Objective:To investigate the relationship between work fit, work stress, and occupational fatigue among medical staff, and to analyze the independent and interactive effects of work fit and work stress on occupational fatigue.Methods:A stratified random sampling method was employed to select 1162 employees from two top-tier hospitals as the research subjects. A questionnaire survey was conducted to collect information on basic demographics, work stress, work fit, and occupational fatigue. Chi-square test, analysis of variance, and logistic regression equations were used to evaluate the interactive effects of work fit and work stress on occupational fatigue.Results:This study included 1162 medical Homo sapiens personnel, among whom 884 were job-adapted and 362 were in a stressful state. Univariate logistic regression analysis showed that the risk of occupational fatigue significantly increased in the 40-49 age group ( OR=1.89) and the bachelor's degree group ( OR=2.52, P<0.01). Smoking and alcohol consumption were also associated with a significantly higher risk of occupational fatigue ( P<0.01). In terms of occupational characteristics, compared to clinical doctors, nurses and pharmaceutical/technical Homo sapiens personnel had lower risks ( OR=0.57, 0.43, P<0.05). Compared to high-ranking Homo sapiens personnel, those with no title or junior titles exhibited lower risks ( OR=0.51, 0.43, P<0.05). Working hours exceeding 55 hours per week and night shifts 3-4 times per week significantly increased fatigue risk ( OR=1.94, 1.90, P<0.05). Occupational stress and job discomfort were identified as risk factors for occupational fatigue ( OR=11.94, 3.26, P<0.05). Job adaptation and occupational stress exhibited a multiplicative interaction on physical fatigue after adjusting for confounders[ OR (95% CI) =0.43 (0.22, 0.84) ]. Additionally, job adaptation and occupational stress demonstrated an additive interaction on mental fatigue, with RERI (95% CI) =2.64 (0.11, 5.59), API (95% CI) =0.38 (0.08, 0.67), and SI (95% CI) =1.78 (1.01, 3.14). Medical Homo sapiens personnel in a stressful state had a 7.25-fold higher risk of fatigue compared to those not in a stressful state, while those with job discomfort had a 2.01-fold higher risk compared to those in an adapted state. Conclusion:Occupational stress and job fit have interactive effects on physical fatigue and mental fatigue in medical Homo sapiens personnel. A stressful state combined with job discomfort increases the risk of fatigue occurrence, providing a basis for developing intervention strategies for occupational fatigue among medical Homo sapiens personnel.

Lactic acid (LA) accumulation in tumor microenvironments (TME) has been implicated in immune suppression and tumor progress. Diverse roles of LA have been elucidated, including microenvironmental pH regulation, signal transduction, post-translational modification, and metabolic remodeling. This review summarizes LA functions within TME, focusing on the effects on tumor cells, immune cells, and stromal cells. Reducing LA levels is a potential strategy to attack cancer, which inevitably affects the physiological functions of normal tissues. Alternatively, transporting LA into the mitochondria as an energy source for immune cells is intriguing. We underscore the significance of LA in both tumor biology and immunology, proposing the burning of LA as a potential therapeutic approach to enhance antitumor immune responses.
Humans ; Tumor Microenvironment/immunology* ; Neoplasms/therapy* ; Lactic Acid/immunology* ; Mitochondria/metabolism* ; Animals ; Signal Transduction

Objective:To identify and evaluate the important risk factor set of anxiety and depression in occupational population, establish a risk prediction model, and provide scientific basis for making targeted mental health protection plan and promoting the mental health of workers.Methods:In August 2016, a cluster random sampling method was used to investigate 807 employees who underwent physical examination in a hospital as research objects. The simplified Chinese version of the core job content questionnaire, Athens Insomnia Scale, AIS-5 and Symptom Check List-90 (SCL-90) were used for the Occupational stress, insomnai and negative emotional symptom investigation. Chi-square and Fisher exact probability method were used for data analysis, and Bayesian network was used for model construcion and analysis.Results:The score of occupational stress was 0.88±0.15, and the incidence of occupational stress was 18.09% (146/807). AIS-5 scores were (3.03±2.82), and the incidence of insomnia was 15.99% (129/807). Depression (16.89±5.73) scores, anxiety (12.36±4.11) scores. Depression (16.89±5.73) score, anxiety (12.36±4.11) score, the detection rate was 8.55% (69/755), 7.31% (59/762). Gender, illness, education, insomnia and occupational stress were correlated with depression ( P<0.01), while education, illness, insomnia and anxiety were correlated ( P<0.05). When both occupational stress and insomnia existed, the detection rate of depression was the highest (0.4006) . Conclusion:Insomnia was a valid predictor of anxiety and depression, suggesting that occupational groups should pay attention to sleep quality and managers should rationalize work tasks in order to reduce the risk of anxiety and depression.

