By consulting herbal texts， medical records， formula collections， and other relevant literature from various historical periods， as well as modern and contemporary research materials， different aspects of the historical evolution of Zijingpi， including its name， origin， scientific name verification， medicinal part， genuine producing areas， harvesting， processing， and preparation， properties and flavors， and primary indications， were systematically reviewed and verified， providing a basis for the development of famous classical formula preparations containing this medicinal material. According to the textual research， Cercis chinensis was first recorded under the name "Zijingmu" in the Rihuazi Bencao from the Five Dynasties period. From the Song Dynasty to the Qing Dynasty， it was known by various names such as "Zijing"， "Zijingpi"， and "Zijingmupi". In modern and contemporary times， it has been officially named "Zijingpi"， with aliases such as "Mantiaohong"， "Zihuashu"， and "Qingminghua". Historically， the mainstream source of Zijingpi was the dried bark of Cercis chinensis Bunge， a species of the legume family. However， there were also instances of confusion with the Lythraceae plant Lagerstroemia indica L. The producing areas of Zijingpi have no special geographical limitation， and the plant is currently distributed throughout most parts of China. There were no special requirements for harvesting time in ancient times， while modern records indicate harvesting time in spring， summer， and autumn. Ancient processing methods were rarely recorded， with only mentions of stir-frying Zijingpi. Modern practice mostly uses the raw material medicinally. Modern standards prefer it to be "dry， long strips， and thick". The functions of Zijingpi， mainly to promote blood circulation， relieve strangury， and detoxify， have remained consistent from ancient to modern times. Based on the textual research findings， it is recommended that when developing and exploiting the famous classical formulas containing Zijingpi， the bark of C. chinensis should be selected as the source. The processing method should be chosen according to the formula requirements， and if no specific requirements are indicated， it is suggested to use the raw material medicinally.

Objective:To explore the clinical features, histopathological morphology, and differential diagnosis of lymphoepithelioma-like carcinoma with abnormal expression of follicular dendritic cell markers.Methods:From 2020 to 2021, 4 cases of lymphoepithelioma-like carcinoma with abnormal expression of follicular dendritic cell markers diagnosed in Fujian Cancer Hospital (2 cases) and the Second Affiliated Hospital of Fujian Medical University (2 cases) were collected. Different ancillary procedures such as HE, special stains, immunohistochemistry, and in situ hybridization techniques were used to assess the histopathological features and immunophenotypes. The clinical data were collected and literature was reviewed.Results:All 4 cases of lymphoepithelioma-like carcinoma with abnormal expression of follicular dendritic cell markers were male. They were 32, 45, 67 and 39 years old, respectively. The main clinical manifestations were bloody phlegm, abdominal pain, fatigue and anorexia. The clinical stages at diagnosis were stage Ⅳ (3 cases) and stage Ⅱ (1 case). Cases 2 and 3 had two pathological examinations at different sites, with a total of six pathological examinations. The histomorphology showed singly scattered or nests of tumor cells in a background of abundant small lymphocytes. The tumor cells were enlarged and pleomorphic, some appeared polygonal with inconspicuous cell borders, and they were arranged in a syncytial pattern. There were megakaryocytes, multinucleated tumor cells, and a few spindle-shaped cells seen. Atypical mitosis was commonly noted. By immunohistochemistry, the tumor cells were positive for CKpan(5/6), CK8/18(4/4), CAM5.2(2/5), CK-H(0/4), CK-L(3/4), EMA(4/5), CK5/6(3/6), p63(1/6), p40(1/6), E-cadherin (4/6), SSTR2(6/6), PD-L1(5/5), LCA(0/6), vimentin(5/6), CD2 (6/6), CD23(6/6), CD35(5/6), CXCL-13(4/5) and D2-40(1/5). The Ki-67 proliferative index was 60%-95%. In situ hybridization for EBER were all positive (6/6). Special stain for reticulin showed positive staining surrounding nests of tumor cells.Conclusions:The expression of follicular dendritic cell markers in lymphoepithelioma-like carcinoma is very rare, which may be related to EBV infection. Occasionally, it can overlap with follicular dendritic cell sarcoma by morphology and immunophenotype, which can lead to misdiagnosis. Only by combining clinical information, morphological characteristics and immunophenotype can an appropriate diagnosis be made.

