Thrombospondin 4 (THBS4; TSP4), a crucial component of the extracellular matrix (ECM), serves as an important regulator of tissue homeostasis and various pathophysiological processes. As a member of the evolutionarily conserved thrombospondin family, THBS4 is a multidomain adhesive glycoprotein characterized by six distinct structural domains that mediate its diverse biological functions. Through dynamic interactions with various ECM components, THBS4 plays pivotal roles in cell adhesion, proliferation, inflammation regulation, and tissue remodeling, establishing it as a key modulator of microenvironmental organization. The transcription and translation of THBS4 gene, as well as the activity of the THBS4 protein, are tightly regulated by multiple signaling pathways and extracellular cues. Positive regulators of THBS4 include transforming growth factor-β (TGF-β), interferon-γ (IFNγ), granulocyte-macrophage colony-stimulating factor (GM-CSF), bone morphogenetic proteins (BMP12/13), and other regulatory factors (such as B4GALNT1, ITGA2/ITGB1, PDGFRβ, etc.), which upregulate THBS4 at the mRNA and/or protein level. Conversely, oxidized low-density lipoprotein (OXLDL) acts as a potent negative regulator of THBS4. This intricate regulatory network ensures precise spatial and temporal control of THBS4 expression in response to diverse physiological and pathological stimuli. Functionally, THBS4 acts as a critical signaling hub, influencing multiple downstream pathways essential for cellular behavior and tissue homeostasis. The best-characterized pathways include: (1) the PI3K/AKT/mTOR axis, which THBS4 modulates through both direct and indirect interactions with integrins and growth factor receptors; (2) Wnt/β-catenin signaling, where THBS4 functions as either an activator or inhibitor depending on the cellular context; (3) the suppression of DBET/TRIM69, contributing to its diverse regulatory roles. These signaling connections position THBS4 as a master regulator of cellular responses to microenvironmental changes. Substantial evidence links aberrant THBS4 expression to a range of pathological conditions, including neoplastic diseases, cardiovascular disorders, fibrotic conditions, neurodegenerative diseases, musculoskeletal disorders, and atopic dermatitis. In cancer biology, THBS4 exhibits context-dependent roles, functioning either as a tumor suppressor or promoter depending on the tumor type and microenvironment. In the cardiovascular system, THBS4 contributes to both adaptive remodeling and maladaptive fibrotic responses. Its involvement in fibrotic diseases arises from its ability to regulate ECM deposition and turnover. The diagnostic and therapeutic potential of THBS4 is particularly promising in oncology and cardiovascular medicine. As a biomarker, THBS4 expression patterns correlate significantly with disease progression and patient outcomes. Therapeutically, targeting THBS4-mediated pathways offers novel opportunities for precision medicine approaches, including anti-fibrotic therapies, modulation of the tumor microenvironment, and enhancement of tissue repair. This comprehensive review systematically explores three key aspects of THBS4 research(1) the fundamental biological functions of THBS4 in ECM organization; (2) its mechanistic involvement in various disease pathologies; (3) its emerging potential as both a diagnostic biomarker and therapeutic target. By integrating recent insights from molecular studies, animal models, and clinical investigations, this review provides a framework for understanding the multifaceted roles of THBS4 in health and disease. The synthesis of current knowledge highlights critical research gaps and future directions for exploring THBS4-targeted interventions across multiple disease contexts. Given its unique position at the intersection of ECM biology and cellular signaling, THBS4 represents a promising frontier for the development of novel diagnostic tools and therapeutic strategies in precision medicine.

