Objective:To investigate the occurrence of work-related musculoskeletal disorders (WMSDs) in bus drivers in Zhuhai City, analyze the ergonomic factors, and explore the prevention and control measures of WMSDs.Methods:From March to May 2023, 1675 active bus drivers from 5 branches of a bus group in Zhuhai were selected by stratified sampling method. The incidence of WMSDs among bus drivers in the past 12 months was investigated by using the modified Chinese Version of Musculoskeletal Disorders Questionnaire. The influencing factors of WMSDs were analyzed by χ2 test and generalized linear model. Results:The total incidence of WMSDs in bus drivers in the past 12 months was 47.2% (790/1675) , and the incidence of WMSDs in neck and shoulder and lower back was 36.9% (618/1675) and 31.7% (531/1675) , respectively. The χ2 test showed that there were statistically significant differences in the incidence of WMSDs among bus drivers with different individual factors such as body mass index (BMI) , physical exercise and looking down at mobile phones ( P<0.05) . There were significant differences in the incidence of WMSDs in the neck and shoulder of bus drivers with different years of service and number of stops on their routes ( P<0.05) . There were statistically significant differences in the incidence of WMSDs in the lower back of bus drivers with different one-way driving time, shift patterns, and rest breaks during work ( P<0.05) . Abnormal BMI, professional working years >12 years, uncomfortable working posture, frequent turning, slightly forward neck posture, large forward neck posture and long shoulder posture were the risk factors for WMSDs of bus drivers ( P<0.05) , and comfortable seat was the protective factor ( P<0.05) . One-way driving time >70 min, shift work schedules, uncomfortable working posture, slightly forward back posture, and frequent turning were the risk factors leading to lower back WMSDs ( P<0.05) , and physical exercise, comfortable driving cabin space, and seat comfort were the protective factors ( P<0.05) . Conclusion:The total incidence of WMSDs in bus drivers is higher, and ergonomic factors are related to the occurrence of WMSDs. In the implementation of bus driving space comfort, human-computer interaction interface friendliness and seat comfort, employers should be reasonable allocation of fitness facilities, regular training, reasonable shift organization and other measures to prevent and control the occurrence of bus drivers WMSDs.

Objective:To establish a genomic nucleic acid mass spectrometry detection platform for allelic risk associated with Alzheimer's disease.Methods:Whole blood samples of 61 patients diagnosed as Alzheimer's disease in the Affiliated Brain Hospital of Guangzhou Medical University from December 28th, 2023 to 31st, March 2024 were collected and deoxynucleic acid (DNA) was extracted, including 22 males and 39 females, aged (67.36 ± 8.18) years old. After screening out 17 risk gene loci in Chinese population, multiplex polymerase chain reaction primers, single-base extension primers and Sanger sequencing primers were designed. Ten samples were used for primer optimization and debugging through Sanger sequencing and time-of-flight mass spectrometry to establish a detection system. The remaining samples were genotyped using a time-of-flight mass spectrometer and verified by Sanger sequencing for accuracy evaluation. Five samples were selected for gradient dilution and then subjected to time-of-flight mass spectrometry detection to evaluate the detection limit. Three clinical samples, one case of Escherichia coli and one case of Staphylococcus aureus genomic DNA samples were selected for cross-reaction research. The anti-interference ability of the detection system was evaluated against hemolysis, chylous substances and conventional anticoagulants in the samples. Two samples, one wild and one homozygous mutation sample with representative peak shapes, were selected to evaluate the anti-interference ability. Four samples containing the common genotypes of all gene loci in the system were selected and repeated 10 times to evaluate the precision.Results:The minimum intensity of single-base extension primers on mass spectrometry is greater than half of the maximum intensity. All 17 risk gene loci screened were successfully typed. The time-of-flight mass spectrometry detection results of 1,037 loci from 61 samples showed that the genotyping detection rate was 100%. The genotypes of the 20 DNA samples were completely consistent with the results of Sanger sequencing, with an accuracy rate of 100%. The mass spectrometry detection results of five samples after gradient dilution indicated that the low detection limit was 5 ng of DNA. The reaction system has a strong anti-interference ability against hemolysis of samples, chylous substances, conventional anticoagulants and DNA cross-contamination. Homologous allele interference and no cross-reaction between the bacterial genome and 17 gene loci do not affect the risk genome detection results. The results of 10 repeated mass spectrometry tests on 4 samples showed that the precision was 100%.Conclusion:The genomic detection system of Alzheimer's disease risk has been successfully established to provide an auxiliary mean for disease diagnosis and risk assessment.