Objective: To explore the feasibility of constructing a lung cancer early-warning risk model based on facial image features, providing novel insights into the early screening of lung cancer. Methods: This study included patients with pulmonary nodules diagnosed at the Physical Examination Center of Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine from November 1, 2019 to December 31, 2024, as well as patients with lung cancer diagnosed in the Oncology Departments of Yueyang Hospital of Integrated Traditional Chinese and Western Medicine and Longhua Hospital during the same period. The facial image information of patients with pulmonary nodules and lung cancer was collected using the TFDA-1 tongue and facial diagnosis instrument, and the facial diagnosis features were extracted from it by deep learning technology. Statistical analysis was conducted on the objective facial diagnosis characteristics of the two groups of participants to explore the differences in their facial image characteristics, and the least absolute shrinkage and selection operator (LASSO) regression was used to screen the characteristic variables. Based on the screened feature variables, four machine learning methods: random forest, logistic regression, support vector machine (SVM), and gradient boosting decision tree (GBDT) were used to establish lung cancer classification models independently. Meanwhile, the model performance was evaluated by indicators such as sensitivity, specificity, F1 score, precision, accuracy, the area under the receiver operating characteristic (ROC) curve (AUC), and the area under the precision-recall curve (AP). Results: A total of 1 275 patients with pulmonary nodules and 1 623 patients with lung cancer were included in this study. After propensity score matching (PSM) to adjust for gender and age, 535 patients were finally included in the pulmonary nodule group and the lung cancer group, respectively. There were significant differences in multiple color space metrics (such as R, G, B, V, L, a, b, Cr, H, Y, and Cb) and texture metrics [such as gray-levcl co-occurrence matrix (GLCM)-contrast (CON) and GLCM-inverse different moment (IDM)] between the two groups of individuals with pulmonary nodules and lung cancer (P < 0.05). To construct a classification model, LASSO regression was used to select 63 key features from the initial 136 facial features. Based on this feature set, the SVM model demonstrated the best performance after 10-fold stratified cross-validation. The model achieved an average AUC of 0.8729 and average accuracy of 0.799 0 on the internal test set. Further validation on an independent test set confirmed the model’s robust performance (AUC = 0.823 3, accuracy = 0.729 0), indicating its good generalization ability. Feature importance analysis demonstrated that color space indicators and the whole/lip Cr components (including color-B-0, wholecolor-Cr, and lipcolor-Cr) were the core factors in the model’s classification decisions, while texture indicators [GLCM-angular second moment (ASM)_2, GLCM-IDM_1, GLCM-CON_1, GLCM-entropy (ENT)_2] played an important auxiliary role. Conclusion The facial image features of patients with lung cancer and pulmonary nodules show significant differences in color and texture characteristics in multiple areas. The various models constructed based on facial image features all demonstrate good performance, indicating that facial image features can serve as potential biomarkers for lung cancer risk prediction, providing a non-invasive and feasible new approach for early lung cancer screening.

AIM:This study aims to investigate the regulatory effects of caffeic acid phenethyl ester(CAPE)on metabotropic glutamate receptor 5(mGluR5)and tyrosine kinase Fyn,and to explore its role in alleviating neuroinflam-mation and pathological features of Alzheimer disease(AD).METHODS:In vitro,the murine neuroblastoma N2a cell line was treated with amyloid β-protein 42 oligomers(Aβ42Os;10 nmol/L to 10 μmol/L)for 24 h.Cell viability was as-sessed by MTT assay.Western blot analyzed mGluR5 expression and Fyn phosphorylation(Tyr416).Pharmacological modulators(CHPG/MPEP)were used to evaluate mGluR5-mediated inflammatory cytokine regulation(qPCR)and Fyn ac-tivation.In vivo,wild-type(WT)and 5×FAD mice(WT,WT+CAPE,5×FAD and 5×FAD+CAPE)were analyzed for AD-related proteins,neuroinflammation(ELISA),glial activation(GFAP/Iba-1 immunofluorescence),and β-amyloid deposi-tion(thioflavin S).RESULTS:(1)Treatment with 1 μmol/L Aβ42Os increased mGluR5 expression(P<0.01)and Fyn phosphorylation(P<0.01)without affecting N2a cell viability.Intracerebral Aβ42Os injection similarly up-regulated hip-pocampal mGluR5 and Fyn(P<0.01).(2)MPEP reduced mGluR5 expression(P<0.01)and Fyn phosphorylation(P<0.01),while suppressing tumor necrosis factor-α(TNF-α)and interleukin-6(IL-6)mRNA levels(P<0.01).(3)CAPE decreased mGluR5-Fyn activation in N2a cells,neurons,and 5×FAD mice(P<0.01).(4)CAPE-treated 5×FAD mice exhibited reduced neuroinflammation markers(GFAP,Iba-1,TNF-α,IL-1β,and IL-6),Aβ plaques,and p-APP levels(P<0.01).CONCLUSION:Treatment with CAPE inhibits Aβ42Os-induced mGluR5-Fyn signaling activation,thereby attenuating neuroinflammation and the pathology associated with AD.

