Constructing artificial gap junctions to mediate intercellular signal and mass transport.

Natural gap junctions are a type of channel protein responsible for intercellular signalling and mass communication. However, the scope of applications for these proteins is limited as they cannot be prepared at a large scale and are unable to spontaneously insert into cell membranes in vitro. The construction of artificial gap junctions may provide an alternative strategy for preparing analogues of the natural proteins and bottom-up building blocks necessary for the synthesis of artificial cells. Here we show the construction of artificial gap junction channels from unimolecular tubular molecules consisting of alternately arranged positively and negatively charged pillar[5]arene motifs. These molecules feature a hydrophobic-hydrophilic-hydrophobic triblock structure that allows them to efficiently insert into two adjacent plasma membranes and stretch across the gap between the two membranes to form gap junctions. Similar to natural gap junction channels, the synthetic channels could mediate intercellular signal coupling and reactive oxygen species transmission, leading to cellular activity.

Multimodal probing of T-cell recognition with hexapod heterostructures.

Studies using antigen-presenting systems at the single-cell and ensemble levels can provide complementary insights into T-cell signaling and activation. Although crucial for advancing basic immunology and immunotherapy, there is a notable absence of synthetic material toolkits that examine T cells at both levels, and especially those capable of single-molecule-level manipulation. Here we devise a biomimetic antigen-presenting system (bAPS) for single-cell stimulation and ensemble modulation of T-cell recognition. Our bAPS uses hexapod heterostructures composed of a submicrometer cubic hematite core (α-Fe2O3) and nanostructured silica branches with diverse surface modifications. At single-molecule resolution, we show T-cell activation by a single agonist peptide-loaded major histocompatibility complex; distinct T-cell receptor (TCR) responses to structurally similar peptides that differ by only one amino acid; and the superior antigen recognition sensitivity of TCRs compared with that of chimeric antigen receptors (CARs). We also demonstrate how the magnetic field-induced rotation of hexapods amplifies the immune responses in suspended T and CAR-T cells. In addition, we establish our bAPS as a precise and scalable method for identifying stimulatory antigen-specific TCRs at the single-cell level. Thus, our multimodal bAPS represents a unique biointerface tool for investigating T-cell recognition, signaling and function.

pan-MHC and cross-Species Prediction of T Cell Receptor-Antigen Binding.

Profiling the binding of T cell receptors (TCRs) of T cells to antigenic peptides presented by MHC proteins is one of the most important unsolved problems in modern immunology. Experimental methods to probe TCR-antigen interactions are slow, labor-intensive, costly, and yield moderate throughput. To address this problem, we developed pMTnet-omni, an Artificial Intelligence (AI) system based on hybrid protein sequence and structure information, to predict the pairing of TCRs of αß T cells with peptide-MHC complexes (pMHCs). pMTnet-omni is capable of handling peptides presented by both class I and II pMHCs, and capable of handling both human and mouse TCR-pMHC pairs, through information sharing enabled this hybrid design. pMTnet-omni achieves a high overall Area Under the Curve of Receiver Operator Characteristics (AUROC) of 0.888, which surpasses competing tools by a large margin. We showed that pMTnet-omni can distinguish binding affinity of TCRs with similar sequences. Across a range of datasets from various biological contexts, pMTnet-omni characterized the longitudinal evolution and spatial heterogeneity of TCR-pMHC interactions and their functional impact. We successfully developed a biomarker based on pMTnet-omni for predicting immune-related adverse events of immune checkpoint inhibitor (ICI) treatment in a cohort of 57 ICI-treated patients. pMTnet-omni represents a major advance towards developing a clinically usable AI system for TCR-pMHC pairing prediction that can aid the design and implementation of TCR-based immunotherapeutics.

National and subnational trends in cancer burden in China, 2005-20: an analysis of national mortality surveillance data.

