Giant magnetocaloric effect in spin supersolid candidate Na2BaCo(PO4)2.

Supersolid, an exotic quantum state of matter that consists of particles forming an incompressible solid structure while simultaneously showing superfluidity of zero viscosity1, is one of the long-standing pursuits in fundamental research2,3. Although the initial report of 4He supersolid turned out to be an artefact4, this intriguing quantum matter has inspired enthusiastic investigations into ultracold quantum gases5-8. Nevertheless, the realization of supersolidity in condensed matter remains elusive. Here we find evidence for a quantum magnetic analogue of supersolid-the spin supersolid-in the recently synthesized triangular-lattice antiferromagnet Na2BaCo(PO4)2 (ref. 9). Notably, a giant magnetocaloric effect related to the spin supersolidity is observed in the demagnetization cooling process, manifesting itself as two prominent valley-like regimes, with the lowest temperature attaining below 100 mK. Not only is there an experimentally determined series of critical fields but the demagnetization cooling profile also shows excellent agreement with the theoretical simulations with an easy-axis Heisenberg model. Neutron diffractions also successfully locate the proposed spin supersolid phases by revealing the coexistence of three-sublattice spin solid order and interlayer incommensurability indicative of the spin superfluidity. Thus, our results reveal a strong entropic effect of the spin supersolid phase in a frustrated quantum magnet and open up a viable and promising avenue for applications in sub-kelvin refrigeration, especially in the context of persistent concerns about helium shortages10,11.

PGD: Shared gene linking polycystic ovary syndrome and endometrial cancer, influencing proliferation and migration through glycometabolism.

The relationship among polycystic ovary syndrome (PCOS), endometrial cancer (EC), and glycometabolism remains unclear. We explored shared genes between PCOS and EC, using bioinformatics to unveil their pathogenic connection and influence on EC prognosis. Gene Expression Omnibus datasets GSE226146 (PCOS) and GSE196033 (EC) were used. A protein-protein interaction (PPI) network was constructed to identify the central genes. Candidate markers were screened using dataset GSE54250. Differences in marker expression were confirmed in mouse PCOS and human EC tissues using RT-PCR and immunohistochemistry. The effect of PGD on EC proliferation and migration was explored using Ki-67 and Transwell assays. PGD's impact on the glycometabolic pathway within carbon metabolism was assessed by quantifying glucose content and lactic acid production. R software identified 31 common genes in GSE226146 and GSE196033. Gene Ontology functional classification revealed enrichment in the "purine nucleoside triphosphate metabolism process," with key Kyoto Encyclopedia of Genes and Genomes pathways related to "carbon metabolism." The PPI network identified 15 hub genes. HK2, NDUFS8, PHGDH, PGD, and SMAD3 were confirmed as candidate markers. The RT-PCR analysis validated distinct HK2 and PGD expression patterns in mouse PCOS ovarian tissue and human EC tissue, as well as in normal and EC cells. Transfection experiments with Ishikawa cells further confirmed PGD's influence on cell proliferation and migration. Suppression of PGD expression impeded glycometabolism within the carbon metabolism of EC cells, suggesting PGD as a significant PCOS risk factor impacting EC proliferation and migration through modulation of single carbon metabolism. These findings highlight PGD's pivotal role in EC onset and prognosis.

A computational account of conflict processing during mental imagery.

Previous studies examining conflict processing within the context of a color-word Stroop task have focused on both stimulus and response conflicts. However, it has been unclear whether conflict can emerge independently of stimulus conflict. In this study, a novel arrow-gaze mental-rotation Stroop task was introduced to explore the interplay between conflict processing and mental rotation. A modelling approach was utilized to provide a process-level account of the findings. The results of our Stroop task indicate that conflict can emerge from mental rotation in the absence of stimulus conflict. The strength of this imagery conflict effect decreases and even reverses as mental rotation angles increase. Additionally, it was observed that participants responded more quickly and with greater accuracy to small rather than large face orientations. A comparison of three conflict diffusion models-the diffusion model for conflict tasks (DMC), the dual-stage two-phase model (DSTP), and the shrinking spotlight model (SSP)-yielded consistent support for the DSTP over the DMC and SSP in the majority of instances. The DSTP account of the experimental results revealed an increased nondecision time with increasing mental rotation, a reduction in interference from incompatible stimuli, and an improved drift rate in response selection phase, which suggests enhanced cognitive control. The findings from the model-based analysis provide evidence for a novel interaction between cognitive control and mental rotation.