Cardiovascular disease (CVD), chronic kidney disease (CKD), and metabolic disorders are the 3 major chronic diseases threatening human health, which are closely related and often coexist, significantly increasing the difficulty of disease management. In response, the American Heart Association (AHA) proposed a novel disease concept of “cardiovascular-kidney-metabolic (CKM) syndrome” in October 2023, which has triggered widespread concern about the co-treatment of heart and kidney diseases and the prevention and treatment of metabolic disorders around the world. This review posits that effectively managing CKM syndrome requires a new and multidimensional paradigm for diagnosis and risk prediction that integrates biological insights, advanced technology and social determinants of health (SDoH). We argue that the core pathological driver is a “metabolic toxic environment”, fueled by adipose tissue dysfunction and characterized by a vicious cycle of systemic inflammation and oxidative stress, which forms a common pathway to multi-organ injury. The at-risk population is defined not only by biological characteristics but also significantly impacted by adverse SDoH, which can elevate the risk of advanced CKM by a factor of 1.18 to 3.50, underscoring the critical need for equity in screening and care strategies. This review systematically charts the progression of diagnostic technologies. In diagnostics, we highlight a crucial shift from single-marker assessments to comprehensive multi-marker panels. The synergistic application of traditional biomarkers like NT-proBNP (reflecting cardiac stress) and UACR (indicating kidney damage) with emerging indicators such as systemic immune-inflammation index (SII) and Klotho protein facilitates a holistic evaluation of multi-organ health. Furthermore, this paper explores the pivotal role of non-invasive monitoring technologies in detecting subclinical disease. Techniques like multi-wavelength photoplethysmography (PPG) and impedance cardiography (ICG) provide a real-time window into microcirculatory and hemodynamic status, enabling the identification of early, often asymptomatic, functional abnormalities that precede overt organ failure. In imaging, progress is marked by a move towards precise, quantitative evaluation, exemplified by artificial intelligence-powered quantitative computed tomography (AI-QCT). By integrating AI-QCT with clinical risk factors, the predictive accuracy for cardiovascular events within 6 months significantly improves, with the area under the curve (AUC) increasing from 0.637 to 0.688, demonstrating its potential for reclassifying risk in CKM stage 3. In the domain of risk prediction, we trace the evolution from traditional statistical tools to next-generation models. The new PREVENT equation represents a major advancement by incorporating key kidney function markers (eGFR, UACR), which can enhance the detection rate of CKD in primary care by 20%-30%. However, we contend that the future lies in dynamic, machine learning-based models. Algorithms such as XGBoost have achieved an AUC of 0.82 for predicting 365-day cardiovascular events, while deep learning models like KFDeep have demonstrated exceptional performance in predicting kidney failure risk with an AUC of 0.946. Unlike static calculators, these AI-driven tools can process complex, multimodal data and continuously update risk profiles, paving the way for truly personalized and proactive medicine. In conclusion, this review advocates for a paradigm shift toward a holistic and technologically advanced framework for CKM management. Future efforts must focus on the deep integration of multimodal data, the development of novel AI-driven biomarkers, the implementation of refined SDoH-informed interventions, and the promotion of interdisciplinary collaboration to construct an efficient, equitable, and effective system for CKM screening and intervention.

Objective To explore the value of electrocardiogram in predicting culprit vessels in acute inferior myocardial infarction.Methods The clinical data of 129 patients with acute inferior myocardial infarction admitted to First Affiliated Hospital of Army Medical University from January 2015 to December 2021 were retrospectively analyzed.Patients were received coronary intervention treatment,and the culprit vessels were identified by coronary angiography.The culprit vessels during surgery were recorded.The preoperative electrocardio-gram of patients were analyzed,a new method for predicting culprit vessels in acute inferior myocardial infarction was established based on the previous researches,and the accuracies of the Fiol method,Tiala method,Huang's algorithm and new method in predicting the culprit vessels in acute inferior myocardial infarction were also counted.The predictive abilities of various methods on culprit vessels were evaluated using receiver operating characteristic(ROC)curve and the area under the curve(AUC)was calculated.Results The culprit vessels of 109 patients were the right coronary artery,16 cases were the left circumflex artery,and 4 cases were the anterior descending artery.A total of 52 patients developed clinical complications,of which the culprit vessels of 47 cases were right coronary artery and 5 cases were circumflex artery.The accuracies of the Fiol method,Tierala method,Huang's algorithm,and new method in predicting culprit vessels were 83.7%,81.4%,82.9%,and 85.3%,respectively.The ROC curve analysis showed that the Fiol method(AUC=0.941),Tierrala method(AUC= 0.945),Huang's algorithm(AUC=0.945),and new method(AUC=0.964)all had strong predictive ability for culprit vessels.Conclusion For patients with acute inferior myocardial infarction,the Fiol method,Tierala method,Huang's algorithm,and new method all have high predictive value for culprit vessels in analyzing the preoperative electrocardiogram,and the new method has a higher predictive value.

Objective To design a portable intelligent cleaner for medical lumen instruments to enhance cleaning efficiency.Methods The portable intelligent cleaner had a box-body shape and a shell made of 304 stainless steel,which was composed of a circuit control board,a micro pump,lithium batteries,a charging interface,a rinse tube and connectors.The circuit control board used a STM32G030C8T6 integraged circuit,which was equipped with a countdown digital tube to display the time left for cleaning;the micro pump and lithium batteries were placed at the inner wall of the box bottom,the charging interface and water inlet/outlet inteface were put on the outside of the front wall of the box bottom,the water inlet/outlet interface was connected with a silicon rinse tube linked to an adapter at its distal end,and the adapters with different calibers were compatible with sizes of medical lumen instruments.Totally 9 672 pieces of lumen instruments received by some hospital's disinfection supply center from May to October 2021 were divided into 2 groups with the convenience sampling method,with 4 836 pieces in each group.The odd-numbered instruments were enrolled into a control group and cleaned with an ultrasonic cleaner and a lumen brush,and the even-numbered instruments were included into an experimental group and cleaned conventionally after pretreatment by the intelligent cleaner.The two groups were compared in terms of eaning efficiency and satisfaction.Results Testing by visual inspection,magnifying glass with light source and white stripe method showed that the experimental group behaved better than the control group in the cleaning qualification rate,whose satisfaction rate(100％)was also higher than that of the control group(86.53％),with all the differences being statistically significant(P＜0.05).Conclusion The portable cleaner with easy operation enhances the cleaning quality and efficiency for medical lumen instruments.[Chinese Medical Equipment Journal,2024,45(10):114-117]

