OBJECTIVES: To determine the pharmacological impact of hesperidin, the main component of Citri Reticulatae Pericarpium, on depressive behavior and elucidate the mechanism by which hesperidin treats depression, focusing on the gut-brain axis. METHODS: Fifty-four Sprague Dawley male rats were randomly allocated to 6 groups using a random number table, including control, model, hesperidin, probiotics, fluoxetine, and Citri Reticulatae Pericarpium groups. Except for the control group, rats in the remaining 5 groups were challenged with chronic unpredictable mild stress (CUMS) for 21 days and housed in single cages. The sucrose preference test (SPT), immobility time in the forced swim test (FST), and number in the open field test (OFT) were performed to measure the behavioral changes in the rats. Enzyme-linked immunosorbent assay was used to determine the levels of 5-hydroxytryptamine (5-HT) and brain-derived neurotrophic factor (BDNF) in brain tissue, and the histopathology was performed to evaluate the changes of colon tissue, together with sequencing of the V3-V4 regions of 16S rRNA gene on feces to explore the changes of intestinal flora in the rats. RESULTS: Compared to the control group, the rats in the model group showed notable reductions in body weight, SPF, and number in OFT (P<0.01). Hesperidin was found to ameliorate depression induced by CUMS, as seen by improvements in body weight, SPT, immobility time in FST, and number in OFT (P<0.05 or P<0.01). Regarding neurotransmitters, it was found that at a dose of 50 mg/kg hesperidin treatment upregulated the levels of 5-HT and BDNF in depressed rats (P<0.05). Compared to the control group, the colon tissue of the model group exhibited greater inflammatory cell infiltration, with markedly reduced numbers of goblet cells and crypts and were significantly improved following treatment with hesperidin. Simultaneously, the administration of hesperidin demonstrated a positive impact on the gut microbiome of rats treated with CUMS, such as Shannon index increased and Simpson index decreased (P<0.01), while the abundance of Pseudomonadota and Bacteroidota increased in the hesperidin-treated group (P<0.05). CONCLUSION The mechanism responsible for the beneficial effects of hesperidin on depressive behavior in rats may be related to inhibition of the expressions of BDNF and 5-HT and preservation of the gut microbiota.
Animals ; Hesperidin/therapeutic use* ; Rats, Sprague-Dawley ; Depression/drug therapy* ; Male ; Stress, Psychological/drug therapy* ; Brain/metabolism* ; Brain-Derived Neurotrophic Factor/metabolism* ; Serotonin/metabolism* ; Gastrointestinal Microbiome/drug effects* ; Behavior, Animal/drug effects* ; Rats ; Brain-Gut Axis/drug effects* ; Chronic Disease ; Colon/drug effects*

AIM To study the chemical constituents from the leaves of Cyanocarya paliurus(Batalin)Iljinskaja and their α-glucosidase inhibitory activities.METHODS The 95%ethanol extract from the leaves of C.paliurus was isolated and purified by macroporous resin,silica gel,Sephadex LH-20,polyamide,C18 reversed-phase silica gel and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.Their α-glucosidase inhibitory activities were evaluated by PNPG.RESULTS Fifteen compounds were isolated and identified as cyclopaloside C(1),cyclopaloside A(2),juglanosides E(3),vaccinin A(4),ent-murin A(5),kaempferol 3-O-α-L-rhamnopyranoside(6),kaempferol-3-O-β-D-glucopyranoside(7),kaempferol-3-O-β-D-glucuronide methyl ester(8),kaempferol-3-O-β-D-glucuronide ethyl ester(9),kaempferol-3-O-β-D-glucuronide butyl ester(10),quercetin-3-O-α-L-rhamnopyranoside(11)quercetin-3-O-β-D-glucopyranoside(12),quercetin-3-O-β-D-galactopyranoside(13),quercetin-3-O-β-D-glucuronide butyl ester(14),dihydrokaempferol(15).The IC50 value of total extracts ihibited α-glucosidase was(1.83±0.04)μg/mL,and the IC50 values of compounds 1,4-5 were(29.48±1.86),(0.50±0.07),(0.71±0.07)μmol/L,respectively.CONCLUSION Compound 1 is a new tetrahydronaphthalene glycoside.Compounds 4-5,8-10 and 14 are isolated from the leaves of C.paliurus for the first time.Compounds 4-5 are relatively rare flavonoid lignans with potential inhibitory activities against α-glucosidase.

