Despite breakthroughs in immunotherapy for solid tumors, significant variations in treatment efficacy persist. Up to 80% of cancer patients suffer from malnutrition, which leads to: lymphoid atrophy and reduced T-cell reserves; deficiency of substrates required for T-cell activation and expansion; concurrent inflammation hindering T-cell infiltration into tumors; and cachexia accelerating PD-1 antibody clearance. Clinical studies confirm that severe malnutrition significantly impairs immune responses and increases the risk of treatment toxicity. Therefore, implementing standardized nutritional therapy is crucial for optimizing the reserve, activation, expansion, and infiltration capacity of immune cells, thereby providing a sound immune system foundation for immunotherapy. Immunonutrition therapy, by enhancing immunonutrients such as arginine, omega-3 polyunsaturated fatty acids, and nucleotides, reduces the secretion of pro-inflammatory mediators and promotes T-cell activation and proliferation. This enhances anti-tumor immune responses, prolongs survival, and advances cancer treatment towards multimodal combination and precision approaches.

Objective To explore the risk factors of painful diabetic neuropathy (PDN) in patients with type 2 diabetes mellitus (T2DM). Methods A total of 269 patients with type 2 diabetes mellitus (T2DM) who were treated in the Department of Endocrinology at Zhangjiagang Hospital Affiliated to Soochow University from January 2020 to December 2024 were selected. The patients were divided into two groups: T2DM without PDN (n=190) and T2DM with PDN (n=79). The general characteristics and biochemical indicators of the two groups of patients were compared. Multivariate logistic regression was used to analyze the associated factors with PDN in T2DM. The receiver operating characteristic (ROC) curve was used to evaluate fasting C-peptide (FC-P), body mass index (BMI), and disease duration to predict the risk of PDN. Results Compared with the T2DM group without concurrent PDN, the T2DM group with concurrent PDN had a longer disease course, lower BMI, higher HDL-C, lower FC-P, and a higher proportion of diabetic retinopathy. The differences between the two groups were statistically significant (P<0.05). The results of multivariate logistic regression analysis showed that BMI, duration, and FC-P were associated factors of PDN. Conclusion BMI, duration and FC-P are associated factors of painful neuropathy complicated with type 2 diabetes.

Objective: To analyze the compliance status of physical fitness indicator and lifestyle characteristics among secondary vocational school students, as well as their associations, so as to provide a reference for physical fitness promotion among secondary vocational school students. Methods: Using a convenience sampling method, a questionnaire survey and physical fitness tests were conducted from September to December 2024 among 5 141 secondary vocational school students recruited from 16 secondary vocational schools across 8 provinces/municipalities in China, including Fujian, Chongqing, Guangdong, Guangxi, Hubei, Jiangxi, Shanghai and Zhejiang. Data on lifestyle factors were collected using a self designed questionnaire combined with standardized scales, including dietary habits, unhealthy behaviors, and 24 hour behaviors (physical activity, screen time, and sleep behavior). Multivariable Logistic regression model was used to analyze the associations of individual lifestyle behaviors and clustering of unhealthy lifestyle behaviors with non-compliance in physical fitness indicators among secondary vocational school students. Results: The compliance rates for waist circumference, vital capacity, grip strength, standing long jump, 30 second sit ups, 20 meter shuttle run, 50 meter dash, sit and reach, 20 second side steps among secondary vocational school students were 55.9%, 89.6%, 81.8%, 79.4%, 77.8%, 61.4%, 87.0%, 12.6%, and 63.5%, respectively, with a non-overweight/obesity rate of 78.9%. The reporting rates of daily breakfast consumption, milk consumption, and vegetable consumption were 58.9%, 18.3%, and 37.5%, respectively. The reporting rates of frequent takeout consumption, frequent sugar sweetened beverage consumption, smoking, alcohol drinking, insufficient moderate to vigorous physical activity (MVPA), excessive screen time, and insufficient sleep were 30.0%, 43.8%, 8.4%, 15.8%, 42.9%, 90.8%, and 42.6%, respectively. Multivariable Logistic regression analysis showed that secondary vocational school students with insufficient MVPA had higher risks of non-compliance in vital capacity, grip strength, standing long jump, 30 second sit ups, 20 meter shuttle run, 50 meter dash, and 20 second side steps ( OR =1.22- 1.60 ); secondary vocational school students who consumed breakfast daily had lower risks of non-compliance in vital capacity and overweight/obesity ( OR =0.81, 0.85); daily vegetable consumption was associated with a lower risk of vital capacity non-compliance ( OR =0.72); frequent takeout consumption was associated with an increased risk of non-compliance in the sit and reach test ( OR =1.28); smoking was associated with increased risks of non-compliance in the 20 meter shuttle run and 20 second side steps ( OR =1.38, 1.58) (all P <0.05). Regarding the clustering of unhealthy behaviors, secondary vocational school students with 4- 5 clustered unhealthy behaviors had higher risks of non-compliance in waist circumference and standing long jump; those with≥6 clustered behaviors had higher risks of non-compliance in standing long jump, 20 meter shuttle run, and 20 second side step ( OR = 1.17-1.36, all P <0.05). Conclusions The clustering of unhealthy behaviors is negatively associated with physical fitness status among secondary vocational school students. Secondary vocational schools should prioritize the promotion of comprehensive lifestyle management to improve the physical fitness levels of secondary vocational school students.

