The brain-gut interaction theory is a multidimensional integrative concept based on the brain-gut axis， involving neural， endocrine， and immune regulatory networks as well as the gut microbiota. Zang-fu organs （脏腑） theory in traditional Chinese medicine （TCM） shows a high degree of consistency with the brain-gut interaction theory， and the core functions such as the spleen and stomach governing the ascending of the clear and descending of the turbid， the liver governing the free flow of qi， and the heart governing mental and emotional activities are closely associated with the multi-level regulatory mechanisms of the brain-gut axis. TCM therapy can modulate brain-gut interactions through multiple pathways in the treatment of spleen and stomach diseases， including the regulation of gastrointestinal hormone secretion， neurotransmitter levels， the hypothalamic-pituitary-adrenal （HPA） axis， immune homeostasis and inflammatory responses， as well as the gut microecology. However， current basic research on the brain-gut interaction theory in TCM for spleen and stomach diseases still faces several challenges， such as difficulties in integrating TCM spleen-stomach theory with modern pathophysiology， lack of innovation in research concepts， and limitations in research methodologies. It is therefore proposed that multidisciplinary collaboration， multi-omics technologies， and targeted research approaches should be adopted to provide more comprehensive methods for basic research on TCM spleen and stomach diseases， thereby promoting the in-depth development of brain-gut interaction theory.

Background/Aims: Dysregulated cholesterol metabolism is a hallmark of hepatocellular carcinoma (HCC) that drives tumor initiation and progression. However, clinical targeting of cholesterol metabolism has yielded limited benefits due to stringent feedback in tumor cells. Identifying a central mediator capable of restoring cholesterol homeostasis within the cell’s intrinsically fine-tuned regulatory framework is urgently needed. Methods: We integrated a proteomic dataset from patients with cholesterol-dysregulated HCC into a global cholesterol metabolic regulatory network to identify potential therapeutic targets for disrupted cholesterol homeostasis. The prognostic significance of the candidate targets was further validated in an independent cohort through immunohistochemistry. Functional and mechanistic studies were conducted in vitro using HCC cell lines and in vivo using mouse models. The pharmacological efficacy of the candidate agent was evaluated in both subcutaneous and orthotopic HCC mouse models. Results: ER lipid raft-associated 1 (ERLIN1), a pivotal regulator of cholesterol metabolism reprogramming, was identified as an independent favorable prognostic indicator in HCC. ERLIN1 constrains HCC progression both in vitro and in vivo by stabilizing the INSIG1–SCAP–SREBP2 axis and maintaining the metabolic balance of intracellular cholesterol. Under hypoxia, impaired factor-inhibiting hypoxia-1-dependent hydroxylation of ASB11 at asparagine residues 90 and 92 enhances ASB11-mediated ERLIN1 degradation. Pharmacological targeting of this axis using zoledronic acid (ZoA) attenuated HCC progression by weakening the ASB11–ERLIN1 interaction and restoring cholesterol homeostasis. Conclusions ERLIN1 represents a druggable metabolic vulnerability in cholesterol-dysregulated HCC. Targeting the ASB11–ERLIN1 axis with the clinically approved ZoA reestablishes cholesterol homeostasis and offers a promising therapeutic strategy to overcome the current limitations of cholesterol-targeted HCC therapies.

