For patients with advanced non-small cell lung cancer (NSCLC) harboring sensitive epidermal growth factor receptor (EGFR) mutations, guidelines prioritize the use of third-generation EGFR-tyrosine kinase inhibitors (EGFR-TKIs), which offer higher objective response rate (ORR), longer progression-free survival (PFS), and better quality of life. However, due to the low proportion of elderly patients enrolled in clinical trials, the existing evidence is insufficient to fully guide clinical practice. This review examines the efficacy and safety differences of third-generation EGFR-TKIs as monotherapy or in combination in the elderly NSCLC by integrating subgroup analyses or pre-specified research objectives from prospective and retrospective studies. The results show that third-generation EGFR-TKIs have comparable efficacy in elderly patients to younger populations and are well-tolerated. Although combination therapies may extend survival time, the associated increased toxicity necessitates careful risk-benefit assessment.
.
Humans ; Carcinoma, Non-Small-Cell Lung/enzymology* ; Lung Neoplasms/enzymology* ; ErbB Receptors/metabolism* ; Protein Kinase Inhibitors/adverse effects* ; Aged ; Antineoplastic Agents/adverse effects*

Periodontal disease is a risk factor for many systemic diseases such as Alzheimer's disease and adverse pregnancy outcomes. Cleft palate (CP), the most common congenital craniofacial defect, has a multifaceted etiology influenced by complex genetic and environmental risk factors such as maternal bacterial or virus infection. A prior case-control study revealed a surprisingly strong association between maternal periodontal disease and CP in offspring. However, the precise relationship remains unclear. In this study, the relationship between maternal oral pathogen and CP in offspring was studied by sonicated P. gingivalis injected intravenously and orally into pregnant mice. We investigated an obvious increasing CP (12.5%) in sonicated P. gingivalis group which had inhibited osteogenesis in mesenchyme and blocked efferocytosis in epithelium. Then glycolysis and H4K12 lactylation (H4K12la) were detected to elevate in both mouse embryonic palatal mesenchyme (MEPM) cells and macrophages under P. gingivalis exposure which further promoted the transcription of metallopeptidase domain17 (ADAM17), subsequently mediated the shedding of transforming growth factor-beta receptor 1 (TGFBR1) in MEPM cells and mer tyrosine kinase (MerTK) in macrophages and resulted in the suppression of efferocytosis and osteogenesis in palate, eventually caused abnormalities in palate fusion and ossification. The abnormal efferocytosis also led to a predominance of M1 macrophages, which indirectly inhibited palatal osteogenesis via extracellular vesicles. Furthermore, pharmacological ADAM17 inhibition could ameliorate the abnormality of P. gingivalis-induced abnormal palate development. Therefore, our study extends the knowledge of how maternal oral pathogen affects fetal palate development and provides a novel perspective to understand the pathogenesis of CP.
Animals ; Female ; Porphyromonas gingivalis ; Pregnancy ; Mice ; Cleft Palate/etiology* ; Glycolysis

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

Objective To analyze the current occupational health literacy (OHL) level and its influencing factors among manufacturing workers in Bao'an District, Shenzhen City. Methods The front-line workers of manufacturing enterprises from seven key industries in two streets of Bao'an District were selected as the research subjects using a stratified cluster random sampling method. The Occupational Health Literacy Questionnaire of National Key Populations was used to online investigate their OHL level. Multivariable logistic regression analysis was used to screen the influencing factors of OHL. Results A total of 633 front-line workers of manufacturing enterprises were surveyed, and 283 had OHL, with an overall OHL level of 44.7%. The levels of literacy across different dimensions, from high to low, were basic knowledge of occupational health protection (84.5%), legal knowledge of occupational health (41.5%), health behaviors and practices (41.2%), and basic skills for occupational health protection (22.0%). The results of the multivariable logistic regression analysis showed that younger age, higher educational level, and higher personal monthly income, were related to higher OHL level among the workers (all P<0.05). Conclusion The OHL level of manufacturing workers in Bao'an District, Shenzhen City still has room for improvement. Efforts should focus on workers with low education levels, low incomes, and older ages, with targeted training in theoretical knowledge to improve the practical application of basic skills for occupational health protection, to improve their OHL.