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective To explore the clinical efficacy and influencing factors of omadacycline(OMC)in the treat-ment of patients with infectious diseases.Methods Data about hospitalized patients who received OMC monothera-py or combination therapy at Xiangya Hospital of Central South University from January 2022 to December 2023 were analyzed retrospectively.The influencing factors for failure of OMC treatment was analyzed by univariate and multivariate logistic regression analysis.Results A total of 160 patients were included in analysis,with an overall effective treatment rate of 69.4％(n=111).After treatment with OMC,patients in effective group was observed that body temperature improved([36.83±0.52]℃ vs[37.85±0.92]℃,P＜0.001),white blood cell count([7.78±4.07]× 109/L vs[10.06±6.49]× 109/L,P＜0.001),procalcitonin([0.63±1.19]ng/mL vs[4.43±10.14]ng/mL,P=0.001),C-reactive protein([35.16±37.82]mg/L vs[105.08±99.47]mg/L,P＜0.001),and aspartate aminotransferase([50.50±40.04]U/L vs[77.17±91.43]U/L,P=0.004)all decreased signifi-cantly.Only one patient had adverse reactions such as diarrhea,but treatment was not interrupted.Univariate ana-lysis showed that patients in failure treatment group had a higher acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)score(17.0[9.5-22.0]vs 12.0[9.0-19.0],P=0.046)and sequential organ failure assessment(SOFA)score(7.0[4.5-10.0]vs 4.0[2.0-9.0],P=0.019).Multivariate analysis showed that end-stage liver disease(OR=77.691,95％CI:5.448-1 107.880,P=0.001),mechanical ventilation(OR=6.686,95％CI:1.628-27.452,P=0.008)and the combination treatment of vancomycin(OR=6.432,95％CI:1.891-21.874,P=0.003)were risk factors for the failure of OMC treatment,while the course of OMC treatment(OR=0.905,95％CI:0.825-0.994,P=0.037)was a protective factor for the effective treatment.Conclusion OMC can be used as an alternative therapy for refractory severe infection,with fewer adverse reaction.End-stage liver disease,mechanical ventilation and combination treatment of vancomycin are risk factors for failure of OMC treatment in in-fected patients.Adequate OMC treatment course can improve patients'clinical outcome,large-scale case studies are needed to confirm the initial conclusion.

In order to meet the accuracy requirements of hospitals for abnormal detection of fetal monitor data,a hospital fetal monitor data anomaly detection method based on Euclidean distance was proposed.In this method,according to the abnormal detection method of fetal monitor data in hospitals,the ultrasound Doppler detector was used to collect fetal heart rate signal data,and the fetal heart rate signal denoising method based on adaptive filtering was used to remove the noise components of the collected fetal heart rate signal.The denoised fetal heart rate signal was used as the identification sample of the abnormal fetal heart rate signal identification method based on Euclidean distance method.The Euclidean distance Euclidean distance between the denoised fetal heart rate signal and the normal fetal heart rate signal was analyzed by combining the Euclidean distance method and the strong classifier to analyze whether the virtual sinusoidal distance between the denoised fetal heart rate signal and the normal fetal heart rate signal was greater than the tuned Euclidean distance threshold.Fetal heart rate signal samples greater than the threshold were classified and diagnosed as abnormal monitoring data.The fetal heart rate information collected by the fetal monitor in the hospital was accurate,and the abnormal detection results were valid and reliable.

