ObjectiveTo observe the changes in the levels of different subtypes of epidermal growth factor receptor （ErbB）， namely ErbB1， ErbB2， ErbB3， and ErbB4， in the spinal dorsal horn of inflammatory pain model rats， and to explore their mechanism of mediating hyperalgesia as well as the intervention mechanism of electroacupuncture at "Zusanli （ST 36）" and "Kunlun （BL 60）". MethodsThe study was divided into five parts. In experiment 1， 14 Sprague Dawley （SD） rats were randomly divided into control and inflammatory pain group （7 rats each group） to observe the pain behavior and the protein expression of different ErbB receptor subtypes in the spinal dorsal horn. In experiment 2， 30 rats were randomly divided into control group 1， inflammatory pain group 1， and low-， medium-， and high-concentration TX1-85-1 groups， with 6 rats in each group， to observe the effect of inhibiting spinal ErbB3 on inflammatory pain. In experiment 3， 12 rats were randomly divided into control virus group and ErbB3 knockdown virus group， with 6 rats in each group， to observe the effect of knocking down ErbB3 in the spinal dorsal horn on inflammatory pain. In experiment 4， 44 rats were randomly divided into control group 2， inflammatory pain group 2， electroacupuncture group， and sham electroacupuncture group， with 11 rats in each group， to observe the effect of electroacupuncture. In experiment 5， 40 rats were randomly divided into control group 3， inflammatory pain group 3， electroacupuncture group 1， and electroacupuncture + NRG1 group， with 10 rats in each group， to observe the effect of activating ErbB3 on electroacupuncture. A rat model of inflammatory pain was established by subcutaneous injection of 100 μl of complete Freund's adjuvant into the sole of the unilateral hind foot of SD rats. Rats in the low-， medium-， and high-concentration TX1-85-1 groups were intrathecally injected with ErbB3 inhibitor TX1-85-1 on day 5 to day 7 after modeling. Rats in the ErbB3 knockdown virus group were injected with ErbB3 knockdown virus packaged with adenovirus vector-based short hairpin RNA （shRNA） into the spinal dorsal horn in situ 3 weeks before modeling. Rats in each electroacupuncture group received electroacupuncture at bilateral "Zusanli （ST 36）" and "Kunlun （BL 60）" from day 1 to day 7 after modeling， with dense-sparse waves at a frequency of 2 Hz/100 Hz and a current of 0.5-1.5 mA for 30 minutes once a day. Rats in the electroacupuncture + NRG1 group were intrathecally injected with ErbB3 ligand recombinant human neuregulin-1 （NRG1） after electroacupuncture intervention from day 5 to day 7 after modeling. The mechanical withdrawal threshold and thermal withdrawal latency of rats were measured on day 1， 3， 5， and 7 after modeling to evaluate behavior， and Western Blot was used to detect the protein and phosphorylation levels of each ErbB subtype in the spinal dorsal horn. ResultsCompared with the control group， rats in the inflammatory pain group showed decreased mechanical withdrawal threshold and thermal withdrawal latency of rats， and increased expression of phosphorylated ErbB3 （p-ErbB3） protein in the spinal dorsal horn on days 1， 3， 5， and 7 after modeling （P＜0.01）. On day 5 and day 7 after modeling， compared with the inflammatory pain group 1， the mecha-nical withdrawal threshold and thermal withdrawal latency of rats in the medium- and high-concentration TX1-85-1 groups increased， and the expression of p-ErbB3 protein decreased （P＜0.05）. On day 1， 3， 5， and 7 after modeling， compared with the control virus group， the mechanical withdrawal threshold and thermal withdrawal latency of rats in the ErbB3 knockdown virus group increased （P＜0.05）. On day 5 and day 7 after modeling， compared with the inflammatory pain group 2 and the sham electroacupuncture group， the mechanical withdrawal threshold and thermal withdrawal latency of rats in the electroacupuncture group increased， and the expression of p-ErbB3 protein decreased （P＜0.05）. On day 5 and day 7 after modeling， compared with the electroacupuncture + NRG1 group， the mechanical withdrawal threshold and thermal withdrawal latency of rats in the electroacupuncture group 1 increased （P＜0.05）. ConclusionThe p-ErbB3 in the spinal dorsal horn involved in hyperalgesia in rats with inflammatory pain， and electroacupuncture at "Zusanli （ST 36）" and "Kunlun （BL 60）" can alleviate inflammatory pain by inhibiting the expression of p-ErbB3 protein in the spinal dorsal horn of rats.

