Acute hypobaric hypoxic brain damage is a potentially fatal high-altitude sickness. Autophagy plays a critical role in ischemic brain injury, but its role in hypobaric hypoxia (HH) remains unknown. Here we used an HH chamber to demonstrate that acute HH exposure impairs autophagic activity in both the early and late stages of the mouse brain, and is partially responsible for HH-induced oxidative stress, neuronal loss, and brain damage. The autophagic agonist rapamycin only promotes the initiation of autophagy. By proteome analysis, a screen showed that protein dynamin2 (DNM2) potentially regulates autophagic flux. Overexpression of DNM2 significantly increased the formation of autolysosomes, thus maintaining autophagic flux in combination with rapamycin. Furthermore, the enhancement of autophagic activity attenuated oxidative stress and neurological deficits after HH exposure. These results contribute to evidence supporting the conclusion that DNM2-mediated autophagic flux represents a new therapeutic target in HH-induced brain damage.
Mice ; Animals ; Hypoxia ; Oxidative Stress ; Autophagy ; Cognition ; Sirolimus/therapeutic use*

Objective To investigate the relationship between serum levels of long non-coding RNA(ln-cRNA)nuclear-enriched abundant transcript 1(NEAT1)and microRNA miR-23c in patients with diabetic ne-phropathy(DN).Methods A total of 136 DN patients admitted to the hospital from May 2019 to May 2020 were enrolled in the study as the DN group.Fifty-eight healthy people who underwent physical examination in the hospital during the same period were enrolled as the control group.Real-time fluorescence quantitative PCR(qPCR)was used to detect serum lncRNA NEAT1,miR-23c,kidney injury molecule-1(KIM-1),neutro-phil gelatinase-associated lipocalin(NGAL),tumor necrosis factor-α(TNF-α)mRNA and interleukin-6(IL-6)mRNA in the two groups.Pearson/Spearman correlation was used to analyze the correlation of serum ln-cRNA NEAT1 and miR-23c with KIM-1,NGAL,TNF-α,IL-6 mRNA levels and eGFR in DN patients.DN pa-tients were divided into different CKD stages,and the levels of serum lncRNA NEAT1,miR-23c,KIM-1,NGAL,TNF-α,and IL-6 mRNA in patients in different CKD stages were compared.Multivariate ordered Lo-gistic regression was used to analyze whether serum levels of lncRNA NEAT1 and miR-23c were influencing factors for the progression of DN.Results Compared with the control group,the serum levels of lncRNA NEAT1,KIM-1,NGAL,TNF-α and IL-6 mRNA in the DN group were increased,while miR-23c and esti-mated glomerular filtration rate(eGFR)were decreased,and the differences were all statistically significant(P＜0.05).The serum levels of lncRNA NEAT1,KIM-1,NGAL,TNF-α and IL-6 mRNA in DN patients in G1-G5 stages were increased in order,and the level of miR-23c was decreased in order(P＜0.05).Serum ln-cRNA NEAT1 in DN patients was positively correlated with KIM-1,NGAL,TNF-α and IL-6 mRNA levels(P＜0.05),and negatively correlated with miR-23c and eGFR(P＜0.05).The level of serum miR-23c was negatively correlated with the mRNA levels of KIM-1,NGAL,TNF-α and IL-6(P＜0.05),and positively cor-related with eGFR(P＜0.05).lncRNA NEAT1(OR=2.177,95％CI:2.113-2.441)was an independent risk factor for DN progression,while miR-23c(OR=0.595,95％CI:0.543-0.726)was an independent pro-tective factor(P＜0.05).Conclusion Elevated serum lncRNA NEAT1 levels and reduced miR-23c levels in DN patients are closely associated with the progression of DN disease.