GAE-LGA: integration of multi-omics data with graph autoencoders to identify lncRNA-PCG associations.

Long non-coding RNAs (lncRNAs) can disrupt the biological functions of protein-coding genes (PCGs) to cause cancer. However, the relationship between lncRNAs and PCGs remains unclear and difficult to predict. Machine learning has achieved a satisfactory performance in association prediction, but to our knowledge, it is currently less used in lncRNA-PCG association prediction. Therefore, we introduce GAE-LGA, a powerful deep learning model with graph autoencoders as components, to recognize potential lncRNA-PCG associations. GAE-LGA jointly explored lncRNA-PCG learning and cross-omics correlation learning for effective lncRNA-PCG association identification. The functional similarity and multi-omics similarity of lncRNAs and PCGs were accumulated and encoded by graph autoencoders to extract feature representations of lncRNAs and PCGs, which were subsequently used for decoding to obtain candidate lncRNA-PCG pairs. Comprehensive evaluation demonstrated that GAE-LGA can successfully capture lncRNA-PCG associations with strong robustness and outperformed other machine learning-based identification methods. Furthermore, multi-omics features were shown to improve the performance of lncRNA-PCG association identification. In conclusion, GAE-LGA can act as an efficient application for lncRNA-PCG association prediction with the following advantages: It fuses multi-omics information into the similarity network, making the feature representation more accurate; it can predict lncRNA-PCG associations for new lncRNAs and identify potential lncRNA-PCG associations with high accuracy.

Correlation of Cognitive Reappraisal and the Microstructural Properties of the Forceps Minor: A Deductive Exploratory Diffusion Tensor Imaging Study.

Cognitive reappraisal (CR) is a mechanism for emotion regulation, and the prefrontal cortex (PFC) plays a central role in the regulation of emotions. We tested the hypothesis of an association between CR function and microstructural properties of forceps minor (a commissural bundle within the PFC) in healthy subjects (HS). We analyzed a population of 65 young HS of a public dataset. The diffusion tensor imaging (DTI) sequence of every subject was analyzed to extract the derived shape (diameter and volume) and DTI metrics in terms of fractional anisotropy (FA), mean diffusivity (MD), radial diffusivity (RD), and axial diffusivity (AD) of the forceps minor. The CR subscale of the German version of the Emotion Regulation Questionnaire (ERQ) was used for CR assessment. The Shapiro-Wilk test was applied to test the assumption of normality in all these parameters, adopting a statistical threshold at p < 0.05. Whenever appropriate a non-parametric two-tailed partial correlation analysis was applied to test for correlations between the CR ERQ score and the derived shape and DTI metrics, including age and sex as confounders, adopting a statistical threshold at p < 0.05. The non-parametric two-tailed partial correlation analysis revealed a mildly significant correlation with FA (ρ = 0.303; p = 0.016), a weakly significant negative correlation with MD (ρ = - 0.269; p = 0.033), and a mildly significant negative correlation with RD (ρ = - 0.305; p = 0.015). These findings suggest a correlation between DTI microstructural properties of forceps minor and CR.

Increasing amyloplast size in wheat endosperm through mutation of PARC6 affects starch granule morphology.

The determination of starch granule morphology in plants is poorly understood. The amyloplasts of wheat endosperm contain large discoid A-type granules and small spherical B-type granules. To study the influence of amyloplast structure on these distinct morphological types, we isolated a mutant in durum wheat (Triticum turgidum) defective in the plastid division protein PARC6, which had giant plastids in both leaves and endosperm. Endosperm amyloplasts of the mutant contained more A- and B-type granules than those of the wild-type. The mutant had increased A- and B-type granule size in mature grains, and its A-type granules had a highly aberrant, lobed surface. This morphological defect was already evident at early stages of grain development and occurred without alterations in polymer structure and composition. Plant growth and grain size, number and starch content were not affected in the mutants despite the large plastid size. Interestingly, mutation of the PARC6 paralog, ARC6, did not increase plastid or starch granule size. We suggest TtPARC6 can complement disrupted TtARC6 function by interacting with PDV2, the outer plastid envelope protein that typically interacts with ARC6 to promote plastid division. We therefore reveal an important role of amyloplast structure in starch granule morphogenesis in wheat.

