The occurrence of diabetes mellitus （DM） is closely related to insulin resistance and islet β cell dysfunction. Modern studies have found that macrophages are widely present in the liver，fat，skeletal muscle，islets， and other tissues and organs. Macrophage M1/M2 polarization plays an important role in the occurrence and development of diabetes mellitus and its related complications by intervening in inflammatory response，improving insulin resistance，and promoting tissue repair. Most of the traditional Chinese medicines that regulate the activation and polarization of macrophages are Qi-replenishing and Yin-nourishing，heat-clearing， and detoxicating medicinal，which are consistent with the etiology and pathogenesis of diabetes and its related complications. Therefore，by summarizing the mechanisms between macrophage activation，polarization， and insulin resistance in various tissues，this paper reviewed traditional Chinese medicine and its effective components and compounds in improving diabetes mellitus and its related complications through multi-channel regulation of macrophage polarization and regulation of M1/M2 ratio，providing references for the future treatment of DM and its related complications with traditional Chinese medicine.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

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 discuss the effect of human umbilical cord mesenchymal stem cells culture supernatant(hUCMSCs-Sup)on the proliferation,apoptosis,and endometrium receptivity of the human endometrial stromal cells(hEndoSCs)treated with mifepristone(Ms),and to clarify the possible mechanism.Methods:The hEndoSCs were cultured in vitro and divided into control group and 40,60,80,and 100 μmol·L-1 Ms groups.The survival rates of the cells in various groups were detected by MTT assay.The hEndoSCs were divided into control group,40 μmol·L-1 Ms group,and 60 μmol·L-1 Ms group.The apoptotic rates of the cells in various groups were detected by flow cytometry;the expression levels of apoptosis-related protein B-cell lymphoma-2(Bcl-2)and Bcl-2-associated X protein(Bax)proteins in the cells in various groups were detected by Western blotting method,and the ratio of Bcl-2/Bax was calculated.After treated with hUCMSCs-Sup,the hEndoSCs were divided into control group,Ms group,Ms+hUCMSCs-Sup group,and Ms+hUCMSCs-Sup+3-methyladenine(3-MA)group.The survival rates of the cells in various groups were detected by MTT assay;the apoptotic rates of the cells in various groups were detected by flow cytometry;the expression levels of microtubule-associated protein 1 light chain 3B-Ⅱ(LC3B-Ⅱ)and microtubule-associated protein 1 light chain 3B-I(LC3B-Ⅰ)proteins in the cells in various groups were detected by Western blotting method,and the ratio of LC3B-Ⅱ/LC3B-Ⅰwas calculated;the expression levels of endometrium receptivity marker molecules mRNA in the cells in various groups were detected by real-time fluorescence quantitative PCR(RT-qPCR)method.Results:Compared with control group,the survival rates of the cells in 40,60,80,and 100 μmol·L-1 Ms groups were significantly decreased(P<0.05)in a time-dependent and dose-dependent manner.Compared with control group,the apoptotic rates of the cells in 40 and 60 μmol·L-1 Ms groups were significantly increased(P<0.05),and the ratios of Bcl-2/Bax were significantly decreased(P<0.05).After treated with hUCMSCs-Sup,compared with control group,the survival rate of the cells and ratio of LC3B-Ⅱ/LC3B-Ⅰ in the cells in Ms group were significantly decreased(P<0.05),the apoptotic rate was significantly increased(P<0.05),and the expression levels of homeobox A10(HOXA10),leukemia inhibitory factor(LIF),and integrin subunit beta 3(ITGB3)mRNA in the cells were significantly decreased(P<0.05);compared with Ms group,the survival rate of the cells and ratio of LC3B-Ⅱ/LC3B-Ⅰin the cells in Ms+hUCMSCs-Sup group were significantly increased(P<0.05),the apoptotic rate was significantly decreased(P<0.05),and the expression levels of HOXA10,LIF,and ITGB3 mRNA in the cells were significantly increased(P<0.05);compared with Ms+hUCMSCs-Sup group,the survival rate of the cells and ratio of LC3B-Ⅱ/LC3B-Ⅰ in the cells in Ms+hUCMSCs-Sup+3-MA group were significantly decreased(P<0.05).Conclusion:hUCMSCs-Sup can increase the survival rate and decrease the apoptotic rate of the hEndoSCs after treated with Ms,and increase the endometrium receptivity,and its mechanism may be associated with the activation of autophagy of the hEndoSCs by hUCMSCs-Sup.