Objective:To investigate the effect of bevacizumab combined with taxanes in the treatment of advanced human epidermal growth factor receptor-2 (HER-2) negative breast cancer.Method:A total of 61 patients with advanced HER-2 negative breast cancer admitted to SiChuan Mianyang 404 Hospital from January 2021 to June 2023 were selected as the research objects, giving one to paclitaxel (albumin combined type) treatment of 29 patients in control group, will be cut bead single combined therapy with paclitaxel (albumin combined type) of 32 patients into the observation group. The clinical efficacy (objective response rate (ORR) and disease control rate (DCR)), the levels of tumor markers (carcinoembryonic antigen (CEA) and carbohydrate antigen 125 (carbohydrate)) before and after treatment were compared between the two groups CA125, carbohydrate antigen 153 (CA153), adverse reactions during treatment; Measurement data with normal distribution were represented as indicated, and comparison between groups was analyzed using the t test. Rate between group compared with chi-square test. The rank sum test was used to compare the constituent ratio of ordinal data between groups. Kaplan-Meier survival curve was used to analyze the prognosis of patients. Results After treatment, the ORR and DCR of the observation group were significantly higher than those of the control group (53.13%(17/32) vs 27.59 (8/29), 84.38% (27/32) vs 62.07% (18/29)), the differences were statistically significant ( χ2=4.10, 3.91, all P<0.05). After treatment, the serum CEA, CA125 and CA153 in the observation group were significantly lower than those in the control group (CEA: (15.76±1.89) ng/mL vs. (20.24±2.36) ng/mL, CA125: (25.78±3.44) kU/L vs (34.66±4.01) kU/L, CA125: (25.78±3.44) kU/L vs. (34.66±4.01) kU/L; CA153: (18.34±2.19) kU/L vs. (24.19±3.28) kU/L). The difference between the two groups was statistically significant ( t-values were 8.22, 9.31, and 8.26, all P<0.01). There was no significant difference in the incidence of adverse reactions between the two groups during treatment ( P>0.05). The median progression-free survival (PFS) of the observation group was significantly longer than that of the control group (8 months vs 5 months, χ2=7.14, P=0.008). Conclusions:Bevacizumab combined with taxanes in the treatment of patients with advanced HER-2 negative breast cancer has definite short-term efficacy, can inhibit the expression of tumor markers, prolong PFS, has good safety, and is worthy of clinical application.

[Purpose]To analyze the compliance and influencing factors of endoscopic screening in high-risk population of upper gastrointestinal cancer(UGC)in Chongqing Municipality.[Methods]Risk assessment of UGC was conducted among residents aged 40～74 years old in the areas covered by the Chongqing Urban Cancer Early Diagnosis and Treatment Program from 2012 to 2019.The residents with high risk of UGC were advised to receive free endoscopic screening in designated hospitals.The compliance and influencing factors of endoscopic screening among high-risk sub-jects were analyzed.[Results]There were 266 611 residents who completed the questionnaires and UGC risk assessment,among whom 48 000(18.00％)were assessed as high risk.A total of 9 162 high-risk individuals received the following endoscopic screening with a compliance rate of 19.09％.Multivariate Logistic regression analysis showed that residents aged 45～64 years old,with high school or above education,divorced or widowed status,occupational exposure to haza-rdous substances,hot food preference,high fat diet,frequent consumption of pickled and dried food,exposure to kitchen fume,psychic trauma or depression,upper gastrointestinal disease his-tory and family history of UGC were likely to accept endoscopic screening;while those aged 70 years old and above,current smokers,and having regular physical exercise were likely to have low compliance.[Conclusion]Among high-risk residents of UGC in Chongqing,the compliance to endoscopic screening needs be improved,health education and management should be targeted to those likely to have low compliance.

italic>Schisandra chinensis is a traditional Chinese medicine with the functions of reinforcing deficiency, strengthening, and inducing astringency, appliable to treat the chronic cough and deficiency in breath, palpitation, and insomnia, etc. A hybrid mass spectrometry scanning strategy (high-definition data-independent/data-dependent acquisition, HDDIDDA), enabling the ion mobility separation and alternating data-independent acquisition/data-dependent acquisition, was established, which, in combination with in-house library-driven automatic peak annotation workflows facilitated by the UNIFI software, was utilized to systematically characterize the multi-classes of chemical components from S. chinensis. The use of an HSS T3 column (100 mm × 2.1 mm, 1.8 μm), 0.1% formic acid in H₂O-acetonitrile as the mobile phase running at the flow rate of 0.3 mL·min^-1, and column temperature at 35 ℃, could enable good separation of the S. chinensis components within 42 min. HDDIDDA scan in both the positive and negative ion modes was employed for data acquisition. Based on the automatic peak annotation, reference standards comparison, MS² data interpretation, and literature analysis, we were able to identify or tentatively characterize 105 compounds in the S. chinensis decoction, involving 56 terpenoids, 42 lignans, five glycosides, one organic acid, and one flavonoid. HDDIDDA scanning can improve the coverage of data acquisition and improve the accuracy of identification, while CCS prediction analysis provides the possibility to distinguish isomers by the ion mobility technology. The results provide reference for the intelligent material basis research of TCM.