Objective To study the five-year survival status and influencing factors of elderly patients with lung cancer complicated with chronic obstructive pulmonary disease (COPD). Methods A cohort study was conducted to follow up 450 patients with lung cancer and chronic obstructive pulmonary disease who were hospitalized in our hospital from January 2018 to December 2023. The endpoint of the follow-up was the end of a five-year period or death. The Life Tables method was used to calculate survival rates and plot survival curves. The Cox proportional hazards model was used to analyze the influencing factors of five-year survival. Results The results indicated that the overall five-year survival rate of patients was 4.89%, and it decreased year by year. Cox regression analysis showed that age, gender, family functioning, and psychological status significantly influenced patient survival rate (all P<0.05). Stratified analysis found that the smoking status, family functioning, and psychological status of male patients all had an impact on survival rate (all P<0.05), while the psychological status of female patients had a more significant impact on survival (P=0.008). Conclusion This study provides a scientific basis for comprehensive intervention of elderly lung cancer patients with COPD. It is recommended that clinical attention should be paid to psychological and family factors to improve patient prognosis.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

Depressive disorder is a prevalent mental illness characterized by pronounced and enduring symptoms of depression and cognitive impairment. The escalating pressures of modern society have led to a corresponding rise in the number of depressive disorder patients, particularly those exposed to adverse social, economic, political, and environmental factors which exacerbate the risk of this disorder. The pathogenesis of depressive disorder is multifaceted, encompassing oxidative stress, neuroplasticity alterations, neuroinflammation, neurotransmitter system imbalances, and intestinal microecological disruptions, among others. Clinically, conventional antidepressants are primarily predicated on the monoamine neurotransmitter hypothesis. This theory posits that depressive disorder can be ameliorated by regulating the levels of neurotransmitters within the body through a singular mechanism. However, the complex and multifaceted pathogenesis of depressive disorder results in limited selectivity for these drugs. Mitogen-activated protein kinase (MAPK) is a conserved serine/threonine kinase that plays a crucial role in various cellular physiological and pathological processes, including cell growth, differentiation, stress adaptation, and inflammatory response. It is instrumental in maintaining cellular homeostasis and regulating cellular responses. Numerous studies indicate that MAPK is involved in the pathogenesis and progression of depressive disorder through various pathogenesis. However, what deserves attention is that the interaction between the pathogenesis and dynamics of regulatory process remains unclear. Modulating MAPK has been shown to influence the onset and progression of depressive disorder, though the precise mechanism remains elusive. Within the MAPK family, aberrant activity of extracellular signal-regulated kinase (ERK) can damage hippocampal neurons and overactivate microglia, precipitating depressive disorder. Excessive activation of c-Jun N-terminal kinase (JNK) results in heightened neuronal apoptosis in the hippocampus and prefrontal cortex, and suppresses the expression of neurotrophic factors. p38, a key regulator in inflammatory reactions, can induce neuroinflammation when overactive, leading to depressive disorder. ERK, JNK, and p38 sub-pathways do not function in isolation but rather interact synergistically and/or antagonistically through shared activators and common target molecules. Consequently, these sub-pathways form a complementary and coordinated regulatory network. In addition, MAPK family members can jointly influence the process of depressive disorder by sharing upstream factors and regulating common downstream targets, and there is a lack of identification of their markers and screening for subgroups. The collective abnormal activities of these MAPK family members illuminate the underlying mechanisms of depressive disorder, suggesting that MAPK could serve as a potential therapeutic target for this disorder. As for the study of ERK, different models of depressive disorder have contradictory effects on its activity. The primary cause of these differences can be attributed to the distinct pathological environments utilized in the creation of depressive disorder models. In the future, it is suggested that we use the inducement of depressive disorder as a modeling standard to accurately simulate the onset of depressive disorder to carry out accurate treatment according to the causes of depressive disorder. Research shows that classic clinical drugs, novel MAPK inhibitors and certain traditional Chinese medicines can prevent and treat depressive disorder by regulating the MAPK signaling pathway. Research on MAPK remains limited, particularly concerning the permeability and cellular specificity across the blood-brain barrier and the identification of objective predictive markers. Although inhibitors face challenges, they also possess significant advantages and developmental potential. This paper systematically summarizes the current status of MAPK in the treatment of depressive disorder, in order to provide insights for researching the pathogenesis of depressive disorder and developing new antidepressant drugs.