Objective To explore the therapeutic mechanism of Modified Lugen Formula(Phragmitis Rhizoma,Cicadae Periostracum,Batryticatus Bombyx,Lonicerae Japonicae Flos,Glycyrrhiza,Menthae Haplocalycis Herba,Notopterygii Rhizoma et Radix,Puerariae Lobatae Radix,Bupleuri Radix)in treating influenza from the virus-host interaction interface.Methods The phytocompounds were first collected from the HERB database,and then potential active compounds were screened out by Lipinski's rules of five.The targets of active compounds were further predicted through the SwissTargetPrediction platform.Differentially expressed genes(DEGs)were determined from the human H1N1 influenza dataset GSE90732 available in the Gene Expression Omnibus database(GEO).H1N1-Homo sapiens-related protein-protein interactions(PPIs)were gathered from the Pathogen-Host Interaction Search Tool(PHISTO).The above mentioned bioinformatic datasets were integrated.Then a PPI network and a Formula-virus-host interaction network were constructed using Cytoscape.Functional enrichment analyses were performed by using R software.Finally,molecular docking was carried out to evaluate the binding activities between the key compounds and targets.Results A total of 1 252 active compounds,1 415 targets,951 influenza-related DEGs,and 10 142 H1N1-Homo sapiens-related PPIs were obtained.There were 72 intersection targets between the Modified Lugen Formula and influenza.Functional enrichment analyses showed that these targets are closely related to host defense and programmed cell death.The network topological analysis showed that active compounds in the Modified Lugen Formula,such as oleanolic acid,γ-undecalactone,and longispinogenin,regulate viral proteins M2,NA,NS1,and HA and/or the host factors HSP90AA1,NRAS,and ITGB1,thus exert therapeutic effect.Molecular docking results confirmed that these compounds had a good binding ability with the targets.Conclusion Multiple active ingredients in Modified Lugen Formula directly target influenza virus proteins and/or host factors,thereby play an anti-influenza role in multiple dimensions,including inhibiting virus replication,regulating host defense and cell death.This study provides a theoretical basis for further experimental analysis of the action mechanism of the Modified Lugen Formula in treating influenza.

There is a certain correlation and interaction between circulating tumor cells and recurrence-metastasis of colorectal cancer. The circulating tumor cells hidden in the human body can lead to the recurrence and metastasis of colorectal cancer， and the recurrence and metastasis of colorectal cancer can in turn cause a sharp increase in the number of circulating tumor cells， which is consistent with the characteristics of latent pathogens in traditional Chinese medicine leading to diseases. Starting from the theory of latent pathogens， this article summarized the etiology and disease mechanism of recurrence-metastasis of colorectal cancer as harmed healthy qi， latent pathogenic qi， prolonged latent pathogens， and triggering healthy qi deficiency. This article also proposes four major treatment methods as reinforcing healthy qi， assisting yang， opening the exterior， and expelling pathogen， in order to provide ideas and methods for the prevention and treatment of recurrence and metastasis of colorectal cancer.

Objective To investigate the biological function of long-stranded non-coding RNA colorectal tumor differentially expressed gene(lncRNA CRNDE)in the malignant progression of papillary thyroid carci-noma(PTC)and its potential regulatory mechanisms.Methods Cancer and paracancerous tissue specimens from totally 30 PTC patients who underwent thyroidectomy at the Affiliated People's Hospital of Jiangsu U-niversity from July 2019 to January 2021 were collected,and human thyroid cancer cell lines(TPC-1 and BC-PAP)and normal human thyroid cells(Nthy-ori 3-1)were additionally selected as the target cells.Real time quantitative polymerase chain reaction(qPCR)was performed to detect the expression of lncRNA CRNDE and microRNA(miR)-451 in PTC cancer,paracancerous tissues,and cell lines.TPC-1 and BCPAP cells were randomly divided into control(Ctrl)group,lncRNA CRNDE overexpression(lncRNA CRNDE-OE)group and lncRNA CRNDE knockdown(lncRNA CRNDE-siRNA)group.CCK-8 method was used to detect cell proliferation activity.Transwell method was used to detect cell invasion and migration.Flow cytometry was used to detect cell apoptosis.Western blot was used to detect N-cadherin,vimentin,and E-cadherin protein ex-pression.The luciferase reporter assay was used to analyze the targeting relationship between lncRNA CRNDE and miR-451 gene.Results lncRNA CRNDE expression was increased and miR-451 expression was decreased in cancer tissues compared with paracancerous tissues(P＜0.001);lncRNA CRNDE expression was up-regulated and miR-451 expression was down-regulated in TPC-1 and BCPCP cells compared with Nthy-ori 3-1 cells(P＜0.001).Compared with the Ctrl group,BCPAP and TPC-1 cells in the lncRNA CRNDE-OE group showed increased survival,invasion and migration rates,decreased apoptosis,decreased E-cadherin pro-tein expression,elevated N-cadherin and Vimentin protein expression,and decreased miR-451 expression(P＜0.01),whereas in the lncRNA CRNDE-siRNA group,cell survival,invasion rate and migration rate were de-creased,apoptosis rate was elevated,E-cadherin protein expression was increased,and N-cadherin and Vimen-tin protein expression was decreased(P＜0.01).Dual luciferase reporter assay showed that lncRNA CRNDE had obvious targeting relationship with miR-451.Conclusion lncRNA CRNDE is highly expressed in PTC cancer tissues,which may promote PTC cell proliferation,migration,invasion,epithelial mesenchymal transi-tion,and inhibit cell apoptosis by targeting miR-451 expression inhibition.

