Metabolic dysfunction-associated steatotic liver disease (MASLD) has become the most prevalent chronic liver disease worldwide, affecting approximately 32%-38% of the adult population and posing a growing public health burden. MASLD represents a continuous disease spectrum ranging from simple steatosis to metabolic dysfunction-associated steatohepatitis (MASH), progressive hepatic fibrosis, cirrhosis, and ultimately hepatocellular carcinoma (HCC). The pathological core of MASLD lies in disruption of hepatic lipid metabolic homeostasis, characterized by an imbalance among de novo lipogenesis, fatty acid β-oxidation, and very-low-density lipoprotein (VLDL)-mediated lipid export. This metabolic disequilibrium subsequently drives inflammatory injury and fibrotic progression. Among the multiple regulatory pathways involved, thyroid hormone (TH) signaling has emerged as a central regulator of hepatic metabolic homeostasis. The liver is a major peripheral target organ of TH action, where TH predominantly exerts its metabolic effects through thyroid hormone receptor β (TRβ). Large-scale epidemiological studies and meta-analyses have demonstrated that hypothyroidism is significantly associated with increased MASLD prevalence, more severe histological injury, and advanced hepatic fibrosis, suggesting that dysregulation of TH signaling may participate throughout the entire MASLD disease spectrum. At the molecular level, TH regulates hepatic lipid metabolism by coordinating suppression of lipogenesis, enhancement of mitochondrial fatty acid oxidation, and promotion of VLDL assembly and secretion through integrated genomic actions of the T3-TRβ axis and non-genomic signaling pathways. Across different stages of MASLD, TH signaling exerts stage-dependent protective effects. In the steatosis stage, TH improves metabolic flexibility by modulating insulin sensitivity, glucose metabolism, and lipid droplet clearance, thereby alleviating early lipotoxic stress. During progression to MASH, TH attenuates inflammatory amplification by improving mitochondrial homeostasis, suppressing activation of the NOD-like receptor family pyrin domain containing 3 (NLRP3) inflammasome, and modulating the gut-liver axis microenvironment. In advanced stages, TH signaling influences hepatic stellate cell activation and extracellular matrix deposition, partly through interaction with the transforming growth factor-β (TGF-β)/SMAD pathway, while alterations in intrahepatic TH availability, mediated by dynamic changes in iodothyronine deiodinase 1 (DIO1), contribute to fibrosis progression and hepatocellular dedifferentiation. In hepatocellular carcinoma, coordinated downregulation of TRβ and DIO1 establishes a tumor-associated hypothyroid state that promotes metabolic reprogramming and tumor progression. The clinical relevance of TH signaling in MASLD has been underscored by the recent approval of Resmetirom, a liver-targeted TRβ‑selective agonist, for the treatment of non-cirrhotic MASH with moderate-to-severe fibrosis (F2-F3). This approval represents a landmark transition from mechanistic understanding to metabolism-centered precision therapy in MASLD. Clinical trials have demonstrated that Resmetirom not only improves key histological endpoints, including MASH resolution and fibrosis regression, but also favorably modulates atherogenic lipid profiles, highlighting the therapeutic potential of selectively targeting hepatic TH pathways. This review systematically summarizes the multidimensional regulatory roles of TH across the MASLD disease spectrum and discusses emerging diagnostic and therapeutic implications of TH-based interventions, aiming to inform future mechanistic research and optimize clinical management strategies.

Objective: To reveal the molecular biological mechanism of a rare Dc-variant individual using PacBio third-generation sequencing technology. Methods: ABO and Rh blood type identification, DAT, unexpected antibody screening and D antigen enhancement test were conducted by serological testing. The absorption-elution test was used to detect the e antigen. RHCE gene typing was performed by PCR-SSP, and the 1-10 exons of RHCE were sequenced by Sanger sequencing. The full-length sequences of RHCE, RHD and RHAG were detected by PacBio third-generation sequencing technology. Results: Serological findings: Blood type O, Dc-phenotype, DAT negative, unexpected antibody screening negative; enhanced D antigen expression; no detection of e antigen in the absorption-elution test. PCR-SSP genotyping indicated the presence of only the RHCE c allele. Sanger sequencing results: Exons 5-9 of RHCE were deleted, exon 1 had a heterozygous mutation at c. 48G/C, and exon 2 had five heterozygous mutations at c. 150C/T, c. 178C/A, c. 201A/G, c. 203A/G and c. 307C/T. Third-generation sequencing results: RHCE genotype was RHCE 02N. 08/RHCE-D(5-9)-CE; RHD genotype was RHD 01/RHD 01; RHAG genotype was RHAG 01/RHAG 01 (c. 808G>A and c. 861G>A). Conclusion: This Dc-individual carries the allele RHCE 02N. 08 and the novel allele RHCE-D(5-9)-CE. The findings of this study provide data support and a theoretical basis for elucidating the molecular mechanisms underlying RhCE deficiency phenotypes.

