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Two-dimensional (2D) nanomaterials, such as graphene, MoS2, and MAX, have attracted increasing research attention in recent years due to their unique structural and performance advantages. However, their complex production processes and equipment requirements are significant issues affecting their widespread use. Here, with an exfoliation strategy using three-roll milling, we present a simple, cost-effective, and extensible method to produce multilayer graphene, BN, MoS2, and Ti3AlC2 nanosheets. The roller and phenolic resin created three kinds of forces on the layered 2D materials, i.e., shear forces, compressive forces, and adhesive forces, which exfoliated layered materials from their edges and surfaces into nanosheets. Subsequently, the exfoliated materials were ultrasonically washed with alcohol, treated with ultrasonic vibration, and centrifuged to obtain 2D nanomaterials. The easy operation and high yield are attractive for research based on the construction of high-performance 2D nanosheet-based devices at low cost. Herein, the obtained multilayer graphene and MoS2 nanosheets were used as anode materials of sodium/potassium-ion batteries, respectively, to test their electrochemical properties. Better performances are obtained compared with their primary bulk materials.

ABSTRACTTetrastigma hemsleyanum Diels & Gilg (TDG) has been recently planted in reclaimed lands in Zhejiang Province, China, to increase reclaimed land use. Winter cold stress seriously limits the growth and development of TDG and has become the bottleneck limiting the TDG planting industry. To investigate the defense mechanisms of TDG toward winter cold stress when grown on reclaimed land, a combined analysis of soil bacterial communities, metabolites, and physicochemical properties was conducted in this study. Significant differences were observed in the composition of soil bacterial communities, metabolites, and properties in soils of a cold-tolerant variety (A201201) compared with a cold-intolerant variety (B201810). The fresh weight (75.8% of tubers) and dry weight (73.6%) of A201201 were significantly higher than those of B201810. The 16S rRNA gene amplicon sequencing of soil bacteria showed that Gp5 (25.3%), Gemmatimonas (19.6%), Subdivision3 (16.7%), Lacibacterium (11.9%), Gp4 (11.8%), Gp3 (10.4%), Gp6 (7.0%), and WPS-1 (1.2%) were less common, while Chryseolinea (10.6%) were more common in A201201 soils than B201810 soils. Furthermore, linear discriminant analysis of effect size identified 35 bacterial biomarker taxa for both treatments. Co-occurrence network analyses also showed that the structures of the bacterial communities were more complex and stable in A201201 soils compared to B201810 soils. In addition, ultra-high-performance liquid chromatography coupled to mass spectrometry analysis indicated the presence of significantly different metabolites in the two soil treatments, with 10 differentially expressed metabolites (DEMs) (8 significantly upregulated by 9.2%–391.3% and 2 significantly downregulated by 25.1%–73.4%) that belonged to lipids and lipid-like molecules, organic acids and derivatives, and benzenoids. The levels of those DEMs were significantly correlated with the relative abundances of nine bacterial genera. Also, redundancy discriminant analysis revealed that the main factors affecting changes in the bacterial community composition were available potassium (AK), microbial biomass nitrogen (MBN), microbial biomass carbon (MBC), alkaline hydrolysis nitrogen (AHN), total nitrogen (TN), available phosphorus (AP), and soil organic matter (SOM). The main factors affecting changes in the metabolite profiles were AK, MBC, MBN, AHN, pH, SOM, TN, and AP. Overall, this study provides new insights into the TDG defense mechanisms involved in winter cold stress responses when grown on reclaimed land and practical guidelines for achieving optimal TDG production.IMPORTANCEChina has been undergoing rapid urbanization, and land reclamation is regarded as a viable option to balance occupation and compensation. In general, the quality of reclaimed land cannot meet plant or even cultivation requirements due to poor soil fertility and high gravel content. However, Tetrastigma hemsleyanum Diels & Gilg (TDG), extensively used in Chinese herbal medicine, can grow well in stony soils with few nutrients. So, to increase reclaimed land use, TDG has been cultivated on reclaimed lands in Zhejiang Province, China, recently. However, the artificial cultivation of TDG is often limited by winter cold stress. The aim of this study was to find out how TDG on reclaimed land deal with winter cold stress by looking at the bacterial communities, metabolites, and physicochemical properties of the soil, thereby guiding production in practice.

Prolamins, proteins derived from plants, have extensive applications in pharmaceutics and food science. Jiuzao is a byproduct of the Baijiu brewing industry, and is a great source of prolamin. Despite its importance, knowledge regarding the extraction techniques and the properties of prolamin derived from Baijiu Jiuzao (PBJ) remains limited. Reverse micelles (RMs) extraction offers an efficient and cost-effective method for purifying proteins. In the present study, prolamin was extracted from Baijiu Jiuzao using RMs extraction and subsequently characterized in terms of its secondary structure, morphology, and particle size distribution. Our findings indicate that the purified prolamin extracted using further RMs extraction possessed higher α-helix content (+13.25%), forming a large-scale protein network, and narrower particle size distributions compared to the crude prolamin obtained by NaOH-ethanol method. This research suggests that RMs extraction has potential applications in extracting prolamin from brewing industry byproducts, offering an environmentally friendly approach to Baijiu Jiuzao recycling.