Near infrared spectroscopy(NIRS)technology combined with chemometrics algorithms has been widely used in quantitative and qualitative analysis of food and medicine.However,traditional chemometrics methods,especially linear classification methods,often yield unsatisfactory results when addressing multi-class classification problems.Convolutional neural network(CNN)is adept at extracting deep-level features from data and suitable for handling non-linear relationships.The modeling performance of CNN depends on the size and diversity of sample,while the collection and preprocessing of NIRS sample data is often time-consuming and labor-intensive.This study proposed a NIRS qualitative analysis method based on data augmentation strategies and CNN.The data augmentation strategy included two steps.Firstly,applying Bootstrap resampling and generative adversarial network(GAN)methods to augment three NIRS datasets(Medicine,coffee and grape).Secondly,combining the original samples(Y)with the Bootstrap augmented samples(B)and GAN augmented samples(G)to obtain three augmented datasets(Y-B,Y-G and Y-B-G).Based on this,a CNN model structure suitable for these datasets was designed,consisting of 2 one-dimensional convolutional layers,1 max-pooling layer,and 1 fully connected layer.The results showed that compared to the optimal models of partial least squares discriminant analysis(PLS-DA),support vector machine(SVM),and back propagation neural network(BP),the CNN model based on Y-B dataset achieved average accuracy improvements of 3.998%,9.364%,and 4.689%for medicine(Binary classification);the CNN model based on the Y-B-G dataset achieved average accuracy improvements of 6.001%,2.004%,and 7.523%for coffee(7-class classification);and the CNN model based on the Y-B dataset achieved average accuracy improvements of 33.408%,51.994%,and 34.378%for grapes(20-class classification).It was evident that the models established based on data augmentation strategies and CNN demonstrated better classification accuracy and generalization performance with different datasets and classification categories.

The coronavirus disease 2019 (COVID-19) is an acute infectious disease caused by the new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, which has led to serious worldwide economic burden. Due to the continuous emergence of variants, vaccines and monoclonal antibodies are only partial effective against infections caused by distinct strains of SARS-CoV-2. Therefore, it is still of great importance to call for the development of broad-spectrum and effective small molecule drugs to combat both current and future outbreaks triggered by SARS-CoV-2. Cathepsin L (CatL) cleaves the spike glycoprotein (S) of SARS-CoV-2, playing an indispensable role in enhancing virus entry into host cells. Therefore CatL is one of the ideal targets for the development of pan-coronavirus inhibitor-based drugs. In this study, a CatL enzyme inhibitor screening model was established based on fluorescein labeled substrate. Two CatL inhibitors IMB 6290 and IMB 8014 with low cytotoxicity were obtained through high-throughput screening, the half inhibition concentrations (IC₅₀) of which were 11.53 ± 0.68 and 1.56 ± 1.10 μmol·L^-1, respectively. SDS-PAGE and cell-cell fusion experiments confirmed that the compounds inhibited the hydrolysis of S protein by CatL in a concentration-dependent manner. Surface plasmon resonance (SPR) detection showed that both compounds exhibited moderate binding affinity with CatL. Molecular docking revealed the binding mode between the compound and the CatL active pocket. The pseudovirus experiment further confirmed the inhibitory effects of IMB 8014 on the S protein mediated entry process. In vitro pharmacokinetic evaluation indicated that the compounds had relatively good drug-likeness properties. Our research suggested that these two compounds have the potential to be further developed as antiviral drugs for COVID-19 treatment.

