FGF23 alleviates neuronal apoptosis and inflammation, and promotes locomotion recovery via activation of PI3K/AKT signalling in spinal cord injury.

Fibroblast growth factor 23 (FGF23) regulates neuronal morphology, synaptic growth and inflammation; however, its involvement in spinal cord injury (SCI) remains unclear. Therefore, the present study aimed to investigate the effect of FGF23 on neuronal apoptosis, inflammation and locomotion recovery, as well as its underlying mechanism in experimental SCI models. Primary rat neurons were stimulated with H2O2 to establish an in vitro model of SCI and were then transfected with an FGF23 overexpression (oeFGF23) or short hairpin RNA (shFGF23) adenovirus-associated virus and treated with or without LY294002 (a PI3K/AKT inhibitor). Subsequently, an SCI rat model was constructed, followed by treatment with oeFGF23, LY294002 or a combination of the two. FGF23 overexpression (oeFGF23 vs. oeNC) decreased the cell apoptotic rate and cleaved-caspase3 expression, but increased Bcl-2 expression in H2O2-stimulated neurons, whereas shFGF23 transfection (shFGF23 vs. shNC) exhibited the opposite effect (all P<0.05). Furthermore, FGF23 overexpression (oeFGF23 vs. oeNC) could activate the PI3K/AKT signalling pathway, whereas treatment with the PI3K/AKT inhibitor (LY294002) (oeFGF23 + LY294002 vs. LY294002) attenuated these effects in H2O2-stimulated neurons (all P<0.05). In SCI model rats, FGF23 overexpression (oeFGF23 vs. oeNC) reduced the laceration and inflammatory cell infiltration in injured tissue, decreased TNF-α and IL-1ß levels, and improved locomotion recovery (all P<0.05); these effects were attenuated by additional administration of LY294002 (oeFGF23 + LY294002 vs. LY294002) (all P<0.05). In conclusion, FGF23 alleviated neuronal apoptosis and inflammation, and promoted locomotion recovery via activation of the PI3K/AKT signalling pathway in SCI, indicating its potential as a treatment option for SCI; however, further studies are warranted for validation.

Efficacy of Intramedullary Nailing in the Treatment of Comminuted Proximal Humeral Fractures and Its Influence on Shoulder Joint Function Recovery.

In this paper, we have aimed to elucidate the therapeutic effect of intramedullary nailing (IMN) in treating comminuted proximal humeral fractures (CPHFs) and its influence on the recovery of shoulder joint function. For this purpose, 60 cases with CPHFs were selected, particularly from January 2020 to October 2021. In these cases, 28 cases were treated with a locking proximal humeral plate (LPHP) and assigned to the control (Con) group and the remaining 32 patients were treated with IMN and included in the research (Res) group. The therapeutic effect, surgical indicators, total complications, visual analogue scale (VAS) score, and postoperative shoulder joint function score were compared between the two arms. We observed that compared with the Con group, the effective rate in the Res group was higher while the operation time, intraoperative blood loss, and fracture healing time were shorter, the overall complication rate and VAS score were lower, and the postoperative shoulder joint function score was higher, all with statistical significance. The above results indicate that IMN is effective and safe in the treatment of CPHFs, which can validly reduce the discomfort of patients and facilitate the recovery of shoulder joint function.

Droplet-Transmitted Infection Risk Ranking Based on Close Proximity Interaction.

We propose an automatic method to identify people who are potentially-infected by droplet-transmitted diseases. This high-risk group of infection was previously identified by conducting large-scale visits/interviews, or manually screening among tons of recorded surveillance videos. Both are time-intensive and most likely to delay the control of communicable diseases like influenza. In this paper, we address this challenge by solving a multi-tasking problem from the captured surveillance videos. This multi-tasking framework aims to model the principle of Close Proximity Interaction and thus infer the infection risk of individuals. The complete workflow includes three essential sub-tasks: (1) person re-identification (REID), to identify the diagnosed patient and infected individuals across different cameras, (2) depth estimation, to provide a spatial knowledge of the captured environment, (3) pose estimation, to evaluate the distance between the diagnosed and potentially-infected subjects. Our method significantly reduces the time and labor costs. We demonstrate the advantages of high accuracy and efficiency of our method. Our method is expected to be effective in accelerating the process of identifying the potentially infected group and ultimately contribute to the well-being of public health.