Objective:To preliminarily predict the potential pathways and targets of Xiaoban Tongmai Formula in anti-atherosclerosis(AS)by network pharmacology analysis,and to verify its possible mechanism combined with in vitro cell experiment.Method:The databases including Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP),GeneCards,Swiss Target Prediction,and Uniprot were used to collect the information on active compounds and corresponding targets of Xiaoban Tongmai Formula to construct the"compound-target-disease"network.The potential targets and pathways were predicted by protein-protein interaction(PPI)network,and the intersection targets were subjected to Gene Ontology(GO)functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analysis.The human aortic vascular smooth muscle cells(HA-VSMCs)were cultured and identified in vitro,and the abnormal proliferation of HA-VSMCs were induced by oxidized low-density lipoprotein(ox-LDL)and identified;MTT method was used to detect the proliferation activities of the HA-VSMCs in various groups after treated with different concentrations of Xiaoban Tongmai Formula;the safety of Xiaoban Tongmai Fang was confirmed.The HA-VSMCs were divided into blank group,model group(the abnormal proliferation of HA-VSMCs was induced),rosuvastatin group(treated with 4 μmol·L-1 rosuvastatin after inducing the abnormal proliferation of HA-VSMCs),and low,medium,and high doses of Xiaoban Tongmai Formula groups(treated with 0.025,0.050,and 0.100 mng·L-1 Xiaoban Tongmai Formula after inducing the abnormal proliferation of HA-VSMCs);enzyme-linked immunosorbent assay(ELISA)was used to detect the levels of monocyte chemotactic protein-1(MCP-1),interleukin-6(IL-6),and interleukin-8(IL-8)in supernatant of the HA-VSMCs in various groups;real-time fluorescence quantitative PCR(RT-qPCR)method was used to detect the expression levels of nuclear factor kappa-B(NF-κB)p65 mRNA and fibroblast growth factors 2(FGF2)mRNA in the HA-VSMCs in various groups;Western blotting method was used to detect the expression levels of NF-κB p65 and FGF2 proteins in the HA-VSMCs in various groups.Results:Xiaoban Tongmai Formula contained 103 active ingredients that exert anti-AS effect by acting on 189 target genes.The potential targets included IL-6,IL-8,vascular endothelial growth factor A(VEGFA),nuclear factor kappa B1(NF-κB1),and RELA(NF-κB p65).The GO functional analysis and KEGG pathway enrichment analysis results showed that Xiaoban Tongmai Formula exerted anti-AS effects by regulating lipid metabolism,hypoxia-inducible factor-1(HIF-1),epidermal growth factor(EGF),phosphatidylinositol 3-kinase(PI3K)/protein kinase B(Akt),and NF-κB signaling pathways.The cell morphology and immunofluorescence staining results confirmed that the cells were HA-VSMCs.The oil red O staining results showed numerous red lipid droplets,indicating successful modeling.The MTT assay results showed that Xiaoban Tongmai Formula had no significant effect on the proliferation rate of HA-VSMCs within a certain dose range,indicating good safety.The ELISA results showed that compared with model group,the levels of MCP-1 and IL-6 in supernatant of the HA-VSMCs in rosuvastatin group and different doses of Xiaoban Tongmai Formula groups were decreased(P＜0.05 or P＜0.01),and the levels of IL-8 in supernatant of the HA-VSMCs in 0.050 and 0.100 mg·L-1 Xiaoban Tongmai Formula groups were decreased(P＜0.01);compared with rosuvastatin group,the levels of MCP-1 in supernatant of the HA-VSMCs in different doses of Xiaoban Tongmai Formula groups were decreased(P＜0.01),and the levels of IL-8 in supernatant of the HA-VSMCs in 0.050 and 0.100 mg·L-1 Xiaoban Tongmai Formula groups were decreased(P＜0.01).Compared with model group,the expression levels of NF-κB p65 mRNA in the HA-VSMCs in rosuvastatin group and different doses of Xiaoban Tongmai Formula groups were decreased(P＜0.01),and the expression levels of FGF2 mRNA in the HA-VSMCs in rosuvastatin group and 0.050 and 0.100 mg·L-1 Xiaoban Tongmai Formula groups were decreased(P＜0.01);compared with rosuvastatin group,the expression levels of NF-κB p65 and FGF2 mRNA in the HA-VSMCs in 0.050 and 0.100 mg·L-1 Xiaoban Tongmai Formula groups were decreased(P＜0.05 or P＜0.01).Compared with model group,the expression levels of NF-κB p65 and FGF2 proteins in the HA-VSMCs in rosuvastatin group and different doses of Xiaoban Tongmai Formula groups were decreased(P＜0.01);compared with rosuvastatin group,the expression levels of NF-κB p65 protein in the HA-VSMCs in 0.050 and 0.100 mg·L-1 Xiaoban Tongmai Formula groups were decreased(P＜0.01),and the expression level of FGF2 protein in the HA-VSMCs in 0.100 mg·L-1 Xiaoban Tongmai Formula group was decreased(P＜0.01).Conclusion:Xiaoban Tongmai Formula has anti-inflammatory effect,inhibitory effect on the proliferation of HA-VSMCs,and anti-AS effect,and its mechanism may be related to the inactivation of NF-κB/FGF2 pathway.