Objective To establish a method to identify an unknown substance based on the combined use of gas chromatography-quadrupole time-of-flight mass spectrometry(GC-QTOF-MS),ultra-high performance liquid chromatography-quadrupole/electrostatic field orbitrap high resolution mass spectrometry(UPLC-Q/Orbitrap HRMS)and nuclear magnetic resonance(NMR)techniques.Methods The unknown substance was dissolved in methanol and was detected by GC-QTOF-MS and UPLC-Q/Orbitrap HRMS,and was dissolved in methanol-d4 to be detected by NMR.Results The main characteristics ion peaks of components with retention time of 9.67 min in GC-QTOF-MS measured were 84.080 8,110.999 7,128.107 0(base peak),138.994 7,etc.The protonated molecular ion peak m/z in UPLC-Q/Orbitrap HRMS was 268.109 3.It was inferred that the unknown substance was an analog of the syn-thetic cathinone substance 2-methyl-1-[4-(methylthio)phenyl]-2-morpholinopropan-1-one(MTMP)by comparing the mass spectrum information and molecular structure of MTMP.NMR analysis confirmed it as a novel N-morpholine substituted synthetic cathinone substance 1-(4-chlorophenyl)-2-methyl-2-morpholinopropan-1-one(CMMP).Conclusion The method established in this study can be used for structural confirmation of CMMP.

Objective To establish a rapid screening method for 60 types of natural toxins in whole blood by ultra-high performance liquid chromatography-quadrupole/electrostatic field orbitrap high reso-lution mass spectrometry(UPLC-Q/Orbitrap HRMS).Methods The chromatographic and mass spectro-metric information of 60 standard samples of natural toxins were analyzed and recorded,and a screening database was built.Whole blood was pretreated by protein precipitation method combined with ultrasonic-assisted dispersion,and then a Hypersil GOLDTM C18 column was used with 5 mmol/L ammonium for-mate aqueous solution(containing 0.1%formic acid)and acetonitrile as mobile phase for gradient elu-tion.In the positive ion mode,the data were collected in full scan/data-dependent secondary scan(Full MS/dd-MS2)mode.Based on the established screening library,the rapid screening of 60 types of natural toxins in whole blood was realized by TraceFinder software.Results A UPLC-Q/Orbitrap HRMS method was developed for the screening of 60 types of natural toxins in whole blood.Except for the limit of detection(LOD)of oxymatrine(20 ng/mL)and strophanthidin(40 ng/mL),the LOD for the other 58 natural toxins was in the range of 0.05-5 ng/mL.Conclusion This method has a simple and efficient pretreatment process and can achieve rapid screening of 60 types of natural toxins in whole blood.

Objective To analyze the characteristics of drug resistance in patients with disseminated pulmonary tuberculosis,and provide references for the clinical development of individualized treatment plans.Methods A retrospective analysis was conducted on 71 hospitalized patients with disseminated pulmonary tuberculosis treated at the Beijing Chest Hospital,Capital Medical University from January 2015 to January 2024.The susceptibility of Mycobacterium tuberculosis from these patients to 16 anti-tuberculosis drugs was detected using the microplate method for mycobacterial drug susceptibility testing.The study analyzed the culture results of Mycobacterium tuberculosis,drug susceptibility test results,initial treatment or re-treatment status,drug resistance,and differences in drug resistance types between initial and re-treated patients.Results Among the 71 patients with disseminated pulmonary tuberculosis,there were 51 males(71.8%),and 58 cases(81.7%)of acute disseminated pulmonary tuberculosis,with an overall drug resistance rate to 16 anti-tuberculosis drugs of 38.0%.There was no statistically significant difference in the total drug resistance rate between re-treated patients and those undergoing initial treatment[52.2%(12/23)vs.31.3%(15/48),P=0.089].The top 7 drugs to which patients were resistant were streptomycin(Sm)and isoniazid(INH)with 13 cases each(18.3%),rifapentine(Rft)and isoniazid aminosalicylate(Pa)with 10 cases each(14.1%),rifampicin(RFP),rifabutin(Rfb),and capreomycin(Cm)with 9 cases each(12.7%).The top 6 drugs to which initially treated patients were resistant were Cm with 6 cases(12.5%),Sm with 5 cases(10.4%),Pa with 4 cases(8.3%),INH,clarithromycin(Clr),and p-aminosalicylic acid(PAS)with 3 cases each(6.3%).The top 7 drugs to which re-treated patients were resistant were INH with 10 cases(43.5%),Sm,RFP,and Rft with 8 cases each(34.8%),Rfb with 7 cases(30.4%),Pa and levofloxacin(Lfx)with 6 cases each(26.1%).The overall mono-resistance rate,poly-drug resistance rate,and multidrug-resistant rate to 16 anti-tuberculosis drugs were 9.9%,7.0%,and 11.3%,respectively;all mono-resistance patients were initially treated;there was no statistically significant difference in the poly-drug resistance rate between re-treated and initially treated patients(13.0%vs.4.2%,P=0.591),but the multidrug-resistant rate was significantly higher in re-treated patients(30.4%vs.2.1%,P=0.002).Conclusion Drug resistance in disseminated pulmonary tuberculosis is severe.Clinical physicians can develop personalized anti-tuberculosis treatment plans based on drug susceptibility test results.