BACKGROUND: Cancer has been the leading cause of death since 2010 in China, with increasing incidence, mortality, and burden. We aimed to assess national and subnational changes in the cancer burden from 2005 to 2020 in China using data from the National Mortality Surveillance System. METHODS: We extracted data on cancer-related deaths from the National Mortality Surveillance System, which accounts for 24·3% of the country's population with national and provincial representativeness. Data for the surveillance population stratified by age and sex were extracted from the National Bureau of Statistics of China. We estimated mortality and years of life lost (YLLs) for all cancers and for 23 cancer groups by age and sex, nationally, and for 31 provinces in China between 2005 and 2020. We calculated age-standardised mortality and YLL rates using the China 2020 census as the reference population. Average annual percent changes in age-standardised rates for mortality and YLLs were calculated to assess trends over the study period. Decomposition analysis was used to assess the drivers of changes in cancer-related death due to three explanatory components: population growth, population ageing, and age-specific mortality rates in China. FINDINGS: The total number of cancer-related deaths increased by 21·6% to 2 397 772 and YLLs increased by 5·0% to 56 598 975 between 2005 and 2020. The three leading fatal cancer types remained stable for both sexes over the study period: tracheal, bronchus, and lung cancer; liver cancer; and stomach cancer. The fourth and fifth leading cancers also remained stable among males (oesophageal, and colon and rectum), while colon and rectum cancer replaced oesophageal cancer as the fourth and breast cancer replaced colon and rectum cancer as the fifth leading cause of cancer-related death among females. Age-standardised mortality rates and age-standardised YLL rates for almost all cancer types (except for prostate for male and multiple myeloma for female) decreased significantly in both sexes in urban areas. Age-standardised YLL rates increased for about half of all cancers for both sexes in rural areas. Leading fatal types were leukaemia and brain and nervous system cancer in younger groups (aged 0-19 years); liver, tracheal, bronchus, and lung, or breast cancers in middle-aged groups (aged 40-59 years); and tracheal, bronchus, and lung, liver, or stomach cancers in older adults (aged ≥60 years) in 2020. The leading causes of cancer-related mortality varied for each province, with tracheal, bronchus, and lung or liver cancer at the top in 30 provinces. INTERPRETATION: The cancer burden in China appeared to be shifting towards that in high-income countries from 2005 to 2020. Adjustments to existing health plans and actions are needed to reduce the burdens of tracheal, bronchus, and lung cancer or other leading and emerging cancers. FUNDING: National Key Research and Development Program of China.

Transfer learning with false negative control improves polygenic risk prediction.

Polygenic risk score (PRS) is a quantity that aggregates the effects of variants across the genome and estimates an individual's genetic predisposition for a given trait. PRS analysis typically contains two input data sets: base data for effect size estimation and target data for individual-level prediction. Given the availability of large-scale base data, it becomes more common that the ancestral background of base and target data do not perfectly match. In this paper, we treat the GWAS summary information obtained in the base data as knowledge learned from a pre-trained model, and adopt a transfer learning framework to effectively leverage the knowledge learned from the base data that may or may not have similar ancestral background as the target samples to build prediction models for target individuals. Our proposed transfer learning framework consists of two main steps: (1) conducting false negative control (FNC) marginal screening to extract useful knowledge from the base data; and (2) performing joint model training to integrate the knowledge extracted from base data with the target training data for accurate trans-data prediction. This new approach can significantly enhance the computational and statistical efficiency of joint-model training, alleviate over-fitting, and facilitate more accurate trans-data prediction when heterogeneity level between target and base data sets is small or high.

Predictors of Depression and Anxiety among Medical Students.