Background As a pillar industry in China, the manufacturing sector has a high incidence of non-fatal occupational injuries. The factors influencing non-fatal occupational injuries in this industry are closely related at various levels, including individual, equipment, environment, and management, making the analysis of these influencing factors complex. Objective To identify influencing factors of non-fatal occupational injuries among manufacturing workers, providing a basis for targeted interventions and surveillance. Methods A total of 2243 frontline workers from cable and shipbuilding enterprises were selected as study subjects to investigate the incidence of non-fatal occupational injuries and collect information at four levels: individual, equipment, management, and environment in past 12 months. Data balancing was performed using resampling, and LASSO regression was used to select factors of non-fatal occupational injuries. The influence degree and type of variables were judged based on the magnitude of the estimated coefficients of each variable, where variables with estimated coefficients > 0 are risk factors, and those <0 are protective factors. The area under the receiver operating characteristic (ROC)curve (AUC) was used to test the performance of the model, with an AUC value > 0.7 indicating good model performance. Results Among the 2243 frontline workers, males accounted for 77.7% (1742 out of 2243), with the main age range being 40-49 years old, representing 29.5% (661 out of 2243), 82.7% of the workers (1854 out of 2243) were married, and 55.6% (1248 out of 2243) had a junior middle school education level. The average monthly income for 51.0% (1144 out of 2243) of the workers was between 5000 and 6999 Chinese Yuan. The incidence of non-fatal occupational injuries among the manufacturing workers was 8.4% (189/2243) in the past 12 months. Among the 22 factors associated with the occurrence of non-fatal occupational injuries (P<0.05), 10 were individual-level factors, including gender, smoking, alcohol consumption, colleague relationships, average exercise duration, job burnout, work fatigue, musculoskeletal disorders, cardiovascular diseases, and neurological and sensory organ diseases; 3 were equipment-level factors, including equipment operability, hazardous workpieces, and safety hazards; 5 were environmental-level factors, including low temperatures, special operations, noise, workspace size, and dirty and disorderly environment; and 4 were management-level factors, including daily working hours, weekly working days, overtime, and pre-job technical training. The AUC value of the LASSO regression model was 0.704 and the final model retained a total of 10 variables. Among them, there were 7 risk factors for non-fatal occupational injuries (coefficient > 0), including safety hazards, musculoskeletal disorders, dangerous workpieces, job burnout, dirty and disorderly environment, smoking, and male gender; and 3 protective factors (coefficient < 0), including pre-job technical training, good colleague relationship, and long working days per week. Conclusion Manufacturing enterprises need to focus on the incidence of non-fatal occupational injuries and conduct targeted interventions for non-fatal occupational injuries by controlling potential safety hazards, providing pre-job technical training, reducing dangerous workpieces, rectifying working environment, and reasonably arranging working hours.

