ObjectiveTo explore the effects and mechanism of the modified Danggui Yinzi on "itch-anxiety" model rats of chronic urticaria （CU）. MethodsThe 36 SPF-grade 6-8-week-old female SD rats were randomly divided into a blank control group，a model group，a positive control group，a low-dose modified Danggui Yinzi group，a medium-dose modified Danggui Yinzi group，and a high-dose modified Danggui Yinzi group. A "itch-anxiety" model was established by intraperitoneal injection of a suspension of sodium chloride and aluminum hydroxide and ovalbumin，combined with chronic unpredictable emotional stress stimulation. After successful modeling，rats in each group were administered drugs by gavage. The positive control group was given intragastric administration of the drug solutions of cetirizine and fluoxetine （2.08 mg·kg^-1·d^-1 fluoxetine， 2 mg·kg^-1·d^-1 cetirizine）， the low-，medium-，and high-dose modified Danggui Yinzi groups were administered traditional Chinese medicine at 1.44，2.88， 5.76 g·kg^-1， respectively，while the blank control group and model group were given an equal volume of normal saline. All interventions lasted for 15 days. Behavioral changes were evaluated by the elevated plus-maze test （detecting the percentage of entries into the open arms （OE%），the percentage of time spent in the open arms （OT%），and the total number of entries into the open and closed arms （TNE）），the open-field test （detecting total activity，average movement speed，and latency to enter the central area），and scratching behavior observation. Pathological changes of skin tissues were observed by hematoxylin-eosin （HE） staining and toluidine blue staining，while those of amygdala tissues were observed by HE staining，Nissl staining，and immunofluorescence detection of ionized calcium-binding adapter molecule-1 （Iba-1）. The content of immunoglobulin E （IgE），interleukin-33 （IL-33），histamine in serum and glutamate in the amygdala was detected by enzyme-linked immunosorbent assay （ELISA）. Western blot was used to detect the protein expression of striatal-enriched protein tyrosine phosphatase （STEP），N-methyl-D-aspartate receptor subunit 2B （NR2B）， calmodulin-dependent protein kinase Ⅱ （CaMKⅡ），phosphorylated CaMKⅡ （p-CaMKⅡ），mitogen-activated protein kinase （MAPK），phosphorylated MAPK （p-MAPK），nuclear factor kappa-light-chain-enhancer of activated B cells （NF-κB），phosphorylated NF-κB （p-NF-κB），and postsynaptic density protein-95 （PSD-95） in the amygdala. ResultsCompared with the blank control group，the model group rats showed obvious anxiety-like behaviors （decreased OE%，OT%，and TNE，reduced total activity，slower average movement speed，and prolonged latency to enter the central area），increased scratching times，obvious skin inflammation and mast cell degranulation，severe amygdala tissue damage，increased glutamate content in the amygdala，and elevated levels of IgE and IL-33 in serum. The expression of STEP，NF-κB，p-NF-κB，NR2B，MAPK，p-MAPK，CaMKⅡ，and p-CaMKⅡ proteins in the amygdala increased，while the expression of PSD-95 protein decreased （P<0.05）. Compared with the model group，the modified Danggui Yinzi group of each dose had increased OE%，OT%，TNE，total activity，and average movement speed，shortened latency to enter the central area， reduced scratching times，alleviated skin inflammation and mast cell degranulation，relieved amygdala tissue damage，decreased glutamate content in the amygdala，and reduced levels of IgE and IL-33 in serum. Moreover，compared with the model group，the low -，medium-，and high-dose modified Danggui Yinzi groups showed decreased expression levels of STEP，NF-κB，p-NF-κB，NR2B，MAPK，p-MAPK，CaMKⅡ，and p-CaMKⅡ proteins in the amygdala，and increased expression of PSD-95 protein. There was a significant dose-effect relationship，with the high-dose group showing the most significant regulatory effect （P<0.05）. ConclusionThe modified Danggui Yinzi has a therapeutic effect on "itch-anxiety" model rats of CU. Its mechanism may be related to regulating glutamate metabolism in the amygdala，modulating the STEP/NR2B/CaMKⅡ/MAPK/NF-κB pathway，and regulating the expression of PSD-95.

