Objective To investigate the ameliorative effects and mechanisms of six types of tea(green tea,cyan tea,red tea,white tea,black tea and yellow tea)on metabolic disorders in obesity mice induced by high-fat diet(HFD).Methods Four-week-old male C57BL/6J mice were randomly divided into 8 groups with 7 mice per group.An HFD-induced obese mouse model was established,and the mice in control group maintained on standard diet followed by intragastric administration of different teas for 5 weeks.The body weight,liver weight ratio,fasting blood glucose,and lipid profile of the mice were measured to assess glucose and lipid metabolism.Serum inflammatory factors including IL-6,tumor necrosis factor-alpha(TNF-α)and oxidative stress markers[malondialdehyde(MDA)and superoxide dismutase(SOD)were measured.Additionally,liver histopathology and the expression of key glycolipid metabolism-related genes,adenosine monophosphate-activated protein kinase(AMPK)and carnitine palmitoyltransferase 1(CPT-1),were analyzed to explore underlying mechanisms.Results Cyan tea significantly suppressed weight gain,demonstrating superior weight control.White tea markedly reduced fasting blood glucose levels and decreased the area under the curve of oral glucose tolerance test(OGTT)and insulin tolerance test(ITT),indicating synergistic improvements in glucose metabolism and insulin sensitivity.Yellow tea exhibited exceptional anti-inflammatory and antioxidant effects,reducing hepatic IL-6 and MDA while enhancing SOD activity.Green tea activated the lipid oxidation pathway by upregulating AMPK/CPT-1 expression.All kinds of tea significantly attenuated hepatic lipid droplet accumulation.Conclusion All six types of tea alleviated metabolic disorders by reducing hepatic fat content in obesity mice.However,different types of tea exert their unique effects on improving metabolic disorders through differential mechanisms such as glucose metabolism regulation,lipid oxidation,and anti-inflammatory and antioxidant actions.

Objective:To establish a rapid quantitative model for the determination of moisture,extractives,and content in Pollen Typhae.Methods:Near-infrared spectra of 91 batches of Pollen Typhae samples were collected.Spectral preprocessing was performed using S-G,MSC,SNV,and CWT methods.Variable selection was conducted using CARS,SPA,and VIP methods,and compared with full-spectrum modeling.Partial least squares(PLS)mod-els were established for the quantitative determination of moisture,total ash,extractives,and content.The model performance was evaluated by calculating the coefficient of determination for the calibration set and validation set(R2 c,R2v),root mean square error of calibration and validation(RMSEc,RMSEv),and residual prediction devia-tion(RPD).Results:The PLS models for moisture,extractives,and content in Pollen Typhae showed R2c and R2v values greater than 0.9,RMSEc and RMSEv values approaching 0,and RPD values greater than 3.Conclusion:In this study,near-infrared spectroscopy was used to construct quantitative prediction models for moisture,extractives,typhaneoside,and isorhamnetin-3-O-neohesperidoside content in Pollen Typhae.This method enables rapid detection of the main quality control indicators of Pollen Typhae,providing strong technical support for its quality supervision.

