Objective:To explore the relationship between the dark triad, fear of missing out and smartphone addiction, as well as the mediating role of fear of missing out between the dark triad and smartphone addiction.Methods:A total of 408 college students were assessed using dirty dozen, fear of missing out scale, and mobile phone addiction index. SPSS 24.0 software was used for common method bias tests, descriptive statistical analysis, and correlation analysis. Mplus 8.3 software was employed to construct a structural equation model, and the Bootstrap method was used for mediation effect analysis.Results:The dark triad (36.14±9.06) was positively correlated with fear of missing out (22.55±6.60) and smartphone addiction (46.77±13.62) ( r=0.48, 0.45, both P<0.01). Fear of missing out was also positively correlated with smartphone addiction ( r=0.54, P<0.01). Fear of missing out played a partial mediating role in the relationship between the dark triad and smartphone addiction, with a total effect value of 0.495 and a mediating effect value of 0.217. Conclusion:Fear of missing out partially mediates the relationship between the dark triad and smartphone addiction. The dark triad not only directly predicts smartphone addiction but also indirectly influences smartphone addiction through fear of missing out.

Objective:To observe the effect of aerobic exercise on cardiopulmonary fitness, sleep quality, and right ventricular remodeling in patients with pulmonary arterial hypertension (PAH).Methods:Sixty stable PAH patients without regular exercise habits were randomly divided into an observation group and a control group according to a random number table. Both groups received standard targeted drug therapy, but the observation group additionally performed aerobic exercise three times per week for 12 weeks. Before and after the intervention, the Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality, while echocardiography was performed to measure the end-diastolic volume (RVEDV), end-systolic volume (RVESV), stroke volume (RVSV), and ejection fraction (RVEF) of the participants′ right ventricles. In addition, cardiopulmonary exercise testing was conducted to obtain peak oxygen uptake (VO 2peak), peak heart rate (HR peak), peak work (W peak), and exercise time (ET). Results:In the observation group, the average scores of all items in the PSQI scale, as well as the echocardiography indicators of RVEDV and RVESV decreased significantly compared with before the intervention. VO 2peak, W peak and ET in the cardiopulmonary exercise test, as well as RVSV and RVEF had increased significantly. There was no significant change in HR peak, on average. There was also no significant change in any of these indicators in the control group, on average. The left the observation group′s average VO 2peak, W peak, ET, RVSV and RVEF significantly higher than in the control group, while their PSQI scale scores, RVEDV and RVESV were significantly lower. Conclusions:Regular aerobic exercise can improve sleep quality and promote cardiopulmonary fitness and right ventricular remodeling in PAH patients. That should tend to help reduce mortality, so such therapy is worthy of clinical promotion and application.

Objective:To develop a treatment-related quality of life scale for Chinese patients with multiple myeloma (MM) and to test its reliability and validity.Methods:The initial scale was constructed through a literature search, Delphi expert correspondence, and cognitive testing. This study conducted a preliminary survey of 379 patients with MM and a formal survey of 865 patients from the hematology departments of 155 hospitals nationwide from February 2024 to March 2024. The final scale was obtained after conducting item analysis and reliability and validity tests on the initial scale.Results:The constructed scale contains 36 items covering six domains: physiological, psychological, social, treatment side effects, general health, and others. In the preliminary survey, the Cronbach’s alpha coefficient of each item ranged from 0.597 to 0.939, and the test-retest reliability was 0.747 ( P<0.001). Exploratory factor analysis extracted eight common factors with a cumulative variance contribution of 60.058%. In the formal survey, the Cronbach’s alpha coefficient of each item ranged from 0.484 to 0.930, and the test-retest reliability was 0.835 ( P<0.001). Confirmatory factor analysis revealed a comparative fit index of 0.750, a root-mean-square error of approximation of 0.090, and a root-mean-square residual of 0.067. Conclusion:The treatment-related quality of life scale for Chinese patients with MM designed in this study exhibited good reliability and validity, reflecting the impact of treatment on the quality of life of patients. This scale can provide a reference to clinicians for assessing the disease status of patients.

