The Importance of Sintering-Induced Grain Boundaries in Copper Catalysis to Improve Carbon-Carbon Coupling.

Syngas conversion serves as a gas-to-liquid technology to produce liquid fuels and valuable chemicals from coal, natural gas, or biomass. During syngas conversion, sintering is known to deactivate the catalyst owing to the loss of active surface area. However, the growth of nanoparticles might induce the formation of new active sites such as grain boundaries (GBs) which perform differently from the original nanoparticles. Herein, we reported a unique Cu-based catalyst, Cu nanoparticles with in situ generated GBs confined in zeolite Y (denoted as activated Cu/Y), which exhibited a high selectivity for C5+ hydrocarbons (65.3 C%) during syngas conversion. Such high selectivity for long-chain products distinguished activated Cu/Y from typical copper-based catalysts which mainly catalyze methanol synthesis. This unique performance was attributed to the GBs, while the zeolite assisted the stabilization through spatial confinement. Specifically, the GBs enabled H-assisted dissociation of CO and subsequent hydrogenation into CHx*. CHx* species not only serve as the initiator but also directly polymerize on Cu GBs, known as the carbide mechanism. Meanwhile, the synergy of GBs and their vicinal low-index facets led to the CO insertion where non-dissociative adsorbed CO on low-index facets migrated to GBs and inserted into the metal-alkyl bond for the chain growth.

Molecular Phylogeny Reveals the Past Transoceanic Voyages of Drywood Termites (Isoptera, Kalotermitidae).

Termites are major decomposers in terrestrial ecosystems and the second most diverse lineage of social insects. The Kalotermitidae form the second-largest termite family and are distributed across tropical and subtropical ecosystems, where they typically live in small colonies confined to single wood items inhabited by individuals with no foraging abilities. How the Kalotermitidae have acquired their global distribution patterns remains unresolved. Similarly, it is unclear whether foraging is ancestral to Kalotermitidae or was secondarily acquired in a few species. These questions can be addressed in a phylogenetic framework. We inferred time-calibrated phylogenetic trees of Kalotermitidae using mitochondrial genomes of ∼120 species, about 27% of kalotermitid diversity, including representatives of 21 of the 23 kalotermitid genera. Our mitochondrial genome phylogenetic trees were corroborated by phylogenies inferred from nuclear ultraconserved elements derived from a subset of 28 species. We found that extant kalotermitids shared a common ancestor 84 Ma (75-93 Ma 95% highest posterior density), indicating that a few disjunctions among early-diverging kalotermitid lineages may predate Gondwana breakup. However, most of the ∼40 disjunctions among biogeographic realms were dated at <50 Ma, indicating that transoceanic dispersals, and more recently human-mediated dispersals, have been the major drivers of the global distribution of Kalotermitidae. Our phylogeny also revealed that the capacity to forage is often found in early-diverging kalotermitid lineages, implying the ancestors of Kalotermitidae were able to forage among multiple wood pieces. Our phylogenetic estimates provide a platform for critical taxonomic revision and future comparative analyses of Kalotermitidae.

Phylogeny and diversification of planthoppers (Hemiptera: Fulgoromorpha) based on a comprehensive molecular dataset and large taxon sampling.