Anhedonia is one of the core features of major depressive disorder (MDD) and is associated with poor functional outcomes in MDD patients. Psychosocial functional recovery is an important goal for achieving MDD remission. Although longitudinal studies have found association between anhedonia and impaired psychosocial function, there is still a lack of neurobiological biomarkers that can indicate this relationship. In this review, brain structural and functional changes associated with anhedonia and impaired psychosocial function in MDD patients are reviewed from the perspective of magnetic resonance imaging. It finds that anhedonia and psychosocial dysfunction in MDD may share common neuroimaging changes, manifested in abnormal brain regions such as the nucleus accumbens, caudate nucleus, putamen nucleus, orbitofrontal cortex, insula, amygdala, anterior cingulate cortex, dorsolateral prefrontal cortex, superior parietal lobe, inferior frontal gyrus and temporal lobe. These findings help to better understand the pathophysiology of the disease and offer potential insights for developing new treatment strategies.

Anhedonia is one of the core features of major depressive disorder (MDD) and is associated with poor functional outcomes in MDD patients. Psychosocial functional recovery is an important goal for achieving MDD remission. Although longitudinal studies have found association between anhedonia and impaired psychosocial function, there is still a lack of neurobiological biomarkers that can indicate this relationship. In this review, brain structural and functional changes associated with anhedonia and impaired psychosocial function in MDD patients are reviewed from the perspective of magnetic resonance imaging. It finds that anhedonia and psychosocial dysfunction in MDD may share common neuroimaging changes, manifested in abnormal brain regions such as the nucleus accumbens, caudate nucleus, putamen nucleus, orbitofrontal cortex, insula, amygdala, anterior cingulate cortex, dorsolateral prefrontal cortex, superior parietal lobe, inferior frontal gyrus and temporal lobe. These findings help to better understand the pathophysiology of the disease and offer potential insights for developing new treatment strategies.

Objective:To investigate the occurrence of work-related musculoskeletal disorders (WMSDs) in bus drivers in Zhuhai City, analyze the ergonomic factors, and explore the prevention and control measures of WMSDs.Methods:From March to May 2023, 1675 active bus drivers from 5 branches of a bus group in Zhuhai were selected by stratified sampling method. The incidence of WMSDs among bus drivers in the past 12 months was investigated by using the modified Chinese Version of Musculoskeletal Disorders Questionnaire. The influencing factors of WMSDs were analyzed by χ2 test and generalized linear model. Results:The total incidence of WMSDs in bus drivers in the past 12 months was 47.2% (790/1675) , and the incidence of WMSDs in neck and shoulder and lower back was 36.9% (618/1675) and 31.7% (531/1675) , respectively. The χ2 test showed that there were statistically significant differences in the incidence of WMSDs among bus drivers with different individual factors such as body mass index (BMI) , physical exercise and looking down at mobile phones ( P<0.05) . There were significant differences in the incidence of WMSDs in the neck and shoulder of bus drivers with different years of service and number of stops on their routes ( P<0.05) . There were statistically significant differences in the incidence of WMSDs in the lower back of bus drivers with different one-way driving time, shift patterns, and rest breaks during work ( P<0.05) . Abnormal BMI, professional working years >12 years, uncomfortable working posture, frequent turning, slightly forward neck posture, large forward neck posture and long shoulder posture were the risk factors for WMSDs of bus drivers ( P<0.05) , and comfortable seat was the protective factor ( P<0.05) . One-way driving time >70 min, shift work schedules, uncomfortable working posture, slightly forward back posture, and frequent turning were the risk factors leading to lower back WMSDs ( P<0.05) , and physical exercise, comfortable driving cabin space, and seat comfort were the protective factors ( P<0.05) . Conclusion:The total incidence of WMSDs in bus drivers is higher, and ergonomic factors are related to the occurrence of WMSDs. In the implementation of bus driving space comfort, human-computer interaction interface friendliness and seat comfort, employers should be reasonable allocation of fitness facilities, regular training, reasonable shift organization and other measures to prevent and control the occurrence of bus drivers WMSDs.

