OBJECTIVE: To reveal the effects and potential mechanisms by which synaptic vesicle glycoprotein 2A (SV2A) influences the distribution of amyloid precursor protein (APP) in the trans-Golgi network (TGN), endolysosomal system, and cell membranes and to reveal the effects of SV2A on APP amyloid degradation. METHODS: Colocalization analysis of APP with specific tagged proteins in the TGN, ensolysosomal system, and cell membrane was performed to explore the effects of SV2A on the intracellular transport of APP. APP, β-site amyloid precursor protein cleaving enzyme 1 (BACE1) expressions, and APP cleavage products levels were investigated to observe the effects of SV2A on APP amyloidogenic processing. RESULTS: APP localization was reduced in the TGN, early endosomes, late endosomes, and lysosomes, whereas it was increased in the recycling endosomes and cell membrane of SV2A-overexpressed neurons. Moreover, Arl5b (ADP-ribosylation factor 5b), a protein responsible for transporting APP from the TGN to early endosomes, was upregulated by SV2A. SV2A overexpression also decreased APP transport from the cell membrane to early endosomes by downregulating APP endocytosis. In addition, products of APP amyloid degradation, including sAPPβ, Aβ _1-42, and Aβ _1-40, were decreased in SV2A-overexpressed cells. CONCLUSION These results demonstrated that SV2A promotes APP transport from the TGN to early endosomes by upregulating Arl5b and promoting APP transport from early endosomes to recycling endosomes-cell membrane pathway, which slows APP amyloid degradation.
Amyloid beta-Protein Precursor/genetics* ; Membrane Glycoproteins/genetics* ; Animals ; Protein Transport ; Nerve Tissue Proteins/genetics* ; Humans ; Mice ; Endosomes/metabolism* ; trans-Golgi Network/metabolism*

OBJECTIVE: To explore the epidemiological characteristics of knee osteoarthritis (KOA) among the elderly in the community, and its correlation with bone mass loss. METHODS: A cross-sectional study was conducted on elderly community population over 50 year old from 12 community health service centers in Zhejiang province. Their gender, age, body mass index (BMI), T value and KOA diagnosis were collected using face to face questionnaire survey. Univariate regression was used to analyze the influence of age, gender, BMI and bone loss on KOA. Logistic multivariate regression model was used to analyze the independent effect of bone mass loss on KOA. RESULTS: Among 4 173 subjects in this study, 1 710 of them were had a KOA. The prevalence rate was 40.9%. The mean age, the proportion of females and the mean BMI in KOA patients were (65.5±3.8) years old, 67.7%(1 158/1 710) and(24.59±1.28) kg·m^-2, respectively, which were significantly higher than (58.5±3.2) years old, 51.3%(1 263/2 463), and (23.48±1.25) kg·m^-2 in non-KOA subjects (P<0.001). In the population aged from 60 to 69 years old, the influence of osteopenia and osteoporosis on the prevalence of KOA was[OR=1.21, 95%CI(1.00, 1.46), P=0.053 2], [OR=1.42, 95%CI(1.14, 1.78), P=0.002 2]. The influence of male and female osteoporosis on the prevalence of KOA was [OR=1.52, 95%CI(1.16, 1.99), P=0.002 7] and [OR=1.87, 95%CI(1.51, 2.32), P<0.000 1], respectively. In the population of 24 kg·m^-2≤BMI<28 kg·m^-2, the influence of osteopenia and osteoporosis on the prevalence of KOA was [OR=1.47, 95%CI(1.21, 1.80), P=0.000 1], [OR=2.69, 95%CI(2.11, 3.42), P<0.000 1], respectively. After controlling the confounding factors of age, gender and BMI, compared with people with normal bone mass, the effect of osteopenia on the prevalence of KOA was [OR=1.34, 95%CI(1.08, 1.67), P=0.009 2], and the effect of osteoporosis on the prevalence of KOA was [OR=1.38, 95%CI(1.06, 1.79), P=0.017 9]. CONCLUSION Elderly overweight women are more likely to develop KOA. Bone mass loss is an independent risk factor for KOA, which will significantly increase the prevalence of KOA in people overweight or aged 60 to 69 years old.
Humans ; Female ; Male ; Aged ; Osteoarthritis, Knee/etiology* ; Middle Aged ; Cross-Sectional Studies ; Bone Density ; Aged, 80 and over ; Incidence ; Body Mass Index ; China/epidemiology* ; Osteoporosis/epidemiology*