Objective:To investigate the relationship between work fit, work stress, and occupational fatigue among medical staff, and to analyze the independent and interactive effects of work fit and work stress on occupational fatigue.Methods:A stratified random sampling method was employed to select 1162 employees from two top-tier hospitals as the research subjects. A questionnaire survey was conducted to collect information on basic demographics, work stress, work fit, and occupational fatigue. Chi-square test, analysis of variance, and logistic regression equations were used to evaluate the interactive effects of work fit and work stress on occupational fatigue.Results:This study included 1162 medical Homo sapiens personnel, among whom 884 were job-adapted and 362 were in a stressful state. Univariate logistic regression analysis showed that the risk of occupational fatigue significantly increased in the 40-49 age group ( OR=1.89) and the bachelor's degree group ( OR=2.52, P<0.01). Smoking and alcohol consumption were also associated with a significantly higher risk of occupational fatigue ( P<0.01). In terms of occupational characteristics, compared to clinical doctors, nurses and pharmaceutical/technical Homo sapiens personnel had lower risks ( OR=0.57, 0.43, P<0.05). Compared to high-ranking Homo sapiens personnel, those with no title or junior titles exhibited lower risks ( OR=0.51, 0.43, P<0.05). Working hours exceeding 55 hours per week and night shifts 3-4 times per week significantly increased fatigue risk ( OR=1.94, 1.90, P<0.05). Occupational stress and job discomfort were identified as risk factors for occupational fatigue ( OR=11.94, 3.26, P<0.05). Job adaptation and occupational stress exhibited a multiplicative interaction on physical fatigue after adjusting for confounders[ OR (95% CI) =0.43 (0.22, 0.84) ]. Additionally, job adaptation and occupational stress demonstrated an additive interaction on mental fatigue, with RERI (95% CI) =2.64 (0.11, 5.59), API (95% CI) =0.38 (0.08, 0.67), and SI (95% CI) =1.78 (1.01, 3.14). Medical Homo sapiens personnel in a stressful state had a 7.25-fold higher risk of fatigue compared to those not in a stressful state, while those with job discomfort had a 2.01-fold higher risk compared to those in an adapted state. Conclusion:Occupational stress and job fit have interactive effects on physical fatigue and mental fatigue in medical Homo sapiens personnel. A stressful state combined with job discomfort increases the risk of fatigue occurrence, providing a basis for developing intervention strategies for occupational fatigue among medical Homo sapiens personnel.

Objective To explore the risk factors and possible preventive measures of delayed postoperative intestinal paralysis(PPOI)in elderly(aged ≥75 years)patients with colorectal cancer.Methods This retrospective study included 333 patients with CRC who underwent laporascopic resection in General Department of Beijing Chaoyang Hospital from June 2016 to August 2023.There were 126 patients were enrolled in PPOI group and 207 patients were enrolled in non-PPOI group.The perioperative clinical characteristics of the patients were compared between PPOI group and non-PPOI group,and the risk factors of PPOI and potential preventive measures for them were investigated usingLogisticregression.Results The incidence of PPOI after laparoscopic surgery in elderly patients with colorectal cancer was 37.84％.The ages of the PPOI group and the non-PPOI group were(82.60±3.587)years and(80.38±3.847)years respectively.The rates of primary enterostomy during the operation were 20.63％and 9.66％,respectively,and the preoperative combined nutritional risks were 53.97％and 20.77％,respectively.The preoperative serum albumin levels were lower,which were(35.32±3.77)g/L and(38.36±3.91)g/L,respectively,and the preoperative hemoglobin levels were(104.47±20.31)g/L and(110.33±20.27)g/L,respectively.The intraoperative blood loss was(140.48±130.65)mland(98.26±56.45)ml,respectively.The patients who received enhanced recovery after surgery(ERAS)measures during the perioperative period were 14.29％and 75.85％,respectively.There was a statistically significant difference between the two groups(P＜0.05).The Logistic analysis showed that the risk factors for elderly patients with PPOI including increased age,preoperative nutritional risk,low preoperative albumin,increased intraoperative blood loss.Moreover,the implementation of ERAS protocols including preoperative nutritional support,multimodal low-opioid anesthesia,gastric tube removal and ground activity early after surgery may be the protective factors of PPOI.Conclusion The risk factors of PPOI for colorectal patients older than 75 years including increased age,preoperative nutritional risk,low preoperative albumin,increased intraoperative blood loss.The ERAS protocols including preoperative nutritional support,multimodal low-opioid anesthesia,gastric tube removal and ground activity early after surgery may be useful to prevent the occurrence of PPOI for elderly patients with colorectal cancer.