Objective:To establish a genomic nucleic acid mass spectrometry detection platform for allelic risk associated with Alzheimer's disease.Methods:Whole blood samples of 61 patients diagnosed as Alzheimer's disease in the Affiliated Brain Hospital of Guangzhou Medical University from December 28th, 2023 to 31st, March 2024 were collected and deoxynucleic acid (DNA) was extracted, including 22 males and 39 females, aged (67.36 ± 8.18) years old. After screening out 17 risk gene loci in Chinese population, multiplex polymerase chain reaction primers, single-base extension primers and Sanger sequencing primers were designed. Ten samples were used for primer optimization and debugging through Sanger sequencing and time-of-flight mass spectrometry to establish a detection system. The remaining samples were genotyped using a time-of-flight mass spectrometer and verified by Sanger sequencing for accuracy evaluation. Five samples were selected for gradient dilution and then subjected to time-of-flight mass spectrometry detection to evaluate the detection limit. Three clinical samples, one case of Escherichia coli and one case of Staphylococcus aureus genomic DNA samples were selected for cross-reaction research. The anti-interference ability of the detection system was evaluated against hemolysis, chylous substances and conventional anticoagulants in the samples. Two samples, one wild and one homozygous mutation sample with representative peak shapes, were selected to evaluate the anti-interference ability. Four samples containing the common genotypes of all gene loci in the system were selected and repeated 10 times to evaluate the precision.Results:The minimum intensity of single-base extension primers on mass spectrometry is greater than half of the maximum intensity. All 17 risk gene loci screened were successfully typed. The time-of-flight mass spectrometry detection results of 1,037 loci from 61 samples showed that the genotyping detection rate was 100%. The genotypes of the 20 DNA samples were completely consistent with the results of Sanger sequencing, with an accuracy rate of 100%. The mass spectrometry detection results of five samples after gradient dilution indicated that the low detection limit was 5 ng of DNA. The reaction system has a strong anti-interference ability against hemolysis of samples, chylous substances, conventional anticoagulants and DNA cross-contamination. Homologous allele interference and no cross-reaction between the bacterial genome and 17 gene loci do not affect the risk genome detection results. The results of 10 repeated mass spectrometry tests on 4 samples showed that the precision was 100%.Conclusion:The genomic detection system of Alzheimer's disease risk has been successfully established to provide an auxiliary mean for disease diagnosis and risk assessment.

Neurocognitive dysfunction has been identified in major depressive disorder (MDD), and can potentially impair an individual′s psychosocial functioning. Consequently, the relationship between neurocognition and psychosocial functioning of MDD has gradually become one of the hot spots in recent years. Studying the association can help explore the biological basis of psychosocial functioning in depression, allows for underpinnings, targeted clinical interventions, and ultimately achieves true rehabilitation. This article summarises studies on the specific relationships between subfields of neurocognitive and psychosocial function in MDD, and discusses potential future research directions.

Bus drivers, as an important occupational group in urban public transportation system, are prone to suffer from work-related musculoskeletal disorders (WMSDs) due to prolonged fixed postures and repetitive movements. The T/WSJD 14.9-2024 Ergonomic Guidelines for the Prevention of Work-related Musculoskeletal Disorders: Part 9: Bus Driving Work is a recommended standard developed to prevent WMSDs among bus drivers. This standard, guided by the principles of T/WSJD 14.1-2020 Ergonomic Principle for the Prevention of Work-related Musculoskeletal Disorders: Part 1: General Principles, is based on a preliminary work of comprehensive review of domestic and international research, workplace on-site surveys and questionnaires, data analysis, and factor identification. It defines the scope of application, identifies relevant risk factors and potential affected body parts, and offers ergonomic solutions in the form of intervention examples. The issuance of this guideline as a organization standard will facilitate the promotion and implementation of intervention measures.

