AIM: To compare the agreement between the ARK Biometer Combo and OA 2000 in patients wearing orthokeratology lenses.METHODS: A prospective study. A total of 148 patients(148 eyes)who were wearing orthokeratology lenses and returned for follow-up at the Shanghai Eye Disease Prevention and Treatment Center from August to September 2024 were included. Biometric measurements were performed using both the ARK Biometer Combo and OA 2000. Parameters including axial length(AL), corneal central thickness(CCT), anterior chamber depth(ACD), lens thickness(LT), corneal curvature(Kf and Ks), astigmatism(AST), white-to-white corneal diameter(WTW)and pupil diameter(PD)were obtained. Differences in measurement parameters between the two biometers were compared, and agreement was assessed.RESULTS: There were no statistically significant differences in the measurements of Kf, Ks and AST between the two biometers(P>0.05). Statistically significant differences were found in the measurements of AL, CCT, ACD, LT, WTW and PD(t=2.559, P=0.012; t=16.771, P<0.0001; t=4.749, P<0.0001; t=-15.212, P<0.0001; t=-14.915, P<0.0001; t=-2.402, P=0.018). ICC ranged from 0.615 to 0.999. Bland-Altman analysis showed that the maximum absolute values of the 95% limits of agreement(LoA)of AL, CCT, ACD, LT, Kf, Ks, AST, WTW and PD were 0.07 mm, 35.07 μm, 0.07 mm, 0.12 mm, 0.66 D, 1.14 D, 1.00 D, 0.76 mm, and 0.98 mm, respectively.CONCLUSION: In orthokeratology patients, the ARK Biometer Combo and OA 2000 showed good agreement in measuring AL, CCT, ACD, Kf and LT, and can be used interchangeably.

Background Job burnout and depressive symptoms are prevalent among occupational populations, with a close relationship between them. Sleep quality, as a potential mediating factor, significantly affects the mental health of workers. Objective To explore the relationship between job burnout, sleep quality, and depressive symptoms, and determine whether sleep quality mediates the relationship between job burnout and depressive symptoms. Methods From April 25 to May 1, 2024, this study employed cluster sampling to conduct a questionnaire survey among individuals engaged in various occupations across five cities in the Ningxia Hui Autonomous Region. The questionnaires included socio-demographic information, as well as the Chinese Maslach Burnout Inventory (CMBI), the Pittsburgh Sleep Quality Index (PSQI), and the Patient Health Questionnaire-9 (PHQ-9) for assessing burnout, sleep quality, and depressive symptoms, respectively. Out of the 4106 questionnaires distributed, a total of 3837 questionnaires were valid, and the valid recovery rate was 93.45%. The distribution among demographic variables in burnout, sleep quality and depressive symptoms were statistically analyzed. A binary logistic regression model was used for multifactor correlation analysis; Pearson correlation was used to test the correlation between burnout, sleep quality, and depressed mood. Modelling and mediated effect path mapping were performed using Amos 24.0 software. Results The postive rate of occupational burnout in the workers was 97.49% (3741/3837), the positive rate of poor sleep quality was 66.77% (2526/3837), and the positive rate of depressive symptoms was 75.68% (2904/3837). There were statistically significant differences in depressive symptoms by ages, shift types, working years, marital status, smoking habits, drinking habits, and exercising frequency (P < 0.05). The logistic model indicated that working years, drinking habits, job burnout, and overall sleep quality were significant factors influencing the occurrence of depressive symptoms (P < 0.05). The correlation analysis revealed positive correlations between depressive symptom scores and job burnout scores (r=0.045, P < 0.01), between depressive symptom scores and sleep quality scores (r=0.480, P < 0.01), and between job burnout scores and sleep quality scores (r=0.054, P < 0.01). Furthermore, the indirect effect of job burnout on depressive symptoms through sleep quality was 0.100 (95%CI: 0.204, 0.252; P < 0.01). Conclusion Job burnout and sleep quality are significant factors associated with the occurrence of depressive symptoms among occupational populations, and sleep quality plays a partial mediating role in depressive symptoms associated with job burnout. This finding may provide a scientific basis for developing intervention strategies to control depressive symptoms among workers.