Background: This study aimed to explore the association between cardiac fibroblast activation and cardiac magnetic resonance (CMR) imaging parameters in patients with myocarditis following infection with coronavirus 2019 (COVID-19). Methods: In this prospective study, four patients with COVID-19-related myocarditis underwent 99mTc-labeled–hydrazinonicotinamide–fibroblast activation protein inhibitor-04 (99mTc-HFAPi) single photon emission computed tomography/computed tomography (SPECT/CT) and CMR imaging. Segmental 99mTc-HFAPi activity was quantified as the percentage of average segmental myocardial count × global left ventricular target-to-background ratio. T1/T2 values, extracellular volume (ECV), and late gadolinium enhancement (LGE) were analyzed by CMR. The consistency between myocardial 99mTc-HFAPi activity and CMR parameters was explored. Results: In patients with myocarditis, the proportion of segments with abnormal 99mTc-HFAPi activity was significantly higher than in those with abnormal LGE (81.25% vs. 60.93%, p = 0.011), abnormal T2 (81.25% vs. 50.00%, p < 0.001), and abnormal ECV (81.25% vs. 59.38%, p = 0.007); however, they were similar in those with abnormal native T1 (81.25% vs. 73.43%, p = 0.291). Meanwhile, 99mTc-HFAPi imaging exhibited good consistency with native T1 (kappa = 0.69). Conclusions: Increased cardiac 99mTc-HFAPi activity is present in COVID-19-related myocarditis, which is correlated with the native T1 values in CMR.

Interconnected microchannels (IMCs) in flow boiling have the advantages of optimized heat transfer performance, energy savings and high efficiency, compact size, and strong customizability. They provide new solutions for thermal management and heat transfer at the microscale and have broad application prospects. To further investigate the effect of microchannels with different numbers of transverse sections on the flow boiling heat transfer, we performed numerical simulations on a rectangular microchannel (RMC) and IMCs with 3, 5, and 7 transverse microchannels at high and low mass flux. It was found that fluid experiences similar bubble and slug flow in different numbers of IMCs and the RMC at low mass flux. At a heat flux of q = 90 W/cm2, the downstream regions of the IMCs produce vapor films that span the channels, obstructing the cross-section and weakening the flow exchange between the channels, which lead the heat transfer performance factor of IMC-3, reaching 148.43%, 110.04%, and 116.92% of the RMC, IMC-5, and IMC-7. Under high-quality flux, as the heat flux increases, the heat transfer coefficient increases and the pressure drop decreases due to the existence of lateral microchannels introduced in the interconnected microchannels. Whether at high or low mass flux, structural reasons pertaining to the RMC can easily lead to the accumulation of bubbles and the occurrence of slugs, and the flow boiling instability increases with the increase of heat flux, which leads to a pressure drop and heat transfer performance generally lower than that of IMCs under the same conditions. At q = 120 W/cm2, IMC-7 showed the best heat transfer enhancement. Its heat transfer performance factor was 129.37%, 120.594% and 107.98% of the RMC, IMC-3, and IMC-5, respectively. This article provides theoretical support for the design of interconnected microchannels in thermal management.

Background: Climate change has led to the frequent occurrence of high-temperature weather, which has various adverse effects on health, ranging from blood metabolism to systemic organ function. In particular, the sequelae of heat stress injury in most people are related to the nervous system. However, the mechanisms between heat stress and mental health conditions, especially heat stress and anxiety, remain unclear. Objective: We attempted to elucidate the effect of heat exposure intervention on anxiety levels in the population and its mechanism. Methods: We first carried out a randomized controlled trial in 20 college students in Beijing, China, to observe the results of the effects of heat exposure intervention on human anxiety. Then, we collected blood samples before and after heat exposure experiment and used metabolomic and transcriptomic approaches to quantify serum metabolites and ELISA measurements to explore the underlying mechanisms. Results: We found that even 1.5-hour heat exposure intervention significantly increased anxiety levels. Heat stress-induced anxiety was mediated by the activation of the HPA axis, inflammation, oxidative stress, and subsequently unbalanced neurotransmitters. Metabolites such as BDNF, GABA, and glucocorticoids released by the adrenal glands are biomarkers of heat stress-induced anxiety. Conclusions: We have demonstrated a causal link between heat stress and anxiety, explored possible biological pathway between heat stress and anxiety. Heat stress can cause the activation of the HPA axis and lead to changes in the body's metabolism, resulting in a series of changes such as inflammation and oxidative stress, leading to anxiety. This study reveals hidden health cost of climate change that has been underexplored, and also reminds us the importance of immediate climate actions.

The regulator of expression of virion (Rev) protein binds specifically to the Rev-responsive element (RRE) RNA in order to regulate the expression of the human immunodeficiency virus (HIV)-1 genes. Fluorescence indicator displacement assays have been used to identify ligands that can inhibit the Rev–RRE interaction; however, the small fluorescence indicators cannot fully replace the Rev peptide or protein. As a result, a single rhodamine B labeled Rev (RB-Rev) model peptide was utilized in this study to develop a direct and efficient Rev–RRE inhibitor screening model. Due to photon-induced electron transfer quenching of the tryptophan residue on the RB fluorophore, the fluorescence of RB in Rev was weakened and could be dramatically reactivated by interaction with RRE RNA in ammonium acetate buffer (approximately six times). The interaction could reduce the electron transfer between tryptophan and RB, and RRE could also increase RB fluorescence. The inhibitor screening model was evaluated using three known positive Rev–RRE inhibitors, namely, proflavin, 6-chloro-9-[3-(2-chloroethylamino)propylamino]-2-methoxyacridine (ICR 191), and neomycin, as well as a negative drug, arginine. With the addition of the positive drugs, the fluorescence of the Rev–RRE decreased, indicating the displacement of RB-Rev. This was confirmed using atomic force microscopy (AFM) and the fluorescence was essentially unaffected by the addition of arginine. The results demonstrated that RB-Rev can be used as a fluorescent probe for recognizing small ligands that target RRE RNA. The Rev–RRE inhibitor screening model offers a novel approach to evaluating and identifying long-acting Rev inhibitors.