Objective:To explore the relationship between the dark triad, fear of missing out and smartphone addiction, as well as the mediating role of fear of missing out between the dark triad and smartphone addiction.Methods:A total of 408 college students were assessed using dirty dozen, fear of missing out scale, and mobile phone addiction index. SPSS 24.0 software was used for common method bias tests, descriptive statistical analysis, and correlation analysis. Mplus 8.3 software was employed to construct a structural equation model, and the Bootstrap method was used for mediation effect analysis.Results:The dark triad (36.14±9.06) was positively correlated with fear of missing out (22.55±6.60) and smartphone addiction (46.77±13.62) ( r=0.48, 0.45, both P<0.01). Fear of missing out was also positively correlated with smartphone addiction ( r=0.54, P<0.01). Fear of missing out played a partial mediating role in the relationship between the dark triad and smartphone addiction, with a total effect value of 0.495 and a mediating effect value of 0.217. Conclusion:Fear of missing out partially mediates the relationship between the dark triad and smartphone addiction. The dark triad not only directly predicts smartphone addiction but also indirectly influences smartphone addiction through fear of missing out.

Objective:To observe the effect of aerobic exercise on cardiopulmonary fitness, sleep quality, and right ventricular remodeling in patients with pulmonary arterial hypertension (PAH).Methods:Sixty stable PAH patients without regular exercise habits were randomly divided into an observation group and a control group according to a random number table. Both groups received standard targeted drug therapy, but the observation group additionally performed aerobic exercise three times per week for 12 weeks. Before and after the intervention, the Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality, while echocardiography was performed to measure the end-diastolic volume (RVEDV), end-systolic volume (RVESV), stroke volume (RVSV), and ejection fraction (RVEF) of the participants′ right ventricles. In addition, cardiopulmonary exercise testing was conducted to obtain peak oxygen uptake (VO 2peak), peak heart rate (HR peak), peak work (W peak), and exercise time (ET). Results:In the observation group, the average scores of all items in the PSQI scale, as well as the echocardiography indicators of RVEDV and RVESV decreased significantly compared with before the intervention. VO 2peak, W peak and ET in the cardiopulmonary exercise test, as well as RVSV and RVEF had increased significantly. There was no significant change in HR peak, on average. There was also no significant change in any of these indicators in the control group, on average. The left the observation group′s average VO 2peak, W peak, ET, RVSV and RVEF significantly higher than in the control group, while their PSQI scale scores, RVEDV and RVESV were significantly lower. Conclusions:Regular aerobic exercise can improve sleep quality and promote cardiopulmonary fitness and right ventricular remodeling in PAH patients. That should tend to help reduce mortality, so such therapy is worthy of clinical promotion and application.

Objective:To develop a treatment-related quality of life scale for Chinese patients with multiple myeloma (MM) and to test its reliability and validity.Methods:The initial scale was constructed through a literature search, Delphi expert correspondence, and cognitive testing. This study conducted a preliminary survey of 379 patients with MM and a formal survey of 865 patients from the hematology departments of 155 hospitals nationwide from February 2024 to March 2024. The final scale was obtained after conducting item analysis and reliability and validity tests on the initial scale.Results:The constructed scale contains 36 items covering six domains: physiological, psychological, social, treatment side effects, general health, and others. In the preliminary survey, the Cronbach’s alpha coefficient of each item ranged from 0.597 to 0.939, and the test-retest reliability was 0.747 ( P<0.001). Exploratory factor analysis extracted eight common factors with a cumulative variance contribution of 60.058%. In the formal survey, the Cronbach’s alpha coefficient of each item ranged from 0.484 to 0.930, and the test-retest reliability was 0.835 ( P<0.001). Confirmatory factor analysis revealed a comparative fit index of 0.750, a root-mean-square error of approximation of 0.090, and a root-mean-square residual of 0.067. Conclusion:The treatment-related quality of life scale for Chinese patients with MM designed in this study exhibited good reliability and validity, reflecting the impact of treatment on the quality of life of patients. This scale can provide a reference to clinicians for assessing the disease status of patients.

