Objective To explore the predictive markers of senescence-associated secretory phenotype(SASP)in osteoarthritis(OA).Methods OA datasets were screened by the Gene Expression Omnibus(GEO)database,while SASP-related genes were collected by PubMed.Three machine learning algorithms,including least absolute shrinkage and selection operator(LASSO),support vector machines recursive feature elimination(SVM-RFE),and random forest(RF),were used to screen the candidate predictive markers of SASP genes in OA,and the OA prediction model was constructed using the overlapping genes identified by the machine learning algo-rithms.CIBERSORT was used to explore the degree of peripheral blood immune cell infiltration in OA versus normal samples.The miRNA-transcription factor-mRNA regulatory network of the model genes was predicted using Cytoscape.The most valuable genes of the predic-tion model were experimentally verified by real-time quantitative polymerase chain reaction(RT-qPCR)in OA rats and normal control rats(n= 6 per group).Results One OA dataset was screened by the GEO database,and 125 OA-related SASP genes were isolated.A total of seven intersection genes were obtained by the three machine learning algorithms.The area under the curve of the prediction model was 0.891.The CIBERSORT immune infiltration results showed a significant difference in plasma cell infiltration level between OA and normal samples(P= 0.001 3).The RT-qPCR results showed that the expression level of TNFRSF1Awas significantly higher in the OA versus normal group(P<0.0001).Conclusion TNFRSF1Ais highly expressed in OA and may be a potential predictive marker for it.

In this study, untargeted metabolomics technology based on ultra-high-performance liquid chromatography-quadrupole/time of flight mass spectrometry (UPLC-Q-TOF-MS/MS) was used to analyze and identify the overall chemical components of Juniperri Caulis et Folium. Chemical markers for the identification of different Juniperri Caulis et Folium species were screened by integrated principal component analysis and partial least squares discriminant analysis. A total of 58 chemical components were detected and 46 of them were identified, including 26 flavonoids, 8 organic acids and their derivatives, 4 phenylpropanoids, 3 terpenoids, and 5 other components. Among them, methylsyringin and ekersenin were identified for the first time. In the positive ion mode, 12 markers were screened, and in the negative ion mode, 13 markers were screened for species identification. In summary, UPLC-Q-TOF-MS/MS metabonomics technology combined with chemometrics method can effectively reveal the chemical composition differences of different Juniperri Caulis et Folium species, and provide reference for its species identification and quality control.

OBJECTIVES: To investigate the risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture and establish a nomogram model for predicting the risk of neonatal asphyxia. METHODS: A retrospective study was conducted with 613 cases of neonatal asphyxia treated in 20 cooperative hospitals in Enshi Tujia and Miao Autonomous Prefecture from January to December 2019 as the asphyxia group, and 988 randomly selected non-asphyxia neonates born and admitted to the neonatology department of these hospitals during the same period as the control group. Univariate and multivariate analyses were used to identify risk factors for neonatal asphyxia. R software (4.2.2) was used to establish a nomogram model. Receiver operator characteristic curve, calibration curve, and decision curve analysis were used to assess the discrimination, calibration, and clinical usefulness of the model for predicting the risk of neonatal asphyxia, respectively. RESULTS: Multivariate logistic regression analysis showed that minority (Tujia), male sex, premature birth, congenital malformations, abnormal fetal position, intrauterine distress, maternal occupation as a farmer, education level below high school, fewer than 9 prenatal check-ups, threatened abortion, abnormal umbilical cord, abnormal amniotic fluid, placenta previa, abruptio placentae, emergency caesarean section, and assisted delivery were independent risk factors for neonatal asphyxia (P<0.05). The area under the curve of the model for predicting the risk of neonatal asphyxia based on these risk factors was 0.748 (95%CI: 0.723-0.772). The calibration curve indicated high accuracy of the model for predicting the risk of neonatal asphyxia. The decision curve analysis showed that the model could provide a higher net benefit for neonates at risk of asphyxia. CONCLUSIONS The risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture are multifactorial, and the nomogram model based on these factors has good value in predicting the risk of neonatal asphyxia, which can help clinicians identify neonates at high risk of asphyxia early, and reduce the incidence of neonatal asphyxia.
Infant, Newborn ; Humans ; Male ; Pregnancy ; Female ; Nomograms ; Retrospective Studies ; Cesarean Section ; Risk Factors ; Asphyxia Neonatorum/etiology*