ObjectiveTo investigate the distribution of traditional Chinese medicine （TCM） syndromes in intrahepatic cholestasis of pregnancy （ICP） and its association with perinatal outcomes， and to provide a basis for precise treatment based on TCM syndrome differentiation. MethodsA cross-sectional study was conducted among 275 patients with ICP who were admitted to The Affiliated Hospital of Chengdu University of Traditional Chinese Medicine from April 2023 to April 2025. A hierarchical cluster analysis was used to summarize TCM syndromes. The Kruskal-Wallis H test was used for comparison of non-normally distributed continuous data between groups， and the chi-square test was used for comparison of categorical data between groups. A multivariate Logistic regression analysis was used to identify the clinical features significantly associated with TCM syndrome. ResultsThe cluster analysis identified three core TCM syndromes among the 275 patients with ICP， i.e.， liver-gallbladder damp-heat syndrome （45.8%）， syndrome of blood deficiency generating wind （30.9%）， and liver depression and spleen deficiency syndrome （23.3%）. There was a significant difference in the distribution of TCM syndromes between different groups stratified by maternal age at delivery， parity， history of ICP recurrence， gestational weeks at disease onset， total bile acid （TBA）， alanine aminotransferase （ALT）， and comorbidity with gestational diabetes mellitus （GDM） （all P<0.05）. The multivariate Logistic regression analysis showed that<34 gestational weeks at disease onset was significantly associated with all three syndromes （damp-heat： odds ratio ［OR］=3.769， P<0.001； blood deficiency： OR=4.031， P<0.001； liver stagnation： OR=3.552， P<0.001）. Liver-gallbladder damp-heat syndrome was associated with maternal age ≥35 years at disease onset （OR=2.048， P=0.014）， parity ≥2 times （OR=1.921， P=0.034）， history of ICP recurrence （OR=2.404， P=0.030）， ALT ≥200 U/L （OR=2.051， P=0.018）， comorbidity with GDM （OR=1.944， P=0.029）， and TBA ≥40 μmol/L （OR=2.542， P=0.024）. The syndrome of blood deficiency generating wind syndrome was associated with maternal age ≥35 years （OR=2.939， P=0.003）， parity ≥2 time （OR=3.222， P=0.003）， history of ICP recurrence （OR=3.809， P=0.010）， ALT ≥200 U/L （OR=2.889， P=0.006）， comorbidity with GDM （OR=3.711， P=0.001）， and comorbidity with hypertensive disorders of pregnancy （OR=4.472， P=0.011）. Liver depression and spleen deficiency syndrome was associated with TBA ≥40 μmol/L （OR=2.995， P=0.044）. The analysis of perinatal outcomes showed that there were significant differences in mode of delivery， gestational weeks at the time of delivery， postpartum blood loss， and neonatal birth weight between the three groups with different TCM syndromes （all P<0.05）. ConclusionLiver-gallbladder damp-heat syndrome， syndrome of blood deficiency generating wind， and liver depression and spleen deficiency syndrome are the main TCM syndrome types in ICP， and the distribution of TCM syndromes is closely associated with clinical factors and perinatal outcomes， which provides a basis for precise TCM syndrome differentiation and individualized treatment.

Objective:To establish a rapid quantitative model for the determination of moisture,extractives,and content in Pollen Typhae.Methods:Near-infrared spectra of 91 batches of Pollen Typhae samples were collected.Spectral preprocessing was performed using S-G,MSC,SNV,and CWT methods.Variable selection was conducted using CARS,SPA,and VIP methods,and compared with full-spectrum modeling.Partial least squares(PLS)mod-els were established for the quantitative determination of moisture,total ash,extractives,and content.The model performance was evaluated by calculating the coefficient of determination for the calibration set and validation set(R2 c,R2v),root mean square error of calibration and validation(RMSEc,RMSEv),and residual prediction devia-tion(RPD).Results:The PLS models for moisture,extractives,and content in Pollen Typhae showed R2c and R2v values greater than 0.9,RMSEc and RMSEv values approaching 0,and RPD values greater than 3.Conclusion:In this study,near-infrared spectroscopy was used to construct quantitative prediction models for moisture,extractives,typhaneoside,and isorhamnetin-3-O-neohesperidoside content in Pollen Typhae.This method enables rapid detection of the main quality control indicators of Pollen Typhae,providing strong technical support for its quality supervision.

Endometriosis (EMS) is a chronic systemic disease prevalent in women of reproductive age. The signs and symptoms of this disease are not specific, and the severity of the disease varies, leading to clinical heterogeneity, which increases the difficulty of diagnosis. It seriously affects the quality of life of patients and also occupies a large amount of social health resources. Artificial intelligence (AI) refers to the ability of a computer technology to enable machines to simulate human intelligence, including perception, learning, reasoning, decision making and language understanding. AI serves as a powerful data-mining tool capable of processing large amounts of medical data and diagnosing, managing, and treating patients according to their specific conditions. Especially in the diagnostic process of EMS, the use of AI can improve the detection rate and shorten the diagnostic time while increasing the diagnostic sensitivity and specificity. In this paper, we provide an overview of the application of medical big data and AI to the diagnosis and treatment of EMS in order to provide new aids to further improve diagnostic efficiency and therapeutic efficacy.

Endometriosis (EMS) is a chronic systemic disease prevalent in women of reproductive age. The signs and symptoms of this disease are not specific, and the severity of the disease varies, leading to clinical heterogeneity, which increases the difficulty of diagnosis. It seriously affects the quality of life of patients and also occupies a large amount of social health resources. Artificial intelligence (AI) refers to the ability of a computer technology to enable machines to simulate human intelligence, including perception, learning, reasoning, decision making and language understanding. AI serves as a powerful data-mining tool capable of processing large amounts of medical data and diagnosing, managing, and treating patients according to their specific conditions. Especially in the diagnostic process of EMS, the use of AI can improve the detection rate and shorten the diagnostic time while increasing the diagnostic sensitivity and specificity. In this paper, we provide an overview of the application of medical big data and AI to the diagnosis and treatment of EMS in order to provide new aids to further improve diagnostic efficiency and therapeutic efficacy.