The maternal-fetal interface is defined as the interface between maternal tissue and sections of the fetus in close contact. RNA methylation modifications are the most frequent kind of RNA alterations. It is effective throughout both normal and pathological implantation and placentation during pregnancy. By influencing early embryo development, embryo implantation, endometrium receptivity, immune microenvironment, as well as some implantation and placentation-related disorders like miscarriage and preeclampsia, it is essential for the establishment of the maternal-fetal interface. Our review focuses on the role of dynamic RNA methylation at the maternal-fetal interface, which has received little attention thus far. It has given the mechanistic underpinnings for both normal and abnormal implantation and placentation and could eventually provide an entirely novel approach to treating related complications.

Abstract The traditional foreground‐background segmentation models mainly depend on the low‐level features of the image, while ignoring the visual effect. Combining visual perception and local features, a top‐down segmentation model is proposed. This model regards foreground‐background segmentation as a reasoning problem based on visual perception, and calculates the association between two‐pixel blocks through Kullback–Leibler divergence, which solves the ill‐posed problem of traditional single‐pixel recognition. Meanwhile, local features are used to optimize the overall segmentation results in detail and improve the segmentation accuracy. The experimental results on the CMU‐Cornell iCoseg database and the BSDS500 database show that visual perception and local features can help improve the segmentation performance to a certain extent.

The vaginal microbiota undergoes subtle changes during pregnancy, which may affect different pregnancy responses. This study used the Illumina MiSeq high-throughput sequencing method to analyze the 16S rRNA gene amplicons of pregnant women and the vaginal microbiota structure of pregnant women at different pregnancy periods. There were a total of 15 pregnant women, with 45 samples were taken from these women, within half a year before becoming pregnant, in the last trimester, and 42 days postpartum. Before and after pregnancy, the female vaginal microbiota was mainly composed of Firmicutes, followed by Actinobacteriota and Proteobacteria. The abundance of Lactobacillus was relatively high. The α-diversity and microbial abundance were relatively low, and there was no significant difference in microbial composition between the two. After childbirth, the diversity and abundance of women’s vaginal bacterial communities were higher, with a decrease in the number of Firmicutes and a higher abundance of Actinobacteria, Proteobacteria, and Bacteroidota. There was a significant difference in the microbial community structure before and after pregnancy. This study showed that the microbiota structure of the vagina of pregnant women was similar to before pregnancy, but after childbirth, there were significant changes in the microbiota of the vagina, with a decrease in the number of probiotics and an increase in the number of harmful bacteria, increasing the risk of illness.

Objective: The study revealed the material basis and potential mechanism of Gynostemma pentaphyllum for preventing obesity through network pharmacology and molecular docking technology. Methods: Using TCMSP database combined with literatures to supplement the screening of active ingredients. Using Pubchem and Swiss target prediction databases to collect the targets of active ingredients of Gynostemma pentaphyllum. Using GeneCards, OMIM and DurgBank databases to obtain obesity targets. Taking the intersection of Gynostemma pentaphyllum action targets and disease targets as Gynostemma pentaphyllum prevention and treatment targets for obesity, and using Cytoscape 3.7.2 software to construct a drug-compound-target network. The STRING database was used to construct a target protein interaction PPI network to screen core targets, Discovery Studio 3.5 was used to docks the selected core targets with the active ingredient molecules, DAVID database performs GO enrichment and KEGG pathway annotation analysised on intersection targets, and built a component-target-pathway interaction network model based on the above results. Results: A total of 16 compounds including quercetin, 3'-methyleriodictyol, ginsenoside f2, and gypenoside XXVIII were selected as the material basis for the prevention and treatment of obesity in Gynostemma pentaphyllum, and 107 targets for the treatment of obesity, including STAT3, AKT1, VEGFA , SRC, EGFR, MAPK3 and other 38 key targets. The results of molecular docking showed that the top 6 core targets of PPI had good binding activities with the corresponding compounds 3'-methyleriodictyol, Rhamnazin, Ruvoside, Spinasterol, ginsenoside f2, CLR, quercetin, Gypenoside XXVIII, speculate on these components may be the main pharmacodynamic components. GO analysis showed that the prevention and treatment of obesity by Gynostemma pentaphyllum mainly involved biological processes such as cell growth, proliferation and metabolic processes, molecular functions such as enzyme binding, protein binding, cellular components such as nucleus and cytoplasm. KEGG pathway enrichment results showed that pathway involving cancer signaling pathways, proteoglycan pathways in cancer, PI3K-Akt signaling pathways, and HIF-1 signaling pathways. Conclusion: This study initially revealed that Gynostemma pentaphyllum could affect the proliferation and differentiation of adipocytes, glucose and lipid metabolism, and maintain body homeostasis through multiple components, multiple targets, and multiple pathways to achieve obesity prevention and treatment, would provide a basis for further research on the effective ingredients and molecular mechanisms.