ObjectiveTo investigate the mechanism of Xiaozhi Qinggan decoction （XQD） in preventing and treating metabolic dysfunction-associated steatotic liver disease （MASLD） by regulating ferroptosis， network pharmacology， in vitro and in vivo experiments. MethodsIn the in vivo experiment， mouse MASLD models were established by high-fat diet （HFD） induction. The model mice were randomly assigned to a positive control group （silybin， 50 mg·kg^-1）， low-， medium- and high-dose XQD groups （4.725， 9.45， 18.9 g·kg^-1）， with a normal control group. After 4 weeks of modeling， mice except the normal group were administered intragastrically for 8 consecutive weeks. Liver function， serum lipid levels， hepatic histopathology， as well as the levels of malondialdehyde （MDA）， superoxide dismutase （SOD）， reduced glutathione （GSH） and oxidized glutathione （GSSG） and Fe²⁺ were detected. The mRNA and protein expression of p53， SLC7A11 and GPX4 were determined by quantitative Real-time quantitative polymerase chain reaction（Real-time PCR） and Western blot. In the network pharmacology analysis， active components and potential targets of XQD for MASLD were screened， followed by functional and pathway enrichment analyses， and molecular docking was performed to verify the target binding activity. In the in vitro experiment， the optimal concentration of XQD-containing serum was screened by cytotoxicity assay. HepG2 cells were transfected with ov-NC or ov-p53 plasmid， and a lipid accumulation model was induced by free fatty acid （FFA， 1.0 mmol·L^-1）. Cells were divided into a normal group， FFA model group， ov-NC+XQD （15%） group and ov-p53+XQD （15%） group. Intracellular Fe²⁺ level and lipid accumulation were evaluated， and the protein expression of p53， SLC7A11 and GPX4 was measured by Western blot. ResultsCompared with the normal group， the model group exhibited markedly elevated body weight， liver weight， liver index， fasting blood glucose， AUC of glucose tolerance test， serum liver function and blood lipid levels at week 12 （P<0.01）. Hepatic steatosis and inflammatory infiltration were observed by pathological staining. Additionally， hepatic levels of MDA， SOD and Fe²⁺ were increased （P<0.01）， while GSH， GSSG and the GSH/GSSG ratio were decreased （P<0.01）. The mRNA and protein expression of hepatic p53 was upregulated （P<0.01）， whereas the expression of SLC7A11 and GPX4 was downregulated （P<0.01）. Compared with the model group， the low- and medium-dose XQD groups showed significantly decreased body weight at week 12 （P<0.05）. The silybin group， together with the medium- and high-dose XQD groups， presented reduced liver weight and liver index （P<0.05）. Fasting blood glucose and the AUC of glucose tolerance test were lowered in all four treatment groups （P<0.05， P<0.01）. Pathological staining revealed alleviated hepatic steatosis and inflammation， accompanied by decreased serum liver function and blood lipid levels （P<0.05， P<0.01）. Moreover， hepatic MDA and SOD levels were markedly reduced， while GSH， GSSG and the GSH/GSSG ratio were significantly elevated （P<0.05， P<0.01）. Hepatic Fe²⁺ level was decreased （P<0.01）. The mRNA and protein expression of hepatic p53 was downregulated， and the expression of SLC7A11 and GPX4 was upregulated （P<0.05， P<0.01）. Network pharmacology analysis identified quercetin， kaempferol， luteolin， tanshinone IIA and isorhamnetin as the core active components of XQD， with p53 serving as the key target. Stable binding was verified between these active components and the p53 protein. The optimal concentration of XQD-containing serum in vitro was determined to be 15%. Compared with the normal group， the model group showed increased intracellular Fe²⁺ and lipid accumulation， significantly upregulated p53 protein expression （P<0.01）， and markedly downregulated SLC7A11 and GPX4 protein expression （P<0.01）. Compared with the model group， the ov-NC group exhibited reduced Fe²⁺ and lipid accumulation， downregulated p53 expression， and upregulated SLC7A11 and GPX4 expression. In the ov-p53 group， p53 expression was upregulated （P<0.01）， while SLC7A11 and GPX4 expression was downregulated （P<0.01）. ConclusionXQD inhibits ferroptosis by downregulating p53 and upregulating SLC7A11 and GPX4， thereby alleviating oxidative stress and lipid peroxidation in hepatocytes and improving MASLD.

