ObjectiveTo investigate the therapeutic effect and mechanism of Solanum nigrum on hepatic fibrosis induced by carbon tetrachloride （CCl₄） in rats. MethodsSixty SD rats were randomly allocated into blank， model， low-， medium-， and high-dose （0.9， 1.8， 3.6 g·kg^-1， respectively） S. nigrum， and silibinin capsules （18.9 mg·kg^-1） groups. Except the blank group， the other groups were subjected to intraperitoneal injection of 40% CCl₄ solution for the modeling of hepatic fibrosis. After 4 weeks of gavage， blood was collected from the abdominal aorta following intraperitoneal anesthesia. The rats were sacrificed， and the liver was separated. The pathological changes were observed by hematoxylin-eosin staining and Masson staining. The levels of alanine aminotransferase （ALT）， aspartate aminotransferase （AST）， and liver fibrosis indexes ［type Ⅲ procollagen （PCⅢ）， type Ⅳ collagen （Col Ⅳ）， laminin （LN）， and hyaluronic acid （HA）］ in the rat serum were determined. The mRNA and protein levels of B cell lymphoma-2 （Bcl-2）/Bcl-2-associated X protein （Bax）/cysteinyl aspartate-specific proteinase-3 （Caspase-3） pathway-related factors were determined by Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） and Western blot， respectively. ResultsCompared with the blank group， the model group exhibited significant hepatocyte edema， infiltration of inflammatory cells， connective tissue proliferation， and collagen fiber deposition in the liver tissue. Compared with the model group， low-， medium-， and high-dose S. nigrum and silymarin capsules significantly improved the structure of liver cells and alleviated the edema， inflammatory cell infiltration， connective tissue proliferation， and collagen fiber deposition. Compared with those in the blank group， the serum levels of ALT， AST， PCⅢ， Col Ⅳ， LN， and HA were elevated in the model group （P<0.01）. Compared with the model group， the serum levels of ALT， AST， PCⅢ， Col Ⅳ， LN， and HA were reduced in all the treatment groups （P<0.05）. Real-time PCR and Western blot results showed that compared with the blank group， the model group had up-regulated mRNA and protein levels of Bcl-2 and down-regulated mRNA and protein levels of Bax and Caspase-3 （P<0.01）. Compared with the model group， all the treatment groups showed down-regulated mRNA and protein levels of Bcl-2 and up-regulated mRNA and protein levels of Bax and Caspase-3 （P<0.05）， with the high-dose S. nigrum group showing the best therapeutic effect. ConclusionS. nigrum modulates the progression of hepatic fibrosis in rats by regulating apoptosis through the Bcl-2/Bax/caspase-3 pathway.

Objective To investigate the efficacy of early, short-term, low-dose corticosteroid administration for the prevention and treatment of early acute lung injury (EALI) in patients undergoing thoracoscopic lobectomy. Methods A retrospective analysis was conducted on the clinical data of patients who underwent thoracoscopic lobectomy at the Department of Thoracic and Cardiovascular Surgery, Taihe Hospital, Hubei University of Medicine, from January 2019 to January 2022. Patients were divided into an early steroid therapy group and an observation group based on whether they received corticosteroids in the early postoperative period. In the early steroid therapy group, in addition to standard postoperative care, patients received a low-dose intravenous push of methylprednisolone (80-120 mg/d) for 3 consecutive days. In the observation group, patients received standard postoperative care without intravenous corticosteroids for the first 3 days. Chest plain CT scans were performed on postoperative day (POD) 1 and POD 3 or 4 to evaluate lung injury. CT scores and the incidence of postoperative EALI were recorded. Results A total of 521 patients were included (268 males, 253 females; age range: 11-80 years). There were 318 patients in the observation group and 203 in the early steroid therapy group. On POD 1, the incidence of EALI was 16.0% in the observation group and 13.8% in the early steroid therapy group, with no statistical difference (P=0.486). Correspondingly, there was no statistical difference in chest CT scores among EALI-positive patients between the two groups (P=0.927). On POD 3-4, the incidence of EALI was significantly lower in the early steroid therapy group (22.7%) compared to the observation group (33.6%) (P=0.007). Although chest CT scores among EALI-positive patients were lower in the early steroid therapy group, the difference was not statistically significant (P=0.377). The overall incidence of EALI within the first 4 postoperative days was significantly lower in the early steroid therapy group (26.1%) than in the observation group (37.4%) (P=0.007). Radiological progression (defined as new-onset EALI or progression of existing EALI) occurred in 14.8% of the early steroid therapy group, significantly lower than the 28.9% in the observation group (P<0.001). The early steroid therapy group had a shorter postoperative length of stay (P<0.001), while there was no statistical difference in the incidence of poor wound healing between the groups (P=0.762). Conclusion Early postoperative corticosteroid use effectively reduces the incidence of EALI on POD 3-4, lowers the risk of radiological progression, and decreases the overall incidence of postoperative EALI. This is achieved without prolonging the length of stay or increasing the risk of poor wound healing. Therefore, early administration of low-dose corticosteroids is beneficial in suppressing the occurrence and progression of EALI. Its early use is recommended for patients at high risk for postoperative EALI.