Objective To explore the risk factors and possible preventive measures of delayed postoperative intestinal paralysis(PPOI)in elderly(aged ≥75 years)patients with colorectal cancer.Methods This retrospective study included 333 patients with CRC who underwent laporascopic resection in General Department of Beijing Chaoyang Hospital from June 2016 to August 2023.There were 126 patients were enrolled in PPOI group and 207 patients were enrolled in non-PPOI group.The perioperative clinical characteristics of the patients were compared between PPOI group and non-PPOI group,and the risk factors of PPOI and potential preventive measures for them were investigated usingLogisticregression.Results The incidence of PPOI after laparoscopic surgery in elderly patients with colorectal cancer was 37.84％.The ages of the PPOI group and the non-PPOI group were(82.60±3.587)years and(80.38±3.847)years respectively.The rates of primary enterostomy during the operation were 20.63％and 9.66％,respectively,and the preoperative combined nutritional risks were 53.97％and 20.77％,respectively.The preoperative serum albumin levels were lower,which were(35.32±3.77)g/L and(38.36±3.91)g/L,respectively,and the preoperative hemoglobin levels were(104.47±20.31)g/L and(110.33±20.27)g/L,respectively.The intraoperative blood loss was(140.48±130.65)mland(98.26±56.45)ml,respectively.The patients who received enhanced recovery after surgery(ERAS)measures during the perioperative period were 14.29％and 75.85％,respectively.There was a statistically significant difference between the two groups(P＜0.05).The Logistic analysis showed that the risk factors for elderly patients with PPOI including increased age,preoperative nutritional risk,low preoperative albumin,increased intraoperative blood loss.Moreover,the implementation of ERAS protocols including preoperative nutritional support,multimodal low-opioid anesthesia,gastric tube removal and ground activity early after surgery may be the protective factors of PPOI.Conclusion The risk factors of PPOI for colorectal patients older than 75 years including increased age,preoperative nutritional risk,low preoperative albumin,increased intraoperative blood loss.The ERAS protocols including preoperative nutritional support,multimodal low-opioid anesthesia,gastric tube removal and ground activity early after surgery may be useful to prevent the occurrence of PPOI for elderly patients with colorectal cancer.

Objective:To identify and evaluate the important risk factor set of anxiety and depression in occupational population, establish a risk prediction model, and provide scientific basis for making targeted mental health protection plan and promoting the mental health of workers.Methods:In August 2016, a cluster random sampling method was used to investigate 807 employees who underwent physical examination in a hospital as research objects. The simplified Chinese version of the core job content questionnaire, Athens Insomnia Scale, AIS-5 and Symptom Check List-90 (SCL-90) were used for the Occupational stress, insomnai and negative emotional symptom investigation. Chi-square and Fisher exact probability method were used for data analysis, and Bayesian network was used for model construcion and analysis.Results:The score of occupational stress was 0.88±0.15, and the incidence of occupational stress was 18.09% (146/807). AIS-5 scores were (3.03±2.82), and the incidence of insomnia was 15.99% (129/807). Depression (16.89±5.73) scores, anxiety (12.36±4.11) scores. Depression (16.89±5.73) score, anxiety (12.36±4.11) score, the detection rate was 8.55% (69/755), 7.31% (59/762). Gender, illness, education, insomnia and occupational stress were correlated with depression ( P<0.01), while education, illness, insomnia and anxiety were correlated ( P<0.05). When both occupational stress and insomnia existed, the detection rate of depression was the highest (0.4006) . Conclusion:Insomnia was a valid predictor of anxiety and depression, suggesting that occupational groups should pay attention to sleep quality and managers should rationalize work tasks in order to reduce the risk of anxiety and depression.

