Objective:To analyze the correlation between recessive obesity and lifestyle in physical examination population.Methods:A total of 1 026 people with body mass index (BMI) of 18.5<-24.9 kg/m 2 who completed physical examination in the Health Management Center of Affiliated Hospital of Qingdao University from March 1, 2019 to September 31, 2019 were included in this study. Inbody770 body composition analyzer was used to check the percent body fat, and the subjects were divided into recessive obesity group (405 cases) and control group (621 cases) with the results. The results of routine physical examination were compared between the two groups. The data of five dimensions including marital status, education level, income, occupation and dietary habits were obtained with lifestyle questionnaire. The correlation between recessive obesity and lifestyle was analyzed by binary logistic regression. Results:The proportion of women, BMI, total cholesterol, low density lipoprotein cholesterol and waist-hip ratio were significantly higher in the recessive obesity group than those in the control group [65.2% vs 27.1%, (21.83±1.63) vs (21.56±1.74) kg/m2, 4.68 (4.18, 4.22) vs 4.39 (4.13, 4.83) mmol/L, 2.54 (2.08, 3.00) vs 2.24 (2.13, 2.78) mmol/L, 0.87 (0.84, 0.90) vs 0.82 (0.80, 0.86)]; while the systolic blood pressure, albumin and aspartate aminotransferase were significantly lower [(114.99±11.49) vs (118.97±11.84) mmHg (1 mmHg=0.133 kPa), (45.13±2.83) vs (46.37±2.60) g/L, 15 (12, 18) vs 16 (14, 20) U/L] (all P<0.05). Unmarried ( OR=0.200, 95% CI: 0.123-0.325), eating less white meat [occasionally eating, OR=0.565, 95% CI: 0.304-1.053; rarely eating, OR=0.186, 95% CI: 0.094-0.368], eating less spicy food (occasionally eating, OR=0.298, 95% CI: 0.171-0.519; rarely eating, OR=0.828, 95% CI: 0.487-1.408), drinking more water (1 000-2 000 ml/d, OR=0.366, 95%CI: 0.218-0.615; ≥2 000 ml/d, OR=0.176, 95% CI: 0.087-0.356) were negatively correlated with the occurrence of recessive obesity (all P<0.05). Eating takeout food frequently ( OR=4.639, 95% CI: 2.412-8.923), eating too much edible oil ( OR=10.900, 95% CI: 4.376-27.148), drinking beer ( OR=3.702, 95% CI: 2.290-5.982) and infrequent physical exercise (occasional, OR=13.417, 95% CI: 6.907-26.066; rarely, OR=28.290, 95% CI: 13.532-59.142) were positively correlated with the occurrence of recessive obesity (all P<0.05). Conclusions:There is a correlation between recessive obesity and the lifestyle in physical examination population. Attention should be paid to control the intake of white meat, spicy food, edible oil and beer, ensure the amount of drinking water, reduce the frequency of takeout food, and increase physical exercise to prevent recessive obesity.

OBJECTIVE: To explore the genetic basis for a child with metachromatic leukodystrophy (MLD). METHODS: Clinical data of the patient was collected. Genomic DNA was extracted from peripheral blood samples of the child and his family members. Potential variant was screened by whole exome sequencing (WES), and candidate variant was verified by Sanger sequencing. The pathogenicity the variant was analyzed by multiple sequence alignment of the amino acid sequence and three-dimensional model prediction of its protein product. RESULTS: The child was found to harbor compound heterozygous variants c.257G>A (p.R86Q) and c.467del (p.G156Afs*6) of the ARSA gene, among which the c.467del (p.G156Afs*6) frameshift variation was unreported previously. Multiple sequence alignment showed that the site of the c.257G>A (p.R86Q) missense variant is highly conserved. Three-dimensional structure modeling analysis showed that the partial deletion due to the p.G156Afs*6 variant may cause significant alteration of the structure of ARSA protein. CONCLUSION The discovery of novel variant in ARSA has enriched the mutational spectrum of MLD and may facilitate the understanding of the genotype-phenotype correlation of MLD.
Cerebroside-Sulfatase/genetics* ; DNA ; Genetic Association Studies ; Humans ; Leukodystrophy, Metachromatic/genetics* ; Mutation

