ObjectiveTo investigate the imaging features of calcium salt deposition and serological markers in patients with alveolar echinococcosis through a retrospective analysis， as well as independent risk factors for the degree of calcium salt deposition in lesions， and to provide a basis for assessing disease process. MethodsA retrospective analysis was performed for the imaging and clinical data of 107 patients with alveolar echinococcosis who were admitted to The First Affiliated Hospital of Shihezi University from December 2023 to June 2025， and according to the volume of calcium salt deposition， they were divided into non-deposition group with 16 patients， mild deposition group with 52 patients， moderate deposition group with 16 patients， and severe deposition group with 23 patients. A one-way analysis of variance or the Kruskal-Wallis H test was used for comparison of continuous data between groups， and the χ² test or Fisher’s exact test was used for comparison of categorical data between groups. The four groups were further combined into the low deposition group （no/mild deposition） and the high deposition group （moderate/severe deposition）. A binary logistic regression analysis was used to investigate the independent influencing factors for calcium salt deposition， and a predictive model was established. The receiver operating characteristic （ROC） curve was used to assess the predictive performance of the model， and the Bootstrap method was used for internal validation. ResultsThere were significant differences between the four groups in sex distribution， involvement of other sites， white blood cell count， lymphocyte percentage， fibrinogen， uric acid， sodium ion， chloride ion， and calcium ion （all P<0.05）. The univariate analysis showed that there were significant differences between the four groups in sex， involvement of other sites， white blood cell count， lymphocyte percentage， fibrinogen， alanine aminotransferase， albumin， creatinine， uric acid， sodium ion， chloride ion， and calcium ion （all P<0.1）. The multi-collinearity diagnosis showed that the VIF values for all continuous variables ranged from 1.104 to 1.760， suggesting that collinearity did not affect modeling. An ordinal logistic regression model was established based on sex， involvement of other sites， calcium ion， lymphocyte percentage， and uric acid. The multivariate analysis showed that lymphocyte percentage （odds ratio ［OR］=1.106， 95% confidence interval ［CI］： 1.041 — 1.174， P=0.001） and blood calcium level （OR=0.005， 95%CI： 0.000 —0.230， P=0.007） were independent influencing factors for the degree of calcium salt deposition. The regression equation was established as Logit（P）=8.231 + 0.100 × lymphocyte percentage -5.344 × calcium ion. The ROC curve analysis showed that the model had an area under the ROC curve of 0.716， with a Youden index of 0.353， a sensitivity of 1.000， and a specificity of 0.353. The Hosmer-Lemeshow test showed that the model had poor calibration （χ²=20.688， P=0.008）. The Bootstrap method with 1000 repeated samples showed that the estimated values of lymphocyte percentage （OR=1.106， 95%CI： 1.049 — 1.186， P=0.002） and calcium ion （OR=0.005， 95%CI： 0.000 — 0.214， P=0.010） were consistent with the original model， and the confidence intervals did not include 1， which further supported the reliability of the model. ConclusionBoth lymphocyte percentage and blood calcium level are independent influencing factors for calcium salt deposition in alveolar echinococcosis， and the degree of calcium salt deposition in alveolar echinococcosis lesions increases with the reduction in blood calcium level and the increase in lymphocyte percentage.

Based on the theory of evidence-based medicine （EBM）， this paper systematically constructed a multi-dimensional evaluation framework for traditional Chinese medicine （TCM） appropriate technologies， encompassing three core dimensions including evidence， practitioner， and patient. For the current practical challenges in the promotion of TCM technologies such as lack of high-quality evidence， inconsistent operational standards， and varying patient acceptance， the paper proposed the integration of published literature evidence and real-world research data to construct a scientific and applicable evaluation pathway. Regarding the evidence dimension， it emphasizes syste-matic assessment of effectiveness， safety， and economic efficiency， introducing methods like the target trial emulation framework to enhance evidence quality； for the practitioner dimension， it suggests developing multi-aspects competency evaluation tools based on educational background， training assessment， and clinical outcomes； for the patient dimension， it recommends designing patient acceptance assessment tools by considering factors such as technical characte-ristics， expected efficacy， patient-practitioner interaction， and the availability of alternative treatments. The purpose of the above measures is to provide methodological support for the standardized popularization and precision application of TCM appropriate technologies.