Objective:To explore the risk factors of insomnia among employees in the thermal power generation industry and the network relationships between their interactions, and to provide scientific basis for personalized interventions for high-risk groups with insomnia.Methods:In November 2022, 860 employees of a typical thermal power generation enterprise were selected as the research subjects by cluster sampling. On-site occupational health field surveys and questionnaire surveys were used to collect basic information, occupational characteristics, anxiety, depression, stress, occupational stress, and insomnia. The interaction between insomnia and occupational health psychological factors was evaluated by using structural equation model analysis and Bayesian network construction.Results:The detection rates of anxiety, depression and stress were 34.0% (292/860), 32.1% (276/860) and 18.0% (155/860), respectively. The total score of occupational stress was (445.3±49.9) points, and 160 workers (18.6%) were suspected of insomnia, and 578 workers (67.2%) had insomnia. Structural equation model analysis showed that occupational stress had a significant effect on the occurrence of insomnia in thermal power generation workers (standardized load coefficient was 0.644), and occupational health psychology had a low effect on insomnia (standardized load coefficient was 0.065). However, the Bayesian network model further analysis found that anxiety and stress were the two parent nodes of insomnia, with direct causal relationships, the arc strength was-8.607 and -15.665, respectively. The model prediction results showed that the probability of insomnia occurring was predicted to be 0 in the cases of no stress and anxiety, low stress without anxiety, and no stress with low anxiety. When high stress with low anxiety and low stress with high anxiety occurred, the predicted probability of insomnia occurring were 0.38 and 0.47, respectively. When both high stress and high anxiety occurred simultaneously, the predicted probability of insomnia occurring was 0.51.Conclusion:Bayesian network risk assessment can intuitively reveal and predict the insomnia risk of thermal power generation workers and the network interaction relationship between the risks. Anxiety and stress are the direct causal risks of insomnia, and stress is the main risk of individual insomnia of thermal power generation workers. The occurrence of insomnia can be reduced based on scientific intervention of stress conditions.

Recent progress in targeted metabolic therapy of cancer has been limited by the considerable toxicity associated with such drugs. To address this challenge, we developed a smart theranostic prodrug system that combines a fluorophore and an anticancer drug, specifically 6-diazo-5-oxo-l-norleucine (DON), using a thioketal linkage (TK). This system enables imaging, chemotherapy, photodynamic therapy, and on-demand drug release upon radiation exposure. The optimized prodrug, DON-TK-BM3, incorporating cyanine dyes as the fluorophore, displayed potent reactive oxygen species release and efficient tumor cell killing. Unlike the parent drug DON, DON-TK-BM3 exhibited no toxicity toward normal cells. Moreover, DON-TK-BM3 demonstrated high tumor accumulation and reduced side effects, including gastrointestinal toxicity, in mice. This study provides a practical strategy for designing prodrugs of metabolic inhibitors with significant toxicity stemming from their lack of tissue selectivity.

Background Studies on the relationships of environmental noise exposure with negative emotions and sleep quality have long been reported. Self-perceived noise intensity is not only related to environmental noise exposure, but also reflects an individual's susceptibility to noise; however, few studies on self-perceived noise intensity, negative emotions, and sleep quality have been reported, and it is not clear whether negative emotions play a mediating role in the relationship between self-perceived noise intensity and sleep quality. Objective To analyze the mediating role of negative emotions (anxiety, depression, and stress) in the relationship between self-perceived noise intensity and sleep quality in noise-exposed workers, and to provide a scientific basis for addressing psychological problems and sleep quality induced by noise exposure. Methods Stratified cluster sampling was used to select noise-exposed workers from a large equipment manufacturing plant in Chengdu from May to June 2023, and demographic characteristics were investigated using a self-designed general information questionnaire; self-perceived noise intensity was reported by the study subjects as the noise intensity of their workplaces; sleep quality was synthesized from three indicators: night sleep duration, self-perceived sleep quality, and sleep-related symptoms; the Anxiety-Depression-Stress Scale (DASS-21 scale) was used to evaluate anxiety, depression, and stress of a worker. Structural equation modeling was used to analyze the pathways of negative emotions (anxiety, depression, and stress) between self-perceived noise intensity and sleep quality. Results The positive rates of negative emotions were 33.1% (anxiety symptoms, 215/649), 26.0% (depression symptoms, 169/649), and 14.0% (stress symptoms, 91/649), respectively in a total of 649 noise-exposed workers. Self-perceived noise intensity was positively correlated with sleep quality score (r=0.218, P<0.001) and negative emotions (anxiety, depression, and stress) (r=0.167, 0.145, 0.167, P<0.001); sleep quality score was positively correlated with negative emotions (anxiety, depression, and stress) (r=0.512, 0.447, 0.513, P<0.001). The results of path analysis showed that the negative emotions (anxiety, depression, and stress) partially mediated between self-perceived noise intensity and sleep quality (β=0.123，P<0.001). Self-perceived noise intensity was positively correlated with negative emotions and sleep quality, and there was a path of self-perceived noise intensity → negative emotion → sleep quality (P<0.001), and the mediating effect accounted for 42.71%. Conclusion The positive rates of anxiety, depression, and stress are high among the noise-receiving workers in this manufacturing industry, and negative emotions characterized by anxiety, depression, and stress partially mediate the relationship between self-perceived noise intensity and sleep quality.