Post-stroke cognitive impairment （PSCI） is a highly prevalent severe complication after stroke. In traditional Chinese medicines （TCM）， its core pathogenesis is characterized by deficiency in origin and excess in superficiality： wind， phlegm and blood stasis accumulate， cloud the clear orifices and lead to loss of mental activity， and Xingnao kaiqiao is the targeted principal treatment. This review summarizes the research progress on the pharmacological mechanisms of representative Xingnao kaiqiao-type TCM including Acorus tatarinowii ， Curcumae Radix ， Polygala tenuifolia ， borneol and musk， as well as clinical applications of their related compound formulas and Chinese patent medicines in the treatment of PSCI. The results show that these TCM can improve cognitive function through multiple pathways： targeted regulation of blood-brain barrier permeability， inhibition of neuroinflammation mediated by Toll like receptor 4/nuclear factor-κB， high mobility group protein B1 in ischemic brain tissue and other pathways， and activation of brain-derived neurotrophic factor/tyrosine kinase receptor B， cyclic adenosine monophosphate （cAMP）/protein kinase A/cAMP response element-binding protein and other pathways to promote synaptic plasticity. In terms of clinical application， the evidence chains of formulas based on Acorus tatarinowii and Polygala tenuifolia are relatively complete， which are the core medications to improve cognitive function and activities of daily living； Curcumae Radix has protective potential in the prodromal stage with vascular risk factors； borneol enhances the curative effect of compound prescriptions by improving blood-brain barrier function； musk is mainly used in the acute severe stage. At present， most of the mechanism evidence comes from animal experiments， high-quality large-sample clinical studies directly targeting PSCI populations are still scarce. Subsequent large-sample multicenter studies are needed in the future， combined with multi-omics and multimodal imaging techniques to further clarify its deep-seated mechanism of action.

Objective:To investigate the prognostic value of 18F-FDG PET/CT-based habitat radiomics combined with stacking ensemble learning model in overall survival (OS) of patients with hepatocellular carcinoma (HCC). Methods:A total of 136 HCC patients (114 males, 22 females, age (55.3±10.4) years) who underwent 18F-FDG PET/CT before treatment between January 2018 and January 2023 were retrospectively analyzed. Eighty-five cases from Tianjin First Central Hospital and 51 cases from Tianjin Medical University Cancer Institute and Hospital were used as a training cohort and an external validation cohort, respectively. The tumor volume of interest (VOI) was delineated on PET and CT images, and a total of 4 habitats were segmented by using the Otsu algorithm, including PET high ∩ CT low, PET low ∩ CT low, PET high ∩ CT high, and PET low ∩ CT high. After the feature selection, a total of 36 stacking ensemble learning models were established, and the optimal model was selected based on the calculated concordance index (C-index). Moreover, a combined model was developed by integrating the optimal model with clinical information. The predictive efficacy of those models was assessed by time-dependent ROC curves. Results:The model based on PET high ∩ CT high habitat radiomics features with multilayer perceptron (MLP) classifier had the highest C-index (0.770) in the external validation cohort, and it was regarded as the optimal radiomics model. The combined model incorporating this model with clinical information achieved an improved C-index of 0.815 in the external validation cohort. The combined model outperformed the other models for OS prediction, with a time-dependent AUC of 0.919, 0.900, and 0.862 in predicting the 1-year, 2-year, and 3-year OS, respectively. Conclusions:18F-FDG PET/CT-based habitat analysis outperforms traditional radiomics in OS prediction for HCC patients. By integrating the optimal habitat model with the clinical model, the combined model is able to improve the predictive efficacy.

In modern society, sugary foods have become an integral part of many people′s lives. However, excessive sugar consumption has adverse effects on both overall health and oral health, serving as a contributing factor to the global increasing incidence in oral diseases, cardiovascular diseases, cancers, obesity, and diabetes. In response to the health risks related to high-sugar diets, the World Health Organization (WHO) and World Dental Federation (FDI) have proposed initiatives and recommendations, with various governments implementing different policies and strategies to reduce sugar intake. Chinese government has also taken proactive measures. The "Healthy China Action (2019-2030)" initiative introduced by the State Council in 2019 established a crucial benchmark in limiting the average daily intake of added sugar to 25 g per person forward to 2030. Experts from Chinese Center for Disease Control and Prevention and the field of oral health have meticulously examined the impacts of sugar reduction on oral health, as well as strategies, methods, and practical considerations related to reducing sugar intake through several meeting and wrote the "Expert consensus: reducing free-sugar for caries prevention", which was subsequently reviewed and revised based on the feedback from multiple stakeholders. They have conducted thorough analyses of global trends in sugar reduction and best practices to provide valuable insights to China for crafting effective policies and strategies on sugar reduction. This consensus mainly includes the classification of free sugars, the latest scientific evidence on dental caries, recommendations from WHO on sugar-sweetened beverage taxes, nutrition labeling, advertising, food reform, adjusting supply systems, education, and promotion strategies, as well as sugar reduction actions taken by various governments around the world. Combining the actual situation in China, policy recommendations and authoritative popular science knowledge on sugar reduction for caries prevention to public are proposed to advocate for experts in multiple fields to focus on sugar reduction for caries prevention, promote the work process, and provide the scientific basis for oral health educators.

