ObjectiveThe controllability changes of structural brain network were explored based on the control and brain network theory in young smokers, this may reveal that the controllability indicators can serve as a powerful factor to predict the sleep status in young smokers. MethodsFifty young smokers and 51 healthy controls from Inner Mongolia University of Science and Technology were enrolled. Diffusion tensor imaging (DTI) was used to construct structural brain network based on fractional anisotropy (FA) weight matrix. According to the control and brain network theory, the average controllability and the modal controllability were calculated. Two-sample t-test was used to compare the differences between the groups and Pearson correlation analysis to examine the correlation between significant average controllability and modal controllability with Fagerström Test of Nicotine Dependence (FTND) in young smokers. The nodes with the controllability score in the top 10% were selected as the super-controllers. Finally, we used BP neural network to predict the Pittsburgh Sleep Quality Index (PSQI) in young smokers. ResultsThe average controllability of dorsolateral superior frontal gyrus, supplementary motor area, lenticular nucleus putamen, and lenticular nucleus pallidum, and the modal controllability of orbital inferior frontal gyrus, supplementary motor area, gyrus rectus, and posterior cingulate gyrus in the young smokers’ group, were all significantly different from those of the healthy controls group (P<0.05). The average controllability of the right supplementary motor area (SMA.R) in the young smokers group was positively correlated with FTND (r=0.393 0, P=0.004 8), while modal controllability was negatively correlated with FTND (r=-0.330 1, P=0.019 2). ConclusionThe controllability of structural brain network in young smokers is abnormal. which may serve as an indicator to predict sleep condition. It may provide the imaging evidence for evaluating the cognitive function impairment in young smokers.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

Background: The genetic basis for hyperglycaemia in pregnancy remain unclear. This study aimed to uncover the genetic determinants of gestational diabetes mellitus (GDM) and investigate their applications. Methods: We performed a meta-analysis of genome-wide association studies (GWAS) for GDM in Chinese women (464 cases and 1,217 controls), followed by de novo replications in an independent Chinese cohort (564 cases and 572 controls) and in silico replication in European (12,332 cases and 131,109 controls) and multi-ethnic populations (5,485 cases and 347,856 controls). A polygenic risk score (PRS) was derived based on the identified variants. Results: Using the genome-wide scan and candidate gene approaches, we identified four susceptibility loci for GDM. These included three previously reported loci for GDM and type 2 diabetes mellitus (T2DM) at MTNR1B (rs7945617, odds ratio [OR], 1.64; 95% confidence interval [CI],1.38 to 1.96]), CDKAL1 (rs7754840, OR, 1.33; 95% CI, 1.13 to 1.58), and INS-IGF2-KCNQ1 (rs2237897, OR, 1.48; 95% CI, 1.23 to 1.79), as well as a novel genome-wide significant locus near TBR1-SLC4A10 (rs117781972, OR, 2.05; 95% CI, 1.61 to 2.62; Pmeta=7.6×10-9), which has not been previously reported in GWAS for T2DM or glycaemic traits. Moreover, we found that women with a high PRS (top quintile) had over threefold (95% CI, 2.30 to 4.09; Pmeta=3.1×10-14) and 71% (95% CI, 1.08 to 2.71; P=0.0220) higher risk for GDM and abnormal glucose tolerance post-pregnancy, respectively, compared to other individuals. Conclusion Our results indicate that the genetic architecture of glucose metabolism exhibits both similarities and differences between the pregnant and non-pregnant states. Integrating genetic information can facilitate identification of pregnant women at a higher risk of developing GDM or later diabetes.

BACKGROUND AND OBJECTIVE: Patients with glioma experience a high symptom burden and have diverse palliative care needs. However, the assessment scales used in palliative care remain non-standardized and highly heterogeneous. To evaluate the application patterns of the current scales used in palliative care for glioma, we aim to identify gaps and assess the need for disease-specific scales in glioma palliative care. METHODS: We conducted a systematic search of five databases including PubMed, Web of Science, Medline, EMBASE, and CINAHL for quantitative studies that reported scale-based assessments in glioma palliative care. We extracted data on scale characteristics, domains, frequency, and psychometric properties. Quality assessments were performed using the Cochrane ROB 2.0 and ROBINS-I tools. RESULTS: Of the 3,405 records initially identified, 72 studies were included. These studies contained 75 distinct scales that were used 193 times. Mood (21.7%), quality of life (24.4%), and supportive care needs (5.2%) assessments were the most frequently assessed items, exceeding half of all scale applications. Among the various assessment dimensions, the Distress Thermometer (DT) was the most frequently used tool for assessing mood, while the Short Form-36 Health Survey Questionnaire (SF-36) was the most frequently used tool for assessing quality of life. The Mini Mental Status Examination (MMSE) was the most common tool for cognitive assessment. Performance status (5.2%) and social support (6.8%) were underrepresented. Only three brain tumor-specific scales were identified. Caregiver-focused scales were limited and predominantly burden-oriented. CONCLUSIONS: There are significant heterogeneity, domain imbalances, and validation gaps in the current use of assessment scales for patients with glioma receiving palliative care. The scale selected for use should be comprehensive and user-friendly.
Humans ; Glioma/psychology* ; Palliative Care/methods* ; Quality of Life ; Psychometrics ; Brain Neoplasms/psychology*