Objective To investigate the ameliorative effects and mechanisms of six types of tea(green tea,cyan tea,red tea,white tea,black tea and yellow tea)on metabolic disorders in obesity mice induced by high-fat diet(HFD).Methods Four-week-old male C57BL/6J mice were randomly divided into 8 groups with 7 mice per group.An HFD-induced obese mouse model was established,and the mice in control group maintained on standard diet followed by intragastric administration of different teas for 5 weeks.The body weight,liver weight ratio,fasting blood glucose,and lipid profile of the mice were measured to assess glucose and lipid metabolism.Serum inflammatory factors including IL-6,tumor necrosis factor-alpha(TNF-α)and oxidative stress markers[malondialdehyde(MDA)and superoxide dismutase(SOD)were measured.Additionally,liver histopathology and the expression of key glycolipid metabolism-related genes,adenosine monophosphate-activated protein kinase(AMPK)and carnitine palmitoyltransferase 1(CPT-1),were analyzed to explore underlying mechanisms.Results Cyan tea significantly suppressed weight gain,demonstrating superior weight control.White tea markedly reduced fasting blood glucose levels and decreased the area under the curve of oral glucose tolerance test(OGTT)and insulin tolerance test(ITT),indicating synergistic improvements in glucose metabolism and insulin sensitivity.Yellow tea exhibited exceptional anti-inflammatory and antioxidant effects,reducing hepatic IL-6 and MDA while enhancing SOD activity.Green tea activated the lipid oxidation pathway by upregulating AMPK/CPT-1 expression.All kinds of tea significantly attenuated hepatic lipid droplet accumulation.Conclusion All six types of tea alleviated metabolic disorders by reducing hepatic fat content in obesity mice.However,different types of tea exert their unique effects on improving metabolic disorders through differential mechanisms such as glucose metabolism regulation,lipid oxidation,and anti-inflammatory and antioxidant actions.

Objective To study the clinical manifestations,laboratory features,and labial gland pathological features in children with systemic lupus erythematosus(SLE)complicated by Sj?gren's syndrome(SS).Methods A retrospective analysis was conducted on 102 children with SLE who underwent labial gland biopsies at Renji Hospital,Shanghai Jiao Tong University School of Medicine from January 2013 to December 2022.The children were divided into two groups based on the presence of SS:the SLE with SS group(SLE-SS;60 children)and the SLE-only group(42 children).According to the focus score(FS)of the labial glands,children in the SLE-SS group were further subdivided into FS≥4 subgroup(26 children)and FS<4 subgroup(34 children).The clinical data of the groups were compared.Results Compared to the SLE-only group,children in the SLE-SS group had less skin and mucosal involvement,were more likely to have positive anti-SSA and anti-SSB antibodies,and had higher levels of rheumatoid factor(P<0.05).There was no significant difference in treatment protocols between the two groups(P>0.05).Compared to the FS<4 subgroup,the FS≥4 subgroup had more frequent musculoskeletal involvement(P<0.05),but there was no significant difference in SLE disease activity or other major organ involvement between the subgroups(P>0.05).Conclusions Children with SLE complicated by SS are less likely to have skin and mucous membrane involvement and exhibit specific serological characteristics.The SLE-SS children with an FS≥4 are more likely to experience musculoskeletal involvement.However,FS is not associated with disease activity or other significant organ damage.