BACKGROUND: Medical undergraduates are more prone to emotional distress in comparison to the general population and non-medical undergraduates. This study aimed to identify the prevalence and factors associated with depression and anxiety symptoms among undergraduate medical students. METHODS: A cross-sectional study was conducted among 204 medical students in a medical institute in Kathmandu. Depression, Anxiety and Stress Scale-42 was used to identify the prevalence of depression and anxiety symptoms. The data were analyzed using multivariable logistic regression models. RESULTS: The prevalence of depression and anxiety symptoms was 30.9% and 38.7% respectively. Depression symptoms were more likely to be prevalent among fourth and fifth-year students, with an adjusted odds ratio (aOR 1.96, 95% CI: 1.03-3.75) compared to second and third-year students, and those who failed in the last academic examination (aOR 2.55, 95% CI: 1.28-5.09). Anxiety symptoms were more prevalent among male students (aOR 2.11, 95% CI: 1.04-4.27), those who were from the relatively less advantaged ethnic group (aOR 2.08, 95% CI: 1.04-4.16) and those who stayed outside the dormitory (aOR 2.90, 95% CI: 1.46-5.78). CONCLUSIONS: The prevalence of depression and anxiety symptoms among medical students was high. Psychological support is needed to ensure the mental well-being of medical students.

Determinants of institutional delivery service utilization in Nepal.

BACKGROUND: Maternal mortality continues to be a pressing concern in global health, presenting an enduring and unmet challenge for healthcare systems worldwide. Utilization of institutional delivery services has been established as a proven intervention to mitigate life-threatening risks for both mothers and newborns. Exploring the determinants of institutional delivery is crucial to improve and enhance maternal and newborn safety. This study aimed to assess the contextual and individual factors associated with institutional delivery in Nepal. METHODS: This study utilized that data form Nepal Multiple Indicator Survey 2019, which included a sample of 1,932 women who had given birth within the two years prior to the survey. A multilevel logistic regression analysis was performed to determine the significant external environment, contextual and individual predictors of institutional delivery. RESULTS: The women from Madhesh province [Adjusted Odds Ratio (aOR): 0.32, 95% Confidence Interval (CI): 0.17-0.61], as compared to Bagmati province, women from rural areas (aOR: 0.55, 95% CI: 0.39-0.78) as compared to urban areas, and women from a relatively less-advantaged ethnic groups (aOR: 0.52, 95% CI: 0.35-0.76) as compared to the relatively advantaged ethnic groups were less likely to deliver in health institutions. Similarly, women from the poorest (aOR: 0.09, 95% CI: 0.04-0.22) and second wealth groups (aOR: 0.29, 95% CI: 0.13-0.64) were less likely to attend institute for delivery compared to women from the richest household. Women with formal education (aOR: 1.65, 95% CI: 1.16-2.35) were more likely to deliver in an institution over uneducated women. Moreover, the uptake of institutional delivery increased by 59% (aOR: 1.59, 95% CI: 1.43-1.75) for each additional ANC visit. CONCLUSION: The findings highlight the importance of stepping up efforts to achieve universal health care from the standpoint of long-term government investment, focusing particularly on illiterate women in rural areas, poorer households, and socially disadvantaged groups. Expanding the benefits of maternal benefit schemes targeting the women from the poorest households in the communities is recommended.

Predictive role of serum C-peptide in new-onset renal dysfunction in type 2 diabetes: a longitudinal observational study.

Background: Our previous cross-sectional study has demonstrated the independently non-linear relationship between fasting C-peptide with renal dysfunction odds in patients with type 2 diabetes (T2D) in China. This longitudinal observational study aims to explore the role of serum C-peptide in risk prediction of new-onset renal dysfunction, then construct a predictive model based on serum C-peptide and other clinical parameters. Methods: The patients with T2D and normal renal function at baseline were recruited in this study. The LASSO algorithm was performed to filter potential predictors from the baseline variables. Logistic regression (LR) was performed to construct the predictive model for new-onset renal dysfunction risk. Power analysis was performed to assess the statistical power of the model. Results: During a 2-year follow-up period, 21.08% (35/166) of subjects with T2D and normal renal function at baseline progressed to renal dysfunction. Six predictors were determined using LASSO regression, including baseline albumin-to-creatinine ratio, glycated hemoglobin, hypertension, retinol-binding protein-to-creatinine ratio, quartiles of fasting C-peptide, and quartiles of fasting C-peptide to 2h postprandial C-peptide ratio. These 6 predictors were incorporated to develop model for renal dysfunction risk prediction using LR. Finally, the LR model achieved a high efficiency, with an AUC of 0.83 (0.76 - 0.91), an accuracy of 75.80%, a sensitivity of 88.60%, and a specificity of 70.80%. According to the power analysis, the statistical power of the LR model was found to be 0.81, which was at a relatively high level. Finally, a nomogram was developed to make the model more available for individualized prediction in clinical practice. Conclusion: Our results indicated that the baseline level of serum C-peptide had the potential role in the risk prediction of new-onset renal dysfunction. The LR model demonstrated high efficiency and had the potential to guide individualized risk assessments for renal dysfunction in clinical practice.

