Associations of serum 25-hydroxyvitamin D with hsCRP and other novel inflammatory biomarkers in children: a cross-sectional study.

OBJECTIVE: Previous studies have shown the anti-inflammatory effect of 25-hydroxyvitamin D (25(OH)D) and the crucial roles of high-sensitive C reactive protein (hsCRP) and novel inflammatory markers (red blood cell distribution width-platelet count ratio (RDWPCR), mean platelet volume-platelet count ratio (MPVPCR), neutrophil-lymphocyte ratio (NLR) and white blood cell-neutrophil ratios (WBCNR)) in several diseases, but scarce data explored the associations of 25(OH)D with hsCRP and novel inflammatory markers. This study aimed to investigate these associations in children. DESIGN: Cross-sectional study. SETTING: Children in China. PARTICIPANTS: 10141 children (mean age 14.6 months) were included. PRIMARY AND SECONDARY OUTCOME MEASURES: HsCRP, red blood cell distribution width, platelet count, mean platelet volume, neutrophil, lymphocyte and white blood cell were measured. RESULTS: Overall, serum 25(OH)D was inversely associated with hsCRP and novel inflammatory biomarkers. In multivariable analysis, serum 25(OH)D was inversely associated with hsCRP and novel inflammatory biomarkers (Q quartile (Q) 4 vs Q1: 1129.75 vs 2090.99 for hsCRP; 4246.94 vs 6829.89 for RDWPCR; 4863.57 vs 5545.66 for MPVPCR; 4345.76 vs 6507.46 for NLR; 2418.84 vs 2868.39 for WBCNR). Similar results also were observed in stratified analyses by sex (boys and girls). Moreover, serum 25(OH)D was inversely associated with elevated inflammation levels. After adjustment for other potential covariates, inverse associations between serum 25(OH)D and elevated inflammation levels were still observed. The corresponding ORs (95% CI) were 0.05 (0.04, 0.06) for hsCRP, 0.13 (0.11, 0.15) for RDWPCR, 0.74 (0.64, 0.85) for MPVPCR, 0.11 (0.09, 0.13) for NLR and 0.57 (0.49, 0.66) for WBCNR in the fourth quartile compared with the first quartile, respectively. CONCLUSIONS: Generally, the graded and inverse associations of serum 25(OH)D with hsCRP and four novel inflammatory markers (RDWPCR, MPVPCR, NLR and WBCNR) were observed. The present study provided further support for the anti-inflammatory effects of 25(OH)D.

[Cross-Sectional Study of Nutritional Service Capacity for Infants and Toddlers in Urban and Rural Medical Facilities in Sichuan Province]. / å››å·çœåŸŽä¹¡åŒ»ç–—æœºæž„å©´å¹¼å„¿è¥å »æœåŠ¡èƒ½åŠ›çŽ°å†µç ”ç©¶.

Objective: To investigate and analyze the current status and challenges of infant and toddler nutritional services in urban and rural medical facilities in Sichuan Province. Methods: In 2022, a questionnaire survey was conducted to collect data on infant and toddler nutritional services, including feeding guidance, physical growth assessment, and micronutrient deficiency screening, as well as information on personnel and tools in medical facilities throughout Sichuan Province. The provision of nutritional services was analyzed and the urban-rural disparities were assessed. Results: A total of 2206 medical facilities (29.1% from urban areas and 70.9% from rural areas) were investigated. Only 35.8% of medical facilities provided all three types of nutritional services. Specifically, the overall service provision rates were high for feeding guidance (94.6%) and physical growth assessment (85.0%), but lower for micronutrient deficiency screening (37.4%). Rural facilities exhibited significantly lower rates than their urban counterparts for both physical growth assessment and micronutrient deficiency screening (P<0.05). The provision rates of feeding guidance ranged from 70.6% to 93.2%, with responsive feeding guidance being the least implemented (70.6%), particularly in rural areas compared to urban areas (P<0.05). Rates for physical growth assessment and micronutrient deficiency screening ranged from 75.3% to 81.8% and 23.6% to 30.8%, respectively, both showing lower rates in rural settings compared to urban ones (P<0.05). Nutrition service providers were predominantly nurses (52.3%) and clinical practitioners (43.4%). The availability of dietary assessment tools ranged from 7.7% to 15.9%, significantly lower in rural areas compared to urban areas (P<0.001), while physical measurement tools were widely available at rates of 94.6% to 98.5%. Conclusion: At present, the infant and toddler nutritional service provisions of medical facilities in Sichuan Province are incomplete, particularly so in the implementation of feeding guidance, physical growth assessment, and micronutrient deficiency screening. There is a notable shortage of personnel and necessary tools, with rural areas facing more significant challenges. Enhancing the overall capacity of infant and toddler nutritional services in Sichuan Province is essential, with specific attention needed for rural healthcare settings.

