Background Lung cancer, one of the most common malignant tumors worldwide, has long ranked first in cancer incidence and mortality, posing a severe challenge to public health systems. Objective To analyze the trends in incidence, mortality, and disability-adjusted life years (DALYs) of lung cancer among residents in Jing'an District, Shanghai, from 2002 to 2021, explore the impacts of population aging, population growth, and age-specific prevalence on disease burden, and provide a scientific basis for optimizing regional lung cancer prevention and control strategies. Methods Based on the cancer registration and cause-of-death surveillance data of registered residents in Jing'an District, Shanghai, from 2002 to 2021, Joinpoint regression models were used to analyze the annual change trends (APC) and average annual change trends (AAPC) of lung cancer incidence, mortality, DALY rate, and their age-standardized rates. Decomposition analysis was applied to quantify the contribution of population aging, population growth, and age-specific prevalence to changes in the number of new cases, deaths, and DALYs. Results From 2002 to 2021, the crude incidence rate of lung cancer in Jing'an District increased from 68.00 per 100000 to 144.36 per 100000 (AAPC=4.86%, P<0.001), and the age-standardized incidence rate rose from 43.09 per 100000 to 61.46 per 100000 (AAPC=2.89%, P<0.001). The growth rate of incidence was significantly higher in females (AAPC=6.73%) than in males (AAPC=3.62%). The crude mortality rate increased from 58.08 per 100000 to 66.11 per 100000 (AAPC=1.10%, P<0.001), while the age-standardized mortality rate decreased (AAPC=−1.54%, P<0.001). The crude DALY rate showed an upward trend (AAPC=0.94%, P=0.002), whereas the age-standardized DALY rate declined (AAPC=−1.63%, P<0.001). Significant differences were observed across genders and age groups: the mortality and DALY rates increased in males aged 60-64 years, while the fastest incidence growth occurred in females aged 45-64 years. The results of decomposition analysis indicated that the increase in new cases was primarily attributed to age-specific incidence (38.15%) and aging (37.31%); the growth in deaths and DALYs was driven by aging, while age-specific mortality and population growth showed offsetting effects. From 2002 to 2021, the probability of premature death from lung cancer among males (2.04%-2.52%) in Jing'an District showed no statistically significant trend (AAPC=−0.28%, P=0.440), while it presented a decreasing trend in the total population (1.37%-1.89%) and females (0.72%-1.26%) (AAPC=−0.80% and −2.23%, respectively; P=0.029 and <0.001, respectively). Conclusion From 2002 to 2021, the risk of lung cancer incidence in Jing’an District, Shanghai, continue to increase, with a disease burden exhibiting significant heterogeneity by gender and age: key features include a rapid increase in new cases and a trend toward younger onset among females, alongside rising mortality risk among males aged 60–64 years. Population aging and increasing age-specific incidence rates are primary drivers of the growing number of cases, while declining age-specific mortality rates mitigate the rise in mortality burden.

Objective:To investigate the clinical value of enhanced magnetic resonance imaging (MRI)-based deep learning model in preoperative prediction of proliferative hepatocellular carcinoma (HCC).Methods:The retrospective cohort study was conducted. The clinical data of 906 HCC patients who were admitted to The First Affiliated Hospital of Army Medical University and The Second Affiliated Hospital of Chongqing Medical University from May 2017 to October 2022 were collected. There were 769 males and 137 females, aged (53.2±10.9)years. Of the 906 patients, 815 cases who were admitted to The First Affiliated Hospital of Army Medical University were divided into the training set of 634 patients and the internal validation set of 181 patients using a random number table method with a ratio of 8:2, and 91 patients who were admitted to The Second Affiliated Hospital of Chongqing Medical University were divided into the external validation set. The training set was used to construct the prediction model, while the validation set was used to validate the prediction model. Observation indicators: (1) analysis of factors influencing the pathological classification of HCC patients; (2) deep learning imaging features of HCC patients; (3) evaluation of the efficacy of prediction model for proliferative HCC; (4) validation of the prediction model for proliferative HCC; (5) prognosis of HCC patients. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test. Comparison of count data between groups was conducted using the chi-square test. Multivariate analysis was conducted using the binary Logistic regression model. The model perfor-mance was evaluated through five-fold cross-validation, and receiver operating characteristic (ROC) curve was plotted to assess the diagnostic value of the model based on the area under curve (AUC), sensitivity, and specificity. The Delong test was used to compare the diagnostic performance of models. The Hosmer-Lemeshow test was employed to evaluate the calibration of models. The optimal cutoff value of the prediction model was determined by the maximum Youden index, with the value >0.175 indicating high-risk patients and value ≤0.175 indicating low-risk patients.The Kaplan-Meier method was used to calculate the survival rate and the Log-rank test was used for survival analysis. Results:(1) Analysis of factors influencing the pathological classification of HCC patients. Of 634 patients in the training set, there were 190 cases of proliferative HCC and 444 cases of non-proliferative HCC. Results of multivariate analysis showed that alpha fetoprotein (AFP) ≥400 μg/L and tumor diameter >5 cm were independent risk factors for pathological type of HCC as proli-ferative [ odds ratio=1.73, 1.88, 95% confidence interval ( CI) as 1.19-2.50, 1.30-2.71, P<0.05]. (2) Deep learning imaging features of HCC patients. In the training set of 634 patients, the probability predicted by MRI-based deep learning model was 84.8%(30.5%,95.4%) for proliferative HCC and 5.8%(3.2%,12.5%) for non-proliferative HCC, showing a significant difference between them ( Z=-16.01, P<0.05). (3) Evaluation of the efficacy of prediction model for proliferative HCC. In the training set, the AUC of clinical prediction model for proliferative HCC was 0.63(95% CI as 0.59-0.68, P<0.05), with sensitivity of 54.74% and specificity of 64.19%. The AUC of MRI-based deep learning prediction model was 0.90(95% CI as 0.87-0.93, P<0.05), with sensitivity of 80.53% and specificity of 86.94%. The AUC of combined MRI-based deep learning with clinical prediction model was 0.90 (95% CI as 0.87-0.93, P<0.05), with sensitivity of 83.16% and specificity of 86.04%. Results of Delong test showed that there was a significant difference between the combined MRI-based deep learning with clinical prediction model and the clinical prediction model ( P<0.05), and there was no signifi-cant difference between the combined MRI-based deep learning with clinical prediction model and the MRI-based deep learning prediction model ( P>0.05). Results of Hosmer-Lemeshow test showed good calibration for the clinical prediction model, the MRI-based deep learning prediction model and the combined MRI-based deep learning with clinical prediction model ( χ2=0.84, 6.38, 3.93, P>0.05), indicating that the predicted probabilities of these three prediction models matched the actual risk well. (4) Validation of the prediction model for proliferative HCC. Results of validation of the prediction model in internal validation set showed the AUC of MRI-based deep learning prediction model for proliferative HCC was 0.84(95% CI as 0.77-0.91, P<0.05), with sensitivity of 82.35% and specificity of 77.69%. Results of validation of the prediction model in external validation set showed the AUC of MRI-based deep learning prediction model for proliferative HCC was 0.81(95% CI as 0.71-0.92, P<0.05), with sensitivity of 70.00% and specificity of 81.69%. (5) Prognosis of HCC patients. Of the 906 patients, the 1-, 3-, and 5-year recurrence-free survival rates for 645 proliferative HCC patients were 56.9%, 31.4%, and 29.1%, respectively, and the 1-, 3-, and 5-year recurrence-free survival rates for 261 non-proliferative HCC patients were 88.8%, 68.6%, and 56.0%, respectively. There were significant differences in recurrence-free survival time between proliferative HCC and non-proliferative HCC patients of the training set, internal validation set and external validation set ( P<0.05). The 1-, 3-, 5-year recurrence-free survival rates for 331 high-risk HCC patients were 64.6%, 50.4%, 43.6%, versus 88.5%, 71.9%, 62.7% for 575 low-risk HCC patients. There were significant differences in recurrence-free survival time between high-risk HCC patients and low-risk HCC patients of the training set, internal validation set and external validation set ( P<0.05). Conclusion:The MRI-based deep learning model can effectively predict proliferative HCC and recurrence-free survival of patients before the surgery.

