OBJECTIVE: To investigate the therapeutic potential of pseudolaric acid B (PAB) on non-alcoholic fatty liver disease (NAFLD) and its underlying molecular mechanism in vitro and in vivo. METHODS: Eight-week-old male C57BL/6J mice (n=32) were fed either a normal chow diet (NCD) or a high-fat diet (HFD) for 8 weeks. The HFD mice were divided into 3 groups according to a simple random method, including HFD, PAB low-dose [10 mg/(kg·d), PAB-L], and PAB high-dose [20 mg/(kg·d), PAB-H] groups. After 8 weeks of treatment, glucose metabolism and insulin resistance were assessed by oral glucose tolerance test (OGTT) and insulin tolerance test (ITT). Biochemical assays were used to measure the serum and cellular levels of total cholesterol (TC), triglycerides (TG), aspartate aminotransferase (AST), alanine aminotransferase (ALT), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C). White adipose tissue (WAT), brown adipose tissue (BAT) and liver tissue were subjected to hematoxylin and eosin (H&E) staining or Oil Red O staining to observe the alterations in adipose tissue and liver injury. PharmMapper and DisGeNet were used to predict the NAFLD-related PAB targets. Peroxisome proliferator-activated receptor alpha (PPARα) pathway involvement was suggested by Kyoto Encyclopedia of Genes and Genomes (KEGG) and search tool Retrieval of Interacting Genes (STRING) analyses. Luciferase reporter assay, cellular thermal shift assay (CETSA), and drug affinity responsive target stability assay (DARTS) were conducted to confirm direct binding of PAB with PPARα. Molecular dynamics simulations were applied to further validate target engagement. RT-qPCR and Western blot were performed to assess the downstream genes and proteins expression, and validated by PPARα inhibitor MK886. RESULTS: PAB significantly reduced serum TC, TG, LDL-C, AST, and ALT levels, and increased HDL-C level in HFD mice (P<0.01). Target prediction analysis indicated a significant correlation between PAB and PPARα pathway. PAB direct target binding with PPARα was confirmed through luciferase reporter assay, CETSA, and DARTS (P<0.05 or P<0.01). The target engagement between PAB and PPARα protein was further confirmed by molecular dynamics simulations and the top 3 amino acid residues, LEU321, MET355, and PHE273 showed the most significant changes in mutational energy. Subsequently, PAB upregulated the genes expressions involved in lipid metabolism and mitochondrial biogenesis downstream of PPARα (P<0.05 or P<0.01). Significantly, the PPARα inhibitor MK886 effectively reversed the lipid-lowering and PPARα activation properties of PAB (P<0.05 or P<0.01). CONCLUSION PAB mitigates lipid accumulation, ameliorates liver damage, and improves mitochondrial biogenesis by binding with PPARα, thus presenting a potential candidate for pharmaceutical development in the treatment of NAFLD.
Animals ; PPAR alpha/metabolism* ; Non-alcoholic Fatty Liver Disease/pathology* ; Male ; Mice, Inbred C57BL ; Lipid Metabolism/drug effects* ; Diterpenes/therapeutic use* ; Organelle Biogenesis ; Diet, High-Fat ; Humans ; Mice ; Liver/metabolism* ; Insulin Resistance ; Mitochondria/metabolism* ; Molecular Docking Simulation

Psoriasis is an incurable chronic inflammatory disease that requires new interventions. Here, we found that fibroblasts exacerbate psoriasis progression by promoting macrophage recruitment via CCL2 secretion by single-cell multi-omics analysis. The natural small molecule celastrol was screened to interfere with the secretion of CCL2 by fibroblasts and improve the psoriasis-like symptoms in both murine and cynomolgus monkey models. Mechanistically, celastrol directly bound to the low-density lipoprotein receptor-related protein 1 (LRP1) β-chain and abolished its binding to the transcription factor c-Jun in the nucleus, which in turn inhibited CCL2 production by skin fibroblasts, blocked fibroblast-macrophage crosstalk, and ameliorated psoriasis progression. Notably, fibroblast-specific LRP1 knockout mice exhibited a significant reduction in psoriasis like inflammation. Taken together, from clinical samples and combined with various mouse models, we revealed the pathogenesis of psoriasis from the perspective of fibroblast-macrophage crosstalk, and provided a foundation for LRP1 as a novel potential target for psoriasis treatment.

