Objective: To evaluate the diagnostic performance of magnetic resonance spectroscopy (MRS) in discriminating fumarate hydratase-deficient (FH-d) uterine leiomyomas (ULs) from FH-preserved ULs. Materials and Methods: This study consisted of three stages, with independent cohorts recruited for each stage: 1) sample-size estimation was retrospectively performed on UL specimens (diameter ≥3 cm; age, 20–40 years) from our database with immunohistochemistry (IHC) for 2-succinocysteine (2-SC) as the reference, without genetic testing, 2) MRS sequence optimization in confirmed FH germline mutation participants with ultrasound-detected ULs (diameter ≥3 cm), without IHC analysis, and 3) prospective diagnostic test accuracy was evaluated in consecutive participants with ultrasound-detected ULs (diameter ≥3 cm;age, 20–40 years), using IHC for 2-SC for determining the FH status and subsequent genetic testing in those with positive 2-SC results to identify whether FH mutations were germline or somatic in origin. The choline and fumarate peaks in MRS were classified as positive, negative, or technical failure (TF). TFs were analyzed separately and excluded from the primary diagnostic accuracy calculations. T1-, T2-, and diffusion-weighted images were interpreted as hyperintense or hypointense. The enhancement rate and apparent diffusion coefficient were also acquired. Diagnostic performance was compared between MRS and various magnetic resonance imaging (MRI) features. Results: The optimal MRS parameters for the fumarate peak were echo time (TE) = 140 ms and an average of 256. Among the 360 prospective participants, 37 were confirmed to have FH-dULs. MRS showed positive fumarate peaks in 35 of 37 FH-dULs.After excluding six TFs, the positive fumarate peak on MRS showed 94.6% (35/37) sensitivity, 99.7% (316/317) specificity, and 99.2% (351/354) accuracy, all of which were significantly superior to those of other MRI features (P ≤ 0.002). Conclusion A positive fumarate peak on MRS may be a useful imaging biomarker for diagnosing FH-dULs.

Objective To investigate the associations of shear wave elastography (SWE) parameters and AST-to-platelet ratio index (APRI) with Child-Pugh grade in patients with hepatitis B cirrhosis. Methods The clinical data of 103 patients with hepatitis B cirrhosis who underwent SWE and APRI testing between July 2022 and October 2024 were retrospectively analyzed. These patients comprised the observation group. The clinical data of 99 non-cirrhotic patients were retrospectively analyzed and the patients were enrolled as control group. Liver stiffness (LS), spleen stiffness (SS), APRI and Child-Pugh score were compared in the two groups. According to Child-Pugh grading, the 103 cirrhosis patients were divided into three groups: Group A (grade A, 5-6 points, n=35), Group B (grade B, 7-9 points, n=38), and Group C (grade C, 10-15 points, n=30). SWE parameters and APRI were compared among the three groups. Pearson correlation analysis was used to examine the correlations of LS, SS, and APRI with Child-Pugh score. Results SWE parameters, APRI, and Child-Pugh scores were significantly higher in the observation group than in the control group (P<0.05). Among the three cirrhosis groups, SWE parameters and APRI were highest in Group C, followed by Group B, and lowest in Group A (P<0.05). SWE parameters and APRI were significantly positively correlated with Child-Pugh score (P<0.05). Conclusion SWE parameters and APRI are positively correlated with Child-Pugh grade and are useful for assessing the severity of liver cirrhosis.

ObjectiveTo observe the therapeutic effect of Erchentang on depression in obese mice and explore the therapeutic mechanism. MethodsC57BL/6J mice were randomized into the control， model， metformin （0.65 g·kg^-1）， and low-， medium-， and high-dose （3.35， 6.7， and 13.4 g·kg^-1， respectively） Erchentang groups. Gavage was initiated simultaneously with modeling and continued for 28 days. The therapeutic effects of Erchentang were evaluated through behavioral tests， liver and brain indices， liver function， lipid indicators， and histopathological changes in the liver and brain tissue. RNA-seq technology was used to conduct transcriptomic analysis of mouse liver tissue， and differentially expressed genes were screened and subjected to Kyoto Encyclopedia of Genes and Genomes （KEGG） analysis. Key genes were further verified by Western blot and Real-time polymerase chain reaction（Real-time PCR）. ResultsBehavioral tests， liver function， lipid indicators， and histopathological changes in the liver and brain tissue all demonstrated that Erchentang had therapeutic effects on depression in obese mice. KEGG pathway enrichment analysis of transcriptomic data indicated that Erchentang treated depression in obese mice mainly through the peroxisome proliferator-activated receptor （PPAR） signaling pathway. Western blot and Real-time PCR results showed that compared with the model group， the low-， medium-， and high-dose Erchentang groups exhibited downregulated expression of fatty acid-binding protein （FABP） 1 （P<0.01） and upregulated expression of acyl-CoA oxidase （ACOX） 1， PPARα， cholesterol 7α-hydroxylase （CYP7A） 1， and phosphoenolpyruvate carboxy kinase （PCK） 1 （P<0.05） in the liver tissue. ConclusionErchentang exerts therapeutic effects on obesity-associated depression by regulating the PPAR signaling pathway and the expression of related genes FABP1， ACOX1， PPARα， CYP7A1， and PCK1.