Objective To explore the application status and development trend of machine learning in the field of pharmacovigilance worldwide,and to provide reference for the research on the application of machine learning in the field of pharmacovigilance.Methods Relevant literature was searched in the Web of Science with the key words of"machine learning"and"pharmacovigilance"from the inception to March 1,2023.R language and other software were used to quantitatively analyze the literature data in this field.The clustering,co-occurrence and emergence visual analysis were carried out on the characteristics of annual published papers,institutions,countries,keywords and other aspects.Results A total of 904 literature were included.The number of literature published showed a fluctuating upward trend since 1994.There was cross-regional,cross-regional and cross-agency cooperation among the cooperative network institutions.The top 5 countries in the number of publications were the United States,China,Japan,South Korea and India,China and the United States had relatively close cooperation in this field.Signal detection,social media and electronic health records were high-frequency keywords in this field.Clustering and association rule analysis showed that this field focused on three aspects signal recognition,unstructured text mining and analysis,and processing and analysis of electronic medical information.At present,machine learning has made significant progress in signal recognition,social media information mining,and unstructured text processing of electronic medical information,which broaden the data sources of pharmacovigilance,improve the real-time monitoring ability of adverse drug reactions,bringing innovation impetus to the field of pharmacovigilance.Conclusion The rapid development of big data and artificial intelligence technologies has led to an increasing integration of machine learning into the field of pharmacovigilance,which promotes technical exchanges and cooperation and cross-disciplinary integration.It is necessary to optimize each machine learning algorithm to improve its accuracy and stability in pharmacovigilance,strengthen the protection measures of data privacy and security to ensure the safety of patient information.Integrating expertise in the fields of science,medicine,and data statistics with a view to promoting technological progress in the field of pharmacovigilance.

Objective:To investigate the endoscopic combined serological diagnosis strategy for G1 and G2 gastric neuroendocrine neoplasms (G-NENs), and to evaluate the safety, short-term, and long-term efficacy of two endoscopic treatment procedures: endoscopic mucosal resection (EMR) and endoscopic submucosal dissection (ESD).Methods:This study retrospectively analyzed the clinical data of 100 consecutive patients with G-NENs who were hospitalized at the Cancer Hospital of the Chinese Academy of Medical Sciences from January 2011 to October 2023. These patients underwent endoscopic treatment, and propensity score matching (PSM) was used to compare clinicopathological characteristics, as well as short-term and long-term efficacy of lesions in the EMR group and ESD group before and after treatment.Results:Among the 100 patients with G-NENs, the median age was 54 years old. Before surgery, 29 cases underwent endoscopic combined serological examination, and 24 of them (82.2%) had abnormally elevated plasma chromogranin A. The combined diagnostic strategy for autoimmune atrophic gastritis (AIG) achieved a diagnostic accuracy of 100%(22/22). A total of 235 G-NEN lesions were included, with 84 in the ESD group and 151 in the EMR group. The median size of the lesions in the ESD group (5.0 mm) was significantly larger than that in the EMR group (2.0 mm, P＜0.001). Additionally, the ESD group had significantly more lesions with pathological grade G2[23.8%(20/84) vs. 1.3%(2/151), P＜0.001], infiltration depth reaching the submucosal layer [78.6%(66/84) vs. 51.0%(77/151), P＜0.001], and more T2 stage compared to the EMR group[15.5%(13/84) vs. 0.7%(1/151), P＜0.001]. After PSM, 49 pairs of lesions were successfully matched between the two groups. Following PSM, there were no significant differences in the en bloc resection rate [100.0%(49/49) vs. 100.0%(49/49)], complete resection rate [93.9%(46/49) vs. 100.0%(49/49)], and complication rate [0(0/49) vs. 4.1%(2/49)] between the two groups. During the follow-up period, no recurrence or distant metastasis was observed in any of the lesions in both groups. Conclusions:The combination of endoscopy and serology diagnostic strategy has the potential to enhance the accuracy of diagnosing G1 and G2 stage G-NENs and their background mucosa. Endoscopic resection surgery (EMR, ESD) is a proven and safe treatment approach for G1 and G2 stage G-NENs.