PURPOSE: To judge the injury mode and injury severity of the real human body through the measured values of anthropomorphic test devices (ATD) injury indices, the mapping relationship of lumbar injury between ATD and human body model (HBM) was explored. METHODS: Through the ATD model and HBM simulation, the mapping relationship of lumbar injury between the 2 subjects was explored. The sled environment consisted of a semi-rigid seat with an adjustable seatback angle and a 3-point seat belt system with a seatback-mounted D-ring. Three seatback recline states of 25°, 45°, and 65° were designed, and the seat pan angle was maintained at 15°. A 23 g, 47 km/h pulse was used. The validity of the finite element model of the sled was verified by the comparison of ATD simulation and test results. ATD model was the test device for human occupant restraint for autonomous vehicles (THOR-AV) dummy model and HBM was the total human model for safety (THUMS) v6.1. The posture of the 2 models was adjusted to adapt to the 3 seat states. The lumbar response of THOR-AV and the mechanical and biomechanical data on L1 - L5 vertebrae of THUMS were output, and the response relationship between THOR-AV and THUMS was descriptive statistically analyzed. RESULTS: Both THOR-AV and THUMS were submarined in the 65° seatback angle case. With the change of seatback angle, the lumbar spine axial compression force (F_z) of THOR-AV and THUMS changed in the similar trend. The maximum F_z ratio of THOR-AV to THUMS at 25° and 45° seatback angle cases were 1.6 and 1.7. The flexion moment (M_y) and the time when the maximum M_y occurred in the 2 subjects were very different. In particular, the form of moment experienced by the L1 - L5 vertebrae of THUMS also changed. The changing trend of M_y measured by THOR-AV over time can reflect the changing trend of maximum stress of L1 and L2 of THUMS. CONCLUSION The F_z of ATD and HBM presents a certain proportional relationship, and there is a mapping relationship between the 2 subjects on F_z. The mapping function can be further clarified by applying more pulses and adopting more seatback angles. It is difficult to map M_y directly because they are very different in ATD and HBM. The M_y of ATD and stress of HBM lumbar showed a similar change trend over time, and there may be a hidden mapping relationship.
Humans ; Lumbar Vertebrae/injuries* ; Finite Element Analysis ; Biomechanical Phenomena ; Manikins ; Spinal Injuries/physiopathology*

Objective:To analyze the prospective associations between liver biomarkers and mortality among Chinese middle-aged and elderly populations and to evaluate the mortality risk predictive value.Methods:A total of 22 758 participants from the 3 rd resurvey of the China Kadoorie Biobank were included. Cox proportional hazard models were used to analyze the prospective associations of 5 liver biomarkers with mortality. These liver biomarkers included two liver imaging biomarkers (liver fat attenuation parameter, liver stiffness measurement) and three serum liver enzyme biomarkers [gamma-glutamyl transferase (GGT), ALT, and AST]. Restricted cubic spline was used to assess the nonlinear associations between biomarkers and mortality. The area used the receiver operating characteristic curve (AUC) to evaluate the predictive ability of the models after incorporating liver biomarkers into traditional prediction models for mortality. Results:The mean age of the participants was (65.2±9.1) years, with a median follow-up of 1.5 years, during which 307 deaths occurred. Compared to individuals without hepatic steatosis, those with severe hepatic steatosis had a 79% higher risk of mortality, with a HR of 1.79 (95% CI: 1.06-3.03). Compared to individuals without hepatic fibrosis, those with advanced fibrosis and cirrhosis had higher mortality risks of 48% and 91%, respectively (both P<0.05). For each standard deviation increase in GGT, the mortality risk increased by 10% ( HR=1.10, 95% CI: 1.05-1.15), with the positive association plateauing at higher GGT levels. AST exhibited a U-shaped association with mortality risk. The AUC of the prediction model adding liver biomarkers into traditional prediction factors was 0.718 (95% CI: 0.679-0.757), with an increase of 0.030 ( P<0.001) compared with the traditional model. Conclusions:Severe hepatic steatosis, higher levels of hepatic fibrosis, and elevated GGT levels are significantly associated with higher mortality risk. AST shows a U-shaped nonlinear association with mortality risk. Incorporating liver biomarkers into traditional risk prediction models enhance the ability to predict mortality.