The association between nasal mucosa bacteria and serum metals in children with nasal diseases.

Allergic rhinitis (AR) and adenoid hypertrophy (AH) are common nasal diseases in children. Studies have shown that heavy metals are environmental risk factors for nasal diseases, and the pathogenic mechanisms may be related to dysregulation of nasal mucosal microbiota. However, it is unclear how heavy metal exposure relates to the nasal mucosal microbiota in nasal diseases. Therefore, we explored serum metal exposure levels and nasal mucosal microbiota composition in children with different nasal disease, and further studied the potential correlation between metal exposure and disease-related taxa. There were 64 children recruited for this study. The 23 metals concentrations in serum were measured by inductively coupled plasma mass spectrometry, and nasal mucosal bacteria was identified by 16S rRNA sequencing. Nasal diseases (AR and AH) in children were associated with alterations in the abundance and diversity of the nasal mucosal microbiota. The nasal microbiota of children with AR showed lower diversity, while the microbiota of children with AH showed higher diversity. Linear discriminant analysis Effect Size showed 108 differentially abundant taxa between AR and control groups, 35 differentially abundant taxa among large adenoid, moderate adenoid and small adenoid groups. The serum zinc concentration was negatively correlated with Pielou's eveness index and Simpson's Index in children classified by adenoid size. The spearman correlation analysis showed that multiple disease-related taxa were closely associated with metal concentrations in serum. Our findings may support a link between metal exposure and the diversity and composition of nasal bacteria in children with nasal disease, which present new evidence for the effects of metals on children health.

Sex-Specific Differences in Left Ventricular Mass and Volumes with Body Mass Index among Children Aged 6 to 8: A Cross-Sectional Study in China.

Few studies have examined the sex differences in left ventricle (LV) structure and physiology from early life stages. We aimed to assess the role of sex and overweight/obesity on left ventricular mass (LVM) and LV volume in Chinese children without preexisting cardiovascular risk factors. We selected 934 healthy children aged 6-8 years from an existing cohort in Beijing, China. Linear regression models were used to regress body mass index (BMI), fat mass, systolic blood pressure, diastolic blood pressure, waist circumference, and visceral fat area (VFA) with LVM, left ventricle end-diastolic volume (LVEDV) and end-systolic volume (LVESV). Higher BMI, fat mass, waist circumference, VFA, and stroke volume (SV) predicted higher LVM, LVEDV, and LVESV in both sexes. Multivariable analysis showed that boys with an elevated BMI had greater LV hypertrophy. LVEDV and LVESV were higher among boys than among girls and increased with higher BMI in both boys and girls. LVEDV and LVESV were associated with VFA in boys. We observed sex differences in LVM, LVESV, and LVEDV among prepubertal children, independent of obesity, with higher values observed in boys. Sex differences in cardiac structure in children may help explain the higher incidence of cardiovascular disease in male adults. Whether interventions to reduce childhood obesity can improve the trajectory of cardiac dynamics is worth investigating.

Burden of non-communicable diseases among adolescents and young adults aged 10-24 years in the South-East Asia and Western Pacific regions, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019.