Objective To investigate the clinical feasibility and safety of endoscopic ultrasonography(EUS)combined with modified endoscopic mucosal resection(EMR)in the treatment of rectal neuroendo-crine tumors(RNETs).Methods A total of 48 patients diagnosed with RNETs by colonoscopy in the depart-ment of gastroenterology in this hospital from December 2021 to June 2023 were selected as the study objects.Patients were randomly divided into the study group(EUS combined with modified EMR,n=16),the control 1 group(traditional EMR,n=16)and the control 2 group[endoscopic submucosal dissection(ESD),n=16].The operation time,R0 resection rate and postoperative complications of each group were observed.Endoscop-ic ultrasonography was followed up 3 and 6 months after surgery to determine whether there was any recur-rence.Results The operative time of the study group[(17.813±0.379)min]was significantly shorter than that of the control 2 group[(36.250±3.296)min],the difference was statistically significant(P＜0.05),but compared with the control 1 group[(16.375±1.996)min],there was no significant difference(P＞0.05).The incidence of complications in the study group(6.2％)was significantly lower than that in the control 2 group(37.5％),the difference was statistically significant(P＜0.05).while the incidence of complications in the study group was not significantly higher than that in the control 1 group(12.5％,P＞0.05).R0 removal rate in the study group(93.8％)was significantly higher than that in the control 1 group(62.5％)and the control 2 group(75.0％),the difference was statistically significant(P＜0.05).Conclusion EUS combined with modified EMR has more advantages than EMR and ESD in the treatment of RNETs,and has certain fea-sibility and safety,which is convenient for clinical application.

Computational approaches,encompassing both physics-based and machine learning(ML)methodolo-gies,have gained substantial traction in drug repurposing efforts targeting specific therapeutic entities.The human dopamine(DA)transporter(hDAT)is the primary therapeutic target of numerous psychi-atric medications.However,traditional hDAT-targeting drugs,which interact with the primary binding site,encounter significant limitations,including addictive potential and stimulant effects.In this study,we propose an integrated workflow combining virtual screening based on weighted holistic atom localization and entity shape(WHALES)descriptors with in vitro experimental validation to repurpose novel hDAT-targeting drugs.Initially,WHALES descriptors facilitated a similarity search,employing four benztropine-like atypical inhibitors known to bind hDAT's allosteric site as templates.Consequently,from a compound library of 4,921 marketed and clinically tested drugs,we identified 27 candidate atypical inhibitors.Subsequently,ADMETlab was employed to predict the pharmacokinetic and toxi-cological properties of these candidates,while induced-fit docking(IFD)was performed to estimate their binding affinities.Six compounds were selected for in vitro assessments of neurotransmitter re-uptake inhibitory activities.Among these,three exhibited significant inhibitory potency,with half maximal inhibitory concentration(IC50)values of 0.753 μM,0.542 μM,and 1.210 μM,respectively.Finally,molecular dynamics(MD)simulations and end-point binding free energy analyses were con-ducted to elucidate and confirm the inhibitory mechanisms of the repurposed drugs against hDAT in its inward-open conformation.In conclusion,our study not only identifies promising active compounds as potential atypical inhibitors for novel therapeutic drug development targeting hDAT but also validates the effectiveness of our integrated computational and experimental workflow for drug repurposing.

Objective To investigate the value of the maximum standard uptake value(SUVmax)obtained with orbital SEPCT/CT for evaluating activity of thyroid-associated ophthalmopathy(TAO)and predicting curative efficacy.Methods A total of 96 patients with initially diagnosed TAO were retrospectively collected,including 71 with clinical activity score(CAS)≥3(active group)and 25 with CAS=2(inactive group).Data of orbital SEPCT/CT were collected,and the patients were treated with hormones or immunosuppressants for 3 months.CAS was performed again within 1 week after treatment,and orbital imaging was reviewed.The patients were divided into effective group and ineffective group according to treatment results.Pretreatment(pre)SUVmax(pre-SUVmax)and imaging agent uptake rate(UR)(pre-UR)in extraocular muscle were compared between active and inactive groups.Pre-CAS,post-treatment(post)CAS(post-CAS),as well as pre-SUVmax,post-SUVmax,pre-UR,post-UR and the difference of pre-and post-treatment CAS,SUVmax and UR(△CAS,△UR,△SUVmax)of extraocular muscle were compared between effective group and ineffective group.The correlations of SUVmax,UR and CAS were analyzed.Pre-CAS,pre-SUVmax and pre-UR were included in univariate and multivariate logistic regression analysis to screen the predictors of effective treatment of TAO.Results Pre-SUVmax and pre-UR of extraocular muscle in active group were higher than those in inactive group(both P＜0.05).Among 96 cases,70 were in effective group and 26 were in ineffective group.Pre-CAS,the proportion of pre-CAS≥3 scores,pre-SUVmax,pre-UR,△CAS,△SUVmax and △UR in effective group were all higher than those in ineffective group(all P＜0.05).Pre-SUVmax and pre-UR in extraocular muscle of TAO patients were positively correlated with pre-CAS(rs=0.419,0.395,both P＜0.001),while post-SUVmax and post-UR were positively correlated with post-CAS(rs=0.322,0.221,P=0.001,0.030),△SUVmax and △UR were positively correlated with △CAS(rs=0.368,0.206,P＜0.001,P=0.044).Pre-CAS≥3(OR=2.95)and pre-SUVmax(OR=4.22)were both independent predictors of effective treatment of TAO(both P＜0.05).Conclusion SUVmax obtained with orbital SEPCT/CT could be used to quantitatively assess TAO activity and predict curative efficacy.