Abstract To clarify the service targets, service contents, and safeguard mechanisms of the basic public service program for student vision health management, the study grounded in the current status of child and adolescent myopia prevention and control in China and integrated with the practical experience and innovative practices of Wuhan National Demonstration Area for Student Vision Health Management, takes education as the main thread and schools as the base, consolidating resources from multiple stakeholders including education administrative departments, schools, families, and professional technical service institutions. Centering on four core components—vision health education, monitoring and record keeping, risk prevention and control, and dynamic management, the study constructs a multi tiered basic public service system for vision health management of primary and secondary school students. It further proposes the use of an intelligent management platform and a "three tier color coded early warning" mechanism (red, yellow, blue) to prevent and control student myopia at the source, providing schools with replicable and operable implementation pathways to enhance the level of student vision health management.

ObjectiveTo evaluate the therapeutic effect of Shenji Guben prescription （SJGB） on chronic obstructive pulmonary disease （COPD） in mice and to explore its potential therapeutic mechanism via transcriptomics. MethodsA mouse model of COPD was established by combined exposure to lipopolysaccharide （LPS） and cigarette smoke. C57BL/6J mice were randomly allocated into a control group， a model group， an acetylcysteine （78 mg·kg^-1·d^-1） group， and low- （7.5 g·kg^-1·d^-1）， medium- （15 g·kg^-1·d^-1）， and high-dose （30 g·kg^-1·d^-1） SJGB groups. After 13 weeks of modeling， oral administration was initiated and continued for 28 days. The therapeutic effects of SJGB were assessed based on body weight， lung function， lung tissue pathology， and inflammatory factors in bronchoalveolar lavage fluid （BALF）. Ultra-high performance liquid chromatography-tandem mass spectrometry （UHPLC-MS/MS） was employed to identify the active ingredients in SJGB. Transcriptomic profiling of lung tissue was performed by RNA-seq to identify differentially expressed genes （DEGs）， followed by gene ontology （GO） enrichment analysis， Kyotoencyclopedia of Genes and Genomes （KEGG） enrichment analysis， Gene Set Enrichment Analysis （GSEA）， and protein-protein interaction （PPI） network construction. Key genes were further validated by Western blot and Real‑time polymerase chain reaction （Real-time PCR）. ResultsAfter drug intervention， the final body weights of mice in medium- and high-dose SJGB groups were higher than those in the model group （P<0.05）. Compared with the model group， SJGB groups demonstrated a significant decrease in expiratory time （Te）， along with increases in peak expiratory flow （PEF）， 50% expiratory flow （EF50）， tidal volume （TV）， and expiratory volume （EV） （P<0.05）. High-dose SJGB ameliorated pathological changes in the lung tissue， reduced peribronchial inflammation scores， and decreased mean linear intercept （MLI） （P<0.01）. Compared with the model group， medium- and high-dose SJGB groups showed reductions in interleukin-6 （IL-6） and interleukin-1β （IL-1β） levels （P<0.01）. UHPLC-MS/MS revealed that the five most abundant components in SJGB were （S）-actinidine， ephedrine， pyroglutamic acid， methylephedrine， and coumarin. Transcriptomic analysis revealed 219 DEGs regulated by SJGB， suggesting that the anti-COPD effects of SJGB may be mediated through key genes such as cluster of differentiation 68 （CD68）， integrin subunit alpha X （ITGAX）， and cathepsin S （CTSS）， primarily involved in the lysosomal pathway. Western blot and Real-time PCR results confirmed that SJGB inhibited the expression of CD68， ITGAX， and CTSS compared with the model group （P<0.05）. ConclusionSJGB effectively improved the lung function and attenuated lung tissue inflammation in the mouse model of COPD by modulating the lysosomal pathway and related genes including CD68， ITGAX， and CTSS.