Our understanding of the evolution of Fulgoromorpha (Insects, Hemiptera) has relied on molecular studies that have only considered either a limited number of taxa where all the families were not represented simultaneously, or a reduced number of genes.The absence of a global analysis comparing all the available data has thus led to significant biases in the analyzes, as evidenced by the incongruence of the results reported for planthopper phylogeny. Here we provide a phylogenetic and dating analysis of the Fulgoromorpha with a large sampling of 531 ingroup taxa, representing about 80% of the currently described suprageneric taxonomic diversity in this group. This study is based on most of the molecular sequences available to date and duly verified, for a set of nuclear and mitochondrial genes from a taxonomic sampling as complete as possible. The most significant results of our study are: (1) the unexpected paraphyly of Delphacidae whose Protodelphacida seem more related to Cixiidae than to other Delphacidae;(2) the group Meenoplidae-Kinnaridae recovered sister to the remaining Fulgoroidea families; (3) the early branching node of Tettigometridae sister of all the other families;(4) the Achilidae-Derbidae clade with Achilidae Plectoderini including Achilixiidae recovered as monophyletic as well as theFulgoridae-Dictyopharidae clade; and (5) the Tropiduchidae placed sister to the other so called 'higher' families (sec. Shcherbakov, 2006).Our divergence times analysis, calibrated with a set of duly verified fossils, suggests that the first diversification of planthoppers occurred in the Early Triassic around 240 Mya and those of the superfamilies Delphacoidea and Fulgoroidea in the Middle-Late Triassic around 210 Mya and 230 Mya, respectively. By the end of the Jurassic, all major planthopper lineages were originated, and all families, around 125 Mya, might havebeen driven in their distribution and evolution (in their first subfamilial divisions) by the geographical constraints of the Gondwanan break-up.Rapid evolutionary radiations occurred particularly in Fulgoridae around 125-130 Mya. Our results stress the importance of the good quality of the sequences used in the molecular analyzes and the primordial importance of a large sampling when analyzing the phylogeny of the group.

Establishment of Reference Intervals for SII, NLR, PLR, and LMR in Healthy Adults in Jiangsu Region in Eastern China.

BACKGROUND: We preliminarily established the reference intervals for the systemic immune-inflammation index (SII), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and lymphocyte to monocyte ratio (LMR) in healthy adults in Jiangsu region in Eastern China to guide the interpretation and application of these indicators in clinical practice. METHODS: In total, 29,947 ostensibly healthy subjects from December 2020 to March 2021 were included in this study. The distributions of the SII, NLR, PLR, and LMR were analyzed using the Kolmogorov-Smirnov test. According to the C28-A3 guidelines, the 2.5th and 97.5th percentiles (P2.5 to P97.5) of the SII, NLR, PLR, and LMR were used to establish the reference intervals based on nonparametric methods. RESULTS: All SII, NLR, PLR, and LMR data were non-normally distributed. The levels of the SII, NLR, PLR, and LMR in healthy adults were significantly different between males and females (all p < 0.05). However, there were no significant differences in the SII, NLR, PLR or LMR among the different age groups, regardless of gender (all p > 0.05). Therefore, the reference intervals for the SII, NLR, PLR, and LMR were established based on the Sysmex testing platform for males (162 × 109/L - 811 × 109/L; 0.89 - 3.26; 63.15 - 191.34; 3.18 - 9.61) and females (165 × 109/L - 792 × 109/L; 0.87 - 3.16; 69.04 - 205.62; 3.46 - 10.96). CONCLUSIONS: We have established the reference intervals for SII, NLR, PLR, and LMR in healthy adults based on the Sysmex detection platform and large sample size, which may provide important guidance for its clinical application.

Effect of lipoxin A4 on the osteogenic differentiation of periodontal ligament stem cells under lipopolysaccharide-induced inflammatory conditions.

Lipoxin A4 (LXA4) has been identified as the braking signal of inflammation, but the specific role of LXA4 in regulating the regenerative potential of periodontal ligament stem cells (PDLSCs) remains unclear. The aim of this study was to investigate whether and, if so, how LXA4 improves the osteogenic differentiation of PDLSCs in a lipopolysaccharide (LPS)-induced inflammatory environment. We detected the effects of LXA4 on the osteogenic differentiation of PDLSCs in vitro and explored the bone regenerative potential of LXA4-treated inflammatory PDLSCs in vivo using a calvarial critical sized defect model in male rats. RNA sequencing, real-time PCR and western blot were performed to elucidate the relevant potential mechanisms. Results showed that LXA4 promoted the proliferation, migration and osteogenic differentiation of PDLSCs in vitro, and effectively improved the impaired osteogenic capacity of PDLSCs induced by LPS both in vitro and in vivo. Mechanistically, LXA4 significantly promoted the PI3K/AKT phosphorylation under inflammatory conditions. Additionally, LY294002 (a PI3K inhibitor) blocked the effect of LXA4, suggesting that the PI3K/AKT pathway is a key signaling pathway that mediates the effect of LXA4 on the osteogenesis of inflammatory PDLSCs. These findings indicate LXA4 may be a promising strategy for periodontal regeneration using inflammatory PDLSCs.