Objective To investigate the role of Glycoprotein non-metastatic melanoma protein B(GPNMB)in hypoxia-induced epithelial-mesenchymal transition(EMT)in human chorionic trophoblast HTR-8/SVneo cells.Methods HTR-8/SVneo cells were cultured in vitro to investigate the effect of hypoxia on GPNMB expression.The cells were transfected with either a GPNMB overexpression plasmid(pcDNA3.1-GPNMB),small interfering RNA targeting GPNMB(si-GPNMB-1/2),or their respective negative controls(pcDNA3.1-NC or si-NC),and were also treated with the autophagy agonist rapamycin(Rap).The experimental groups were categorized as follows:Normoxia,Hypoxia,Normoxia/Hypoxia+si-NC or si-GPNMB,Normoxia/Hypoxia+pcDNA3.1-NC or pcDNA3.1-GPNMB,Normoxia/Hypoxia+Rap,and Hypoxia+Rap+pcDNA3.1-NC or pcDNA3.1-GPNMB.GPNMB expression levels were evaluated using qRT-PCR,Western blotting,and immunofluorescence staining.The expression of autophagy-related proteins(LC3B Ⅱ/Ⅰ,p62)and epithelial-mesenchymal transition(EMT)markers(E-cadherin,N-cadherin)was analyzed by Western blotting.Cell migration and invasion capacities were assessed using wound healing and Transwell assays.Results Compared with the Normoxia group,the mRNA and protein levels of GPNMB were downregulated in the Hypoxia group.Additionally,the protein levels of p62 and N-cadherin were reduced,while LC3B Ⅱ/Ⅰ and E-cadherin expression levels were increased(P<0.05).Compared with the Hypoxia+si-NC group,the Hypoxia+si-GPNMB-2 group showed significantly decreased protein levels of p62 and N-cadherin,along with elevated levels of LC3B Ⅱ/Ⅰ and E-cadherin(P<0.05).Compared with the Hypoxia+pcDNA3.1-NC group,the Hypoxia+pcDNA3.1-GPNMB group exhibited opposite trends.Notably,compared with the Hypoxia group,the Hypoxia+Rap group showed increased LC3B Ⅱ/Ⅰ and E-cadherin levels,accompanied by reduced p62 and N-cadherin levels(P<0.05).However,compared with the Hypoxia+pcDNA3.1-GPNMB group,the Hypoxia+Rap+pcDNA3.1-GPNMB group attenuated the promoting effect of GPNMB overexpression on EMT in HTR-8/SVneo cells,as evidenced by decreased p62 and N-cadherin protein expression levels and increased LC3BⅡ/Ⅰ and E-cadherin protein expression levels(P<0.05).Conclusion In hypoxia-induced HTR-8/SVneo cells,GPNMB inhibits autophagy,promotes the epithelial-mesenchymal transition,and enhances cell migration and invasion.

A ketogenic diet(KD)refers to an eating pattern designed to achieve a low-calorie content,minimum carbohydrate intake,high-fat consumption,and standard protein levels.A ketogenic diet is used in clinical practice to treat conditions including heart disease,diabetes,obesity,autism,glioblastoma,and other cancers.Although a ketogenic diet has not been recommended for any neurological disorders except epilepsy,extensive recent research suggests that such a diet may have a neuroprotective effect and may thus represent a new dietary therapy for the treatment of Parkinson's disease(PD).In this review,we discuss in detail the mechanisms responsible for the neuroprotective effects of a ketogenic diet in Parkinson's disease,with the aim of providing references for future clinical and experimental studies.