BACKGROUND: Although non-communicable diseases (NCDs) remain the leading causes of mortality and disability worldwide, little comprehensive or recent evidence of the burden of NCDs among adolescents and young adults in the South-East Asia and Western Pacific regions is available. We aimed to report population shifts in people aged 10-24 years and their NCD burden from 1990 to 2019 using data from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. METHODS: We retrieved data from GBD 2019 for people aged 10-24 years in the South-East Asia and Western Pacific regions from 1990 to 2019. We presented population shifts and analysed deaths, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) for NCDs. We also quantified the associations of deaths and DALYs with the Socio-demographic Index (SDI) and Universal Health Coverage (UHC) effective coverage index using Spearman correlation and linear regression analyses. Percentages are reported to 1 decimal place and rates are reported to 2 decimal places. FINDINGS: In 2019, there were 559·2 million young people aged 10-24 years in the South-East Asia region and 335·0 million in the Western Pacific region; India and China remained the countries with greatest number of this age group. In 1990-2019, India had an absolute increase of 139·4 million adolescents, while China had a decrease of 134·3 million. In 2019, NCDs accounted for 27·3% (95% uncertainty interval 25·1 to 29·2) and 34·6% (33·5 to 36·1) of total deaths, and 49·8% (45·3 to 54·4) and 65·1% (60·6 to 69·3) of total DALYs in the South-East Asia and the Western Pacific regions, respectively. Neoplasms, cardiovascular diseases, and mental disorders were the leading causes of NCD burden in 42 countries. Kiribati had the highest rates of deaths (62·82 [50·77 to 76·11] per 100 000 population), YLLs (4364·73 [3545·04 to 5275·63] per 100 000 population), and DALYs (9368·73 [7713·65 to 11340·99] per 100 000 population) for NCDs, whereas Australia (6976·51 [5044·46 to 9190·01] per 100 000 population) and New Zealand (6716·81 [4827·25 to 8827·69] per 100 000 population) had the largest rates of YLDs due to NCDs. From 1990 to 2019 across both regions, the rate of death due to NCDs declined by over a third (-32·8% [-41·1 to -22·9] in the South-East Asia region and -40·0% [-48·6 to -30·4] in the Western Pacific region), and DALYs decreased by about 12% (-12·0% [-16·8 to -7·7] in the South-East Asia region and -12·8% [-17·7 to -8·7] in the Western Pacific region), whereas the proportion of NCD burden relative to all-cause burden increased (45·7% [32·9 to 61·7] for deaths and 41·2% [35·2 to 48·8] for DALYs in the South-East Asia region; 11·8% [7·1 to 21·5] for deaths and 18·2% [14·6 to 22·0] for DALYs in the Western Pacific region). The rate of deaths and DALYs due to NCDs decreased monotonically alongside increases in SDI (rs=-0·57 [95% CI -0·81 to -0·32] for deaths and rs=-0·30 [-0·61 to 0·03] for DALYs). The rate of deaths (rs=-0·89 [95% CI -0·97 to -0·80]) and DALYs (rs=-0·67 [-0·93 to -0·41]) due to NCDs also decreased alongside increases in the UHC effective coverage index. INTERPRETATION: Specific preventive and health service measures are needed for adolescents and young adults in countries with different levels of socioeconomic development to reduce the burden from NCDs. FUNDING: National Natural Science Foundation of China. TRANSLATION: For the Chinese translation of the abstract see Supplementary Materials section.

Mesenchymal stromal cell-derived magnetic nanovesicles for enhanced skin retention and hair follicle growth.

BACKGROUND AIMS: Extracellular vesicles and exosome-mimetic nanovesicles (NVs) derived from mesenchymal stromal cells (MSCs) have emerged as promising to promote hair growth. However, short local skin retention after subcutaneous administration hinders their clinical applications. METHODS: In this study, we prepared magnetic nanovesicles (MNVs) from iron oxide nanoparticle-incorporated MSCs. MNVs contained more therapeutic growth factors than NVs derived from naive MSCs, and their localization and internalization were manipulated by external magnetic field. RESULTS: Following the subcutaneous injection of MNVs into a mouse model of depilation-induced hair regeneration, the magnetic attraction increased their skin retention. Then, the cellular proliferation and ß-catenin signaling in hair follicles (HF) were markedly enhanced by MNV injection and magnetic field application. Furthermore, an acceleration of HF growth was revealed by histological analysis. CONCLUSIONS: The proposed strategy can enhance the therapeutic potential of MSC-derived NVs for hair regeneration and other dermatological diseases.