Diabetic kidney disease （DKD）， one of the leading causes of end-stage renal disease， shows increasing prevalence and mortality， seriously affecting the physical and mental health of patients. As a crucial link in the occurrence and development of DKD， pyroptosis can lead to kidney cell injury and inflammation through the abnormal activation of reactive oxygen species （ROS）/thioredoxin-interacting protein （TXNIP）/NOD-like receptor protein 3 （NLRP3）， Toll-like receptor 4 （TLR4）/nuclear factor-κB （NF-κB）/NLRP3， nuclear factor erythroid 2-related factor 2 （Nrf2）/heme oxygenase-1 （HO-1）， mitogen-activated protein kinase （MAPK）/NLRP3， and hypoxia-inducible factor-1α （HIF-1α）/NLRP3 signaling pathways， which accelerate the progression of DKD. In recent years， traditional Chinese medicine （TCM） has demonstrated definite efficacy in the treatment of DKD via multiple targets and pathways. Studies have shown that various TCM active components， including glycosides， flavonoids， polyphenols， terpenoids， and alkaloids， as well as TCM compound prescriptions for clearing heat and detoxifying， tonifying deficiency and consolidating root， and eliminating stasis and descending turbidity， can target relevant signaling pathways to inhibit pyroptosis and intervene in the development of DKD， providing new possibilities for precision treatment of DKD. This article systematically reviews the relevant pathways of pyroptosis and summarizes the research achievements and mechanisms of TCM active components and compound prescriptions in the treatment of DKD via pyroptosis in recent years. This review aims to provide new directions and ideas for the treatment and research of DKD with TCM and promote the modernization and development of TCM.

Depression is a common mental disorder in clinical practice， and it falls under the category of depression syndrome in traditional Chinese medicine （TCM）. In TCM， Qi depression is considered as the root cause of all depression syndromes. Qi depression can lead to blood stasis， which is a key cause of diseases due to depression syndrome. Therefore， treating stasis is an important therapeutic approach for depression syndrome. Salviae Miltiorrhizae Radix et Rhizoma， a representative herbal medicine for activating blood and removing stasis， is effective in activating blood， removing stasis， dredging meridians， and alleviating pain. Currently， it is primarily used in clinical practice to treat cardiovascular and cerebrovascular diseases， such as neurasthenia， coronary heart disease， insomnia， and palpitations. The active components of Salviae Miltiorrhizae Radix et Rhizoma are complex and exhibit a variety of pharmacological effects. These components include water-soluble salvianolic acids and lipid-soluble tanshinones. Modern pharmacological studies have proven that Salviae Miltiorrhizae Radix et Rhizoma and its active components possess antioxidant， anti-inflammatory， anti-tumor， anti-fibrosis， and neuroprotective properties. In recent years， increasing attention has been paid to the pharmacological effects and mechanisms of Salviae Miltiorrhizae Radix et Rhizoma and its active components in treating depression. This paper systematically reviews the antidepressant mechanisms of Salviae Miltiorrhizae Radix et Rhizoma and its main active components from the regulation of monoamine neurotransmitters， the hypothalamic-pituitary-adrenal axis， neurotrophic factors， and neuroinflammation. In addition， this paper summarizes the clinical applications of the prescriptions containing Salviae Miltiorrhizae Radix et Rhizoma in the treatment of depression， providing new insights for further research on the pharmacological mechanisms of Salviae Miltiorrhizae Radix et Rhizoma in treating depression.