Tangent Space Approach for Thermal Tensor Network Simulations of the 2D Hubbard Model.

Accurate simulations of the two-dimensional (2D) Hubbard model constitute one of the most challenging problems in condensed matter and quantum physics. Here we develop a tangent space tensor renormalization group (tanTRG) approach for the calculations of the 2D Hubbard model at finite temperature. An optimal evolution of the density operator is achieved in tanTRG with a mild O(D^{3}) complexity, where the bond dimension D controls the accuracy. With the tanTRG approach we boost the low-temperature calculations of large-scale 2D Hubbard systems on up to a width-8 cylinder and 10×10 square lattice. For the half-filled Hubbard model, the obtained results are in excellent agreement with those of determinant quantum Monte Carlo (DQMC). Moreover, tanTRG can be used to explore the low-temperature, finite-doping regime inaccessible for DQMC. The calculated charge compressibility and Matsubara Green's function are found to reflect the strange metal and pseudogap behaviors, respectively. The superconductive pairing susceptibility is computed down to a low temperature of approximately 1/24 of the hopping energy, where we find d-wave pairing responses are most significant near the optimal doping. Equipped with the tangent-space technique, tanTRG constitutes a well-controlled, highly efficient and accurate tensor network method for strongly correlated 2D lattice models at finite temperature.

Self-Organization of Nonlinearly Coupled Neural Fluctuations Into Synergistic Population Codes.

Neural activity in the brain exhibits correlated fluctuations that may strongly influence the properties of neural population coding. However, how such correlated neural fluctuations may arise from the intrinsic neural circuit dynamics and subsequently affect the computational properties of neural population activity remains poorly understood. The main difficulty lies in resolving the nonlinear coupling between correlated fluctuations with the overall dynamics of the system. In this study, we investigate the emergence of synergistic neural population codes from the intrinsic dynamics of correlated neural fluctuations in a neural circuit model capturing realistic nonlinear noise coupling of spiking neurons. We show that a rich repertoire of spatial correlation patterns naturally emerges in a bump attractor network and further reveals the dynamical regime under which the interplay between differential and noise correlations leads to synergistic codes. Moreover, we find that negative correlations may induce stable bound states between two bumps, a phenomenon previously unobserved in firing rate models. These noise-induced effects of bump attractors lead to a number of computational advantages including enhanced working memory capacity and efficient spatiotemporal multiplexing and can account for a range of cognitive and behavioral phenomena related to working memory. This study offers a dynamical approach to investigating realistic correlated neural fluctuations and insights to their roles in cortical computations.

Halomonas dongshanensis sp. nov., isolated from the seawater of Dongshan Island.

A taxonomic study was carried out on strain yzlin-01T, isolated from Dongshan Island seawater. The bacterium was Gram-stain-negative, catalase-positive, oxidase-negative, rod-shaped, and motile by polar flagella. Growth was observed at temperatures of 10-40 °C, at salinities of 0.5-18 %, and at pH of 6-10. Phylogenetic analysis based on 16S rRNA gene sequences indicated that strain yzlin-01T belonged to the genus Halomonas, with the highest sequence similarity to Halomonas malpeensis YU-PRIM-29T (96.7 %), followed by Halomonas johnsoniae T68687T (96.4 %) and Halomonas gomseomensis M12T (96.4 %), and other species of the genus Halomonas (93.4-96.3 %). The ANI and digital DNA-DNA hybridization estimate values between strain yzlin-01T and the closest type strain Halomonas malpeensis YU-PRIM-29T were 77.44 and 21.6 %, respectively. The principal fatty acids were summed feature 8 (consisting of C18 : 1 ω7c and/or C18 : 1 ω6c; 55.7 %), C16 : 0 (20.6 %), C12 : 0 3-OH (6.8 %), summed feature 3 (consisting of C16 : 1 ω7c and/or C16 : 1 ω6c; 5.1 %). The G+C content of the chromosomal DNA was 60.0 mol %. The respiratory quinone was identified as Q-9 (100 %). Phosphatidylethanolamine, phosphatidylglycerol, diphosphatidylglycerol, aminophospholipid, and three unidentified phospholipids were present. Combined genotypic and phenotypic data suggest that strain yzlin-01T represents a novel species within the genus Halomonas, for which the name Halomonas dongshanensis sp. nov. is proposed, with the type strain yzlin-01T (=GDMCC 1.3202T=KCTC 92467T).