Objective To understand the epidemiological characteristics of a clustered outbreak of severe fever with thrombocytopenia syndrome(SFTS)as well as the ecological tick monitoring results for Zibo City, and to provide a scientific basis for formulating prevention and control strategies. Methods A case definition was cited before epidemic investigations were performed. Epidemiological investigations were performed on the index cases and their close contacts. Blood samples were collected from cases and close contacts, and quantitative real-time RT-PCR was used to detect SFTS virus(SFTSV)nucleic acid sequences. A retrospective cohort study was conducted to analyze risk factors and develop prevention and control strategies. Results This clustered outbreak involved two index cases and six close contacts with no deaths. Case A exhibited symptom onset on July 26. SFTS was confirmed on August 2. Case B exhibited symptom onset on August 1, and SFTS was confirmed on August 3. Patient B reported a recent history of tick bites. In both index cases, the incubation period for SFTS was inferred to be 7-12 days. The time interval from symptom onset to clinical diagnosis in the two cases ranged from 2-8 days, with an average period of 5 days. SFTSV nucleic acid test result were positive for both patients, whereas all six close contacts tested negative. All captured ticks tested negative for SFTSV using quantitative real-time RT-PCR. The densities of parasitic and free-living ticks in the emergency monitoring area around the cases were 12.60 and 4.65 ticks/(flag·100 m). In 2024, the average parasitic tick index and free-living tick density index were 4.21 and 2.43 ticks/(flag ·100 m)in Yiyuan County, respectively. Conclusions No evidence of human-to-human transmission was found in the assessed SFTS clusters. The infections were likely acquired through tick bites during fieldwork, and the risk of a subsequent outbreak spreading was low.

BackgroundAdverse childhood experiences （ACEs） are strong predictors of psychopathology across the lifespan， exerting extensive adverse effects on physical and mental health during early development. While ACEs increase the risk of childhood psychopathology， sleep quality and impair cognitive function， the early neurobiological mechanisms mediating ACE-induced cognitive impairment remain unclear. ObjectiveTo explore the association between ACEs exposure and the risk of psychopathology， sleep disorders， and cognitive function， and to examine the mediating role of the putamen volume in the relationship between ACEs and cognitive function from a neurodevelopment perspective. MethodsData were obtained from the Adolescent Brain Cognitive Development （ABCD） study， comprising 10 572 children aged 9 to 10. Participants were categorized into five groups based on the cumulative score of ACEs reported by their parents and the children themselves： no-exposure group （0 types of ACEs）， the one-exposure group， the two-exposure group， the three-exposure group， and the high-risk exposure group （≥ 4 types of ACEs）. Logistic regression analysis was employed to evaluate the association between ACEs and psychopathological symptoms ［T score of the Child Behavior Checklist （CBCL） ≥ 65］. Multiple linear regression analysis was ultilized to analyze the correlations between ACEs and the scores of the Sleep Disturbance Scale for Children （SDSC）， the NIH Toolbox Cognition Battery （NIHTB-CB）， as well as the multiple structures in the cerebral cortex and subcortex. The Bootstrap method was applied to test the mediating effect of the putamen volume between ACEs and neurocognitive function. ResultsAfter adjusting for confounders， ACEs cumulative score was correlated with children's psychopathological symptoms in a dose-response manner. Compared with the no-exposed group， the high-risk exposure group had a 2.08-fold （OR=2.080， 95% CI： 1.401–3.088） increased risk of internalizing problems and a 3.13-fold （OR=3.132， 95% CI： 1.703–5.760） increased risk of externalizing problems， and the risk of conduct problems was 4.68 times that of the no-exposed group （OR=4.681， 95% CI： 2.528–8.669）. ACEs cumulative score positively predicted the total score of SDSC （β=0.080， 95% CI： 0.059–0.102）， with relatively stronger predictive effects on sleep-wake transition disorder （β=0.086， 95% CI： 0.063–0.109） and sleep onset and maintenance disorder （β=0.066， 95% CI： 0.043–0.089）. In terms of neurocognition and brain structure， ACEs cumulative score negatively predicted the overall cognitive composite score （β=-0.025， 95% CI： -0.050–-0.001）， the crystallized cognitive composite score （β=-0.035， 95% CI： -0.060–-0.010）， the volume of the left putamen nucleus （β=-0.025， 95% CI： -0.046– 0.003）， and the volume of the right putamen nucleus （β=-0.023， 95% CI： -0.044– 0.003）. The total putamen volume played a partial mediating role between ACEs and the overall cognitive composite score， the effect value was -0.002 （95% CI： -0.004–-0.001）， accounting for 7.49% of the total effect. ConclusionACEs exposure may increase the risk of psychopathological and sleep disturbances in children and may impair neurocognitive function. Reduced putamen volume may serve a potential neurobiological pathway underlying the impact of ACEs on childhood cognition. ［Funded by National Natural Science Foundation of China-Young Scientists Program （number， 82401763）； Sichuan University West China Hospital Full-time Postdoctoral Research and Development Fund Project （number， 2023HXBH084）］