Background Diseases severely affect the efficiency of workers. Comorbidity refers to the coexistence of two or more chronic diseases or health problems in the same individual. Previous studies have primarily focused on occupational injuries caused by environmental exposures, while the analysis of the epidemiological characteristics of self-reported diseases and occupational injuries among manufacturing workers has been insufficient. Objective To analyze the distribution of self-reported diseases and occupational injuries among manufacturing workers, the strength of correlation between different diseases, and common disease combinations, and to preliminarily explore the relationship between self-reported diseases and occupational injuries. Methods A cross-sectional survey was conducted to investigate the occupational injuries of 2382 workers in 2 manufacturing enterprises over the past year, and 2355 questionnaires were valid after cleaning. The questionnaire included three parts: basic information, occupational injury occurrence, and disease prevalence. The self-reported diseases diagnosed by physicians included musculoskeletal diseases, cardiovascular diseases, respiratory diseases, mental health problems, neurological and sensory organ diseases, digestive organ diseases, reproductive and urinary organ diseases, skin diseases, tumors, endocrine and metabolic system diseases, blood diseases and birth defects, a total of 11 types. Log-binomial model was used to calculate the prevalence ratio (PR) value of the association between different diseases, and UpSet diagram was used to present the disease combination pattern. Results In total, 40.2% (946/2355) of the study participants reported at least one disease, while 8.6% (203/2355), 5.2% (122/2355), and 5.9% (140/2355) reported having two, three, and four or more diseases, respectively. A higher prevalence was observed for musculoskeletal diseases, neurological and sensory organ diseases, digestive organ diseases, and skin diseases, which accounted for 18.0% (423/2355), 13.8% (324/2355), 9.3% (218/2355), and 9.1% (214/2355), respectively. Workers with musculoskeletal disorders, cardiovascular diseases, or neurological and sensory organ diseases reported significantly higher incidence of occupational injuries compared with workers without the corresponding diseases (P<0.001, P=0.041, and P=0.006, respectively). Musculoskeletal diseases were strongly associated with comorbidities of neurological and sensory organ diseases (PR values were 1.86 and 1.98, respectively), and the other patters were musculoskeletal diseases and digestive organ diseases (PR and OR values were 1.57 and 2.35, respectively), and musculoskeletal diseases and cardiovascular diseases (PR and OR values were 1.46 and 2.22, respectively). The largest binomial comorbidity group involved musculoskeletal diseases and neurological and sensory organ diseases, accounting for 5.4% (25/465) of the comorbid workers. Conclusion Among the self-reported diseases of manufacturing workers, musculoskeletal diseases, neurological and sensory organ diseases, digestive organ diseases, and skin diseases are more common. Musculoskeletal diseases and neurological and sensory organ diseases are the most common in all comorbidities. Musculoskeletal diseases, cardiovascular diseases, and neurological and sensory organ diseases are associated with occupational injuries. In the prevention and control of occupational injuries, joint prevention strategies targeting multiple diseases should be strengthened.