Depressive disorder is a prevalent mental illness characterized by pronounced and enduring symptoms of depression and cognitive impairment. The escalating pressures of modern society have led to a corresponding rise in the number of depressive disorder patients, particularly those exposed to adverse social, economic, political, and environmental factors which exacerbate the risk of this disorder. The pathogenesis of depressive disorder is multifaceted, encompassing oxidative stress, neuroplasticity alterations, neuroinflammation, neurotransmitter system imbalances, and intestinal microecological disruptions, among others. Clinically, conventional antidepressants are primarily predicated on the monoamine neurotransmitter hypothesis. This theory posits that depressive disorder can be ameliorated by regulating the levels of neurotransmitters within the body through a singular mechanism. However, the complex and multifaceted pathogenesis of depressive disorder results in limited selectivity for these drugs. Mitogen-activated protein kinase (MAPK) is a conserved serine/threonine kinase that plays a crucial role in various cellular physiological and pathological processes, including cell growth, differentiation, stress adaptation, and inflammatory response. It is instrumental in maintaining cellular homeostasis and regulating cellular responses. Numerous studies indicate that MAPK is involved in the pathogenesis and progression of depressive disorder through various pathogenesis. However, what deserves attention is that the interaction between the pathogenesis and dynamics of regulatory process remains unclear. Modulating MAPK has been shown to influence the onset and progression of depressive disorder, though the precise mechanism remains elusive. Within the MAPK family, aberrant activity of extracellular signal-regulated kinase (ERK) can damage hippocampal neurons and overactivate microglia, precipitating depressive disorder. Excessive activation of c-Jun N-terminal kinase (JNK) results in heightened neuronal apoptosis in the hippocampus and prefrontal cortex, and suppresses the expression of neurotrophic factors. p38, a key regulator in inflammatory reactions, can induce neuroinflammation when overactive, leading to depressive disorder. ERK, JNK, and p38 sub-pathways do not function in isolation but rather interact synergistically and/or antagonistically through shared activators and common target molecules. Consequently, these sub-pathways form a complementary and coordinated regulatory network. In addition, MAPK family members can jointly influence the process of depressive disorder by sharing upstream factors and regulating common downstream targets, and there is a lack of identification of their markers and screening for subgroups. The collective abnormal activities of these MAPK family members illuminate the underlying mechanisms of depressive disorder, suggesting that MAPK could serve as a potential therapeutic target for this disorder. As for the study of ERK, different models of depressive disorder have contradictory effects on its activity. The primary cause of these differences can be attributed to the distinct pathological environments utilized in the creation of depressive disorder models. In the future, it is suggested that we use the inducement of depressive disorder as a modeling standard to accurately simulate the onset of depressive disorder to carry out accurate treatment according to the causes of depressive disorder. Research shows that classic clinical drugs, novel MAPK inhibitors and certain traditional Chinese medicines can prevent and treat depressive disorder by regulating the MAPK signaling pathway. Research on MAPK remains limited, particularly concerning the permeability and cellular specificity across the blood-brain barrier and the identification of objective predictive markers. Although inhibitors face challenges, they also possess significant advantages and developmental potential. This paper systematically summarizes the current status of MAPK in the treatment of depressive disorder, in order to provide insights for researching the pathogenesis of depressive disorder and developing new antidepressant drugs.

Inflammatory diseases (IDs) are a general term of diseases characterized by chronic inflammation as the primary pathogenetic mechanism, which seriously affect the quality of patient′s life and cause significant social and medical burden. Current drugs for IDs include nonsteroidal anti-inflammatory drugs, corticosteroids, immunomodulators, biologics, and antioxidants, but these drugs may cause gastrointestinal side effects, induce or worsen infections, and cause non-response or intolerance. Given the outstanding performance of metal polyphenol network (MPN) in the fields of drug delivery, biomedical imaging, and catalytic therapy, its application in the diagnosis and treatment of IDs has attracted much attention and significant progress has been made. In this paper, we first provide an overview of the types of IDs and their generating mechanisms, then sort out and summarize the different forms of MPN in recent years, and finally discuss in detail the characteristics of MPN and their latest research progress in the diagnosis and treatment of IDs. This research may provide useful references for scientific research and clinical practice in the related fields.

Six compounds were isolated from the ethyl acetate fraction of Citri Sarcodactylis Fructus by using various column chromatographic methods, such as MCI Gel CHP-20, ODS, Sephadex LH-20, silica gel and semipreparative HPLC. Their structures were identified to be citrusin G (1), citrusin H (2), citrusin E (3), syringin (4), coniferin (5), methylconiferin (6) by NMR, HR-ESI-MS, UV, IR spectra. Compounds 1 and 2 were new secondary metabolism products and 3-6 were obtained from the titled material for the first time. Compound 1 showed anti-renal fibrosis activity in TGF-β1-induced kidney proximal tubular cells.