Serum magnesium and calcium were inversely associated with hemoglobin glycation index and triglyceride-glucose index in adults with coronary artery disease.

Little is known about the associations of magnesium (Mg) and calcium (Ca) with hemoglobin glycation index (HGI) and triglyceride-glucose index (TyG) in adults. In this study, we examined the associations of serum Mg and Ca with HGI and TyG in adults with coronary artery disease (CAD). This hospital-based cross-sectional study included 10757 CAD patients with a mean age of 61.6 years. Serum concentrations of Mg and Ca were measured in clinical laboratory. Overall, serum Mg and Ca were inversely associated with HGI and TyG. In multivariable analyses, Mg and Ca were inversely associated with HGI (MgQ4 vs. Q3: -0.601 vs. -0.528; CaQ4 vs. Q1: -0.769 vs. -0.645). In terms of TyG, inverse associations of serum Mg and Ca with TyG were observed. The corresponding TyG values were 9.054 (vs. 9.099) for Mg and 9.068 (vs. 9.171) for Ca in the fourth quartile compared with the first quartile. Moreover, Mg, Ca or Mg/Ca ratio were also inversely associated with HbA1c and FBG. In path analysis, no mediating effects of obesity on "serum Mg (or Ca)- HGI (or TyG)" associations were observed. Generally, our study identified the inverse associations of the serum Mg and Ca levels with HGI and TyG in adults with CAD. Large sample longitudinal study, and particularly randomized controlled trials, are warranted to validate our findings and overcome the limitations of cross-sectional studies.

Set-Membership State Estimation for Multirate Nonlinear Complex Networks Under FlexRay Protocols: A Neural-Network-Based Approach.

In this article, the set-membership state estimation problem is investigated for a class of nonlinear complex networks under the FlexRay protocols (FRPs). In order to address practical engineering requirements, the multirate sampling is taken into account which allows for different sampling periods of the system state and the measurement. On the other hand, the FRP is deployed in the communication network from sensors to estimators in order to alleviate the communication burden. The underlying nonlinearity studied in this article is of a general nature, and an approach based on neural networks is employed to handle the nonlinearity. By utilizing the convex optimization technique, sufficient conditions are established in order to restrain the estimation errors within certain ellipsoidal constraints. Then, the estimator gains and the tuning scalars of the neural network are derived by solving several optimization problems. Finally, a practical simulation is conducted to verify the validity of the developed set-membership estimation scheme.

Enhanced enzymatic sugar production from corn stover by combination of water extraction and glycerol-assisted instant catapult steam explosion.