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

OBJECTIVES: To explore the lipidomic characteristics of children with bronchial asthma (hereafter referred to as asthma) and identify potential biomarkers for asthma. METHODS: A total of 26 asthmatic children were prospectively enrolled as the asthma group, and 20 healthy children served as the healthy control group. The asthma group was further divided into atopic (n=13) and non-atopic (n=13) subgroups based on IgE levels. Serum lipid metabolites were analyzed using liquid chromatography-mass spectrometry, followed by statistical analysis and data visualization. RESULTS: A total of 1 435 lipids were detected in the 46 children, primarily glycerophospholipids (625/1 435, 43.55%). Significant differences were observed in serum lipid profiles between the asthma and control groups. Twelve significantly differential lipids were identified, with receiver operating characteristic curve analysis showing that phosphatidylserine (PS)(18:0/20:4) and ceramide (Cer)(c16:0) exhibited the highest diagnostic value for asthma. The relative abundances of PS(18:0/20:4) and PS(18:0/22:6) were higher in the atopic subgroup than in the non-atopic subgroup (P<0.05) and positively correlated with total IgE levels in asthmatic children (r=0.675 and 0.740, respectively; P<0.05). CONCLUSIONS Asthmatic children exhibit significant lipid metabolic disturbances, primarily characterized by abnormal glycerophospholipid metabolism. Among these, PS(18:0/20:4) and Cer(c16:0) demonstrate specific alterations and may serve as potential diagnostic biomarkers for asthma. Furthermore, the positive correlation between PS(18:0/20:4) and PS(18:0/22:6) levels and serum total IgE suggests their possible involvement in immune regulation in asthma.
Humans ; Asthma/metabolism* ; Male ; Child ; Female ; Prospective Studies ; Mass Spectrometry/methods* ; Lipids/blood* ; Chromatography, Liquid/methods* ; Child, Preschool ; Immunoglobulin E/blood* ; Biomarkers/blood* ; Adolescent ; Liquid Chromatography-Mass Spectrometry

In this work,a rapid and label-free sensing platform was designed for visual detection of p53 gene.The rolling circle amplification(RCA)process of the assay platform was activated by p53 gene to produce long DNA-wires,which could bound with berberine hydrochloride(BBH)and further enhanced its fluorescence.This method showed high sensitivity with a low detection limit of 5.63 pmol/L,and high specificity toward p53 gene over other interference materials,even for single-base mutation gene.The method could realize the visual detection of targets under the illumination of a UV lamp.In addition,the designed fluorescence detection platform was successfully applied to p53 gene analysis in 10% fetal bovine serum samples,and the relative standard deviation and the recoveries were 0.1% -1.2% and 99.5% -104.7%,respectively.This approach had satisfactory characteristics,such as low cost,label-free,rapidity,high sensitivity,good selectivity and anti-interference ability,and reliable detection capability for complex practical samples,demonstrating a promising prospect in the diagnosis and treatment of diseases,especially for cancer.

This study aimed to characterize and identify the non-volatile components in aqueous and ethanolic extracts of the stems and leaves of Rhododendron tomentosum by using sensitive and efficient ultra-performance liquid chromatography-quadrupole-time of flight mass spectrometry(UHPLC-Q-TOF-MS) combined with a self-built information database. By comparing with reference compounds, analyzing fragment ion information, searching relevant literature, and using a self-built information database, 118 compounds were identified from the aqueous and ethanolic extracts of R. tomentosum, including 35 flavonoid glycosides, 15 phenolic glycosides, 12 flavonoids, 7 phenolic acids, 7 phenylethanol glycosides, 6 tannins, 6 phospholipids, 5 coumarins, 5 monoterpene glycosides, 6 triterpenes, 3 fatty acids, and 11 other types of compounds. Among them, 102 compounds were reported in R. tomentosum for the first time, and 36 compounds were identified by comparing them with reference compounds. The chemical components in the ethanolic and aqueous extracts of R. tomentosum leaves and stems showed slight differences, with 84 common chemical components accounting for 71.2% of the total 118 compounds. This study systematically characterized and identified the non-volatile chemical components in the ethanolic and aqueous extracts of R. tomentosum for the first time. The findings provide a reference for active ingredient research, quality control, and product development of R. tomentosum.
Rhododendron/chemistry* ; Chromatography, High Pressure Liquid/methods* ; Drugs, Chinese Herbal/chemistry* ; Mass Spectrometry/methods* ; Plant Leaves/chemistry*