Background: and Purpose This study aimed to investigate the association between residual inflammatory risk (RIR) and vulnerable plaques using high-resolution magnetic resonance imaging (HRMRI) in symptomatic intracranial atherosclerotic stenosis (ICAS). Methods: This retrospective study included 70%–99% symptomatic ICAS patients hospitalized from January 2016 to December 2022. Patients were classified into four groups based on high-sensitivity C-reactive protein (hs-CRP) and low-density lipoprotein cholesterol (LDL-C): residual cholesterol inflammatory risk (RCIR, hs-CRP ≥3 mg/L and LDL-C ≥2.6 mmol/L), RIR (hs-CRP ≥3 mg/L and LDL-C <2.6 mmol/L), residual cholesterol risk (RCR, hs-CRP <3 mg/L and LDL-C ≥2.6 mmol/L), and no residual risk (NRR, hs-CRP <3 mg/L and LDL-C <2.6 mmol/L). Vulnerable plaque features on HRMRI included positive remodeling, diffuse distribution, intraplaque hemorrhage, and strong enhancement. Results: Among 336 included patients, 21, 60, 58, and 197 were assigned to the RCIR, RIR, RCR, and NRR groups, respectively. Patients with RCIR (adjusted odds ratio [aOR], 3.606; 95% confidence interval [CI], 1.346–9.662; P=0.011) and RIR (aOR, 3.361; 95% CI, 1.774–6.368, P<0.001) had higher risks of strong enhancement than those with NRR. Additionally, patients with RCIR (aOR, 2.965; 95% CI, 1.060–8.297; P=0.038) were more likely to have intraplaque hemorrhage compared with those with NRR. In the sensitivity analysis, RCR (aOR, 2.595; 95% CI, 1.201–5.608; P=0.015) exhibited an additional correlation with an increased risk of intraplaque hemorrhage. Conclusion In patients with symptomatic ICAS, RIR is associated with a higher risk of intraplaque hemorrhage and strong enhancement, indicating an increased vulnerability to atherosclerotic plaques.

Background: and Purpose This study aimed to investigate the association between residual inflammatory risk (RIR) and vulnerable plaques using high-resolution magnetic resonance imaging (HRMRI) in symptomatic intracranial atherosclerotic stenosis (ICAS). Methods: This retrospective study included 70%–99% symptomatic ICAS patients hospitalized from January 2016 to December 2022. Patients were classified into four groups based on high-sensitivity C-reactive protein (hs-CRP) and low-density lipoprotein cholesterol (LDL-C): residual cholesterol inflammatory risk (RCIR, hs-CRP ≥3 mg/L and LDL-C ≥2.6 mmol/L), RIR (hs-CRP ≥3 mg/L and LDL-C <2.6 mmol/L), residual cholesterol risk (RCR, hs-CRP <3 mg/L and LDL-C ≥2.6 mmol/L), and no residual risk (NRR, hs-CRP <3 mg/L and LDL-C <2.6 mmol/L). Vulnerable plaque features on HRMRI included positive remodeling, diffuse distribution, intraplaque hemorrhage, and strong enhancement. Results: Among 336 included patients, 21, 60, 58, and 197 were assigned to the RCIR, RIR, RCR, and NRR groups, respectively. Patients with RCIR (adjusted odds ratio [aOR], 3.606; 95% confidence interval [CI], 1.346–9.662; P=0.011) and RIR (aOR, 3.361; 95% CI, 1.774–6.368, P<0.001) had higher risks of strong enhancement than those with NRR. Additionally, patients with RCIR (aOR, 2.965; 95% CI, 1.060–8.297; P=0.038) were more likely to have intraplaque hemorrhage compared with those with NRR. In the sensitivity analysis, RCR (aOR, 2.595; 95% CI, 1.201–5.608; P=0.015) exhibited an additional correlation with an increased risk of intraplaque hemorrhage. Conclusion In patients with symptomatic ICAS, RIR is associated with a higher risk of intraplaque hemorrhage and strong enhancement, indicating an increased vulnerability to atherosclerotic plaques.