Glycerol-assisted instant catapult steam explosion (ICSE) of lignocellulose is an effective pretreatment method for enhancing sugar production compared to glycerol-free ICSE. In this study, glycerol-assisted ICSE of corn stover was studied in order to understand the reaction mechanisms and further optimize the process. Results showed that water extraction of corn stover prior to ICSE reduced pseudo-lignin formation. The combination of water extraction and glycerol-assisted ICSE led to the formation of lignin with a lower molecular weight (Mw) of 2851 g/mol than 3521 g/mole of that from the combination of water extraction and glycerol-free ICSE. 1H-13C NMR analysis revealed that glycerol likely reacted with lignin carboxylic OHs through esterification while etherification of aliphatic OHs was not observed in ICSE. These lignin analyses indicated that glycerol protected lignin from condensation/repolymerization during glycerol-assisted ICSE. Enzymatic hydrolysis results showed that without water extraction increasing glycerol usage from 0.2 kg/kg stover to 0.4 kg/kg stover improved glucan digestibility to 78% but further increase to 0.5 kg/kg stover reduced glucan digestibility. In addition, at the glycerol usage of 0.2-0.4 kg/kg stover, washing of pretreated stover for removal of glycerol and other biomass-derived compounds did not improve glucan digestibility compared to unwashed ones. Combination of water extraction and glycerol-assisted ICSE led to a high glucan digestibility of 89.7% and a total glucose yield of 25.5 g glucose/100 g stover, which were 30.1% and 7.5 g/100 g stover higher than those derived from glycerol-free ICSE of stover, respectively. Since glycerol is a low-cost carbon source, the resulting enzymatic hydrolysate that contained both glucose and glycerol may be directly used to produce bioproducts by microbial fermentation.

Secure State Estimation for Artificial Neural Networks With Unknown-But-Bounded Noises: A Homomorphic Encryption Scheme.

This article is concerned with the secure state estimation problem for artificial neural networks (ANNs) subject to unknown-but-bounded noises, where sensors and the remote estimator are connected via open and bandwidth-limited communication networks. Using the encoding-decoding mechanism (EDM) and the Paillier encryption technique, a novel homomorphic encryption scheme (HES) is introduced, which aims to ensure the secure transmission of measurement information within communication networks that are constrained by bandwidth. Under this encoding-decoding-based HES, the data being transmitted can be encrypted into ciphertexts comprising finite bits. The emphasis of this research is placed on the development of a secure set-membership state estimation algorithm, which allows for the computation of estimates using encrypted data without the need for decryption, thereby ensuring data security throughout the entire estimation process. Taking into account the unknown-but-bounded noises, the underlying ANN, and the adopted HES, sufficient conditions are determined for the existence of the desired ellipsoidal set. The related secure state estimator gains are then derived by addressing optimization problems using the Lagrange multiplier method. Lastly, an example is presented to verify the effectiveness of the proposed secure state estimation approach.

Joint State and Unknown Input Estimation for a Class of Artificial Neural Networks With Sensor Resolution: An Encoding-Decoding Mechanism.

This article is concerned with the joint state and unknown input (SUI) estimation for a class of artificial neural networks (ANNs) with sensor resolution (SR) under the encoding-decoding mechanisms. The consideration of SR, which is an important specification of sensors in the real world, caters to engineering practice. Furthermore, the implementation of the encoding-decoding mechanism in the communication network aims to accommodate the limited bandwidth. The objective of this study is to propose a set-membership estimation algorithm that accurately estimates the state of the ANN without being influenced by the unknown input while accounting for the SR and the encoding-decoding mechanism. First, a sufficient condition is derived to ensure an ellipsoidal constraint on the estimation error. Then, by addressing an optimization problem, the design of the estimator gains is accomplished, and the minimal ellipsoidal constraint on the state estimation error is obtained. Finally, an example is provided to confirm the validity of the proposed joint SUI estimation scheme.

Metal-amplified sonodynamic therapy of Ti-based chitosan-polyvinyl alcohol hybrid hydrogel dressing against subcutaneous Staphylococcus aureus infection.