Association of volatile organic compounds exposure with the risk of depression in U.S. adults: a cross­sectional study from NHANES 2013-2016.

BACKGROUND: Volatile organic compounds (VOCs) are a broad class of chemicals, and previous studies showed that VOCs could increase the risk of central nervous system disorders. However, few studies have comprehensively explored their association with depression among general adults. OBJECTIVE: We aimed to explore the association between blood VOCs and depression risk based on a large cross-sectional study of the National Health and Nutrition Examination Survey (NHANES). METHODS: We analyzed data from 3449 American adults in the NHANES 2013-2016. Survey-weighted logistic regression model was used to explore the association of ten blood VOCs with depression. Subsequently, the relative importance of the selected VOCs was determined using the XGBoost model. The weighted quantile sum (WQS) regression model was used to explore the overall association of 10 blood VOCs with depression. Subgroup analyses were performed to identify high-risk populations. Finally, restricted cubic spline (RCS) analysis was utilized to explore the dose-response relationship between blood VOCs and the risk of depression. RESULTS: XGBoost Algorithm model identified blood 2,5-dimethylfuran was the most critical variable in depression. The logistic regression model showed that blood benzene, blood 2,5-dimethylfuran, and blood furan showed a positive correlation with depression. In subgroup analysis, we found that the effects of the above VOCs on depression existed among the female, young middle-aged, and overweight-obese population. Mixture VOCs exposure was positively associated with depression risk (OR = 2.089, 95% CI: 1.299-3.361), and 2,5-dimethylfuran had the largest weights in WQS regression. RCS displayed that blood benzene, blood 2,5-dimethylfuran, and blood furan were positively associated with depression. CONCLUSION: The results of this study indicated that VOCs exposure was associated with an increased prevalence of depression in U.S. adults. Women, young and middle-aged, and overweight-obese populations are more vulnerable to VOCs.

Pharmacokinetics and tissue distribution of five bioactive components in the Corydalis yanhusuo total alkaloids transdermal patch following Shenque acupoint application in rats assessed by ultra-performance liquid chromatography-tandem mass spectrometry.

The purpose of this study was to evaluate the pharmacokinetics and tissue distribution of the Corydalis yanhusuo total alkaloids transdermal patch (CTTP) following Shenque acupoint application in rats. The concentrations of corydaline, tetrahydropalmatine, tetrahydrocolumbamine, protopine, and dehydrocorydaline in rat plasma and various tissues were simultaneously detected by ultra-performance liquid chromatography-tandem mass spectrometry after Shenque acupoint administration of CTTP. Plasma, heart, liver, spleen, lung, and kidney tissue samples were collected at specific times and separated by gradient elution on an ACQUITY UPLC HSS T3 column (1.8 µm, 100 mm × 2.1 mm) with a mobile phase of 0.01% formic acid aqueous solution and acetonitrile-0.01% formic acid. The methodological results showed that the selectivity, linear range, accuracy, precision, stability, matrix effect, and extraction recovery of the established method met the requirements of biological sample analysis. The results indicated that CTTP following Shenque acupoint administration rapidly delivered adequate drug into rat blood and maintained an effective plasma level for a significantly longer time than non-acupoint administration. Furthermore, CTTP effectively reached the liver through Shenque acupoint administration and showed tissue selectivity. The data obtained could provide a prospect for the treatment of chronic pain with CTTP following Shenque acupoint application.