Objective:Migraine and tremor share some genetic mutation sites,and clinical studies have also confirmed their correlation.This study aims to explore the clinical and electrophysiological characteristics of migraine patients with concomitant tremor,and to analyze the relevant influential factors of tremor occurrence. Methods:We retrospectively analyzed the clinical data of 217 migraine patients who visited the Third Affiliated Hospital of Qiqihar Medical University from June 2022 to October 2023.The Clinical Rating Scale for Tremor(CRST),Numerical Rating Scale(NRS),Generalized Anxiety Disorder-7(GAD-7),and Patient Health Questionnaire-9(PHQ-9)were respectively used to assess the tremor symptoms,degree of headache,anxiety,and depression of patients.All patients underwent routine head MR scanning and electromyography examination,and were divided into a migraine with tremor group and a migraine without tremor group based on the electromyogram examination. Results:The migraine with tremor group and the migraine without tremor group were included 52 patients(23.96%)and 165 patients(76.04%),respectively.Compared with the migraine without tremor group,the migraine with tremor group had a longer course and duration of headache,higher frequency of headache attacks,higher NRS score,GAD-7 score,and PHQ-9 score,and fewer weekly physical exercises.The differences were statistically significant(all P<0.05).There were no statistically significant differences in the presence or absence of prodromal headache and white matter hyperintensities(WMHs)between the 2 groups(both P>0.05).The evaluation results of the CRST showed that out of 217 migraine patients,39 patients(17.97%)were accompanied by tremors.The electromyographic results showed that all 52 migraine patients with tremors had upper limb tremors,including 28 migraine patients with postural tremors and 24 migraine patients with static tremors.Compared with the migraine patients with static tremors,the migraine patients with postural tremors had lower average frequency,peak frequency,and headache onset frequency(all P<0.05).Multiple linear regression analysis showed that frequency of physical exercise,duration of illness,frequency of headache attacks,NRS score,GAD-7 score,and PHQ-9 score were risk factors for migraine patients with concomitant tremors(all P<0.05). Conclusion:Patients with migraine mainly experience upper limb postural tremors.Reduced physical exercise,long course of disease,long duration of headache,frequent headache attacks,severe headache,anxiety,and depression are risk factors for migraine patients with concomitant tremors.

Objective To evaluate the characteristics of different antigen-specific T cell immune responses to severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)after inoculation with 2 doses of SARS-CoV-2 inactivated vaccine for 12 months.Methods Fifteen healthy adults were enrolled in this study and blood samples collected at 12 months after receiving two doses of SARS-CoV-2 inactivated vaccine.The level and phenotypic characteristics of SARS-CoV-2 antigen-specific T lymphocytes were detected by activation-induced markers(AIM)based on polychromatic flow cytometry.Results After 12 months of inoculation with 2 doses of SARS-CoV-2 inactivated vaccine,more than 90%of adults had detectable Spike and Non-spike antigen-specific CD4+ T cells immune responses(Spike:14/15,P=0.0001;Non-spike:15/15,P<0.0001).80%of adults had detectable Spike and Non-spike antigen-specific CD8+ T cells immune responses(Spike:12/15,P=0.0463;Non-spike:12/15,P=0.0806).Antigen-specific CD4+ T cells induced by SARS-CoV-2 inactivated vaccination after 12 months were composed of predominantly central memory(CM)and effector memory 1(EM1)cells.On the other hand,in terms of helper subsets,antigen-specific CD4+ T cells mainly showed T helper 1/17(Th1/17)and T helper 2(Th2)phenotypes.Conclusions SARS-CoV-2 inactivated vaccination generates durable and extensive antigen-specific CD4+ T cell memory responses,which may be the key factor for the low proportion of severe coronavirus disease 2019(COVID-19)infection in China.