[This corrects the article DOI: 10.1016/j.apsb.2021.07.004.].

The continuous emergence of SARS-CoV-2 variants as well as other potential future coronavirus has challenged the effectiveness of current COVID-19 vaccines. Therefore, there remains a need for alternative antivirals that target processes less susceptible to mutations, such as the formation of six-helix bundle (6-HB) during the viral fusion step of host cell entry. In this study, a novel high-throughput screening (HTS) assay employing a yeast-two-hybrid (Y2H) system was established to identify inhibitors of HR1/HR2 interaction. The compound IMB-9C, which achieved single-digit micromolar inhibition of SARS-CoV-2 and its Omicron variants with low cytotoxicity, was selected. IMB-9C effectively blocks the HR1/HR2 interaction in vitro and inhibits SARS-CoV-2-S-mediated cell-cell fusion. It binds to both HR1 and HR2 through non-covalent interaction and influences the secondary structure of HR1/HR2 complex. In addition, virtual docking and site-mutagenesis results suggest that amino acid residues A930, I931, K933, T941, and L945 are critical for IMB-9C binding to HR1. Collectively, in this study, we have developed a novel screening method for HR1/HR2 interaction inhibitors and identified IMB-9C as a potential antiviral small molecule against COVID-19 and its variants.

BACKGROUND: Neuroticism has been associated with numerous health outcomes. However, most research has focused on a single specific disorder and has produced controversial results, particularly regarding mortality risk. Here, we aimed to examine the association of neuroticism with morbidity and mortality and to elucidate how neuroticism affects trajectories from a healthy state, to one or more neuroticism-related disorders, and subsequent mortality risk. METHODS: We included 483,916 participants from the UK Biobank at baseline (2006-2010). Neuroticism was measured using the Eysenck Personality Questionnaire. Three clusters were constructed, including worry, depressed affect, and sensitivity to environmental stress and adversity (SESA). Cox proportional hazards regression and multistate models were used. Linear regression was used to examine the association between neuroticism and immune parameters and neuroimaging measures. RESULTS: High neuroticism was associated with 37 non-overlapping diseases, including increased risk of infectious, cardiometabolic, neuropsychiatric, digestive, and respiratory diseases, and decreased risk of cancer. After adjustment for sociodemographic variables, physical measures, healthy behaviors, and baseline diagnoses, moderate-to-high neuroticism was associated with a decreased risk of all-cause mortality. In multistate models, high neuroticism was associated with an increased risk of transitions from a healthy state to a first neuroticism-related disease (hazard ratio [HR] [95% confidence interval (CI)] = 1.09 [1.05-1.13], P  <0.001) and subsequent transitions to multimorbidity (1.08 [1.02-1.14], P  = 0.005), but was associated with a decreased risk of transitions from multimorbidity to death (0.90 [0.84-0.97], P for trend = 0.006). The leading neuroticism cluster showing a detrimental role in the health-illness transition was depressed affect, which correlated with higher amygdala volume and lower insula volume. The protective effect of neuroticism against mortality was mainly contributed by the SESA cluster, which, unlike the other two clusters, did not affect the balance between innate and adaptive immunity. CONCLUSION This study provides new insights into the differential role of neuroticism in health outcomes and into new perspectives for establishing mortality prevention programs for patients with multimorbidity.
Humans ; Neuroticism/physiology* ; Male ; Female ; Middle Aged ; Aged ; Proportional Hazards Models ; Surveys and Questionnaires ; Adult ; Risk Factors