Traditional Chinese medicine(TCM) decoction pieces are a core carrier for the inheritance and innovation of TCM, and their quality and safety are critical to public health and the sustainable development of the industry. Conventional quality control models, while having established a well-developed system through long-term practice, still face challenges such as relatively long inspection cycles, insufficient objectivity in characterizing complex traits, and urgent needs for improving the efficiency of integrating multidimensional quality information when confronted with the dual demands of large-scale production and precision quality control. With the rapid development of artificial intelligence, machine learning can deeply analyze multidimensional data of the morphology, spectroscopy, and chemical fingerprints of decoction pieces by constructing high-dimensional feature space analysis models, significantly improving the standardization level and decision-making efficiency of quality evaluation. This article reviews the research progress in the application of machine learning in the processing, production, and rapid quality evaluation of TCM decoction pieces. It further analyzes current challenges in technological implementation and proposes potential solutions, offering theoretical and technical references to advance the digital and intelligent transformation of the industry.
Machine Learning ; Drugs, Chinese Herbal/standards* ; Quality Control ; Medicine, Chinese Traditional/standards* ; Humans

Objective Based on 25 indicators including immune factors, cell count classification, and smear results of the knee joint fluid, machine learning models were established to distinguish between osteoarthritis (OA) and rheumatoid arthritis (RA). Methods 100 OA and 40 RA patients scheduled for total knee arthroplasty were enrolled respectively. Each patient's knee joint fluid was collected preoperatively. Nucleated cells were counted and classified. The expression levels of immune factors, including tumor necrosis factor alpha (TNF-α), interleukin-1 beta (IL-1β), IL-6, IL-8, IL-15, matrix metalloproteinase 3 (MMP3), MMP9, MMP13, rheumatoid factor (RF), serum amyloid A (SAA), C-reactive protein (CRP), and others were measured. Smears and microscopic classification of all the immune factors were performed. Independent influencing factors for OA or RA were identified using univariate binary logistic regression, Lasso regression, and multivariate binary logistic regression. Based on the independent influencing factors, three machine learning models were constructed which are logistic regression, random forest, and support vector machine. Receiver operating characteristic curve (ROC), calibration curve and decision curve analysis (DCA) were used to evaluate and compare the models. Results A total of 5 indicators in the knee joint fluid were screened out to distinguish OA and RA, which were IL-1β(odds ratio(OR)=10.512, 95× confidence interval (95×CI) was 1.048-105.42, P=0.045), IL-6 (OR=1.007, 95×CI was 1.001-1.014, P=0.022), MMP9 (OR=3.202, 95×CI was 1.235-8.305, P=0.017), MMP13 (OR=1.002, 95× CI was 1-1.004, P=0.049), and RF (OR=1.091, 95×CI was 1.01-1.179, P=0.026). According to the results of ROC, calibration curve and DCA, the accuracy (0.979), sensitivity (0.98) and area under the curve (AUC, 0.996, 95×CI was 0.991-1) of the random forest model were the highest. It has good validity and feasibility, and its distinguishing ability is better than the other two models. Conclusion The machine learning model based on immune factors in the knee joint fluid holds significant value in distinguishing OA and RA. It provides an important reference for the clinical early differential diagnosis, prevention and treatment of OA and RA.
Humans ; Arthritis, Rheumatoid/metabolism* ; Machine Learning ; Male ; Female ; Middle Aged ; Aged ; Synovial Fluid/immunology* ; Osteoarthritis, Knee/metabolism* ; Knee Joint/metabolism* ; ROC Curve ; Diagnosis, Differential

Sjogren's syndrome (SS) is a common autoimmune disorder that primarily targets exocrine glands, leading to hallmark manifestations of xerostomia and xerophthalmia, with potential progression to multisystem involvement. The rapid advances in omics technologies-including metabolomics, proteomics, and transcriptomics-have yielded substantial insights into SS pathophysiology. This review consolidates current evidence on omics-derived biomarkers in SS. Studies consistently implicate aberrant glucose metabolism, neutrophil-derived enzyme activity, mitochondrial bioenergetic impairment, ferroptosis, and apoptotic pathways as central to SS development. These findings refine our understanding of disease mechanisms and the heterogeneity of therapeutic responses. Hydroxyproline has emerged as a candidate marker for distinguishing SS from IgG4-related disease, whereas distinct cytokine and chemokine signatures may enable earlier diagnosis. Genomic analyses demonstrate a robust association between expression of the rs11797 locus and SS-related lymphomagenesis, and several genes controlling DNA methylation represent promising therapeutic targets. Collectively, these findings lay the groundwork for personalized risk stratification and intervention in SS. The review concludes by summarizing existing progress and outlining priorities for future omics-based investigations.
Humans ; Sjogren's Syndrome/diagnosis* ; Biomarkers/analysis* ; Metabolomics/methods* ; Proteomics/methods* ; Genomics ; Multiomics