Long-term impact of weight loss for people with overweight but not obesity, and with type 2 diabetes: 10-year outcomes of a randomized trial of gastric band surgery.

AIM: Randomized trials reporting 5-year outcomes have shown bariatric surgery  to induce diabetes remission and improve cardiovascular risk. However, the longer-term effects of surgery are uncertain, with only one randomized trial reporting 10-year diabetes outcomes in people with obesity. We aimed to compare 10-year diabetes outcomes of people who are overweight but not obese, randomly assigned to receive either multidisciplinary diabetes care, or multidisciplinary diabetes care combined with gastric band (GB) surgery. METHODS: Between 2009 and 2011, 51 adults were randomized. After 5 years, they were discharged to receive community care and reassessed after 10 years. The primary outcome was diabetes remission, defined as glycated haemoglobin (HbA1c) <6.5% (48 mmol/mol) without glucose-lowering medication. RESULTS: Forty-one participants (20 medical and 21 GB) completed the 10-year assessment. The median (Q1, Q3) weight loss in the GB group was 9.8 (6.7, 16.3)% at 10 years compared with 5.6 (3.4, 7.6)% in the medical group (median difference 4.2%; p = .008). Diabetes remission occurred in five GB participants and no medical participants (relative risk 0.76, 95% CI: 0.55-0.93, p = .048). GB participants used fewer glucose-lowering medications at 10 years but HbA1c, fasting glucose, calculated cardiovascular risk, quality-of-life and incident diabetes complications did not differ significantly between the groups. CONCLUSION: When compared with medical care, GB surgery achieved greater weight loss and modestly increased the likelihood of diabetes remission. However, it did not improve HbA1c, cardiovascular risk or quality of life.

Novel patient-derived xenograft and cell line models for therapeutic screening in NF2-associated schwannoma.

Treatment of schwannomas in patients with neurofibromatosis type 2 (NF2) is extremely unsatisfactory, and innovative therapeutic approaches are urgently needed. However, the lack of clinically relevant NF2-associated schwannoma models has severely hampered drug discovery in this rare disease. Here we report the first establishment and characterization of patient-derived xenograft (PDX) and cell line models of NF2-associated schwannoma, which recapitulates the morphological and histopathological features of patient tumors, retain patient NF2 mutations, and maintain gene expression profiles resembling patient tumor profiles with the preservation of multiple key signaling pathways commonly dysregulated in human schwannomas. Using gene expression profiling, we identified elevated PI3K/AKT/mTOR networks in human NF2-associated vestibular schwannomas. Using high-throughput screening of 157 inhibitors targeting the PI3K/AKT/mTOR pathways in vitro, we identified a dozen inhibitors (such as BEZ235, LY2090314, and AZD8055) with significant growth-suppressive effects. Interestingly, we observed that three cell lines displayed differential therapeutic responses to PI3K/AKT/mTOR inhibitors. Furthermore, we demonstrated that two orally bioavailable inhibitors, AZD8055 and PQR309, suppressed NF2-associated schwannoma growth both in vitro and in vivo. In conclusion, our novel patient-derived models of NF2-associated schwannoma closely mimic the phenotypes and genotypes of patient tumors, making them reliable preclinical tools for testing novel personalized therapies. © 2022 The Pathological Society of Great Britain and Ireland.

Effect of ZnCl2 assisted chemical bath deposition on preferred orientations and optical properties of ZnO films.