Objective:To investigate the prospective associations between plasma metabolites and the risks of all-cause and cause-specific mortality among Chinese adults.Methods:This study analyzed plasma metabolomics data from 2 183 healthy adults in the China Kadoorie Biobank (CKB), measured using targeted mass spectrometry. Cox proportional hazards regression models were used to examine the associations between 630 metabolites and the risk of all-cause mortality. Cause-specific hazard regression models evaluated the associations between metabolites and cardiovascular disease (CVD) risks, cancer, and other-cause mortality. Stepwise regression was used to identify key metabolites independently associated with all-cause mortality, and the area under the receiver operating characteristic curve (AUC) was calculated to assess the improvement in predictive performance when these metabolites were added to traditional risk prediction models.Results:The mean age of the participants was (53.2±9.8) years, 65.1% of whom were female. During a median follow-up of 14.5 years, 231 deaths occurred. A total of 44 metabolites were significantly associated with the risk of all-cause mortality [false discovery rate (FDR)-adjusted P<0.05], primarily including triglycerides, ceramides, and amino acids. Additionally, 29 and 15 metabolites were found to be associated with cancer and other-cause mortality, respectively, but no metabolites were significantly associated with CVD mortality after FDR corrections. Adding 14 metabolites independently associated with all-cause mortality into the traditional prediction model significantly improved its predictive performance. Specifically, incorporating metabolites into the traditional model, which already included laboratory biomarkers, increased the AUC to 0.798 (95% CI: 0.755-0.843), an improvement of 0.088 compared to the traditional model ( P<0.001). Conclusions:Multiple metabolites are significantly associated with mortality risk and can substantially improve the accuracy of mortality risk prediction models. These findings provide new insights into the physiological mechanisms of aging and offer valuable clues for personalized health risk assessment.

Objective:To summarize the clinical features, laboratory findings, treatment and prognosis of children confirmed as Mycoplasma pneumoniae-induced rash and mucositis (MIRM) in children. Methods:This retrospective study concluded 6 children diagnosed as MIRM in Department of Gastroenterology and Infectious Diseases, Shanghai Children′s Hospital, School of Medicine, Shanghai Jiao Tong University from August 2023 to April 2024. This paper described the characteristics of MIRM and analyzed the therapeutic strategy and prognosis.Results:A total of 6 children were diagnosed as MIRM including 2 boys and 4 girls with an age of onset was 6.4 (3.1, 7.5) years. Among the 6 patients, 4 patients had oral mucosal involvement among whom 2 showed crusting of the lips. Four patients had ocular involvement manifesting as conjunctival congestion and increased secretion. All patients presented with skin lesions, manifesting as target-shaped damage in 4 cases, herpes herpetiformis in 1 case and purpura-like rash in 1 case. Serological tests for Mycoplasma pneumoniae IgM and Mycoplasma pneumoniae nucleic acid test were positive in all 6 cases. Two cases received intravenous immunogloblin infusion combined with methylprednisolone, monotherapy of methylprednisolone in 4 cases. The course of glucocorticoids was 1-7 weeks, and the initial dose was 2-4 mg/(kg·d), which was gradually reduced according to the rash. The children were followed up for 3 to 9 months, no case suffered from long term ocular or cutaneous complications or recurrence of rash. All cases had good prognosis. Conclusions:Children diagnosed as MIRM present with mild symptoms and usually have good prognosis with early identification and appropriate intervention. Individualized therapy should be applied based on the severity of skin involvement.

