Traditional Chinese medicine (TCM) exerts integrative effects on complex diseases owing to the characteristics of multiple components with multiple targets. However, the syndrome-based system of diagnosis and treatment in TCM can easily lead to bias because of varying medication preferences among physicians, which has been a major challenge in the global acceptance and application of TCM. Therefore, a standardized TCM prescription system needs to be explored to promote its clinical application. In this study, we first developed a gradient weighted disease-target-herbal ingredient-herb network to aid TCM formulation. We tested its efficacy against intracerebral hemorrhage (ICH). First, the top 100 ICH targets in the GeneCards database were screened according to their relevance scores. Then, SymMap and Traditional Chinese Medicine Systems Pharmacology (TCMSP) databases were applied to find out the target-related ingredients and ingredient-containing herbs, respectively. The relevance of the resulting ingredients and herbs to ICH was determined by adding the relevance scores of the corresponding targets. The top five ICH therapeutic herbs were combined to form a tailored TCM prescriptions. The absorbed components in the serum were detected. In a mouse model of ICH, the new prescription exerted multifaceted effects, including improved neurological function, as well as attenuated neuronal damage, cell apoptosis, vascular leakage, and neuroinflammation. These effects matched well with the core pathological changes in ICH. The multi-targets-directed gradient-weighting strategy presents a promising avenue for tailoring precise, multipronged, unbiased, and standardized TCM prescriptions for complex diseases. This study provides a paradigm for advanced achievements-driven modern innovation in TCM concepts.

Objective:To analyze the value of shear wave elastography (SWE) in evaluating carotid artery elasticity in type 2 diabetes mellitus (T2DM) patients with nonalcoholic fatty liver disease (NAFLD).Methods:A total of 98 T2DM patients diagnosed in the Second Affiliated Hospital of Dalian Medical University were selected and divided into three groups according to the results of liver ultrasound examination. 35 patients without NAFLD were in group A, 33 patients with mild NAFLD were in group B, and 30 patients with moderate to severe NAFLD were in group C. All selected individuals showed no plaque formation on carotid ultrasound examination. Left carotid artery intima-media thickness (IMT), carotid artery systolic diameter (Ds), carotid artery diastolic diameter (Dd), and peak systolic velocity (PSV) were measured using conventional two-dimensional and M-mode ultrasound. The stiffness coefficient (β) was obtained through calculation. SWE was used to measure the mean longitudinal modulus of elasticity (MEmean), mean minimum modulus of elasticity (MEmin), and mean maximum modulus of elasticity (MEmax) of the left carotid artery at the end of diastole.Results:There was no statistically significant difference in Ds, Dd, and PSV among the three groups (all P>0.05). Compared with group A and group B, group C had significantly higher IMT, β, MEmean, MEmax, and MEmin (all P<0.05). Compared with the group A, the group B had higher levels of MEmean, MEmax, and MEmin (all P<0.05), there was no statistically significant difference in IMT and β between the groups (all P>0.05). Correlation analysis showed that MEmax, MEmean, and MEmin in each group were positively correlated with β ( r=0.537, 0.543, 0.525, P<0.01), and also positively correlated with HbA 1c ( r=0.456, 0.483, 0.438, P<0.01), but not with IMT (all P>0.05). The intra observer Intraclass correlation coefficient (ICC) of MEmax, MEmean and MEmin measured by SWE was 0.847-0.887, and the inter observer ICC was 0.791-0.934, indicating a good repeatability. Conclusions:SWE can quantitatively evaluate the elasticity of the carotid artery in patients with T2DM and NAFLD.

Cancer stem cells (CSCs) are thought to drive uncontrolled tumor growth, and the existence of CSCs has recently been proven by direct experimental evidence, including tracing cell lineages within a growing tumor. However, CSCs must be analyzed in additional cancer types. Cancer stem cell-like cells (CSCLCs) are a good alternative system for the study of CSCs, which hold great promise for clinical applications. OCT4, NANOG, and SOX2 are three basic transcription factors that are expressed in both CSCLCs and embryonic stem cells (ESCs). These transcription factors play critical roles in maintaining the pluripotence and self-renewal characteristics of CSCLCs and ESCs. In this review, we discuss the aberrant expression, isoforms, and pseudogenes of OCT4, NANOG, and SOX2 in the CSCLC niche, which contribute to the major differences between CSCLCs and ESCs. We also highlight an anticancer therapy that involves killing specific cancer cells directly by repressing the expression of OCT4, NANOG, or SOX2. Importantly, OCT4, NANOG, and SOX2 provide great promise for clinical applications because reducing their expression or blocking the pathways in which they function may inhibit tumor growth and turn-off the cancer "switch." In the future, a clear understanding of transcription factor regulation will be essential for elucidating the roles of OCT4, NANOG, and SOX2 in tumorigenesis, as well as exploring their use for diagnostic and therapeutic purposes.
Animals ; Embryonic Stem Cells ; metabolism ; Homeodomain Proteins ; metabolism ; Humans ; Nanog Homeobox Protein ; Neoplasms ; metabolism ; pathology ; Neoplastic Stem Cells ; metabolism ; Octamer Transcription Factor-3 ; metabolism ; SOXB1 Transcription Factors ; metabolism ; Signal Transduction

Objective To evaluate early diagnositic value of thyroid transcription factor-1(TTF-1) for patients with lung cancer.Method Ninety-nine lung cancer tissue samples and 21 non-neoplastic lung tissue samples were collected from surgical resections.TTF-1 expressions in the above samples were assessed by micro array combined with immunohisto-chemistry assay.According to percentage of reactive cells,tissue immunoreactivity for TTF-1 were categorized into 3 groups :negative(