Phosphorus starvation response (PHR) protein is an important transcription factor in phosphorus regulatory network, which plays a vital role in regulating the effective utilization of phosphorus. So far, the PHR genes have not been systematically investigated in cotton. In the present study, we have identified 22, 23, 41 and 42 PHR genes in G. arboreum, G. raimondii, G. hirsutum and G. barbadense, respectively. Phylogenetic analysis showed that cotton PHR genes were classified into five distinct subfamilies. The gene structure, protein motifs and gene expression were further investigated. The PHR genes of G. hirsutum from the same subfamily had similar gene structures, all containing Myb_DNA-binding and Myb_CC_LHEQLE conserved domain. The structures of paralogous genes were considerably conserved in exons number and introns length. The cis-element prediction in their promoters showed that genes were not only regulated by light induction, but also were related to auxin, MeJA, abscisic acid-responsive elements, of which might be regulated by miRNA. The expression analysis showed that the GhPHR genes were differentially expressed in different tissues under various stresses. Furthermore, GhPHR6, GhPHR11, GhPHR18 and GhPHR38 were significantly changed under low phosphorus stress. The results of this study provide a basis for further cloning and functional verification of genes related to regulatory network of low phosphorus tolerance in cotton.

Objective: To investigate the characteristics of intestinal flora in overw eight pregnant women and the correlation with gestational diabetes mellitus (GDM). Methods: A total of 122 women were enrolled and divided into four groups according to their pre-pregnancy BMI and the presence of GDM: group 1 (n = 71) with a BMI

Naturally colored cotton fiber is environment-friendly but has monotonous color and poor fiber quality. Identification of green fiber or fuzz genes would aid in investigating the biosynthesis of green pigments in cotton fibers. In this study, we established a mapping population and found that the Lgf trait (white lint and green fuzz) from Gossypium hirsutum race latifolium is controlled by an incompletely dominant gene. The Lgf locus was mapped to a 71-kb interval on chromosome 21 containing seven genes, including a transcription factor with similarity to Arabidopsis MYB9. Harboring 13 SNPs and a 4-bp insertion/deletion in its promoter, GhMYB9 was highly up-regulated in the critical period for green pigment development in fuzz. Virus-induced gene silencing of GhMYB9 in a green-fuzz accession of G. hirsutum race latifolium TX-41 conferred white or light green fuzz. These results suggest that GhMYB9 is an important contributor to green pigments in cotton fiber and shed light on the regulatory mechanism controlling green pigmentation.

Abstract Background The causes of gestational diabetes mellitus (GDM) are still unclear. Recent studies have found that the imbalance of the gut microbiome could lead to disorders of human metabolism and immune system, resulting in GDM. This study aims to reveal the different gut compositions between GDM and normoglycemic pregnant women and find the relationship between gut microbiota and GDM. Methods Fecal microbiota profiles from women with GDM (n = 21) and normoglycemic women (n = 32) were assessed by 16S rRNA gene sequencing. Fasting metabolic hormone concentrations were measured using multiplex ELISA. Results Metabolic hormone levels, microbiome profiles, and inferred functional characteristics differed between women with GDM and healthy women. Additionally, four phyla and seven genera levels have different correlations with plasma glucose and insulin levels. Corynebacteriales (order), Nocardiaceae (family), Desulfovibrionaceae (family), Rhodococcus (genus), and Bacteroidetes (phylum) may be the taxonomic biomarkers of GDM. Microbial gene functions related to amino sugar and nucleotide sugar metabolism were found to be enriched in patients with GDM. Conclusion Our study indicated that dysbiosis of the gut microbiome exists in patients with GDM in the second trimester of pregnancy, and gut microbiota might be a potential diagnostic biomarker for the diagnosis, prevention, and treatment of GDM.

Objective: To investigate the effect of dietary fiber intake during pregnancy on the prevention of gestational diabetes mellitus (GDM) in women who are overweight/obese prior to pregnancy.Methods: This randomized controlled trial was conducted in Shanghai General Hospital from June 2021 to March 2022. A total of 98 women who reported BMI≥24 kg/m2 prior to pregnancy were recruited before their 20th gestational week, and randomly (simple random allocation) assigned to the fiber supplement group (12 g of dietary fiber power twice daily) and the control group (standard prenatal care) from 20 to 24+6 gestational weeks. Both groups received nutrition education and dietary advice during the study. GDM diagnosis was performed by an oral glucose tolerance test (OGTT) at 25–28 weeks’ gestation. Data are presented as means with SD, as medians with IQR, or as counts with percentages as appropriate. Comparisons were conducted using a t-test, Mann-Whitney U test, and χ2 test, respectively.Results: The incidence of GDM was significantly reduced in the fiber supplement group compared with the control group: 8.3 vs. 24.0% (χ2 = 4.40, p = 0.036). At OGTT, the mean fasting plasma glucose in the fiber supplement group was significantly lower than before the intervention (4.57 ± 0.38 mmol/L vs. 4.41 ± 0.29 mmol/L, p < 0.01) but not in the control group (4.48 ± 0.42 mmol/L vs. 4.37 ± 0.58 mmol/L, p = 0.150). Compared with the control group, the TG and TG/HDL-C ratio levels in the intervention group were significantly higher than those in the control group (2.19 ± 0.54 mmol/L vs. 2.70 ± 0.82 mmol/L and 1.19 ± 0.49 vs.1.63 ± 0.63, respectively, all P＜0.05). The body weight gain was significantly lower in the fiber supplement group than the control group (1.99 ± 1.09 kg vs. 2.53 ± 1.20kg, p = 0.022). None of the women randomized to the fiber supplement group experienced preterm birth (11.5 kg for overweight, and >9.0 kg for obesity) occurred in 46.7% of women in the fiber supplement group compared with 68.0% in the control group (p = 0.035). There were no differences in other maternal and neonatal outcomes.Conclusion: Increased dietary fiber intake in pregnant women who were overweight/obese prior to pregnancy may reduce the risk of GDM, excessive weight gain, and preterm birth, but it did not improve blood lipids.