AIM:To investigate the prevalence and associated factors of comorbid myopia and scoliosis among primary and junior school students in Binhu District, Wuxi, China.METHODS:A stratified cluster random sampling method was used to select students from 10 primary and junior schools in Binhu District for visual acuity testing, scoliosis examination, and a questionnaire survey on related factors. The relationship between scoliosis and myopia was detected using univariate analysis. A binary multivariable logistic regression model was applied to analyze the risk factors associated with comorbid myopia and scoliosis.RESULTS: A total of 17 951 students were selected, including 8948(49.85%)boys and 9003(50.15%)girls; 9784(54.50%)primary school students and 8167(45.50%)junior school students. The detection rates of myopia, scoliosis, and comorbidity were 68.30%, 2.95%, and 2.76%, respectively. The comorbidity rate was higher in girls(3.78%)than in boys(1.74%). Junior school students(3.67% in Grade 7-9)had a higher total comorbidity detection rate than primary school students(2.00% in Grade 4-6; all P<0.001). Logistic regression analysis showed that being in Grade 7-9 [odds ratio(OR)=4.43, 95% confidence interval(CI): 2.36-7.85], spending 2-3 h(OR=1.46, 95%CI: 1.02-2.16)or ≥3 h(OR=1.5, 95%CI: 1.21-2.55)on homework or reading after school, engaging in >60 min of moderate-to-vigorous physical activity >6 days per week(OR=1.39, 95%CI: 1.08-1.7), and not adjusting desk and chair height to match the student's height(OR=1.73, 95%CI: 1.2-2.25)were positively associated with comorbidity(all P<0.05).CONCLUSION: The prevalence of comorbid myopia and scoliosis among primary and junior school students in Binhu District of Wuxi is concerning. Reducing the time ofhomework or reading and writing after school and engaging in ≥60 min of moderate-to-vigorous physical activity at least three days per week may help lower the risk of comorbid myopia and scoliosis in this population.

Consciousness, which underpins human perception, cognition, and behavioural responses, has long been a major focus of neuroscience and medicine. Alterations in consciousness occur not only during reversible processes such as sleep and anaesthesia, but also in pathological conditions, including disorders of consciousness (DOC) and brain injury. With recent advances in the synchronized acquisition and analysis of multimodal physiological signals, such as electroencephalography (EEG) and electrocardiography (ECG), the dynamic interactions between the heart and brain have become increasingly apparent. A growing body of evidence indicates that heart-brain interactions are closely associated with the maintenance and transition of consciousness states, offering a novel perspective for elucidating their underlying mechanisms and supporting relevant clinical assessments. Current approaches to heart-brain interaction analysis for consciousness-state assessment can be broadly grouped into three categories: ECG-based methods, EEG-based methods, and heart-brain coupling analysis. These approaches characterize heart-brain interactions during changes in consciousness from the complementary perspectives of autonomic regulation, cortical interoceptive processing, and cross-system information transfer, respectively. Nevertheless, this field remains at an early stage. Most studies have focused on a single experimental context or a fixed analytical method, with insufficient systematic consideration of the applicability and limitations of different approaches. Moreover, the mechanisms underlying the emergence and alteration of consciousness remain incompletely understood. Accordingly, this review examines heart-brain interaction methods employed in recent consciousness-state assessment studies in accordance with progressively deeper analytical perspectives, and systematically evaluates the advantages and limitations of these methods across distinct consciousness-related conditions. Heart rate variability (HRV) is one of the classical ECG-based indices used to investigate heart-brain interactions. It refers to fluctuations in consecutive interbeat intervals over a specified time period and is regarded as a physiological measure of autonomic nervous system regulation that may indirectly reflect the strength of heart-brain interactions. Depending on the analytical dimension, HRV analysis is commonly divided into time-domain, frequency-domain, and complexity-index analyses. These approaches characterize autonomic activity in terms of temporal fluctuations, the distribution of frequency components, and nonlinear dynamical properties, respectively. Although extensive research supports their physiological interpretation, they cannot characterize directional interactions from the heart to the brain. Among EEG-based methods for heart-brain interaction analysis, EEG activity directly related to cardiac fluctuations has received particular attention. One of the most widely used measures is the heartbeat-evoked potential (HEP). HEP-based approaches are considered to directly reflect the capacity of the cerebral cortex to process cardiac afferent signals and may be especially advantageous for characterizing rapidly changing consciousness levels, such as those observed during sleep. However, they do not comprehensively capture dynamic bidirectional information exchange between the brain and heart and are susceptible to cardiac artefacts, respiration, and variation in preprocessing procedures. Heart-brain coupling analysis quantifies functional associations between ECG and EEG through cross-system interaction measures, thereby assessing dynamic interactions between the heart and brain. It emphasizes information transfer, feedback regulation, and cross-timescale coordination between the two systems, offering a more comprehensive perspective for investigating changes in consciousness during sleep, anaesthesia, and DOC. However, the neurophysiological mechanisms and physiological interpretation of individual computational indices have not yet been fully established, and the robustness of their results and their potential for clinical generalization require further validation. Finally, this review summarizes the commonalities and differences among the three classes of methods across research domains involving different consciousness states. It further argues that heart-brain interaction research requires deeper investigation at both the mechanistic level of consciousness and the level of clinical application. Current challenges and key issues are identified, and future directions and feasible pathways for heart-brain interaction research are discussed, with the aim of providing new perspectives for researchers in related fields.

