Objective To observe the opticin expression in the eyes of nonobese diabetes (NOD) mice and nondiabetic NOD mice.Methods Twenty NOD mice were divided into diabetic group (experimental group) and nondiabetic group (control group). All the mice were killed by cervical dislocation method.The eyes were harvested, and the vitreous, retina and sclera were separately collected. Western blot and realtime reverse transcriptionpolymerase chain reaction（RT-PCR）were respectively used to determine opticin protein and OPTC mRNA levels.Results The opticin protein level in the vitreous and retina was lower in the experimental group（t=4.42,4.58;P=0.002,0.002）,but is same in thesclera between the 2 groups（t=0.27,P=0.794）.OPTCmRNA level was vitreousgt;retinagt;sclera. OPTCmRNA levels of vitreous and retina in diabetic group were significantly lower（t=3.30,2.48；P=0.01,0.04）; there was no statistical significant on OPTC mRNA of sclera between two groups（t=0.27,P=0.80）.Conclusion Expression of opticin was suppressed in retina and vitreous of diabetic mice.
China is facing the peak of an ageing population, and there is an increase in demand for intelligent healthcare services for the elderly. The metaverse, as a new internet social communication space, has shown infinite potential for application. This paper focuses on the application of the metaverse in medicine in the intervention of cognitive decline in the elderly population. The problems in assessment and intervention of cognitive decline in the elderly group were analyzed. The basic data required to construct the metaverse in medicine was introduced. Moreover, it is demonstrated that the elderly users can conduct self-monitoring, experience immersive self-healing and health-care through the metaverse in medicine technology. Furthermore, we proposed that it is feasible that the metaverse in medicine has obvious advantages in prediction and diagnosis, prevention and rehabilitation, as well as assisting patients with cognitive decline. Risks for its application were pointed out as well. The metaverse in medicine technology solves the problem of non-face-to-face social communication for elderly users, which may help to reconstruct the social medical system and service mode for the elderly population.