AIM: To investigate the correlation of serum leucine-rich α-2 glycoprotein 1(LRG1)and fibroblast growth factor 21(FGF-21)levels with neovascular glaucoma(NVG).METHODS: A total of 110 cases(110 eyes)with NVG admitted to the ophthalmology department from September 2020 to September 2022 were selected as NVG group, with 23 cases of grade II, 44 cases of grade III, and 43 cases of grade IV, while 90 sex and age matched cataract patients(90 eyes)were selected as control group. The levels of LRG1, FGF-21, vascular endothelial growth factor(VEGF), pigment epithelium-derived factor(PEDF), and tumor necrosis factor-α(TNF-α)in serum were detected by ELISA; Pearson correlation analysis was used to analyze the correlation of serum LRG1 and FGF-21 levels with Teich grade, VEGF, PEDF and TNF-α levels.RESULTS: The levels of serum LRG1, FGF-21, VEGF, PEDF and TNF-α in the NVG group were significantly higher than those in the control group(all P<0.01). With the increase of Teich grading, the levels of serum LRG1, FGF-21, VEGF, PEDF and TNF-α in NVG patients significantly increased in turn(all P<0.05). Correlation analysis showed that the levels of LRG1 and FGF-21 in serum of NVG patients were positively correlated with the levels of VEGF, PEDF and TNF-α(all P<0.05).CONCLUSION: The levels of LRG1 and FGF-21 in serum of patients with NVG are obviously increased, which are positively correlated with the levels of VEGF, PEDF and TNF-α, both of which may be related to the development of NVG.

Objective: Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic. Methods: Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC). Results: LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models. Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.

Purpose: This study assessed the performance of the ultrasound-guided attenuation parameter (UGAP) in diagnosing and grading hepatic steatosis in patients with metabolic dysfunctionassociated steatotic liver disease (MASLD). Magnetic resonance imaging proton density fat fraction (MRI-PDFF) served as the reference standard. Methods: Patients with hepatic steatosis were enrolled in this prospective study and underwent UGAP measurements. MRI-PDFF values of ≥5%, ≥15%, and ≥25% were used as references for the diagnosis of steatosis grades ≥S1, ≥S2, and S3, respectively. Spearman correlation coefficients and area under the receiver operating characteristic curves (AUCs) were calculated. Results: Between July 2023 and June 2024, the study included 88 patients (median age, 40 years; interquartile range [IQR], 36 to 46 years), of whom 54.5% (48/88) were men and 45.5% (40/88) were women. Steatosis grades exhibited the following distribution: 22.7% (20/88) had S0, 50.0% (44/88) had S1, 21.6% (19/88) had S2, and 5.7% (5/88) had S3. The success rate for UGAP measurements was 100%. The median UGAP value was 0.74 dB/cm/MHz (IQR, 0.65 to 0.82 dB/ cm/MHz), and UGAP values were positively correlated with MRI-PDFF (r=0.77, P<0.001). The AUCs of UGAP for the diagnoses of ≥S1, ≥S2, and S3 steatosis were 0.91, 0.90, and 0.88, respectively. In the subgroup analysis, 98.4% (60/61) of patients had valid controlled attenuation parameter (CAP) values. UGAP measurements were positively correlated with CAP values (r=0.65, P<0.001). Conclusion Using MRI-PDFF as the reference standard, UGAP demonstrates good diagnostic performance in the detection and grading of hepatic steatosis in patients with MASLD.

Purpose: This study aimed to evaluate the contrast-enhanced ultrasound with Sonazoid (Sonazoid-CEUS) features of hepatocellular carcinoma (HCC) in patients with non-alcoholic fatty liver disease (NAFLD). Methods: In this retrospective study, patients who underwent surgical resection and were histopathologically diagnosed with NAFLD or cirrhosis-related HCC were included. All patients received Sonazoid-CEUS examinations within 1 week prior to hepatic surgery. The enhancement patterns of HCC lesions were evaluated and compared between the two groups according to the current World Federation for Ultrasound in Medicine and Biology guidelines. Multivariate logistic regression analysis was used to assess the correlations between Sonazoid-CEUS enhancement patterns and clinicopathologic characteristics. Results: From March 2022 to April 2023, a total of 151 patients with HCC were included, comprising 72 with NAFLD-related HCC and 79 with hepatitis B virus (HBV) cirrhosis–related HCC. On Sonazoid-CEUS, more than half of the NAFLD-related HCCs exhibited relatively early and mild washout within 60 seconds (54.2%, 39/72), whereas most HBV cirrhosis–related HCCs displayed washout between 60 and 120 seconds (46.8%, 37/79) or after 120 seconds (39.2%, 31/79) (P<0.001). In the patients with NAFLD-related HCC, multivariate analysis revealed that international normalized ratio (odds ratio [OR], 0.002; 95% confidence interval [CI], 0.000 to 0.899; P=0.046) and poor tumor differentiation (OR, 21.930; 95% CI, 1.960 to 245.319; P=0.012) were significantly associated with washout occurring within 60 seconds. Conclusion Characteristic Sonazoid-CEUS features are useful for diagnosing HCC in patients with NAFLD.

