Cartilage degeneration stands as the main pathological hallmark of joint diseases such as osteoarthritis(OA),characterized by the degradation of cartilage matrix,abnormal cell function,and disruption of structural integrity.This series of changes poses a severe threat to patients' quality of life.The significant impact of mechanical stimuli on cartilage health and function has long been widely acknowledged,and research on its underlying mechanisms has become relatively systematic and in-depth.However,the specific pathways in which mechanical stimuli affect cartilage,as well as the hidden laws and intrinsic mechanisms behind them,are still in the process of continuous exploration,gradual revelation,and ongoing refinement.This article reviews the research progress in the field of mechanical stimuli and articular cartilage in 2024,indicating that it demonstrated characteristics of greater diversity in research subjects,broader perspectives,and more innovative techniques,further expanding our understanding of the role of mechanical factors in cartilage degeneration.The mechanical regulation-based therapeutic strategies are also explored,such as exercise therapy,biomechanical correction,chemical drug therapy,acupotomy therapy,and tissue engineering,providing theoretical foundations and practical directions for the prevention and treatment of degenerative joint diseases.Future research should concentrate on the integration of multi-scale and multi-perspective mechanisms as well as clinical translation to promote the application of precision medicine in the field of cartilage degeneration.

A ketogenic diet(KD)refers to an eating pattern designed to achieve a low-calorie content,minimum carbohydrate intake,high-fat consumption,and standard protein levels.A ketogenic diet is used in clinical practice to treat conditions including heart disease,diabetes,obesity,autism,glioblastoma,and other cancers.Although a ketogenic diet has not been recommended for any neurological disorders except epilepsy,extensive recent research suggests that such a diet may have a neuroprotective effect and may thus represent a new dietary therapy for the treatment of Parkinson's disease(PD).In this review,we discuss in detail the mechanisms responsible for the neuroprotective effects of a ketogenic diet in Parkinson's disease,with the aim of providing references for future clinical and experimental studies.

Objective:To explore the differential diagnostic value of three gastric function indicators and Helicobacter pylori ( Hp) antibody combined detection in early gastric cancer and precancerous lesions. Methods:A total of 103 patients with gastric cancer (gastric cancer group), 103 patients with precancerous lesions (precancerous lesion group) and 103 healthy physical examination subjects (healthy group) admitted to the Emergency Management Department Emergency General Hospital from December 2020 to December 2022 were retrospectively selected as the study objects. Three gastric function tests and 14C breath test were performed in all three groups. The levels of three gastric function indicators and Hp antibody were compared among the three groups. According to the results of 14C breath test, gastric cancer patients were divided into the positive group and the negative group, and the levels of the three gastric function indicators were compared between the two groups. Results:The serum levels of pepsinogen Ⅱ (PGⅡ) and gastrin 17 (G-17) in the gastric cancer group were higher than those in the precancerous lesion group and healthy group: (18.32 ± 4.72) μg/L vs. (13.83 ± 3.63), (11.56 ± 3.47) μg/L; (74.82 ± 8.89) μg/L vs. (61.07 ± 7.51), (49.14 ± 5.29) μg/L; the levels of pepsinogen Ⅰ (PGⅠ) and pepsinogen ratio (PGR, PGⅠ/ PGⅡ) were lower than those in the precancerous lesion group and healthy group: (35.83 ± 5.93) μg/L vs. (73.05 ± 7.23), (86.27 ± 8.48) μg/L; 1.96 ± 0.54 vs. 5.28 ± 1.00, 7.46 ± 1.02, there were statistical differences ( P<0.05). The positive rates of Hp antibody in gastric cancer group, precancerous lesion group and healthy group were 65.05% (67/103), 33.01%(34/103) and 11.65% (12/103), respectively, there was a statistically significant difference in the positive rates of Hp antibody among the three groups ( χ2 = 64.15, P<0.05). The positive rate of Hp antibody was the highest in gastric cancer group, followed by precancer group, and the lowest in healthy group.The levels of PGⅠand PGR in patients with positive 14C breath test in the gastric cancer group were lower than those with negative results: (25.79 ± 3.63) μg/L vs. (41.82 ± 4.71) μg/L, 1.28 ± 0.42 vs. 2.40 ± 0.56, while the levels of PGⅡ and G-17 were higher than those with negative results: (20.35 ± 3.59) μg/L vs. (17.46 ± 3.52) μg/L, (83.72 ± 10.84) μg/L vs. (65.07 ± 7.76) μg/L, there were statistical differences ( P<0.05). Conclusions:The combined detection of gastric function and Hp antibody can serve as important screening indicator for evaluating gastric cancer and precancerous lesions.