Objective : To investigate the therapeutic effects and underlying mechanisms of cannabidiol(CBD) and its nano-formulations on depression-like behaviors in mice. Methods : A murine model of acute anxiety and depression was established by intraperitoneal administration of lipopolysaccharide(LPS). A total of 55 mice were randomly assigned into several groups: for the long-term study, a control group(Con), a model group(LPS), a cannabidiol group(CBD), a nano-cannabidiol group(NCBD), and a sertraline(SER) group, each consisting of 7 mice. In the short-term study, mice were divided into four groups: the Con group, LPS group, CBD group, and NCBD group, with 5 mice in each group. Except for the Con group and LPS group, which were given distilled water, the remaining groups were administered 25 and 50 mg/kg of cannabidiol and its nano-formulationviaoral gavage. The open field and forced swimming tests were employed to assess anxiety-and depression-like behaviors inmice. Luxol Fast Blue myelin staining was employed to evaluate myelin sheath morphology in the prefrontal cortex, and immunofluorescence staining was utilized to quantify the protein expression levels of silencing information regulator(SIRT2), ionized calcium binding adaptor molecule-1(Iba-1), and interleukin-1β(IL-1β) in the prefrontal cortex. Results : In the long-term experiment, the LPS group exhibited a significant reduction in shuttle times(P<0.05), an increase in immobility time(P<0.01), and a decrease in the number and length of myelin sheaths(P<0.05) compared to the Con group. Compared to the LPS group, the depressive behaviors in the CBD, NCBD, and SER groups were significantly alleviated(P<0.01), and the number and length of myelin sheaths increased(P<0.05). In the short-term experiment, compared to the Con group, the LPS group exhibited significantly increased anxiety-and depression-like behaviors(P<0.05), downregulated SIRT2 expression(P<0.01), and upregulated Iba-1 and IL-1β expression(P<0.01). The CBD and NCBD groups demonstrated a reduction in anxiety and depression-like behaviors(P<0.05), an increase in SIRT2 expression(P<0.01), and a decrease in Iba-1 and IL-1β expressions(P<0.05) compared to the LPS group. Conclusion CBD and its nano-formulations effectively mitigate anxiety and depression-like behaviors in mice. The underlying mechanisms may be associated with the reversal of SIRT2 protein expression, demyelination changes, microglial activation, and the levels of inflammatory factors in the prefrontal cortex.

Objective:To explore the prognostic value of serum free light chain in chronic lymphocytic leukemia patients.Methods:Retrospective cohort study was conducted. One hundred and fifty-six newly diagnosed chronic lymphocytic leukemia(CLL) patients in the first affiliated hospital of Nanjing Medical University from January 2016 to December 2020 were included in the retrospective analysis. Among them, there were 106 males and 50 females, with a median age of 60.7 (53.4, 66.0) years old.Serum sample was collected, serum free light chains were detected, and patients were divided into a treatment group (106 cases) and a follow-up group (50 cases) based on the presence of treatment indications.The threshold of serum free light chain(sFLC) was defined by the reference range of the instruction manual and ROC curve. Three indicators were used, including sFLCR, sFLC(κ+λ) and sFLC(κ-λ). Patients were divided into normal sFLCR group ( n=61)and abnormal group( n=95), as well as sFLC (κ+λ) low value group ( n=88) and high value group ( n=68), and sFLC (κ-λ) low value group ( n=64) and high value group ( n=92).The abnormal group and high value group were enrolled as the experimental group, while the normal group and low value group were enrolled as control group. Chi-square test and Fisher′s exact test were used to compare the clinical data, cytogenetics, and molecular biology characteristics of patients in two groups, Kaplan-Meier method was used to analyze the median treatment-free survival (TFS) of the patients, and Cox regression was used to screen the prognostic factors of the patients. Results:The proportion of Rai stage Ⅰ-Ⅳ ( χ2=8.16, P<0.05 and χ2=7.63, P<0.05 and χ2=5.45, P<0.05), Binet stage B-C( χ2=4.11, P<0.05 and χ2=9.43, P<0.05 and χ2=7.34, P<0.05), β 2-microglobulin>3.5 mg/L( χ2=5.13, P<0.05 and χ2=18.3, P<0.05 and χ2=12, P<0.05), ATM gene mutation rate( χ2=6.21, P<0.05 and χ2=4.88, P<0.05 and χ2=5.19, P<0.05), and immunoglobulin heavy chain variable region (IGHV) mutation free rate ( χ2=18.9, P<0.05 and χ2=24.6, P<0.05 and χ2=10.4, P<0.05)in the experimental group were significantly higher than that in control group 1 ( P<0.05). Multivariate analysis indicated that sFLC(κ+λ) ( HR=1.615,95% CI 1.012-2.576, P=0.044), β 2-microglobulin>3.5 mg/L( HR=2.103,95% CI 1.356-3.262, P=0.001) and TP53 deletion and/or mutation( HR=1.892,95% CI 1.082-3.308, P=0.025) were independent prognostic factors affecting the patients time to first treatment(TFT). Conclusions:Serum free light chains can predict the risk of early treatment and have good prognostic significance in newly diagnosed CLL patients.