Humans ; Receptors, Chimeric Antigen ; Immunotherapy, Adoptive ; Hematologic Neoplasms/therapy* ; Cell- and Tissue-Based Therapy

Objective:To investigate the role of serum hepatitis B virus RNA (HBV RNA) in predicting HBeAg serological conversion in children with chronic hepatitis B.Methods:175 children aged 1~17 years with chronic hepatitis B who received interferon α (IFNα) for 48 weeks were selected. Patients were divided into HBeAg seroconversion and non-conversion based on whether HBeAg seroconversion occurred at 48 weeks of treatment.T-test and Mann-Whitney U test were used to compare between groups; chisquare test or Fisher exact probability method was used to compare the frequency between groups of classified variables; and Pearson correlation was used to analyze the correlation between indicators. Univariate and multivariate logistic regression analyses were used to identify influencing factors associated with HBeAg serological conversion. The predictive effect of HBV RNA, HBV DNA, and HBsAg on HBeAg serological conversion was compared and analyzed by the receiver operating characteristic curve (ROC).Results:The seroconversion rate of HBeAg at 48 weeks was 36.0% (63/175). The reduction in HBVRNA levels from baseline to the 12th, 24th, 36th, and 48th weeks of antiviral therapy was significantly greater in the HBeAg serological conversion group than that in the non-conversion group, and the difference was statistically significant between the two groups (P < 0.05). Univariate and multivariate regression analyses showed that age and a decline in HBV RNA levels at week 12 were independent predictors of HBeAg serological conversion. The area under the ROC curve (AUROC) of HBV RNA decline at week 12 was 0.677(95% CI∶0.549-0.806, P = 0.012), which was significantly better than the same period of AUROC of HBV DNA (0.657, 95% CI∶0.527-0.788, P = 0.025) and HBsAg (0.660, 95% CI∶0.526-0.795, P = 0.023) decline. HBV RNA levels decreased (>1.385 log10 copies/ml) at week 12, with a positive predictive value of 53.2%, a negative predictive value of 72.2%, a sensitivity of 77.4%, and a specificity of 57.9% for HBeAg seroconversion. Conclusion:HBV RNA level lowering during the 12th week of antiviral therapy can serve as an early predictor marker for HBeAg serological conversion in children with chronic hepatitis B.

OBJECTIVE：To provide reference for clinical decision-making related to chemotherapy-induced nausea and vomiting（CINV）. METHODS ：The medical records of patients diagnosed as malignant tumor receiving multi-day cisplatin-containing chemotherapy in our hospital were collected by hospital information system from Jan.-Dec. 2012. The medical records were divided into tropisetron group ，ramosetron group and palonosetron group according to different schemes of 5-hydroxytryptamine-3 receptor antagonist. The covariates of 3 groups were balanced by propensity score matching method ；cost-utility analysis was conducted for the 3 matched antiemetic schemes ；one-way sensitivity analysis and sampling uncertainty analysis were also conducted. RESULTS ： The results of cost-utility analysis showed that treatment cost of one observation period of tropisetron group was 237.71 yuan and utility were 0.054 68 QALYs；that of ramosetron group was 242.37 yuan and utility were 0.055 26 QALYs，and that of palonosetron group was 319.24 yuan and utility were 0.055 76 QALYs. Compared with tropisetron group ，the ICER of palonosetron group was 75 155.69 yuan/QALY；Compared with ramosetron group ，the ICER of palonosetron group was 152 062.07 yuan/QALY. Both of them were lower than 3 times of China ’s 2020 per capita GDP （217 341 yuan/QALY）. The results of sensitivity analysis and sampling uncertainty analysis demonstrated that the results of basic analysis were robust. CONCLUSIONS ：Under the current drug price，the antiemetic regimen based on palonosetron is more economical for the prevention of CINV caused by multi-day chemotherapy containing cisplatin.