Objective To analyze the distribution characteristics of infectious respiratory particles(IRPs)in hospi-tal waiting rooms,and explore the impact of indoor air environmental on the distribution characteristics of bacterial IRPs.Methods In the summer and winter of 2024,nine waiting rooms in non-infectious departments of three ter-tiary hospitals in a district of Beijing were selected for on-site investigation on basic conditions.Concentration and distribution of particle diameter of cultivable bacteria from 36 air specimens collected by the impacting method were analyzed.Cyclone method was employed to collect 36 IRPs specimens.Major respiratory pathogens were analyzed by fluorescence polymerase chain reaction(PCR).Results The median of the total bacterial count in IRPs in the waiting rooms in summer was 1 035 CFU/m3,which was higher than that in winter(295 CFU/m3),with statisti-cally significant difference(P＜0.05).The orders of medians of the total bacterial count from IRPs of different types in the waiting rooms in both summer and winter were as follows:emergency department waiting room＜re-spiratory department waiting room＜pediatric waiting room＜general outpatient waiting room.There was no sta-tistically significant difference in the total bacterial count among different waiting rooms(P＞0.05).Particle diame-ter of bacterial IRPs in the waiting rooms in summer and winter mainly distributed in the range of＜4.7 μm,ac-counting for 73.77％and 69.44％,respectively.The total number of bacteria in IRPs in the waiting rooms was positively correlated with indoor air temperature,relative humidity,PM10,and PM2.5(all P＜0.01),while nega-tively correlated with indoor wind speed(all P＜0.01).The types of respiratory infectious and non-infectious pathogens detected from IRPs in different types of waiting rooms were different between summer and winter.The pathogens detected in summer were mainly concentrated in respiratory non-infectious pathogens(Escherichia coli,Klebsiella pneumoniae,Staphylococcus aureus).In winter,respiratory infectious pathogens(virus and Mycoplas-ma pneumoniae)were detected.The types of detected pathogens in different types of waiting rooms were different.Non-infectious respiratory pathogens detected from IRPs in winter were mainly Escherichia coli,Klebsiella pneumoniae,and Staphylococcus aureus.Conclusion Particle diameter of bacterial IRPs in the waiting room is mainly＜4.7 μm.These particles can enter the lower respiratory tract of human body,and pose potential risk to health.The detection of main infectious and non-infectious respiratory pathogens from IRPs in waiting rooms suggests risk of exposure to infection for patients and healthcare workers.

This article summarizes current research and real-world evidence on the combined use of 5-aminosalicylates acid (5-ASA) with biologic agents in ulcerative colitis (UC) patients undergoing step-up therapy. Furthermore, it explores the potential value of whether combination therapy or not in different clinical scenarios. The findings provide insights for personalized UC treatment strategies and suggest directions for future research.

Objective:To investigate the impact of olanzapine and risperidone on the cognitive function, sensory gating function and clinical symptoms of patients with first-episode schizophrenia(FES).Additionally, to analyze the correlation between sensory gating inhibitory deficits and cognitive impairment in FES patients.Methods:A total of 71 FES patients were selected in the Third People's Hospital of Zhongshan City from March 2023 to March 2024, and 60 healthy controls were recruited during the same period.The FES patients were divided into olanzapine group and risperidone group by random number table.Olanzapine group was treated with variable doses of olanzapine(10-20 mg/d), and risperidone group was treated with variable doses of risperidone(3-6 mg/d).The MATRICS consensus cognitive battery(MCCB) was used to evaluate the cognitive function of the patients, P50 index was measured by auditory paired condition-stimulus paradigm, and the efficacy was evaluated by positive and negative syndrome scale(PANSS) score reduction rate before and after 6 weeks of treatment.Healthy controls were assessed cognitive function only once with P50.SPSS 25.0 software was used for data processing. Perform statistical analysis using paired sample t-test, Wilcoxon signed rank test, independent sample t-test, Mann Whitney U test, χ2 test and generalized linear model. Results:Before treatment, the S2 amplitude of FES (1.74 (0.91, 2.79) μV) was higher than that of healthy controls (1.70 (1.04, 2.71) μV) (Wald χ2=4.483, P=0.034), the S2/S1 ratio of FES (0.58 (0.43, 0.78)) was higher than that of healthy controls (0.41 (0.31, 0.57)) (Wald χ2=10.909, P=0.001), and the difference of FES amplitude of S1-S2 was (1.22 (0.43, 1.92) μV) was lower than that of healthy controls (2.23 (1.54, 3.07) μV) (Wald χ2=17.679, P<0.001). There was no significant difference in PANSS, MCCB and P50 between olanzapine group and risperidone group before treatment (all P>0.05). After treatment, there was no significant difference in response rate between the two groups ( χ2=0.059, P=0.808), the PANSS scores were lower than those before treatment, the MCCB test results were higher than those before treatment (both P<0.05), and the P50 results were not statistically significant different compared with those before treatment (both P>0.05). The generalized linear model showed that the S1, S2 amplitude of the P50 had positive impact on the connection test score in the MCCB test ( β=0.466, P=0.020; β=0.879, P=0.009), other indicators were not found to have an impact on the test scores of the MCCB test (all P>0.05). Conclusion:Olanzapine and risperidone can significantly improve the cognitive function of FES, but the improvement of sensory gating deficits is limited. The pathogenic mechanism of sensory gating inhibitory deficits in FES may be different from that of cognitive dysfunction.