Objective To provide methodological examples for related research,the influencing factors of the evolution of Qi deficiency syndrome in chronic obstructive pulmonary disease(COPD)based on a nonlinear mixed effects model was explored.Methods A research questionnaire on the influencing factors of the evolution of Qi deficiency syndrome in chronic obstructive pulmonary disease was developed,and clinical data of 650 COPD patients on the 1st and 14th day of acute exacerbation,the 1st and 28th day of risk window,the first day of stable period,and the 90th day were dynamically collected from 10 tertiary hospitals across the country.8 baseline data including gender and age were collected through the PROC NLMIXED process by SAS 9.4 software.Coronary heart disease,diabetes and hypertension accounted for the highest proportion.Nine concurrent syndromes including wind cold syndrome and phlegm heat syndrome were used as fixed effects,and individual level was used as random effects to gradually fit the model and screen the influencing factors of Qi deficiency syndrome in the entire process of disease occurrence and development.Results A total of 637 eligible cases were included,and clinical datas were dynamically collected on the 1st and 14th day of acute exacerbation,the 1st and 28th day of the risk window,the 1st and 90th day of the stable period.It was found that the number of acute exacerbations,alcohol consumption,concomitant hypertension,coronary heart disease,blood stasis syndrome,yin deficiency syndrome,yang deficiency syndrome,6-minute walking distance,and the modified Medical Research Council Dyspnea Questionnaire(mMRC)had an impact on the evolution of Qi deficiency syndrome in the previous year(P<0.05).Conclusion The use of a nonlinear mixed effects model revealed the relevant factors affecting the evolution of Qi deficiency syndrome from complex multi temporal dynamic data,providing methodological references for other related studies.

Objective:To explore the effect of different swallowing tasks on cortex activation and functional connectivity in stroke survivors with dysphagia using functional near-infrared spectroscopy (fNIRS).Methods:Thirty stroke survivors with dysphagia performed three different swallowing tasks: swallowing action observation (SO), swallowing action execution (SE), and swallowing action imagination (SI). During each task, fNIRS was used to document the brain concentrations of oxyhemoglobin and deoxyhemoglobin. Cortex activation (β value) and brain functional connectivity were assessed.Results:Compared with the resting state, the areas activated during the SO task included the left primary sensory cortex and the right prefrontal cortex. During the SE and SI tasks the left prefrontal cortex and the left motor cortex were activated as well. Compared with hemorrhagic stroke survivors, ischemic stroke survivors showed significantly greater activation of the right primary sensory cortex, the right motor cortex, and the left primary sensory cortex during the SE task. Functional connectivity during the SO, SE and SI tasks was significantly greater than in the resting state, with the average connectivity values during the SE task significantly higher than during the SI task.Conclusions:Stroke survivors with dysphagia exhibit increased activation in the prefrontal cortex and primary sensory cortex during different swallowing tasks. Such tasks can improve their brain functional connectivity.

Objective To evaluate the impact of integrated medical and nursing care teaching ward rounds on the theo-retical knowledge learning and clinical operational skill training of primary-level medical staff.Methods A total of 90 clinical healthcare workers(39 physicians and 51 nurses)from our hospital between May and December2024 were randomly assigned to either a control group or an intervention group.The control group participated in traditional three-tier nursing teaching ward rounds,while the intervention group underwent integrated medical and nursing care teaching ward rounds.The two groups were compared in terms of improvements in theoretical knowledge,ward round operational skills,and core clinical competencies.Re-sults Both groups demonstrated improvements in theoretical knowledge and ward round operational skills after the intervention,with the intervention group showing significantly greater gains(P＜0.05).Additionally,scores related to physical fitness,emo-tional well-being,and cognitive function improved in both groups,with significantly higher improvements in the intervention group(P＜0.05).The Clinical Nursing Skills(CINS)scores—including judgment,early warning,anticipatory thinking,and overall clinical competence—also improved significantly in the intervention group compared to the control group(P＜0.05).Conclu-sion Integrated medical and nursing care teaching ward rounds significantly enhance theoretical knowledge,operational profi-ciency,and core clinical competencies among primary healthcare providers.This model fosters higher professional engagement and helps cultivate qualified primary-level medical personnel who are better equipped to meet real-world clinical demands.

