BACKGROUND:Three-dimensional (3D) nanofiber scaffolds are aimed to mimic the physical and chemical signals of stem celsin vivo. 3D nanofiber scaffolds, which are capable to maintain the activity of stem cels, are promising in tissue regeneration and stem celltherapy. OBJECTIVE:To review the synthesis methods for 3D nanofiber scaffolds, and the interactions of stem cels and 3D scaffolds as wel as the current progress of 3D nanofiber scaffolds in tissue engineering. METHODS:Web of Science was searched with key words of “tissue engineering, nanofiber scaffold, stem cellfate” in English for articles relevant to stem celltissue engineering and 3D nanofiber scaffolds. RESULTS AND CONCLUSION:3D nanofiber scaffolds can mimic the physical architecture ofin vivo microenvironment due to its nano-scale topology. Chemical modification of scaffolds endows chemical cues to stem cels. Therefore, 3D nanofiber scaffold can be a promising delivery vehicle of stem cels in tissue engineering. Nanofiber scaffolds can be synthesized through self-assembly, sol-gel phase separation, and electric spinning. 3D nanofiber scaffolds have been shown to improve thein vitro proliferation of hematopoietic stem cels, embryonic stem cels, mesenchymal stem cels, and neural stem cels. 3D nanofiber scaffolds with specific topology/chemical properties can induce the differentiation of stem cels into bone, cartilage, nerve, or muscle. 3D nanofiber scaffold which provides a satisfactory microenvironment for stem cellenhance the performance of stem celltherapy.

Objective:To analyze the temporal trends of the incidence rate of tuberculosis (TB) in Shaanxi Province and provide a reference for WHO to control the prevalence of TB effectively.Methods:Joinpoint regression was used to analyze the trend of the incidence rate of TB in Shaanxi Province from 2004 to 2022, and the seasonal autoregressive moving average model was used to forecast the incidence rate of TB in Shaanxi Province to 2030.Results:The incidence rate of TB in Shaanxi Province decreased from 90.896/100 000 in 2004 to 35.364/100 000 in 2022, showing a general downward trend (AAPC=-7.72%, P<0.001). From 2014 to 2019, the reduction trend slowed down (APC=-0.69%, P=0.814), of which the largest decline occurred from 2019 to 2022 (APC=-13.26%, P=0.010). The predicted incidence rate of TB in Shaanxi Province from 2020 to 2022 was higher than the reported incidence rate, with the expected incidence rate of 51.342/100 000 in 2022 and 43.468/100 000 in 2030. Conclusion:The incidence rate of TB in Shaanxi Province shows a downward trend from 2004 to 2022, but the decline has shrunk in recent years. It is predicted that the downward trend will continue to slow down by 2030.

Objective:To analyze the temporal trends of the incidence rate of tuberculosis (TB) in Shaanxi Province and provide a reference for WHO to control the prevalence of TB effectively.Methods:Joinpoint regression was used to analyze the trend of the incidence rate of TB in Shaanxi Province from 2004 to 2022, and the seasonal autoregressive moving average model was used to forecast the incidence rate of TB in Shaanxi Province to 2030.Results:The incidence rate of TB in Shaanxi Province decreased from 90.896/100 000 in 2004 to 35.364/100 000 in 2022, showing a general downward trend (AAPC=-7.72%, P<0.001). From 2014 to 2019, the reduction trend slowed down (APC=-0.69%, P=0.814), of which the largest decline occurred from 2019 to 2022 (APC=-13.26%, P=0.010). The predicted incidence rate of TB in Shaanxi Province from 2020 to 2022 was higher than the reported incidence rate, with the expected incidence rate of 51.342/100 000 in 2022 and 43.468/100 000 in 2030. Conclusion:The incidence rate of TB in Shaanxi Province shows a downward trend from 2004 to 2022, but the decline has shrunk in recent years. It is predicted that the downward trend will continue to slow down by 2030.