ObjectiveTo investigate the effect of kynurenine-3-monooxygenase （KMO） on the function of fibroblast-like synoviocytes （FLS） in rheumatoid arthritis （RA）. MethodsKMO expression in synovial tissues from RA patients and healthy controls （HC） was analyzed using bioinformatics. Synovial tissues from RA patients and HC were collected， and KMO expression in FLS within synovial tissues was detected by immunofluorescence （IF）. In vitro experiments were performed using human rheumatoid arthritis fibroblast-like synoviocytes （MH7A）. Following KMO overexpression， KMO knockdown， and KMO inhibition with the specific inhibitor Ro61-8048 in MH7A cells， Western blot， CCK-8， EdU， Transwell and ELISA assays were used to evaluate alterations in cell viability， proliferation， migration and secretory function. ResultsBioinformatic analysis revealed significantly higher KMO gene expression in RA synovial tissue compared to the HC group （P<0.001）. IF results showed increased KMO expression in FLS from RA synovial tissues relative to the HC group （P<0.01）. Overexpression of KMO led to enhanced viability， proliferation， migration， and secretory capabilities of MH7A cells （all P<0.05）， whereas knockdown or inhibition of KMO with Ro61-8048 markedly suppressed these functions （all P<0.05）. ConclusionThe expression of KMO is upregulated in the synovial tissues of RA patients and promotes the activation of RA-FLS， suggesting that KMO may serve as a potential therapeutic target for RA treatment.

Objective : To investigate the expression and clinical significance of kynurenine-3-monooxygenase (KMO) in peripheral blood mononuclear cells ( PBMC ) ，synovial tissue ，and fibroblastic-like synovial cells (FLS) of rheumatoid arthritis (RA) patients． Methods : Peripheral blood samples from 25 healthy control ( HC) individuals and 25 patients diagnosed with RA were collected ，and real-time fluorescence quantitative PCR and Western blot were used to detect KMO gene and protein expression in PBMC of RA and HC groups，and to analyze the correlation between the expression level of the KMO gene in the PBMC of the RA patients and the indexes of the laboratory tests．Meanwhile，immunohistochemistry and immunofluorescence were used to detect KMO expression in synovial tissue and FLS in RA and HC groups． Results : ① KMO gene and protein expression in PBMC of RA group were higher than that of HC group，and the difference was statistically significant (P＜0. 001) ．② The level of KMO gene expression in PBMC of RA group was positively correlated with disease activity index 28 score，blood sedimentation，and rheumatoid factor (rs = 0. 417，P = 0. 038 ; r = 0. 545，P = 0. 005 ; rs = 0. 433，P = 0. 031) ， and had no correlation with C-reactive protein and anti-cyclic citrullinated polypeptide antibody．③ KMO expres- sion in synovial tissue of RA group was higher than that of HC group，and the difference was statistically significant (P＜0. 01) ; KMO expression in FLS of synovial tissue of RA group was higher than that of HC group，and the difference was statistically significant (P ＜0. 001) ． Conclusion KMO expression increases in PBMC ，synovial tissue and FLS of RA patients，and the level of KMO gene expression is correlated with the disease activity of RA patients，suggesting that KMO may promote the course of RA．

Objective To investigate the effect and mechanism of edaravone(Eda)on myocardial injury in chronic heart failure(CHF)rats by regulating Notch/Hes-1 signaling pathway.Methods The CHF rat model was established and the rats were separated into sham surgery(S)group,model(M)group,low dose Eda(Eda-L)group,medium dose Eda(Eda-M)group,high dose Eda(Eda-H)group,and Eda-H+Notch signal pathway inhibitor DAPT(Eda-H+DAPT)group,with 25 rats in each group.Echocardiography was applied to detect the levels of left ventricular end diastolic diameter(LVEDd),left ventricular end-systolic diameter(LVEDs),and