Alzheimer's disease (AD), a neurodegenerative disorder with complex etiologies, manifests through a cascade of pathological changes before clinical symptoms become apparent. Among these early changes, alterations in the expression of non-coding RNAs (ncRNAs) have emerged as pivotal events. In this study, we focused on the aberrant expression of ncRNAs and revealed that Lamr1-ps1, a pseudogene of the laminin receptor, significantly exacerbates early spatial learning and memory deficits in APP/PS1 mice. Through a combination of bioinformatics prediction and experimental validation, we identified the miR-29c/Bace1 pathway as a potential regulatory mechanism by which Lamr1-ps1 influences AD pathology. Importantly, augmenting the miR-29c-3p levels in mice ameliorated memory deficits, underscoring the therapeutic potential of targeting miR-29c-3p in early AD intervention. This study not only provides new insights into the role of pseudogenes in AD but also consolidates a foundational basis for considering miR-29c as a viable therapeutic target, offering a novel avenue for AD research and treatment strategies.
Animals ; Alzheimer Disease/pathology* ; Pseudogenes/genetics* ; Mice ; Memory Disorders/metabolism* ; MicroRNAs/genetics* ; Disease Models, Animal ; Spatial Learning/physiology* ; Mice, Transgenic ; Presenilin-1/genetics* ; Male ; Amyloid Precursor Protein Secretases/metabolism* ; Mice, Inbred C57BL ; Aspartic Acid Endopeptidases/metabolism*

Objective To analyze the situation of blood lipid and blood routine parameters in patients with pneumoconiosis,and construct a column chart diagnostic model to explore their diagnostic value for pneumo-coniosis.Methods A total of 456 patients with pneumoconiosis admitted to the First Affiliated Hospital of Chongqing Medical and Pharmaceutical College from January 2022 to January 2024 were selected as the pneu-moconiosis group,while 462 healthy subjects exposed to dust during the same period were chosen as the con-trol group.Serum lipids and blood routine parameters related to pneumoconiosis were measured and compared between two groups.Univariate and multivariate Logistic regression analyzes were conducted to examine ser-um lipids and blood routine parameters associated with pneumoconiosis.A risk prediction model was construc-ted using logistic regression in machine learning,and the diagnostic efficacy of the column chart diagnostic model was evaluated by calculating the C-index through receiver operating characteristic(ROC)curve and plotting the model calibration curve based on Hosmer Lemeshow goodness of fit.Decision curve analysis(DCA)was used to assess the clinical practicality of the column chart diagnostic model.Results The levels of serum high-density ester protein cholesterol(HDL-C),cholesterol(TC),red blood cell(RBC),hematocrit(HCT),hemoglobin concentration(HGB),lymphocyte number(LYM),and lymphocyte percentage(LYM％)in the pneumoconiosis group were lower than those in the control group(P＜0.05).The levels of neutrophil-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),and systemic immune inflammation index(SII)were higher than those in the control group(P＜0.05).Multivariate Logistic regression analysis showed that HDL-C,LYM％,PLR,and SII were independent influencing factors for pneumoconiosis(P＜0.05).A column chart diagnostic model for the occurrence of pneumoconiosis was constructed using HDL-C,TC,LYM％,PLR,and SII as diagnostic factors.The ROC curve C-index of the diagnostic model was 0.84(95％CI:0.81-0.86),with sensitivity for diagnosing pneumoconiosis of 75.29％,specificity of 77.51％,posi-tive predictive value of 83.25％,and negative predictive value of 67.88％.Internal validation was conducted on the constructed column chart diagnostic model,with a validation set ROC curve C-index of 0.84(95％CI:0.80-0.87),sensitivity of 80.91％,specificity of 72.62％,positive diagnostic value of 79.46％,and negative diagnostic value of 74.39％.The calibration positive curve slope of the diagnostic model was close to 1,and in the fit test P＞0.05.DCA analysis showed that the diagnostic model had clinical practical value for risk diag-nosis of pneumoconiosis.Conclusion HDL-C,TC,LYM％,PLR and SII are independent influencing factors for pneumoconiosis.A column chart diagnostic model for the occurrence of pneumoconiosis is successfully constructed based on machine learning principles,and it has been verified to have high diagnostic efficiency.

Among solid tumors,melanoma brain metastasis(MBM)has the highest incidence and is the leading cause of death in advanced melanoma patients.BRAF/MEK inhibitors and immune checkpoint inhibitors are currently effective treatments for brain metastases in melanoma patients.However,due to the existing blood-brain barrier and special intracranial microenviroment,the overall survival of patients has not been significantly improved,which has become a major difficulty in current treatment.Therefore,investigating the mechanisms of brain metastasis is crucial for refining the treatment strategies and improving the prognosis and survival outcomes in advanced melanoma patients.In this paper,the research progress of MBM mechanism in recent years is summarized,in order to provide new ideas for follow-up clinical work.