Objective:To observe and analyze the levels of vitamin D（VD） and their influencing factors in children undergoing adenoidectomy and/or tonsillectomy. Methods:A total of 147 children who received adenoidectomy and/or tonsillectomy in our hospital from November 2018 to March 2019 were selected as the experimental groups, gender and age matched 147 healthy children of the same period were selected as the control group. The differences of VD levels between the two groups were compared, the factors affecting VD levels were investigated, and patients with VD deficiency/insufficiency in the experimental groups were followed up postoperatively. Results:The VD levels of the experimental groups were（19.6±6.6） ng/mL and those of the control groups were （22.5±6.5）ng/mL, which was significantly different （P<0.01）. The experimental groups were divided into inflammation groups and Sleeping disorder breathing（SDB）groups. The VD levels of the two groups were （19.1±6.7）ng/mL and （21.9±6.4）ng/mL, which was significantly different （P<0.05）. Regression analysis showed that VD levels were negatively correlated with age, body mass index （BMI）, adenoid hypertrophy, tonsil hypertrophy and Anti-streptolysin O（ASO）levels （P<0.05）. VD values were remeasured one year postoperatively in 23 of 72 children in the VD deficiency/deficiency groups, and there was a statistically significant difference between preoperative and postoperative VD values[（14.3±3.9）ng/mL and （17.1±5.5） ng/mL, respectively, P<0.05]. There was a significant difference in postoperative VD value between the inflammation groups and the SDB groups[ （15.6±5.9） ng/mL and （20.5±2.1） ng/mL, respectively, P<0.05]. Conclusion:Children who underwent adenoidectomy and/or tonsillectomy had lower VD levels than healthy children.VD levels decreased with increasing age,BMI and ASO values,and associated with the size of adenoid and tonsil. Preoperative VD levels were lower in the inflammation groups, adenoidectomy and/or tonsillectomy improved VD deficiency/insufficiency status, and postoperative elevation of VD levels was more pronounced in the SDB groups.
Humans ; Tonsillectomy ; Adenoidectomy ; Vitamin D/blood* ; Vitamin D Deficiency ; Male ; Female ; Postoperative Period ; Child ; Case-Control Studies ; Child, Preschool

HDAC7, a member of class IIa HDACs, plays a pivotal regulatory role in tumor, immune, fibrosis, and angiogenesis, rendering it a potential therapeutic target. Nevertheless, due to the high similarity in the enzyme active sites of class IIa HDACs, inhibitors encounter challenges in discerning differences among them. Furthermore, the substitution of key residue in the active pocket of class IIa HDACs renders them pseudo-enzymes, leading to a limited impact of enzymatic inhibitors on their function. In this study, proteolysis targeting chimera (PROTAC) technology was employed to develop HDAC7 drugs. We developed an exceedingly selective HDAC7 PROTAC degrader B14 which showcased superior inhibitory effects on cell proliferation compared to TMP269 in various diffuse large B cell lymphoma (DLBCL) and acute myeloid leukemia (AML) cells. Subsequent investigations unveiled that B14 disrupts BCL6 forming a transcriptional inhibition complex by degrading HDAC7, thereby exerting proliferative inhibition in DLBCL. Our study broadened the understanding of the non-enzymatic functions of HDAC7 and underscored the importance of HDAC7 in the treatment of hematologic malignancies, particularly in DLBCL and AML.

Objective To explore the effect of transcutaneous auricular vagus nerve stimulation(taVNS)combined with dual-task training(DTT)on upper limb function recovery in patients with ischemic stroke.Methods From January to October,2024,60 ischemic stroke patients with upper limb dysfunction admitted to Zhejiang Rehabilitation Medical Center were selected and randomly divided into control group(n=30)and observation group(n=30).Both groups received conventional rehabilitation training.The control group underwent sham-taVNS combined with DTT,while the observation group received active taVNS combined with DTT,for four weeks.Before and after treatment,they were assessed with Fugl-Meyer Assessment-Upper Extremities(FMA-UE),Action Research Arm Test(ARAT),modified Barthel Index(MBI)and motor-evoked potential(MEP)tests.Results The FMA-UE scores,ARAT scores,MBI scores,MEP amplitude and MEP latency improved in both groups af-ter treatment(|t|>3.670,P<0.01),and were superior in the observation group than in the control group(|t|>3.081,P<0.01).Conclusion The combination of taVNS and DTT can significantly improve upper limb function,enhance activities of daily living,and promote neurological recovery in patients with ischemic stroke.

Histological staining is the basis of pathological analysis,but the traditional staining method relies on chemical reagents,which not only consumes a lot of resources,but also causes harm to the environment and human health.In recent years,with the rapid development of deep learning technology,virtual staining technology,as a new method,is expected to effectively replace and supplement the traditional histological staining methods.It uses neural networks to analyze unstained tissue images,generate digital images that are highly similar to chemical staining effects,and even realize the mutual conversion between different staining modes,reducing the laboratory's dependence on chemical reagents and providing sustainable research programs.In this paper,the basic principles of virtual staining and its potential applications in histopathology are introduced in detail,and the current challenges and future research directions are discussed.