The thyroid gland is the largest endocrine organ in the human body， and its dysfunction can cause varying degrees of liver injury， leading to liver failure in severe cases. Patients with hyperthyroidism have a relatively high incidence rate of liver dysfunction， manifesting as hepatocellular injury or cholestatic liver injury， while hypothyroidism is closely associated with metabolic dysfunction-associated fatty liver disease. Autoimmune thyroid diseases， including Hashimoto’s thyroiditis and subacute thyroiditis， are commonly comorbid with autoimmune liver disease. In addition， medications such as antithyroid drugs， amiodarone， and immune checkpoint inhibitors can cause severe liver injury through direct toxicity or immune-mediated mechanisms. Although significant progress has been achieved in related diagnosis and treatment techniques in recent years， there are still many challenges in pathogenesis， individualized treatment strategies， early warning， and prognostic evaluation. This article systematically reviews the research advances in liver injury associated with thyroid dysfunction and proposes the directions for future research， in order to provide guidance for clinical diagnosis and treatment.

Based on the interactive ritual chain theory， this paper deeply analyzed the interactive characteristics between doctors， patients， and their families in the palliative care environment， as well as explored the role of emotional resonance， symbolic representation， and situational creation in psychological support. It also sorted out four primary issues currently present in psychological support for palliative care patients， including insufficient recognition of caregivers regarding patients’ psychological needs， limited psychological intervention methods， inadequate psychological support capabilities among medical staff， and an imperfect family and social support system. On this basis， a five-dimensional psychological support mechanism was constructed， encompassing emotional resonance， situational creation， team collaboration， environment building， and technological application. This aimed to provide palliative care patients with comprehensive and continuous psychological intervention by optimizing doctor-patient interaction， strengthening emotional connection， improving physical environment， and utilizing information technology， thereby contributing to alleviating the psychological distress patients confront in the terminal stage and improving their life dignity and quality of life.