Objective:To investigate the metabolism-related proteins and their presence in the plasma of female androgenetic alopecia (FAGA) patients.Methods:From March 2021 to March 2023, FAGA patients aged 18-50 (FAGA group) and healthy women (HC group) were recruited from the Dermatology Outpatient Department of Huashan Hospital. 3 ml of peripheral venous blood was collected from each participant and centrifuged to obtain plasma. Olink proteomics analysis was performed on the collected plasma, differentially expressed proteins were screened with R language, the diagnostic accuracy of the differentially expressed proteins was assessed using receiver operating characteristic (ROC) curve. Gene ontology (GO) analysis was performed on differentially expressed proteins. Immunofluorescence analysis on hair follicles in the parietal region of the FAGA group and the occipital region of the HC group was performed to validate the differentially expressed proteins identified. SPSS 25.0 software was used to analyze the data, with normal distribution metric data represented by Mean±SD. Student’s t-test was used to compare the basic information of two groups of subjects and the relative fluorescence intensity of differentially expressed proteins in hair follicles. Pearson correlation analysis was performed on plasma metabolism-related proteins and the basic information of subjects. P<0.05 indicates a statistically significant difference. Results:Sixty-one cases were included in the FAGA group, with an average age of (33.8±7.4) years and an onset age of (29.5±7.8) years. Among them, 38 cases were mild FAGA, 14 cases were moderate, and 9 cases were severe. Twenty-seven cases were included in the HC group, with an average age of (32.0±7.7) years. There was no statistically significant difference in the basic information (age, body mass index, testosterone, 25-hydroxyvitamin D, uric acid, and ferritin levels) between the two groups of subjects ( P>0.05). Compared to the HC group, the plasma of the FAGA group showed 26 significantly upregulated differentially expressed proteins ( P<0.05), with AHCY and NECTIN2 exhibiting the most significant differences (all P=0.003). The ROC curve evaluation revealed that the area under the curve for AHCY and NECTIN2 was greater than 0.7, indicating good diagnostic accuracy. The GO analysis revealed that the differentially expressed proteins were primarily enriched in the BAT3 complex (cellular component), ubiquitin-dependent ERAD pathway, natural killer cell activation (biological process), as well as ubiquitin protein ligase binding and ubiquitin-specific protease binding (molecular function). Pearson correlation analysis revealed that AHCY ( r=-0.23, P=0.010) and NECTIN2 ( r=-0.31, P=0.033) were negatively correlated with the severity of hair loss in FAGA patients. The results of hair follicle immunofluorescence analysis showed that the relative fluorescence intensity of AHCY and NECTIN2 in the FAGA group was higher than that in the HC group ( P<0.05). In other words, both AHCY and NECTIN2 were upregulated in the FAGA group. Conclusion:Metabolism-related proteins play an important role in FAGA. AHCY and NECTIN2 may serve as early diagnostic biomarkers for FAGA.

