Objective To understand the prevalence and risk factors of hyperuricemia in electronics factory workers in Wuhan, and to provide evidence for the health protection of electronics factory workers. Methods A total of 1 415 employees in an electronics factory in Wuhan were selected as the research subjects, and the physical examination and determination of various biochemical indicators, as well as questionnaire survey were carried out. Results The detection rate of hyperuricemia among workers in the electronics factory in Wuhan was 32.43%, with 36.33% for men and 14.11% for women, and the difference was statistically significant ( χ²＝46.077，P＜0.001). The detection rate of hyperuricemia was the highest (33.77%) among those with university or college education, followed by graduate students and above (31.50%). Compared with subjects with good lifestyle habits, people with drinking habits had higher hyperuricemia detection rate (49.38%), and the difference was statistically significant (P =0.001). The detection rates of hyperuricemia in those with central obesity and elevated alanine aminotransferase were 48.23% and 61.29%, respectively, which were significantly higher than those in the subjects without the above diseases (26.91% and 27.21%, respectively), and the differences were statistically significant (P <0.001). Obese people had the highest detection rate of hyperuricemia (66.95%), followed by overweight people (43.75%), and the difference was statistically significant (P <0.001). Multivariate logistic analysis showed that alcohol drinking (OR=1.836, 95% CI=1.139-2.961, P =0.013) and body mass index ≥ 24 kg/m² (OR=2.175, 95% CI=1.686 -2.806, P <0.001) were risk factors for hyperuricemia in electronic factory workers. Elevated alanine aminotransferase (ALT) was significantly correlated with hyperuricemia (OR=2.964, 95%CI=2.146-4.095 , P <0.001). Female gender was a protective factor for hyperuricemia in workers in the electronics factory (OR=0.441, 95%CI=0.297-0.653 , P <0.001). Conclusion The detection rate of hyperuricemia among workers in an electronics factory in Wuhan is high, and the detection rate of hyperuricemia in men is higher than that in women. Alcohol consumption, overweight and obesity will increase the risk of hyperuricemia. Elevated ALT is associated with hyperuricemia. Maintaining an ideal body mass index and establishing a good lifestyle play an important role in preventing hyperuricemia.

Objective To explore and organize the standards of rehabilitation big data. Methods The connotation and extension of rehabilitation big data were discussed based on International Classification of Functioning,Disability and Health(ICF)framework.Referring to the documents of Guidance on the analysis and use of routine health information systems rehabilitation module,Rehabilitation in health systems:guide for action,Rehabilitation indicator menu:a tool accompanying the Framework for Rehabilitation Monitoring and Evaluation(FRAME),and Data quality assurance.Module 1.Framework and metrics,the sources,patterns,clas-sification systems and coding standards were discussed under the ICF theory,and the metadata standards were ex-plored.The application and management of rehabilitation big data standards were discussed according to Nation-al Health Medical Big Data Standards,Security and Service Management Measures(Trial). Results The rehabilitation big data included rehabilitation service data and personal health data,coming from population-based and institution-based data,covering macro,meso and micro levels.The pattern of rehabilitation data flow corresponded to the interaction and source of the entire process of rehabilitation service,to organize and manage rehabilitation big data.The classification system included object classes,object feature classes,participant role classes,relationship classes,and activity and event classes,each of which was further subdivided into subcatego-ries to cover the entities,features,roles,relationships and activities involved in the rehabilitation process.The metadata standards included three levels:core,general and specialized metadata,ensuring standardized manage-ment,sharing and interoperability of rehabilitation data. Conclusion This study delves into the standardization of rehabilitation big data based on the ICF framework,encompass-ing multiple dimensions such as the connotation and extension of rehabilitation big data,data sources,data mod-els,classification systems,coding standards,and metadata standards.The construction of a rehabilitation big data standard system involves standardization efforts in various aspects,including data content,data structure,data coding,and metadata.These standards not only adhere to the norms of data flow,but also take into account the complexity of data composition.This system aligns with health big data standards,ensuring data consistency,ac-curacy,and interoperability,thus providing a foundation for effective exchange and comparison between different data sources.The establishment of a rehabilitation big data standard system not only ensures the standardized pro-cessing of rehabilitation big data,but also lays a solid foundation for effective exchange between rehabilitation big data and other health data,as well as for the widespread application of rehabilitation big data.This provides crucial support for improving the quality and efficiency of rehabilitation services,ensuring that patients receive appropriate care,rehabilitation and support.It holds significant theoretical and practical implications for promot-ing the development of the rehabilitation field.

Apelin is an adipokine family which includes Apelin-13,Apelin-36 and other isoforms and regulates phys-iological functions by immunomodulation,oxidative stress,glycolipid metabolism,and apoptosis and so on.Apelin is closely related to polycystic ovary syndrome,ovarian cancer and other diseases of the female reproductive system so it is expected to be new target molecules and may orient the development of research and clinical treatment.