Computerized dynamic occlusal analysis and its correlation with static characters in post-orthodontic patients using the T-Scan system and the ABO objective grading system.

OBJECTIVES: This study was conducted to detect the overall performance of both static and dynamic occlusion in post-orthodontic patients using quantified methods, and to ascertain the correlation between the two states of occlusion. MATERIALS AND METHODS: A total of 112 consecutive patients evaluated by ABO-OGS were included in this study. Based on the pre-treatment Angle's classification of the malocclusion, samples were divided into four groups. After removing orthodontic appliances, each patients underwent the American Board of Orthodontic objective grading system (ABO-OGS) and T-Scan evaluations. All the scores were compared within these groups. Statistical evaluation included reliability tests, multivariate ANOVA, and correlation analyses (p < 0.05 was considered significant). RESULTS: The mean ABO-OGS score was satisfactory and did not differ by Angle classifications. The indices making substantial contributions to ABO-OGS were occlusal contacts, occlusal relationships, overjet, and alignment. Disocclusion time in post-orthodontic patients was longer than normal. Occlusion time, disocclusion time, and force distribution during dynamic motions were considerably influenced by static ABO-OGS measurements, especially occlusal contacts, buccolingual inclination, and alignment. CONCLUSION: Post-orthodontic cases that passed the static evaluation of clinicians and ABO-OGS may nevertheless be left with dental casts interference in dynamic motions. Both static and dynamic occlusion should be extensively evaluated before ending orthodontic treatment. Further research is needed on dynamic occlusal guidelines and standards.

Exploring the Strain Effect in Single Particle Electrochemistry using Pd Nanocrystals.

Tuning the surface strain of heterogeneous catalysts is recognized as a powerful strategy for tailoring their catalytic activity. However, a clear understanding of the strain effect in electrocatalysis at single-particle resolution is still lacking. Here, we explore the electrochemical hydrogen evolution reaction (HER) of single Pd octahedra and icosahedra with the same surface bounded {111} crystal facet and similar sizes using scanning electrochemical cell microscopy (SECCM). It is revealed that tensilely strained Pd icosahedra display significantly superior HER electrocatalytic activity. The estimated turnover frequency at -0.87 V vs RHE on Pd icosahedra is about two times higher than that on Pd octahedra. Our single-particle electrochemistry study using SECCM at Pd nanocrystals unambiguously highlights the importance of tensile strain on electrocatalytic activity and may offer new strategy for understanding the fundamental relationship between surface strain and reactivity.

Using ultraconserved elements to reconstruct the termite tree of life.

The phylogenetic history of termites has been investigated using mitochondrial genomes and transcriptomes. However, both sets of markers have specific limitations. Mitochondrial genomes represent a single genetic marker likely to yield phylogenetic trees presenting incongruences with species trees, and transcriptomes can only be obtained from well-preserved samples. In contrast, ultraconserved elements (UCEs) include a great many independent markers that can be retrieved from poorly preserved samples. Here, we designed termite-specific baits targeting 50,616 UCE loci. We tested our UCE bait set on 42 samples of termites and three samples of Cryptocercus, for which we generated low-coverage highly-fragmented genome assemblies and successfully extracted in silico between 3,426 to 42,860 non-duplicated UCEs per sample. Our maximum likelihood phylogenetic tree, reconstructed using the 5,934 UCE loci retrieved from upward of 75% of samples, was congruent with transcriptome-based phylogenies, demonstrating that our UCE bait set is reliable and phylogenetically informative. Combined with non-destructive DNA extraction protocols, our UCE bait set provides the tool needed to carry out a global taxonomic revision of termites based on poorly preserved specimens such as old museum samples. The Termite UCE database is maintained at: https://github.com/oist/TER-UCE-DB/.