Anxiety disorder is a highly prevalent psychological illness, and research has shown that obesity is a significant risk factor for its development. This study explored the ameliorative effects and mechanisms of saponins from Panax japonicus(SPJ) on anxiety disorder in mice fed a high-fat diet(HFD). Fifty C57BL/6J mice were randomly divided into normal control diet(NCD) group, HFD group, and low-and high-dose SPJ groups. At week 12, six mice from the HFD group were further divided into a control group(treated with DMSO) and an exogenous fibroblast growth factor 21(FGF21) group(administered rFGF21). The anxiety-like behavior of the mice was assessed using the open field test and elevated plus maze test. Hematoxylin-eosin(HE) staining and oil red O staining were performed to observe pathological changes in the liver and adipose tissue. Glucose metabolism was evaluated through the glucose tolerance test(GTT) and insulin tolerance test(ITT). Western blot analysis was performed to detect the expression of FGF21 and its downstream-related proteins in the liver and cortex, along with the expression of brain-derived neurotrophic factor(BDNF), disks large homolog 4(DLG4), and synaptophysin(SYP) in the cortex. Real-time quantitative fluorescent PCR(qPCR) was used to detect the expression of FGF21 and its receptor genes in the liver and cortex. Immunofluorescence staining was employed to examine the expression of neuronal activator c-Fos, FGF21, and the FGF21 co-receptor β-klotho in the cerebral cortex. The results showed that SPJ significantly improved the frequency of activity in the open arms of the elevated plus maze and the central area of the open field in HFD mice, up-regulated the expression of BDNF, DLG4, and SYP, and effectively alleviated anxiety-like behaviors in HFD mice. Compared with the NCD group, HFD mice exhibited up-regulated expression of FGF21 in the liver and cerebral cortex, while the expression of fibroblast growth factor receptor 1(FGFR1) and β-klotho was significantly down-regulated, suggesting that HFD mice exhibited FGF21 resistance. SPJ markedly up-regulated the β-klotho levels in HFD mice, reversing FGF21 resistance. Further comparison with exogenously administered FGF21 revealed that SPJ activates brain cortical regions in a consistent manner, and additionally, SPJ promotes the number and colocalization of c-Fos and β-klotho positive cells in the brain cortex. In summary, SPJ effectively alleviates anxiety-like behaviors in HFD mice. Its mechanism is associated with up-regulation of β-klotho expression in the brain, reversal of FGF21 resistance, and subsequent activation of neurons in the cerebral cortex and amygdala.
Animals ; Diet, High-Fat/adverse effects* ; Fibroblast Growth Factors/genetics* ; Mice ; Male ; Panax/chemistry* ; Mice, Inbred C57BL ; Anxiety/etiology* ; Saponins/administration & dosage* ; Brain-Derived Neurotrophic Factor/genetics* ; Humans ; Liver/metabolism* ; Drugs, Chinese Herbal/administration & dosage*

Objective::To evaluate the early pregnancy loss (EPL) rates in women with and without low molecular weight heparin (LMWH) treatment during early pregnancy.Methods::A retrospective, non-randomized study was conducted at Guangzhou Women and Children’s Medical Center between June 2019 and March 2022, involving women diagnosed with polycystic ovary syndrome (PCOS). All participants conceived following standard preconception care and voluntarily chose either the control group or the LMWH intervention group during the first month of pregnancy. The intervention was administered throughout the entire first trimester. Early and final pregnancy outcomes were recorded, with a particular focus on EPL rates. In addition, venous blood samples and clinical data were collected to compare hormonal profiles, blood lipid levels, and anthropometric parameters between the two groups. Statistical analyses included the two-tailed unpaired Student’s t-test, Mann–Whitney U test, Chi-square test, and Kaplan–Meier survival analysis. A value of P < 0.050 was considered statistically significant. Results::Thirty-eight women in the LMWH group and 102 women in the control group were included. The EPL rates in the LMWH and control groups were 5.3% (2/38) and 26.5% (27/102), respectively ( χ2 = 7.582, P = 0.006, odds ratio ( OR) = 0.154, 95% confidence interval ( CI): 0.035-0.685). The age ( P = 0.005), PCOS subtype ( P = 0.012), and levels of total cholesterol ( P = 0.003), and high-density lipoprotein ( P = 0.018) were significantly different between these two groups. Continued follow-up was performed to observe the long-time effects of LMWH treatment in early pregnancy. Seventy-three patients were successfully delivered, 23 patients in the LMWH group and 50 patients in the control group. There was no significant difference between the LMWH and control groups in gestation length, bleeding during delivery, birth weight, gender of the newborn, or mode of delivery. In addition, Kaplan-Meier curve analysis revealed that LMWH treatment may decrease the risk of EPL in PCOS patients in the first trimester ( χ2 = 4.144, P = 0.040). Conclusion::LMWH treatment during early pregnancy may reduce the EPL rate in women with PCOS.