ObjectiveTo investigate the role of silent information regulatory protein （SIRT6）/hypoxia-inducible factor-1α （HIF-1α） pathway in regulating the reprogramming of glucose metabolism in ulcerative colitis （UC） and the mechanism of intervention of Shaoyaotang. MethodsForty-eight c57bL/6 mice were randomly divided into a blank group， a model group， a Mesalazine group （0.42 g·kg^-1）， a Shaoyaotang group （31.08 g·kg^-1）， an inhibitor group （OSS-128167， 50 mg·kg^-1）， and an inhibitor + Shaoyaotang group （50 mg·kg^-1 OSS-128167 + 31.08 g·kg^-1 Shaoyaotang）. A UC model was established by the administration of 2.5% dextran sulfate sodium （DSS） solution for mice in other groups for 7 d， except for the blank group. The mice in each group were treated with saline， Mesalazine， Shaoyaotang， inhibitor， and inhibitor + Shaoyaotang， respectively， for 7 d. The mice were necropsied 24 h after the last administration of the drug. The blood was collected from the orbital region， and colon tissue was taken. Hematoxylin-eosin （HE） staining was used to observe the pathological changes in colon tissue. Enzyme-linked immunosorbent assay （ELISA） was employed to detect serum interleukin （IL）-10， IL-17， and IL-6 levels. A biochemical method was used to detect glucose and lactate dehydrogenase A （LDHA） levels. Immunohistochemistry （IHC） was employed to detect IL-22 and transforming growth factor-β₁ （TGF-β₁） levels in colon tissue， and Western blot and real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） were used to detect relative protein and mRNA expressions of SIRT6， HIF-1α， and LDHA. ResultsCompared with those of the blank group， disease activity index （DAI） scores of mice in the model group and inhibitor group were significantly increased （P<0.01）. The length of colon tissue was significantly shortened， and colon tissue was congested and eroded. The pathohistological scores were significantly increased （P<0.01）. The levels of serum inflammatory factors IL-17 and IL-6 were significantly elevated， and the levels of IL-10 were significantly decreased （P<0.01）. The protein expressions of IL-22 and TGF-β₁ were significantly reduced in colon tissue （P<0.01）. The relative protein and mRNA expressions of SIRT6 were significantly decreased （P<0.01）， and the relative protein and mRNA expressions of HIF-1α and LDHA and the contents of glucose and lactate were significantly elevated （P<0.01）. The level of inflammation in the colon of the mice in the inhibitor group was more severe than that in the model group （P<0.01）. Compared with the model group， the Mesalazine group， the Shaoyaotang group， and the inhibitor + Shaoyaotang group showed reduced colonic injury， significant decrease in serum IL-17 and IL-6， significant increase in IL-10 （P<0.01）， significant increase in the protein expressions of IL-22 and TGF-β₁ in colon tissue （P<0.01）， significant increase in the protein expressions of SIRT6 and the relative mRNA expressions （P<0.01）， and significant reduction in the protein expressions of HIF-1α and LDHA， the relative mRNA expressions， and the contents of glucose and lactate （P<0.01）. Compared with those in the Shaoyaotang group， the serum IL-17 and IL-6 were significantly increased， and IL-10 was significantly decreased in the inhibitor + Shaoyaotang group （P<0.01）. The protein expressions of IL-22 and TGF-β₁ in colon tissue were significantly decreased （P<0.01）. The expressions of SIRT6 protein and the relative mRNA expressions were significantly decreased （P<0.01）. The protein expressions of HIF-1α and LDHA， the relative mRNA expressions， and the contents of glucose and lactate were significantly elevated （P<0.01）. However， the difference between the Shaoyaotang group and the Mesalazine group was not significant. ConclusionShaoyaotang can effectively treat DSS-induced mice with UC through the SIRT6/HIF-1α pathway， and its mechanism of action may be related to the regulation of the SIRT6/HIF-1α pathway and glucose metabolism reprogramming and the inhibition of glycolysis.