Using zinc chloride as an additive assisted with conventional solutions of zinc acetate dihydrate and hexamethylenetetramine, the synthesis of ZnO films by chemical bath deposition was investigated and characterized by x-ray diffraction, field emission scanning electron microscopy, atomic force microscope, photoluminescence (PL) and UV-Vis spectrophotometry. ZnO films with (0002), (101̄2), (112̄2), (112̄0), and (101̄0) preferential growth orientation were prepared by changing the concentration of the introduced zinc chloride. The results of UV-Vis spectrophotometry show that the ZnO films with different preferential growth orientations have optical transmittance of more than 80% in the visible light region. Results from PL show that compared to the typical polar (0002) preferential growth orientation of ZnO, other films with different preferential growth orientations have different visible emissions. It was also confirmed that the concentration of Cl- can affect the defects and preferred orientations of ZnO films. This work enriches the fabrication of ZnO films with different preferential growth orientations and also provides new ideas for the fabrication of ZnO-based transparent nanodevices.

Thromboelastography (TEG) parameters as potential predictors of malignancy and tumor progression in colorectal cancer.

PURPOSE: The purpose of this study was to investigate the use of thromboelastography (TEG) in patients with colorectal cancer and to examine whether the TEG parameters can be used as potential markers for disease screening and prediction of disease severity. METHODS: One-hundred fifteen healthy controls (HC), 43 patients with benign adenoma (BA), and 387 patients with colorectal cancers (CRC) were included in the study. TEG parameters (reaction time, R; clot kinetics, K; alpha angle, α-angle; maximum amplitude, MA), conventional laboratory parameters, and clinical information were collected and analyzed among the HC, BA, and CRC groups. Receiver operating characteristics (ROC) were used for differential analysis. The correlation between TEG parameters and pathological information of CRC (differentiation degree, vaso-nerve infiltration, TNM stage) was analyzed. The differences in TEG parameters at different stages of disease and pre-/post operation were compared. RESULTS: Shorter K and higher α-angle/MA were found in patients with CRC compared with HC and BA (P < 0.001). TEG parameters demonstrated moderate diagnostic value (distinguish CRC from HC + BA: K-AUC = 0.693, α-angle-AUC = 0.687, MA-AUC = 0.700) in CRC but did not outperform traditional laboratory parameters. TEG hypercoagulability was closely associated with tumor markers (carcinoma embryonic antigen and carbohydrate antigen 19-9) and pathological information (differentiation degree, vaso-nerve infiltration, and TNM stage) (P < 0.05). Trend analysis showed that K decreased, but α-angle/MA increased gradually as the tumor progressed (P < 0.001). K- and α-angle showed slightly better sensitivity in predicting advanced tumors compared to traditional laboratory parameters. In CRC patients, 3-6 months after tumor resection, K [from 1.8 (1.5, 2.3) to 1.9 (1.6, 2.6)], α-angle [from 65.3 (59.0, 68.6) to 63.7 (56.6, 68.5)], and MA [from 61.0 (58.2, 66.0) to 58.9 (55.8, 61.3)] exhibited modest improvements compared to their preoperative values (P < 0.05). CONCLUSION: TEG parameters possess moderate diagnostic value in CRC diagnosis and predicting advanced tumors, and they are closely linked to surgical interventions. Although TEG parameters do not significantly outperform traditional laboratory parameters, they still hold promise as potential alternative indicators in CRC patients.

Collaborative practice among general ward staff on escalating care in clinical deterioration: A systematic review.

