BACKGROUND: The mechanisms distinguishing metabolically healthy from unhealthy phenotypes within the same BMI categories remain unclear. This study aimed to investigate the associations between regional fat distribution and metabolically unhealthy phenotypes in Chinese adults across different BMI categories. METHODS: This cross-sectional study involving 11833 Chinese adults aged 20 years and older. Covariance analysis, adjusted for age, compared the percentage of regional fat (trunk, leg, or arm fat divided by whole-body fat) between metabolically healthy and unhealthy participants. Trends in regional fat percentage with the number of metabolic abnormalities were assessed by the Jonckheere-Terpstra test. Odds ratios (ORs) and their 95% confidence intervals (CIs) were estimated by logistic regression models. All analyses were performed separately by sex. RESULTS: In non-obese individuals, metabolically unhealthy participants exhibited higher percent trunk fat and lower percent leg fat compared to healthy participants. Additionally, percent trunk fat increased and percent leg fat decreased with the number of metabolic abnormalities. After adjustment for demographic and lifestyle factors, as well as BMI, higher percent trunk fat was associated with increased odds of being metabolically unhealthy [highest vs. lowest quartile: ORs (95%CI) of 1.64 (1.35, 2.00) for men and 2.00 (1.63, 2.46) for women]. Conversely, compared with the lowest quartile, the ORs (95%CI) of metabolically unhealthy phenotype in the highest quartile for percent arm and leg fat were 0.64 (0.53, 0.78) and 0.60 (0.49, 0.74) for men, and 0.72 (0.56, 0.93) and 0.46 (0.36, 0.59) for women, respectively. Significant interactions between BMI and percentage of trunk and leg fat were observed in both sexes, with stronger associations found in individuals with normal weight and overweight. CONCLUSIONS Trunk fat is associated with a higher risk of metabolically unhealthy phenotype, while leg and arm fat are protective factors. Regional fat distribution assessments are crucial for identifying metabolically unhealthy phenotypes, particularly in non-obese individuals.
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Young Adult ; Adipose Tissue ; Body Fat Distribution ; Body Mass Index ; China/epidemiology* ; Cross-Sectional Studies ; Health Surveys ; Phenotype

Objective The Hybrid Education Competence Instrument(HybridEduCom)was sinicized,and its reliability and validity were tested.Methods The translation,cultural adjustment and pre-investigation of HybridEduCom were followed by the Brislin translation model.The reliability and validity of the HybridEduCom was tested by surveying 553 educators in medical and nursing related fields by convenience sampling from March to April 2024.Results The Chinese version of HybridEduCom consisted of 46 items in 5 dimensions:planning and resourcing competence,technology competence,interaction competence,digital pedagogy competence,and ethical competence in the hybrid education.The confirmatory factor analysis resulted in the second-order five-factor model,with the chi-square and degree of freedom ratio being 1.274,approximate root mean square error being 0.022,goodness of fit index being 0.913,and standard fit index(NFI)being 0.934,and Tucker-Lewis and comparative fit index being 0.985.All main evaluation indexes were within the acceptable range of the judgment criteria.The item-content validity index was 0.833-1.000,and the scale-content validity index was 0.968.The Cronbach's α for the whole scale was 0.982,while varied from 0.892 to 0.936 for each dimension.The test-retest reliability of the scale was 0.978.Conclusion The reliability and validity of the Chinese version of HybridEduCom were satisfactory,and it can serve as a valid assessment instrument for the implementation of hybrid education competence of Chinese higher medical and nursing educators.

Objective The Hybrid Education Competence Instrument(HybridEduCom)was sinicized,and its reliability and validity were tested.Methods The translation,cultural adjustment and pre-investigation of HybridEduCom were followed by the Brislin translation model.The reliability and validity of the HybridEduCom was tested by surveying 553 educators in medical and nursing related fields by convenience sampling from March to April 2024.Results The Chinese version of HybridEduCom consisted of 46 items in 5 dimensions:planning and resourcing competence,technology competence,interaction competence,digital pedagogy competence,and ethical competence in the hybrid education.The confirmatory factor analysis resulted in the second-order five-factor model,with the chi-square and degree of freedom ratio being 1.274,approximate root mean square error being 0.022,goodness of fit index being 0.913,and standard fit index(NFI)being 0.934,and Tucker-Lewis and comparative fit index being 0.985.All main evaluation indexes were within the acceptable range of the judgment criteria.The item-content validity index was 0.833-1.000,and the scale-content validity index was 0.968.The Cronbach's α for the whole scale was 0.982,while varied from 0.892 to 0.936 for each dimension.The test-retest reliability of the scale was 0.978.Conclusion The reliability and validity of the Chinese version of HybridEduCom were satisfactory,and it can serve as a valid assessment instrument for the implementation of hybrid education competence of Chinese higher medical and nursing educators.