Objective: A Mendelian randomization (MR) analysis was performed to assess the relationship between tea consumption and cancer. Methods: There were 100 639 participants with the information of gene sequencing of whole genome in the China Kadoorie Biobank. After excluding those with cancer at baseline survey, a total of 100 218 participants were included in this study. The baseline information about tea consumption were analyzed, including daily tea consumption or not, cups of daily tea consumption, and grams of daily tea consumption. We used the two-stage least square method to evaluate the associations between three tea consumption variables and incidence of cancer and some subtypes, including stomach cancer, liver and intrahepatic bile ducts cancer, colorectal cancer, tracheobronchial and lung cancer, and female breast cancer. Multivariable MR and analysis only among nondrinkers were used to control the impact of alcohol consumption. Sensitivity analyses were also performed, including inverse variance weighting, weighted median, and MR-Egger. Results: We used 54, 42, and 28 SNPs to construct non-weighted genetic risk scores as instrumental variables for daily tea consumption or not, cups of daily tea consumption, and grams of daily tea consumption, respectively. During an average of (11.4±3.0) years of follow-up, 6 886 cases of cancer were recorded. After adjusting for age, age², sex, region, array type, and the first 12 genetic principal components, there were no significant associations of three tea consumption variables with the incidence of cancer and cancer subtypes. Compared with non-daily tea drinkers, the HR (95%CI) of daily tea drinkers for cancer and some subtypes, including stomach cancer, liver and intrahepatic bile ducts cancer, colorectal cancer, tracheobronchial and lung cancer, and female breast cancer, are respectively 0.99 (0.78-1.26), 1.17 (0.58-2.36), 0.86 (0.40-1.84), 0.85 (0.42-1.73), 1.39 (0.85-2.26) and 0.63 (0.28-1.38). After controlling the impact of alcohol consumption and performing multiple sensitivity analyses, the results were similar. Conclusion: There is no causal relationship between tea consumption and risk of cancer in population in China.
Humans ; Female ; Stomach Neoplasms/epidemiology* ; Mendelian Randomization Analysis/methods* ; Tea ; Breast Neoplasms ; Lung Neoplasms ; Colorectal Neoplasms ; Polymorphism, Single Nucleotide ; Genome-Wide Association Study