AIM: To understand the issues surrounding collaborative practice and collaboration experiences among general ward staff in the escalation of care for clinically deteriorating patients. DESIGN: A systematic synthesis without meta-analysis. REVIEW METHODS: Seven electronic databases (CINAHL, Cochrane, Embase, PsycINFO, PubMed, Scopus and ProQuest Theses and Dissertations) were searched from their inception to 30 April 2022. Two reviewers independently screened titles, abstracts and full text for eligibility. The critical appraisal skill programme, Joanna Briggs Institute checklist for analytical cross-sectional studies and mixed methods appraisal tool were used to appraise the quality of the included studies. Both quantitative and qualitative research data were extracted, analysed and then synthesised using the data-based convergent qualitative synthesis approach. This review adhered to the Synthesis without meta-analysis (SWiM) reporting guidelines. RESULTS: A total of 17 studies were included. Two themes and six sub-themes were generated: (1) intraprofessional factors-inadequate handover, workload and mutual support, raising and acting on concerns, and seeking help from seniors and (2) interprofessional factors-differences in communication styles, and hierarchical approach versus interpersonal relationships. CONCLUSIONS: This systematic review highlights the need to address the intra- and interprofessional issues surrounding collaborative practice in escalation of care among general ward staff. IMPLICATIONS FOR THE PROFESSION: Findings from this review will inform healthcare leaders and educators on the development of relevant strategies and multi-disciplinary training to foster effective teamwork among nurses and doctors, with the goal of improving the escalation of care for patients with clinical deterioration. NO PATIENT OR PUBLIC CONTRIBUTION: This systematic review did not directly involve patient or public contribution to the manuscript.

The pathogenesis and regulatory role of HIF-1 in rheumatoid arthritis.

Rheumatoid arthritis (RA) is a prevalent autoimmune disease that involves the overgrowth and inflammation of synovial tissue, leading to the degeneration and impairment of joints. In recent years, numerous studies have shown a close relationship between the hypoxic microenvironment in joints and the occurrence and progression of RA. The main cause of the pathological changes in RA is widely believed to be the abnormal expression of hypoxia-inducible factor-1 (HIF-1) in joints. This paper describes and illustrates the structure and primary functions of HIF-1 and explains the main regulatory methods of HIF-1, including the PHDs/HIF-1 α/pVHL pathway, factor-inhibiting HIF (FIH), regulation of inflammatory cytokines, and the NF-κB pathway. Furthermore, this paper discusses the mechanism of HIF-1 and its impact on inflammation, angiogenesis, and cartilage destruction in greater detail. We summarize previous research findings on the mechanism of HIF-1 and propose new potential treatments for RA based on the pathogenesis of HIF-1 in RA.

Sub-Nyquist optical pulse sampling for photonic blind source separation.

We propose and experimentally demonstrate an optical pulse sampling method for photonic blind source separation. The photonic system processes and separates wideband signals based on the statistical information of the mixed signals, and thus the sampling frequency can be orders of magnitude lower than the bandwidth of the signals. The ultra-fast optical pulses collect samples of the signals at very low sampling rates, and each sample is short enough to maintain the statistical properties of the signals. The low sampling frequency reduces the workloads of the analog to digital conversion and digital signal processing systems. In the meantime, the short pulse sampling maintains the accuracy of the sampled signals, so the statistical properties of the under-sampled signals are the same as the statistical properties of the original signals. The linear power range measurement shows that the sampling system with ultra-narrow optical pulse achieves a 30dB power dynamic range.

Therapeutic options for premature ovarian insufficiency: an updated review.

Primary ovarian insufficiency (POI) is a rare gynecological condition. This disease causes menstrual disturbances, infertility, and various health problems. Historically, hormone replacement therapy is the first-line treatment for this disorder. Women diagnosed with POI are left with limited therapeutic options. In order to remedy this situation, a new generation of therapeutic approaches, such as in vitro activation, mitochondrial activation technique, stem cell and exosomes therapy, biomaterials strategies, and platelet-rich plasma intra-ovarian infusion, is being developed. However, these emerging therapies are yet in the experimental stage and require precise design components to accelerate their conversion into clinical treatments. Thus, each medical practitioner bears responsibility for selecting suitable therapies for individual patients. In this article, we provide a timely analysis of the therapeutic strategies that are available for POI patients and discuss the prospects of POI therapy.

The Pro-Diab Melbourne Perioperative Study: A structured pre-admission perioperative diabetes management plan to improve medication usage in elective surgery.

