Gouty arthritis （GA） is caused by monosodium urate（MSU） deposition due to purine metabolism disorders. In traditional Chinese medicine （TCM）， it falls under the category of "dampness-heat Bi syndrome"， with core pathogenesis involving dampness-heat accumulation and dysfunction of the spleen and kidney. The dampness-heat syndrome is the most common and the primary syndrome type during acute attacks. In Western medicine， GA is associated with purine metabolism imbalance and inflammation triggered by MSU crystals， involving pathways such as NOD-like receptor protein 3 （NLRP3） inflammasome activation and Toll-like receptor 2/4 （TLR2/4） signaling. Clinically， colchicine and similar drugs are commonly used to treat GA， although long-term use carries potential side effects. Ermiao Formula analogs originate from ancient prescriptions， including Ermiao， Sanmiao， and Simiao compound formulas. All contain Atractylodis Rhizoma and Phellodendri Chinensis Cortex. Ermiaowan follow a 1∶1 formulation ratio. Sanmiaowan add Cyathulae Radix. Simiaowan further incorporate Coicis Semen. These formulas are rich in active ingredients， including alkaloids， terpenoids， flavonoids， and sterols， and treat GA through multi-component， multi-pathway， and multi-target mechanisms. Ermiaosan primarily exerts anti-inflammatory effects by inhibiting pathways such as TLR4/nuclear factor kappa-B （NF-κB） or regulating immune responses to reduce the release of inflammatory mediators， while also suppressing xanthine dehydrogenase （XDH） and xanthine oxidase （XO） activity to decrease uric acid production. Sanmiaowan enhance uric acid-lowering and anti-inflammatory effects through the guiding herb Cyathulae Radix， while also protecting cartilage from damage. Simiaowan utilizes Coicis Semen to regulate intestinal flora， alleviate dampness-heat symptoms， and exert multi-pathway anti-inflammatory and uric acid-lowering effects. The active ingredients contribute differently to uric acid metabolism regulation， anti-inflammation， antioxidant activity， and bone repair， resulting in varying therapeutic effects due to differences in formula composition. In summary， formulas derived from Ermiaosan demonstrate significant efficacy in treating dampness-heat type GA. This review summarizes their research progress and mechanisms， providing a reference for clinical application， new drug development， and further studies.

ObjectiveTo investigate the potential mechanisms and pathways through which Gandouling （GDL） exerts its effects in the treatment of liver fibrosis in Wilson disease. MethodsSixty male SD rats were randomly divided into six groups： the normal group， the model group， the GDL low-， medium-， and high-dose groups （0.24， 0.48， 0.96 g·kg^-1）， and the penicillamine group （90 mg·kg^-1）， with 10 rats in each group. A copper-loaded Wilson disease rat model was established by gavage administration of 300 mg·kg^-1 copper sulfate pentahydrate to all groups except the normal group. Hematoxylin-eosin （HE） staining and Masson staining were used to observe the pathomorphological changes in the liver. Enzyme-linked immunosorbent assay （ELISA） was employed to measure the levels of hyaluronic acid （HA）， laminin （LN）， procollagen type-Ⅲ peptide （PC-Ⅲ）， and collagen type-Ⅳ （C-Ⅳ）. Transmission electron microscopy was used to examine the ultrastructure of liver tissues. