Adolescent idiopathic scoliosis is the most common spinal disorder in adolescents with a prevalence of 0.5–5.2% worldwide. The traditional methods for scoliosis screening are easily accessible but require unnecessary referrals and radiography exposure due to their low positive predictive values. The application of deep learning algorithms has the potential to reduce unnecessary referrals and costs in scoliosis screening. Here, we developed and validated deep learning algorithms for automated scoliosis screening using unclothed back images. The accuracies of the algorithms were superior to those of human specialists in detecting scoliosis, detecting cases with a curve ≥20°, and severity grading for both binary classifications and the four-class classification. Our approach can be potentially applied in routine scoliosis screening and periodic follow-ups of pretreatment cases without radiation exposure.
Of the three unfolded protein response pathways, which are activated by endoplasmic reticulum stress, inositol-requiring enzyme 1α (IRE1α)-X-box-binding protein 1 (XBP1) signaling is the most conserved. These pathways are implicated in a variety of types of cancer, including hepatocellular carcinoma (HCC). However, the role of IRE1α-XBP1 signaling in the development of HCC remains unclear. In the current study, reverse transcription-quantiative polymerase chain reaction was used to analyze the expression levels of and interleukin ( in human tissues and cells. ChIP and luciferase reporter assays were utilized to investigate the interaction between XBP1s and promoter DNA. It was revelaed that IRE1α-XBP1 signaling promotes the proliferation of HCC cells via regulating hepatic IL-6 expression. It was observed that the splicing levels of XBP1 and hepatic IL-6 content were increased and positively correlated with each other in human HCC tissues (r=0.5846, P=0.004). Ectopic expression of IRE1α or XBP1s increased IL-6 levels in LO2 and Hep3B cells. In addition, pharmacological inhibition of IRE1α reduced the levels of IL-6 expression and secretion through blocking the generation of XBP1s, which bound directly to the IL-6 promoter and activated its expression. Further investigation demonstrated that IL-6 driven by XBP1s was secreted outside of cells and activated signal transducer and activator of transcription 3 (STAT3) signaling in an autocrine/paracrine manner, to regulate the proliferation of Hep3B cells. Blockage of IL-6-STAT3 signaling with tocilizumab attenuated the effect of IRE1α-XBP1 signaling in promoting Hep3B cell proliferation. In conclusion, the present study revealed that IRE1α-XBP1 signaling promotes carcinogenesis of HCC by regulating the activation of the IL-6-STAT3 signaling pathway.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.