This study aims to describe the population and regional distribution characteristics of smoking behavior among adult twins in the China Twin Registry (CNTR), as well as the concordance rates for smoking behavior in monozygotic and dizygotic twins, and estimate the heritability. The study population included adult twins in CNTR who had smoking questionnaire data. A random-effects regression model was used to describe the distribution of smoking behavior among different subgroups based on various characteristics. The concordance of smoking behavior between different zygosity groups was calculated, and heritability was estimated. A total of 28 444 twin pairs were included in this study, with an average age of (36.6±12.0) years. Among male twins, 41.2% were current smokers, while only 1.2% of females smoked. Higher smoking rates were observed among male smokers in the 50-59 age group ( z=23.0, P<0.001), northern regions ( z=2.9, P<0.01), rural areas ( z=-5.2, P<0.001), those who were divorced/widowed ( z=3.8, P<0.001), and first-born twins ( z=-4.3, P<0.001), while lower smoking rates were found in those with higher education ( z=-16.1, P<0.001) and unmarried individuals ( z=-16.0, P<0.001). The smoking concordance rate for male monozygotic twins was 69.6%, significantly higher than the 57.3% concordance rate for dizygotic twins ( χ 2=105.0, P<0.05). The heritability of smoking behavior in male twins was estimated at 28.9% (95% CI: 24.3%-33.4%). Stratified analyses showed differences in heritability across regions and age groups: the heritability in northern regions was 32.6% (95% CI: 27.3%-38.0%), higher than the 21.0% (95% CI: 12.4%-29.5%) observed in southern regions; the highest heritability of 35.1% (95% CI: 26.3%-43.9%) was found in the 18-29 age group, with heritability decreasing with age. In conclusion, the smoking rate and influencing factors in the twin population are similar to those in the general population, with unique characteristics, such as higher smoking rates in first-born twins. Genetic factors have a significant impact on smoking behavior.

Objective:To summarize the clinical characteristics of elderly patients with stage Ⅰ diffuse large B-cell lymphoma (DLBCL) and analyze the factors associated with prognosis.Methods:A case series study was conducted by retrospectively collecting clinical data from patients aged over 60 years with newly diagnosed stage Ⅰ DLBCL across 20 medical centers in Jiangsu Province, China, between June 2010 and April 2023. The involved site, classification and treatment plan were summarized. The primary endpoints were progression-free survival (PFS) and overall survival (OS). Statistical analyses were performed using the Kaplan-Meier method, and Cox regression model.Results:The study included 255 patients with a median age of 69 years, of whom 130 (51.0%) were male, 66 (25.9%) were aged ≥75 years and 26 (10.1%) had a high Charlson Comorbidity Index (CCI) score of ≥2. Extranodal involvement was observed in 163 (63.9%) patients, with the stomach (37.4%, 61/163), intestine (19.0%, 31/163), testes (11.0%, 18/163), and breast (7.4%, 12/163) being the most frequently affected sites. The non-germinal center B-cell (non-GCB) subtype was prevalent in 63.7% of patients (142/223), with no significant difference between the nodal and extranodal groups ( P=0.681). Furthermore, 73.9% (184/249) and 11.7% (29/249) of patients received the R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, prednisone) and R-miniCHOP regimen, respectively. The overall 3-year PFS rate was 81.5%, and the 3-year OS rate was 85.6%. Patients aged ≥75 years ( HR=2.910, 95% CI 1.565-5.408, P=0.001) and/or with a CCI score ≥2 ( HR=2.324, 95% CI 1.141-4.732, P=0.020) had a significantly poorer PFS. Incorporating age ≥75 years and CCI score ≥2 into the stage-modified international prognostic index (sm-IPI) can better stratify the prognosis of elderly patients with stage Ⅰ DLBCL. The 3-year PFS rate was 48.7% in the high-risk group versus 85.7% in the low-risk group ( P<0.001). Conclusions:Our findings show that the elderly patients with stage Ⅰ DLBCL were predominantly characterized by extranodal involvement (particularly in the stomach and intestinal tract) and non-GCB subtype. Age ≥75 years and CCI ≥2 were identified as independent prognostic factors. The newly established sm-IPI-75-CCI incorporating these factors demonstrated superior prognostic discrimination compared to conventional risk assessment systems.