Ultrasound (US)-mediated sonodynamic therapy (SDT) has received extensive attention in pathogen elimination for non-invasiveness and high spatial and temporal accuracy. Considering that hydrogel can provide a healing-friendly environment for wounds, in this work, hybrid hydrogels are constructed by embedding Ag doped TiO2 nanoparticles in chitosan-polyvinyl alcohol hydrogels for enhanced sonodynamic antibacterial therapy. With metal silver doped, TiO2 nanoparticles sonosensitivity is improved to generate more reactive oxygen species (ROS), which endows hybrid hydrogels with high-efficient antibacterial properties. In vivo results show that hybrid hydrogel dressing can prevent infection and promote wound closure within 2 days. The healing ratio excess 95 % with no pus produced at the end of treatment. The therapeutic mechanism was identified that heterojunction formed in Ag doped TiO2 facilitates the separation of charge carriers under US irradiation, leading to elevating ROS generation. The generated ROS promote hybrid hydrogels sonodynamic antibacterial therapeutic efficacy to thoroughly eliminate pathogen via disrupting bacterial cell membrane integrity, decreasing membrane fluidity and increasing membrane permeability. Besides, biofilm formation could be effectively inhibited. This work developed a hybrid hydrogel with amplified SDT effect for wound healing, which is expected to provide inspiration of hybrid hydrogels design and Ti-based nanomaterials sonosensitivity enhancement.

Effects of Chinese heart-healthy diet on blood lipids, glucose, and estimated 10-y cardiovascular disease risk among Chinese adults: results on secondary outcomes of a randomized controlled trial.

BACKGROUND: Healthy diet is essential for cardiovascular disease risk management, but its effects among Chinese patients, whose diets differ from Western diets, remain largely unknown. METHODS: In this multicenter, patient- and outcome assessor-blind, randomized controlled feeding trial, 265 Chinese adults with baseline systolic blood pressure 130 to 159 mmHg were randomly assigned into Chinese heart-healthy (CHH) diet or usual diet for a 28-d intervention after a 7-d run-in period on usual diet. Blood lipids and glucose were measured from overnight fasting blood samples before and after the intervention. Ten-year cardiovascular disease risk was estimated using models previously developed and validated in Chinese. The changes in secondary outcomes of serum total cholesterol (TC), blood glucose, and 10-y cardiovascular disease risk over the intervention period were compared between intervention groups, adjusting for center, among participants with baseline and follow-up blood samples available. Sensitivity analyses were done with further adjustment for baseline values and covariables; missing data imputed; and among per-protocol population. RESULTS: Among 256 eligible participants (130 on CHH diet, 126 on control diet), 42% had hypercholesterolemia and 15% had diabetes at baseline. In the control group, TC and 10-y cardiovascular disease risk decreased after the intervention by 0.16 mmol/L and 0.91%, respectively, but blood glucose increased by 0.25 mmol/L. Compared with usual diet, the CHH diet lowered TC (-0.14 mmol/L, P = 0.017) and 10-y cardiovascular disease risk (-1.24%, P = 0.001) further. No effect on blood glucose was found. All sensitivity analyses confirmed the results on TC and 10-y cardiovascular disease risk, and analysis with multiple variables adjusted showed a borderline significant effect on blood glucose (-0.17 mmol/L, P = 0.051). The differences in intake of nutrients and food groups between intervention groups explained the results. CONCLUSIONS: The CHH diet reduced TC and 10-y cardiovascular disease risk and was likely to reduce blood glucose among Chinese adults with mild hypertension. Further studies with longer terms are warranted. This trial was registered at clinicaltrials.gov as NCT03882645.

Cohort Profile: Guangzhou Nutrition and Health Study (GNHS): A Population-Based Multi-Omics Study.

BACKGROUND: The Guangzhou Nutrition and Health Study (GNHS) aims to assess the determinants of metabolic disease in nutritional aspects, as well as other environmental and genetic factors, and explore possible biomarkers and mechanisms with multi-omics integration. METHODS: The population-based sample of adults in Guangzhou, China (baseline: 40-83 years old; n = 5118) was followed up about every 3 years. All will be tracked via on-site follow-up and health information systems. We assessed detailed information on lifestyle factors, physical activities, dietary assessments, psychological health, cognitive function, body measurements, and muscle function. Instrument tests included dual-energy X-ray absorptiometry scanning, carotid artery and liver ultrasonography evaluations, vascular endothelial function evaluation, upper-abdomen and brain magnetic resonance imaging, and 14-d real-time continuous glucose monitoring tests. We also measured multi-omics, including host genome-wide genotyping, serum metabolome and proteome, gut microbiome (16S rRNA sequencing, metagenome, and internal transcribed spacer 2 sequencing), and fecal metabolome and proteome. RESULTS: The baseline surveys were conducted from 2008 to 2015. Now, we have completed 3 waves. The 3rd and 4th follow-ups have started but have yet to end. A total of 5118 participants aged 40-83 took part in the study. The median age at baseline was approximately 59.0 years and the proportion of female participants was about 69.4%. Among all the participants, 3628 (71%) completed at least one on-site follow-up with a median duration of 9.48 years. CONCLUSION: The cohort will provide data that have been influential in establishing the role of nutrition in metabolic diseases with multi-omics.