Objective To investigate the expression level of centromere protein(CENP)Ⅰin lung adenocarcinoma cells,to study the effects of CENPⅠon the proliferation,invasion,migration,apoptosis,and epithelial-mesenchymal transition(EMT)of lung adenocarci-noma cells,and to explore the possible mechanisms related to its occurrence.Methods The expression of CENPⅠmRNA and protein in four types of lung adenocarcinoma cells and normal alveolar epithelial cells were detected by quantitative real-time polymerase chain reaction(RT-qPCR)and Western blotting.The expression of CENPⅠin H1650 cells was knocked down by the siRNA technique,The transfection efficiency was detected by RT-qPCR and Western blotting.The effects of knock-down CENPⅠon proliferation,cell cycle,apoptosis,invasion and migration of H1650 cells were detected by the cell counting kit-8 assay,the transwell assay,and flow cytometry.Western blotting was used to detect the expression of E-cadherin,N-cadherin,vimentin,Ki-67,cyclin D1,Bcl-2,PI3K,AKT,mTOR,p-PI3K,p-AKT,and p-mTOR.Results After the knock-down of CENPⅠ,the proliferative ability of the H1650 cells significantly decreased,the number of apoptotic cells significantly decreased,and the cell invasion and migration abilities significantly decreased(P<0.01).E-cadherin expression was upregulated and N-cadherin,vimentin,Ki-67,cyclin D1,Bcl-2,p-PI3K,p-AKT,and p-mTOR expres-sion were down-regulated in the CENTI group compared with the control group(P<0.05).The expression of p-PI3K,p-AKT,and p-mTOR in the si-CENPⅠ+IGF-1 group was upregulated compared to that in the si-CENPⅠgroup(P<0.05).Conclusion High expression of CENPⅠin lung adenocarcinoma cells promotes the proliferation,invasion,and migration of lung adenocarcinoma H1650 cells and EMT inhibits apoptosis,which may be related to the activation of the PI3K/AKT/mTOR signaling pathway.

Cartilage degeneration stands as the main pathological hallmark of joint diseases such as osteoarthritis(OA),characterized by the degradation of cartilage matrix,abnormal cell function,and disruption of structural integrity.This series of changes poses a severe threat to patients' quality of life.The significant impact of mechanical stimuli on cartilage health and function has long been widely acknowledged,and research on its underlying mechanisms has become relatively systematic and in-depth.However,the specific pathways in which mechanical stimuli affect cartilage,as well as the hidden laws and intrinsic mechanisms behind them,are still in the process of continuous exploration,gradual revelation,and ongoing refinement.This article reviews the research progress in the field of mechanical stimuli and articular cartilage in 2024,indicating that it demonstrated characteristics of greater diversity in research subjects,broader perspectives,and more innovative techniques,further expanding our understanding of the role of mechanical factors in cartilage degeneration.The mechanical regulation-based therapeutic strategies are also explored,such as exercise therapy,biomechanical correction,chemical drug therapy,acupotomy therapy,and tissue engineering,providing theoretical foundations and practical directions for the prevention and treatment of degenerative joint diseases.Future research should concentrate on the integration of multi-scale and multi-perspective mechanisms as well as clinical translation to promote the application of precision medicine in the field of cartilage degeneration.

Objective:To explore the effect of different swallowing tasks on cortex activation and functional connectivity in stroke survivors with dysphagia using functional near-infrared spectroscopy (fNIRS).Methods:Thirty stroke survivors with dysphagia performed three different swallowing tasks: swallowing action observation (SO), swallowing action execution (SE), and swallowing action imagination (SI). During each task, fNIRS was used to document the brain concentrations of oxyhemoglobin and deoxyhemoglobin. Cortex activation (β value) and brain functional connectivity were assessed.Results:Compared with the resting state, the areas activated during the SO task included the left primary sensory cortex and the right prefrontal cortex. During the SE and SI tasks the left prefrontal cortex and the left motor cortex were activated as well. Compared with hemorrhagic stroke survivors, ischemic stroke survivors showed significantly greater activation of the right primary sensory cortex, the right motor cortex, and the left primary sensory cortex during the SE task. Functional connectivity during the SO, SE and SI tasks was significantly greater than in the resting state, with the average connectivity values during the SE task significantly higher than during the SI task.Conclusions:Stroke survivors with dysphagia exhibit increased activation in the prefrontal cortex and primary sensory cortex during different swallowing tasks. Such tasks can improve their brain functional connectivity.