Nano delivery of simvastatin targets liver sinusoidal endothelial cells to remodel tumor microenvironment for hepatocellular carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC) developed in fibrotic liver does not respond well to immunotherapy, mainly due to the stromal microenvironment and the fibrosis-related immunosuppressive factors. The characteristic of liver sinusoidal endothelial cells (LSECs) in contributing to fibrosis and orchestrating immune response is responsible for the refractory to targeted therapy or immunotherapy of HCC. We aim to seek a new strategy for HCC treatment based on an old drug simvastatin which shows protecting effect on LSEC. METHOD: The features of LSECs in mouse fibrotic HCC model and human HCC patients were identified by immunofluorescence and scanning electron microscopy. The effect of simvastatin on LSECs and hepatic stellate cells (HSCs) was examined by immunoblotting, quantitative RT-PCR and RNA-seq. LSEC-targeted delivery of simvastatin was designed using nanotechnology. The anti-HCC effect and toxicity of the nano-drug was evaluated in both intra-hepatic and hemi-splenic inoculated mouse fibrotic HCC model. RESULTS: LSEC capillarization is associated with fibrotic HCC progression and poor survival in both murine HCC model and HCC patients. We further found simvastatin restores the quiescence of activated hepatic stellate cells (aHSCs) via stimulation of KLF2-NO signaling in LSECs, and up-regulates the expression of CXCL16 in LSECs. In intrahepatic inoculated fibrotic HCC mouse model, LSEC-targeted nano-delivery of simvastatin not only alleviates LSEC capillarization to regress the stromal microenvironment, but also recruits natural killer T (NKT) cells through CXCL16 to suppress tumor progression. Together with anti-programmed death-1-ligand-1 (anti-PD-L1) antibody, targeted-delivery of simvastatin achieves an improved therapeutic effect in hemi-splenic inoculated advanced-stage HCC model. CONCLUSIONS: These findings reveal an immune-based therapeutic mechanism of simvastatin for remodeling immunosuppressive tumor microenvironment, therefore providing a novel strategy in treating HCC.

Significance of serum miR-29a in the occurrence and progression of diabetic nephropathy: A cross-sectional study.

BACKGROUND: Diabetic nephropathy (DN), a common microvascular complication of type 2 diabetes mellitus (T2DM), is an important factor causing chronic kidney disease. However, the relationship between miR-29a and DN remains unknown. Therefore, a cross-sectional study was conducted to identify a potential molecular biomarker for DN prevention and management by detecting the serum miR-29a levels. METHODS: The serum miR-29a levels were measured in 360 subjects (180 T2DM patients and 180 healthy controls) using quantitative reverse transcription PCR (qRT-PCR), and other conventional indicators were measured and analysed. A binary logistic regression was used to evaluate the DN risk factors; a receiver operating characteristic (ROC) curve was applied to analyse the diagnostic efficacy of miR-29a for DN, and a Spearman's rank correlation analysis was used to evaluate the correlation between serum miR-29a and cystatin C. RESULTS: The serum miR-29 levels in the T2DM patients were higher than those in the healthy subjects and significantly increased with the progression of DN (p < 0.05). Serum miR-29a and cystatin C are independent predictors of the occurrence of DN. Compared with a single indicator, the combination of serum miR-29a and cystatin C has better DN diagnostic performance. In addition, the serum miR-29a levels were positively correlated with cystatin C in the patients with DN (r = 0.521, p < 0.001). CONCLUSION: The expression of serum miR-29a was significantly associated with the occurrence and progression of DN and is expected to become a potential biomarker for the diagnosis of DN.

Characterization of diterpene metabolism in rats with ingestion of seed products from Euphorbia lathyris L. (Semen Euphorbiae and Semen Euphorbiae Pulveratum) using UHPLC-Q-Exactive MS.