Associations of Serum Apolipoprotein A1 and High Density Lipoprotein Cholesterol With Glucose Level in Patients With Coronary Artery Disease.

This study determined the associations of apolipoprotein A1 (ApoA1), high-density lipoprotein cholesterol (HDL-C), and HDL-C/ApoA1 ratio with fasting blood glucose (FBG) and evaluated the mediating effects of high-sensitivity C-reactive protein (hsCRP) and body mass index (BMI). A cross-sectional study with 4805 coronary artery disease (CAD) patients was performed. In multivariable analyses, higher ApoA1, HDL-C, and HDL-C/ApoA1 ratio were associated with significantly lower FBG level (Q [quartile] 4 vs Q1: 5.67 vs 5.87 mmol/L for ApoA1; 5.64 vs 5.98 mmol/L for HDL-C; 5.63 vs 6.01 mmol/L for HDL-C/ApoA1 ratio). Moreover, inverse associations of ApoA1, HDL-C, and HDL-C/ApoA1 ratio with abnormal FBG (AFBG) were found with odd ratios (95% confidence interval) of .83 (.70-.98), .60 (.50-.71), and .53 (.45-.64) in Q4 compared with Q1. Path analyses indicated that "ApoA1 (or HDL-C)-FBG" associations were mediated by hsCRP and "HDL-C-FBG" association was mediated by BMI. Our data suggested that higher ApoA1, HDL-C, and HDL-C/ApoA1 ratio were favorably associated with a lower FBG level in CAD patients and these associations might be mediated by hsCRP or BMI. Collectively, higher concentrations of ApoA1, HDL-C, and HDL-C/ApoA1 ratio might decrease the risk of AFBG.

Associations of apolipoproteinA1, high density lipoprotein cholesterol with hemoglobin glycation index and triglyceride-glucose index in Chinese adults with coronary artery disease.

AIMS: Scarce data explored the associations of apolipoproteins with hemoglobin glycation index (HGI) and triglyceride-glucose (TyG) index. This study determined associations of serum apolipoproteinA1 (ApoA1) and high density lipoprotein cholesterol (HDL-C) with HGI and TyG index in coronary artery disease (CAD) patients. METHODS: A total of 10,803 CAD patients were included in this cross-sectional pilot study. Serum concentrations of ApoA1 and HDL-C were measured. Analyses of covariance were used to compare the mean differences in glucose metabolism indices (e.g., HGI, TyG index, hemoglobin glycation [HbA1c], fasting blood glucose [FBG]) among the quartiles of ApoA1, HDL-C and HDL-C/ApoA1 ratio. RESULTS: In multivariate analysis, higher ApoA1, HDL-C and HDL-C/ApoA1 ratio were associated with significantly lower HGI (Quartile [Q]4 vs. Q1: -0.032 % vs. 0.017 % for ApoA1; -0.072 % vs. 0.079 % for HDL-C; -0.083 % vs. 0.085 % for HDL-C/ApoA1 ratio). Intermediate ApoA1 level was inversely associated with TyG index (Q2 vs. Q1: 296.278 vs. 306.794). The mean TyG index were significantly decreased with increased HDL-C and HDL-C/ApoA1 ratio (Q4 vs. Q1: 298.584 vs. 309.221 for HDL-C; 300.405 vs. 315.218 for HDL-C/ApoA1 ratio). Moreover, the inverse associations of ApoA1, HDL-C and HDL-C/ApoA1 ratio with HbA1c and FBG also were observed. In path analysis, the associations of HDL-C and HDL-C/ApoA1 ratio with TyG index were mediated by obesity. CONCLUSION: This study provided further support for the hypoglycemic effects of ApoA1 and HDL-C in patients with CAD. Replication of these findings is warranted in further longitudinal studies in different populations.