Objective To observe the effect of Kaixin Powder on neuroinflammation in APP/PS1 mice by regulating WDFY1/TLR4/NF-κB signaling pathway;To explore its mechanism of intervening in Alzheimer disease(AD).Methods APP/PS1 transgenic mice were randomly divided into model group,donepezil hydrochloride group(0.66 mg/kg),and Kaixin Powder low-,medium-and high-dosage groups(1.625,3.25,6.5 g/kg),C57BL/6J mice were set as blank control group,with 8 mice in each group,and corresponding drug intervention was given to medicaction group for 24 weeks.Morris water maze,Y maze and novel object recognition experiments were conducted to assess the cognitive function and learning and memory abilities of mice,immunohistochemical staining was used to detect the deposition of β-amyloid protein(Aβ)in hippocampus,the morphology and Nissl bodies of hippocampal CA1 neurons were observed using HE staining and Nissl staining,ELISA was used to detect the serum contents of interleukin(IL)-6,IL-17,IL-1β and tumor necrosis factor-α(TNF-α),Western blot was used to detect the protein expression of calcium-binding adapter molecule 1(Iba1),glial fibrillary acidic protein(GFAP),WDFY1,Toll like receptor 4(TLR4),Toll like receptor associated molecule(TRAM),TIR domain adapter protein(TRIF),NF-κB p65 and p-NF-κB p65 in hippocampal tissue,RT-qPCR was used to detect the mRNA expression of WDFY1,TLR4,TRAM,TRIF and NF-κB p65 in hippocampal tissue.Results Compared with the blank control group,the model group had significantly prolonged escape latency,reduced platform crossings,decreased autonomous reaction alternation rate and relative recognition index(P<0.05,P<0.01),with increased deposition of Aβ in hippocampal tissue(P<0.01),damaged morphological structure of neurons,reduced number of neurons and Nissl bodies,the serum contents of IL-6,IL-17,IL-1β and TNF-α significantly increased,the expression of Iba1,GFAP,WDFY1,TLR4,TRAM,TRIF,p-NF-κB p65 protein and WDFY1,TLR4,TRAM,TRIF mRNA in hippocampal tissue significantly increased(P<0.01).Compared with the model group,Kaixin Powder groups and donepezil hydrochloride group had significantly shortened escape latency and increased platform crossings,autonomous reaction alternation rate and relative recognition index(P<0.05,P<0.01),hippocampal Aβ deposition reduced in Kaixin Powder medium-,high-dosage groups and donepezil hydrochloride group,the morphological structure of neurons recovered,the number of neurons and Nissl bodies increased,the serum contents of IL-6,IL-17,IL-1β and TNF-α significantly decreased(P<0.05,P<0.01),and the protein expression of Iba1,GFAP,WDFY1,TLR4,TRAM,TRIF,p-NF-κB p65 and the mRNA expressions of WDFY1,TLR4,TRAM and TRIF in hippocampal tissue significantly decreased(P<0.05,P<0.01).Conclusion Kaixin Powder can improve cognitive function and learning and memory abilities in AD model mice,alleviate hippocampal neuron damage and Aβ deposition,inhibit the activation of microglia and astrocytes,and thereby reduce serum inflammatory cytokine release.Its mechanism may be related to regulating the WDFY1/TLR4/NF-κB signaling pathway to inhibit neuroinflammation.

Objective To observe changes in the lactate(Lac)receptor,G protein-coupled receptor 81(GPR81),and apoptosis after hypoxic ischemic brain injury in newborn piglets,and to clarify the mechanism of Lac/GPR81 signal pathway on the cell apoptosis through the intervention of Lac.Methods Thirty newborn piglets were selected.A total of 21 newborn piglets were randomly divided into Sham and hypoxia-ischemia(HI)model groups,and the HI model group was subdivided into 0-2 h,2-6 h,6-12 h,12-24 h,24-48 h,and 48-72 h HI groups,with n=3 each group.Changes in GPR81 expression and apoptosis in the basal ganglia after HI injury were observed using immunohistochemical and TUNEL staining.Nine newborn piglets were randomly divided into Sham+normal saline(NS),HI+NS,and HI+Lac groups,with n=3 each group.The effects of Lac on the expression of GPR81,apoptotic cell percentage,and the expressions of PI3K,AKT,Bcl-2,and Bax in the basal ganglia after HI injury were observed.Results The cell apoptosis rate increased gradually after HI injury and peaked at 24-48 h(P＜0.05).After HI injury,GPR81 expression initially increased and then decreased,peaking at 2-6 h(P＜0.05).The cell apoptosis rate and the expressions of Bax were higher and p-AKT/AKT ratio and the expressions of PI3K and Bcl-2 were lower in the HI+NS group compared with the Sham+NS group(all P＜0.05).The cell apoptosis rate and the expressions of Bax were lower and p-AKT/AKT ratio and the expressions of GPR81,P13K,and Bcl-2 were higher in the HI+Lac group compared with the HI+NS group(all P＜0.05).Conclusion After HI injury,exogenous Lac can inhibit cell apoptosis through activation of the PI3K/AKT signaling pathway mediated by GPR81.