Objective:To investigate the efficacy of the nomogram model based on multiparametric MRI combined with clinical features for differential diagnosis of benign and malignant breast imaging reporting and data system (BI-RADS) 4 lesions.Methods:This study was a cross-sectional study. Clinical and imaging data of 56 patients (66 lesions) with pathologically confirmed BI-RADS 4 breast lesions from January 2020 to June 2022 at Second Affiliated Hospital of Shantou University Medical College were retrospectively analyzed. The patients were all females aged 42 (17, 71) years old. All patients underwent the breast MRI, including T 1WI, T 2WI, diffusion-weighted imaging, diffusion kurtosis imaging (DKI), and dynamic-enhanced MRI (DCE-MRI), and the patient clinical characteristics, imaging characteristics as well as relevant MRI quantitative parameters were recorded. Comparisons of the indicators of benign and malignant BI-RADS 4 lesions were performed by sample t-test , Mann-Whitney U, or χ 2 test. The least absolute shrinkage and selection operator regression was utilized to further select indicators with statistically significant differences in univariate analyses, and finally, nomogram models were constructed and reclassified all the lesions. Results:Of the 66 lesions in 56 patients, 24 lesions were found in 24 malignant patients and 42 lesions in 32 benign patients. The differences in age, body mass index, and menopausal status between benign and malignant patients were statistically significant (all P<0.05); the differences in tumor longest diameter, type of lesion enhancement, time-single intensity curve type, mean diffusivity and mean kurtosis (MK) between benign and malignant lesions were statistically significant (all P<0.05). After feature selection, MK ( OR=27.952, 95% CI 1.301-600.348, P=0.033), age ( OR=1.140, 95%CI 1.040-1.249, P=0.005), and the type of lesion enhancement ( OR=0.045, 95%CI 0.006-0.316, P=0.005) were the independent influences in predicting BI-RADS 4 malignant lesions. Using this to construct a nomogram model, its area under the curve for predicting BI-RADS 4 malignant lesions was 0.946, and the accuracy of reclassifying 66 BI-RADS 4 lesions as benign versus malignant was 86.36% (57/66). Conclusion:The nomogram model constructed with MK from DKI parameters, the type of lesion enhancement from DCE-MRI, and age is valuable in diagnosing the benign and malignant nature of BI-RADS 4 lesions.

The theory of "linkage between spleen and small intestine" has been put forward by doctors as early as the Ming dynasty. In traditional Chinese medicine， the spleen and small intestine cooperate and work together physiologically， and they are also closely related and interact with each other pathologically. The spleen governs transportation and transformation， which involves the function of the small intestine in transforming water and grain. The small intestine， governing the receiving and transformation of substances， depends on the normal transportation of the spleen. At the same time， it provides guarantee for the spleen to transform Qi and generate blood as well as ascend lucidity and descend turbidity. The dysfunction of spleen in transportation is closely related to the dysfunction of small intestine. The stability of intestinal microecology necessitates the normal functioning of the spleen. When the original balance of intestinal flora is disturbed， the spleen functioning will be affected. This study explored the pathogenesis and treatment of diabetes based on the physiological functions of the spleen and small intestine and the Western medicine targets of "nutrients-intestinal flora". According to modern medicine， nutrients are essential to maintain the normal physiological activities of the human body. Proper intake of nutrients can affect the absorption and metabolism of the human body for nutrients by regulating the composition and function of intestinal flora， so as to prevent the occurrence of diabetes. The imbalance of intestinal flora which harbors rich microorganisms may lead to the disturbance of energy metabolism and the dysfunction of the immune system， eventually leading to diabetes. As a metabolic disease， diabetes is closely related to the imbalance of intestinal flora and nutrient intake. Based on the theory of "linkage between spleen and small intestine"， this paper discusses the relationship between spleen and small intestine. Furthermore， this paper discusses the correlation between "spleen-small intestine" and "nutrients-intestinal flora" by reviewing the latest progress in modern medicine and clinical research， aiming to provide a theoretical basis and new ideas for the clinical prevention and treatment of type 2 diabetes mellitus.