Mumps, a disease caused by the mumps virus (MuV), has been spread widely across the world, especially among children and adolescents. Recent frequent local mumps outbreaks were reported worldwide, which may be caused by the decline in the neutralization ability of the existing attenuated live mumps vaccines against circulating MuV strains which were different from the genotype A or B vaccine strains. There is an urgent need to understand the genotypes of MuV strains currently circulated globally and in China. The gene sequences of MuV strains circulated globally were collected and phylogenetic trees were constructed using different strategies. The results showed that the MuV strains previously circulated globally were predominantly genotype G, while genotype F was predominantly circulated in China, followed by genotype G. The molecular evolution of genotype F MuV strains circulated in China is at a low genetic mutation rate, and the analysis of population dynamics pattern indicates that the incidence of genotype F mumps in China showed a rebound trend. These findings provide a basis for the selection or design of vaccine strains, and the decision of the evaluation strains for immunogenicity and protective efficacy, which laid the foundation for the research and development, as well as the application of next-generation MuV vaccines.

Abstract Background Acute lung injury (ALI) and acute respiratory distress syndrome (ARDS) are syndromes of acute respiratory failure with extremely high mortality and few effective treatments. Mesenchymal stem cells (MSCs) may reportedly contribute to tissue repair in ALI and ARDS. However, applications of MSCs have been restricted due to safety considerations and limitations in terms of large-scale production and industrial delivery. Alternatively, the MSC secretome has been considered promising for use in therapeutic approaches and has been advanced in pre-clinical and clinical trials. Furthermore, the MSC secretome can be freeze-dried into a stable and ready-to-use supernatant lyophilized powder (SLP) form. Currently, there are no studies on the role of MSC SLP in ALI. Methods Intratracheal bleomycin was used to induce ALI in mice, and intratracheal MSC SLP was administered as a treatment. Histopathological assessment was performed by hematoxylin and eosin, immunohistochemistry, and immunofluorescence staining. Apoptosis, inflammatory infiltration, immunological cell counts, cytokine levels, and mRNA- and protein-expression levels of relevant targets were measured by performing terminal deoxynucleotidyl transferase dUTP nick-end labeling assays, determining total cell and protein levels in bronchoalveolar lavage fluids, flow cytometry, multiple cytokine-detection techniques, and reverse transcriptase-quantitative polymerase chain reaction and western blot analysis, respectively. Results We found that intratracheal MSC SLP considerably promoted cell survival, inhibited epithelial cell apoptosis, attenuated inflammatory cell recruitment, and reversed immunological imbalances induced by bleomycin. MSC SLP inhibited the interleukin 6–phosphorylated signal transducer and activator of transcription signaling pathway to activate tumor protein 63–jagged 2 signaling in basal cells, suppress T helper 17 cell differentiation, promote p63+ cell proliferation and lung damage repair, and attenuate inflammatory responses. Conclusions MSC SLP ameliorated ALI by activating p63 and promoting p63+ cell proliferation and the repair of damaged epithelial cells. The findings of this study also shed insight into ALI pathogenesis and imply that MSC SLP shows considerable therapeutic promise for treating ALI and ARDS.

Objective: This study aims to investigate the efficiency of insulin on the reduction of gestational lipid profiles and try to propose a real-world approach to assist clinicians.Methods: A retrospective, single-centered cohort study of 35 cases was conducted from October 2018 to July 2021 in Shanghai General Hospital. SPSS version 25.0 was performed to analyze the whole data. For continuous variables, a paired-sample t test was carried out on each variable to make a comparison between before and after treatment.Results: The average pre-pregnancy TGs and TCs of these patients were about 3.96 ± 1.42 mmol/L and 4.78 ± 1.18 mmol/L, respectively. The maximum of TG before insulin treatment was up to 64.62 and TC 20.43 mmol/L, which decreased to 17.34 and 4.92 mmol/L after intervention of the insulin drip. TG was noticed to fall by 77% and 12.71% of TG, respectively. The difference of TG and TC between pre-treatment and post-treatment were statistically significant (p < 0.01), while this difference has not been found in the other laboratory tests reports. The outcomes of newborns and mothers with management of insulin were proven to be improved.Conclusion: The use of insulin in the management of gestational hypertriglyceridemia is safe and efficient, and insulin may become a mainstream in the near future to mitigate serum TG and TC levels in the pregnancy period besides regulating the blood glucose level.

Currently, density determination method which is based on the density verification of the liquid is the most popular method for volume of weights measurement. A novel set of apparatus combined with automatic measuring devices and weighing instruments for weight the volume measurement is proposed in this paper. The mechanical structure of the device is optimized. For example, the rod structure of the suspension mechanism avoids the eccentric load error caused by the eccentricity of the lower hook and improves the measurement accuracy. The bubble removal device is added to reduce the error caused by the bubble adhering to the surface of the weight when the weight is immersed in the liquid. After weighing, turn on the drying function to quickly remove the residual liquid on the weight surface.

