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To investigate the effect mechanism of electroacupuncture based on the AMP-activated protein kinase (AMPK) /acetyl-CoA carboxylase (ACC) signaling pathway to improve glycolipid metabolism disorders in db/db mice. 10 db/m mice with normal genotype were used as the normal control group without diabetes (Con), and 30 db/db mice were divided randomly into three groups: Pathological model mice (Mod), Acupuncture + ACC antagonist group (Acu + ACC), and Acupuncture + AMPK antagonist group (Acu + AMPK). Con and Mod did not receive any special treatment, only as a control observation. The latter two groups of mice received electroacupuncture treatment for 4 weeks. Mouse triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol(LDL-C), and cholesterin(CHO) levels were detected by colorimetric assay. Enzyme-linked immunoassay (ELISA) was used to detect insulin(INS) levels. Liver histopathologic changes and hepatic glycogen synthesis were observed by HE and PAS staining. The mRNA and protein expression of insulin receptor substrate-1(IRS1), Phosphatidylinositol 3-kinase(PI3K), protein kinase B (AKT), AMPK, and ACC were detected by Western blot and qRT-PCR.The results show that compared with Mod, TG, LDL, CHO, and INS levels of Acu + AMPK and Acu + ACC mice were significantly reduced (P < 0.05), and the HDL levels were significantly increased (P < 0.05), the steatotic degeneration of mice hepatocytes was reduced to different degrees, and the hepatocyte glycogen particles were increased, and the latter two groups had a decrease in AKT, ACC mRNA expression was reduced (P < 0.05), PI3K protein expression was increased, and AKT and ACC protein expression was reduced (P < 0.05), in addition, protein expression of AMPK was increased and IRS1 protein expression was reduced in Acu + ACC (P < 0.05). The study showed that electroacupuncture improves glucose-lipid metabolism disorders in db/db mice, and this mechanism is related to the AMPK/ACC signaling pathway. [ABSTRACT FROM AUTHOR]

Anoikis is proved to play a crucial role in the development of cancers. However, the impact of anoikis on the prognosis of bladder cancer (BLCA) is currently unknown. Thus, this study aimed to find potential effect of anoikis in BLCA. The Cancer Genome Atlas (TCGA)-BLCA and GSE13507 cohorts were downloaded from TCGA and the Gene Expression Omnibus (GEO) databases, respectively. Differentially expressed genes (DEGs) were screened between BLCA and normal groups, which intersected with anoikis-related genes to yield anoikis-related DEGs (AR DEGs). Univariate COX, rbsurv, and multivariate COX analyses were adopted in order to build a prognostic risk model. The differences of risk score in the different clinical subgroups and the relevance between survival rate and clinical characteristics were explored as well. Finally, chemotherapy drug sensitivity in different risk groups was analyzed. In total, 78 AR DEGs were acquired and a prognostic signature was build based on the 6 characteristic genes (CALR, FASN, CSPG4, HGF, INHBB, SATB1), where the patients of low-risk group had longer survival time. The survival rate of BLCA patients was significantly differential in different groups of age, stage, smoking history, pathologic-T, and pathologic-N. The IC50 of 56 drugs showed significant differences between 2 risk groups, such as imatinib, docetaxel, and dasatinib. At last, the results of real time quantitative-polymerase chain reaction (RT-qPCR) demonstrated that the expression trend of CALR, HGF, and INHBB was consistent with the result obtained previously based on public databases. Taken together, this study identified 6 anoikis-related characteristic genes (CALR, FASN, CSPG4, HGF, INHBB, SATB1) for the prognosis of BLCA patients, providing a scientific reference for further research on BLCA., Competing Interests: The authors declare there is no potential conflict of interests., (Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.)

This paper presents the development of a fiber-optic-based fluorescence detection system for multi-scale monitoring of drug distribution in living animals. The integrated system utilized dual laser sources at the wavelengths of 488 nm and 650 nm and three photomultiplier channels for multi-color fluorescence detection. The emission spectra of fluorescent substances were tracked using the time-resolved fluorescence spectroscopy module to continuously monitor their blood kinetics. The fiber bundle, consisting of 30,000 optic filaments, was designed for wide-field mesoscopic imaging of the drug's interactions within organs. The inclusion of a gradient refractive index (GRIN) lens within the setup enabled fluorescence confocal laser scanning microscopy to visualize the drug distribution at the cellular level. The system performance was verified by imaging hepatic and renal tissues in mice using cadmium telluride quantum dots (CdTe QDs) and R3. By acquiring multi-level images and real-time data, our integrated system underscores its potential as a potent tool for drug assessment, specifically within the realms of pharmacokinetic and pharmacodynamic investigations., Competing Interests: The authors declare no conflicts of interests., (© 2024 Optica Publishing Group.)