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Objective: To investigate the effects and possible mechanisms of caffeic acid phenethyl ester (CAPE) on the replication, amplification, and fibre formation of prions (PrPSc). Methods: The CCK8 assay was used to detect the cell viability of the prion-infected cell model SMB-S15 after CAPE treatment for 3 days and 7 days and the maximum safe concentration of CAPE for SMB-S15 was obtained. The cells were treated with a concentration within a safe range, and the content of PrPSc in the cells before and after CAPE treatment was analyzed by western blot. Protein misfolding cycle amplification (PMCA) and western blot were used to assess changes in PrPSc level in amplification products following CAPE treatment. Real-time-quaking induced conversion assay (RT-QuIC) technology was employed to explore the changes in fibril formation before and after CAPE treatment. The binding affinity between CAPE and murine recombinant full-length prion protein was determined using a molecular interaction assay. Results: CCK8 cell viability assay results demonstrated that treatment with 1 µmol/L CAPE for 3 and 7 days did not exhibit statistically significant differences in cell viability compared to the control group (all P<0.05). However, when the concentration of CAPE exceeded 1 µmol/L, a significant reduction in cell viability was observed in cells treated with CAPE for 3 and 7 days, compared to the control group (all P<0.05). Thus, 1 µmol/L was determined as the maximum safe concentration of CAPE treatment for SMB-S15 cells. The western blot results revealed that treatment with CAPE for both 3 and 7 days led to a detectable reduction in the levels of PrPSc in SMB-S15 cells (all P<0.05). The products of PMCA experiments were assessed using western blot. The findings revealed a significant decrease in the levels of PrPSc (relative grey value) in the PMCA amplification products of adapted-strains SMB-S15, 139A, and ME7 following treatment with CAPE, as compared to the control group (all P<0.05). The RT-QuIC experimental results demonstrated a reduction in fibril formation (as indicated by ThT peak values) in CAPE-treated mouse-adapted strains 139A, ME7, and SMB-S15, as well as in SMB-S15 cells infected with prions. Furthermore, CAPE exhibited varying degrees of inhibition towards different seed fibrils formation, with statistically significant differences observed (all P<0.05). Notably, CAPE exhibited a more pronounced inhibitory effect on ME7 seed fibrils. Molecular interaction analyses demonstrated significant binding between CAPE and murine recombinant prion protein, and the association constant was (2.92±0.41)×10-6 mol/L. Conclusions: CAPE inhibits PrPSc replication, amplification, and fibril formation in vitro possibly due to specific interactions with the prion protein at the molecular level.
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Ácidos Cafeicos , Álcool Feniletílico , Animais , Ácidos Cafeicos/farmacologia , Camundongos , Álcool Feniletílico/análogos & derivados , Álcool Feniletílico/farmacologia , Sobrevivência Celular/efeitos dos fármacos , Proteínas PrPSc/metabolismo , Príons , Linhagem Celular , Proteínas Priônicas/metabolismoRESUMO
OBJECTIVE: To investigate the effect of Yigong San (YGS) on learning and memory abilities of rats with lipopolysaccharide (LPS)induced cognitive decline and explore its possible mechanism in light of intestinal microbiota. METHODS: Forty SD rats were randomly divided into control group, model group, donepezil (1.3 mg/kg) group, and high-dose (5.25 g/kg) and low-dose (2.63 g/kg) YGS treatment groups. After 24 days of treatment with the corresponding drugs or water by gavage, the rats in the latter 4 groups received an intraperitoneal injection of LPS (0.5 mg/kg) to establish models of Alzheimer's disease (AD). Water maze test and HE staining were used to evaluate the changes in learning and memory abilities and pathomorphology of the hippocampus. The changes in gut microbial species of the rats were analyzed with 16S rRNA sequencing, and the levels of IL-6, TNF-α, and IL-1ß in the brain tissue and serum were detected using ELISA. RESULTS: Compared with the AD model group, the YGS-treated rats showed significantly shortened escape latency on day 5 after modeling, reduced neuronal degeneration and necrosis in the hippocampus, lowered pathological score of cell damage, and decreased levels IL-6, TNF-α and IL-1ß in the brain tissue and serum. The YGS-treated rats showed also obvious reduction of Alpha diversity indicators (ACE and Chao1) of intestinal microbiota with significantly increased abundance of Prevotellaceae species at the family level and decreased abundance of Desulfovibrionaceae, which were involved in such metabolic signaling pathways as cell community prokaryotes, membrane transport, and energy metabolism. CONCLUSION: YGS improves learning and memory abilities and hippocampal pathomorphology in AD rat models possibly by regulating the abundance of intestinal microbial species such as Prevotellaceae to affect the metabolic pathways for signal transduction, cofactors, and vitamin metabolism.