Objective:To discuss the association between occupational acid fog exposure and accelerated biological aging of the workers,and to clarify its related risk factors.Methods:A total of 341 male workers exposed to occupational acid fog and 201 male workers without occupational exposure were selected as the study subjects,and they were divided into exposure group and control group,respectively.The general informations of the subjects in two groups were collected through questionnaires and physical examinations.The levels of red blood cell count(RBC),platelet count(PLT),albumin(ALB),urea(Urea),creatinine(CR),triglycerides(TG),total cholesterol(TC),glycated hemoglobin(HBA1c),and high-sensitivity C-reactive protein(Hs-CRP)in serum of the subjects in two groups were detected.The Klemera-Doubal method(KDM)was used to construct the composite aging measure,KDM-biological age(BA)(KDM-BA).The model parameters were trained using samples from the 2009 China Health and Nutrition Survey(CHNS)Database to calculate the BA acceleration of the subjects in two groups;stratified analysis based on the population characteristics was conducted to analyze the BA of the subjects in two groups with different population characteristics;generalized linear model was used to analyze the factors influencing BA acceleration due to acid fog exposure.Results:The model parameters were trained using samples from the 2009 CHNS Database,including 8 133 cases aged 20-79 years,of which 3 788 were male.The levels of Urea,CR,HBA1c,ALB,and TC,as well as systolic blood pressure(SBP),total working years,sleep duration,and body mass index(BMI)of the subjects between two groups had significant differences(P<0.05).Compared with control group,the BA acceleration of the subjects in exposure group was significantly increased(P<0.05).In entire population and exposure group,the BA acceleration in the smokers was significantly higher than that in the non-smokers(P<0.05).In entire population,control group,and exposure group,the BA accelerations of the subjects in different BMI groups were significantly decreased with the increase of BMI(P<0.05).Compared with control group,the BA acceleration of the subjects in exposure group was significantly increased(P<0.05),including those under 40 years old,with total working years of 4-7 years,Han nationality,unmarried,smokers,and sleep duration 6-7 h,and with overweight.Acid fog exposure,smoking,and BMI were associated with the BA acceleration(β=0.72,95%CI:0.24-1.21;β=0.59,95%CI:0.11-1.06;β=-0.29,95%CI:-0.35—-0.22).Conclusion:Occupational acid fog exposure may accelerate the biological aging in the workers,and acid fog is a risk factor to accelerate the biological aging of the body.

Objective:To understand the epidemiological characteristics and trends of injury in older adults in Jiangsu Province from 2006 to 2022 and provide a scientific basis for developing prevention and control measures.Methods:The data on injury cases aged 60 and older were collected from 12 sentinel hospitals in Jiangsu Province during 2006-2022. The study analyzed the proportion of injury cases among the elderly in the overall population and calculated the annual percent change and average annual percent change (AAPC). A pairwise comparison between groups was performed, and the differences were judged according to the adjusted standardized residuals.Results:From 2006 to 2022, there were 218 426 injury cases among individuals aged 60 and older in Jiangsu Province, which accounted for an increasing proportion of injury cases within the entire population (AAPC=3.17%, P<0.001). The first five causes of elderly injury were falls (42.06%), road traffic injuries (20.20%), animal injuries (11.45%), knife/sharp injuries (9.43%), and blunt injuries (8.13%). From 2006 to 2022, the proportion of falls, animal injuries, and knife/sharp injuries among the elderly aged ≥60 showed an increasing trend, while the proportion of road traffic injuries and blunt injuries decreased (all P<0.001). The incidence of injury was highest in October, with a daily incidence peak between 8:00 and 10:00. Leisure activities (40.34%) were the major activity leading to injury. The injury occurred mainly at home (53.74%), and the injury intention was mainly unintentional (97.41%), all of which showed an increasing trend ( P<0.001). The injuries were mainly bruises (36.00%), and the most common injured positions of the body were low limbs (27.55%), all of which showed a decreasing trend ( P<0.001). About 69.80% of cases were slight, and 79.38% were discharged after treatment, which showed an increasing trend ( P<0.001). Conclusions:The injury data for individuals aged 60 and older in Jiangsu Province exhibited varying trends from 2006 to 2022. There was a noticeable increase in the proportion of elderly injury cases within the overall injury population, as well as an upward trend in falls, animal injuries, and knife/sharp injuries as leading causes of injury. It is imperative to actively develop prevention measures based on the epidemiological characteristics and evolving trends of elderly injuries in Jiangsu Province.