Objective To explore the characteristics of oropharyngeal metabolites of postoperative pneumonia(POP)and non-POP patients with gastric cancer by non-targeted metabolomics,and to provide reference for revea-ling the pathogenesis as well as clinical prevention and control.Methods Oropharyngeal swabs were collected from patients who underwent surgical treatment for gastric cancer in the department of gastrointestinal surgery of a tertia-ry hospital in Fujian Province from January 2022 to December 2023,nested case-control study was adopted,with 30 cases in POP group and non-POP group,respectively,ultrahigh performance liquid chromatography-tandem mass spectrometry(UHPLC-MS/MS)technique was adopted for detection,and multivariate statistical analysis was per-formed.Results The metabolites of POP group and non-POP group preoperatively,POP group and non-POP group postoperatively,POP group preoperatively and postoperatively,as well as non-POP group preoperatively and post-operatively did not show a clear trend of separation on the score graph of principal component analysis(PCA),par-tial least squares discriminant analysis(PLS-DA),and orthogonal partial least squares discriminant analysis(OPLS-DA),but the screening of the differential metabolites revealed that the relative abundances of ascorbic acid and lipoic acid in the POP group preoperatively were lower than non-POP group preoperatively.The relative abundance of 5'-adenylic acid in the POP group preoperatively was lower than postoperatively,while the relative abundances of suc-cinic acid and phenylacetaldehyde were higher.There were differences in metabolic pathways such as phenylalanine.Conclusion Alteration of metabolite level due to abnormalities in specific metabolic pathways presents in the deve-lopment of gastric cancer POP and may be related to the development of POP.

Objective To analyze temporal trends in infectious disease burden among Chinese elderly(≥60 years)using data from the Global Burden of Disease Study(GBD 2021),evaluate age-period-cohort effects on disease burden,predict trends through 2045,and propose evidence-based medication management strategies.Methods We conducted a threefold analysis of infectious disease burden from 1990 to 2021 using Joinpoint regression to identify temporal trends,Age-Period-Cohort(APC)modeling to disentangle epidemiological effects,and Nordpred projections for 2045 disease burden estimates.Results Over 32 years,all infectious disease categories except HIV/AIDS and sexually transmitted infections demonstrated significant declines.Enteric infections showed the most rapid reductions in mortality(AAPC=-7.85,P﹤0.001)and disability-adjusted life year rates(DALYR;AAPC=-7.18,P﹤0.001).We also found a significant decrease in the incidence of tropical diseases and malaria(AAPC=-6.77,P﹤0.001).APC analysis found that the age effect was mostly negative in terms of the annual percentage change in mortality and DALYR for each disease,except for HIV/AIDS,with an overall decline in period risk over time,and a generally higher risk of morbidity and mortality for the early birth cohort,and an overall decline in the risk of each disease as the year of birth progressed,but the risk of HIV/AIDS death and DALY period and cohort risks trended upward.While the overall risk for certain diseases was slightly higher in males compared to females,the trends were largely consistent across both sexes.In terms of projections,the absolute prevalence of respiratory infections and tuberculosis in terms of number of cases and age-standardized rates,and the growth of the disease burden of HIV/AIDS were particularly prominent,making them important health challenges for the future.The burden of disease in the elderly often results in issues such as potential polypharmacy,which must be addressed to improve medication management.Conclusions China has achieved remarkable progress in reducing infectious disease burdens among older adults,though HIV/AIDS and sexually transmitted infections present an escalating public health threat.These findings advocate for enhanced surveillance systems,age-specific prevention strategies,and precision medication protocols to optimize therapeutic outcomes in geriatric populations.

Gallbladder cancer is a highly aggressive malignancy of the biliary system, often diagnosed at the advanced stage due to its insidious early symptoms, leading to poor overall progno-sis. In recent years, the rapid advancement of artificial intelligence (AI) technologies and their inte-gration into medicine have opened new avenues for the early diagnosis and precision treatment of gallbladder cancer. Currently, AI incorporating deep learning algorithm has significantly improved diagnostic sensitivity and specificity in ultrasound, computed tomography, and pathological analysis. However, clinical translation of AI models remains limited by challenges such as insufficient annota-ted data and limited model interpretability. Future research should focus on establishing multi-center data-sharing mechanisms, developing interpretability tools, and optimizing multimodal data integration strategies, thereby promoting the transformation of AI technologies from an auxiliary diagnostic tool to a core component of clinical decision-making.