Background: and Purpose This study aimed to investigate the association between residual inflammatory risk (RIR) and vulnerable plaques using high-resolution magnetic resonance imaging (HRMRI) in symptomatic intracranial atherosclerotic stenosis (ICAS). Methods: This retrospective study included 70%–99% symptomatic ICAS patients hospitalized from January 2016 to December 2022. Patients were classified into four groups based on high-sensitivity C-reactive protein (hs-CRP) and low-density lipoprotein cholesterol (LDL-C): residual cholesterol inflammatory risk (RCIR, hs-CRP ≥3 mg/L and LDL-C ≥2.6 mmol/L), RIR (hs-CRP ≥3 mg/L and LDL-C <2.6 mmol/L), residual cholesterol risk (RCR, hs-CRP <3 mg/L and LDL-C ≥2.6 mmol/L), and no residual risk (NRR, hs-CRP <3 mg/L and LDL-C <2.6 mmol/L). Vulnerable plaque features on HRMRI included positive remodeling, diffuse distribution, intraplaque hemorrhage, and strong enhancement. Results: Among 336 included patients, 21, 60, 58, and 197 were assigned to the RCIR, RIR, RCR, and NRR groups, respectively. Patients with RCIR (adjusted odds ratio [aOR], 3.606; 95% confidence interval [CI], 1.346–9.662; P=0.011) and RIR (aOR, 3.361; 95% CI, 1.774–6.368, P<0.001) had higher risks of strong enhancement than those with NRR. Additionally, patients with RCIR (aOR, 2.965; 95% CI, 1.060–8.297; P=0.038) were more likely to have intraplaque hemorrhage compared with those with NRR. In the sensitivity analysis, RCR (aOR, 2.595; 95% CI, 1.201–5.608; P=0.015) exhibited an additional correlation with an increased risk of intraplaque hemorrhage. Conclusion In patients with symptomatic ICAS, RIR is associated with a higher risk of intraplaque hemorrhage and strong enhancement, indicating an increased vulnerability to atherosclerotic plaques.

Objective:To identify the risk factors for postoperative sleep disturbance (PSD) in patients undergoing spine surgery.Methods:In this case-control study, patients who underwent spine surgery from December 2023 to June 2024 at Beijing Tiantan Hospital of Capital Medical University, were selected as the subjects of the study. The quality of postoperative sleep was assessed using the Athens Insomnia Scale (AIS). The baseline characteristics and various perioperative indicators of the patients were collected. The patients were divided into PSD group and non-PSD group according to whether they had PSD. The variables with statistically significant differences from the univariate analysis were included in a multivariate logistic regression to identify the risk factors for PSD.Results:The results of the multivariate logistic regression analysis showed that preoperative sleep disturbance (odds ratio [ OR]=2.23, 95% confidence interval [ CI] 1.06-4.72, P=0.036), course of disease > 12 months ( OR=2.20, 95% CI 1.14-4.24, P=0.019) and AIS score > 2 on the night before surgery ( OR=2.06, 95% CI 1.02-4.16, P=0.045) were the independent risk factors for PSD in patients undergoing spine surgery. Conclusions:Preoperative sleep disturbance, course of disease > 12 months and AIS score > 2 on the night before surgery are independent risk factors for PSD in patients undergoing spine surgery.

Purpose To explore the clinical and pathological features,differential diagnosis,treatment methods and prognosis of urachal adenocarcinoma.Methods Nineteen cases of urachal adenocarcinoma were collected and an-alyzed by combining clinical symptoms,auxiliary examinations,histology,immunohistochemical,and genetic testing and 11 cases of bladder adenocarcinomas.Results Among the 19 patients(15 males,4 females;age range:33-75 years,mean:55 years),tumors were located at the dome or anterior wall of the bladder.Histological subtypes includ-ed mucinous adenocarcinoma(6 cases),adenocarcinoma not otherwise specified(4 cases),enteric-type adenocarci-noma(6 cases),adenocarcinoma with focal mucinous differentiation(1 case),adenocarcinoma with signet-ring cell carcinoma(1 case),and metastatic urachal adenocarcinoma(1 case).Immunophenotypic analysis revealed membra-nous positivity for β-catenin,diffuse positivity for CK34βE 12,MUC-2,and CK20,focal CK7 positivity in some cases,and rare GATA-3 positivity.Mutations in p53 were observed,while KRAS,NRAS,BRAF,and PIK3CA mutations were absent.In colorectal adenocarcinomas,CK34βE12 positivity was 40％,nuclear β-catenin positivity was 48％,and MUC-2 expression was approximately 50％.In bladder adenocarcinomas,GATA-3 and MUC-2 positivity rates were 45％and 63.6％,respectively.Conclusion Distinguishing urachal adenocarcinoma from colorectal and primary bladder adenocarcinomas remains challenging.Urachal adenocarcinoma should be suspected in patients with anterior bladder wall or dome lesions,gross hematuria,or mucinuria.No definitive diagnostic markers currently exist for ura-chal adenocarcinoma.Immunophenotypic features such as membranous β-catenin,MUC-2,and CK7 positivity may fa-vor urachal adenocarcinoma over colorectal adenocarcinoma.Additional markers(e.g.,GATA-3,CK20,CK34βE12)aid in differential diagnosis,though individual markers lack specificity.Comprehensive evaluation integrating clinical presentation,imaging,and clinicopathological features is essential for accurate diagnosis.