Abstract Cockayne syndrome (CS) is a rare autosomal recessive inherited disorder characterized by a variety of clinical features, including increased sensitivity to sunlight, progressive neurological abnormalities, and the appearance of premature aging. However, the pathogenesis of CS remains unclear due to the limitations of current disease models. Here, we generate integration-free induced pluripotent stem cells (iPSCs) from fibroblasts from a CS patient bearing mutations in CSB/ERCC6 gene and further derive isogenic gene-corrected CS-iPSCs (GC-iPSCs) using the CRISPR/Cas9 system. CS-associated phenotypic defects are recapitulated in CS-iPSC-derived mesenchymal stem cells (MSCs) and neural stem cells (NSCs), both of which display increased susceptibility to DNA damage stress. Premature aging defects in CS-MSCs are rescued by the targeted correction of mutant ERCC6. We next map the transcriptomic landscapes in CS-iPSCs and GC-iPSCs and their somatic stem cell derivatives (MSCs and NSCs) in the absence or presence of ultraviolet (UV) and replicative stresses, revealing that defects in DNA repair account for CS pathologies. Moreover, we generate autologous GC-MSCs free of pathogenic mutation under a cGMP (Current Good Manufacturing Practice)-compliant condition, which hold potential for use as improved biomaterials for future stem cell replacement therapy for CS. Collectively, our models demonstrate novel disease features and molecular mechanisms and lay a foundation for the development of novel therapeutic strategies to treat CS.

The true strain data and true stress data are obtained from the isothermal compression tests under a wide range of strain rates (0.1–20 s−1) and temperatures (933–1,133 K) over the Gleeble-3500 thermomechanical simulator. The data are employed to generate the constitutive equations according to four constitutive models, respectively, the strain-compensated Arrhenius-type model, the modified Zerilli–Armstrong (ZA) model, the modified Johnson–Cook (JC) model and the JC model. In the meanwhile, a comparative research was made over the capacities of these four models and hence to represent the elevated temperature flow behavior of TA2. Besides, a comparison of the accuracy of the predictions of average absolute relative error, correlation coefficient (R) and the deformation behavior was made to test the sustainability level of these four models. It is shown from these results that the JC model is not suitable for the description of flow behavior of TA2 alloy in α+β phase domain, while the predicted values of modified JC model, modified ZA model and the strain-compensated Arrhenius-type model could be consistent well with the experimental values except under some deformation conditions. Moreover, the strain-compensated Arrhenius-type model can be also used to track the deformation behavior more precisely in comparison with other models.

Coxsackievirus A6 (CV-A6) is one of pathogens causing hand, foot and mouth disease (HFMD) and becomes a new challenge to HFMD control. In this study, we first built a single-round pseudovirus infection system for CV-A6, and then developed a pseudovirus luciferase assay (PVLA) for anti-CV-A6 neutralizing antibody (NtAb) quantification. Since cytopahtic effect (CPE) is considered as the gold standard test for anti-enterovirus NtAb detection, a comparison study has been performed using 318 clinical serum samples, as measured both by PVLA and CPE. The sensitivity and specificity of PVLA was 94.9% (95% CI between 90.8–97.5%) and 92.7% (95% CI between 86.6–96.6%), respectively. Statistical analysis revealed that PVLA and CPE were highly correlated (spearman r = 0.931, P

Waterlogging occurs frequently at the stem elongation stage of wheat in southern China, decreasing post-anthesis photosynthetic rates and constraining grain filling. This phenomenon, and the mitigating effect of nutrient application, should be investigated as it could lead to improved agronomic guidelines. We exposed pot-cultured wheat plants at the stem elongation stage to waterlogging treatment in combination with two rates of potassium (K) application. Waterlogging treatment resulted in grain yield losses, which we attributed to a reduction in the 1,000-grain weight caused by an early decline in the net photosynthetic rate (Pn) post-anthesis. These decreases were offset by increasing K application. Stomatal conductance (Gs) and the intercellular CO2 concentration (Ci) decreased in the period 7–21 days after anthesis (DAA), and these reductions were exacerbated by waterlogging. However, in the period 21–28 DAA, Gs and Ci increased, while Pn decreased continuously, suggesting that non-stomatal factors constrained photosynthesis. On DAA 21, Pn was reduced by waterlogging, but photochemical efficiency (ΦPSII) remained unchanged, indicating a reduction in the dissipation of energy captured by photosystem II (PSII) through the CO2 assimilation pathway. This reduction in energy dissipation increased the risk of photodamage, as shown by early reductions in ΦPSII in waterlogged plants on DAA 28. However, increased K application promoted root growth and nutrient status under waterlogging, thereby improving photosynthesis post-anthesis. In conclusion, the decrease in Pn caused by waterlogging was attributable to stomatal closure during early senescence; during later senescence, a reduction in CO2 assimilation accounted for the reduced Pn and elevated the risk of photodamage. However, K application mitigated waterlogging-accelerated photosynthetic reductions and reduced yield losses.