Objective To explore the characteristics of oropharyngeal metabolites of postoperative pneumonia(POP)and non-POP patients with gastric cancer by non-targeted metabolomics,and to provide reference for revea-ling the pathogenesis as well as clinical prevention and control.Methods Oropharyngeal swabs were collected from patients who underwent surgical treatment for gastric cancer in the department of gastrointestinal surgery of a tertia-ry hospital in Fujian Province from January 2022 to December 2023,nested case-control study was adopted,with 30 cases in POP group and non-POP group,respectively,ultrahigh performance liquid chromatography-tandem mass spectrometry(UHPLC-MS/MS)technique was adopted for detection,and multivariate statistical analysis was per-formed.Results The metabolites of POP group and non-POP group preoperatively,POP group and non-POP group postoperatively,POP group preoperatively and postoperatively,as well as non-POP group preoperatively and post-operatively did not show a clear trend of separation on the score graph of principal component analysis(PCA),par-tial least squares discriminant analysis(PLS-DA),and orthogonal partial least squares discriminant analysis(OPLS-DA),but the screening of the differential metabolites revealed that the relative abundances of ascorbic acid and lipoic acid in the POP group preoperatively were lower than non-POP group preoperatively.The relative abundance of 5'-adenylic acid in the POP group preoperatively was lower than postoperatively,while the relative abundances of suc-cinic acid and phenylacetaldehyde were higher.There were differences in metabolic pathways such as phenylalanine.Conclusion Alteration of metabolite level due to abnormalities in specific metabolic pathways presents in the deve-lopment of gastric cancer POP and may be related to the development of POP.

Objective To analyze temporal trends in infectious disease burden among Chinese elderly(≥60 years)using data from the Global Burden of Disease Study(GBD 2021),evaluate age-period-cohort effects on disease burden,predict trends through 2045,and propose evidence-based medication management strategies.Methods We conducted a threefold analysis of infectious disease burden from 1990 to 2021 using Joinpoint regression to identify temporal trends,Age-Period-Cohort(APC)modeling to disentangle epidemiological effects,and Nordpred projections for 2045 disease burden estimates.Results Over 32 years,all infectious disease categories except HIV/AIDS and sexually transmitted infections demonstrated significant declines.Enteric infections showed the most rapid reductions in mortality(AAPC=-7.85,P﹤0.001)and disability-adjusted life year rates(DALYR;AAPC=-7.18,P﹤0.001).We also found a significant decrease in the incidence of tropical diseases and malaria(AAPC=-6.77,P﹤0.001).APC analysis found that the age effect was mostly negative in terms of the annual percentage change in mortality and DALYR for each disease,except for HIV/AIDS,with an overall decline in period risk over time,and a generally higher risk of morbidity and mortality for the early birth cohort,and an overall decline in the risk of each disease as the year of birth progressed,but the risk of HIV/AIDS death and DALY period and cohort risks trended upward.While the overall risk for certain diseases was slightly higher in males compared to females,the trends were largely consistent across both sexes.In terms of projections,the absolute prevalence of respiratory infections and tuberculosis in terms of number of cases and age-standardized rates,and the growth of the disease burden of HIV/AIDS were particularly prominent,making them important health challenges for the future.The burden of disease in the elderly often results in issues such as potential polypharmacy,which must be addressed to improve medication management.Conclusions China has achieved remarkable progress in reducing infectious disease burdens among older adults,though HIV/AIDS and sexually transmitted infections present an escalating public health threat.These findings advocate for enhanced surveillance systems,age-specific prevention strategies,and precision medication protocols to optimize therapeutic outcomes in geriatric populations.

Gallbladder cancer is a highly aggressive malignancy of the biliary system, often diagnosed at the advanced stage due to its insidious early symptoms, leading to poor overall progno-sis. In recent years, the rapid advancement of artificial intelligence (AI) technologies and their inte-gration into medicine have opened new avenues for the early diagnosis and precision treatment of gallbladder cancer. Currently, AI incorporating deep learning algorithm has significantly improved diagnostic sensitivity and specificity in ultrasound, computed tomography, and pathological analysis. However, clinical translation of AI models remains limited by challenges such as insufficient annota-ted data and limited model interpretability. Future research should focus on establishing multi-center data-sharing mechanisms, developing interpretability tools, and optimizing multimodal data integration strategies, thereby promoting the transformation of AI technologies from an auxiliary diagnostic tool to a core component of clinical decision-making.

Among solid tumors,melanoma brain metastasis(MBM)has the highest incidence and is the leading cause of death in advanced melanoma patients.BRAF/MEK inhibitors and immune checkpoint inhibitors are currently effective treatments for brain metastases in melanoma patients.However,due to the existing blood-brain barrier and special intracranial microenviroment,the overall survival of patients has not been significantly improved,which has become a major difficulty in current treatment.Therefore,investigating the mechanisms of brain metastasis is crucial for refining the treatment strategies and improving the prognosis and survival outcomes in advanced melanoma patients.In this paper,the research progress of MBM mechanism in recent years is summarized,in order to provide new ideas for follow-up clinical work.