Objective:To identify the risk factors for postoperative sleep disturbance (PSD) in patients undergoing spine surgery.Methods:In this case-control study, patients who underwent spine surgery from December 2023 to June 2024 at Beijing Tiantan Hospital of Capital Medical University, were selected as the subjects of the study. The quality of postoperative sleep was assessed using the Athens Insomnia Scale (AIS). The baseline characteristics and various perioperative indicators of the patients were collected. The patients were divided into PSD group and non-PSD group according to whether they had PSD. The variables with statistically significant differences from the univariate analysis were included in a multivariate logistic regression to identify the risk factors for PSD.Results:The results of the multivariate logistic regression analysis showed that preoperative sleep disturbance (odds ratio [ OR]=2.23, 95% confidence interval [ CI] 1.06-4.72, P=0.036), course of disease > 12 months ( OR=2.20, 95% CI 1.14-4.24, P=0.019) and AIS score > 2 on the night before surgery ( OR=2.06, 95% CI 1.02-4.16, P=0.045) were the independent risk factors for PSD in patients undergoing spine surgery. Conclusions:Preoperative sleep disturbance, course of disease > 12 months and AIS score > 2 on the night before surgery are independent risk factors for PSD in patients undergoing spine surgery.

Sepsis is defined as a severe organ dysfunction caused by an imbalanced immune response to infection, making it a common life-threatening critical condition in clinical practice. With the rapid advancement of precision and personalized medicine, along with a deeper understanding of the pathophysiology of sepsis, immune dysfunction has increasingly been recognized as a major factor contributing to poor outcomes in sepsis patients. This article discusses the mechanisms of immune dysfunction, methods of immune monitoring, and patient stratification in sepsis, highlighting the importance of achieving immune balance in sepsis treatment. It aims to explore new strategies for immunotherapy in sepsis.

By selecting stable and detectable drug prototypes or metabolites in sewage samples, near real-time detection of disease conditions can be achieved. This study selected oseltamivir carboxylate, the primary metabolite of first-line antiviral oseltamivir, as a biomarker. Based on the concentration of oseltamivir carboxylate in wastewater, the consumption and usage rate of oseltamivir were calculated by reverse engineering. Quarterly sampling was conducted at 46 urban sewage treatment plants in representative 5 cities in the middle and lower reaches of the Yangtze River, from November 2022 to December 2023. The concentration range of oseltamivir acid in sewage samples is 1.270−1 279 ng/L, the daily mass load of oseltamivir per 1 000 inhabitants in the surveyed cities ranged from 9.560 to 544.7 mg/d, and the average utilization rate is 0.06‰−3.63‰. The research results indicate that in March 2023, Wuxi City experienced a spring influenza peak, while Bengbu, Tongling, Suzhou, and Changzhou City experienced a small summer influenza peak in May. In November and December 2023, Wuxi, Changzhou, and Bengbu City experienced a winter influenza peak, the results are consistent with the official statistics of the National Center for Disease Control and Prevention and the National Influenza Center, which reflect the influenza epidemic situation in southern cities. The integration of this methodology with clinical diagnostic rates could provide near real-time data support for future influenza prevention and control strategies.