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Doença de Alzheimer , Disfunção Cognitiva , Modelos Animais de Doenças , Medicamentos de Ervas Chinesas , Microbioma Gastrointestinal , Hipocampo , Ratos Sprague-Dawley , Animais , Doença de Alzheimer/terapia , Ratos , Disfunção Cognitiva/terapia , Disfunção Cognitiva/etiologia , Medicamentos de Ervas Chinesas/uso terapêutico , Medicamentos de Ervas Chinesas/farmacologia , Hipocampo/metabolismo , Memória , Aprendizagem em Labirinto , Lipopolissacarídeos , Fator de Necrose Tumoral alfa/metabolismo , Fator de Necrose Tumoral alfa/sangue , Masculino , Interleucina-6/metabolismo , Interleucina-6/sangue , Interleucina-1beta/metabolismoRESUMO
Quantitative analysis of irregular anatomical structures is crucial in oral medicine, but clinicians often typically measure only several representative indicators within the structure as references. Deep learning semantic segmentation offers the potential for entire quantitative analysis. However, challenges persist, including segmentation difficulties due to unclear boundaries and acquiring measurement landmarks for clinical needs in entire quantitative analysis. Taking the palatal alveolar bone as an example, we proposed an artificial intelligence measurement tool for the entire quantitative analysis of irregular dental structures. To expand the applicability, we have included lightweight networks with fewer parameters and lower computational demands. Our approach finally used the lightweight model LU-Net, addressing segmentation challenges caused by unclear boundaries through a compensation module. Additional enamel segmentation was conducted to establish a measurement coordinate system. Ultimately, we presented the entire quantitative information within the structure in a manner that meets clinical needs. The tool achieved excellent segmentation results, manifested by high Dice coefficients (0.934 and 0.949), intersection over union (0.888 and 0.907), and area under the curve (0.943 and 0.949) for palatal alveolar bone and enamel in the test set. In subsequent measurements, the tool visualizes the quantitative information within the target structure by scatter plots. When comparing the measurements against representative indicators, the tool's measurement results show no statistically significant difference from the ground truth, with small mean absolute error, root mean squared error, and errors interval. Bland-Altman plots and intraclass correlation coefficients indicate the satisfactory agreement compared with manual measurements. We proposed a novel intelligent approach to address the entire quantitative analysis of irregular image structures in the clinical setting. This contributes to enabling clinicians to swiftly and comprehensively grasp structural features, facilitating the design of more personalized treatment plans for different patients, enhancing clinical efficiency and treatment success rates in turn.
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Inteligência Artificial , Medicina Bucal , Humanos , Esmalte Dentário , Processamento de Imagem Assistida por ComputadorRESUMO
In recent years, with the development of artificial intelligence, deep learning has been gradually applied to clinical treatment and research. It has also found its way into the applications in radiotherapy, a crucial method for cancer treatment. This study summarizes the commonly used and latest deep learning algorithms (including transformer, and diffusion models), introduces the workflow of different radiotherapy, and illustrates the application of different algorithms in different radiotherapy modules, as well as the defects and challenges of deep learning in the field of radiotherapy, so as to provide some help for the development of automatic radiotherapy for cancer.
