Based on the strategy of metabolomics combined with bioinformatics, this study analyzed the potential allergens and mechanism of pseudo-allergic reactions (PARs) induced by the combined use of Reduning injection and penicillin G injection. All animal experiments and welfare are in accordance with the requirements of the First Affiliated Experimental Animal Ethics and Animal Welfare Committee of Henan University of Chinese Medicine (approval number: YFYDW2020002). Based on UPLC-Q-TOF/MS technology combined with UNIFI software, a total of 21 compounds were identified in Reduning and penicillin G mixed injection. Based on molecular docking technology, 10 potential allergens with strong binding activity to MrgprX2 agonist sites were further screened. Metabolomics analysis using UPLC-Q-TOF/MS technology revealed that 34 differential metabolites such as arachidonic acid, phosphatidylcholine, phosphatidylserine, prostaglandins, and leukotrienes were endogenous differential metabolites of PARs caused by combined use of Reduning injection and penicillin G injection. Through the analysis of the "potential allergen-target-endogenous differential metabolite" interaction network, the chlorogenic acids (such as chlorogenic acid, neochlorogenic acid, cryptochlorogenic acid, and isochlorogenic acid A) and β-lactam allergens in the combination of the two may be mainly regulated by PLD1, PLA2G12A and CYP1A1. The three upstream signal target proteins mainly activate the arachidonic acid metabolic pathway, promote the degranulation of mast cells, release downstream endogenous inflammatory mediators, and induce PARs.

Humans ; Obesity/prevention & control* ; Healthy Lifestyle

Chinese medicine (CM) diagnosis intellectualization is one of the hotspots in the research of CM modernization. The traditional CM intelligent diagnosis models transform the CM diagnosis issues into classification issues, however, it is difficult to solve the problems such as excessive or similar categories. With the development of natural language processing techniques, text generation technique has become increasingly mature. In this study, we aimed to establish the CM diagnosis generation model by transforming the CM diagnosis issues into text generation issues. The semantic context characteristic learning capacity was enhanced referring to Bidirectional Long Short-Term Memory (BILSTM) with Transformer as the backbone network. Meanwhile, the CM diagnosis generation model Knowledge Graph Enhanced Transformer (KGET) was established by introducing the knowledge in medical field to enhance the inferential capability. The KGET model was established based on 566 CM case texts, and was compared with the classic text generation models including Long Short-Term Memory sequence-to-sequence (LSTM-seq2seq), Bidirectional and Auto-Regression Transformer (BART), and Chinese Pre-trained Unbalanced Transformer (CPT), so as to analyze the model manifestations. Finally, the ablation experiments were performed to explore the influence of the optimized part on the KGET model. The results of Bilingual Evaluation Understudy (BLEU), Recall-Oriented Understudy for Gisting Evaluation 1 (ROUGE1), ROUGE2 and Edit distance of KGET model were 45.85, 73.93, 54.59 and 7.12, respectively in this study. Compared with LSTM-seq2seq, BART and CPT models, the KGET model was higher in BLEU, ROUGE1 and ROUGE2 by 6.00-17.09, 1.65-9.39 and 0.51-17.62, respectively, and lower in Edit distance by 0.47-3.21. The ablation experiment results revealed that introduction of BILSTM model and prior knowledge could significantly increase the model performance. Additionally, the manual assessment indicated that the CM diagnosis results of the KGET model used in this study were highly consistent with the practical diagnosis results. In conclusion, text generation technology can be effectively applied to CM diagnostic modeling. It can effectively avoid the problem of poor diagnostic performance caused by excessive and similar categories in traditional CM diagnostic classification models. CM diagnostic text generation technology has broad application prospects in the future.
Humans ; Medicine, Chinese Traditional ; Pattern Recognition, Automated ; Asian People ; Language ; Learning

Exploring the risk "time interval window" of sequential medication of Reduning injection (RDN) and penicillin G injection (PG) by detecting the correlation between serum biochemical indexes and plasma metabonomic characteristics, in order to reduce the risk of adverse reactions caused by the combination of RDN and PG. All animal experiments and welfare are in accordance with the requirements of the First Affiliated Experimental Animal Ethics and Animal Welfare Committee of Henan University of Chinese Medicine (approval number: YFYDW2020002). The changes of biochemical indexes in serum of rats were detected by enzyme-linked immunosorbent assay. It was determined that RDN combined with PG could cause pseudo-allergic reactions (PARs) activated by complement pathway. Further investigation was carried out at different time intervals (1.5, 2, 3.5, 4, 6, and 8 h PG+RDN). It was found that sequential administration within 3.5 h could cause significant PARs. However, PARs were significantly reduced after administration interval of more than 4 h. LC-MS was used for plasma metabolomics analysis, and the levels of serum biochemical indicators and plasma metabolic profile characteristics were compared in parallel. 22 differential metabolites showed similar or opposite trends to biochemical indicators before and after 3.5 h. And enriched to 10 PARs-related pathways such as arachidonic acid metabolism, steroid hormone biosynthesis, linoleic acid metabolism, glycerophospholipid metabolism, and tryptophan metabolism. In conclusion, there is a risk "time interval window" phenomenon in the adverse drug reactions caused by the sequential use of RDN and PG, and the interval medication after the "time interval window" can significantly reduce the risk of adverse reactions.