ObjectiveTo explore the risk factors for liver injury in sepsis， so as to provide a reference for the diagnosis and treatment of sepsis patients with liver injury. MethodsA retrospective analysis was conducted on the clinical data of 402 patients with sepsis. According to the occurrence of acute liver injury during ICU stay， the patients were divided into a sepsis with liver injury group and a sepsis without liver injury group. Univariate analysis was used to screen clinical indicators potentially associated with liver injury， and a multivariate Logistic regression model was then established to identify the independent risk factors for acute liver injury in sepsis patients. ResultsA total of 229 sepsis patients who met the inclusion criteria were enrolled， among whom 110 cases （48.03%） had liver injury， and 52 patients （47.27%） in the liver injury group died. There were statistically significant differences between the two groups in APACHE Ⅱ score， SOFA score， platelet count， lactate level， fibrinogen content， diabetes mellitus， abdominal infection， vasoactive drug therapy， continuous renal replacement therapy， and mechanical ventilation therapy （P<0.05）. Multivariate Logistic regression analysis showed that SOFA score （OR=1.19， 95%CI： 1.06 - 1.33）， diabetes mellitus （OR=3.27， 95%CI： 1.65 - 6.48）， abdominal infection （OR=2.74， 95%CI： 1.33 - 5.62）， and mechanical ventilation therapy （OR=5.24， 95%CI： 1.58 - 17.41） were independent risk factors. ConclusionDiabetes， mellitus， abdominal infection， SOFA score， and mechanical ventilation therapy are independent risk factors for acute liver injury in sepsis patients.