Objective : To investigate the effect of paederosidic acid methyl ester (PAME) on postoperative learning and memory impairment in mice and its mechanism. Methods : C57BL/6J male mice were randomly divided into Sham group , operation group , operation + PAME group ( PAME group) , operation + NADPH oxidase 4(Nox4) adeno⁃associated virus overexpression group (Nox4 overexpression group) , operation + Nox4 adeno⁃associated virus no⁃laden group ( AAV no⁃load group) , and operation + PAME + Nox4 overexpression group ( PN group) . Exploratory laparotomy was performed. PAME(20 mg/kg) was administered by continuous gavage for 7 days after operation , and adeno⁃associated virus was injected into the hippocampus 28 days before operation. Morris water maze test and conditioned fear test were used to detect the learning and memory ability of mice. The expression of Nox4 protein was observed by immunofluorescence. The protein expressions of Nox4 , long chain acyl CoA synthetase 4 (ACSL4) and glutathione peroxidase 4 (GPX4) were detected by Western blot. Reactive oxygen species (ROS) and iron content were determined by spectrophotometry. Results : Compared with the Sham group , the learning and memory ability of the operation group , the Nox4 overexpression group and the AAV no⁃load group decreased , the protein expression of Nox4 and ACSL4 increased , the protein expression of GPX4 decreased , and the ROS and iron content increased. After PAME treatment , the postoperative learning and memory ability of mice was improved , and Nox4 and ferroptosis in hippocampal neurons were alleviated. Conclusion Conclusion PAME treatment can improve the learning and memory ability of postoperative mice , which may be related to the inhibition of hippocampal Nox4⁃mediated ferroptosis.

Nonalcoholic fatty liver disease (NAFLD) is the most common chronic liver disease worldwide. Fat accumulation "sensitizes" the liver to insult and leads to nonalcoholic steatohepatitis (NASH). G protein-coupled receptor 35 (GPR35) is involved in metabolic stresses, but its role in NAFLD is unknown. We report that hepatocyte GPR35 mitigates NASH by regulating hepatic cholesterol homeostasis. Specifically, we found that GPR35 overexpression in hepatocytes protected against high-fat/cholesterol/fructose (HFCF) diet-induced steatohepatitis, whereas loss of GPR35 had the opposite effect. Administration of the GPR35 agonist kynurenic acid (Kyna) suppressed HFCF diet-induced steatohepatitis in mice. Kyna/GPR35 induced expression of StAR-related lipid transfer protein 4 (STARD4) through the ERK1/2 signaling pathway, ultimately resulting in hepatic cholesterol esterification and bile acid synthesis (BAS). The overexpression of STARD4 increased the expression of the BAS rate-limiting enzymes cytochrome P450 family 7 subfamily A member 1 (CYP7A1) and CYP8B1, promoting the conversion of cholesterol to bile acid. The protective effect induced by GPR35 overexpression in hepatocytes disappeared in hepatocyte STARD4-knockdown mice. STARD4 overexpression in hepatocytes reversed the aggravation of HFCF diet-induced steatohepatitis caused by the loss of GPR35 expression in hepatocytes in mice. Our findings indicate that the GPR35-STARD4 axis is a promising therapeutic target for NAFLD.

Presynaptic dopaminergic PET imaging is a useful method for the diagnosis of parkinsonism. Based on the expert consensus on operation and clinical application of dopamine transporter brain PET imaging technology published in 2020, this paper further recommends the relevant elements of result interpretation of presynaptic dopaminergic PET imaging.

Due to the availability of 18F-FDG in PET centers, this article aims to advocate and promote the standardization of 18F-FDG PET brain imaging in dementia in order to improve the reliability, repeatability and comparison of the imaging process and results. It is also provided to guide the PET imaging operation standard and to give suggestions on image interpretation.

Objective:To explore the effect of low frequency magnetic stimulation on myelin and inflammation in the callosum of demyelinated mice.Methods:Thirty-six 6 to 8-week-old male C57BL/6J mice were randomly divided into a control group, a cuprizone (CPZ) group and a magnetic therapy group. The CPZ group and the magnetic therapy group had demyelination induced by feeding a mixed diet containing 0.3% CPZ for 6 weeks, while the control group was given conventional food. The magnetic therapy group was given 50Hz 10mT magnetic stimulation during the 6 weeks for 20min daily, 5 days a week. The body mass of each mouse was observed every 7 days. At the end of the 6th week elevated cross maze experiments were conducted to observe any anxiety state. The myelin sheath in the corpus callosum was observed using Luxol fast blue staining and myelin basic protein (MBP) immunohistochemistry Tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β) in the corpus callosum were detected using enzyme-linked immunosorbent assays.Results:After the 6 weeks of treatment, the average body mass of the mice in the magnetic therapy group had improved significantly compared with the CPZ group. The CPZ group′s times in the elevated cross maze experiments were significantly shorter than those of the control group and also shorter than those of the magnetic therapy group. The Luxol staining showed significant myelin loss in the corpus callosum of the CPZ group, but compared with the CPZ group the average loss of myelin in the magnetic therapy group was significantly less. This was further confirmed by the MBP immunohistochemistry. Compared with the control group, the average expression of MBP in the CPZ group was significantly reduced, while in the magnetic therapy group it was significantly increased. Compared with the control group, the average TNF-α and IL-1β levels in the corpus callosum of the CPZ group increased significantly, but compared with the CPZ group the average levels in the magnetic therapy group had decreased significantly.Conclusions:Low frequency magnetic stimulation improves the body weight and anxiety state of mice. That is probably related to less myelin loss and inhibited inflammatory response in the corpus callosum.