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Aprendizado Profundo , Neoplasias , Humanos , Inteligência Artificial , Neoplasias/radioterapia , Algoritmos , Planejamento da Radioterapia Assistida por Computador/métodosRESUMO
Continuous glucose monitors (CGMs) are an increasingly prevalent electronic medical device utilized by patients with diabetes, offering several advantages over "finger sticks". There is a resulting rise in patients with CGMs seen in radiation oncology clinics. Manufacturers specify that CGMs should not be exposed to radiation (both diagnostic and therapeutic), due to risk of device damage, creating challenges for patients and providers. We present a workflow for management of CGMs in radiation oncology patients, beginning with systematic screening by providers and staff. We propose options for CGM management together with the device prescriber, including removal of the CGM or keeping it in place with periodic finger sticks to confirm accuracy, and offer guidance to radiation oncology providers and staff.
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OBJECTIVE: To investigate the seroprevalence of Toxoplasma gondii infections among patients with hematological diseases, so as to provide insights into improving the prognosis and quality of life among patients with hematological diseases. METHODS: A total of 240 patients with hematological diseases (including 170 patients with hematological tumors and 70 patients with non-tumor hematological diseases) admitted to The Affiliated Hospital of Putian University during the period from January 1, 2021 through October 10, 2023 and 500 healthy volunteers in the hospital during the same period were enrolled. Subjects' demographics and serum samples were collected, and serum specific IgG and IgM antibodies against T. gondii were detected using the chemiluminescence assay, with any of a positive IgG or IgM antibody defined as a positive T. gondii infection. The seroprevalence of specific IgG and IgM antibodies against T. gondii was compared between patients with hematological diseases and healthy volunteers. RESULTS: The mean age (F = 2.034, P > 0.05) and gender distribution (χ2 = 0.462, P > 0.05) were comparable among patients with hematological tumors, patients with non-tumor hematological diseases and healthy volunteers, and there was no significant difference in the proportion of history of cat or dog contacts between patients with hematological diseases and healthy volunteers (χ2 = 0, P > 0.05). The seroprevalence of anti-T. gondii antibody was significantly higher among patients with hematological diseases than among healthy volunteers (15.8% vs. 0.6%; χ2 = 71.902, P < 0.01), and there was a significant difference in the seroprevalence of anti-T. gondii antibody among patients with hematological tumors (18.2%), patients with non-tumor hematological diseases (10.0%) and healthy volunteers (χ2 = 78.327, P < 0.01). The seroprevalence of anti-T. gondii antibody was significantly higher among patients with hematological tumors and non-tumor hematological diseases than among healthy volunteers (both P values < 0.05), while no significant difference was seen in the seroprevalence of anti-T. gondii antibody between patients with hematological tumors and non-tumor hematological diseases (P > 0.05). In addition, the proportion of history of cat or dog contacts was significantly higher among patients with hematological diseases that were positive for serum anti-T. gondii anti-body than among those negative for serum anti-T. gondii antibody (21.1% vs. 5.4%; χ2 = 8.653, P < 0.05). CONCLUSIONS: There is a high seroprevalene rate of T. gondii infections among hematological diseases, which is significantly greater than that among healthy volunteers.
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Doenças Hematológicas , Neoplasias Hematológicas , Toxoplasma , Humanos , Animais , Cães , Estudos Soroepidemiológicos , Qualidade de Vida , Imunoglobulina G , Anticorpos Antiprotozoários , Imunoglobulina M , Doenças Hematológicas/complicações , Doenças Hematológicas/epidemiologia , Fatores de RiscoRESUMO
Liver cirrhosis is one of the most common diseases of Chinese patients. Herein, we report the high expression of a newly identified histone 3 lysine 4 demethylase, retinoblastoma binding protein 2 (RBP2), and its role in liver cirrhosis in humans. The siRNA knockdown of RBP2 expression in hepatic stellate cells (HSCs) reduced levels of α-smooth muscle actin (α-SMA) and vimentin and decreased the proliferation of HSCs; and overexpression of RBP2 increased α-SMA and vimentin levels. Treatment with transforming growth factor β (TGF-β) upregulated the expression of RBP2, α-SMA, and vimentin, and the siRNA knockdown of RBP2 expression attenuated TGF-β-mediated upregulation of α-SMA and vimentin expression and HSC proliferation. Furthermore, RBP2 was highly expressed in cirrhotic rat livers. Therefore, RBP2 may participate in the pathogenesis of liver cirrhosis by regulating the expression of α-SMA and vimentin. RBP2 may be a useful marker for the diagnosis and treatment of liver cirrhosis.