Objective This study aims to investigate the effects of acupuncture on the spatial learning and memory capacities,the morphological characteristics of hippocampal neurons,the components of extracellular matrix,as well as the structure of the blood-brain barrier in SAMP8 mice.Moreover,it endeavors to explore the underlying mechanism through which the"Tongdu Qishen"(activating governor vessel and awakening spirit)acupuncture method ameliorates the cognitive function and modulates cerebral blood flow in SAMP8 mice.Methods Twenty 6-month-old male SAMP8 mice were randomly allocated into a model group and an electroacupuncture group,with ten mice in each group.Additionally,ten homologous 6-month-old male SAMR1 mice were designated as the normal control group.In the electroacupuncture group,the acupoint"Renzhong"(GV 26)was punctured using a quick insertion technique,while"Baihui"(GV 20)and"Yintang"(EX-HN 3)were punctured via a transverse insertion method.Subsequently,the needle handles were connected to an electroacupuncture apparatus,which was set to operate with a dense-sparse wave at a frequency of 100 Hz/2 Hz and an electric current of 2 mA.Each session of acupuncture lasted for 20 minutes and was conducted once a day for a consecutive period of 28 days.The normal group,the model group,and the electroacupuncture group all underwent identical fixation and restraint procedures to ensure consistent experimental conditions.The Morris water maze was employed to evaluate the spatial learning and memory abilities of the mice.The Nissl staining technique was utilized to assess the alterations in hippocampal neurons of SAMP8 mice.The laser speckle imaging system was adopted to measure the cerebral blood flow of the mice in each group.Transmission electron microscopy was applied to observe the ultrastructure of the blood-brain barrier within the frontal cortex tissue of the SAMP8 mice's brains.The Western blotting method was used to detect the expressions of Collagen-Ⅳ and Fibronectin in the brain tissues of SAMP8 mice.Results In comparison with the model group,the"Tongdu Qishen"acupuncture method demonstrated a significant efficacy in improving the spatial learning and memory abilities of SAMP8 mice(P<0.05).It also effectively alleviated the degeneration of hippocampal neurons,remarkably increased the cerebral blood flow perfusion volume of SAMP8 mice(P<0.05),ameliorated the damage to the blood-brain barrier structure,significantly upregulated the content of Collagen-Ⅳ(P<0.05),and significantly downregulated the content of Fibronectin(P<0.0001).Conclusion The"Tongdu Qishen"acupuncture method is capable of favorably regulating the extracellular matrix of SAMP8 mice,thereby improving cerebral blood flow and ultimately enhancing their learning and memory abilities.

Objective To investigate the role of Glycoprotein non-metastatic melanoma protein B(GPNMB)in hypoxia-induced epithelial-mesenchymal transition(EMT)in human chorionic trophoblast HTR-8/SVneo cells.Methods HTR-8/SVneo cells were cultured in vitro to investigate the effect of hypoxia on GPNMB expression.The cells were transfected with either a GPNMB overexpression plasmid(pcDNA3.1-GPNMB),small interfering RNA targeting GPNMB(si-GPNMB-1/2),or their respective negative controls(pcDNA3.1-NC or si-NC),and were also treated with the autophagy agonist rapamycin(Rap).The experimental groups were categorized as follows:Normoxia,Hypoxia,Normoxia/Hypoxia+si-NC or si-GPNMB,Normoxia/Hypoxia+pcDNA3.1-NC or pcDNA3.1-GPNMB,Normoxia/Hypoxia+Rap,and Hypoxia+Rap+pcDNA3.1-NC or pcDNA3.1-GPNMB.GPNMB expression levels were evaluated using qRT-PCR,Western blotting,and immunofluorescence staining.The expression of autophagy-related proteins(LC3B Ⅱ/Ⅰ,p62)and epithelial-mesenchymal transition(EMT)markers(E-cadherin,N-cadherin)was analyzed by Western blotting.Cell migration and invasion capacities were assessed using wound healing and Transwell assays.Results Compared with the Normoxia group,the mRNA and protein levels of GPNMB were downregulated in the Hypoxia group.Additionally,the protein levels of p62 and N-cadherin were reduced,while LC3B Ⅱ/Ⅰ and E-cadherin expression levels were increased(P<0.05).Compared with the Hypoxia+si-NC group,the Hypoxia+si-GPNMB-2 group showed significantly decreased protein levels of p62 and N-cadherin,along with elevated levels of LC3B Ⅱ/Ⅰ and E-cadherin(P<0.05).Compared with the Hypoxia+pcDNA3.1-NC group,the Hypoxia+pcDNA3.1-GPNMB group exhibited opposite trends.Notably,compared with the Hypoxia group,the Hypoxia+Rap group showed increased LC3B Ⅱ/Ⅰ and E-cadherin levels,accompanied by reduced p62 and N-cadherin levels(P<0.05).However,compared with the Hypoxia+pcDNA3.1-GPNMB group,the Hypoxia+Rap+pcDNA3.1-GPNMB group attenuated the promoting effect of GPNMB overexpression on EMT in HTR-8/SVneo cells,as evidenced by decreased p62 and N-cadherin protein expression levels and increased LC3BⅡ/Ⅰ and E-cadherin protein expression levels(P<0.05).Conclusion In hypoxia-induced HTR-8/SVneo cells,GPNMB inhibits autophagy,promotes the epithelial-mesenchymal transition,and enhances cell migration and invasion.