Objective To explore the dose-response relationship between BMI and the prevalence of dyslipidemia using restricted cubic spline model.Methods Using data of Chronic Disease and Risk Factor Surveillance in Nanjing City from 2017 to 2018.A representative sample of 61 098 residents aged≥18 years was surveyed by face-to-face questionnaire survey,anthropometric measurements and laboratory examinations.A logistic regression model of complex sampling and restricted cubic spline model were used to analyze the dose-response relationship between BMI and the risk of dyslipidemia.Results Finally,60 283 subjects were included.Among them,there were 17 093 dyslipidemia patients with a standardized prevalence rate of 29.8%.After adjusting for confounding factors by multiple logistic regression,participants with overweight(OR=1.43,95%CI:1.36～1.49)and obesity(OR=1.97,95%CI:1.83～2.12)had a significantly higher risk of dyslipidemia compared to those with normal weight.The multiple restricted cubic spline model indicated a non-linear dose-response relationship between BMI and the risk of dyslipidemia in women,young,middle-aged and elderly population,and a linear dose-response relationship between BMI and the risk of dyslipidemia in men.Conclusion Weight control plays a very important role in the prevention of dyslipidemia.

Objective:To investigate the association between dietary intake and physical activity category and their combined effects on all-cause and cause-specific mortality risk in patients with type 2 diabetes mellitus (T2DM).Methods:Between December 2013 and December 2021, a prospective cohort study was conducted on 19 863 T2DM patients in Changshu City, Qingjiangpu District (formerly Qinghe District), and Huai'an District, included in the national basic health service management. Information on deaths and underlying causes of death was obtained from the Jiangsu Provincial CDC and Prevention Death Surveillance System. Cox proportional hazards models were used to estimate the intensity of associations between dietary intake, physical activity, and their combined effects with all-cause and cause-specific mortality in patients with T2DM.Results:As of December 31, 2021, the research subjects had been followed up for 150 283 person-years, with a median follow-up time of 8.15 years. During the follow-up period, 3 293 people died, including 1 124 deaths from cardiovascular disease (CVD) and 875 deaths from cancer. Cox regression analysis showed that compared with the population of 0-1 recommended food group, those having more than five recommended food groups had a 19% lower risk of all-cause mortality [hazard ratio ( HR)=0.81, 95% CI: 0.70-0.94] and a 33% lower risk of all-cause mortality ( HR=0.67, 95% CI: 0.52-0.87). Compared with the T2DM population in the physical activity Q1 group, the risk of all-cause mortality, CVD mortality, and cancer mortality among the physical activity Q4 group reduced by 50% ( HR=0.50, 95% CI: 0.45-0.56), 50% ( HR=0.50, 95% CI: 0.41-0.61), and 27% ( HR=0.73, 95% CI: 0.60-0.88), respectively. The combined effect showed that compared with the population in the intake of food categories 0-2 and low physical activity groups, the risk of all-cause, CVD mortality, and cancer mortality in the intake of food categories 4-9 and high physical activity groups reduced by 55% ( HR=0.45, 95% CI: 0.38-0.53), 56% ( HR=0.44, 95% CI: 0.32-0.59), and 40% ( HR=0.60, 95% CI: 0.44-0.82), respectively. Conclusion:Type of dietary intake, physical activity, and their combined effects are associated with a reduced mortality risk in patients with T2DM.

Recent studies have highlighted spatially resolved multi-omics technologies,including spatial genomics,transcriptomics,proteomics,and metabolomics,as powerful tools to decipher the spatial heterogeneity of the brain.Here,we focus on two major approaches in spatial transcriptomics(next-generation sequencing-based technologies and image-based technologies),and mass spectrometry imaging tech-nologies used in spatial proteomics and spatial metabolomics.Furthermore,we discuss their applications in neuroscience,including building the brain atlas,uncovering gene expression patterns of neurons for special behaviors,deciphering the molecular basis of neuronal communication,and providing a more comprehensive explanation of the molecular mechanisms underlying central nervous system disorders.However,further efforts are still needed toward the integrative application of multi-omics technologies,including the real-time spatial multi-omics analysis in living cells,the detailed gene profile in a whole-brain view,and the combination of functional verification.