O-GlcNAcylation is a highly dynamic, reversible and atypical glycosylation that regulates the activity, biological function, stability, sublocation and interaction of target proteins. O-GlcNAcylation receives and coordinates different signal inputs as an intracellular integrator similar to the nutrient sensor and stress receptor, which target multiple substrates with spatio-temporal analysis specifically to maintain cellular homeostasis and normal physiological functions. Our review gives a brief description of O-GlcNAcylation and its only two processing enzymes and HBP flux, which will help to better understand its physiological characteristics of sensing nutrition and environmental cues. This nutritional and stress-sensitive properties of O-GlcNAcylation allow it to participate in the precise regulation of skeletal muscle metabolism. This review discusses the mechanism of O-GlcNAcylation to alleviate metabolic disorders and the controversy about the insulin resistance of skeletal muscle. The level of global O-GlcNAcylation is precisely controlled and maintained in the “optimal zone”, and its abnormal changes is a potential factor in the pathogenesis of cancer, neurodegeneration, diabetes and diabetic complications. Although the essential role of O-GlcNAcylation in skeletal muscle physiology has been widely studied and recognized, it still is underestimated and overlooked. This review highlights the latest progress and potential mechanisms of O-GlcNAcylation in the regulation of skeletal muscle contraction and structural properties.

RNA‐binding motif protein 3 (RBM3), an outstanding cold shock protein, is rapidly upregulated to ensure homeostasis and survival in a cold environment, which is an important physiological mechanism in response to cold stress. Meanwhile, RBM3 has multiple physiological functions and participates in the regulation of various cellular physiological processes, such as antiapoptosis, circadian rhythm, cell cycle, reproduction, and tumogenesis. The structure, conservation, and tissue distribution of RBM3 in human are demonstrated in this review. Herein, the multiple physiological functions of RBM3 were summarized based on recent research advances. Meanwhile, the cytoprotective mechanism of RBM3 during stress under various adverse conditions and its regulation of transcription were discussed. In addition, the neuroprotection of RBM3 and its oncogenic role and controversy in various cancers were investigated in our review.

Background Autoimmune encephalitis (AE) is a type of encephalopathy mediated by an antigenic immune response in the central nervous system. Most research related to autoimmune encephalitis (AE) is focused on early diagnosis, treatment and prognosis analysis; there has been little research conducted on the characteristics of immune function, and the relationship between immune function and prognoses of patients with autoimmune encephalitis needs to be studied further. Methods A total of 33 children with autoimmune encephalitis were identified through the clinic database and inpatient consults at Tianjin Children’s Hospital from January 2013 to January 2021. Based on the one-year follow-up and the modified Rankin Scale (mRS) prognosis score, they were divided into a good prognosis group and a poor prognosis group. The immune function characteristics of the two groups of children with autoimmune encephalitis (AE) were compared using Spearman correlation to analyse the mRS score and immune function indicators (IgA, IgG, IgM, CD4, CD8, CD4/CD8), and binary logistic regression was used to analyse the independent risk factors of the prognoses in patients with autoimmune encephalitis (AE). Results The differences in abnormal mental disorders and limb dyskinesia, cognitive impairment, onset types, modified Rankin Scale (mRS) scores at admission, and immune function status during remission between the two groups were statistically significant (p < 0.05). Conclusion There is a close correlation between modified Rankin Scale (mRS) scores and the immune function index CD4/CD8 in children with autoimmune encephalitis (AE) when they are admitted to the hospital. A young age, disturbance of consciousness, limb dyskinesia, abnormal immune function in remission and anti-NMDAR encephalitis are risk factors for poor prognoses in children with autoimmune encephalitis (AE). Clinical treatment requires more attention.

Objective: To explore the immune characteristics and short-term prognosis of children with autoimmune encephalitis (AE), then to analyse the relationship between them. Methods: A total of 78 children with AE were identified through the clinic database and inpatient consults in Tianjin Children’s Hospital (238 Long-Yan Road, Bei-Chen District, Tianjin, China) from January 2018 to January 2021. Based on the recent follow-up (one-year follow-up) of the modified Rankin Scale (mRS) prognosis score, they were divided into a good prognosis group (59 cases, mRS <3 points) and a poor prognosis group (19 cases, mRS ≥3 points). The immune function characteristics of the two groups of children with AE were compared using Spearman correlation to analyse the mRS score and immune function indicators (IgA, IgG, IgM, CD4, CD8, CD4/CD8), and using binary logistic regression to analyse the factors affecting the prognosis of children with AE. Results: The differences in age, consciousness disorder, limb dyskinesia, cognitive impairment, onset type, mRS score at admission, and immune function status during remission between the two groups were statistically significant (p < 0.05). The mRS score of the good prognosis group at admission was significantly lower than that of the poor prognosis group (2.65 ± 0.76 vs 3.05 ± 0.71, p ＜ 0.05). IgA (0.61 ± 0.19 vs 0.87 ± 0.25, p < 0.001), IgG (8.17 ± 1.12 vs 9.02 ± 1.39, p = 0.001). IgM (1.01 ± 0.26 vs 1.23 ± 0.33, p < 0.001) in the good prognosis group were significantly lower than those in the poor prognosis group, while CD4 (36.35 ± 8.74 vs 23.89 ± 6.97, p < 0.001) and CD4/CD8 (1.68 ± 0.32 vs 1.01 ± 0.24, p = 0.001) were significantly higher than those in the poor prognosis group. Spearman correlation analysis showed that the mRS score at admission was significantly negatively correlated with CD4/CD8 (r ＝−0.775, p < 0.001), but not significantly correlated with other immune function indexes. Binary logistic regression showed that age (OR = 0.385; 95% CI = 0.200–0.741), consciousness disorder (OR = 39.3569; 95% CI = 4.073–380.262), limb movement disorder (OR = 17.107; 95% CI = 2.769–105.701), and abnormal immune function in remission (OR = 0.050; 95% CI = 0.007–0.372) were risk factors for poor prognosis in children with AE. Conclusion: There is a close correlation between mRS and immune function index CD4/CD8 in children with AE when they are admitted to the hospital. Young age, disturbance of consciousness, limb dyskinesia, and abnormal immune function in remission are risk factors for poor prognosis of children with AE. More attention should be paid in clinical treatment.