A systematic review of the relationship between normal range of serum thyroid-stimulating hormone and bone mineral density in the postmenopausal women.

OBJECTIVE: The aim of this study was adopts meta-analysis in evaluating the correlation between TSH and BMD, as well as osteoporosis in the postmenopausal women with normal thyroid function. METHODS: Six databases were searched for articles concerning correlation between TSH and BMD in postmenopausal women. The retrieval time was set from the date of database establishment to November 30, 2020. Revman5.3 and Stata12.0 software were used for meta-analysis. RESULTS: A total of 19 articles were incorporated. The Summary Fisher' Z of the correlation between TSH and BMD was 0.16, 95% CI (0.00, 0.32), and the correlation coefficient of Summary Fisher' Z conversion was 0.158. Study on the relationship between TSH and osteoporosis based on OR demonstrated that the combined OR was 1.76, 95% CI (1.27, 2.45), P < 0.05. The subgroup analyzing results displayed that the risk of osteoporosis of the subjects from community with low TSH was 1.89, 95% CI (1.43, 2.49). The risk of osteoporosis for subjects with low TSH and from hospitals was 1.36, 95% CI (0.46, 3.99); 1.84 for subjects with low TSH and anti-osteoporosis drugs, 95% CI (1.05, 3.22); and 1.74 for those with low TSH but not taking anti-osteoporosis drugs, 95% CI (1.08, 2.82). The dose-response relationship showed that the risk of osteoporosis tended to decrease when TSH was more than 2.5mIu/L. CONCLUSION: The serum TSH is positively related with BMD in postmenopausal women, and high TSH (> 2.5 mIu/L) within the normal range is possibly helpful to decrease the risk of osteoporosis in postmenopausal women.

Predictors of diarrhea among children under 24 months in Nepal: A multilevel analysis of multiple indicator cluster survey 2019.

BACKGROUND: Diarrhea has remained an unmet challenge in global child health. Its severity may be worse than reported in resource-limited settings. Understanding changing epidemiology is critical to combat diarrheal morbidity. Therefore, this study aimed to understand factors associated with diarrhea among under two years children in Nepal. METHODS: A total of 2,348 samples from Multiple Indicator Cluster Survey 2019 were used to estimate the significant child, maternal, household and external environmental predictors of diarrhea using multilevel analysis. RESULTS: The prevalence of diarrhea was 11.9% (95% CI: 10.2%-13.6%). Children residing in Koshi Province [AOR (Adjusted Odds Ratio): 2.23, 95% CI: 1.22-4.08], Karnali Province (AOR: 2.28, 95% CI: 1.11-4.70), and Sudurpaschim Province (AOR: 4.49, 95% CI: 2.39-8.42) were at higher risk of diarrhea. Children aged 7-23 months (AOR: 1.56, 95% CI: 1.10-2.20), children with ARI symptoms (AOR: 4.14, 95% CI: 2.21-7.72) and children whose mothers had no access to prenatal care (AOR: 1.87, 95% CI: 1.01-3.45) had a higher risk of diarrhea. Children from below the richest household wealth group (AOR: 1.76, 95% CI: 1.01-3.08) and those from households practicing open defecation, with unimproved or limited sanitation facilities (AOR: 1.52, 95% CI: 1.09-2.11) were more likely to have diarrhea. CONCLUSION: The findings underscore the need for public health policy-makers to improve sanitation facilities, especially focusing on poor households from Karnali and Sudurpaschim Provinces practicing open defecation to protect the children from the life risk of diarrhea in Nepal.

Validation of "Life's Essential 8" Metrics With Cardiovascular Structural Status in Children: The PROC Study in China.