BACKGROUND: Perioperative diabetes management has become increasingly complex; management is often inconsistent resulting in dysglycaemia and associated morbidity. AIM: To evaluate a structured pre-admission perioperative diabetes management plan (PDMP) for safe and appropriate recommendation, prescription and administration of diabetes medications in the perioperative period for people with diabetes undergoing elective, non-cardiac surgery. METHODS: A multidisciplinary team developed the intervention, a structured PDMP (including diabetes medication reconciliation, management guide, individualised plan) to standardise optimal perioperative diabetes management. A single centre prospective pre- and post-intervention pilot study was performed, including all individuals with diabetes medications attending the pre-admissions clinic during two 4-month periods (February to May) in 2016 (control period) and 2017 (intervention period). The primary outcome was appropriate recommendation, prescription and administration of diabetes medications (including insulin), according to the PDMP, in the perioperative period. Secondary outcomes measures were glycaemia. Analysis was by intention to treat. RESULTS: Control and intervention groups included 131 and 133 participants, respectively; they were well matched in clinical characteristics. The PDMP was completed correctly in 100 (75%) individuals in the intervention group. The appropriate use of diabetes medications increased from 30% in the control group to 71% in the intervention group (p < 0.001). Following the PDMP implementations, glycaemia improved in the overall perioperative period (8.7 ± 2.9 vs. 9.8 ± 3.3 mmol/L, p = 0.005) and at all time points (from admission and over entire hospital stay). CONCLUSION: A structured pre-admission perioperative diabetes management plan for elective surgery improved safe and appropriate diabetes medication use and glycaemia in the perioperative period.

Biochar microtube interconnected hydrotalcite nanosheets for the adsorption of aqueous Sb(III).

Actuated by the non-ionic heavy metal of antimony (Sb) contaminants with undesired toxicity to the environment and human health, capturing Sb is urgent to remedy contaminated water. Herein, the lamellar MnCo hydrotalcite was grown on catkin-derived biochar through the in situ etching of ZIF-L to construct a hierarchical microtube@nanosheet hybrid (CLMH) for Sb immobilization. The adsorption behaviour and mechanism of trivalent antimony (Sb (III)) on the CLMH were investigated. The CLMH shows good pH applicability for capturing Sb(III) at pH from 2 to 9. The excellent adsorption capacity of CLMH for Sb(III) is 247.62 mg g-1at 303 K, and the endothermic process is proved by the positive value of ΔH0(10.54 kJ mol-1). The adsorption process is fitted with the intra-particle diffusion model, which can be described with external mass transfer, intraparticle diffusion in pores, and equilibrium stage. The adsorption mechanism is proved, which includes the bind of Metal-O-Sb bonds by inner-sphere complex, the embedding of Sb in the intercalation of hydrotalcite, redox between Mn and Sb, and functional groups dependent anchoring effect. The work benefits the understanding of the antimony removal behaviour over the hierarchical microtube@nanosheet hybrids.

Construction of Fzd6Q152E mice through CRISPR/Cas9 technology and their reproduction and identification.

BACKGROUND: The CRISPR/Cas9 system is widely used for genome editing in human, rat and mouse cells. In this study, we established Fzd6 mutant mice using CRISPR/Cas9 technology, and obtained Fzd6 homozygous mutant (Fzd6Q152E) mice through breeding. Fzd6 plays a role in depression, but there are few related reports. We used this model to investigate the mechanism of Fzd6 involved in depression, and build a solid foundation for subsequent in-depth studies. METHODS AND RESULTS: The target of Fzd6 mutation was obtained by CRISPR/Cas9 technology and hippocampal tissue was collected for Nissl staining and histological analysis. Blood was collected for enzyme linked immunosorbent assay (ELISA); The gene expression of Fzd6 and the related genes expression in wnt pathway was quantified by quantitative real-time PCR (qRT-PCR), and then expression of Fzd6 and proteins in the Wnt pathway were identified by western blotting. ELISA results showed that the expression levels of brain derived neurotrophic factor (BDNF), 5-hydroxytryptamine (5-HT), and Noradrenaline (NE) in serum were significantly decreased in Fzd6Q152E mice, whereas the mRNA expression of Lrp5, Lrp6, and Dkk2 is increased. The western blotting revealed that the expression of Fzd6 and Lrp6 is decreased, although the expression of Dkk2 and Gsk-3ß increased. CONCLUSION: Our study successfully established homozygous Fzd6 mutant mice model. The relationship between Fzd6-Wnt and depression was preliminarily clarified, which provides an ideal animal model for subsequent research on diseases induced by the Fzd6 mutation.