Objective:To construct a diagnostic prediction model for childhood asthma and conduct a preliminary evaluation based on the test results of specific IgE (sIgE) for airborne allergens and in combination with clinical data.Methods:This study is a case-control study. A total of 4 338 cases that completed the sIgE test for airborne allergens in the Allergy Department of Beijing Children′s Hospital Affiliated to Capital Medical University from January to December 2023 were selected as the research subjects. They were divided into the asthma group and the non-asthma group based on the diagnostic information. Age, gender, cough and wheezing symptoms, and the classification results of sIgE concentrations of 15 airborne allergens were collected as the predictor variables of the asthma diagnostic prediction model. Differential analysis and LASSO regression were employed for the screening of predictor variables. The multivariate logistic regression method was applied to construct the nomogram prediction model. The data set was randomly split at a ratio of 7∶3 into a training set (3 036 cases) for constructing the prediction model and a validation set (1 302 cases) for testing the predictive efficacy of the model. The area under the receiver operating characteristic (ROC) curve (AUC), the Hosmer-Lemeshow calibration curve were utilized to assess the discrimination and goodness of fit of the model, and the clinical decision curve (DCA) was adopted to evaluate the clinical application value of the model.Results:Among 4 338 pediatric cases, children aged 0 to <3 years accounted for 10.17% (441 cases), those aged 3 to <6 years accounted for 36.49% (1 583 cases), those aged 6 to <12 years accounted for 46.98% (2 038 cases), and those aged 12 to 18 years accounted for 6.36% (276 cases). Males constituted 65.17% (2 827 cases), and females 34.83% (1 511 cases). The proportion of children without wheezing symptoms was 41.47% (1 799 cases), while those with wheezing symptoms was 58.53% (2 539 cases). The asthma group accounted for 41.77% (1 812 cases), and the non-asthma group for 58.23% (2 526 cases). Statistically significant differences were observed between the asthma group and the non-asthma group in 18 predictive variables including age, gender, wheezing symptoms, d1, d2, e1, e5, g2, g6, m6, t11, t3, t6, w1, w22, w6, wx5, and m3 ( P<0.05). LASSO regression analysis identified six predictor variables: age (calculated in months), cough and wheezing symptoms, and sIgE of four airborne allergens, namely, Dermatophagoides pteronyssinus (d1), Canis familiaris dander (e5), Aspergillus fumigatus (m3), and Artemisia vulgaris pollen (w6).Multifactorial regression analysis revealed that the contribution degrees of the above-mentioned predictor variables to the asthma diagnosis prediction model were ranked as follows: cough and wheezing symptoms ( OR=24.37, P<0.001), m3 ( OR=1.34, P<0.001), d1 ( OR=1.22, P<0.001), e5 ( OR=1.12, P=0.028), w6 ( OR=1.11, P<0.001), and age ( OR=1.01, P<0.001).The AUCs of the nomogram prediction model for the training set and the validation set were 0.853 (95% CI: 0.840-0.866) and 0.838 (95% CI: 0.817-0.860), respectively. The Hosmer-Lemeshow calibration curve indicated a good fit ( P=0.215 for the training set; P=0.352 for the validation set). The DCA of the validation set demonstrated that when the probability threshold for predicting the occurrence of childhood asthma was 8%-92%, the model had the best applicability. Conclusion:By combining age, cough and wheezing symptoms, and sIgE of the four airborne allergens (d1, e5, m3, and w6) selected from 15 airborne allergens, a childhood asthma diagnosis prediction model with good predictive performance and clinical practicability was constructed. It can serve as a simple and convenient tool for accurately identifying asthma and provides a practical basis for the application of artificial intelligence big data analysis models in the prevention, treatment, and management of childhood asthma.