ObjectiveTo investigate the molecular mechanisms by which Wenyang Jiedu granules （WYJD） alleviate influenza A virus （IAV）-induced pneumonia based on single-cell transcriptome sequencing. MethodsThirty female BALB/c mice were randomly divided into a blank control group （Control）， IAV group， and WYJD low-， medium-， and high-dose groups （WYJD-L， WYJD-M， WYJD-H； 2.925， 5.85， 11.7 g·kg^-1， n=6）. Except for the Control group， all other groups were intranasally inoculated with IAV subtype H1N1 （A/PR/8/34） to establish an infection model. Two hours after modeling， drug administration was initiated and continued for 5 consecutive days， with daily monitoring of body weight and general condition. On day 6， mice were sacrificed and samples were collected. Lung index was calculated， and histopathological examination of lung tissue was performed. Lung tissues from the Control， IAV， and WYJD-H groups were subjected to single-cell transcriptome sequencing （n=3）， focusing on type I alveolar epithelial cells （AT1） to analyze changes in gene expression and signaling pathways. Western blot was used to detect the expression changes of relevant proteins to validate the single-cell sequencing results. ResultsCompared with the Control group， the IAV group exhibited significantly decreased body weight （P<0.05） and significantly increased lung index （P<0.05）. Compared with the IAV group， all WYJD-treated groups exhibited significantly increased body weight （P<0.01） and significantly decreased lung index （P<0.01）. Single-cell sequencing analysis revealed that WYJD inhibited overactivation of interferon and inflammatory signaling pathways in AT1 cells after IAV infection， including interferon-γ response， interferon-α response， tumor necrosis factor-α/nuclear factor-κB （TNF-α/NF-κB）， and interleukin-6/Janus kinase/signal transducer and activator of transcription 3 （IL-6/JAK/STAT3） pathways. Compared with the Control group， the number of AT1 cells in the IAV group showed a decreasing trend. Compared with the IAV group， the WYJD-H group showed an increasing trend， although neither difference was statistically significant. Further analysis of AT1 cell subpopulation gene expression showed that， compared with the Control group， the IAV group exhibited increased expression of pro-apoptotic genes FAS cell surface death receptor （FAS） and cyclin-dependent kinase inhibitor 1A （CDKN1A）， a significant increase in tumor protein p53 （Tp53） expression （P<0.05）， and significant decreases in expression of the AT1 marker gene advanced glycosylation end-product-specific receptor （AGER） and membrane structural gene caveolin1 （CAV1） （P<0.05， P<0.01）. Compared with the IAV group， the WYJD-H group showed significantly decreased expression of FAS， CDKN1A， and Tp53 （P<0.05， P<0.01）， and significantly increased expression of AGER and CAV1 （P<0.05， P<0.01）. Regarding interferon response-related genes， compared with the Control group， the IAV group showed increased expression of interferon-stimulated gene 15 （ISG15）， interferon-induced protein with tetratricopeptide repeats 3 （IFIT3）， signal transducer and activator of transcription 2 （STAT2）， bone marrow stromal cell antigen 2 （BST2）， and C-X-C motif chemokine ligand 10 （CXCL10）， with a significant increase in 2′，5′-oligoadenylate synthetase-like protein 1 （OASL1） （P<0.05）. Compared with the IAV group， the WYJD-H group showed significantly decreased expression of all the above genes， with highly significant differences for ISG15， IFIT3， STAT2， BST2， and OASL1 （P<0.01）， and a significant difference for CXCL10 （P<0.05）. Among inflammation-related genes， compared with the Control group， the IAV group showed significantly increased expression of intercellular adhesion molecule 1 （ICAM1）， tumor necrosis factor alpha-induced protein 3 （TNFAIP3）， keratin 8 （KRT8）， tumor necrosis factor receptor superfamily member 1A （TNFRSF1A）， and TNFRSF1B （P<0.01）， and increased expression of NFKBIA， a negative regulator of NF-κB （P<0.05）. Compared with the IAV group， the WYJD-H group showed significantly decreased expression of KRT8 and TNFRSF1B （P<0.05）， while ICAM1， NFKBIA， TNFAIP3， and TNFRSF1A showed decreasing trends without statistical significance. Western blot validation showed that， compared with the Control group， protein expression levels of ISG15， FAS， p53， and phosphorylated p65 （p-p65） in lung tissue of the IAV group were significantly increased （P<0.05， P<0.01）. Compared with the IAV group， the WYJD-H group showed significantly decreased expression of these proteins （P<0.05， P<0.01）. ConclusionWYJD may alleviate viral pneumonia by targeting gene expression in AT1 cells， inhibiting overactivated interferon and inflammatory signaling pathways after IAV infection， and downregulating pro-apoptotic signaling， thereby reducing alveolar epithelial injury.

Objective: To explore the influencing factors and pathways of suicidal ideation among children and adolescents with severe autism spectrum disorder (ASD), so as to provide references for clarifying the impact intensity and pathways of various factors on suicidal ideation in the population. Methods: A cross sectional study was conducted from June 17, 2024, to January 12, 2025, involving 96 severely affected ASD children and adolescents aged 8-18 years from Tianjin. Participants were assessed using the Puberty Development Scale (PDS), Children s Alexithymia Measure (CAM), Strengths and Difficulties Questionnaire (SDQ), and Positive and Negative Suicide Ideation (PANSI). The random forest Boruta algorithm was employed to screen core variables, and a Bayesian network model was constructed to analyze the influencing factors of suicidal ideation in children and adolescents with severe ASD. Results: Through the screening using the Boruta algorithm, the SDQ scale score, conduct problems, hyperactivity, peer relationship problems and prosocial behavior were identified as the key predictors of suicidal ideation. A Bayesian network model was established with hyperactivity as the central mediating node. The impact of hyperactivity on suicidal ideation exhibited a non linear relationship: compared to the normal state (31.6%, 68.4%), the borderline state of hyperactivity was associated with a higher probability of low risk suicidal ideation (47.1%) and a lower probability of high risk suicidal ideation (52.9%). Suicidal ideation among children and adolescents with severe ASD was closely related to hyperactivity. In the state of hyperactivity, the abnormal peer relationship (95.2%) and the abnormal prosocial behavior (77.0%) were aggravated. Conclusions Suicide ideation among children and adolescents with severe ASD is strongly associated with hyperactivity traits. It is necessary to establish a prevention and control system centered on hyperactivity intervention to reduce this risk.

