Introduction Accumulating evidence has demonstrated that circular RNAs (circRNAs) play a key role in the tumorigenesis of various types of cancers, including clear cell renal cell carcinoma (ccRCC). Materials and Methods Reverse transcription-quantitative polymerase chain reaction was used to detect the expression of circRNA homeodomain interacting protein kinase 3 (circHIPK3) and microRNAs (miRNAs), including miR-508-3p. The clinical measurement of circHIPK3 was evaluated by Kaplan–Meier survival analysis and receiver operating characteristic analysis. Cell Counting Kit-8 and Transwell chamber assays were performed to determine the changes in the proliferative and metastatic ability of A498 and 786-O cells. C-X-C motif chemokine ligand 13 (CXCL13) protein expression was detected by Western blot analysis. The targeted binding effect between miR-508-3p and circHIPK3 or CXCL13 was confirmed by constructed luciferase and RNA immunoprecipitation (RIP) assays, respectively. Fluorescence in situ hybridization (FISH) assay was used to measure the subcellular localization of circHIPK3 and miR-508-3p. Results It was found that circHIPK3 was markedly upregulated in ccRCC tissue and cell lines, and circHIPK3-upregulation was closely correlated with poor clinicopathological features in patients with ccRCC. It was found that both miR-508-3p and circHIPK3 were localized in the cytoplasm of ccRCC cells. The up- and downregulation of circHIPK3 positively regulated ccRCC cell proliferation and metastasis, and this regulatory effect was reversed by miR-508-3p. Through luciferase and RIP assays, it was confirmed that circHIPK3 could interacted with miR-508-3p. Furthermore, it was revealed that CXCL13, which was negatively correlated with miR-508-3p, was upregulated in ccRCC. It was also shown that CXCL13 was a downstream target of miR-508-3p. miR-508-3p suppressed ccRCC cell proliferation and metastasis by targeting CXCL13. Lastly, it was demonstrated that circHIPK3 promoted CXCL13 to facilitate ccRCC cell proliferation and metastasis by decoying miR-508-3p. Conclusion In brief, the results of the present study showed that circHIPK3 promoted ccRCC cell proliferation and metastasis by altering miR-5083p/CXCL13 signaling. The present findings might provide a novel target for the molecular treatment of ccRCC.
Background: Few studies have addressed major depression and suicidal ideation in medical residents, yet the high incidence rate and low attendance rate highlight suggest the need for a greater focus on mental health. To our knowledge, there is no model for predicting major depression and suicidal ideation in medical residents. Thus, we developed and validated a model for predicting major depression and suicidal ideation in this specific subpopulation of medical professionals.Design: The development cohort included 938 medical residents from six centers between January 1, 2017 and December 31, 2018. A total of 405 consecutive medical residents from two other centers met the inclusion and exclusion criteria and participated in the validation cohort. Lasso regression was utilized for data dimension reduction and feature selection. Multivariable logistic regression was then used to develop a predictive model. The efficacy of this predictive model was assessed with respect to its clinical usefulness, calibration, and discrimination.Results: We identified four shared predictive factors for both major depression and suicidal ideation: sleep quality, Masrah Burnout Inventory personal accomplishment, Masrah Burnout Inventory depersonalization, and optimism of Psychological Capital. Furthermore, we identified two predictors that affect major depression exclusively: working duration and Masrah Burnout Inventory emotional exhaustion. Of the study participants, 44.90% (603/1343) experienced depressive symptoms, 12.90% (173/1343) experienced major depressive symptoms, and 9.70% (130/1343) experienced suicidal ideation. In the validation cohort, our model showed good discrimination, with an AUROC (Area under the receiver operating characteristic curves) of 0.906 (95% CI: 0.872–0.940) and good calibration (unreliability test, P = 0.836). Decision curve analysis showed that the model was clinically useful.Conclusion: This study provides a reliable nomogram to facilitate the individualized prediction of major depression and suicidal ideation among medical residents, allowing for the early diagnosis and treatment of mental disorders in this specific subpopulation of medical professionals. The findings of our study are conducive to expanding the knowledge of mental disorders and improving the development of public health.
Introduction and objectives: Although loneliness and social isolation are growing public health concerns, there is little knowledge of the experience of medical residents who are usually young adults. We aimed to explore the prevalence and associated risk factors of loneliness and social isolation in medical residents.Method: A multi-center cross-sectional study that included 1,338 medical residents from eight centers in China was conducted in February 2020. A self-report questionnaire was used to record participants’ demographic characteristics, dietary habits, life-related factors, work-related factors, and psychological outcomes. Loneliness and isolation were measured using the Revised UCLA loneliness scale. Multiple logistic analysis was used to determine the adjusted odds ratio (OR) with 95% confidence intervals.Results: The effective response rate was 87.28% (1,338/1,533). Of the respondents, 24.40% reported loneliness and 44.50% reported social isolation. Three shared independent factors for loneliness and social isolation were identified: sleep quality (OR = 1.189; OR = 1.197; P < 0.001 for both), marital status (married vs. single, OR = 0.565, P = 0.007; OR = 0.486, P = 0.022) and perceived organization support (OR = 0.966; OR = 0.970, P < 0.001 for both).Conclusions: There is considerable prevalence of loneliness and social isolation among medical residents in China. Poor sleep quality, singlehood, and the absence of organizational support are shared risk factors for both loneliness and social isolation. Policymakers are encouraged to develop comprehensive strategies for preventing loneliness and social isolation.
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