blood samples were taken in the morning to measure thyroid hormone levels. Relationships between thyroid hormone levels and lacunar infarcts, microbleeds, white matter hyperintensities (WMH), enlarged perivascular spaces, and total cerebral small vessel disease score were analyzed using Spearman correlation. Multivariate ordinal logistic regression was also used to analyze factors associated with total cerebral small vessel disease score.Results:A total of 545 elderly individuals were included, with a mean age of (75.16±9.18) years, and 505 (92.7%) were male. The number of subjects with a total cerebral small vessel disease score of 0 were 207 (38.0%), 1 were 182 (33.4%), 2 were 99 (18.2%), 3 were 41 (7.5%), and 4 were 16 (2.9%). Statistical significant differences were found in age, fasting blood glucose, systolic blood pressure, triiodothyronine (TT3), free triiodothyronine (FT3), and the proportion of hypertensive patients among the groups (all P<0.05). Spearman correlation analysis showed that TT3 ( r=-0.138, P=0.001) and FT3 ( r=-0.213, P<0.001) were negatively correlated with total cerebral small vessel disease score. Multivariate ordinal logistic regression analysis revealed that age was independently and positively associated with total cerebral small vessel disease score ( OR=1.139, 95% CI: 1.087-1.193, P<0.001), while FT3 was independently and negatively associated with total cerebral small vessel disease score ( OR=0.331, 95% CI: 0.118-0.929, P=0.009). Conclusion:In the elderly population, FT3 levels are independently and negatively associated with total cerebral small vessel disease score.

Objective:To establish a rapid and accurate duplex real-time fluorescent reverse transcription-recombinase polymerase amplification/recombinase-aided amplification（RT-RPA/RAA）detection method for identification and differentiation of Nipah virus（NiV），Langya virus（LayV），Mojiang virus（MoJV），and Cedar virus（CedV）.Methods:First，specific primers and probes were designed targeting the conserved L gene regions of NiV and LayV，as well as the conserved N gene regions of MoJV and CedV，respectively. The four viruses were divided into two groups for duplex detection. Subsequently，the optimal primer and probe combinations were screened by comparing the amplification efficiency of different primer pair combinations（F1/R1，F1/R2，F2/R1，F2/R2）. The reaction temperature was optimized through temperature gradient settings from 37 ℃ to 42 ℃，and the amounts of primers and probes were optimized to establish the duplex real-time fluorescent RT-RPA/RAA detection system. Finally，the detection performance was evaluated through specificity，sensitivity，and stability tests，as well as clinical sample validation.Results:The selected primer pairs（NiV primer pair F2/R1，LayV primer pair F1/R1，MoJV primer pair F2/R2，and CedV primer pair F2/R2）all demonstrated optimal amplification efficiency when combined with their corresponding probes. The optimal annealing temperature was 39 ℃，and the minimum detection limit was 101-102 copies/μl. The method could effectively distinguish target viruses from other non-target viruses，and repeated experiments showed good stability（ R2> 0.90）. Additionally，detection results for Malaysian NiV strains and various clinical samples were consistent with the Taqman multiplex qRT-PCR method. Conclusion:The duplex real-time fluorescent RT-RPA/RAA detection method successfully established in this study can rapidly and accurately identify and differentiate four important henipavirus-like viruses：NiV，LayV，MoJV，and CedV. It features simple operation，rapid reaction，high specificity，and good stability，providing an effective molecular detection tool for rapid field diagnosis，surveillance，and control of these zoonotic viruses.

Objective To propose a Q factor-based fatigue vibration evaluation method of the ultrasonic knife tip.Methods Firstly,an ultrasonic cutter fatigue testing table was established to realize repeated cutting,which was composed of a power supply module,a three-axis moving module,an ultrasonic cutter clamping module and a control module.Secondly,10 ultrasonic knives of some brand underwent fatigue testing with the table,during which non-contact measurement of the ultrasonic knife tip vibration was carried out and the Q factors were calculated at the five periods of the fatigue test,including the periods before cutting,after 500 times of cutting,after 1 000 times of cutting,after 2 000 times of cutting and after 3 000 times of cutting.Finally,the average cutting speed and burst pressure for coagulated vessels were computed at each period to validata the effectiveness of the method proposed.Results It's indicated that Q factor could effectively reflect the fatigue degradation of the ultrasonic knife tip,while the average cutting speed and burst pressure for coagulated vessels were difficult to efficiently evaluate the fatigue degradation level of the ultrasonic knife tip due to the uncertainty factors in the measurement process.Conclusion The proposed Q factor-based evaluation method can directly evaluate fatigue vibration of the ultrasonic knife tip in an accurate and quantitative manner.[Chinese Medical Equipment Journal,2024,45(6):17-22]