Combined with elastic network model (ENM), the perturbation response scanning (PRS) has emerged as a robust technique for pinpointing allosteric interactions within proteins. Here, we proposed the PRS analysis of drug-target networks (DTNs), which could provide a promising avenue in network medicine. We demonstrated the utility of the method by introducing a deep learning and network perturbation-based framework, for drug repurposing of multiple sclerosis (MS). First, the MS comorbidity network was constructed by performing a random walk with restart algorithm based on shared genes between MS and other diseases as seed nodes. Then, based on topological analysis and functional annotation, the neurotransmission module was identified as the "therapeutic module" of MS. Further, perturbation scores of drugs on the module were calculated by constructing the DTN and introducing the PRS analysis, giving a list of repurposable drugs for MS. Mechanism of action analysis both at pathway and structural levels screened dihydroergocristine as a candidate drug of MS by targeting a serotonin receptor of serotonin 2B receptor (HTR2B). Finally, we established a cuprizone-induced chronic mouse model to evaluate the alteration of HTR2B in mouse brain regions and observed that HTR2B was significantly reduced in the cuprizone-induced mouse cortex. These findings proved that the network perturbation modeling is a promising avenue for drug repurposing of MS. As a useful systematic method, our approach can also be used to discover the new molecular mechanism and provide effective candidate drugs for other complex diseases.

S-methyl-L-cysteine sulfoxide (SMCO) is a non-protein sulfur-containing amino acid with a variety of functions. There are few reports on the enzymes catalyzing the biosynthesis of SMCO from S-methyl-L-cysteine (SMC). In this study, the flavin-containing monooxygenase gene derived from Schizosaccharomyces pombe (spfmo) was heterologously expressed in Escherichia coli BL21(DE3) and the enzymatic properties of the expressed protein were analyzed. The optimum catalytic conditions of the recombinant SpFMO were 30 ℃ and pH 8.0, under which the enzyme activity reached 72.77 U/g. An appropriate amount of Mg²⁺ improved the enzyme activity. The enzyme kinetic analysis showed that the K_m and k_cat/K_m of SpFMO on the substrate SMC were 23.89 μmol/L and 61.71 L/(min·mmol), respectively. Under the optimal reaction conditions, the yield of SMCO synthesized from SMC catalyzed by SpFMO was 12.31% within 9 h. This study provides reference for the enzymatic synthesis of SMCO.
Schizosaccharomyces/genetics* ; Escherichia coli/metabolism* ; Recombinant Proteins/metabolism* ; Cysteine/biosynthesis* ; Mixed Function Oxygenases/metabolism* ; Schizosaccharomyces pombe Proteins/metabolism* ; Oxygenases/metabolism* ; Kinetics

Combined with elastic network model(ENM),the perturbation response scanning(PRS)has emerged as a robust technique for pinpointing allosteric interactions within proteins.Here,we proposed the PRS analysis of drug-target networks(DTNs),which could provide a promising avenue in network medicine.We demonstrated the utility of the method by introducing a deep learning and network perturbation-based framework,for drug repurposing of multiple sclerosis(MS).First,the MS comorbidity network was constructed by performing a random walk with restart algorithm based on shared genes between MS and other diseases as seed nodes.Then,based on topological analysis and functional annotation,the neurotransmission module was identified as the"therapeutic module"of MS.Further,perturbation scores of drugs on the module were calculated by constructing the DTN and introducing the PRS analysis,giving a list of repurposable drugs for MS.Mechanism of action analysis both at pathway and structural levels screened dihydroergocristine as a candidate drug of MS by targeting a serotonin receptor of se-rotonin 2B receptor(HTR2B).Finally,we established a cuprizone-induced chronic mouse model to evaluate the alteration of HTR2B in mouse brain regions and observed that HTR2B was significantly reduced in the cuprizone-induced mouse cortex.These findings proved that the network perturbation modeling is a promising avenue for drug repurposing of MS.As a useful systematic method,our approach can also be used to discover the new molecular mechanism and provide effective candidate drugs for other complex diseases.