Objectives:A two-sample,multivariable,bidirectional Mendelian randomization (MR) analysis was conducted to explore the causal relationships between serum micronutrients (including vitamin A,vitamin B6,vitamin B9,vitamin B12,vitamin C,vitamin D,vitamin E,copper,iron,selenium,zinc,calcium,magnesium,and potassium) and coronary atherosclerosis (CA).Methods:Publicly available data from genome-wide association studies in European populations were analyzed,14 serum micronutrients were used as exposure factors and single nucleotide polymorphisms (SNPs) were used as instrumental variables,outcome was defined as CA.A two-sample MR analysis was performed using inverse variance weighted (IVW) method,MR-Egger regression,weighted median estimator (WME),simple model,and weighted model to assess the relationship between each micronutrient and CA.Multivariable MR analysis was used to evaluate the independent impacts of single exposure factors on CA,reverse MR was applied to assess the potential for reverse causality.Sensitivity analysis was conducted using Cochran's Q test,MR-Egger regression,MR-PRESSO,and leave-one-out analysis to evaluate the robustness of the results.Results:The univariable two-sample MR study evidenced the significant associations between serum levels of vitamin A (IVW:OR=0.019,95％CI:0.001-0.451,P=0.014),vitamin B12 (IVW:OR=1.221,95％CI:1.015-1.469,P=0.034),copper (IVW:OR=1.023,95％CI:1.003-1.044,P=0.026),and potassium (IVW:OR=0.837,95％CI:0.714-0.980,P=0.027) with the risk of CA.After adjustment using multivariable MR analysis,independent causal effects on CA were observed for serum levels of vitamin A (IVW:OR=0.016,95％CI:0.001-0.214,P=0.002) and copper (IVW:OR=1.029,95％CI:1.002-1.056,P=0.036).Reverse MR analysis observed a reverse causal relationship between CA risk and serum vitamin A level,though the effect was minimal (IVW:OR=0.999),while no reverse causality was found between CA risk and serum copper level.There was no evidence to support a causal relationship between the remaining serum micronutrients and CA.These findings were robust through extensive sensitivity analyses.Conclusions:The levels of serum vitamin A and copper may relate to the susceptibility of CA in the studied population.

Objectives:A two-sample,multivariable,bidirectional Mendelian randomization (MR) analysis was conducted to explore the causal relationships between serum micronutrients (including vitamin A,vitamin B6,vitamin B9,vitamin B12,vitamin C,vitamin D,vitamin E,copper,iron,selenium,zinc,calcium,magnesium,and potassium) and coronary atherosclerosis (CA).Methods:Publicly available data from genome-wide association studies in European populations were analyzed,14 serum micronutrients were used as exposure factors and single nucleotide polymorphisms (SNPs) were used as instrumental variables,outcome was defined as CA.A two-sample MR analysis was performed using inverse variance weighted (IVW) method,MR-Egger regression,weighted median estimator (WME),simple model,and weighted model to assess the relationship between each micronutrient and CA.Multivariable MR analysis was used to evaluate the independent impacts of single exposure factors on CA,reverse MR was applied to assess the potential for reverse causality.Sensitivity analysis was conducted using Cochran's Q test,MR-Egger regression,MR-PRESSO,and leave-one-out analysis to evaluate the robustness of the results.Results:The univariable two-sample MR study evidenced the significant associations between serum levels of vitamin A (IVW:OR=0.019,95％CI:0.001-0.451,P=0.014),vitamin B12 (IVW:OR=1.221,95％CI:1.015-1.469,P=0.034),copper (IVW:OR=1.023,95％CI:1.003-1.044,P=0.026),and potassium (IVW:OR=0.837,95％CI:0.714-0.980,P=0.027) with the risk of CA.After adjustment using multivariable MR analysis,independent causal effects on CA were observed for serum levels of vitamin A (IVW:OR=0.016,95％CI:0.001-0.214,P=0.002) and copper (IVW:OR=1.029,95％CI:1.002-1.056,P=0.036).Reverse MR analysis observed a reverse causal relationship between CA risk and serum vitamin A level,though the effect was minimal (IVW:OR=0.999),while no reverse causality was found between CA risk and serum copper level.There was no evidence to support a causal relationship between the remaining serum micronutrients and CA.These findings were robust through extensive sensitivity analyses.Conclusions:The levels of serum vitamin A and copper may relate to the susceptibility of CA in the studied population.