Interactions between organic matter (OM) and metals in soils are important natural mechanisms that can mitigate metal bioaccumulation in terrestrial environments. A primary source of OM in soils is straw return, accounting for more than 65% of OM input. Straw-OM has long been believed to reduce metal bioaccumulation, e.g., by immobilizing metals in soils. However, there is growing evidence that straw return could possibly enhance bioavailability and thus risks (i.e., food safety) of some metals in crops, including Cd, Hg, and As. Poor understanding of straw return-induced increases in metal bioavailability would add uncertainty in assessing or mitigating risks of metals in contaminated farming soils. Here, 863 pieces of literature (2000–2019) that reported the effects of straw return on metal bioavailability and bioaccumulation were reviewed. Mechanisms responsible for the increased metal mobility and bioavailability under straw return are summarized, including the effects of dissolution, complexation, and methylation. Effects of straw return on the physiology and the absorption of metals in plants is also discussed (i.e., physiological effect). These mechanisms are then used to explain the observed increases in the mobility, bioavailability, and bioaccumulation of Cd, Hg, and As under straw amendment. Information summarized in this study highlights the importance to re-consider the current straw return policy, particularly in metal-contaminated farmlands.

Background: This study aimed to evaluate the correlation between long non-coding RNA (lncRNA)-related single nucleotide polymorphisms (SNPs) and susceptibility to silicosis. Methods: First, RNA-sequencing (RNA-seq) data were comprehensively analyzed in the peripheral blood lymphocytes of eight participants (four silicosis cases and four healthy controls) exposed to silica dust to identify differentially expressed lncRNAs (DE-lncRNAs). The functional SNPs in the identified DE-lncRNAs were then identified using several databases. Finally, the association between functional SNPs and susceptibility to silicosis was evaluated by a two-stage case-control study. The SNPs of 155 silicosis cases and 141 healthy silica-exposed controls were screened by genome-wide association study (GWAS), and the candidate SNPs of 194 silicosis cases and 235 healthy silica-exposed controls were validated by genotyping using the improved Mutiligase Detection Reaction (iMLDR) system. Results: A total of 76 DE-lncRNAs were identified by RNA-seq data analysis (cut-offs: fold change > 2 or fold change < 0.5, P < 0.05), while 127 functional SNPs among those 76 DE-lncRNAs were identified through multiple public databases. Furthermore, five SNPs were found to be significantly correlated with the risk of silicosis by GWAS screening (P < 0.05), while the results of GWAS and iMLDR validation indicated that the variant A allele of rs1814521 was associated with a reduced risk of silicosis (OR = 0.76, 95% CI = 0.62–0.94, P = 0.011). Conclusion: The presence of the SNP rs1814521 in the lncRNA ADGRG3 is associated with susceptibility to silicosis. Moreover, ADGRG3 was found to be lowly expressed in silicosis cases. The underlying biological mechanisms by which lncRNA ADGRG3 and rs1814521 regulate the development of silicosis need further study.

Data hiding is the technique of embedding data into video or audio media. With the development of deep neural networks (DNN), the quality of images generated by novel data hiding methods based on DNN is getting better. However, there is still room for the similarity between the original images and the images generated by the DNN models which were trained based on the existing hiding frameworks to improve, and it is hard for the receiver to distinguish whether the container image is from the real sender. We propose a framework by introducing a key_img for using the over-fitting characteristic of DNN and combined with difference image grafting symmetrically, named difference image grafting deep hiding (DIGDH). The key_img can be used to identify whether the container image is from the real sender easily. The experimental results show that without changing the structures of networks, the models trained based on the proposed framework can generate images with higher similarity to original cover and secret images. According to the analysis results of the steganalysis tool named StegExpose, the container images generated by the hiding model trained based on the proposed framework is closer to the random distribution.

Abstract Aging increases the risk of various diseases. The main goal of aging research is to find therapies that attenuate aging and alleviate aging-related diseases. In this study, we screened a natural product library for geroprotective compounds using Werner syndrome (WS) human mesenchymal stem cells (hMSCs), a premature aging model that we recently established. Ten candidate compounds were identified and quercetin was investigated in detail due to its leading effects. Mechanistic studies revealed that quercetin alleviated senescence via the enhancement of cell proliferation and restoration of heterochromatin architecture in WS hMSCs. RNA-sequencing analysis revealed the transcriptional commonalities and differences in the geroprotective effects by quercetin and Vitamin C. Besides WS hMSCs, quercetin also attenuated cellular senescence in Hutchinson-Gilford progeria syndrome (HGPS) and physiological-aging hMSCs. Taken together, our study identifies quercetin as a geroprotective agent against accelerated and natural aging in hMSCs, providing a potential therapeutic intervention for treating age-associated disorders.

This paper summarizes current developments and ongoing research of MgO-C bricks, both at home and abroad, and especially analyzes antioxidant and low-carbon aspects. A future research direction regarding MgO-C bricks was proposed based on the discussion. Specifically, the property improvement of traditional MgO-C bricks through component optimization and structural design, the development of a new antioxidant, improvement of MgO-C bricks in low-carbon methods, and evaluation of corresponding properties, were proposed.