Previous pharmacological studies have indicated that diterpenoids are the primary effective chemical cluster in the seeds of Euphorbia lathyris L. The seed products are used in traditional Chinese medicine in the forms of Semen Euphorbiae (SE) and Semen Euphorbiae Pulveratum (SEP). However, the metabolism of the plant's diterpenoids has not been well elucidated, which means that the in vivo metabolite products have not been identified. The current study screened the physiological metabolites of six diterpenes [Euphorbia factor L1 (L1), L2 (L2), L3 (L3), L7a (L7a), L7b (L7b), and L8 (L8)] in feces and urine of rats after oral administration of SE and SEP using UHPLC-Q-Exactive MS. A total of 22 metabolites were detected in feces and 8 in urine, indicating that the major elimination route of diterpenoids is via the colon. Hydrolysis, methylation, and glucuronidation served as the primary metabolic pathways of these diterpenoids. In sum, this study contributed to the elucidation of new metabolites and metabolic pathways of SE and SEP, and the new chemical identities can be used to guide further pharmacokinetic studies.

Bidirectional regulation of BDE-47 on 3T3-L1 cell differentiation based on a restricted cubic spline model.

BDE-47 (2,2,4,4-tetrabromodiphenyl ether) is a polybrominated diphenyl ether (PBDE) congener, which has the characteristics of high biological detection rate, the highest content and strong biological toxicity, and is widely distributed in organisms. Many studies have found that BDE-47 may also be an environmental risk factor for metabolic diseases such as obesity, insulin resistance, type 2 diabetes, and hypertension. However, the way that PBDEs influence adipocyte differentiation remains unclear. The methylisobutylxanthine, dexamethasone, and insulin method was used to study the effect of BDE-47 on the differentiation of 3T3-L1 cells. The 3T3-L1 cells were exposed by different concentrations of BDE-47, and the effect of cell viability was detected at different stages. In addition, the lipid droplet aggregation of adipocytes was observed and the triglyceride (TG) levels in the cytoplasm were detected after differentiation. The relative mRNA expression levels of leptin, adiponectin, and PPARγ in cells were determined by RT-PCR, and differentially expressed genes were preliminarily screened by digital gene expression profile. Our study found that BDE-47 promoted the differentiation of 3T3-L1 cells. Restriction cubic spline analysis showed that BDE-47 bidirectionally. regulated the mRNA synthesis of TG, PPARγ, and leptin genes and the aggregation of lipid droplets. BDE-47 may induce adipocyte differentiation by activating PPARγ, resulting in the differential expression of genes related to the AMPK signaling pathway, insulin resistance, and other metabolic pathways. The highest and lowest-dose BDE-47 exposure groups had the greatest impact on adipocyte differentiation.

CO2 Hydrogenation over Copper/ZnO Single-Atom Catalysts: Water-Promoted Transient Synthesis of Methanol.

The hydrogenation of CO2 by renewable power-generated hydrogen offers a promising approach to a sustainable carbon cycle. However, the role of water during CO2 hydrogenation is still under debate. Herein, we demonstrated that either too low or too high contents of water hampered the methanol synthesis over Cu/ZnO based catalysts. For Cu single atoms on ZnO supports, the optimal content of water was 0.11 vol. % under 30 bar (CO2 : H2 =1 : 3) at 170 °C. Upon the introduction of optimal-content water, the methanol selectivity immediately became 99.1 %, meanwhile the conversion of CO2 underwent a volcano-type trend with the maximum of 4.9 %. According to mechanistic studies, water acted as a bridge between H atoms and CO2 /intermediates, facilitating the transformation of COOH* and CH2 O*. The enhanced activity induced the generation of more water to react with CO via water-gas shift reaction, resulting in the increase in methanol selectivity.

Label-Free Resistance Cytometry at the Orifice of a Nanopipette.

Development of new principles and techniques at the single-cell level is significantly important since cells as basic units of living organisms always bear large heterogeneity. Herein, we demonstrate a new electrochemical principle for single-cell analysis based on an ion current blockage at the orifice of a nanopipette, defined as resistance cytometry. The amplitude and the frequency of ion current transients show strong dependence on the size and the concentration of cells, which could be used for in situ cell sizing and counting. This technique shows good ability to detect the size change of RBCs under stimulations of different pH and osmotic pressure values. More importantly, the as-presented resistance cytometry can distinguish lymphoma blood cells from normal blood cells for patient blood samples. The as-presented resistance cytometry is label-free, non-invasive, and non-destructive, which not only opens new opportunities for single-cell analysis but also provides a new platform for cell-related medical diagnostic technologies.