Objective:To compare the clinical effect of deproteinized calf blood extract (DCBE) eye drops and 0.3% sodium hyaluronate eye drops in the treatment of diabetic cataract patients with dry eye after phacoemulsification.Methods:A randomized controlled study was performed.A total of 112 patients (116 eyes) with type Ⅱ diabetes combined with cataract and dry eye who underwent phacoemulsification in the Eye Hospital of Shandong First Medical University from January 2022 to September 2022 were selected.Patients were divided into DCBE group (49 cases, 51 eyes) and sodium hyaluronate group (63 cases, 65 eyes) by the random number table method.Patients received DCBE eye drops and 0.3% sodium hyaluronate eye drops after surgery according to grouping.Preoperative and postoperative 1 week, 1 month subjective symptoms of dry eye, corneal edema grade, tear film breakup time (TBUT), corneal fluorescein staining (CFS) and Schirmer Ⅰ test (SⅠt) results were recorded and compared.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Eye Hospital of Shandong First Medical University (No.SDSYKYY202112-1).Written informed consent was obtained from each subject.Results:There were significant differences in dry eye symptom score, TBUT and SⅠt at different time points between before and after surgery ( Ftime=323.202, 102.771, 151.876; all P<0.001).Dry eye symptom score decreased and SⅠt increased in the two groups at 1 week and 1 month after surgery compared with before surgery, and the differences were statistically significant (all P<0.017).TBUT was longer at 1 week and 1 month after surgery compared with before surgery in the DCBE group, and TBUT at 1 month after surgery was longer than that before surgery in the sodium hyaluronate group, and the differences were statistically significant (all P<0.017).There were statistically significant differences in CFS scores between the two groups at different time points before and after surgery ( Fgroup=5.391, P=0.022; Ftime=142.402, P<0.001).The CFS scores of both groups at 1 week and 1 month after surgery were lower than those before surgery, and CFS scores in the DCBE group were lower than those in the sodium hyaluronate group, with statistically significant differences (all P<0.017).One week after surgery, the proportion of patients with corneal edema in the DCBE group was 5.9%(3/51), which was significantly lower than 20.0%(13/65) in the sodium hyaluronate group ( χ2=4.790, P=0.029). Conclusions:DCBE eye drops can promote corneal repair, stabilize tear film and improve dry eye discomfort in early postoperative period in diabetic cataract, and its overall effect is better than 0.3% sodium hyaluronate eye drops.

Objective:To compare the clinical effect of deproteinized calf blood extract (DCBE) eye drops and 0.3% sodium hyaluronate eye drops in the treatment of diabetic cataract patients with dry eye after phacoemulsification.Methods:A randomized controlled study was performed.A total of 112 patients (116 eyes) with type Ⅱ diabetes combined with cataract and dry eye who underwent phacoemulsification in the Eye Hospital of Shandong First Medical University from January 2022 to September 2022 were selected.Patients were divided into DCBE group (49 cases, 51 eyes) and sodium hyaluronate group (63 cases, 65 eyes) by the random number table method.Patients received DCBE eye drops and 0.3% sodium hyaluronate eye drops after surgery according to grouping.Preoperative and postoperative 1 week, 1 month subjective symptoms of dry eye, corneal edema grade, tear film breakup time (TBUT), corneal fluorescein staining (CFS) and Schirmer Ⅰ test (SⅠt) results were recorded and compared.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Eye Hospital of Shandong First Medical University (No.SDSYKYY202112-1).Written informed consent was obtained from each subject.Results:There were significant differences in dry eye symptom score, TBUT and SⅠt at different time points between before and after surgery ( Ftime=323.202, 102.771, 151.876; all P<0.001).Dry eye symptom score decreased and SⅠt increased in the two groups at 1 week and 1 month after surgery compared with before surgery, and the differences were statistically significant (all P<0.017).TBUT was longer at 1 week and 1 month after surgery compared with before surgery in the DCBE group, and TBUT at 1 month after surgery was longer than that before surgery in the sodium hyaluronate group, and the differences were statistically significant (all P<0.017).There were statistically significant differences in CFS scores between the two groups at different time points before and after surgery ( Fgroup=5.391, P=0.022; Ftime=142.402, P<0.001).The CFS scores of both groups at 1 week and 1 month after surgery were lower than those before surgery, and CFS scores in the DCBE group were lower than those in the sodium hyaluronate group, with statistically significant differences (all P<0.017).One week after surgery, the proportion of patients with corneal edema in the DCBE group was 5.9%(3/51), which was significantly lower than 20.0%(13/65) in the sodium hyaluronate group ( χ2=4.790, P=0.029). Conclusions:DCBE eye drops can promote corneal repair, stabilize tear film and improve dry eye discomfort in early postoperative period in diabetic cataract, and its overall effect is better than 0.3% sodium hyaluronate eye drops.