Objective:To study positive rates and typing of oligoclonal bands (OCB) in patients with neurological disorders, and to reveal the clinical significance and applicational value of OCB test.Methods:A retrospective analysis was performed on the detection results of 3 217 patients with neurological disorders who undertook both serum and cerebrospinal fluid OCBs in the First Hospital of Peking University from January 2012 to August 2022. According to the final diagnosis, the patients were divided into 13 groups including multiple sclerosis (479 cases), neuromyelitis optica spectrum disorders (935 cases), autoimmune encephalitis (192 cases), viral encephalitis (94 cases), nervous system complication after HSCT (232 cases), Guillain-Barré syndrome (644 cases), chronic inflammatory demyelinating polyneuropathy (157 cases), etc. Cerebrospinal fluid and serum OCBs were detected using isoelectric focusing electrophoresis combining immunofixation, then classified into Ⅰ-Ⅴ types according to the morphology. Consequently, positive rates and types were analyzed for each group. χ2 test was used for comparison between groups. Results:The positive rates of cerebrospinal fluid OCB in multiple sclerosis, nervous system complication after hematopoietic stem cell transplantation (HSCT), autoimmune encephalitis, viral encephalitis, neuromyelitis optica spectrum disorders, Guillain-Barré syndrome and chronic inflammatory demyelinating polyneuropathy were respectively 66.8% (320/479), 48.7% (113/232), 46.4%(89/192), 19.1% (18/94), 17.6% (165/935), 9.9% (64/644), 5.1% (8/157). For patients with multiple sclerosis, neuromyelitis optica spectrum disorders, viral encephalitis, and autoimmune encephalitis, Type Ⅱ bands took the majority of cerebrospinal fluid OCB-positive cases with the rates of 94.1% (301/320), 78.7% (70/89), 77.8% (14/18), and 77.6% (128/165) respectively, indicating intrathecal IgG synthesis; for patients with nervous system complication after HSCT, Guillain-Barré syndrome and chronic inflammatory demyelinating polyneuropathy, type Ⅳ bands took the majority of cerebrospinal fluid OCB-positive cases with the rates of 94.7% (107/113), 82.8% (53/64) and 100% (8/8), indicating no obvious intrathecal IgG synthesis. The positive rates of cerebrospinal fluid oligoclonal bands were significantly different among all groups (χ 2=1 268.31, P<0.001). Conclusion:The positive rates of cerebrospinal fluid oligoclonal bands are different among different neurological disorders, in which the positive rate of cerebrospinal fluid OCB is higher with type Ⅱ bands as the majority type in multiple sclerosis, which indicates that the detection and typing of cerebrospinal fluid OCB are helpful for the diagnosis of various neurological diseases, especially for multiple sclerosis.