This study was aimed to discuss and analyze the medication rules for prescriptions containing Pterocephali Herba in Chinese Medical Encyclopedia - Tibetan Medicine, Tibetan Medicine Prescription Modern Research and Clinical Application, and Interpretation of Common Tibetan Medicines based on the collection of Pterocephali Herba and by using the "Traditional Chinese Medicine Inheritance Support system(V2.0.1)",with the use of association rules, apriori algorithm and other data mining methods. The frequency of single drug, the frequency of drug combination, the association rule and the combination of core drugs were analyzed. Through collection of the prescriptions, a total of 215 prescriptions were included, involving a total of 376 herbs. Through the "frequency statistics", the prescriptions containing Pterocephali Herba were commonly used to treat cold fever, distemper virus and arthritis. The highest frequently (frequency≥15) used drugs were Corydalis Herba, Lagotidis Herba, and Gentianae Macrophyllae Radix, et al. The most frequently used drug combinations were "Pterocephali Herba, Corydalis Herba","Pterocephali Herba, Lagotidis Herba", and "Pterocephali Herba, Gentianae Macrophyllae Radix" et al. The prescriptions containing Pterocephali Herba were used to primarily treat disease for Tourette syndrome caused by the dampness heat toxin, fever, arthritis etc, such as pestilent toxicity, pneumonia and influenza, rheumatoid arthritis etc. The drugs in the prescriptions mostly had the effects of heat-clearing and detoxifying, anti-inflammatory, dispelling wind and dampness, often in compatible use with heat-clearing drugs. The drug use was concentrated and reflected the clear thought of prescription statutes.

OBJECTIVETo investigate the effects of low molecular peptide of Mycobacterium tuberculosis heat-resistant antigen (Mtb-HAg-10k) on the production of tumor necrosis factor-α (TNF-α) and interferon-γ (IFN-γ) in peripheral blood T cells and test the feasibility of differential diagnosis between pulmonary tuberculosis (PTB) and latent tuberculosis infection (LTBI) by assessing the number of Mtb-HAg-10k-stimulated IFN-γ-producing T cells.

METHODSPeripheral blood mononuclear cells (PBMCs) were separated from the peripheral blood of 10 healthy adults, 6 individuals with LTBI and 13 patients with PTB. The PBMCs were cultured in the presence of Mtb-HAg-10k obtained by ultrafiltration centrifugation, with Mtb-HAg and phytohaemagglutinin (PHA) as the controls. The proportions of TNF-α- and IFN-γ-producing cells in the T cell subsets were detected by flow cytometry (FCM), and the number of IFN-γ-producing cells from patients with PTB and LTBI was detected with ELISPOT.

RESULTSFlow cytometry showed that Mtb-HAg-10k exposure resulted in a significantly higher proportion of TNF-α-producing γδT cells than that of IFN-γ-producing γδT cells in the PBMCs (P<0.01). Compared with the PBMCs exposed to PHA, the PBMCs exposed to Mtb-HAg-10k exhibited a significantly greater proportion of γδT cells that produced both TNF-α and IFN-γ (P<0.01) but a significantly lower proportion of αβT cells producing both TNF-α and IFN-γ (P<0.01). Mtb-HAg-10k exposure of the PBMCs caused a significant reduction in the number of IFN-γ-producing cells as compared with Mtb-HAg and PHA treatments (P<0.01), and this reduction was more obvious in PBMCs from patients with PTB than in those from individuals with LTBI (P<0.01).

CONCLUSIONMtb-HAg-10k can markedly induce γδT cells in the PBMCs to produce TNF-α and IFN-γ, and detection of the number of IFN-γ-producing cells in the PBMCs following Mtb-HAg-10k stimulation helps in the differential diagnosis between pulmonary tuberculosis and latent tuberculosis infection.