Objective:To investigate the endoscopic combined serological diagnosis strategy for G1 and G2 gastric neuroendocrine neoplasms (G-NENs), and to evaluate the safety, short-term, and long-term efficacy of two endoscopic treatment procedures: endoscopic mucosal resection (EMR) and endoscopic submucosal dissection (ESD).Methods:This study retrospectively analyzed the clinical data of 100 consecutive patients with G-NENs who were hospitalized at the Cancer Hospital of the Chinese Academy of Medical Sciences from January 2011 to October 2023. These patients underwent endoscopic treatment, and propensity score matching (PSM) was used to compare clinicopathological characteristics, as well as short-term and long-term efficacy of lesions in the EMR group and ESD group before and after treatment.Results:Among the 100 patients with G-NENs, the median age was 54 years old. Before surgery, 29 cases underwent endoscopic combined serological examination, and 24 of them (82.2%) had abnormally elevated plasma chromogranin A. The combined diagnostic strategy for autoimmune atrophic gastritis (AIG) achieved a diagnostic accuracy of 100%(22/22). A total of 235 G-NEN lesions were included, with 84 in the ESD group and 151 in the EMR group. The median size of the lesions in the ESD group (5.0 mm) was significantly larger than that in the EMR group (2.0 mm, P＜0.001). Additionally, the ESD group had significantly more lesions with pathological grade G2[23.8%(20/84) vs. 1.3%(2/151), P＜0.001], infiltration depth reaching the submucosal layer [78.6%(66/84) vs. 51.0%(77/151), P＜0.001], and more T2 stage compared to the EMR group[15.5%(13/84) vs. 0.7%(1/151), P＜0.001]. After PSM, 49 pairs of lesions were successfully matched between the two groups. Following PSM, there were no significant differences in the en bloc resection rate [100.0%(49/49) vs. 100.0%(49/49)], complete resection rate [93.9%(46/49) vs. 100.0%(49/49)], and complication rate [0(0/49) vs. 4.1%(2/49)] between the two groups. During the follow-up period, no recurrence or distant metastasis was observed in any of the lesions in both groups. Conclusions:The combination of endoscopy and serology diagnostic strategy has the potential to enhance the accuracy of diagnosing G1 and G2 stage G-NENs and their background mucosa. Endoscopic resection surgery (EMR, ESD) is a proven and safe treatment approach for G1 and G2 stage G-NENs.

Objective:To investigate the metabolism-related proteins and their presence in the plasma of female androgenetic alopecia (FAGA) patients.Methods:From March 2021 to March 2023, FAGA patients aged 18-50 (FAGA group) and healthy women (HC group) were recruited from the Dermatology Outpatient Department of Huashan Hospital. 3 ml of peripheral venous blood was collected from each participant and centrifuged to obtain plasma. Olink proteomics analysis was performed on the collected plasma, differentially expressed proteins were screened with R language, the diagnostic accuracy of the differentially expressed proteins was assessed using receiver operating characteristic (ROC) curve. Gene ontology (GO) analysis was performed on differentially expressed proteins. Immunofluorescence analysis on hair follicles in the parietal region of the FAGA group and the occipital region of the HC group was performed to validate the differentially expressed proteins identified. SPSS 25.0 software was used to analyze the data, with normal distribution metric data represented by Mean±SD. Student’s t-test was used to compare the basic information of two groups of subjects and the relative fluorescence intensity of differentially expressed proteins in hair follicles. Pearson correlation analysis was performed on plasma metabolism-related proteins and the basic information of subjects. P<0.05 indicates a statistically significant difference. Results:Sixty-one cases were included in the FAGA group, with an average age of (33.8±7.4) years and an onset age of (29.5±7.8) years. Among them, 38 cases were mild FAGA, 14 cases were moderate, and 9 cases were severe. Twenty-seven cases were included in the HC group, with an average age of (32.0±7.7) years. There was no statistically significant difference in the basic information (age, body mass index, testosterone, 25-hydroxyvitamin D, uric acid, and ferritin levels) between the two groups of subjects ( P>0.05). Compared to the HC group, the plasma of the FAGA group showed 26 significantly upregulated differentially expressed proteins ( P<0.05), with AHCY and NECTIN2 exhibiting the most significant differences (all P=0.003). The ROC curve evaluation revealed that the area under the curve for AHCY and NECTIN2 was greater than 0.7, indicating good diagnostic accuracy. The GO analysis revealed that the differentially expressed proteins were primarily enriched in the BAT3 complex (cellular component), ubiquitin-dependent ERAD pathway, natural killer cell activation (biological process), as well as ubiquitin protein ligase binding and ubiquitin-specific protease binding (molecular function). Pearson correlation analysis revealed that AHCY ( r=-0.23, P=0.010) and NECTIN2 ( r=-0.31, P=0.033) were negatively correlated with the severity of hair loss in FAGA patients. The results of hair follicle immunofluorescence analysis showed that the relative fluorescence intensity of AHCY and NECTIN2 in the FAGA group was higher than that in the HC group ( P<0.05). In other words, both AHCY and NECTIN2 were upregulated in the FAGA group. Conclusion:Metabolism-related proteins play an important role in FAGA. AHCY and NECTIN2 may serve as early diagnostic biomarkers for FAGA.