Objective:To explore the normal ranges of perfusion parameters between cerebral hemisphere, cerebellar hemisphere and brain anatomical subregions (56 pairs) in different gender and age groups with multiple post labeling delay time (Multi-PLD) arterial spin labeling (ASL) imaging.Methods:From November 2020 to December 2020, 42 healthy adult volunteers (Male 25, Female 17) were recruited to perform 7 PLD ASL imaging, including 21 young adults (15 males and 6 females, aged 23—35 years) and 21 seniors (10 males and 11 females, aged 36—74 years). The data was processed offline by Cereflow software to obtain arterial arrival time (ATT) and corrected cerebral blood flow (CBF) and cerebral blood volume (CBV) perfusion parameters. SimpleITK standardization function was used to standardize the calculated perfusion image according to the anatomical automatic labeling (AAL) template. Therefore, CBF, ATT, CBV perfusion values of brain subregions were obtained. Paired samples t test, Wilcoxon rank sum test, independent samples t test and Mann-Whitney U test were used to compare the differences of perfusion parameters in the cerebral hemisphere, the cerebellar hemisphere, brain subregions depending on side, gender and age. Pearson correlation analysis was used to compare the correlations of perfusion parameters with age. Results:CBF in 62.5% (35/56) subregions and CBV in 44.6% (25/56) subregions were higher in right side than those in left side. ATT in most brain anatomical subregions (16/56) were higher in left side. The CBF [(35.30±8.31) vs. (34.34±7.53) ml·100g -1·min -1, P=0.021], CBV [(0.47±0.11) vs. (0.45±0.09) ml/100g, P<0.001], ATT [(1.30±0.10) vs. (1.24±0.11) s, P<0.001] in left cerebellar hemisphere were higher than that of right side. The CBF (28/56) of cerebral hemisphere, cerebellar hemisphere and brain subregions was higher in females than that in males, while ATT in 83.9% (47/56) subregions was lower than that in males (all P<0.05). CBV in female subjects was higher only in 5 brain regions (superior occipital gyrus, middle occipital gyrus, inferior occipital gyrus, superior parietal gyrus and cerebelum_7b) (all P<0.05). In young subjects, CBF in 44.6% (25/56) subregions and CBV in 33.9% (19/56) subregions were higher than those in the senior group (all P<0.05). The ATT in most subregions in young group were lower than those in senior group, but the difference was statistically significant only in rectus gyrus ( P=0.026) and paracentral lobule ( P=0.006). The CBF ( r=-0.430, P=0.005) and CBV ( r=-0.327, P=0.035) of cerebral hemisphere were negatively correlated with age. The CBF (24/25, r range:-0.497 —-0.343, all P<0.05) and CBV (16/19, r range:-0.474 —-0.322, all P<0.05) in most subregions were negatively correlated with age, while ATT was positively correlated (gyrus rectus: r=0.311, P=0.045; paracentral lobule: r=0.392, P=0.010). Conclusions:Multi-PLD ASL imaging could be applied for quantitative analysis of brain perfusion. The perfusion parameters of anatomical subregions are different depending on side, gender, and age.

To explore the function of a heat shock transcription factor gene (HSFB1) and its promoter in Amorphophallus, a 1 365 bp DNA sequence was obtained by homologous cloning from Amorphophallus albus. The gene expression level of AaHSFB1 determined by qRT-PCR indicated that AaHSFB1 gene is more sensitive to heat stress. The expression level of AaHSFB1 in roots increased followed by a decrease upon heat treatment, and the highest expression level was observed after heat treatment for 1 h. The expression level of AaHSFB1 in leaves reached the highest after heat treatment for 12 h. The expression level in bulbs did not change greatly during the heat treatment. Subcellular localization analysis showed that AaHSFB1 protein was localized in the nucleus. A 1 509 bp DNA sequence which contains the AaHSFB1 promoter was obtained by FPNI-PCR method. Bioinformatics analysis showed that the promoter contained heat stress response elements HSE and a plurality of cis-acting elements related to plant development and stress response. A prAaHSFB1::GUS fusion expression vector was constructed to further analyze the function of AaHSFB1 promoter. The expression vector was transformed into Arabidopsis thaliana by Agrobacterium tumefaciens-mediated method, and GUS staining analysis on transgenic plants after heat treatment was performed. The results showed that AaHSFB1 promoter had very high activity in the leaves. Therefore, we speculate that AaHSFB1 may play an important role in the stress resistance of A. albus, especially when encountering heat stress.
Amorphophallus/metabolism* ; Arabidopsis/genetics* ; Cloning, Molecular ; Gene Expression Regulation, Plant ; Plant Proteins/metabolism* ; Plants, Genetically Modified/genetics*

With the constant change of global climate, plants are often affected by multiple abiotic stresses such as heat stress, drought stress, cold stress and saline-alkali stress. Heat shock transcription factors (HSFs) are a class of transcription factors widely existing in plants to respond to a variety of abiotic stresses. In this article, we review and summarize the structure, signal regulation mechanism of HSFs and some research in plants like Arabidopsis thaliana, tomato, rice and soybean, to provide reference for further elucidating the role of HSFs in the stress regulation network.
Arabidopsis/metabolism* ; Droughts ; Gene Expression Regulation, Plant ; Heat Shock Transcription Factors/genetics* ; Plant Proteins/genetics* ; Stress, Physiological ; Transcription Factors/metabolism*