Objective:To investigate the relationship between sarcopenic obesity(SO), defined by various obesity indicators, and mortality risk in older adults based on a prospective cohort from multiple nursing homes.Methods:Sarcopenia was diagnosed according to the 2019 consensus of the Asian Working Group for Sarcopenia.Obesity was defined using six different indicators: waist circumference(WC), waist-hip ratio(WHR), waist-height ratio(WHTR), body mass index(BMI), visceral fat area(VFA), and percentage of body fat(PBF).A prospective cohort of adults aged 60 and above was established across 15 nursing homes in Zigong City, with annual follow-ups on survival status conducted over two consecutive years.Cox proportional hazards regression models were employed to analyze the association between SO, defined by different obesity indicators, and mortality risk, calculating hazard ratios( HR)and their 95% confidence intervals( CI). Results:A total of 695 older adults were included in the study, of whom 67.1% were male.During the 2-year follow-up period, 88 participants died.The prevalence of SO as defined by WC, WHR, WHTR, BMI, VFA, PBF was found to be 17.6%, 30.1%, 48.9%, 3.0%, 28.3%, and 58.7%, respectively.When SO was defined using WC, WHR, WHTR, BMI, and VFA, there was no statistically significant difference in mortality rates between the SO and non-SO groups.However, when defined by PBF, the SO group exhibited a significantly higher mortality rate compared to the non-SO group(16.9% vs.6.6%, P<0.01).Cox proportional hazards regression analysis revealed that, compared to the non-SO group, the SO group defined by PBF had a significantly increased mortality risk( HR=2.81, 95% CI: 1.67-4.73, P<0.001).After adjusting for potential confounding factors, the mortality risk for the SO group remained significantly higher than that of the non-SO group( HR=1.97, 95% CI: 1.14-3.38, P=0.015). Conclusions:The prevalence of SO varies significantly across different obesity indicators.SO defined by PBF is significantly associated with mortality risk in nursing home residents.This study provides new evidence for further optimizing the diagnostic criteria for SO in this population.

Objective To explore the relationships between social support,positive coping,caregiver burden and family resilience of primary caregivers of first-stroke patients.Methods A questionnaire survey was conducted among 307 primary caregivers of first-stroke patients in 2 tertiary hospitals in Shanghai by convenience sampling method.Social support rating scale,simplified coping style questionnaire,Zarit caregiver burden interview,and family resilience assessment scale were used for questionnaire survey.Pearson correlation analysis and structural equation models were used for data analysis.Results A total of 288 valid questionnaires were collected,and the effective recovery rate was 93.81％.Pearson correlation analysis showed that there was a positive correlation between family resilience and social support,family resilience and positive coping,and social support and positive coping(r=0.375,0.627,and 0.277;all P＜0.01),while caregiver burden and social support,caregiver burden and positive coping,and family resilience and caregiver burden were all negatively correlated(r=-0.203,-0.343,and-0.444;all P＜0.01).The mediating effect model was constructed with positive coping and caregiver burden as mediating variables,social support as independent variables,and family resilience as dependent variables.The results showed that social support could mediate family resilience through positive coping,with a mediating effect of 0.164,accounting for 26.1％of the total effect;social support could also affect the family resilience of the primary caregivers of first-stroke patients through the partial chain mediating effect of positive coping and caregiver burden,with a mediating effect value of 0.032,accounting for 5.1％of the total effect.Conclusion Social support can predict family resilience among primary caregivers of first-stroke patients,and positive coping and caregiver burden play chain mediating roles in the impact of social support on family resilience.