AIM:To investigate whether casein kinase 2(CK2)/calmodulin(CaM)/small-conductance Ca2+-activated K+channel type 2(SK2)signaling pathway mediates autophagy-induced sympathoexcitation in the paraventricu-lar nucleus(PVN)of rats with chronic heart failure(CHF).METHODS:We randomly divided 180 Wistar rats,aged 6 to 8 weeks,into 10 groups:sham+dimethyl sulfoxide(DMSO),sham+artificial cerebrospinal(aCSF),CHF+DMSO,CHF+aCSF,CHF+rapamycin(RAPA),CHF+3-methyladenine(3-MA),CHF+5,6-dichlorobenzimidazole riboside(DRB),CHF+calmidazolium chloride(CMDZ),CHF+N-cyclohexyl-N-[2-(3,5-dimethyl-1H-pyrazol-1-yl)-6-methyl-pyrimidin-4-yl]-amine(CyPPA),and CHF+apamin groups.We measured cardiac function,hemodynamic parameters,anatomic indicators,and sympathetic drive indicators(n=18).Western blot was used to examine the protein levels of mi-crotubule-associated protein 1 light chain 3-II(LC3-II)/LC3-I,beclin-1,P62,CK2α,SK2,and phosphorylated CaM.The number of SK2-positive neurons was measured using immunofluorescence staining.The NG108 cells were randomly divided into 6 groups:DMSO,aCSF,RAPA,3-MA,RAPA+DRB,and RAPA+CMDZ groups.Radioisotope 32P-ATP pro-tein kinase activity assays were used to detect CK2 activity in cultured NG108 cells.We used Western blot to examine the protein levels of CK2α,SK2,and phosphorylated CaM.RESULTS:Compared with CHF rats treated with vehicle,CHF rats treated with RAPA or apamin exhibited increased sympathetic drive indicators,but decreased left ventricular ejection fraction and fractional shortening(P<0.01).However,CHF symptoms,including sympathoexcitation,were attenuated by 3-MA,DRB,CMDZ or CyPPA infusion into the PVN(P<0.01).In CHF rats,RAPA infusion into the PVN induced CK2 activity,up-regulated LC3-II/LC3-I,beclin-1,CK2α,and phosphorylated CaM levels,but down-regulated P62 and SK2 expression,as well as the number of SK2-positive neurons(P<0.05 or P<0.01).In CHF rats,infusion of 3-MA or DRB into the PVN decreased CK2 activity,and down-regulated phosphorylated CaM level(P<0.01).Infusion of 3-MA,DRB or CMDZ into the PVN up-regulated SK2 expression and the number of SK2-positive neurons(P<0.01).In cultured NG108 cells,RAPA induced CK2 activation and up-regulated the expression of CK2α and the phosphorylation of CaM,but down-regulated SK2 expression(P<0.01).Treatment with RAPA increased the level of phosphorylated CaM and down-regulated SK2 expression in cultured NG108 cells(P<0.01),which was inhibited by DRB and CMDZ(P<0.05 or P<0.01).CONCLUSION:In rats with CHF,the CK2/CaM/SK2 signaling pathway in the PVN contributes to autophagy-induced sympathoexcitation.