In modern society, sugary foods have become an integral part of many people′s lives. However, excessive sugar consumption has adverse effects on both overall health and oral health, serving as a contributing factor to the global increasing incidence in oral diseases, cardiovascular diseases, cancers, obesity, and diabetes. In response to the health risks related to high-sugar diets, the World Health Organization (WHO) and World Dental Federation (FDI) have proposed initiatives and recommendations, with various governments implementing different policies and strategies to reduce sugar intake. Chinese government has also taken proactive measures. The "Healthy China Action (2019-2030)" initiative introduced by the State Council in 2019 established a crucial benchmark in limiting the average daily intake of added sugar to 25 g per person forward to 2030. Experts from Chinese Center for Disease Control and Prevention and the field of oral health have meticulously examined the impacts of sugar reduction on oral health, as well as strategies, methods, and practical considerations related to reducing sugar intake through several meeting and wrote the "Expert consensus: reducing free-sugar for caries prevention", which was subsequently reviewed and revised based on the feedback from multiple stakeholders. They have conducted thorough analyses of global trends in sugar reduction and best practices to provide valuable insights to China for crafting effective policies and strategies on sugar reduction. This consensus mainly includes the classification of free sugars, the latest scientific evidence on dental caries, recommendations from WHO on sugar-sweetened beverage taxes, nutrition labeling, advertising, food reform, adjusting supply systems, education, and promotion strategies, as well as sugar reduction actions taken by various governments around the world. Combining the actual situation in China, policy recommendations and authoritative popular science knowledge on sugar reduction for caries prevention to public are proposed to advocate for experts in multiple fields to focus on sugar reduction for caries prevention, promote the work process, and provide the scientific basis for oral health educators.

Objective:To investigate the prognostic value of 18F-FDG PET/CT-based habitat radiomics combined with stacking ensemble learning model in overall survival (OS) of patients with hepatocellular carcinoma (HCC). Methods:A total of 136 HCC patients (114 males, 22 females, age (55.3±10.4) years) who underwent 18F-FDG PET/CT before treatment between January 2018 and January 2023 were retrospectively analyzed. Eighty-five cases from Tianjin First Central Hospital and 51 cases from Tianjin Medical University Cancer Institute and Hospital were used as a training cohort and an external validation cohort, respectively. The tumor volume of interest (VOI) was delineated on PET and CT images, and a total of 4 habitats were segmented by using the Otsu algorithm, including PET high ∩ CT low, PET low ∩ CT low, PET high ∩ CT high, and PET low ∩ CT high. After the feature selection, a total of 36 stacking ensemble learning models were established, and the optimal model was selected based on the calculated concordance index (C-index). Moreover, a combined model was developed by integrating the optimal model with clinical information. The predictive efficacy of those models was assessed by time-dependent ROC curves. Results:The model based on PET high ∩ CT high habitat radiomics features with multilayer perceptron (MLP) classifier had the highest C-index (0.770) in the external validation cohort, and it was regarded as the optimal radiomics model. The combined model incorporating this model with clinical information achieved an improved C-index of 0.815 in the external validation cohort. The combined model outperformed the other models for OS prediction, with a time-dependent AUC of 0.919, 0.900, and 0.862 in predicting the 1-year, 2-year, and 3-year OS, respectively. Conclusions:18F-FDG PET/CT-based habitat analysis outperforms traditional radiomics in OS prediction for HCC patients. By integrating the optimal habitat model with the clinical model, the combined model is able to improve the predictive efficacy.