Background Life's Essential 8 (LE8) metrics for cardiovascular health (CVH) aid primordial prevention in US populations. Methods and Results We conducted a child cohort study (PROC [Beijing Child Growth and Health Cohort]) with baseline (2018-2019) and follow-up (2020-2021) assessments, enrolling disease-free 6- to 10-year-old children from 6 elementary schools in Beijing. We collected LE8-assessed components via questionnaire surveys and 3 cardiovascular structural parameters by 2-dimensional M-mode echocardiography: left ventricular mass (LVM), LVM index, and carotid intima-media thickness. Compared with 1914 participants (mean age, 6.6 years) at baseline, we saw lower mean CVH scores at follow-up (n=1789; 8.5 years). Among LE8 components, diet presented the lowest perfect-score prevalence (5.1%). Only 18.6% of participants had physical activity ≥420 min/wk, 55.9% had nicotine exposure, and 25.2% had abnormal sleep duration. Prevalence of overweight/obesity was 26.8% at baseline and 38.2% at follow-up. We noted optimal blood lipid scores in 30.7%, while 12.9% of children had abnormal fasting glucose. Normal BP was 71.6% at baseline and 60.3% at follow-up. LVM (g), LVM index (g/m2.7), and carotid intima-media thickness (mm) were significantly lower in children with high (56.8, 33.2, 0.35) or moderate CVH scores (60.6, 34.6, 0.36), compared with children with low CVH scores (67.9, 37.1, 0.37). Adjusting for age/sex, LVM (ß=11.8 [95% CI, 3.5-20.0]; P=0.005), LVM index (ß=4.4 [95% CI, 0.5-8.3]; P=0.027), and carotid intima-media thickness (ß=0.016 [95% CI, 0.002-0.030]; P=0.028) were higher in the low-CVH group. Conclusions CVH scores were suboptimal, declining with age. LE8 metrics indicated worse CVH in children with abnormal cardiovascular structural measurements, suggesting the validity of LE8 in assessing child CVH. Registration URL: https://www.chictr.org.cn/index.html; Unique identifier: ChiCTR2100044027.

An On-Orbit Task-Offloading Strategy Based on Satellite Edge Computing.

Satellite edge computing has attracted the attention of many scholars due to its extensive coverage and low delay. Satellite edge computing research remains focused on on-orbit task scheduling. However, existing research has not considered the situation where heavily loaded satellites cannot participate in offloading. To solve this problem, this study first models the task scheduling of dynamic satellite networks as a minimization problem that considers both the weighted delay and energy consumption. In addition, a hybrid genetic binary particle swarm optimization (GABPSO) algorithm is proposed to solve this optimization problem. The simulation results demonstrate that the proposed method outperforms the other three baseline algorithms.

Determination of 25 quaternary ammonium compounds in sludge by liquid chromatography-mass spectrometry.

With the pandemic of COVID-19, the application of quaternary ammonium compounds (QACs), which can be used in SARS-CoV-2 disinfection products, has increased substantially. QACs cumulated in sewer system are ultimately deposited and enriched in sludge. QACs in the environment can adversely affect human health and the environment. In this study, a liquid chromatography-mass spectrometry method was established for the simultaneous determination of 25 QACs in sludge samples. Ultrasonic extraction and filtration of the samples was performed using a 50 mM hydrochloric acid-methanol solution. The samples were separated by liquid chromatography and detected in multiple reaction monitoring mode. The matrix effects of the sludge on the 25 QACs ranged from - 25.5% to 7.2%. All substances showed good linearity in the range of 0.5-100 ng/mL, with all determination coefficients (R2) greater than 0.999. The method detection limits (MDLs) were 9.0 ng/g for alkyltrimethylammonium chloride (ATMAC), 3.0 ng/g for benzylalkyldimethylammonium chloride (BAC), and 3.0 ng/g for dialkyldimethylammonium chloride (DADMAC). The spiked recovery rates were in the range of 74-107%, while the relative standard deviations were in the range of 0.8-20.6%. Considering its sensitivity, accuracy, and easy operation, the proposed method in this study was used to determine 22 sludge samples collected from a comprehensive wastewater treatment plant. The results showed that the concentrations of ΣATMACs, ΣBACs, and ΣDADMACs were 19.684, 3.199, and 8.344 µg/g, respectively. The main components included ATMAC-C16, ATMAC-C18, ATMAC-C20, ATMAC-C22, BAC-C12, and DADMAC-C18:C18, with concentrations exceeding 1.0 µg/g. The concentration relationships of different components in the congeners showed that some components were of similar origin.