OBJECTIVES: Patients from different social environments and cultural backgrounds have different nursing needs. If nurses ignore the cultural differences of patients, it is easy to lead to the strained nurse-patient relationship, affect the nursing effect and cause harm to patients. Critical cultural competence (CCC) can help nurses to meet the nursing needs of patients from different cultural backgrounds, which is beneficial to building a harmonious nurse-patient relationship and improving the quality of nursing. Almutairi, et al designed the Critical Cultural Competence Scale (CCCS) which can be used to evaluate accurately nurses' CCC. No studies have reported the development of a critical cultural competence measurement tool for nurses or the introduction of foreign scales in China. This study aims to conduct Chinese and cross-cultural debugging and test the reliability of the English version of the CCCS in order to form CCCS suitable for Chinese cultural background and provide an effective evaluation tool for investigating the current situation of clinical nurses' CCC. METHODS: This study used Brislin's back-translation model to translate and back-translation the English version of CCCS. The Chinese version of CCCS was then created through cross-cultural debugging by expert consultation and a pre-survey with a sample size of 30 clinical nurses. From August to October 2019, 580 clinical nurses were surveyed using a whole group sampling method. The participants were randomly divided into 2 groups with a 7꞉3 ratio. One group (n=406) was used for exploratory factor analysis and reliability analysis, while the other group (n=174) was used for confirmatory factor analysis. Six experts used the scale-level content validity index (S-CVI) and the item-level content validity index (I-CVI) to assess content validity. In the exploratory factor analysis, items were screened using the critical ratio method, and were tested using the KMO (Kalser-Meyer-Olkin) index, Bartlett's sphericity test, and principal component analysis. In the confirmatory factor analysis, average variance extracted (AVE), goodness of fit index (GFI), adjusted goodness of fit index (AGFI), and root mean square error of approximation (RMSEA) were used to assess the degree of fit of the constructed model. For the total scale and the 4 subscales, the Cronbach's α coefficient, split-half reliability, and retest reliability were used to assess the scale's reliability. RESULTS: The S-CVI was 0.930, while the I-CVI ranged from 0.833 to 0.944. For all items, the critical ratio exceeded 3, and the difference between the high and low subgroups was statistically significant (P<0.05). Exploratory factor analysis revealed critical knowledge subscale had a KMO value of 0.676, with the total scale and other 3 subscales all having a KMO value >0.8 and a chi-square value of 814.32 to 12 442.45 for the Bartlett's spherical test, with degree of freedom ranging from 21 to 136 (P<0.001), indicating that all items were suitable for factor analysis. The principal component analysis showed that 17, 12, 7, and 7 items were extracted from the 4 subscales, with 4, 3, 2, and 2 components whose eigenvalues were more than 1, and the cumulative variance contribution was 66.0%, 54.3%, 56.6%, and 70.2%, respectively. The confirmatory factor analysis showed that the AVE of the 4 subscales were 0.637, 0.499, 0.560, and 0.565, GFI was 0.904, AGFI was 0.863, and RMSEA was 0.076. The Cronbach's α coefficient for the total scale and subscales ranged from 0.811 to 0.878, the split-half reliability ranged from 0.707 to 0.842, and the retest reliability was 0.827. CONCLUSIONS The Chinese version of the CCCS has good reliability and validity, and it can be used as a valid assessment tool for clinical nurses' critical cultural competence in China.
Humans ; Cultural Competency ; Reproducibility of Results ; Psychometrics/methods* ; Factor Analysis, Statistical ; China

Organoid models are used to study kidney physiology, such as the assessment of nephrotoxicity and underlying disease processes. Personalized human pluripotent stem cell-derived kidney organoids are ideal models for compound toxicity studies, but there is a need to accelerate basic and translational research in the field. Here, we developed an automated continuous imaging setup with the "read-on-ski" law of control to maximize temporal resolution with minimum culture plate vibration. High-accuracy performance was achieved: organoid screening and imaging were performed at a spatial resolution of 1.1 μm for the entire multi-well plate under 3 min. We used the in-house developed multi-well spinning device and cisplatin-induced nephrotoxicity model to evaluate the toxicity in kidney organoids using this system. The acquired images were processed via machine learning-based classification and segmentation algorithms, and the toxicity in kidney organoids was determined with 95% accuracy. The results obtained by the automated "read-on-ski" imaging device, combined with label-free and non-invasive algorithms for detection, were verified using conventional biological procedures. Taking advantage of the close-to-in vivo-kidney organoid model, this new development opens the door for further application of scaled-up screening using organoids in basic research and drug discovery.
Humans ; Kidney ; Organoids ; Pluripotent Stem Cells