Purpose To analyze the relationship between different molecular types and imaging manifestations of simultaneous bilateral breast cancer.Materials and Methods Eighty-one patients with simultaneous bilateral breast cancer confirmed by surgery and pathology in the Affiliated Hospital of Qingdao University from January 2016 to May 2022 were retrospectively analyzed,80 patients received mammography and 38 patients received MRI.Imaging features referred to the 5th edition of the breast imaging reporting and data system standards.Molecular typing was evaluated and classified according to the 2013 revised St.Gallen international expert consensus recommended the determination.The clinicopathological and imaging features of the index and contralateral breast cancer were compared,and the imaging features of different molecular types of the index and contralateral breast cancer were also compared.Results There were statistically significant differences in histological types and molecular typing between the index and contralateral cancers(x2=39.72,12.23,P＜0.05).Mammograph showed that the index cancer was mostly a mass(51.9％,40/77),while the contralateral cancer was mostly calcification(38.4％,28/73);the index cancer was mostly polymorphic calcification(68.8％,22/32),while the contralateral cancer was mostly amorphous calcification(45.2％,19/42)(x2=33.15,10.47,P＜0.05).There was a statistically significant difference in the MRI enhancement between the index cancer and the contralateral cancer(x2=6.79,P＜0.05).For contralateral cancer,mammograms showed statistically significant differences in the four molecular subtypes on tumor density,as well as MRI enhancement patterns,early enhancement degree,and time-signal intensity curve(x2=26.72,7.49,8.95,13.44,12.85,P＜0.05).There was a significant difference in the distribution of calcification among the four molecular subtypes on the X-ray of the first cancer(x2=20.15,P＜0.05).Conclusion The molecular typing and some imaging characteristics of simultaneous bilateral breast cancer are different,and some imaging characteristics can provide reference for predicting the molecular typing of simultaneous bilateral breast cancer.

Objective: To construct nomogram to predict the risk of bone metastasis in patients with non-small cell lung cancer(NSCLC). Methods: The clinical data of NSCLC patients diagnosed in the hospital were retrospectively analyzed, including the occurrence of bone metastasis, age, gender, pathological type, smoking status, PS score, TN stage, metastasis of other sites before bone metastasis, carcinoembryonic antigen(CEA) level, alpha fetoprotein(AFP) level, serum calcium(Ca2+), serum phosphorus(P), alkaline phosphatase(ALP) level, which were determined by univariate and multivariate logistic regression analysis. Receiver operating characteristic curve(ROC) and decision curve analysis were used, DCA was used to verify the accuracy and clinical benefit of the model, and nomogram was used to visualize the model. Results: Area under the ROC curve(AUC) showed that in the modeling group(n=138) and the validation group(n=92), the AUC value predicted by combined indicators(age, gender, pathological type, CEA, ALP)(modeling group=0.792, validation group=0.629) was higher than that predicted by single indicator. Conclusion The prediction model constructed in this study has good effect and can provide reference for clinical screening of high-risk patients with bone metastasis of NSCLC.

Background: Chronic exposure to elevated levels of saturated fatty acids results in pancreatic β-cell senescence. However, targets and effective agents for preventing stearic acid-induced β-cell senescence are still lacking. Although melatonin administration can protect β-cells against lipotoxicity through anti-senescence processes, the precise underlying mechanisms still need to be explored. Therefore, we investigated the anti-senescence effect of melatonin on stearic acid-treated mouse β-cells and elucidated the possible role of microRNAs in this process. Methods: β-Cell senescence was identified by measuring the expression of senescence-related genes and senescence-associated β-galactosidase staining. Gain- and loss-of-function approaches were used to investigate the involvement of microRNAs in stearic acid-evoked β-cell senescence and dysfunction. Bioinformatics analyses and luciferase reporter activity assays were applied to predict the direct targets of microRNAs. Results: Long-term exposure to a high concentration of stearic acid-induced senescence and upregulated miR-146a-5p and miR- 8114 expression in both mouse islets and β-TC6 cell lines. Melatonin effectively suppressed this process and reduced the levels of these two miRNAs. A remarkable reversibility of stearic acid-induced β-cell senescence and dysfunction was observed after silencing miR-146a-5p and miR-8114. Moreover, V-maf musculoaponeurotic fibrosarcoma oncogene homolog A (Mafa) was verified as a direct target of miR-146a-5p and miR-8114. Melatonin also significantly ameliorated senescence and dysfunction in miR-146a-5pand miR-8114-transfected β-cells. Conclusion These data demonstrate that melatonin protects against stearic acid-induced β-cell senescence by inhibiting miR-146a- 5p and miR-8114 and upregulating Mafa expression. This not only provides novel targets for preventing stearic acid-induced β-cell dysfunction, but also points to melatonin as a promising drug to combat type 2 diabetes progression.