OBJECTIVE: To investigate the effect of acupuncture on advanced cancer patients by meta-analysis. METHODS: Nine databases (the Cochrane Central Register of Controlled Trials, MEDLINE, Web of Science, Embase, China National Knowledge Infrastructure, the Cumulative Index to Nursing and Allied Health Literature, Chinese Biomedical Literature Database, China Science and Technology Journal Database, and WanFang Data) were searched for randomized controlled trials (RCTs) on acupuncture in advanced cancer patients published from inception to February 13, 2023 and updated to June 1, 2023. Primary outcomes were quality of life (QOL), while secondary outcomes were pain, fatigue, and adverse events (side effects). Data synthesis was performed using RevMan V.5.3 to calculate pooled effect sizes. RoB-2 was used for the risk of bias, and the quality of evidence was assessed using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) tool. RESULTS: Totally 17 RCTs involving 1,178 participants were included, 15 of which were pooled for meta-analysis. Most studies demonstrated some concern for the overall risk of bias. The pooled data indicated that acupuncture was associated with improved QOL [mean difference (MD)=6.67, 95% confidence interval (CI): 5.09 to 8.26], pain (MD=-1.18, 95% CI -2.28 to -0.08), and adverse events (risk ratio=0.30, 95% CI: 0.26 to 0.57) compared with control groups. Fatigue outcome was not included. Heterogeneity was substantial, and GRADE evidence was very low for both QOL and pain. CONCLUSIONS Acupuncture could benefit patients with advanced cancer and is considered safe compared with usual care. However, the evidence regarding QOL and pain outcomes requires further validation. It is crucial to encourage the development of high-quality studies to strengthen this evidence. (Registry No. CRD42023423539).
Humans ; Acupuncture Therapy ; Neoplasms/therapy* ; Quality of Life ; Randomized Controlled Trials as Topic ; Treatment Outcome

OBJECTIVES: Osteoarthritis (OA) and sarcopenia are significant health concerns in the elderly, substantially impacting their daily activities and quality of life. However, the relationship between them remains poorly understood. This study aims to uncover common biomarkers and pathways associated with both OA and sarcopenia. METHODS: Gene expression profiles related to OA and sarcopenia were retrieved from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) between disease and control groups were identified using R software. Common DEGs were extracted via Venn diagram analysis. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted to identify biological processes and pathways associated with shared DEGs. Protein-protein interaction (PPI) networks were constructed, and candidate hub genes were ranked using the maximal clique centrality (MCC) algorithm. Further validation of hub gene expression was performed using 2 independent datasets. Receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive value of key genes for OA and sarcopenia. Mouse models of OA and sarcopenia were established. Hematoxylin-eosin and Safranin O/Fast Green staining were used to validate the OA model. The sarcopenia model was validated via rotarod testing and quadriceps muscle mass measurement. Real-time reverse transcription PCR (real-time RT-PCR) was employed to assess the mRNA expression levels of candidate key genes in both models. Gene set enrichment analysis (GSEA) was conducted to identify pathways associated with the selected shared key genes in both diseases. RESULTS: A total of 89 common DEGs were identified in the gene expression profiles of OA and sarcopenia, including 76 upregulated and 13 downregulated genes. These 89 DEGs were significantly enriched in protein digestion and absorption, the PI3K-Akt signaling pathway, and extracellular matrix-receptor interaction. PPI network analysis and MCC algorithm analysis of the 89 common DEGs identified the top 17 candidate hub genes. Based on the differential expression analysis of these 17 candidate hub genes in the validation datasets, AEBP1 and COL8A2 were ultimately selected as the common key genes for both diseases, both of which showed a significant upregulation trend in the disease groups (all P<0.05). The value of area under the curve (AUC) for AEBP1 and COL8A2 in the OA and sarcopenia datasets were all greater than 0.7, indicating that both genes have potential value in predicting OA and sarcopenia. Real-time RT-PCR results showed that the mRNA expression levels of AEBP1 and COL8A2 were significantly upregulated in the disease groups (all P<0.05), consistent with the results observed in the bioinformatics analysis. GSEA revealed that AEBP1 and COL8A2 were closely related to extracellular matrix-receptor interaction, ribosome, and oxidative phosphorylation in OA and sarcopenia. CONCLUSIONS AEBP1 and COL8A2 have the potential to serve as common biomarkers for OA and sarcopenia. The extracellular matrix-receptor interaction pathway may represent a potential target for the prevention and treatment of both OA and sarcopenia.
Sarcopenia/genetics* ; Osteoarthritis/genetics* ; Computational Biology/methods* ; Humans ; Protein Interaction Maps/genetics* ; Animals ; Mice ; Gene Expression Profiling ; Gene Ontology ; Transcriptome ; Male ; Signal Transduction/genetics* ; Gene Regulatory Networks