Fully automated segmentation in temporal bone CT with neural network: a preliminary assessment study.

BACKGROUND: Segmentation of important structures in temporal bone CT is the basis of image-guided otologic surgery. Manual segmentation of temporal bone CT is time- consuming and laborious. We assessed the feasibility and generalization ability of a proposed deep learning model for automated segmentation of critical structures in temporal bone CT scans. METHODS: Thirty-nine temporal bone CT volumes including 58 ears were divided into normal (n = 20) and abnormal groups (n = 38). Ossicular chain disruption (n = 10), facial nerve covering vestibular window (n = 10), and Mondini dysplasia (n = 18) were included in abnormal group. All facial nerves, auditory ossicles, and labyrinths of the normal group were manually segmented. For the abnormal group, aberrant structures were manually segmented. Temporal bone CT data were imported into the network in unmarked form. The Dice coefficient (DC) and average symmetric surface distance (ASSD) were used to evaluate the accuracy of automatic segmentation. RESULTS: In the normal group, the mean values of DC and ASSD were respectively 0.703, and 0.250 mm for the facial nerve; 0.910, and 0.081 mm for the labyrinth; and 0.855, and 0.107 mm for the ossicles. In the abnormal group, the mean values of DC and ASSD were respectively 0.506, and 1.049 mm for the malformed facial nerve; 0.775, and 0.298 mm for the deformed labyrinth; and 0.698, and 1.385 mm for the aberrant ossicles. CONCLUSIONS: The proposed model has good generalization ability, which highlights the promise of this approach for otologist education, disease diagnosis, and preoperative planning for image-guided otology surgery.

Application of a six sigma model to evaluate the analytical performance of urinary biochemical analytes and design a risk-based statistical quality control strategy for these assays: A multicenter study.

BACKGROUND: The six sigma model has been widely used in clinical laboratory quality management. In this study, we first applied the six sigma model to (a) evaluate the analytical performance of urinary biochemical analytes across five laboratories, (b) design risk-based statistical quality control (SQC) strategies, and (c) formulate improvement measures for each of the analytes when needed. METHODS: Internal quality control (IQC) and external quality assessment (EQA) data for urinary biochemical analytes were collected from five laboratories, and the sigma value of each analyte was calculated based on coefficients of variation, bias, and total allowable error (TEa). Normalized sigma method decision charts for these urinary biochemical analytes were then generated. Risk-based SQC strategies and improvement measures were formulated for each laboratory according to the flowchart of Westgard sigma rules, including run sizes and the quality goal index (QGI). RESULTS: Sigma values of urinary biochemical analytes were significantly different at different quality control levels. Although identical detection platforms with matching reagents were used, differences in these analytes were also observed between laboratories. Risk-based SQC strategies for urinary biochemical analytes were formulated based on the flowchart of Westgard sigma rules, including run size and analytical performance. Appropriate improvement measures were implemented for urinary biochemical analytes with analytical performance lower than six sigma according to the QGI calculation. CONCLUSIONS: In multilocation laboratory systems, a six sigma model is an excellent quality management tool and can quantitatively evaluate analytical performance and guide risk-based SQC strategy development and improvement measure implementation.

[Effects of decabromodiphenyl ether on glucose and lipid metabolism and adipocyte factors in C57BL/6 mice].