Objective:To explore the regulatory role of the melanin-concentrating hormone (MCH) neural pathway from the lateral hypothalamus (LHA) to the nucleus accumbens (NAc) in modulating anxiety-like behavior in mice.Methods:Totally 37 male SPF-grade C57BL/6J mice, aged 6 to 8 weeks and weighed 18-22 g, were used for the following experiment: (1) Five mice received an injection of Fluoro-Gold (FG) into the NAc, followed by retrograde tracing combined with immunofluorescence staining after one week to observe the coexistence of FG and MCH immunopositive neurons in the LHA.(2)Thirty-two mice were injected with adeno-associated virus which could activate the MCH neurons into the LHA.After two weeks, they were randomly divided into four groups and received different drug injections: normal saline (NS, intraperitoneal injection)+ NS (1.5 μL, injection in the NAc) group, NS(intraperitoned injection) + SNAP94847 (SNAP, 2 mg/mL, 1.5 μL, injection in the NAc) group, chlorprothixene N-oxide (CNO, 0.15 mg/kg, intraperitoned injection) + NS(1.5 μL, injection in the NAc) group, and CNO(intraperitoned injection) + SNAP(1.5 μL injection in the NAc) group, and the SNAP94847 was an antagonist for MCH typel receptor.The open field test (OFT), elevated plus maze (EPM), and marble burial test (MBT) were employed to assess the impact of chemogenetic activation of MCH neurons on anxiety-related behavior in mice.Results:(1) The results of FG retrograde tracing combined with immunofluorescence histochemistry showed that MCH neurons in the LHA project their neural fibers to NAc neurons.(2) In the chemogenetic experiment, there was no significant interaction effect between CNO and SNAP in terms of the duration of stay ( Finteraction=2.899, P>0.05) and the distance moved ( Finteraction=1.603, P>0.05) in the central area during OFT experiments.However, the main effects of both CNO and SNAP intervention were significant in the duration of stay ( FCNO=6.767, FSNAP=7.656, both P<0.05) and the distance moved ( FCNO=12.480, FSNAP=7.999, both P<0.01) in the central area.Compared to the NS+ NS group, mice in the CNO+ NS group exhibited a shortened duration of stay ((89.00±19.16)s, (63.75±13.58)s, P<0.05) and a decrease in distance moved ((593.79±108.18)cm, (426.81±66.14)cm, P<0.05) in the central area.In contrast, mice in the CNO+ SNAP group had an extended duration of stay ((87.38±16.57)s) and an increase in distance moved ((569.27±73.20)cm) in the central area compared to the CNO+ NS group.There was no significant interaction effect between CNO and SNAP in the number of entries ( Finteraction=2.79, P>0.05) and the dwell time ( Finteraction=2.871, P>0.05) into the open arms of EPM experiments.However, the main effects of both CNO and SNAP interventions in the number of entries ( FCNO=10.43, P<0.01; FSNAP=4.96, P<0.05) and the dwell time ( FCNO=5.232, FSNAP=7.597, both P<0.05) into the open arms were significant.Compared to the NS+ NS group, mice in the CNO+ NS group showed a decrease in the number of entries ((13.13±3.36), (7.63±3.70), P<0.01) and a decrease in open arm dwell time ((37.68±11.37) s, (22.98±7.00) s, P<0.05) into the open arms.The CNO+ SNAP group had an increased number of entries (12.00±3.02) and an increased dwell time ((39.41±10.58)s) into the open arms compared to the CNO+ NS group(both P<0.05).There was no significant interaction effect between CNO and SNAP in the MBT experiment ( Finteraction=2.746, P>0.05).However, the main effects of both CNO and SNAP interventions were significant ( FCNO=8.125, P<0.01; FSNAP=5.383, P<0.05).Compared to the NS+ NS group, the number of buried beads increased in the CNO+ NS group ((16.13±2.10), (11.88±3.23), P<0.05).Conversely, the number of buried beads decreased in the CNO+ SNAP group compared to the CNO+ NS group ((12.38±2.33), (16.13±2.10), P<0.05). Conclusion:Enhanced activity in the MCHergic neural pathway from LHA to NAc can promote anxiety-like behavior in mice, providing new insights into the mechanisms underlying anxiety.

Purpose: This study explored the association of the elasticity modulus and shear wave velocity (SWV) of the tibialis anterior muscle, as measured by two-dimensional shear wave elastography (2D-SWE), with the intracompartmental pressure (ICP) determined using the Whitesides method in a New Zealand rabbit model of acute compartment syndrome (ACS). Additionally, it evaluated the viability of 2D-SWE as a noninvasive, quantitative tool for the early detection of ACS. Methods: An ACS model was established through direct external compression by applying pressure bandaging to the lower legs of 15 New Zealand rabbits using neonatal blood pressure cuffs. Another five animals represented a non-modeled control group. To measure the elasticity modulus and SWV of the tibialis anterior muscles, 2D-SWE was employed. Blood oxygen saturation, serum creatine kinase (CK), and myoglobin levels were monitored. Subsequently, the anterior tibial compartment was dissected, and the tibialis anterior was removed for hematoxylin and eosin staining to assess muscle injury. Results: The elasticity modulus and SWV of the tibialis anterior muscle increased with compression duration, as did serum CK and myoglobin levels. ICP was strongly positively correlated with these parameters, particularly mean velocity (r=0.942, P<0.001) and CK (r=0.942, P<0.001). Blood oxygen saturation was negatively correlated with ICP (r=-0.887, P<0.001). Histological analysis indicated progressive muscle cell swelling over time, with damage transitioning from reversible to irreversible and culminating in necrosis. Conclusion In a rabbit ACS model, ICP was strongly positively correlated with muscle elasticity modulus/SWV. Consequently, 2D-SWE may represent a novel tool for assessing early-phase ACS.