Objective::To evaluate the early pregnancy loss (EPL) rates in women with and without low molecular weight heparin (LMWH) treatment during early pregnancy.Methods::A retrospective, non-randomized study was conducted at Guangzhou Women and Children’s Medical Center between June 2019 and March 2022, involving women diagnosed with polycystic ovary syndrome (PCOS). All participants conceived following standard preconception care and voluntarily chose either the control group or the LMWH intervention group during the first month of pregnancy. The intervention was administered throughout the entire first trimester. Early and final pregnancy outcomes were recorded, with a particular focus on EPL rates. In addition, venous blood samples and clinical data were collected to compare hormonal profiles, blood lipid levels, and anthropometric parameters between the two groups. Statistical analyses included the two-tailed unpaired Student’s t-test, Mann–Whitney U test, Chi-square test, and Kaplan–Meier survival analysis. A value of P < 0.050 was considered statistically significant. Results::Thirty-eight women in the LMWH group and 102 women in the control group were included. The EPL rates in the LMWH and control groups were 5.3% (2/38) and 26.5% (27/102), respectively ( χ2 = 7.582, P = 0.006, odds ratio ( OR) = 0.154, 95% confidence interval ( CI): 0.035-0.685). The age ( P = 0.005), PCOS subtype ( P = 0.012), and levels of total cholesterol ( P = 0.003), and high-density lipoprotein ( P = 0.018) were significantly different between these two groups. Continued follow-up was performed to observe the long-time effects of LMWH treatment in early pregnancy. Seventy-three patients were successfully delivered, 23 patients in the LMWH group and 50 patients in the control group. There was no significant difference between the LMWH and control groups in gestation length, bleeding during delivery, birth weight, gender of the newborn, or mode of delivery. In addition, Kaplan-Meier curve analysis revealed that LMWH treatment may decrease the risk of EPL in PCOS patients in the first trimester ( χ2 = 4.144, P = 0.040). Conclusion::LMWH treatment during early pregnancy may reduce the EPL rate in women with PCOS.

Atmospheric particulate matter has an association with respiratory system inflammation, and low molecular weight hyaluronic acid (LMW-HA) is a key biomarker of inflammatory cascade reaction. This review summarized the possible pathways and biomarkers of atmospheric particulate matter causing respiratory system inflammation through high molecular weight hyaluronic acid (HMW-HA)/LMW-HA imbalance, including the synthesis and decomposition of HA, the reduction of particulate matter and HMW-HA, the increase of LMW-HA, and the relationship between LMW-HA and respiratory system inflammation. Furthermore, inhibitors and therapeutic drugs targeting certain biomarkers were further listed. This review could shed light on the mechanism of respiratory system inflammation caused by atmospheric particulate matter and the weak points that need attention in subsequent research.

Objective To explore the value of vesical imaging reporting and data system(VI-RADS)combined with absolute tumor-wall contact length(ABTCL)and actual tumor-wall contact length(ACTCL)in diagnosing muscle invasive bladder cancer(MIBC).Methods The MRI data of 113 patients with pathologically confirmed bladder cancer(BCa)were analyzed retrospectively.All patients underwent conventional MRI,diffusion weighted imaging(DWI)and dynamic contrast enhanced(DCE)MRI before sur-gery.Two radiologists independently evaluated MRI images based on VI-RADS score,and measured quantitative parameters,inclu-ding ABTCL and ACTCL.The Chi-square test was used to compare the difference of VI-RADS scores between MIBC and non-mus-cle invasive bladder cancer(NMIBC).Quantitative parameters between MIBC and NMIBC were compared by Mann-Whitney U test.The receiver operating characteristic(ROC)curve was used to evaluate the diagnostic value of VI-RADS,quantitative parameters and VI-RADS combined with quantitative parameters in the diagnosis of MIBC.Results VI-RADS,ABTCL and ACTCL had significant differences between MIBC and NMIBC(P＜0.05).The area under the curve(AUC)for VI-RADS,ABTCL and ACTCL in diagno-sing MIBC were 0.89,0.76 and 0.77,respectively.There was no significant difference between the AUC for ABTCL and ACTCL(P＞0.05).The AUC for VI-RADS combined with ABTCL or ACTCL in diagnosing MIBC was 0.93,higher than that of only VI-RADS(P＜0.05).Conclusion The combination of VI-RADS with either ABTCL or ACTCL can effectively improve the diagnostic performance of MIBC.ABTCL obtainedby linear measurement is easier to implement in clinical practice than ACTCL obtained by curved measurement.

Atmospheric particulate matter has an association with respiratory system inflammation, and low molecular weight hyaluronic acid (LMW-HA) is a key biomarker of inflammatory cascade reaction. This review summarized the possible pathways and biomarkers of atmospheric particulate matter causing respiratory system inflammation through high molecular weight hyaluronic acid (HMW-HA)/LMW-HA imbalance, including the synthesis and decomposition of HA, the reduction of particulate matter and HMW-HA, the increase of LMW-HA, and the relationship between LMW-HA and respiratory system inflammation. Furthermore, inhibitors and therapeutic drugs targeting certain biomarkers were further listed. This review could shed light on the mechanism of respiratory system inflammation caused by atmospheric particulate matter and the weak points that need attention in subsequent research.