Humans ; Obesity/prevention & control* ; Healthy Lifestyle

Objective Aberrant expression of ATP binding cassette subfamily B member 1(ABCB1)plays a key role in several cancers.However,influence of G protein coupled receptor family C group 5 type A(GPRC5A)-regulated ABCB1 expression on lung adenocarcinoma proliferation remains unclear.Therefore,this study investigated the effect of GPRC5A regulated ABCB1 expression on the proliferation of lung adenocarcinoma. Methods ABCB1 expressions in lung adenocarcinoma cell lines,human lung adenocarcinoma tissues,and tracheal epithelial cells and lung tissues of GPRC5A knockout mice and wild-type mice were analyzed with RT-PCR,Western blot,or immunohistochemical analysis.Cell counting kit-8 assay was performed to analyze the sensitivity of tracheal epithelial cells from GPRC5A knockout mice to chemotherapeutic agents.Subcutaneous tumor formation assay was performed to confirm whether down-regulation of ABCB 1 could inhibit the proliferation of lung adenocarcinoma in vivo.To verify the potential regulatory relationship between GPRC5A and ABCB1,immunofluorescence and immunoprecipitation assays were performed. Results ABCB1 expression was up-regulated in lung adenocarcinoma cell lines and human lung adenocarcinoma tissues.ABCB1 expression in the tracheal epithelial cells and lung tissues of GPRC5A deficient mice was higher than that in the wild type mice.Tracheal epithelial cells of GPRC5A knockout mice were much more sensitive to tariquidar and doxorubicin than those of GPRC5A wild type mice.Accordingly,28 days after injection of the transplanted cells,the volume and weight of lung tumor in ABCB1 knockout cell-transplanted GPRC5A-/-C57BL/6 mice were significantly smaller than those in wild type cell-transplanted mice(P=0.0043,P=0.0060).Furthermore,immunofluorescence and immunoprecipitation assays showed that GPRC5A regulated ABCB1 expression by direct binding. Conclusion GPRC5A reduces lung adenocarcinoma proliferation via inhibiting ABCB1 expression.The pathway by which GPRC5A regulates ABCB1 expression needs to be investigated.

Objective To investigate factors influencing the occurrence of early haematoma expansion(HE)in patients with spontaneous intracerebral hemorrhage(sICH),to develop a predictive model and evaluate its predictive efficacy.Methods A retrospective cohort of 238 patients with sICH,admitted to General Hospital of Western Theater Command between January 2017 and December 2022,was analyzed.Patients were categorized into two groups based on the criteria of HE exceeding 33%in relative volume or 6 ml in absolute volume:HE group(n=62)and non-haematoma expansion(NHE)group(n=176).Clinical characteristics,laboratory findings,Non-contrast Computed Tomography(NCCT)imaging,and Glasgow Coma Scale(GCS)scores were compared between the two groups.Multifactorial logistic regression analysis was employed to identify risk factors for HE and to model the probability of its occurrence.The R language rms package was utilized to construct a nomogram model for predicting HE in sICH patients,Additionally,the related clinical,NCCT,and GCS models were constructed.The predictive efficacy of each model for HE in sICH patients was evaluated using area under Receive Operative Characteristic(ROC)curve(AUC),and the clinical application value of each model was assessed using accuracy,sensitivity,specificity,and Jordon's index.The Delong test was applied to analyze differences in the predictive values of the models.Results Significant differences in satellite sign,vortex sign,and history of anticoagulant treatment were observed between two groups(P<0.05).Multifactorial logistic regression analysis revealed independent risk factors for HE in sICH patients,including the first CT examination time,homogeneity,history of anticoagulant medication,volume,maximal diameter,hypodensity sign,island sign,satellite sign,and vortex sign(P<0.05).The AUCs for the constructed clinical model,NCCT model,GCS model and nomogram model in predicting the occurrence of HE in sICH patients were 0.672,0.706,0.518 and 0.754,respectively.The nomogram model demonstrated higher accuracy,sensitivity,Jordon's index and AUC compared with those in the clinical and NCTT models.Conclusions The first CT examination time,homogeneity,history of anticoagulant treatment,volume,maximum diameter,hypodensity sign,island sign,satellite sign,and vortex sign are independent predictors of early HE in sICH patients.The nomogram model,constructed with the above parameters,demonstrated high predictive efficacy for HE and holds potential for clinical application.