ObjectiveTo investigate the role of silent information regulatory protein （SIRT6）/hypoxia-inducible factor-1α （HIF-1α） pathway in regulating the reprogramming of glucose metabolism in ulcerative colitis （UC） and the mechanism of intervention of Shaoyaotang. MethodsForty-eight c57bL/6 mice were randomly divided into a blank group， a model group， a Mesalazine group （0.42 g·kg^-1）， a Shaoyaotang group （31.08 g·kg^-1）， an inhibitor group （OSS-128167， 50 mg·kg^-1）， and an inhibitor + Shaoyaotang group （50 mg·kg^-1 OSS-128167 + 31.08 g·kg^-1 Shaoyaotang）. A UC model was established by the administration of 2.5% dextran sulfate sodium （DSS） solution for mice in other groups for 7 d， except for the blank group. The mice in each group were treated with saline， Mesalazine， Shaoyaotang， inhibitor， and inhibitor + Shaoyaotang， respectively， for 7 d. The mice were necropsied 24 h after the last administration of the drug. The blood was collected from the orbital region， and colon tissue was taken. Hematoxylin-eosin （HE） staining was used to observe the pathological changes in colon tissue. Enzyme-linked immunosorbent assay （ELISA） was employed to detect serum interleukin （IL）-10， IL-17， and IL-6 levels. A biochemical method was used to detect glucose and lactate dehydrogenase A （LDHA） levels. Immunohistochemistry （IHC） was employed to detect IL-22 and transforming growth factor-β₁ （TGF-β₁） levels in colon tissue， and Western blot and real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） were used to detect relative protein and mRNA expressions of SIRT6， HIF-1α， and LDHA. ResultsCompared with those of the blank group， disease activity index （DAI） scores of mice in the model group and inhibitor group were significantly increased （P<0.01）. The length of colon tissue was significantly shortened， and colon tissue was congested and eroded. The pathohistological scores were significantly increased （P<0.01）. The levels of serum inflammatory factors IL-17 and IL-6 were significantly elevated， and the levels of IL-10 were significantly decreased （P<0.01）. The protein expressions of IL-22 and TGF-β₁ were significantly reduced in colon tissue （P<0.01）. The relative protein and mRNA expressions of SIRT6 were significantly decreased （P<0.01）， and the relative protein and mRNA expressions of HIF-1α and LDHA and the contents of glucose and lactate were significantly elevated （P<0.01）. The level of inflammation in the colon of the mice in the inhibitor group was more severe than that in the model group （P<0.01）. Compared with the model group， the Mesalazine group， the Shaoyaotang group， and the inhibitor + Shaoyaotang group showed reduced colonic injury， significant decrease in serum IL-17 and IL-6， significant increase in IL-10 （P<0.01）， significant increase in the protein expressions of IL-22 and TGF-β₁ in colon tissue （P<0.01）， significant increase in the protein expressions of SIRT6 and the relative mRNA expressions （P<0.01）， and significant reduction in the protein expressions of HIF-1α and LDHA， the relative mRNA expressions， and the contents of glucose and lactate （P<0.01）. Compared with those in the Shaoyaotang group， the serum IL-17 and IL-6 were significantly increased， and IL-10 was significantly decreased in the inhibitor + Shaoyaotang group （P<0.01）. The protein expressions of IL-22 and TGF-β₁ in colon tissue were significantly decreased （P<0.01）. The expressions of SIRT6 protein and the relative mRNA expressions were significantly decreased （P<0.01）. The protein expressions of HIF-1α and LDHA， the relative mRNA expressions， and the contents of glucose and lactate were significantly elevated （P<0.01）. However， the difference between the Shaoyaotang group and the Mesalazine group was not significant. ConclusionShaoyaotang can effectively treat DSS-induced mice with UC through the SIRT6/HIF-1α pathway， and its mechanism of action may be related to the regulation of the SIRT6/HIF-1α pathway and glucose metabolism reprogramming and the inhibition of glycolysis.

BACKGROUND:In recent years,with the rapid development of biomedicine,the study of brain aging and exosomes has attracted more and more attention,but there is no bibliometrics analysis in this field. OBJECTIVE:To objectively analyze domestic and foreign literature on brain aging and exosomes in the past 15 years,to summarize the research status,hot spots,and development trends in this field. METHODS:Using the core database of Web of Science as a search platform,we downloaded the literature on brain aging and exosomes published from the establishment of the database to December 28,2022,and analyzed the data from the aspects of country or region,institution,author,keywords,and co-cited literature using CiteSpace 6.1.R6 visualization software. RESULTS AND CONCLUSION:A total of 1 045 research articles were included,and the number of publications on brain aging and exosomes research both domestically and internationally was showing an increasing trend year by year.The United States ranked first with 429 papers,and China ranked second with 277 papers.Louisiana State University ranked first with 16 articles.Professor Lukiw Walter J from Louisiana State University in the United States was the author with the highest number of publications,and Professor Bartel DP from the Massachusetts Institute of Technology was the author with the most citations.The most prolific Journal was the International Journal of Molecular Sciences.Alzheimer's disease,microRNA,gene expression,extracellular vesicles,exosomes,oxidative stress,and biomarkers are the most relevant terms.According to the research on hot topics,biomarkers have become a new research hotspot.The above results indicate that the research on brain aging and exosomes has gradually increased in the past 15 years.The research direction has gradually shifted from the initial exploration of the expression of miRNAs in central nervous system diseases related to brain aging to the search for biomarkers that can identify and diagnose neurodegenerative diseases.The study of exocrine miRNAs to protect central nervous system from damage has emerged as promising therapeutic strategy.