ABSTRACT
Background: Dandouchi polypeptide (DDCP) is derived from Semen Sojae Praeparatum (Dandouchi in Chinese), a fermented product of Glycine max (L.) Merr. Semen Sojae Praeparatum is widely used in the food industry for its unique flavor and nutritional value, and DDCP, as its derivative, also shows potential health benefits in food applications. However, the specific active substances responsible for Semen Sojae Praeparatum and the underlying mechanisms involved have not been fully elucidated. Methods: DDCP was extracted from Semen Sojae Praeparatum using enzymes, and its antidepressant effects were tested in chronic unpredictable mild stress (CUMS)-induced mice. Immunohistochemistry, immunofluorescence, and western blotting were used to analyze neurogenesis and the nuclear factor κB (NF-κB) pathway. Moreover, an adeno-associated virus (AAV) shRNA was used to induce tripartite motif-containing 67 (TRIM67) deficiency to examine the function of TRIM67 in the neuroprotective effects of DDCP in depressive disorders. Results: DDCP reduced depressive behaviors in CUMS mice and the expression of proinflammatory markers in the hippocampus. DDCP promoted neurogenesis and modulated the TRIM67/NF-κB pathway, with TRIM67 deficiency impairing its antidepressant effect. Conclusions: This research revealed that DDCP has a protective effect on countering depression triggered by CUMS. Notably, TRIM67 plays a crucial role in mitigating depression through DDCP, positioning DDCP as a potential therapeutic option for treating depressive disorders.
ABSTRACT
Differential phase-contrast interior tomography allows reconstruction of a refractive index distribution over a region of interest (ROI) for visualization and analysis of structures inside a large biological specimen. In the imaging mode, x-ray scanning only targets an ROI in an object and a narrow beam passes through the object, allowing a significant reduction of both radiation dose and system cost. Inspired by recently developed compressive sensing theory, in a numerical analysis framework we show that accurate interior reconstruction can be achieved on an ROI from truncated differential projection data through the ROI via the total variation minimization, assuming a piecewise constant distribution of the refractive indices in the ROI. Then, we develop a practical iterative algorithm for such an interior reconstruction and perform numerical experiments to demonstrate the feasibility of the proposed approach.
Subject(s)
Tomography, X-Ray Computed/methods , Humans , Image Processing, Computer-Assisted , Phantoms, Imaging , Radiography, Thoracic , X-Ray DiffractionABSTRACT
OBJECTIVE: To investigate the detection rate of malnutrition among post-stroke patients in community hospitals and unravel the relevant factors that precipitate malnutrition after stroke. METHODS: Based on 438 post-stroke patients who were admitted in community hospitals, we examined the demographic characteristics, the nutritional indices and the possible malnutrition related factors through a cross-sectional study. RESULTS: The detection rate of malnutrition among post-stroke patients was 52.7%. Group comparison through multivariate logistic regression analysis showed that there was a higher malnutrition detection rate in the post-stroke patients with multiple stroke attacks (three stroke attackes and above, OR = 11.00, 95%CI 1.14 - 106.34), higher NIHSS scores (group with NIHSS >/= 15, OR = 7.09, 95%CI 2.90 - 17.36), higher modified Rankin scales (group mRS 4 - 5, OR = 15.77, 95%CI 6.61 - 37.59) (trend test P < 0.0001). The risk of malnutrition was also correlated with the post-stroke depression, poorer family care, no early-stage rehabilitation, history of malignant tumors and severe alcoholism. CONCLUSIONS: There is a high detection rate of malnutrition among post-stroke patients in community hospitals. There are many factors related to malnutrition among post-stroke patients in the community. More attention to controllable influencing factors would improve the prognosis of post-stroke patients.