Recursive Filtering Under Probabilistic Encoding-Decoding Schemes: Handling Randomly Occurring Measurement Outliers.

This article focuses on the recursive filtering problem for networked time-varying systems with randomly occurring measurement outliers (ROMOs), where the so-called ROMOs denote a set of large-amplitude perturbations on measurements. A new model is presented to describe the dynamical behaviors of ROMOs by using a set of independent and identically distributed stochastic scalars. A probabilistic encoding-decoding scheme is exploited to convert the measurement signal into the digital format. For the purpose of preserving the filtering process from the performance degradation induced by measurement outliers, a novel recursive filtering algorithm is developed by using the active detection-based method where the "problematic" measurements (i.e., the measurements contaminated by outliers) are removed from the filtering process. A recursive calculation approach is proposed to derive the time-varying filter parameter via minimizing such the upper bound on the filtering error covariance. The uniform boundedness of the resultant time-varying upper bound is analyzed for the filtering error covariance by using the stochastic analysis technique. Two numerical examples are presented to verify the effectiveness and correctness of our developed filter design approach.

Serum calcium and magnesium were inversely associated with high sensitivity C-reactive protein in Chinese adults with coronary artery disease.

OBJECTIVE: Scarce data examined the associations of circulating calcium (Ca) and magnesium (Mg) with high-sensitivity C-reactive protein (hsCRP) in humans. We conducted a hospital-based cross-sectional study to evaluate the associations of serum Ca, Mg, and Ca/Mg ratio with hsCRP and examine the mediating roles of body mass index (BMI). METHODS: A total of 7203 patients with coronary artery disease (CAD) (average age: 61.0 years) were included. Serum concentrations of Ca, Mg, and hsCRP were measured. RESULTS: The multivariate analysis of covariance was used to determine Ca- and Mg-hsCRP associations. Serum Ca and Mg were inversely associated with hsCRP, while no significant association between Ca/Mg ratio and hsCRP was detected. After adjustment for age and sex, higher Ca and Mg concentrations were associated with lower hsCRP (quintile5 [Q5] vs. Q1: 6.35 vs. 11.88 mmol/L for Ca; Q4 vs. Q1: 4.61 vs. 6.44 mmol/L for Mg). The multivariate-adjusted analysis found that serum Ca and Mg were inversely associated with hsCRP levels (Q5 vs. Q1: 6.69 vs. 11.33 mmol/L for Ca; Q4 vs. Q1: 4.65 vs. 6.32 mmol/L for Mg). Similar findings were observed in the stratified analyses by sex (men and women) and BMI (< 28 and ≥ 28 kg/m2). In path analysis, BMI had no mediating effects on the Ca- or Mg-hsCRP associations. CONCLUSION: Generally, our study showed significant inverse associations of serum Ca and Mg with hsCRP in CAD patients. Our findings provided further support for the anti-inflammatory effects of Ca and Mg in CAD patients.

Event-Triggered Recursive State Estimation for Stochastic Complex Dynamical Networks Under Hybrid Attacks.

In this article, the event-based recursive state estimation problem is investigated for a class of stochastic complex dynamical networks under cyberattacks. A hybrid cyberattack model is introduced to take into account both the randomly occurring deception attack and the randomly occurring denial-of-service attack. For the sake of reducing the transmission rate and mitigating the network burden, the event-triggered mechanism is employed under which the measurement output is transmitted to the estimator only when a preset condition is satisfied. An upper bound on the estimation error covariance on each node is first derived through solving two coupled Riccati-like difference equations. Then, the desired estimator gain matrix is recursively acquired that minimizes such an upper bound. Using the stochastic analysis theory, the estimation error is proven to be stochastically bounded with probability 1. Finally, an illustrative example is provided to verify the effectiveness of the developed estimator design method.