Objective:To investigate the relationship between the quick sequential organ failure assessment (qSOFA) score, procalcitonin (PCT), blood lactate, hypersensitive C-reactive protein (hs-CRP) levels, and the prognosis of patients with severe acute pancreatitis (SAP).Methods:This retrospective analysis included 225 pancreatitis cases admitted to the Department of Gastroenterology at Ganzi Tibetan Autonomous Prefecture People's Hospital between February 2020 and February 2025. Patients were categorized into three groups based on severity: SAP group ( n=125), moderately severe acute pancreatitis (MSAP) group ( n=50), and mild acute pancreatitis (MAP) group ( n=50). General patient data, qSOFA scores, PCT, lactate, and hs-CRP levels were compared among the groups. Within the SAP group, patients were further divided into a favorable prognosis group ( n=101) and a poor prognosis group ( n=24) based on 28-day survival. The relationship between qSOFA score, PCT, lactate, hs-CRP, and SAP prognosis was analyzed. Normally distributed continuous data were expressed as Mean±SD. Independent samples t-test was used on comparison between two groups, while one-way ANOVA was used on comparison among multiple groups. LSD test was used on post-hoc pairwise comparison. Categorical data were expressed as n(%) and compared by χ2 test. Spearman correlation analysis assessed the correlation between qSOFA score, PCT, lactate, hs-CRP levels, and acute pancreatitis (AP) severity. Multivariable logistic regression modeling was used for joint prediction, incorporating qSOFA score, serum PCT, lactate, and hs-CRP levels to calculate combined predictive efficacy. The predictive performance of each indicator for prognosis was evaluated using receiver operating characteristic (ROC) curves. The areas under the ROC curves (AUC) were compared using DeLong's test. Results:Significant differences were observed among the MAP, MSAP, and SAP groups for qSOFA score [(0.63±0.29), (1.32±0.37), (1.70±0.33) points], serum PCT [(4.06±0.74), (5.35±0.89), (6.12±0.98) μg/L], lactate [(1.74±0.32), (2.77±0.70), (4.29±1.06) mmol/L], and hs-CRP levels [(15.38±3.75), (27.64±5.09), (35.26±6.42) mg/L] ( F values=187.51, 91.83, 169.18, 223.92, respectively, all P<0.001). The SAP group had significantly higher levels of qSOFA score, serum PCT, lactate, and hs-CRP compared to both the MAP and MSAP groups (all P<0.05), and the MSAP group levels were significantly higher than the MAP group (all P<0.05). The poor prognosis group had significantly higher levels of qSOFA score [(1.92±0.19) points], PCT [(6.65±0.47) μg/L], lactate [(5.14±0.62) mmol/L], and hs-CRP [(40.65±4.73) mg/L] compared to the favorable prognosis group [(1.65±0.25) points, (5.99±0.84) μg/L, (4.09±0.94) mmol/L, (34.16±6.09) mg/L] ( t values=4.96, 3.71, 5.20, 4.88, respectively, all P<0.001). Multivariate logistic regression analysis identified qSOFA score ( OR=14.658, 95% CI: 2.612-82.253), PCT ( OR=2.809, 95% CI: 1.288-6.129), lactate ( OR=3.658, 95% CI: 1.635-8.187), and hs-CRP ( OR=1.168, 95% CI: 1.055-1.293) as independent influencing factors for SAP patient prognosis ( P=0.002, 0.010, 0.002, 0.003, respectively). ROC curve analysis showed that the AUCs for qSOFA score, PCT, lactate, and hs-CRP in predicting poor prognosis in SAP patients were 0.754, 0.856, 0.766, and 0.809, with sensitivities of 87.50%, 83.33%, 83.33%, 85.50%, and specificities of 60.40%, 77.20%, 64.40%, 75.20%, respectively. The combined prediction model yielded an AUC of 0.934, with a sensitivity of 95.80% and specificity of 72.30%. Conclusion:The qSOFA score, PCT, blood lactate, and hs-CRP levels are associated with the severity of AP and possess reference value for predicting the prognosis of SAP patients.