Objective:To analyze the influencing factors of platinum resistant recurrence in advanced epithelial ovarian cancer(AEOC),establish a nomogram model to predict platinum-resistant recurrence of AEOC,and inter-nally validate it.Methods:The clinicopathological data of 577 AEOC patients who achieved complete remission af-ter initial treatment in the Department of Gynecology,Yunnan Cancer Hospital from June 1,2013 to December 31,2021 were collected.According to whether the platinum free interval(PFI)was less than 6 months,the patients were divided into platinum-resistant recurrence group(130 cases)and non-platinum-resistant group(447 cases,including patients with platinum-sensitive recurrence and no recurrence after 6 months of follow-up).Multivariate Logistic regression analysis was used to screen for the independent risk factors affecting the recurrence of plati-num-resistant patients.Based on the independent risk factors,a nomogram prediction model was established,and Bootstrap method was used for internal verification.The area under the ROC curve(AUC),calibration curve and decision curve(DCA)were used to evaluate the performance of the model.Results:①There were statistically sig-nificant differences in age,bilateral ovarian invasion,FIGO staging,menopause,neoadjuvant chemotherapy(NACT),chemotherapy interval(TTC),platelet count(PLT),platelet count/lymphocyte count ratio(PLR),fibrino-gen/lymphocyte count ratio(FLR),prognostic nutritional index(PNI),albumin(ALB),CA125 level,ascites volume,residual lesions,perioperative chemotherapy frequency,and CA125 half-life between the two groups(P＜0.05).②Multivariate Logistic regression analysis showed that bilateral ovarian invasion,FIGO stage Ⅳ,TTC＞16 days,ini-tial ascites volume＞1000ml,perioperative chemotherapy frequency＞9 times,surgery with R2 resection,CA125 half-life＞52 days were independent risk factors for recurrence of platinum-resistant AEOC patients(OR＞1,P＜0.05).③The AUC of the nomogram model constructed based on the above 7 indicators was 0.791(95％Cl 0.747-0.835),and the calibration curve and ideal curve fitted well.DCA showed that the net benefit interval of the model was 0.037-0.800.Conclusions:The nomogram prediction model based on independent risk factors for the recurrence of platinum-resistance of AEOC patients has good discrimination,calibration and clinical appli-cability,which can better predict the recurrence risk of platinum-resistance in AEOC patients after the initial treat-ment.

Objective:To analyze the influencing factors of platinum resistant recurrence in advanced epithelial ovarian cancer(AEOC),establish a nomogram model to predict platinum-resistant recurrence of AEOC,and inter-nally validate it.Methods:The clinicopathological data of 577 AEOC patients who achieved complete remission af-ter initial treatment in the Department of Gynecology,Yunnan Cancer Hospital from June 1,2013 to December 31,2021 were collected.According to whether the platinum free interval(PFI)was less than 6 months,the patients were divided into platinum-resistant recurrence group(130 cases)and non-platinum-resistant group(447 cases,including patients with platinum-sensitive recurrence and no recurrence after 6 months of follow-up).Multivariate Logistic regression analysis was used to screen for the independent risk factors affecting the recurrence of plati-num-resistant patients.Based on the independent risk factors,a nomogram prediction model was established,and Bootstrap method was used for internal verification.The area under the ROC curve(AUC),calibration curve and decision curve(DCA)were used to evaluate the performance of the model.Results:①There were statistically sig-nificant differences in age,bilateral ovarian invasion,FIGO staging,menopause,neoadjuvant chemotherapy(NACT),chemotherapy interval(TTC),platelet count(PLT),platelet count/lymphocyte count ratio(PLR),fibrino-gen/lymphocyte count ratio(FLR),prognostic nutritional index(PNI),albumin(ALB),CA125 level,ascites volume,residual lesions,perioperative chemotherapy frequency,and CA125 half-life between the two groups(P＜0.05).②Multivariate Logistic regression analysis showed that bilateral ovarian invasion,FIGO stage Ⅳ,TTC＞16 days,ini-tial ascites volume＞1000ml,perioperative chemotherapy frequency＞9 times,surgery with R2 resection,CA125 half-life＞52 days were independent risk factors for recurrence of platinum-resistant AEOC patients(OR＞1,P＜0.05).③The AUC of the nomogram model constructed based on the above 7 indicators was 0.791(95％Cl 0.747-0.835),and the calibration curve and ideal curve fitted well.DCA showed that the net benefit interval of the model was 0.037-0.800.Conclusions:The nomogram prediction model based on independent risk factors for the recurrence of platinum-resistance of AEOC patients has good discrimination,calibration and clinical appli-cability,which can better predict the recurrence risk of platinum-resistance in AEOC patients after the initial treat-ment.