Objective:To discuss the diagnostic value of the quantitative analysis of contrast-enhanced ultrasound (CEUS) in differentiating benign and malignant subpleural lung lesions.Methods:A total of 299 cases of ultrasound-guided percutaneous lung puncture in Shanghai Pulmonary Hospital Affiliated to Tongji University from January 2019 to June 2019 were selected and divided into benign group and malignant group. The time-intensity curve (TIC) parameters of CEUS before puncture in both groups were reviewed and compared with the corresponding pathological results, including the arrival time (AT), the AT intensity, the time to peak intensity (TTP), and maximum intensity (IMAX) of the lesions, the net enhancement of intensity of the lesions, the reduced-by-half intensity and the reduced-by-half time of the lesions, the AT difference between the lesions and the lung tissues, the AT difference between the chest wall and the lesions, and the time ratio. The receiver operating characteristic (ROC) curves were drawn, and the area under the curve (AUC) and the optimal cut-off point were calculated.Results:Among the quantitative parameters of CEUS, there were statistically significant differences between the benign group and malignant group in terms of the AT, AT intensity, TTP, the reduced-by-half intensity and time of the lesions, the AT difference between the lesions and the lung tissues, the AT difference between the chest wall and the lesions, and the time ratio ( P<0.05); while there was no statistically significant difference between the benign group and malignant group in terms of the IMAX and the net enhancement of intensity of the lesions ( P>0.05). The AUC of time ratio was the largest (0.845); the sensitivity, specificity, accuracy, positive predictive value, and negative predictive value were 86.2%, 79.3%, 84.3%, 92%, and 68%, respectively, when the time ratio was at or above 51.89%. Conclusion:Multiple TIC parameters of CEUS quantitative analysis have shown significant differences in differentiating benign and malignant subpleural lung lesions, especially, the parameter of time ratio can provide a basis for clinical differential diagnosis.

Objective:To discuss the diagnostic value of the quantitative analysis of contrast-enhanced ultrasound (CEUS) in differentiating benign and malignant subpleural lung lesions.Methods:A total of 299 cases of ultrasound-guided percutaneous lung puncture in Shanghai Pulmonary Hospital Affiliated to Tongji University from January 2019 to June 2019 were selected and divided into benign group and malignant group. The time-intensity curve (TIC) parameters of CEUS before puncture in both groups were reviewed and compared with the corresponding pathological results, including the arrival time (AT), the AT intensity, the time to peak intensity (TTP), and maximum intensity (IMAX) of the lesions, the net enhancement of intensity of the lesions, the reduced-by-half intensity and the reduced-by-half time of the lesions, the AT difference between the lesions and the lung tissues, the AT difference between the chest wall and the lesions, and the time ratio. The receiver operating characteristic (ROC) curves were drawn, and the area under the curve (AUC) and the optimal cut-off point were calculated.Results:Among the quantitative parameters of CEUS, there were statistically significant differences between the benign group and malignant group in terms of the AT, AT intensity, TTP, the reduced-by-half intensity and time of the lesions, the AT difference between the lesions and the lung tissues, the AT difference between the chest wall and the lesions, and the time ratio ( P<0.05); while there was no statistically significant difference between the benign group and malignant group in terms of the IMAX and the net enhancement of intensity of the lesions ( P>0.05). The AUC of time ratio was the largest (0.845); the sensitivity, specificity, accuracy, positive predictive value, and negative predictive value were 86.2%, 79.3%, 84.3%, 92%, and 68%, respectively, when the time ratio was at or above 51.89%. Conclusion:Multiple TIC parameters of CEUS quantitative analysis have shown significant differences in differentiating benign and malignant subpleural lung lesions, especially, the parameter of time ratio can provide a basis for clinical differential diagnosis.

