Nowadays, accumulating evidence indicates that long non-coding RNA (lncRNA) play vital roles in tumorigenesis. As a newly discovered lncRNA, FEZ family zinc finger 1-antisense RNA 1 (FEZF1-AS1) is markedly upregulated in various malignant tumors including non-small cell lung cancer (NSCLC). Aberrant expression of FEZF1-AS1 is related to clinical characteristics of patients with NSCLC and suggests poor prognosis. Moreover, FEZF1-AS1 can regulate numerous biological processes, such as cell proliferation, migration and invasion through different mechanisms. In this article, we systematically summarize the recent research progress of FEZF1-AS1 in NSCLC, which might be a novel target for clinical therapy.

Objective: To explore the linear associations between social support, coping strategies, depression, anxiety, and cognitive function among people with type 2 diabetes mellitus (T2DM) using a path-analytic method. Methods: This cross-sectional study enrolled 496 individuals hospitalized due to T2DM. Well-trained investigators conducted face-to-face interviews with the participants using the Social Support Rating Scale, the Chinese version of Medical Coping Modes Questionnaire, the Hospital Anxiety and Depression scale, and the Mini Mental State Examination to measure social support (including objective support, subjective support, and support utilization), coping strategies (including confrontation, avoidance, and acceptance-resignation), depression/anxiety, and cognitive function, respectively. A path analysis was used to elucidate the linear associations between social support, coping strategies, depression, anxiety, and cognitive function. Results: In the final path model with satisfactory model fit, objective support was found to be associated with cognitive function not only directly but also indirectly through confrontation coping and depression, and acceptance-resignation coping and depression/anxiety. Further, subjective support was found to be associated with cognitive function indirectly through depression/anxiety, as well as serially through acceptance-resignation coping and depression/anxiety. Support utilization was found to be associated with cognitive function indirectly through confrontation coping and depression, as well as through acceptance-resignation coping and depression/anxiety. Conclusion Social support, coping strategies, depression, and anxiety were associated with cognitive function among people with T2DM, and these associations were best explained by a serial mediation model from social support, coping strategies, and depression and anxiety to cognitive function.

Objective: To explore the linear associations between social support, coping strategies, depression, anxiety, and cognitive function among people with type 2 diabetes mellitus (T2DM) using a path-analytic method. Methods: This cross-sectional study enrolled 496 individuals hospitalized due to T2DM. Well-trained investigators conducted face-to-face interviews with the participants using the Social Support Rating Scale, the Chinese version of Medical Coping Modes Questionnaire, the Hospital Anxiety and Depression scale, and the Mini Mental State Examination to measure social support (including objective support, subjective support, and support utilization), coping strategies (including confrontation, avoidance, and acceptance-resignation), depression/anxiety, and cognitive function, respectively. A path analysis was used to elucidate the linear associations between social support, coping strategies, depression, anxiety, and cognitive function. Results: In the final path model with satisfactory model fit, objective support was found to be associated with cognitive function not only directly but also indirectly through confrontation coping and depression, and acceptance-resignation coping and depression/anxiety. Further, subjective support was found to be associated with cognitive function indirectly through depression/anxiety, as well as serially through acceptance-resignation coping and depression/anxiety. Support utilization was found to be associated with cognitive function indirectly through confrontation coping and depression, as well as through acceptance-resignation coping and depression/anxiety. Conclusion Social support, coping strategies, depression, and anxiety were associated with cognitive function among people with T2DM, and these associations were best explained by a serial mediation model from social support, coping strategies, and depression and anxiety to cognitive function.

Objective: To explore the linear associations between social support, coping strategies, depression, anxiety, and cognitive function among people with type 2 diabetes mellitus (T2DM) using a path-analytic method. Methods: This cross-sectional study enrolled 496 individuals hospitalized due to T2DM. Well-trained investigators conducted face-to-face interviews with the participants using the Social Support Rating Scale, the Chinese version of Medical Coping Modes Questionnaire, the Hospital Anxiety and Depression scale, and the Mini Mental State Examination to measure social support (including objective support, subjective support, and support utilization), coping strategies (including confrontation, avoidance, and acceptance-resignation), depression/anxiety, and cognitive function, respectively. A path analysis was used to elucidate the linear associations between social support, coping strategies, depression, anxiety, and cognitive function. Results: In the final path model with satisfactory model fit, objective support was found to be associated with cognitive function not only directly but also indirectly through confrontation coping and depression, and acceptance-resignation coping and depression/anxiety. Further, subjective support was found to be associated with cognitive function indirectly through depression/anxiety, as well as serially through acceptance-resignation coping and depression/anxiety. Support utilization was found to be associated with cognitive function indirectly through confrontation coping and depression, as well as through acceptance-resignation coping and depression/anxiety. Conclusion Social support, coping strategies, depression, and anxiety were associated with cognitive function among people with T2DM, and these associations were best explained by a serial mediation model from social support, coping strategies, and depression and anxiety to cognitive function.