Objective:To analyze the prospective associations between liver biomarkers and mortality among Chinese middle-aged and elderly populations and to evaluate the mortality risk predictive value.Methods:A total of 22 758 participants from the 3 rd resurvey of the China Kadoorie Biobank were included. Cox proportional hazard models were used to analyze the prospective associations of 5 liver biomarkers with mortality. These liver biomarkers included two liver imaging biomarkers (liver fat attenuation parameter, liver stiffness measurement) and three serum liver enzyme biomarkers [gamma-glutamyl transferase (GGT), ALT, and AST]. Restricted cubic spline was used to assess the nonlinear associations between biomarkers and mortality. The area used the receiver operating characteristic curve (AUC) to evaluate the predictive ability of the models after incorporating liver biomarkers into traditional prediction models for mortality. Results:The mean age of the participants was (65.2±9.1) years, with a median follow-up of 1.5 years, during which 307 deaths occurred. Compared to individuals without hepatic steatosis, those with severe hepatic steatosis had a 79% higher risk of mortality, with a HR of 1.79 (95% CI: 1.06-3.03). Compared to individuals without hepatic fibrosis, those with advanced fibrosis and cirrhosis had higher mortality risks of 48% and 91%, respectively (both P<0.05). For each standard deviation increase in GGT, the mortality risk increased by 10% ( HR=1.10, 95% CI: 1.05-1.15), with the positive association plateauing at higher GGT levels. AST exhibited a U-shaped association with mortality risk. The AUC of the prediction model adding liver biomarkers into traditional prediction factors was 0.718 (95% CI: 0.679-0.757), with an increase of 0.030 ( P<0.001) compared with the traditional model. Conclusions:Severe hepatic steatosis, higher levels of hepatic fibrosis, and elevated GGT levels are significantly associated with higher mortality risk. AST shows a U-shaped nonlinear association with mortality risk. Incorporating liver biomarkers into traditional risk prediction models enhance the ability to predict mortality.

Objective:To investigate the prospective associations between plasma metabolites and the risks of all-cause and cause-specific mortality among Chinese adults.Methods:This study analyzed plasma metabolomics data from 2 183 healthy adults in the China Kadoorie Biobank (CKB), measured using targeted mass spectrometry. Cox proportional hazards regression models were used to examine the associations between 630 metabolites and the risk of all-cause mortality. Cause-specific hazard regression models evaluated the associations between metabolites and cardiovascular disease (CVD) risks, cancer, and other-cause mortality. Stepwise regression was used to identify key metabolites independently associated with all-cause mortality, and the area under the receiver operating characteristic curve (AUC) was calculated to assess the improvement in predictive performance when these metabolites were added to traditional risk prediction models.Results:The mean age of the participants was (53.2±9.8) years, 65.1% of whom were female. During a median follow-up of 14.5 years, 231 deaths occurred. A total of 44 metabolites were significantly associated with the risk of all-cause mortality [false discovery rate (FDR)-adjusted P<0.05], primarily including triglycerides, ceramides, and amino acids. Additionally, 29 and 15 metabolites were found to be associated with cancer and other-cause mortality, respectively, but no metabolites were significantly associated with CVD mortality after FDR corrections. Adding 14 metabolites independently associated with all-cause mortality into the traditional prediction model significantly improved its predictive performance. Specifically, incorporating metabolites into the traditional model, which already included laboratory biomarkers, increased the AUC to 0.798 (95% CI: 0.755-0.843), an improvement of 0.088 compared to the traditional model ( P<0.001). Conclusions:Multiple metabolites are significantly associated with mortality risk and can substantially improve the accuracy of mortality risk prediction models. These findings provide new insights into the physiological mechanisms of aging and offer valuable clues for personalized health risk assessment.