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to detect the expression levels of liver tissues and serum exosomal long noncoding RNA H19 （LncRNA H19）， phosphatidylinositol 3-kinase （PI3K）， protein kinase B （Akt）， and mammalian target of rapamycin （mTOR）. Western blot analysis was performed to assess the expression levels of PI3K， Akt， mTOR， and their phosphorylated forms， as well as autophagy-related proteins Beclin1 and microtubule-associated protein 1 light chain 3B （LC3-Ⅱ/LC3-Ⅰ） in liver tissues. Beclin1 and LC3-Ⅱ fluorescence signal intensity was observed by immunofluorescence. ResultsCompared with the normal group， the model group exhibited inflammatory cell infiltration in hepatocytes， unclear nuclear boundaries with cell cleavage and necrosis， and collagen fiber deposition around confluent areas. The levels of HA， LN， PC-Ⅲ， and C-Ⅳ were significantly elevated （P<0.01）. Transmission electron microscopy revealed an increased number of autophagic vesicles， with autophagic lysosomes exhibiting a single-layer membrane structure following degradation of most envelopes. Expression levels of Beclin1 and LC3-Ⅱ/LC3-Ⅰ were significantly increased （P<0.01）， and fluorescence signals of Beclin1 and LC3-Ⅱ were markedly enhanced. The protein expression levels of PI3K， Akt， mTOR， p-PI3K， p-Akt， and p-mTOR were reduced （P<0.01）， while LncRNA H19 expression was increased （P<0.01）， and mRNA expression levels of PI3K， Akt， and mTOR were decreased （P<0.01）. After treatment with GDL， the degree of liver fibrosis was significantly improved， with decreased levels of HA， LN， PC-Ⅲ， and C-Ⅳ. The number of autophagic vesicles was significantly reduced， and expression levels of Beclin1 and LC3-Ⅱ/LC3-Ⅰ proteins were lower （P<0.01）. The fluorescence signals of Beclin1 and LC3-Ⅱ weakened dose-dependently. The protein levels of PI3K， Akt， mTOR， p-PI3K， p-Akt， and p-mTOR were elevated （P<0.01）， while the expression level of LncRNA H19 was reduced （P<0.01）. Furthermore， the mRNA expression levels of PI3K， Akt， and mTOR increased （P<0.05， P<0.01）. ConclusionGDL may alleviate liver fibrosis and reduce liver injury by regulating the PI3K/Akt/mTOR autophagy signaling pathway via LncRNA H19.

Objective: To explore the prospective association between multidimensional sleep indicators and the risk of newlyonset dental caries, providing a reference for childrens oral healthrelated sleep intervention. Methods: In October 2021, 1 417 students in grades 1 to 4 (aged 6 to 11) from two elementary schools in Bengbu, Anhui Province, were selected by cluster sampling method. Surveys and followup visits were conducted at baseline (T1), November 2022 (T2), May 2023 (T3), and November 2023 (T4), respectively, including parental questionnaires, oral health and physical examination. Bedtime, sleep duration, sleep midpoint, social jet lag, weekend catchup sleep, and sleep habits were collected and calculated. A multifactorial Cox proportional risk regression model was used to analyze the association between multidimensional sleep indicators and newlyonset caries in schoolaged children after 2 years. Results: The prevalence of dental caries in children was 65.1% at baseline, and the prevalence was 59.0% at the end of the 2year followup. Cox proportional risk regression model showed that for every 1point increase in the childrens bedtime resistance, nocturnal awakenings, parasomnias, and daytime sleepiness scores, the risk of newlyonset caries increased by 12% (HR=1.12, 95%CI=1.08-1.15), 22% (HR=1.22, 95%CI=1.15-1.29), 12% (HR=1.12, 95%CI=1.08-1.17), and 15% (HR=1.15, 95%CI=1.12-1.19), respectively; the risk of newlyonset caries increased by 23% for each 1 h increase in the length of weekend catchup sleep (HR=1.23, 95%CI=1.14 -1.33); compared with children who went to bed before 21:00 on school days, those who went to bed later than 22:00 had a 57% higher risk of newlyonset caries (HR=1.57, 95%CI=1.22-2.03). Compared to children who slept adequately (≥9 h/d), those with insufficient sleep had a 67% higher risk of new caries (HR=1.67, 95%CI=1.43-1.95) (P<0.01). Conclusions These findings suggest a significant association between sleep patterns/sleep disorders and the development of childhood dental caries. Incorporating sleep behavior optimization and sleep quality improvement into comprehensive caries prevention and oral health management protocols may represent a promising intervention strategy to enhance childrens oral health outcomes.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.