ObjectiveColorectal cancer (CRC) is a highly heterogeneous malignancy, and traditional Chinese medicine (TCM) syndrome differentiation is widely used in its clinical management. However, the biological basis underlying different TCM syndromes remains insufficiently understood. This study aimed to investigate the proteomic differences between qi-blood deficiency syndrome (QBDS) and damp-heat syndrome (DHS) in CRC patients and to establish a “syndrome-differential protein-herbal component” network for exploring potential molecular mechanisms and therapeutic targets associated with syndrome-specific treatment strategies. MethodsTumor tissue samples were collected from 10 patients with pathologically confirmed CRC, including 5 patients diagnosed with QBDS and 5 with DHS according to standardized TCM syndrome differentiation criteria. Tandem mass tag (TMT)-based quantitative proteomics was employed to identify differentially expressed proteins (DEPs) between the two syndrome groups. Functional enrichment analyses, including Gene Ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses, were performed to characterize the biological functions and signaling pathways associated with the identified DEPs. Least absolute shrinkage and selection operator (LASSO) regression analysis was further applied to screen key syndrome-related proteins and construct a core protein prediction model. Subsequently, molecular docking was conducted to evaluate the binding affinities between representative herbal compounds, astragaloside IV and berberine, and the identified core proteins. Finally, cell counting kit-8 (CCK-8) assays were performed in HCT 116 and HT-29 colorectal cancer cell lines to validate the anti-proliferative activities of these compounds in vitro. ResultsA total of 44 DEPs were identified between QBDS and DHS tissues, including 21 upregulated and 23 downregulated proteins in the QBDS group relative to the DHS group. Functional enrichment analyses revealed that these proteins were primarily associated with antiviral immune responses, regulation of inflammatory signaling, NF‑κB signaling pathways, cholesterol metabolism, and other biological processes relevant to tumor progression and host immune regulation. LASSO regression analysis identified eight core proteins with potential syndrome-specific significance. Among them, ST7, GPCPD1, and PODXL were closely associated with QBDS, whereas FAT1, GRB7, KRT7, MAFF, and MMP8 were associated with DHS. Molecular docking demonstrated favorable interactions between astragaloside IV and QBDS-related proteins, with binding energies lower than -5 kcal/mol, indicating stable binding activity. Berberine exhibited even lower binding energies and stronger binding specificity toward DHS-related core proteins. In vitro experiments further confirmed that both compounds inhibited CRC cell proliferation, while berberine displayed significantly greater anti-proliferative efficacy. The lowest 48 h IC₅₀ value of berberine reached 15.21 mg/L in CRC cells, indicating a stronger growth-inhibitory effect than astragaloside IV. ConclusionCRC patients with QBDS and DHS exhibit distinct proteomic characteristics, suggesting that different TCM syndromes possess unique molecular signatures. The identified core proteins may serve as potential biomarkers for syndrome differentiation, while astragaloside IV and berberine may exert therapeutic effects through targeting syndrome-specific molecular networks. These findings provide preliminary proteomic evidence supporting syndrome-guided precision integrative medicine in CRC and offer new insights into the biological basis of TCM syndrome differentiation and individualized therapeutic strategies.

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.

Objective To understand the disease spectrum of a natural village in an area with high incidence of esophageal cancer to provide a reference for precise prevention and control. Methods From 2008 to 2024, 711 asymptomatic people over the age of 35 years in a natural village with high incidence of esophageal cancer in China were surveyed, and 171 of them were subjected to gastroscopy, biopsy, and pathological examination. All participants were followed up for a long time, and their disease history was recorded. Results A total of 16 years of follow-up were performed, and 703 people were effectively followed up. In 2008, 171 people underwent gastroscopy, and 160 people had biopsy and pathological results in endoscopic screening. By 2024, 76 people had been diagnosed with malignant tumors of 12 different types, and among these people, 45 had esophageal cancer. Conclusion Esophageal cancer remains a significant cause of morbidity and mortality from malignant tumors in this region. Biopsy and pathological examination should be strengthened during gastroscopy, and follow-ups and regular check-ups should be given high importance to reduce the incidence and mortality rates of esophageal cancer.

BackgroundGraduate students frequently face life events， many of which may adversely affect their mental well-being. However， the interaction between life events and the development of depression， anxiety， and somatic symptoms remains unclear. ObjectiveTo explore the relationship between life events and the development of depressive， anxiety and somatic symptoms in graduate students， thereby informing prevention strategies for these conditions. MethodsA sample of 6 722 newly enrolled graduate students at a comprehensive university in Southwest China from September to November 2018 was selected. The assessment was conducted using the Adolescent Self-rating Life Events Checklist （ASLEC）， the 7-item Generalized Anxiety Disorder scale-7 item （GAD-7）， the Patient Health Questionnaire Depression Scale-9 item （PHQ-9）， and the Patient Health Questionnaire-15 （PHQ-15）. Network analysis was implemented by using the bootnet and qgraph packages in the R software （version 4.2.3）， with centrality indices calculated to identify core and bridge symptoms within the network. ResultsThe study encompassed a total of 6 171 graduate students， representing 91.80% of the target population. The prevalence rates of anxiety， depressive， and somatic symptoms among graduate students were 12.59% （777/6 171）， 16.63% （1 026/6 171）， and 27.66% （1 707/6 171）， respectively. Network analysis revealed that 'academic stress' was the core symptom with the highest strength and expected influence （both values=1.207）， while 'feeling down， depressed， or hopeless' was the bridge symptom with the highest bridge strength and bridge expected influence （both values=0.454）. There was no significant difference in global network strength and edge weight between women and men （P>0.05）. ConclusionAcademic stress， emerging as the core symptom， assumes a dominant position within the symptom network and exhibits strong interactions with other negative affective states. There was no gender difference in the network structure.

To analyze the distribution of serotypes and antimicrobial resistance of clinical Salmonella isolates from multiple centers across China.