Objective: To explore the linear associations between social support, coping strategies, depression, anxiety, and cognitive function among people with type 2 diabetes mellitus (T2DM) using a path-analytic method. Methods: This cross-sectional study enrolled 496 individuals hospitalized due to T2DM. Well-trained investigators conducted face-to-face interviews with the participants using the Social Support Rating Scale, the Chinese version of Medical Coping Modes Questionnaire, the Hospital Anxiety and Depression scale, and the Mini Mental State Examination to measure social support (including objective support, subjective support, and support utilization), coping strategies (including confrontation, avoidance, and acceptance-resignation), depression/anxiety, and cognitive function, respectively. A path analysis was used to elucidate the linear associations between social support, coping strategies, depression, anxiety, and cognitive function. Results: In the final path model with satisfactory model fit, objective support was found to be associated with cognitive function not only directly but also indirectly through confrontation coping and depression, and acceptance-resignation coping and depression/anxiety. Further, subjective support was found to be associated with cognitive function indirectly through depression/anxiety, as well as serially through acceptance-resignation coping and depression/anxiety. Support utilization was found to be associated with cognitive function indirectly through confrontation coping and depression, as well as through acceptance-resignation coping and depression/anxiety. Conclusion Social support, coping strategies, depression, and anxiety were associated with cognitive function among people with T2DM, and these associations were best explained by a serial mediation model from social support, coping strategies, and depression and anxiety to cognitive function.

Objective:To explore the white matter structural characteristics in patients with bipolar disorder(BD)using diffusion tensor imaging(DTI)and investigate their relationship with cognitive function.Methods:A total of 15 patients with BD type Ⅰ and 26 patients with BD type Ⅱ who met the Diagnostic and Statistical Manual of Mental Disorders,Fourth Edition(DSM-Ⅳ)diagnostic criteria and 37 normal controls were included.Cognitive function was assessed with the Trail Making Test(TMT)and Repeatable Battery for the Assessment of Neuropsy-chological Status(RBANS).The tract-based spatial statistics(TBSS)method was used to explore the differences in fractional anisotropy(FA)and mean diffusivity(MD)among the three groups and perform correlation analyses with cognitive function.Results:Patients with BD Ⅰ and BD Ⅱ had lower scores in attention(P＜0.001),delayed memory(P＜0.01),and total scores(P＜0.001)on the RBANS compared to the normal control group.They also exhibited lower FA values in the corpus callosum and right superior corona radiata compared to the normal control group(P＜0.05).In the BD Ⅰ group,there was a positive correlation between FA values in the genu of corpus cal-losum and visuospatial/constructional scores(r=0.74,P＜0.05),while in the BD Ⅱ group,a positive correlation was found between FA values in the same region and language function scores(r=0.55,P＜0.05).Conclusion:It suggests that patients with bipolar disorder may have impaired white matter integrity in the corpus callosum and right superior corona radiata,which may be associated with cognitive impairment.

OBJECTIVE To investigate the risk factors for hypokalemia caused by amphotericin B liposome， and to provide reference for clinical use of drugs. METHODS A retrospective analysis was used to collect the information of patients who used amphotericin B liposome during the hospitalization in First Affiliated Hospital of Hainan Medical College from January 2012 to December 2021. The details of use information about amphotericin B liposome and the potassium supplementation were collected. The patients were divided into hypokalemia group and normal group according to the occurrence of hypokalemia. Univariate and multi-variate Logistic regression analyses were used to analyze the risk factors for hypokalemia induced by amphotericin B liposome. RESULTS Of the 121 patients included in this analysis， 60 patients were in hypokalemia group， 61 patients were in normal group. The following parameters of the hypokalemic group were significantly higher or longer than those of the normal group， such as the maintenance dose， cumulative dose and maximum daily dose （in patients with severe hypokalemia） of amphotericin B liposome， treatment days， the maintained days of hypokalemia， daily dose of potassium supplement （in patients with moderate or severe hypokalemia）， the duration of potassium supplement （in patients with moderate hypokalemia）. Results of single factor analysis showed that the cumulative dose of amphotericin B liposome ≥200 mg and the duration of treatment ≥5 days were independent risk factors of hypokalemia caused by this drug （P＜0.05）. Multi-variate analysis results showed that the presence of basic hypokalemia， body weight ＜50 kg， cumulative dose of amphotericin B liposome ≥200 mg and the duration of treatment ≥5 days were the independent risk factors for hypokalemia caused by amphotericin B liposome （P＜0.05）. CONCLUSIONS The incidence of hypokalemia caused by amphotericin B liposome is high， the independent risk factors for hypokalemia include cumulative dose ≥200 mg， treatment days ≥5 days， the presence of basic hypokalemia and body weight ＜ 50 kg. It is suggested that serum potassium should be elevated to normal level before amphotericin B liposome treatment， and the level of serum potassium should be monitored during medication to reduce the occurrence of hypokalemia.