[Clinical application of perforator-based propeller flaps in repair of hand wound].

Objective: To investigate the effectiveness of the perforator-based propeller flaps (PPFs) based on digital artery (DA) and dorsal metacarpal artery (DMA) in repairing hand wounds. Methods: The clinical data of 45 patients with hand wounds between January 2018 and March 2023 were retrospectively analyzed. There were 27 males and 18 females with an average age of 41.2 years (range, 14-72 years). The causes of injury included twist injury in 15 cases, crush injury in 19 cases, and cut injury in 11 cases. The injured parts included 32 cases of digits, 10 cases of dorsal hand, and 3 cases of palmar hand, all of which had tendon, joint, and bone exposure. The time from injury to operation ranged from 2 to 8 hours (mean, 4.3 hours). The wound sizes after debridement ranged from 1.8 cm×1.0 cm to 5.0 cm×3.5 cm. Twenty-eight cases were repaired by the PPFs based on DA and 17 cases were repaired by the PPFs based on DMA. The flap size ranged from 2.5 cm×1.1 cm to 8.5 cm×4.0 cm. The defects of the donor sites in 14 patients were closed directly and the defects in the left 31 patients were resurfaced with free full-thickness skin graft from the proximal medial forearm. Results: All the flaps survived after operation. Two cases of the PPF based on DA and 1 case of the PPF based on DMA underwent partially blisters at the distal end and healed after dressing change. The incisions in the donor site healed by first intention and the skin grafts survived. All patients were followed up 10-33 months, with a mean of 15.4 months. At last follow-up, the static two-point discrimination of the PPFs based on DA and DMA were 4-14 mm and 8-20 mm with the averages of 8.1 mm and 13.3 mm, respectively. According to the Michigan Hand Outcomes Questionnaire, 20 patients were very satisfied with the appearance of the PPF based on DA and 8 patients were satisfied; 8 patients were very satisfied with the appearance of the PPF based on DMA and 9 patients were satisfied. Based on the Vancouver Scar Scale (VSS), the appearance scores of the donor site of the PPFs based on DA and DMA were 2-7 and 4-9, with the averages of 4.2 and 6.1, respectively. Conclusion: The two kinds of PPFs are reliable in blood supply and easy to harvest, which provide a good method for emergency repair of small and medium area wounds in the hand.

Probucol mitigates high-fat diet-induced cognitive and social impairments by regulating brain redox and insulin resistance.

Probucol has been utilized as a cholesterol-lowering drug with antioxidative properties. However, the impact and fundamental mechanisms of probucol in obesity-related cognitive decline are unclear. In this study, male C57BL/6J mice were allocated to a normal chow diet (NCD) group or a high-fat diet (HFD) group, followed by administration of probucol to half of the mice on the HFD regimen. Subsequently, the mice were subjected to a series of behavioral assessments, alongside the measurement of metabolic and redox parameters. Notably, probucol treatment effectively alleviates cognitive and social impairments induced by HFD in mice, while exhibiting no discernible influence on mood-related behaviors. Notably, the beneficial effects of probucol arise independently of rectifying obesity or restoring systemic glucose and lipid homeostasis, as evidenced by the lack of changes in body weight, serum cholesterol levels, blood glucose, hyperinsulinemia, systemic insulin resistance, and oxidative stress. Instead, probucol could regulate the levels of nitric oxide and superoxide-generating proteins, and it could specifically alleviate HFD-induced hippocampal insulin resistance. These findings shed light on the potential role of probucol in modulating obesity-related cognitive decline and urge reevaluation of the underlying mechanisms by which probucol exerts its beneficial effects.

GLPanoDepth: Global-to-Local Panoramic Depth Estimation.

Depth estimation is a fundamental task in many vision applications. With the popularity of omnidirectional cameras, it becomes a new trend to tackle this problem in the spherical space. In this paper, we propose a learning-based method for predicting dense depth values of a scene from a monocular omnidirectional image. An omnidirectional image has a full field-of-view, providing much more complete descriptions of the scene than perspective images. However, fully-convolutional networks that most current solutions rely on fail to capture rich global contexts from the panorama. To address this issue and also the distortion of equirectangular projection in the panorama, we propose Cubemap Vision Transformers (CViT), a new transformer-based architecture that can model long-range dependencies and extract distortion-free global features from the panorama. We show that cubemap vision transformers have a global receptive field at every stage and can provide globally coherent predictions for spherical signals. As a general architecture, it removes any restriction that has been imposed on the panorama in many other monocular panoramic depth estimation methods. To preserve important local features, we further design a convolution-based branch in our pipeline (dubbed GLPanoDepth) and fuse global features from cubemap vision transformers at multiple scales. This global-to-local strategy allows us to fully exploit useful global and local features in the panorama, achieving state-of-the-art performance in panoramic depth estimation.