The rapid development of cities in the recent 10 years caused a reduction in the cultivated land area, which only accounts for 14% of the total land area in China. Land development and reclamation have been regarded as an effective way to compensate farmland occupation. However, most of the newly reclaimed land has poor soil fertility and suitability; in some cases, the production capacity is only 10–30% of the occupied farmland. In order to ameliorate the soil quality of the newly reclaimed land, this study evaluated the effects of commercial organic fertilizer (0.75, 1.50, and 2.25 kg/m2), mushroom residue (1.50, 2.25, and 3.00 kg/m2), biogas slurry (150, 225, and 300 kg/m2), vegetable cake (0.30 and 0.60 kg/m2), and chemical compound fertilizer (37.50 g/m2) on the pH, moisture content and organic matter content (OMC), available phosphate, total nitrogen, alkaline hydrolysis nitrogen, microbial biomass carbon and nitrogen, and number of total bacteria and phosphate-solubilizing bacteria, as well as the growth of maize seedlings. The results from this study indicate that the soil quality (OMC is an indicator) was ameliorated by chemical and organic fertilizers, in particular commercial organic fertilizers, which caused a 9.35–16.35% increase in moisture content, a 11.56–18.72% increase in pH, a 1.73–2.15 fold increase in OMC, a 338.44–491.41% increase in available P, a 36.80–48.14% increase in total N, a 95.32–128.34% increase in alkaline hydrolysis N, a 92.57–178.38% increase in total bacterial numbers, and a 7.57–20.87 fold increase in microbial biomass carbon compared with the control. The pot experiment further indicated that soil amended with commercial organic fertilizers caused a 20.35–30.55% increase in the height and a 12.50–16.67% increase in the total dry weight of maize seedlings. In addition, representative strains with the ability to dissolve phosphorus and fix nitrogen were successfully isolated using the culture method, and were then identified based on colony morphological observation and 16S rDNA sequence analysis, which help us to not only understand why organic fertilizer has great effect on soil improvement, but also provides beneficial microbial resources for further study.

Hepatitis E virus still poses a great threat to public health worldwide. To date, Hecolin® is the only licensed HEV vaccine in China. Total anti-HEV antibody has been used to reflect vaccine induced immune response in clinical trials for the lack of robust HEV neutralizing antibody detection methods. In this study, we applied a broad neutralizing mouse monoclonal antibody 8G12 to develop a competitive ELSIA assay and quantified 8G12 competitive antibody (8G12-like antibody) in serum samples. The presence of 8G12-like antibody was detected both from participants from HEV vaccine clinical trial and mice immunized with HEV vaccine. Furthermore, 8G12-like antibody was found to have a similar dynamic pattern as anti-HEV antibody during “prime-boost” vaccination, and the proportion of 8G12-like antibody in anti-HEV antibody increased along boost vaccination. Together with previously reported finding that 8G12 could block the most binding of HEV vaccine induced serum antibody to vaccine antigen, we proposed that 8G12-like antibody might be a promising surrogate for vaccine induced HEV neutralizing antibody and had potential to be used as a convenient indicator for HEV vaccine potency evaluation.

Mrakia psychrophila is an obligate psychrophilic fungus. The cold adaptation mechanism of psychrophilic fungi remains unknown. Comparative genomics analysis indicated that M. psychrophila had a specific codon usage preference, especially for codons of Gly and Arg and its major facilitator superfamily (MFS) transporter gene family was expanded. Transcriptomic analysis revealed that genes involved in ribosome and energy metabolism were upregulated at 4°, while genes involved in unfolded protein binding, protein processing in the endoplasmic reticulum, proteasome, spliceosome, and mRNA surveillance were upregulated at 20°. In addition, genes related to unfolded protein binding were alternatively spliced. Consistent with other psychrophiles, desaturase and glycerol 3-phosphate dehydrogenase, which are involved in biosynthesis of unsaturated fatty acid and glycerol respectively, were upregulated at 4°. Cold adaptation of M. psychrophila is mediated by synthesizing unsaturated fatty acids to maintain membrane fluidity and accumulating glycerol as a cryoprotectant. The proteomic analysis indicated that the correlations between the dynamic patterns between transcript level changes and protein level changes for some pathways were positive at 4°, but negative at 20°. The death of M. psychrophila above 20° might be caused by an unfolded protein response.

In science education, chemistry is a discipline that involves macroscopic matter and microscopic particles. It is difficult for the traditional teaching approach to help learners comprehend abstract chemical knowledge. Researchers have attempted to use Virtual Reality (VR) to help learners realize meaningful knowledge via visualizing the learning content. However, merely engaging students in experiencing the scientific contexts is not enough. To fill this gap, the present study adopted Spherical Video-based Virtual Reality (SVVR) to create authentic learning contexts for learners, and proposed an exploration-based SVVR approach which aimed to promote students' understanding of abstract concepts and improve their competence of completing chemistry experiments. A quasi-experimental design was employed to evaluate the effectiveness of the proposed approach. A total of 136 junior high school students from three classes were recruited for the experiment. The experimental group adopted the exploration-based SVVR approach, control group I adopted the conventional SVVR approach, and control group II adopted traditional instruction. The results showed that the exploration-based SVVR approach not only improved students' learning achievement, but also increased their learning motivation, learning attitude, and creative thinking tendency. Besides, students adopting this approach had more positive behaviors, including finding problems, making assumptions, investigating and verifying, and discussion.

The level set method can segment symmetrical or asymmetrical objects in real images according to image features. However, the segmentation performance varies with feature scale. In order to improve the segmentation effect, we propose an improved level set method on the multiscale edges, which combines the level set method with image multi-scale decomposition to form a unified model. In this model, the segmentation relies on multiscale edges, and the multiscale edges depend on multiscale decomposition. A novel total variation regularization is proposed in multiscale decomposition to preserve edges. The multiscale edges obtained by the multiscale decomposition are integrated into the segmentation process, and the object can be easily extracted from a proper scale. Experimental results indicate that this method has superior performance in precision, recall and F-measure, compared with relative edge-based segmentation methods, and is insensitive to noise and inhomogeneous sub-regions.