Maternal emotional regulation strategy is associated with newborn feeding practices within 72 h after delivery: Cross sectional analyses of a multi-center study in China.

BACKGROUND: Early feeding practices have a great impact on the growth and development of infants, and the health of mothers. Maternal emotional regulation (ER) is closely related to infant feeding practices. Exploring the relationship between ER strategy and feeding practice can inform early exclusive breastfeeding (EBF) interventions. METHODS: Using baseline survey of a longitudinal study, 965 mothers in Chongqing municipality, Guangzhou city, and Huizhou city were enrolled. At baseline, the study used self-administrated questionnaires to investigate the socio-demographic characteristics, maternal ER strategies and feeding practice within 72 h of delivery. Chi-square test and logistic regression were used to determine the associations of the mothers' ER and feeding practices within 72 h postpartum. RESULTS: Among 965 participants, 27.8 % of mothers practiced EBF, and 69.5 % of mothers reported getting breastfeeding education from health providers. The average scores on the cognitive reappraisal and the expressive suppression of the ERQ were 29.95 ± 7.24 and 14.47 ± 5.16 respectively. Multivariable analysis showed women with expressive suppression were less likely to practice EBF (aOR = 0.96, 95%CI: 0.93-0.98, p = 0.002), while receiving breastfeeding education was positively associated with EBF (aOR = 1.52, 95%CI: 1.09-2.12, p = 0.013). LIMITATIONS: Because the study started during the COVID-19 pandemic, the lock-down measures paused recruitments for quite some time reducing the enrollment of participation. The data we used was within 72 h postpartum, hence the period of time to study feeding practices was short. CONCLUSION: Mothers' ER strategy and breastfeeding education need to be addressed as part of interventions designed to improve EBF rates during the newborn period in China.

Non-linear association of fasting C-peptide and uric acid levels with renal dysfunction based on restricted cubic spline in patients with type 2 diabetes: A real-world study.

Background: Previous studies had showed divergent findings on the associations of C-peptide and/or uric acid (UA) with renal dysfunction odds in patients with type 2 diabetes mellitus (T2DM). We hypothesized that there were non-linear relationships between C-peptide, UA and renal dysfunction odds. This study aimed to further investigate the relationships of different stratification of C-peptide and UA with renal dysfunction in patients with T2DM. Method: We conducted a cross-sectional real-world observational study of 411 patients with T2DM. The levels of fasting C-peptide, 2h postprandial C-peptide, the ratio of fasting C-peptide to 2h postprandial C-peptide (C0/C2 ratio), UA and other characteristics were recorded. Restricted cubic spline (RCS) curves was performed to evaluated the associations of stratified C-peptide and UA with renal dysfunction odds. Results: Fasting C-peptide, C0/C2 ratio and UA were independently and significantly associated with renal dysfunction in patients with T2DM as assessed by multivariate analyses (p < 0.05). In especial, non-linear relationships with threshold effects were observed among fasting C-peptide, UA and renal dysfunction according to RCS analyses. Compared with patients with 0.28 ≤ fasting C-peptide ≤ 0.56 nmol/L, patients with fasting C-peptide < 0.28 nmol/L (OR = 1.38, p = 0.246) or fasting C-peptide > 0.56 nmol/L (OR = 1.85, p = 0.021) had relatively higher renal dysfunction odds after adjusting for confounding factors. Similarly, compared with patients with 276 ≤ UA ≤ 409 µmol/L, patients with UA < 276 µmol/L (OR = 1.32, p = 0.262) or UA > 409 µmol/L (OR = 6.24, p < 0.001) had relatively higher odds of renal dysfunction. Conclusion: The renal dysfunction odds in patients with T2DM was non-linearly associated with the levels of serum fasting C-peptide and UA. Fasting C-peptide and UA might have the potential role in odds stratification of renal dysfunction.