Objective: To analyze the short-time efficacy of empagliflozin in the treatment of glycogen storage disease type Ⅰb (GSD Ⅰb). Methods: In this prospective open-label single-arm study, the data of 4 patients were collected from the pediatric department in Peking Union Medical College Hospital from December 2020 to December 2022. All of them were diagnosed by gene sequencing and had neutropenia. These patients received empagliflozin treatment. Their clinical symptoms such as height and weight increase, abdominal pain, diarrhea, oral ulcer, infection times, and drug applications were recorded at 2 weeks, 1 month, 2 months, 3 months, 6 months, 9 months, 12 months, and 15 months after treatment to assess the therapeutic effect. The liquid chromatography-tandem mass spectrometry method was used to monitor the changes in 1, 5-anhydroglucitol (1, 5AG) concentration in plasma. At the same time, adverse reactions such as hypoglycemia and urinary tract infection were closely followed up and monitored. Results: The 4 patients with GSD Ⅰb were 15, 14, 4 and 14 years old, respectively at the beginning of empagliflozin treatment, and were followed up for 15, 15, 12 and 6 months, respectively. Maintenance dose range of empagliflozin was 0.24-0.39 mg/(kg·d). The frequency of diarrhea and abdominal pain decreased in cases 2, 3, and 4 at 1, 2 and 3 months of treatment, respectively. Their height and weight increased at different degrees.The absolute count of neutrophils increased from 0.84×10⁹, 0.50×10⁹, 0.48×10⁹, 0.48×10⁹/L to 1.48×10⁹, 3.04×10⁹, 1.10×10⁹, 0.73×10⁹/L, respectively. Granulocyte colony-stimulating factor was gradually reduced in 1 patients and stopped in 3 patient. Plasma 1, 5 AG levels in 2 children were significantly decreased after administration of empagliflozin (from 46.3 mg/L to 9.6 mg/L in case 2, and from 56.1 mg/L to 15.0 mg/L in case 3). All 4 patients had no adverse reactions such as hypoglycemia, abnormal liver or kidney function, or urinary system infection. Conclusion: In short-term observation, empagliflozin can improve the symptoms of GSD Ⅰb oral ulcers, abdominal pain, diarrhea, and recurrent infection, also can alleviate neutropenia and decrease 1, 5AG concentration in plasma, with favorable safety.
Humans ; Child ; Child, Preschool ; Adolescent ; Prospective Studies ; Glycogen Storage Disease Type I/drug therapy* ; Neutropenia ; Abdominal Pain ; Diarrhea/drug therapy* ; Hypoglycemia

Objective: Constructing and validating a nomogram model for preoperative prediction of intrahepatic cholangiocarcinoma (ICC) lymph node metastasis to assist decision making during surgery. Methods: Retrospectively collecting the clinical and pathological data of 1 031 ICC patients who underwent partial hepatectomy at Eastern Hepatobiliary Surgery Hospital of Naval Military Medical University,General Hospital of Eastern Theater Command,or Zhongda Hospital Southeast University from January 2003 to January 2014. There were 682 males and 349 females; mean age was 54.7 years(range:18 to 82 years). There were 562 patients who underwent lymph node dissection and 469 patients who did not. Among the patients in the dissection group,Lasso regression method was used to filtrate preoperative variables related to lymph node metastasis and establish a nomogram. Bootstrap method was used to internally validate the discrimination of the nomogram,and the accuracy of the nomogram was assessed by using calibration curves. Patients were divided into low-moderate and high-risk groups based on model prediction probability. Propensity score matching(PSM) was used to analyze the overall survival (OS) and recurrence-free survival (RFS) of patients with and without lymph node dissection in the two groups,and to judge the importance of lymph node dissection in the two groups. Results: Six factors related to ICC lymph node metastasis were determined by Lasso regression,including hepatitis B surface antigen,CA19-9,age,lymphadenopathy,carcinoembryo antigen and maximum tumor diameter. These factors were integrated into a nomogram to predict ICC lymph node metastasis. The aera under curve value was 0.764,and the C-index was 0.754. Stratified analysis showed that OS and RFS in the high-risk group of lymph node metastasis were significantly lower than those in the low-medium risk group(median OS:14.6 months vs. 27.0 months,P<0.01; median RFS:9.1 months vs. 15.5 months,P<0.01). In the high-risk group,the median OS was 16.7 months and 6.3 months(Log-rank test: P=0.187;Wilcoxon test:P=0.046),and the median RFS was 11.0 months and 4.8 months(P=0.403),respectively in the lymph node dissection group and undissected group after PSM. In the low-medium-risk group,the median OS was 22.7 months and 26.7 months(P=0.288),and the median RFS was 13.0 months and 14.5 months(P=0.306),respectively in the lymph node dissection group and undissected group after PSM. Conclusions: The nomogram could be used for preoperative prediction of lymph node metastasis and prognostic stratification in patients with ICC. For patients with high risk of lymph node metastasis predicted by the model,active dissection should be performed. For patients predicted to be at low-moderate risk,lymph node dissection might be optional in some specific cases.
Bile Duct Neoplasms/surgery* ; Bile Ducts, Intrahepatic/pathology* ; Cholangiocarcinoma/surgery* ; Female ; Humans ; Lymph Node Excision ; Lymph Nodes/pathology* ; Lymphatic Metastasis ; Male ; Middle Aged ; Nomograms ; Prognosis ; Retrospective Studies