Objective To investigate the effect of progressive muscle relaxation training intervention strategy in relieving fatigue of elderly patients with primary hepatocellular carcinoma(HCC)after receiving transcatheter arterial chemoembolization(T ACE),and to analyze its influencing factors.Methods Using convenience sampling method,a total of 150 elderly patients with HCC,who received TACE at a certain grade Ⅲ-A hospital at Peking of China from May 2021 to March 2023,were selected as the subjects of research.The patients were randomly divided into the study group and the control group,and progressive muscle relaxation training intervention strategy and conventional postoperative fatigue care method were employed respectively.The preoperative fatigue status and the postoperative fatigue recovery status were compared between the two groups,and the influencing factors were analyzed.Results In both groups,the postoperative one-day fatigue score was the highest,which was gradually decreased thereafter.The average recovery time of fatigue in the control group was 9.84 days,which in the study group was 6.16 days,the difference between the two groups was statistically significant(P=0.013).The body mass index(BMI),Child-Pugh classification,and preoperative grip strength index had an effect on the postoperative fatigue recovery time after intervention.A BMI of β=-0.953 and a preoperative grip strength index of β=-0.185 were negatively correlated with the postoperative fatigue recovery time after intervention,while a Child-Pugh classification of β=2.177 was positively correlated with the postoperative fatigue recovery time after intervention.Conclusion Progressive muscle relaxation training intervention strategy is helpful for shortening the postoperative fatigue recovery time in elderly patients with HCC after receiving TACE,and it is worth of promotion in clinical practice.The patient's nutrition and physical status such as BMI,hepatic reserve function and grip strength index,are the factors influencing the effectiveness of progressive muscle relaxation training intervention strategy.

OBJECTIVES: To investigate the ethnic origin of Chuanqing people, one of the largest unidentified ethnic groups in Guizhou, China, and analyze its genetic relationships with surrounding populations. METHODS: Based on a self-developed microhaplotype system, we conducted genotyping and analyzed the genetic distribution of microhaplotype loci and their forensic applicability in Chuanqing population in Guizhou Province. Using the microhaplotype data from different intercontinental populations and previously reported data from Han population living in Guizhou Province, we systematically investigated the genetic background of Chuanqing people through population genetic approaches, including genetic distance estimation, principal component analysis, and phylogenetic tree construction. RESULTS: Among the studied population, the number of haplotype per microhaplotype ranged from 6 to 25. The average expected heterozygosity (He), observed heterozygosity (Ho), power of discrimination (PD), and probability of exclusion (PE) were 0.8291, 0.8301, 0.9387, and 0.6593, respectively. The cumulative power of discrimination (CPD) and cumulative probability of exclusion (CPE) for these 33 loci were 1-2.62×10^-41 and 1-7.64×10^-17, respectively. Population genetic analyses revealed that the Chuanqing population had close genetic relationships with the East Asian populations, especially the local Guizhou Han population, Beijing Han population and the Han populations living in southern China. CONCLUSIONS The 33 microhaplotypes exhibit high levels of genetic diversity in the Guizhou Chuanqing population, highlighting their potentials for both forensic identification and parentage testing. The Han populations might have contributed a significant amount of genetic material to the Chuanqing population during the formation and development of the latter.
Humans ; China/ethnology* ; Ethnicity/genetics* ; Forensic Genetics/methods* ; Genetics, Population ; Genotype ; Haplotypes ; Phylogeny ; East Asian People/genetics*

Traditional Chinese medicine (TCM) represents a paradigmatic approach to personalized medicine, developed through the systematic accumulation and refinement of clinical empirical data over more than 2000 years, and now encompasses large-scale electronic medical records (EMR) and experimental molecular data. Artificial intelligence (AI) has demonstrated its utility in medicine through the development of various expert systems (e.g., MYCIN) since the 1970s. With the emergence of deep learning and large language models (LLMs), AI's potential in medicine shows considerable promise. Consequently, the integration of AI and TCM from both clinical and scientific perspectives presents a fundamental and promising research direction. This survey provides an insightful overview of TCM AI research, summarizing related research tasks from three perspectives: systems-level biological mechanism elucidation, real-world clinical evidence inference, and personalized clinical decision support. The review highlights representative AI methodologies alongside their applications in both TCM scientific inquiry and clinical practice. To critically assess the current state of the field, this work identifies major challenges and opportunities that constrain the development of robust research capabilities-particularly in the mechanistic understanding of TCM syndromes and herbal formulations, novel drug discovery, and the delivery of high-quality, patient-centered clinical care. The findings underscore that future advancements in AI-driven TCM research will rely on the development of high-quality, large-scale data repositories; the construction of comprehensive and domain-specific knowledge graphs (KGs); deeper insights into the biological mechanisms underpinning clinical efficacy; rigorous causal inference frameworks; and intelligent, personalized decision support systems.
Medicine, Chinese Traditional/methods* ; Artificial Intelligence ; Humans ; Precision Medicine ; Decision Support Systems, Clinical