Objective:To explore the characteristics of executive function and alterations in monoamine neurotransmitters in methamphetamine-dependent adolescents and to analyse the relationship between executive function and monoamine neurotransmitters.Methods:From January to March 2017, totally 50 female methamphetamine-dependent adolescents and 50 male methamphetamine-dependent adolescents were selected as the experimental group in two compulsory isolation drug rehabilitation centres in Sichuan Province, while normal adolescents (50 males and 50 females) matching the age and gender of the experimental group were recruited as the control group in a school.Executive function was tested by the N-back test, colour word interference test and Hanoita test, and serum levels of dopamine, 5-hydroxytryptamine, epinephrine and norepinephrine were measured using high-performance liquid chromatography with fluorescence detection.Statistical analysis was performed by SPSS 21.0 software.The t-test was used to compare the differences of executive function between the experimental group and control group, and Pearson correlation analysis was used to assess the correlation between executive functions and monoamine neurotransmitters in the experimental group. Results:The differences in the number of correct 0-back responses ((105.38±17.00) vs (114.05±5.29) ) and correct response time ((728.82±110.95) ms vs (652.24±89.88) ms), number of correct 2-back responses ((54.78±23.04) vs ( 74.01±12.01)) and correct response time ((585.74±245.35) ms vs (477.44±181.26) ms), the number of correct responses in the Stroop task ((29.68±7.19) vs (33.60±7.36)) and correct response time ((973.73±228.27) ms vs ( 916.11±98.54) ms), and the number of TOH movement steps ((99.42±32.83) vs (87.70±32.55)) were statistically significant in the experimental group compared to the control group(all P<0.05). In the experimental group, serum dopamine ((5.06±1.55) μg/mL vs (3.18±1.97) μg/mL), 5-hydroxytryptamine ((351.94±119.90) ng/mL vs (149.27±69.24) ng/mL), epinephrine ((555.66±225.55) ng/mL vs (129.20± 81.39) ng/mL), and norepinephrine ((3.63±0.96) ng/mL vs (2.03±0.64) ng/mL) were higher than those in the control group, all with statistically significant differences (all P<0.01). Correlation analysis of executive function with monoamine neurotransmitters showed that serum dopamine level in the experimental group was correlated significantly with the number of correct 0-back, 2-back responses, correct response time, and TOH movement steps ( r=-0.194, 0.170, -0.163, 0.198, 0.196, all P<0.05), 5-hydroxytryptamine level was negatively correlated with the number of correct 0-back, 2-back responses( r=-0.267, -0.375), and was positively correlated with correct response time ( r=0.243, 0.177). Adrenaline content was significantly correlated with the number of correct 0-back and 2-back responses, correct response time, and the number of correct Stroop test responses, correct response time ( r=-0.340, 0.212, -0.415, 0.170, -0.212, 0.178, all P<0.05). Norepinephrine level was correlated significantly with the number of correct 0-back responses, correct response times, correct 2-back responses, correct Stroop test responses, and TOH movement steps ( r=-0.245, 0.266, -0.291, -0.193, 0.226, all P<0.05). Conclusion:The executive function of methamphetamine-dependent adolescents is damaged to a certain extent and the content of monoamine neurotransmitter in serum is increased.There is a correlation between impairment in executive function and serum levels of monoamine neurotransmitters.

Solar energy, which is essential for the origin and evolution of all life forms on Earth, can be objectively recorded through attributes such as climatic ambient temperature (CAT), ultraviolet radiation (UVR), and sunlight duration (SD). These attributes have specific geographical variations and may cause different adaptation traits. However, the adaptation profile of each attribute and the selective role of solar energy as a whole during human evolution remain elusive. Here, we performed a genome-wide adaptation study with respect to CAT, UVR, and SD using the Human Genome Diversity Project-Centre Etude Polymorphism Humain (HGDP-CEPH) panel data. We singled out CAT as the most important driving force with the highest number of adaptive loci (6 SNPs at the genome-wide 1 × 10-7 level;401 at the suggestive 1 × 10-5 level). Five of the six genome-wide significant adaptation SNPs were successfully replicated in an independent Chinese population (N = 1395). The corresponding 316 CAT adaptation genes were mostly involved in development and immunity. In addition, 265 (84％) genes were related to at least one genome-wide associationstudy (GWAS)-mapped human trait, being significantly enriched in anthropometric loci such as those associated with body mass index (x2;P<0.005), immunity, metabolic syndrome, and cancer (x2;P<0.05). For these adaptive SNPs, balancing selection was evident in Euro-Asians, whereas obvious positive and/or purifying selection was observed in Africans. Taken together, our study indicates that CAT is the most important attribute of solar energy that has driven genetic adaptation in development and immunity among global human populations. It also supports the non-neutral hypothesis for the origin of disease-predisposition alleles in common diseases.