OBJECTIVE: To investigate the effect of decabromodiphenyl ether(BDE-209) on glucose and lipid metabolism and adipocytokines in mice. METHODS: A total of 36 adult male C57 BL/6 mice were randomly divided into 6 groups, 1000, 800, 600, 450 and 300 mg/kg groups and the control group, with 6 in each group. 60 days after gavage, fasting overnight, the mice were killed and the corresponding test materials were taken. Using an automatic biochemical analyzer to detect triglycerides(TG), total cholesterol(cholesterol, TC), low-density lipoprotein(LDL-C), and high-density lipoprotein(HDL-C). Detected rat fasting blood glucose(FBG) with Roche blood glucose meter. Observed the morphological changes of mouse liver tissue using HE staining. Determined leptin(LEP), the mRNA and protein expression levels of adiponectin(ADP) and peroxisome proliferators-activated receptors(PPAR)-γ with Real-time fluorescent quantitative PCR and Western blotting. RESULTS: The levels of fasting serum lisulin(FINS), insulin sensitivity index(ISI), ADP and HDL-C in the serum of the BDE-209 exposure group decreased(P& lt; 0. 05). The levels of FBG, LEP, TC, TG and LDL-C in the serum of the BDE-209 exposure group increased(P& lt; 0. 05). mRNA and protein expression levels of LEP and PPAR-γ in the liver increased(P& lt; 0. 05), and ADP mRNA and protein expression levels decreased(P& lt; 0. 05). Adipocyte factor LEP was positively correlated with the content of FBG, TG, TC and LDL-C, with r values of 0. 775, 0. 767, 0. 716 and 0. 812(P& lt; 0. 05), and negatively correlated with FINS and HDL-C, with r values of-0. 919 and-0. 817(P& lt; 0. 05). ADP was positively correlated with FINS and HDL-C, with r values of 0. 824 and 0. 832(P& lt; 0. 05), and negatively correlated with FBG, TG, TC and LDL-C, with r values of-0. 883, -0. 686, -0. 704 and-0. 772, respectively(P& lt; 0. 05). BDE-209 exposure to each dose group could change the morphology of mouse liver tissue to a certain extent. CONCLUSION: Decabromodiphenyl ether can disturb the metabolism of glucose and lipids. Among them, the disorder in the high and high dose groups of BDE-209 is more obvious. The low dose of BDE-209 can also change the morphology of liver tissue.

Study of correlations between metabolic risk factors, PWV and hypertension in college students.

Objective: Obesity, dyslipidemia and diabetes have been recognized as risk factors of hypertension in the general population. This study focused on college students and correlations between serum lipids, serum uric acid, fasting plasma glucose, serum creatinine, body mass index, brachial-ankle pulse wave velocity and hypertension. The results suggested that there was no relevance between serum lipids and hypertension. However, it came out that hypertension is associated with normal fasting plasma glucose, BMI (thinness and normal weight), normal serum creatinine. Methods: A total of 5185 students were enrolled, and their blood pressure, height and weight were measured. 285 of the students were selected to take physical examinations including serum uric acid, total cholesterol, low-density lipoprotein cholesterol, triglyceride, high-density lipoprotein cholesterol, fasting plasma glucose, serum creatinine, blood urea nitrogen, ankle-brachial index and brachial-ankle pulse wave velocity measured. Results: The values of systolic blood pressure(SBP), diastolic blood pressure(DBP), serum uric acid, fasting plasma glucose(FPG), serum creatinine, body mass index(BMI), and brachial-ankle pulse wave velocity(baPWV) were higher in hypertension group than those in non-hypertension group (P < .001, <0.001, <0.001, = 0.009, = 0.07, <0.001, <0.001, respectively). Logistic regression showed correlations between hypertension and hyperuricemia (OR = 2.975, 95%CI: 1.672-5.291), obesity (OR = 2.814, 95%CI: 1.297-6.105), fasting plasma glucose (OR = 2.184, 95%CI: 1.090-4.378) and brachial-ankle pulse wave velocity (OR = 1.005, 95%CI: 1.003-1.007). The AUC was 0.786 (95%CI: 0.729-0.842, P < .0001). We can draw a conclusion that hyperuricemia, obesity, fasting plasma glucose and brachial-ankle pulse wave velocity, listed in descending order of influence, are risk factors for hypertension in college students.