Partial-Node-Based State Estimation for Delayed Complex Networks Under Intermittent Measurement Outliers: A Multiple-Order-Holder Approach.

This article is concerned with the partial-node-based (PNB) state estimation problem for delayed complex networks (DCNs) subject to intermittent measurement outliers (IMOs). In order to describe the intermittent nature of outliers, several sequences of shifted gate functions are adopted to model the occurrence moments and the disappearing moments of IMOs. Two outlier-related indices, namely, minimum and maximum interval lengths, are employed to parameterize the "occurrence frequency" of IMOs. The norm of the addressed outlier is allowed to be greater than a certain fixed threshold, and this distinguishes the outlier from the extensively studied norm-bounded noise. By adopting the input-output models of the considered complex network, a novel multiple-order-holder (MOH) approach is developed to resist the effects of IMOs by dedicatedly designing a weighted average of certain non-IMO measurements, and then, a PNB state estimator is constructed based on the outputs of the MOHs. Sufficient conditions are proposed to ensure the exponentially ultimate boundedness (EUB) of the resultant estimation error, and the estimator gain matrices are subsequently obtained by solving a constrained optimization problem. Finally, two simulation examples are provided to demonstrate the effectiveness of our developed outlier-resistant PNB state estimation scheme.

Distributed Recursive Filtering Over Sensor Networks Under Random Access Protocol: When State Saturation Meets Censored Measurement.

In this article, a new distributed filtering problem is studied for a class of state-saturated time-varying systems over sensor networks under measurement censoring, where the censored measurements are described by the Tobit measurement model. To curb the data collision and ease communication burden, a random access protocol (RAP) is implemented onto the sensor-to-filter channels to orchestrate the transmission sequence of multiple sensor nodes. The purpose of the addressed problem is to construct a state-saturated distributed filter such that upper bounds (on filtering error covariances) are guaranteed and filter parameters are determined to accommodate both measurement censoring and state saturation under the RAP. By means of matrix difference equations, the desired upper bounds are first acquired and later minimized through appropriately designing filter parameters. Particularly, the sparsity issue with respect to the network topology is tackled via the employing certain matrix simplification technique. A simulation example is finally presented to showcase the applicability of the proposed state-saturated distributed filtering algorithm.

Association of Apolipoprotein A1, High Density Lipoprotein Cholesterol, and Their Ratio with Inflammatory Marker in Chinese Adults with Coronary Artery Disease.

Sparse data assessed the association of apolipoprotein A1 (ApoA1) and high density lipoprotein cholesterol (HDL-C) with inflammation. We investigated this association in a hospital-based cross-sectional pilot study that included 7296 patients with coronary artery disease (CAD). In multivariate analysis, negative associations of ApoA1 and HDL-C with C-reactive protein (CRP), high sensitivity CRP (hsCRP), and tumor necrosis factor-α (TNF-α) were shown. The corresponding CRP, hsCRP, and TNF-α values were 5.28 (vs 11.70 mg/L), 4.50 (vs 11.50 mg/L), and 7.68 (vs 10.90 pg/mL) for ApoA1, and 7.13 (vs 10.60 mg/L), 6.27 (vs 9.19 mg/L), and 8.11 (vs 11.86 pg/mL) for HDL-C in the fourth quartiles compared with the first quartiles. ApoA1/HDL-C ratio was inversely associated with hsCRP and interleukin-6 (IL-6). No significant associations of ApoA1 and HDL-C with IL-6 and IL-8, and of ApoA1/HDL-C ratio with CRP, IL-8, and TNF-α were observed. In path analyses, there was no evidence of mediating effects of body mass index on the "ApoA1 and HDL-C-inflammation" relationship. Generally, our study of CAD patients identified graded and inverse associations of ApoA1, HDL-C, and ApoA1/HDL-C ratio with inflammatory marker (CRP, hsCRP, IL-6, IL-8, or TNF-α) levels.