In order to construct an Escherichia coli strain with high sensitivity and specificity to detect arsenic ion using fluorescence as reporter, a sensitive strain to arsenic ion was obtained by knocking out the gene arsB that acts as an arsenic efflux pump. The pET28b vector containing arsenite detecting cassette Pars-arsR-egfp was constructed and then transformed into arsB deleted mutant. Measuring conditions of this constructed whole-cell biosensor were optimized and its linear concentration range, limit of detection and specificity were determined. This modified biosensor was much more sensitive than that using wild-type strain as host. The optimal detection range of As³⁺ concentration was 0.013 to 42.71 μmol/L, and the limit concentration of detection was as low as 5.13 nmol/L. Thus we successfully improved the sensitivity of arsenite detecting biosensor by modification of E. coli genome, which may provide useful strategies for development and optimization of microbial sensors to detect heavy metals.
Arsenites ; analysis ; Biosensing Techniques ; Escherichia coli ; genetics ; Gene Knockout Techniques ; Metals, Heavy ; Microorganisms, Genetically-Modified ; Water ; chemistry

Objective To investigate the relationship between dystrobrevin binding protein 1 (DTNBP1) gene polymorphisms and cognitive function in patients with recurrent depressive disorder.Methods 49 recurrent depressive disorder patients and 60 age-,gender-and education-matched normal controls were recruited in this case-control study.Clinical symptoms were evaluated by HAMD and Wechsler adult memory scale,Wisconsin card sorting test,trail making test(TMT),verbal fluency test (VFT),S troop colorword test were used to evaluate cognitive function.The gene polymorphisms of DTNBP1 were determined by PCR-RFLP technique.SPSS 16.0 was used for statistical analysis.Results The distributions of genotypes in the patients and controls were consistent with Hardy-Weinberg equilibrium(P＞0.05).The time in trail making A task (73.4±30.5 vs 56.2± 11.7),the digital Span (9.6±2.3 vs 8.1±3.0),visual reproduction (9.6±2.3 vs 7.4±3.1),paired association learning (9.7±2.2 vs 6.1±4.2) and Spilling forward (9.1 ±2.4 vs 7.2±2.9) in Wechsler adult memory scale,the categories completed (1.8 ± 1.6 vs 2.5 ± 1.8),total trials (47.6± 1.1 vs 47.3± 0.7) and error numbers (28.5±5.3 vs 24.1±9.3) in WCST performs,and the word meaning interference score (18.4±9.0 vs 25.3±9.5) in Stroop color-word test were monitored.Patients with the genotype of rs9476867 G/G got higher interference number than patients with DTNBP1 rs9476867 C/G and C/C,and patients with the genotype of rs16876738 A/G spent more time to finish TMT-A than patients with rs16876738 G/G and A/A.G/G single nucleotide polymorphism (SNP) of rs9476867 and A/G SNP of rs16876738 affected attention ability.Conclusion DTNBP 1 gene polymorphisms are correlated with cognitive function in recurrent depressive disorder patients.

BACKGROUND:The correlation between blood stasis syndrome and non-blood stasis syndrome of lumbar intervertebral disc protrusion remains unclear.
OBJECTIVE:To construct serum protein pattern model for diagnosing blood stasis syndrome of lumbar intervertebral disc protrusion.
METHODS:A total of 180 cases were included in this study and divided into treatment group (120 patients with lumbar intervertebral disc protrusion) and control group (60 healthy cases from physical examination). Furthermore treatment group was equal y assigned into blood stasis syndrome subgroup and non-blood stasis syndrome subgroup, with 60 cases in each subgroup. The involved cases were wel matched in nations, genders and ages. Serum samples of peripheral blood from the 180 cases were col ected. Surface-enhanced laser desorption/inionation time of flight mass spectrometry and ProteinChip technology were employed to detect and plot protein mass spectrum. The protein peak values were identified using Biomarker Wizard software. Then serum diagnosis model of blood stasis syndrome of lumbar intervertebral disc protrusion was established. The obtained models were verified through double blind method. The differential proteins were searched by ExPASy data.
RESULTS AND CONCLUSION:We detected that peak values of eleven proteins had statistical significance (P<0.05) from the involved 180 cases. Among them, two proteins were highly expressed while the other nine proteins were lowly expressed. Serum protein pattern model for diagnosing blood stasis syndrome of lumbar intervertebral disc protrusion was established through Biomarker Patterns software, and the sensibility was 86.667%, the specificity was 94.167%, the positive predictive value was 88.136%. There are a variety of abnormal y expressed proteins in the serum of the patients with blood stasis syndrome of lumbar intervertebral disc protrusion. The serum protein pattern model involved eleven different proteins can be used to diagnose blood stasis syndrome of lumbar intervertebral disc protrusion.