OBJECTIVE: To investigate the whole-genome differential methylation profile of patients with high-altitude polycythemia (HAPC). METHODS: In this study, a total of 20 adult male patients with HAPC were included, including 10 Tibetan and 10 Han patients. The control group consisted of 20 healthy adult males, including 10 Tibetan and 10 Han patients. Peripheral blood was collected from each group for DNA extraction and quality inspection, and DNA libraries were constructed. The differential methylation regions (DMRs) between groups were detected using reduced representation bisulfite sequencing, with enriched regions compared to those of the control group. The differential enrichment regions were selected, and the intersection of the enriched regions was associated with genes. The methylation enrichment regions that differed significantly between groups were filtered based on the number of enriched samples in the enriched regions between the groups. GO, KEGG functional, and pathway analysis were performed on the differentially associated gene sets to reveal significant differences between the patients and control groups at the functional and pathway levels. RESULTS: In comparison with the control group, 17 152 sites with more than 25% difference and 15 558 sites with less than -25% difference were identified in Tibetan patients. The top 5 genes with the largest methylation differences between the two groups were MCCC2, RP3-399L15.3, ZNF621, RP11-394A14.2 and SLC39A10. The top significantly different pathways annotated in the differentially expressed genes pathway was serotonergic synapse. In comparison with the control group, 2 687 CpG sites with a greater than 25% difference and 2 602 CpG sites with a less than -25% difference were identified in Han patients. The top 5 genes with the largest methylation differences between the two groups were NAA25, CORO2B, PDC, ZNF853, and MLLT10. The top significantly different pathways annotated in the differentially expressed genes pathway were glutamatergic synapse, retrograde endocannabinoid signaling, Rap1 signaling pathway and cholinergic synapse. In comparison with the control group, 3 895 CpG sites with a greater than 25% difference and 3 969 CpG sites with a less than -25% difference were identified in HAPC patients. The maximum methylation difference between the two groups could reach 78.1%, while the minimum was -42.6%. The top 5 genes with the largest methylation differences between the two groups were MCCC2, ARSJ, CTNNA3, SLC39A10, and SWAP70. The top significantly different pathways annotated in the differentially expressed genes pathway was signaling pathways regulating pluripotency of stem cells. CONCLUSION The occurrence of HAPC may be related to abnormal changes in DNA methylation, and methylation sites may be helpful for the early diagnosis of HAPC.
Humans ; DNA Methylation ; Altitude ; Polycythemia/genetics* ; Male ; Adult ; CpG Islands

Objective:To develop the Economic Toxicity Scale for Kidney Transplantation Patients, and to test the reliability and validity of the scale.Methods:Drawing upon Coleman′s social capital theory and the six subfields associated with economic toxicity put forward by European scholars, the initial version of the scale was developed via expert correspondence consultation and a preliminary survey. This was accomplished by building upon existing literature and conducting semi-structured interviews. A total of 261 cases of kidney transplantation patients from March to October 2022 admitted to the First Affiliated Hospital of Shandong First Medical University were investigated for reliability and validity test.Results:The Economic Toxicity Scale for Kidney Transplantation Patients included 6 dimensions, 31 entries. The total scale had a Cronbach alpha coefficient of 0.910 and the subscale had Cronbach alpha coefficient ranging from 0.798 to 0.943. The retest reliability coefficient for the total scale was 0.948, while the six dimensions ranged from 0.732 to 0.942.Conclusions:The scale demonstrates strong reliability and validity, making it a reliable tool for objectively evaluating the economic toxicity of kidney transplantation patients.