Objective:To estimate the effect of comorbid gestational diabetes mellitus (GDM) and depression on glucose metabolism and neonatal morphology.Methods:From March 2015 to October 2018, recruited 18 to 28 weeks pregnant women who met the criteria in the Hefei First People′s Hospital or First Affiliated Hospital of Anhui Medical University or Anhui Maternal and Child Health Hospital, including a total of 4 380 study subjects, of which the birth outcome information of 3 827 newborns were collected. The self-made questionnaire "Maternal Health Questionnaire for Hefei City" and Edinburgh Postpartum Depression Scale were used to obtain basic demographic characteristics and emotional state of depression. Data from the 75-g oral-glucose-tolerance test were obtained at 24-28 weeks of gestation. After delivery, delivery outcome information were collected from the hospital medical records. Covariance analysis was used to analyze the differences in glucose metabolism indicators and neonatal outcome indicators in pregnant women with different GDM and depression status. Multiple logistic regression model was used to analyze the correlation between GDM and depression, with different groups of GDM and depression status (no GDM and depression, simple depression, simple GDM, comorbid GDM and depression)as independent variables and whether they were large for gestational age as dependent variables. The interaction between GDM and depression was also analyzed.Results:The 4 380 pregnant women were (28.8±4.2) years old. The incidence of GDM was 19.5% (852/4 380), and the detection rates of depression in the second and third trimesters were 12.1% (526/4 380) and 12.3% (536/4 367). PG-1h and AUC in the comorbid GDM and depression group were significantly higher than those in the group with no GDM and depression ( P<0.05) and the single GDM group ( P<0.05). After adjusting for factors such as the childbirth age, education level, family′s main economic income, BMI before pregnancy, parity, number of physical activities, and weight gain during pregnancy, compared with the group with no GDM and depression, the RR(95% CI) of LGA occurred in the single depression group, the single GDM group and the comorbid group were 1.31(0.89-1.91), 1.51(1.14-2.00) and 2.43(1.29-4.57), respectively. Further analysis showed that the association between GDM pregnant women with depression and newborn LGA ［ RR (95% CI): 2.12 (1.01-4.49)］ was stronger than that between GDM pregnant women without depression and newborn LGA ［ RR (95% CI): 1.50 (1.12-1.99)］, the P interaction value was<0.05. Conclusion:The status of comorbid GDM and depression can impair glucose metabolism and increase the risk of LGA.

Objective:To estimate the effect of comorbid gestational diabetes mellitus (GDM) and depression on glucose metabolism and neonatal morphology.Methods:From March 2015 to October 2018, recruited 18 to 28 weeks pregnant women who met the criteria in the Hefei First People′s Hospital or First Affiliated Hospital of Anhui Medical University or Anhui Maternal and Child Health Hospital, including a total of 4 380 study subjects, of which the birth outcome information of 3 827 newborns were collected. The self-made questionnaire "Maternal Health Questionnaire for Hefei City" and Edinburgh Postpartum Depression Scale were used to obtain basic demographic characteristics and emotional state of depression. Data from the 75-g oral-glucose-tolerance test were obtained at 24-28 weeks of gestation. After delivery, delivery outcome information were collected from the hospital medical records. Covariance analysis was used to analyze the differences in glucose metabolism indicators and neonatal outcome indicators in pregnant women with different GDM and depression status. Multiple logistic regression model was used to analyze the correlation between GDM and depression, with different groups of GDM and depression status (no GDM and depression, simple depression, simple GDM, comorbid GDM and depression)as independent variables and whether they were large for gestational age as dependent variables. The interaction between GDM and depression was also analyzed.Results:The 4 380 pregnant women were (28.8±4.2) years old. The incidence of GDM was 19.5% (852/4 380), and the detection rates of depression in the second and third trimesters were 12.1% (526/4 380) and 12.3% (536/4 367). PG-1h and AUC in the comorbid GDM and depression group were significantly higher than those in the group with no GDM and depression ( P<0.05) and the single GDM group ( P<0.05). After adjusting for factors such as the childbirth age, education level, family′s main economic income, BMI before pregnancy, parity, number of physical activities, and weight gain during pregnancy, compared with the group with no GDM and depression, the RR(95% CI) of LGA occurred in the single depression group, the single GDM group and the comorbid group were 1.31(0.89-1.91), 1.51(1.14-2.00) and 2.43(1.29-4.57), respectively. Further analysis showed that the association between GDM pregnant women with depression and newborn LGA ［ RR (95% CI): 2.12 (1.01-4.49)］ was stronger than that between GDM pregnant women without depression and newborn LGA ［ RR (95% CI): 1.50 (1.12-1.99)］, the P interaction value was<0.05. Conclusion:The status of comorbid GDM and depression can impair glucose metabolism and increase the risk of LGA.