Objective: To investigate the association of physical activity and screen time with overweight and obesity among children and adolescents with special needs in Tianjin, so as to provide scientific evidence for childhood obesity prevention and intervention measures in the population. Methods: From January 2022 to June 2024, 296 children and adolescents with intellectual disabilities and autism spectrum disorders aged 2-18 years were recruited from special education schools and institutions in Tianjin. Height and weight were measured, and a standardized questionnaire was used to assess physical activity and screen time. Binary Logistic regression analysis was carried out to investigate the association of physical activity and screen time with overweight and obesity. Results: The prevalence of overweight and obesity among children and adolescents with special needs in Tianjin were 17.2% and 21.6%, respectively, and the combined prevalence of overweight and obesity was 38.9%. The median of moderatetovigorous physical activity (MVPA) time was 0.20 h/d, and physical activity sufficiency rate was 7.8%. The median of screen time was 1.79 h/d, and the screen time compliance rate was 68.2%. The binary Logistic regression results showed that lower levels of MVPA time and increased screen time were associated with a higher risk of overweight and obesity among children and adolescents with special needs [OR(95%CI)=1.80(1.06-3.07), 2.40(1.42-4.07),P<0.05]. Conclusions Insufficient physical activity and excessive screen time are associated with an increased risk of overweight and obesity among children and adolescents with special needs. Therefore, comprehensive intervention measures should be implemented as early as possible to prevent and reduce the incidence of overweight and obesity in this population.

Objective: To explore the association between mediterranean diet (MD) patterns and dental caries among children and adolescents with neurodevelopmental disorders (NDD), so as to provide a basis for developing scientific anti caries strategies related to diet. Methods: From December 2021 to June 2024, a questionnaire survey, a three day 24 hour dietary review survey, oral health examination, physical development measurement and Childhood Autism Rating Scale (CARS) evaluation were conducted involving 147 children and adolescents aged 2-22 years with NDD from nine special education schools and rehabilitation institutions in Tianjin. Group comparisons were carried out using the Mann-Whitney U test, Chi-square test, or Fisher s exact probability method. The correlation between dietary quality and dental caries was analyzed by adopting multiple linear regression analysis and restricted cubic spline. Results: There were 46 children and adolescents (31.3%) in the non dental caries group and 101 children and adolescents (68.7%) in the dental caries group. The number of decayed missing and filled teeth (dmft) was 2.0 (4.0), and the MD score was 4.0 (2.0) points. There were 62 children and adolescents (42.2%) in the low MD scores group and 85 children and adolescents (57.8%) in the high MD scores group. There was no significant difference in MD scores between NDD children in the non dental caries group and those in the dental caries group [nondental caries group:4.0(2.0), dental caries group:4.0(2.0), Z= -0.14, P >0.05]. The MD scores and dmft exhibited increasing and then decreasing trend ( P total =0.02, P non lineary = 0.04 ). Children and adolescents with NDD in the MD high scores group had a lower number of dmft than those in the MD low scores group ( β= -2.00 , 95%CI =-3.39 to -0.62, P <0.05). However, in children and adolescents with NDD and CARS scores ≥30, the above association was insignificant ( β=-0.63, 95%CI=-0.29-0.15, P >0.05). Conclusion Children and adolescents with NDD who have dietary patterns similar to the Mediterranean diet, are found to have fewer dental caries, and this is observed among those with no or mild symptoms of autism spectrum disorder.

With the main pathological features of glomerulosclerosis and interstitial fibrosis， renal fibrosis is a key pathological process causing chronic kidney disease to progress to end-stage disease. As a cellular autophagic process， mitochondrial autophagy plays a crucial role in maintaining mitochondrial mass and functional stability. Mitochondrial dysfunction is considered to be one of the key factors driving the progression of fibrosis. Phosphatase and tension protein homologue （PTEN） induce various signalling pathways such as putative kinase 1/parkin， Nip3-like protein X/Bcl-2 interacting protein 3， and FUN14 structural domain-containing protein 1 to activate mitochondrial autophagy to participate in the regulation of fibrogenic factors， amelioration of oxidative stress， and inhibition of inflammatory response and apoptosis， which in turn effectively slows down the progression of renal fibrosis. Studies have shown that traditional Chinese medicine monomers and compound preparations， including phenolics， terpenoids， ketones， and alkaloids， can regulate mitochondrial autophagy-related signalling pathways and achieve significant clinical efficacy in intervening in the progression of renal fibrosis for the treatment of chronic kidney disease. This paper summarized the mechanism of mitochondrial autophagy and the research progress of traditional Chinese medicine intervention in renal fibrosis to provide new ideas for the study of the mechanism of traditional Chinese medicine in treating renal fibrosis.