Objective: Huntington’s disease (HD) is characterized by motor, cognitive, and neuropsychiatric symptoms. Oculomotor impairments and gait variability have been independently considered as potential markers in HD. However, an integrated analysis of eye movement and gait is lacking. We performed multiple examinations of eye movement and gait variability in HTT mutation carriers, analyzed the consistency between these parameters and clinical severity, and then examined the associations between oculomotor impairments and gait deficits. Methods: We included 7 patients with pre-HD, 30 patients with HD and 30 age-matched controls. We collected demographic data and assessed the Unified Huntington’s Disease Rating Scale (UHDRS) score. Examinations, including saccades, smooth pursuit tests, and optokinetic (OPK) tests, were performed to evaluate eye movement function. The parameters of gait include stride length, walking velocity, step deviation, step length, and gait phase. Results: HD patients have significant impairments in the latency and velocity of saccades, the gain of smooth pursuit, and the gain and slow phase velocities of OPK tests. Only the speed of saccades significantly differed between pre-HD patients and controls. There are significant impairments in stride length, walking velocity, step length, and gait phase in HD patients. The parameters of eye movement and gait variability in HD patients were consistent with the UHDRS scores. There were significant correlations between eye movement and gait parameters. Conclusion Our results show that eye movement and gait are impaired in HD patients and that the speed of saccades is impaired early in pre-HD. Eye movement and gait abnormalities in HD patients are significantly correlated with clinical disease severity.

Background/Aims: The association between caffeine intake and constipation remains inconclusive. This study aims to investigate whether caffeine intake is associated with constipation. Methods: This cross-sectional study included 13 941 adults from the 2005-2010 National Health and Nutrition Examination Survey. The weighted logistic regression analyses were exerted to evaluate the association between caffeine intake and constipation. Besides, stratified analyses and interaction tests were conducted to determine the potential modifying factors. Results: After adjusting for confounders, increased caffeine intake by 100 mg was not associated with constipation, as defined by stool frequency (OR, 1.01; 95% CI, 0.94-1.10) or stool consistency (OR, 1.01; 95% CI, 0.98-1.05). Subgroup analyses showed that cholesterol intake modified the relationship between increased caffeine by 100 mg and stool frequency-defined constipation (P for interaction = 0.037). Each 100 mg increase in caffeine intake was associated with a 20% decreased risk of constipation defined by stool frequency in participants who consumed high cholesterol (OR, 0.80; 95% CI, 0.64-1.00), but no association in the other 2 cholesterol level groups. Furthermore, the association between caffeine intake and stool consistency-defined constipation was not found in different cholesterol groups. Conclusions Caffeine consumption is not associated with stool frequency or consistency-defined constipation. Nevertheless, increased caffeine intake may decrease the risk of constipation (defined by stool frequency) among participants in the high-cholesterol intake group.

Background/Aims: Inaccurate prediction of lymph node metastasis (LNM) may lead to unnecessary surgery following endoscopic resection of T1 colorectal cancer (CRC). We aimed to validate the usefulness of artificial intelligence (AI) models for predicting LNM in patients with T1 CRC. Methods: We analyzed the clinical data, laboratory results, pathological reports, and endoscopic findings of patients who underwent radical surgery for T1 CRC. We developed AI models to predict LNM using four algorithms: regularized logistic regression classifier (RLRC), random forest classifier (RFC), CatBoost classifier (CBC), and the voting classifier (VC). Four histological factors and four endoscopic findings were included to develop AI models. Areas under the receiver operating characteristics curves (AUROCs) were measured to distinguish AI model performance in accordance with the Japanese Society for Cancer of the Colon and Rectum guidelines. Results: Among 1,386 patients with T1 CRC, 173 patients (12.5%) had LNM. The AUROC values of the RLRC, RFC, CBC, and VC models for LNM prediction were significantly higher (0.673, 0.640, 0.679, and 0.677, respectively) than the 0.525 suggested in accordance with the Japanese Society for Cancer of the Colon and Rectum guidelines (vs RLRC, p<0.001; vs RFC, p=0.001; vs CBC, p<0.001; vs VC, p<0.001). The AUROC value was similar between T1 colon versus T1 rectal cancers (0.718 vs 0.615, p=0.700). The AUROC value was also similar between the initial endoscopic resection and initial surgery groups (0.581 vs 0.746, p=0.845). Conclusions AI models trained on the basis of endoscopic findings and pathological features performed well in predicting LNM in patients with T1 CRC regardless of tumor location and initial treatment method.