Objective Analysis of the effects of relaxation training combined with exercise intervention in patients with colorectal cancer undergoing chemotherapy,aiming to provide reference for clinical nursing practice.Methods Using a convenience sampling method,80 colorectal cancer patients undergoing chemotherapy in the oncology ward of a tertiary A hospital in Changzhou,Jiangsu Province from November 2022 to November 2023 were selected as study subjects.Patients were divided into an experimental group and a control group using a random number table method,with 40 patients in each group.The experimental group received relaxation training combined with exercise interventionin addition to routine care provided to the control group.The control group received routine care.Differences in 6-minute walking distance,anxiety,depression and quality of life scores before and after six chemotherapy cycles were compared between the 2 groups.Results Finally,70 patients completed the intervention,with 35 patients in each group.After the intervention,there were differences in 6-minute walking distance,anxiety scores,depression scores,and overall health status scores between the 2 groups were all statistically significant(P＜0.001).Conclusion Relaxation training combined with exercise intervention can maintain exercise endurance in colorectal cancer patients undergoing chemotherapy and alleviate anxiety and depression to some extent,helping to improve patients' quality of life.

Objective To explore the clinical value of artificial intelligence (AI) quantitative parameters in distinguishing pathological grades of stageⅠ invasive adenocarcinoma (IAC). Methods Clinical data of patients with clinical stageⅠ IAC admitted to Yantaishan Hospital Affiliated to Binzhou Medical University from October 2018 to May 2023 were retrospectively analyzed. Based on the 2021 WHO pathological grading criteria for lung adenocarcinoma, IAC was divided into gradeⅠ, grade Ⅱ, and grade Ⅲ. The differences in parameters among the groups were compared, and logistic regression analysis was used to evaluate the predictive efficacy of AI quantitative parameters for grade Ⅲ IAC patients. Parameters were screened using least absolute shrinkage and selection operator (LASSO) regression analysis. Three machine learning models were constructed based on these parameters to predict grade Ⅲ IAC and were internally validated to assess their efficacy. Nomograms were used for visualization. Results A total of 261 IAC patients were included, including 101 males and 160 females, with an average age of 27-88 (61.96±9.17) years. Six patients had dual primary lesions, and different lesions from the same patient were analyzed as independent samples. There were 48 patients of gradeⅠ IAC, 89 patients of grade Ⅱ IAC, and 130 patients of grade Ⅲ IAC. There were statitical differences in the AI quantitive parameters such as consolidation/tumor ratio (CTR), ect among the three goups. (P<0.05). Univariate analysis showed that the differences in all variables except age were statistically significant (P<0.05) between the group gradeⅠ+grade Ⅱand the group grade Ⅲ . Multivariate analysis suggested that CTR and CT standard deviation were independent risk factors for identifying grade Ⅲ IAC, and the two were negatively correlated. Grade Ⅲ IAC exhibited advanced TNM staging, more pathological high-risk factors, higher lymph node metastasis rate, and higher proportion of advanced structure. CTR was positively correlated with the proportion of advanced structures in all patients. This correlation was also observed in grade Ⅲ but not in gradeⅠand grade ⅡIAC. CTR and CT median value were selected by using LASSO regression. Logistic regression, random forest, and XGBoost models were constructed and validated, among which, the XGBoost model demonstrated the best predictive performance. Conclusion Cautious consideration should be given to grade Ⅲ IAC when CTR is higher than 39.48% and CT standard deviation is less than 122.75 HU. The XGBoost model based on combined CTR and CT median value has good predictive efficacy for grade Ⅲ IAC, aiding clinicians in making personalized clinical decisions.