With the main pathological features of glomerulosclerosis and interstitial fibrosis， renal fibrosis is a key pathological process causing chronic kidney disease to progress to end-stage disease. As a cellular autophagic process， mitochondrial autophagy plays a crucial role in maintaining mitochondrial mass and functional stability. Mitochondrial dysfunction is considered to be one of the key factors driving the progression of fibrosis. Phosphatase and tension protein homologue （PTEN） induce various signalling pathways such as putative kinase 1/parkin， Nip3-like protein X/Bcl-2 interacting protein 3， and FUN14 structural domain-containing protein 1 to activate mitochondrial autophagy to participate in the regulation of fibrogenic factors， amelioration of oxidative stress， and inhibition of inflammatory response and apoptosis， which in turn effectively slows down the progression of renal fibrosis. Studies have shown that traditional Chinese medicine monomers and compound preparations， including phenolics， terpenoids， ketones， and alkaloids， can regulate mitochondrial autophagy-related signalling pathways and achieve significant clinical efficacy in intervening in the progression of renal fibrosis for the treatment of chronic kidney disease. This paper summarized the mechanism of mitochondrial autophagy and the research progress of traditional Chinese medicine intervention in renal fibrosis to provide new ideas for the study of the mechanism of traditional Chinese medicine in treating renal fibrosis.

Diabetic kidney disease （DKD） stands as one of the most prevalent microvascular complications of diabetes，noted for its concealed onset and tendency to evolve into end-stage renal disease，profoundly impacting patients' life expectancy and quality of life. Epithelial-to-mesenchymal transition （EMT） is a central pathological process in the initiation and progression of DKD，facilitating disease advancement and renal fibrosis，thus representing a crucial focus of research into the pathological mechanisms of DKD. EMT is driven by the abnormal activation of signaling pathways，including transforming growth factor-β （TGF-β）/Smad，secreted glycoprotein/β-catenin，Notch，tumor necrosis factor-α （TNF-α）/nuclear factor-κB （NF-κB），and phosphatidylinositol-3-kinase/protein kinase B/mammalian target of rapamycin （PI3K/Akt/mTOR），leading to renal cellular injury and subsequently accelerating renal fibrosis and the progression of DKD. Traditional Chinese medicine （TCM），characterized by its multi-target and multi-pathway therapeutic approach，demonstrates unique advantages in addressing DKD and EMT. Recent research has shown that active ingredients in TCM，including glycosides，flavonoids，and polyphenols，as well as TCM formulas，can precisely target these relevant signaling pathways，effectively inhibiting cellular injury in DKD and intervening in the EMT process. These findings not only underscore the potential of TCM monomers and formulas in treating DKD and EMT but also pave new directions for research in this field within TCM. This paper systematically reviewed the signaling pathways associated with EMT and provided an in-depth analysis of the research achievements and underlying mechanisms of TCM monomers and formulas in treating DKD and intervening in EMT，aiming to offer new insights and directions for TCM in the treatment of DKD and research on EMT，thereby further promoting the modernization and development of TCM.

General anesthesia, pivotal for surgical procedures, requires precise depth monitoring to mitigate risks ranging from intraoperative awareness to postoperative cognitive impairments. Traditional assessment methods, relying on physiological indicators or behavioral responses, fall short of accurately capturing the nuanced states of unconsciousness. This study introduces a machine learning-based approach to decode anesthesia depth, leveraging EEG data across different anesthesia states induced by propofol and esketamine in rats. Our findings demonstrate the model's robust predictive accuracy, underscored by a novel intra-subject dataset partitioning and a 5-fold cross-validation method. The research diverges from conventional monitoring by utilizing anesthetic infusion rates as objective indicators of anesthesia states, highlighting distinct EEG patterns and enhancing prediction accuracy. Moreover, the model's ability to generalize across individuals suggests its potential for broad clinical application, distinguishing between anesthetic agents and their depths. Despite relying on rat EEG data, which poses questions about real-world applicability, our approach marks a significant advance in anesthesia monitoring.
Animals ; Machine Learning ; Electroencephalography/methods* ; Ketamine/administration & dosage* ; Rats ; Male ; Propofol/administration & dosage* ; Rats, Sprague-Dawley ; Anesthesia, General/methods* ; Brain/physiology* ; Intraoperative Neurophysiological Monitoring/methods*