Objective To evaluate the diagnostic value of positron emission tomography(PET)/computed tomography(CT)and bone marrow biopsy(BMB)for bone marrow infiltration in common non-Hodgkin lymphoma(NHL).Methods We retrospectively analyzed data from 197 patients with NHL and compared the diagnostic value of PET/CT and BMB for bone marrow infiltration.Differences in PET/CT parameters and serological test results were compared between PET/CT-positive and PET/CT-negative patients as well as between BMB-positive and BMB-negative patients.Results In patients with diffuse large B-cell lymphoma(DLBCL),the sensitivities of PET/CT and BMB for detecting bone marrow infiltration were 90.5%and 66.7%,and the specificities were 95.1%and 100.0%,respectively.In patients with follicular lymphoma(FL),the sensitivities were 63.6%and 81.8%,and the specificities were 98.1%and 100.0%,respec-tively.In patients with T-cell lymphoma(TCL),the sensitivities were 60.0%and 80.0%,and the specificities were 88.0%and 100.0%,respectively.Among patients with DLBCL and TCL,significant differences were observed in platelet count and lactate dehydrogenase levels between PET/CT-positive and PET/CT-negative patients(P<0.05).Conclusion PET/CT showed excellent diagnostic perfor-mance for evaluating bone marrow infiltration in DLBCL.PET/CT had limited sensitivity for FL and TCL and might serve as a supplemen-tary tool for BMB.Platelet count and lactate dehydrogenase levels may aid in the diagnosis of bone marrow infiltration in DLBCL and TCL.

Objective:To explore the relationship between urinary cadmium levels and thyroid hormone levels in people aged 40-89 years old in selected areas of China.Methods:Based on the "Investigation of the Impact of Soil Quality of Agricultural Land on Human Health in Typical Areas" project from October 2019 to August 2020, a multi-stage stratified random sampling method was used to include 6 588 middle-aged and older adults aged 40-89. Demographic characteristics, dietary frequency and disease status were collected through the questionnaire and physical examination. Urinary cadmium and urinary creatinine were detected by random midstream urine. Fasting venous blood was collected for the detection of Triiodothyronine (T3) and Thyroxine (T4). The linear mixed effects model was used to explore the association of urine cadmium levels with thyroid hormone levels. Its dose-response relationship was explored by using the restricted cubic spline.Results:The age of the subjects was (63.48±12.18) years, with males accounting for 51.28%. The M ( Q 1,Q 3) of urinary cadmium level, T3 and T4 was 2.48 (1.36, 4.42) μg/g·creatinine, (1.96±0.51) nmol/L and (113.75±29.11) nmol/L, respectively. The linear mixed effects model showed that the changes of T3 and T4 were 0.027 (0.009, 0.044) nmol/L and 2.019 (1.084, 2.953) nmol/L for each one-unit increase (natural logarithm transformed) of urinary cadmium. The restricted cubic spline showed that there was a positive nonlinear association between urinary cadmium and T3 as well as T4 (all Pnonlinear<0.05). Conclusion:In selected areas of China, the urinary cadmium level of middle-aged and older adults aged 40-89 years is positively associated with T3 and T4.