Objective:To comparative analyze mammographic and clinicopathological findings of ductal carcinoma in situ (DCIS) and DCIS with microinvasion (DCISM), and to investigate the predictive factors for DCISM.Methods:A total of 626 patients with DCISM and DCIS confirmed by surgery and pathology in the Affiliated Hospital of Qingdao University from January 2016 to July 2020 were collected and underwent preoperative mammography. The X-ray findings of DCISM and DCIS patients were classified and diagnosed according to the Breast Imaging Reporting and Data System (BI-RADS) criteria. The differences in clinicopathological and radiographic findings between DCISM and DCIS patients were analyzed using χ 2 test or Fisher exact test. The risk factors of DCISM were evaluated by using univariate and multivariate binary logistic regression analysis. Results:Among the 626 cases, 171 were diagnosed as DCISM, 455 were diagnosed as DCIS. Large diameter (≥2.7 cm), high nuclear grade, comedo type, axillary lymph node metastasis, high Ki67 proliferation index, negativity of estrogen receptor and progesterone receptor were found to be predictors of DCISM in the univariate analysis (all P<0.05). And large diameter (≥2.7 cm)(OR 2.229,95% CI 1.505-3.301, P<0.001), high nuclear grade(OR 1.711,95%CI 1.018-2.875, P=0.043) and axillary lymph node metastasis(OR 4.140,95% CI 1.342-12.773, P=0.013) were found to be independent predictors of DCISM in the multivariate analysis (all P<0.05). Mammographically, the lesion types, the presence and distribution of calcification were statistically significant between DCIS and DCISM patients (χ 2=17.42, 9.65, 9.10, P<0.05). Up to 17.6% (80/455) of DCIS were occult leisions, and DCISM showed more lesions with calcification in mass, asymmetry, and architectural distortion (49.1%, 84/171). Grouped calcifications were usually associated with DCIS (41.5%, 120/289), while regional calcification were commonly found in DCISM (35.9%, 47/131). Conclusions:Lesions with calcification and regional calcification were more likely associated with DCISM on mammography. Large diameter (≥2.7 cm), high nuclear grade and axillary lymph node metastasis were found to be independent predictors of DCISM.

Objective:To evaluate the diagnostic value of digital breast tomosynthesis (DBT) and digital mammography (DM) for radial lesions.Methods:The data of 76 patients (78 lesions) with radial lesions confirmed by operation and pathology on DBT between December 2016 and May 2020 in the Affiliated Hospital of Qingdao University were analyzed retrospectively. Taking pathological results as the gold standard, 78 lesions were divided into benign radial lesions ( n=46) and malignant radial lesions ( n=32), and their DBT features were compared. According to the standard of breast imaging report and data system (BI-RADS), the wheel-spoke structure, central density, overall size, central size and surrounding burr length of the two groups of radial lesions were compared on DBT. Results:The detection rates of DM and DBT for 78 radial lesions were 59.0% (46/78) and 100% (78/78), the difference had statistically significant ( P<0.05). The diagnostic accuracy rates of DM and DBT for 78 radial lesions was 65.2% (30/46) and 74.4% (58/78), the difference had no statistically significant ( P>0.05). The sensitivity, specificity, misdiagnosis rates, missed diagnosis rates of DM and DBT in the diagnosis of malignant radial lesions were 64.3%(18/28) and 84.4%(27/32), 66.7% (12/18) and 67.4%(31/46), 33.3%(6/18) and 32.6%(15/46), 35.7%(10/28) and 15.6%(5/32), respectively. The difference was not statistically significant ( P>0.05). There were significant differences in the overall size of lesions [18.0 (14.9, 29.2) mm, 26.5 (20.2, 34.9) mm], central size [3.5 (2.5, 4.5) mm, 4.5 (3.5, 5.5) mm] and peripheral burr length [(11±6) mm, (13±4) mm] between benign and malignant radial lesions on DBT ( P<0.05). When the central size of the lesion was 5 mm, there was significant difference in the distribution of benign and malignant radial lesions ( P<0.05), and when the overall size of the lesion was 2 cm, there was significant difference in the distribution of benign and malignant radial lesions ( P<0.05). Conclusion:DBT can improve the detection and diagnosis accuracy of radial lesions, and provide an important basis for clinicians to make surgical treatment decisions.