left ventricular ejection fraction(LVEF)in rats.ELISA was applied to detect levels of tumor necrosis factor-α(TNF-α),interleukin(IL)-1β,IL-6,malondialdehyde(MDA),superoxide dismutase(SOD),and angiotensin Ⅱ(Ang Ⅱ)in serum.Myocardial infarction was observed by 2,3,5-triphenyl tetrazolium chloride(TTC)staining.HE staining,TUNEL staining and Masson staining were applied to observe the morphological changes of myocardial tissue,myocardial cell apoptosis and myocardial fibrosis respectively.immunohistochemistry was applied to detect the expression of collagen Ⅰ and angiotensin converting enzyme 2(ACE2)proteins in myocardial tissue.Western blotting was applied to detect the expression of Notch 1,Hes-1,transforming growth factor-β1(TGF-β1),Bcl-2,Bax,and Caspase-3 proteins in myocardial tissue.Results Compared with the sham group,the distribution of cardiomyocytes in model group was disordered,and severe inflammatory symptoms.There was a large amount of blue collagen deposition between the perivascular area and the myocardium.The LVEDd,LVEDs,TNF-α,IL-1β,IL-6,MDA and Ang Ⅱ levels,myocardial infarction size,cardiomyocyte apoptosis rate,Collagen Ⅰ,Bax,Caspase-3 and TGF-β1 protein expressions increased obviously(P＜0.05),the LVEF,SOD levels,ACE2,Bcl-2,Notch 1,and Hes-1 protein expressions were obviously reduced(P＜0.05).Compared with the model group,the myocardial tissue damage was reduced in the Eda-L,Eda-M,and Eda-H groups,with reduced inflammatory cell infiltration and collagen deposition;The LVEDd,LVEDs,TNF-α,IL-1β,IL-6,MDA and Ang Ⅱ levels,myocardial infarction size,cardiomyocyte apoptosis rate,collagen Ⅰ,Bax,Caspase-3 and TGF-β1 protein expressions reduced obviously(P＜0.05),the LVEF,SOD levels,ACE2,Bcl-2,Notch 1,and Hes-1 protein expressions increased obviously(P＜0.05).Notch signaling pathway inhibitor DAPT reversed the protective effect of edaravone on myocardial injury in rats with CHF(P＜0.05).Conclusion Edaravone may improve myocardial injury in CHF rats by activating Notch/Hes-1 signaling pathway.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Aim To investigate the role of tryptophan 2,3-dioxygenase(TDO2)in cisplatin-acute kidney in-jury(Cis-AKI)and to explore the mechanism of TDO2 in relation to apoptosis in tubular epithelial cells(TECs)to investigate the mechanism of TDO2 associ-ated with apoptosis.Methods An AKI model was es-tablished by intraperitoneal injection of cisplatin(Cis).Colorimetric assay was used to detect CRE and BUN levels,and PAS staining was employed to observe renal injury in mice.Immunohistochemistry was used to detect TDO2 protein expression and distribution and macrophage(F4/80+)infiltration;immunofluores-cence was used to detect the co-localization of TDO2 with the tubular marker LTL;TUNEL staining was used to detect apoptosis in mouse kidney;flow cytome-try was used to detect overexpression of human renal cortical proximal tubular epithelial cells(HK2)and apoptosis after administration of the TDO2 inhibitor 680C91;Western blot was used to detect TDO2 and NF-κB pathway protein levels in HK2 cells after over-expression and inhibition of TDO2.Results In the o-verall animal experiments,Cis-AKI mice showed signif-icantly higher levels of CRE and BUN and obvious tu-bular damage compared with the control group;at the same time,the renal tissues of Cis-AKI mice showed increased expression of F4/80,and the proportion of apoptotic cells in kidney cells was increased.Immuno-histochemistry and immunofluorescence showed that the expression of TDO2 increased,mainly localized in TECs.In cellular experiments,HK2 cells overexpress-ing TDO2 increased the proportion of apoptosis,and the expression of TDO2,p-IKBα,and p-p65 proteins was elevated,and p-IKBα/IκBα and p-p65/p65 were ele-vated;furthermore,the proportion of apoptosis was re-duced by the administration of 680C91,and the expres-sion of p-IκBα,and p-p65 proteins decreased,and the expression of p-IKBα/IKBα,and p-p65/p65 de-creased.Conclusions Elevated TDO2 in TECs is in-volved in the pathological mechanism of Cis-AKI,which may be related to its induction of apoptosis in TECs and activation of the NF-κB signaling pathway and consequently renal injury.