Objective To investigate the intervention of trans-theoretical model on the risk factors in the patients with prediabetes.Methods One hundred and twenty-two patients with pre-diabetes in a tertiary hospital of Zhengzhou City were selected and randomly assigned to control group and intervention group.The control group received the routine diabetic health education,while in addition to the routine health education,the intervention group was assisted by TTM interventional measures.The blood glucose,body mass index(BMI) and negative emotion were compared between the two groups.Results The blood glucose and BMI after intervention in the two groups were decreased,moreover the decrease level of fasting blood glucose and BMI in the intervention group was higher than that in the control group,and the difference was statistically significant(t=4.963、2.061,P＜0.05).The anxiety and depression emotion scores after intervention in the intervention group were [(3.47 ±1.07) and (0.30 ± 0.46)],before intervention were (7.74 ± 4.00) and(7.25 ± 4.50),The difference was statistically significant(P＜0.05),Moreover the anxiety and depression emotion scores after intervention in the intervention group were lower tghan those in the control group with statistical difference(t=3.300、2.054,P＜0.05).Conclusion The intervention measures based on TTM has significant advantage for controlling the risk factors of pre-diabetes and preventing diabetes than the conventional health education.

Objective To investigate the knowledge and influencing factors of diabetes in middle-aged and elderly patients with prediabetes, and to provide evidence for public education in those patients. Methods According to convenient sampling, the questionnaire survey was conducted in 234 middle-aged and elderly patients with prediabetes who had a physical examination in a class Ⅲ grade A hospital in Zhengzhou from July to December 2014.Results There were significant differences in knowledge points of diabetes, diet dimension and total points in middle-aged patients compared with elderly patients (P<0.05), however, there was no significant difference in risk factors, treatment and exercise knowledge dimension (P>0.05). The multivariable linear regression analysis showed that the main factors for knowledge were marital status and educational level in middle-aged participants, and educational level and family history of diabetes in elderly participants.Conclusions The knowledge of diabetes should be strengthened in middle-aged patients with prediabetes who have low education level and no spouse, and in elderly patients with low education level and no family history of diabetes.

Objective To investigate the possible role of high mobility group box 1 protein (HMGB1) and its advanced gly‐cation end products receptor (RAGE) in the pathogenesis of systemic lupus erythematosus (SLE) .Methods The enzyme‐linked immunosorbent assay (ELISA) was used to determine the level of plasma HMGB1 in 52 cases of SLE (SLE group) and 40 healthy females undergoing physical examination (HC group) ,at the same time real time quantitative polymerase chain reaction (RT‐qPCR) was employed to detect the expression of HMGB1 and RAGE mRNA in peripheral blood mononuclear cells (PBMCs) .The correlation between plasma HMGB1 ,PBMCs HMGB1 and RAGE mRNA levels with clinical indicators was analyzed .Results The levels of plasma HMGB1 ,PBMCs HMGB1 mRNA in the SLE group were significantly higher than those in the HC group ,the differences were statistically significant (P< 0 .05) ,while the level of PBMCs RAGE mRNA had no statistical difference (P>0 .05);the Spearman correlation analysis showed that the level of plasma HMGB1 was positively correlated with antinuclear anti‐bodies titers and SLEDAI score in the SLE patients (P<0 .01) ,while had no obvious correlation with the other clinical and labora‐tory indicators(P>0 .05);the HMGB1 mRNA expression level was positively correlated with the RAGE mRNA expression level and SLEDAI scores(P<0 .01 ,P<0 .05) ,and had no obvious correlation with other clinical and laboratory indicators (P>0 .05) . Conclusion The abnormal expression of plasma HMGB1 and PBMCs HMGB1 mRNA in SLE patients prompts that which might be involved in the occurrence and development of SLE ,might participate in the immune and inflammatory regulation of SLE .