Objective To analyze the incidence and mortality of malignant tumors among the middle-aged and elderly population in Chengguan district of Lanzhou from 2011 to 2021,and to discuss the related risk factors.Methods Using the research data of REACTION in Lanzhou,an epidemiological survey was conducted through cluster sampling in three communities in Chengguan district of Lanzhou since April 2011.The target population was middle-aged and elderly residents over 40 years old.Two follow-up surveys were carried out in 2014-2016 and 2021 successively,and 6543 people with complete follow-up data were finally included.The incidence and mortality rates of malignant tumors were calculated,as well as their age standardized rates with reference to the age composition of Segi's world standard population.Multivariate Cox regression analysis was used to screen the risk factors affecting the incidence and mortality of malignant tumors.Results After an average follow-up of 10.6 years,314 new cases of malignant tumors were found in middle-aged and elderly residents in Chengguan district of Lanzhou,with an incidence rate and age standardized incidence rate of 454.30/100 000 and 128.93/100 000,respectively.A total of 158 deaths were attributed to malignant tumors,with a mortality rate and age standardized rate of 228.41/100 000 and 607.9/100 000,respectively;The age standardized incidence rate and mortality rate of malignant tumors males were both higher than those females(P＜0.05).During the follow-up period,the age standardized incidence rate of malignant tumors in the general population showed an significant upward trend(P＜0.05),whereas the age standardized mortality rate gradually decreased after a brief increase(P＜0.05).Lung cancer,colorectal cancer,gastric cancer,and liver cancer were the main types of malignant tumors ranking in the top five in terms of incidence and mortality by gender.Multivariate Cox regression results indicate that male,age≥60 years old,college education level or above,smoking history,drinking history,having been hit by major stressful events,central obesity,hypertension,and coronary heart disease are risk factors for the onset or death of malignant tumors(HR＞1).Married,with family size≥4,frequent consumption of fresh fruit,frequent consumption of fresh vegetables,frequent consumption of grains and tubers are protective factors for the onset or death of malignant tumors(HR＜1).Conclusion The incidence of malignant tumors among middle-aged and elderly people in Chengguan district of Lanzhou from 2011 to 2021 showed an increasing trend,while the overall mortality was decreasing.Our study indicates early cancer screening in elderly populations,maintaining a healthy lifestyle and strengthening the management of chronic diseases are crucial for the prevention and treatment of malignant tumors.

Objective To investigate the relieving effects of knockdown of long non-coding RNA(lncRNA)taurine up-regulated gene 1 (TUG1) on inhibiting nucleotide binding oligomerization domain like receptor protein 1 (NLRP1) inflammasome and the progression of Alzheimer’ s disease. Methods Wild-type (WT group, 10 mice) or amyloid precursor protein (APP) / presenilin-1 (PS1) transgenic mice (30 mice) with a genetic background of C57 / BL6 aged 9-10 weeks were used in this study. APP / PS1 transgenic mice were randomly divided into model group, model+lncRNA TUG1 short hairpin RNA (shRNA) group and model + shRNA non target (NT) group (n = 10) . Blood samples, cerebral cortex tissues, primary microglial cells and primary astrocytes were collected from mice 12 weeks of age on day 1 (3-month-old) and 32 weeks of age on day 1 (8-month-old), with 5 mice per group at each time point. Real-time PCR analysis was used to detect the expression levels of lncRNA TUG1 and macrophage migration inhibitory factor (MIF) mRNA in cerebral cortex tissues and primary microglial cells, and C1r and C1s mRNA levels in primary astrocytes of 3-month-old and 8-month-old mice in the above 4 groups, respectively. ELISA was used to determine the MIF in plasma samples of the above 4 groups of mice. Primary microglia and astrocytes from the cerebral cortex of 3-month-old and 8-month-old mice were co-cultured. CCK-8 method was used to determine the proliferation ability of the above cells. Western blotting was used to determine the expression levels of MIF, pro interleukin-1β (pro-IL-1β), apoptosis associated speck-like protein containing a caspase recrult domain(ASC), Caspase-1 (p20), Caspase-1 (full), NLRP1 and NLRP3 in cerebral cortex tissues of 3-month-old and 8-month-old mice. Immunofluorescent staining was used to determine amyloid beta(Aβ) in cerebral cortex of 8-month-old mice. Results At the age of 3-month-old and 8-month-old, compared with the WT group, the relative expression level of lncRNA TUG1 and MIF in cerebral cortex tissues and primary microglia of model group mice was significantly up-regulated, with primary microglial cells and astrocytes proliferation ability enhanced (P<0. 05) . Compared with the model group, the relative expression level of lncRNA TUG1 and MIF cerebral cortex tissues and primary microglia of model + lncRNA TUG1 shRNA group were significantly down-regulated, with primary microglial cells and astrocytes proliferation ability decreased (P<0. 05) . Compared with the WT group, MIF factor in the peripheral plasma of model group increased significantly, with pro-IL-1β,ASC,Caspase-1 (p20),Caspase-1 (full), NLRP1 and NLRP3 expression level up-regulated in the model group mice cerebral cortex tissues, with increased Aβ immunofluorescent indensity (P<0. 05) . Compared with the model group, MIF factor in the peripheral plasma, and pro-IL-1β, ASC, Caspase-1 (p20), Caspase-1 (full) and NLRP1 expression in the model + lncRNA TUG1 shRNA group mice cerebral cortex tissues were down-regulated, and Aβ immunofluorescent indensity decreased (P<0. 05), while NLRP3 expression level were not changed (P>0. 05) . There was no significant difference between the model group and the model+shRNA NT group mice of all the above factors (P>0. 05) . Conclusion In APP / PS1 transgenic mice, up-regulation of lncRNA TUG1 and MIF are positively associated with the activation of NLRP1 inflammasome in mice cerebral cortex tissues and primary microglia. Knock-down of lncRNA TUG1 can ameliorate the progression of Alzheimer’ s disease.