Objective To investigate the differentiation of oligodendrocyte precursor cells after neural injury utilizing Sox10 cell lineage tracing in the cortical tissue.Methods C57BL/6 mice and Sox10-CreERT2/red fluorescent protein(RFP)model mice were used in the current study.The Sox10-CreERT2/RFP model mice generated by crossing Sox10-CreERT2 and Ai9 were 8-week-old F1 mice(n=16),which were randomly divided into control group(n=4)and 7 days(n=4),14 days(n=4),and 30 days feed groups(n=4).Tamoxifen(TAM)was used to induce the expression of RFP.The control group received tamoxifen dissolved in sunflower seed oil by gavage(40 mg/kg once daily for three consecutive days)and the brain tissues were obtained after 4 days.The feed group mice were fed with tamoxifen-containing feed to induce RFP expression,and the brain tissues were obtained after 7,14,and 30 days,respectively.Immunofluorescent staining was performed to detect the expressions of neuronal nuclei(NeuN),microtubule-associated protein 2(MAP2),phosphorylated histone 2AX(γ-H2AX),cluster of differentiation 13(CD 13),γ-aminobutyric acid(GABA),glial fibrillary acidic protein(GFAP),cluster of differentiation 11b(CD11b),vesicular glutamate transporter 2(VGLUT2),and adenomatous polyposis coli(APC,CC-1)in the brains of each group mice.The number of positive cells was counted,and the proportion was calculated.Eight-week-old male C57BL/6 mice were randomly divided into wild type(WT)group(n=4)and WT+TAM group(n=4).They were fed with regular feed and tamoxifen-containing feed for 30 days,respectively,and then brain tissues were obtained.Immunofluorescent double-labeling was used to detect the expressions of γ-H2AX positive neurons in the cortex of mice in both groups.Results In the control group,feed 7 days,14 days,and 30 days groups,the proportions of RFP+pericytes among all RFP+cells in the cortical tissue were(0.8±0.1)％,(2.7±0.1)％,(3.2±0.1)％,(4.0±0.1)％,respectively,and the proportion of mature oligodendrocytes(CC-1+RFP+)in the feed 7 days group was(51.2±0.7)％.The proportions of RFP-positive neurons in the cortex after 14 and 30 days of tamoxifen feed were(0.7±0.1)％and(1.5±0.1)％,respectively,while no conversion to RFP-positive neurons was observed in the gavage group and 7 days feed group.RFP cells in the cortex of the 7 days or 30 days feed group did not express GFAP or CD11b.Extensive γ-H2AX+NeuN+staining was observed in the WT group and WT+TAM group.Conclusion Long-term administration of tamoxifen can promote the differentiation of Sox10 cells into pericytes and neurons.Further investigation into the role of OPC in the neurovascular unit repair mechanism may contribute to a better understanding of the pathogenesis underlying AD.

Objective:To systematically integrate qualitative studies on psychological experience of breast cancer patients in rehabilitation period, so as to provide basis for improving psychological care and rehabilitation efficacy.Methods:Qualitative research on psychological experience of breast cancer patients during rehabilitation was electronically retrieved in databases, including PubMed, Embase, Web of Science, Cochrane Library, China National Knowledge Infrastructure, Wanfang data, and China Biology Medical disc. The search period was from database establishment to September 2023. The quality evaluation of the literature was conducted using the 2020 version of the quality evaluation criteria for qualitative research of the Joanna Briggs Institute Evidence-Based Health Care Center. The results were integrated using the aggregative Meta integration method.Results:A total of 18 articles were included. Sixty-six research topics were extracted and categorized into 10 new categories, forming three integrated results, namely, psychological adjustment of patients with negative emotions and rehabilitation needs in the process of coping, family and social factors affecting patient rehabilitation experience, and patients perceiving that the healthcare system was not yet perfect.Conclusions:Medical and nursing staff should pay attention to the psychological problems of breast cancer patients in the rehabilitation period, understand their rehabilitation needs, provide targeted counseling and services, pay attention to the family and social support factors of breast cancer patients, help them improve their quality of life, and actively promote rehabilitation.

Objective:To analyze the efficiency of human resource allocation and its spatial distribution characteristics of district-level Center for Disease Control and Prevention(CDC)in city N of Jiangsu Province in 2020,in order to provide a strong decision-making reference for optimizing and strengthening the CDC talent team.Methods:The efficiency of human resources of district-level CDC of City N in2020 was measured using the Super-Efficiency SBM model,and the spatial association pattern was analyzed using the natural break point classification method and Moran's index,with the visualization presented through LISA maps.Results:The overall level of human resource efficiency in district-level CDC of City N is relatively high.However,spatially,there are significant differences among the regions,showing a trend of high efficiency in the central areas and low efficiency at the ends.Moran's index and LISA maps indicate a negative spatial correlation in efficiency,with a low-high(L-H)cluster centered on Area L and a high-low(H-L)cluster centered on Area J.The high-high(H-H)cluster pattern has not yet formed,exhibiting a characteristic of interspersed high and low efficiency.Conclusions:There are regional differences in the human resource efficiency of the Disease Control Center in City N,and the spatial cluster pattern needs to be optimized.It is recommended to focus on efficiency improvement in Areas P and L,formulate appropriate policies,and promote coordinated regional development.