Healthier diet associated with reduced risk of excessive gestational weight gain: A Chinese prospective cohort study.

Limited studies have examined the associations between diet quality and gestational weight gain (GWG) among Chinese pregnant women, adopting Chinese GWG guidelines. We prospectively investigate the associations of diet quality, using the Chinese Healthy Diet Index for Pregnancy (CHDI-P), which assessed diet quality from 'Diversity', 'Adequacy' and 'Limitation' dimensions with overall 100 points, with GWG among participants enroled in Southwest China. Food consumption was collected by 24 h dietary recalls for three consecutive days and CHDI-P scores were divided into tertiles. GWG was calculated according to the weight measured before delivery and classified into adequate weight gain (AWG), insufficient weight gain (IWG) and excessive weight gain(EWG) following Chinese GWG guidelines. Multinomial regression analyses and stratified analyses by pre-pregnancy body mass index were performed to estimate the association between CHDI-P and GWG. A total of 1416 participants were recruited in early pregnancy, and 971 and 997 participants were respectively followed up in middle and late pregnancy. The mean CHDI-P score was 56.44 ± 6.74, 57.07 ± 7.44 and 57.38 ± 7.94 points in early, middle and late pregnancy, respectively. Women in the lowest CHDI-P scores group had an increased risk of EWG in middle (OR = 1.53, 95% confidence interval [CI] = 1.08-2.17) and late pregnancy (OR = 1.71, 95% CI = 1.21-2.41) than women in the highest group, while overweight/obese women had a greater risk of EWG in late pregnancy (OR = 4.25, 95% CI = 1.30-13.90). No association was found between the CHDI-P scores and IWG. Poor diet quality in middle and late pregnancy was associated with a higher risk of EWG.

[Association between fruit intake during pregnancy and blood glucose metabolism].

OBJECTIVE: To examine the association between fruit intake and blood glucose metabolism. METHODS: Healthy singleton pregnant women with 6-14 weeks of gestation were selected in a maternal-and-child health care institution in Chengdu from February to July 2017. Dietary information was obtained by 3-day 24-hour dietary recall during each trimester, and the average daily total fruit intake per person were calculated. According to the Dietary guidelines for Chinese pregnant women(2016), insufficient rates of fruits were calculated, and the participants were divided into insufficient intake group, suitable intake group and higher intake group. Multiple linear regression was used to analyze the association between fruit intake during pregnancy and fasting blood glucose, 1-h plasma glucose and 2-h plasma glucose. Log-binomial regression model was used to analyze the association between fruit intake during pregnancy and the risk of gestational diabetes mellitus(GDM). RESULTS: Valid samples of 1453 cases in early pregnancy, 1049 cases in middle pregnancy were included, the age was(28.5±4.0)years old. The average fruit intake during the early and middle pregnancy(M(P25, P75)) were 279.7(180.8, 415.2) g/d and 232.0(100.0, 390.0) g/d, respectively. The insufficient rates were 18.8% and 43.2%, respectively. After adjusting for age, pre-pregnancy BMI, education level, family income, family history of diabetes, parity, physical activity, energy, vegetables, grains, red meat, and beverages, multiple linear regression result showed that compared with the insufficient fruit intake group, in the suitable fruit intake group, the fasting blood glucose level was decreased(ß=-0.071, 95%CI-0.111--0.003). Results of log binomial regression analysis showed that when compared with the fruit suitable intake group during the second trimester, the insufficient intake group may increase the risk of GDM(RR=1.13, 95% CI 1.11-1.58); no association between fruit intake during the early pregnancy and blood glucose metabolism was observed. CONCLUSION: Fruit intake during pregnancy is associated with blood glucose metabolism. The appropriate amount of fruit intake may improve fasting blood glucose and insufficient intake of fruits during the second trimester may increase the risk of GDM.