Objective:To evaluate the clinical utility of machine learning model based radiomics in predicting high-risk molecular subtypes of lower-grade gliomas(LrGGs).Methods:This was a cross-sectional study. A total of 287 patients diagnosed with LrGGs in the First Hospital of Shanxi Medical University, Shanxi Provincial People′s Hospital, and the Third Hospital of Shanxi Medical University from January 2011 to September 2023 were retrospectively collected, including 166 males and 121 females; 114 cases of high-risk molecular subtypes and 173 cases of non-high-risk molecular subtypes. All patients were divided into 201 cases in the training set and 86 cases in the test set according to 7∶3 in simple randomized grouping method. All patients underwent contrast-enhanced T 1WI (CE-T 1WI) and T 2-weighted fluid-attenuated inversion recovery sequence imaging (T 2-FLAIR), and the imaging features of high-risk and non-high-risk molecular subtypes were analyzed. Analysis of variance, recursive feature elimination, and Kruskal-Wallis were used for radiomics feature screening, and a support vector machine (SVM) classifier was used to construct a radiomics-based classifier model. Univariate and multivariate logistic regression were used to analyze clinical variables independently influencing high-risk molecular subtypes of LrGGs to construct a clinical model; a combined model was developed by integrating radiomics labels and clinical variables. Receiver operating characteristic curve and area under the curve (AUC), calibration curve, and decision curve were used to compare the predictive performance of different models. Results:The patient′s age ( OR=1.042, 95% CI 1.018-1.068, P=0.001), pathological grade ( OR=2.270, 95% CI 1.212-4.311, P=0.011), MGMT methylation status ( OR=0.456, 95% CI 0.238-0.866, P=0.017), and ependymal involvement ( OR=7.335, 95% CI 2.929-18.370, P<0.001) were independent influencing factors for the high-risk molecular subtype of LrGGs, and a clinical model was developed based on these factors. An SVM model was constructed based on 12 radiomics features (3 radiomics features based on CE-T 1WI and 9 radiomics features based on T 2-FLAIR). The radiomics score of the probability output by the SVM model was combined with age, pathological grade, MGMT methylation status, and ependymal involvement to develop a combined model. The AUC values of the SVM model for predicting the high-risk molecular subtype of LrGGs were 0.824 and 0.859 in the training set and test set, respectively; the AUC values of the clinical model in the training set and test set were 0.759 and 0.721, respectively; and the AUC values of the combined model in the training set and test set were 0.823 and 0.815, respectively. The combined model had a high clinical net benefit. Conclusion:The machine learning MRI radiomics model can preoperatively predict high risk molecular subtypes of LGGrs, assist in individualized treatment decisions.

Objective To explore the deeper understanding of the pregnancy and delivery experience of three-child pregnant and matemal women,and to provide a basis for healthcare personnel to provide more systematic,safe,and targeted perinatal healthcare services and care measures for three-child pregnant and matemal women.Methods Purposive sampling method was used to select 17 cases of three-child pregnant and matemal women who were admitted and delivered in a tertiary level-A matemal and child healthcare hospital in Nanjing from August 2022 to June 2023 for semi-structured interviews,and Colaizzi 7-step process of analyzing,summarizing,and refining the themes was used.Results A total of 4 themes were extracted,including determination of willingness to become pregnant,perceived risks of childbirth,perceived benefits to themselves and their families,diversified support needs.Conclusion The establishment of pregnancy intention of three-child pregnant women is affected by many factors.Relevant departments should actively implement the supporting measures of the three-child birth policy;healthcare workers should strengthen perinatal healthcare services for three-child mothers to reduce the risk of giving birth,actively strengthen their sense of benefits related to pregnancy,and establish a whole process of support system to promote the health of mothers and infants.