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Aim To investigate the role of tryptophan 2,3-dioxygenase(TDO2)in cisplatin-acute kidney in-jury(Cis-AKI)and to explore the mechanism of TDO2 in relation to apoptosis in tubular epithelial cells(TECs)to investigate the mechanism of TDO2 associ-ated with apoptosis.Methods An AKI model was es-tablished by intraperitoneal injection of cisplatin(Cis).Colorimetric assay was used to detect CRE and BUN levels,and PAS staining was employed to observe renal injury in mice.Immunohistochemistry was used to detect TDO2 protein expression and distribution and macrophage(F4/80+)infiltration;immunofluores-cence was used to detect the co-localization of TDO2 with the tubular marker LTL;TUNEL staining was used to detect apoptosis in mouse kidney;flow cytome-try was used to detect overexpression of human renal cortical proximal tubular epithelial cells(HK2)and apoptosis after administration of the TDO2 inhibitor 680C91;Western blot was used to detect TDO2 and NF-κB pathway protein levels in HK2 cells after over-expression and inhibition of TDO2.Results In the o-verall animal experiments,Cis-AKI mice showed signif-icantly higher levels of CRE and BUN and obvious tu-bular damage compared with the control group;at the same time,the renal tissues of Cis-AKI mice showed increased expression of F4/80,and the proportion of apoptotic cells in kidney cells was increased.Immuno-histochemistry and immunofluorescence showed that the expression of TDO2 increased,mainly localized in TECs.In cellular experiments,HK2 cells overexpress-ing TDO2 increased the proportion of apoptosis,and the expression of TDO2,p-IKBα,and p-p65 proteins was elevated,and p-IKBα/IκBα and p-p65/p65 were ele-vated;furthermore,the proportion of apoptosis was re-duced by the administration of 680C91,and the expres-sion of p-IκBα,and p-p65 proteins decreased,and the expression of p-IKBα/IKBα,and p-p65/p65 de-creased.Conclusions Elevated TDO2 in TECs is in-volved in the pathological mechanism of Cis-AKI,which may be related to its induction of apoptosis in TECs and activation of the NF-κB signaling pathway and consequently renal injury.

AIM To study the phenylpropanoids from Brandisia hancei Hook.f.and their antioxidant activities.METHODS The extract from B.hancei was isolated and purified by Rp-C18,MCI,semi-preparative HPLC,silica gel and Sephadex LH-20,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The cytotoxicities was determined by MTT method,and the antioxidant activities were determined by DPPH and ABTS+free radical scavenging methods.RESULTS Fifteen phenylpropanoids were isolated and identified as(+)-pinonesinol(1),(-)-medioresinol(2),(-)-syringaresinol(3),buddlenol D(4),(7R,7'R,7″S,8S,8'S,8″S)-4',5″-dihydroxy-3,5,3',4″-tetramethoxy-7,9':7',9-diepoxy-4,8″-oxy-8,8'-sesquineo-lignan-7″,9″-diol(5),(-)-(7R,7'R,7″R,8S,8'S,8″S)-4',4″-dihydroxy-3,3',3″,5-tetramethoxy-7,9':7',9-diepoxy-4,8″-oxy-8,8'-sesquineolignan-7″,9″-diol(6),hedyotol A(7),dracunculifoside R(8),acteoside(9),isoacteoside(10),arenarioside(11),isomartynoside(12),curcasinlignan B(13),erythro-2,3-bis(4-hydroxy-3-methoxyphenyl)-3-ethoxypropan-l-ol(14),citrusin C(15).Compounds 1-4 and 9-10 had no obvious cytotoxicity to HepG2 hepatoma cells.Compounds 1,3,9,10 and 12 had strong scavenging activities against DPPH radicals.Compounds 1-3,9-10,12 and 14 showed strong scavenging activities against ABTS+radical.CONCLUSION Compounds 1-8 and 12-15 are isolated from genus Brandisia for the first time.The phenylpropanoids from B.hancei show strong antioxidant activities.

Vaccines are among the most effec-tive measures for preventing infectious diseases and play a crucial role in controlling the spread of these diseases.Adjuvants,serving as auxiliary com-ponents in vaccines,are indispensable in the vac-cine development process.Ideal adjuvants not only enhance the immune response,enabling the body to achieve optimal protective immunity but also play important roles in reducing the dosage of im-munogens and lowering vaccine production costs.To meet the demands of novel vaccines,many new types of adjuvants have been developed.However,there is still a lack of adjuvants that are safe,effec-tive,easy to prepare,highly pure,and suitable for a variety of vaccines in clinical settings.This article categorizes adjuvants and summarizes their mecha-nisms of action and characteristics,focusing on tra-ditional aluminum salt adjuvants and more modern lipid-based and nucleic acid-based adjuvants.The summary is based on a computer search of data-bases including PubMed,Embase,The Cochrane Li-brary,CNKI(China National Knowledge Infrastruc-ture),VIP Database,and Wanfang Database,using English search keywords such as Adjuvants,Vac-cine,Vaccine Adjuvant,aluminum salts,MF59,AS03,Toll-like receptor agonist,etc.,and corre-sponding Chinese search terms.The aim is to pro-vide references for the development and applica-tion of adjuvants.

The purpose of this research is to identify the chemical constituents of sea buckthorn leaves extract (SBLE) and explore its hypoglycemic biological activity. SBLE was prepared by hot reflux extraction with 65% ethanol, and its chemical composition was analyzed by ultra-high-performance liquid chromatography-photodiode array-mass spectrometry/mass spectrometry (UHPLC-PDA-MS/MS) system. The animal experiments were compliant with ethical principles for animal use and had been approved by the Animal Experiment Ethics Committee of Jinan University. Mice were injected with streptozocin (STZ) to establish a hyperglycemic animal model, and SBLE (1.5 g·kg^-1) was administered by gavage for 5 weeks. The fasting blood glucose (FBG) and oral glucose tolerance were detected. Normal mice were given SBLE (1.5 g·kg^-1) by intragastric administration for 10 days, and blood was collected from the tail vein to detect the changes in blood glucose within 120 min after sucrose or starch loading. The mucous membrane of the small intestine of mice was taken to detect the activity of α-glucosidase (AG), and the activity of yeast-derived AG incubated with SBLE was evaluated. The glucose uptake by Caco-2 cells treated with SBLE was detected by fluorescence microscopy and cytometry, and the gene expression of sodium-dependent glucose transporter 1 (SGLT1) and glucose transporter 2 (GLUT2) in Caco-2 cells were detected by real-time quantitative PCR (qPCR). A total of 18 compounds were identified, mainly including tannins and flavonoids. SBLE reduced FBG and increased oral glucose tolerance in STZ hyperglycemic mice. SBLE effectively inhibited the increase of blood glucose caused by starch intake in normal mice. SBLE exerted good inhibitory activity on yeast-derived AG (IC₅₀ = 16.94 μg·mL^-1) and small intestinal mucosa AG with an inhibition rate of 15.48%. SBLE (25-100 μg·mL^-1) dose-dependently inhibited glucose uptake by Caco-2 cells, and SBLE significantly reduced the mRNA level of SGLT1 without changing the expression of GLUT2. In conclusion, the UHPLC characteristic fingerprint of SBLE is established with 18 chemical components identified by mass spectrometry, and SBLE exerts hypoglycemic effect by inhibiting the activity of AG and the absorption of glucose by intestinal epithelial cells.