A fluorescence probe with targeted mitochondria for detecting hydrogen peroxide in vitro and in diabetic mice.

We designed and prepared probe W-1 for the detection of H2O2. W-1 showed excellent selectivity for H2O2 and was accompanied by colorimetric signal changes. The excellent linear relationship between fluorescence intensity and H2O2 concentration (0-100 µM) provided favorable conditions for its quantitative detection. In addition, the combination of portable test strips with a smartphone platform provided great convenience for on-site visual detection of H2O2. Moreover, W-1 possessed targeting mitochondria property and could be applied to image the exogenous and endogenous H2O2 in cells to distinguish normal cells and cancer cells. Lastly, W-1 was used for monitoring the H2O2 fluctuation of the diabetic process in mice, and the results showed an increase in H2O2 levels in diabetes. Therefore, the probe provided a tool for understanding the pathological and physiological mechanisms of diabetes by imaging H2O2.

The highly selective and sensitive fluorescence probe for detection of copper (II) ions and its bioimaging in vitro and vivo.

We designed and developed the probe W-3 for detection of Cu2+. The results showed probe can selectively detect Cu2+, accompanied by noticeable color change. The probe can detect the Cu2+ in water samples and drinks based on absorption detection. In addition, the combination of portable test paper and the smartphone platform obtained great convenience for on-site and visual detection of Cu2+, with satisfactory sensitivity and reliability. More importantly, the fluorescence probe W-3 can be used for the detection of Cu2+ in cells and mice. Therefore, the W-3 provided potential chemical tools for detecting Cu2+ in vitro and vivo.

Multifunctional fluorescence probe for simultaneous detection of viscosity, polarity, and ONOO- and its bioimaging in vitro and vivo.

Intracellular microenvironment (viscosity and polarity) and peroxynitrite ions (ONOO-) are involved in maintaining cell morphology, cell function, and signaling so that it is crucial to explore their level changes in vitro and vivo. In this work, we designed and synthesized a mitochondria-targeted fluorescence probe XBL for monitoring the dynamic changes of viscosity, polarity, and ONOO- based on TICT and ICT mechanism. The fluorescence spectra showed obvious changes for polarity at 500 nm as well as ONOO- and viscosity at 660 nm, respectively. The XBL can image simultaneously viscosity, polarity, and ONOO- in cells, and the results showed excess ONOO- leaded to the increase of viscosity in mitochondrial. The ferroptosis process was accompanied by increase of intracellular viscosity and ONOO- levels (or decrease of polarity), which allowed us to better understand the relevant physiological and pathological processes. The XBL can distinguish normal cells and cancerous cells by the fluorescence intensity changes in green and red channels, and image viscosity in inflamed mice. Thus, XBL can provided the chemical tool to understand the physiological and pathological mechanisms of disease by simultaneous detection of viscosity, polarity and ONOO-.

Graphene quantum dot-mediated anchoring of highly dispersed bismuth nanoparticles on porous graphene for enhanced electrocatalytic CO2 reduction to formate.

The electrocatalytic reduction of CO2 to produce formic acid is gaining prominence as a critical technology in the pursuit of carbon neutrality. Nonetheless, it remains challenging to attain both substantial formic acid production and high stability across a wide voltage range, particularly when utilizing bismuth-based catalysts. Herein, we present a novel graphene quantum dot-mediated synthetic strategy to achieve the uniform deposition of highly dispersed bismuth nanoparticles on porous graphene. This innovative design achieves an elevated faradaic efficiency for formate of 87.0% at -1.11 V vs. RHE with high current density and long-term stability. When employing a flow cell, a maximum FEformate of 80.0% was attained with a total current density of 156.5 mA cm-2. The exceptional catalytic properties can be primarily attributed to the use of porous graphene as the support and the auxiliary contribution of graphene quantum dots, which enhance the dispersion of bismuth nanoparticles. This improved dispersion, in turn, has a significantly positive impact on CO2 activation and the generation of *HCOO intermediates to facilitate the formation of formate. This work presents a straightforward technique to create uniform metal nanoparticles on carbon materials for advancing various electrolytic applications.

Exosomes Highlight Future Directions in the Treatment of Acute Kidney Injury.

Acute kidney injury (AKI) is a severe health problem associated with high morbidity and mortality rates. It currently lacks specific therapeutic strategies. This review focuses on the mechanisms underlying the actions of exosomes derived from different cell sources, including red blood cells, macrophages, monocytes, mesenchymal stem cells, and renal tubular cells, in AKI. We also investigate the effects of various exosome contents (such as miRNA, lncRNA, circRNA, mRNA, and proteins) in promoting renal tubular cell regeneration and angiogenesis, regulating autophagy, suppressing inflammatory responses and oxidative stress, and preventing fibrosis to facilitate AKI repair. Moreover, we highlight the interactions between macrophages and renal tubular cells through exosomes, which contribute to the progression of AKI. Additionally, exosomes and their contents show promise as potential biomarkers for diagnosing AKI. The engineering of exosomes has improved their clinical potential by enhancing isolation and enrichment, target delivery to injured renal tissues, and incorporating small molecular modifications for clinical use. However, further research is needed to better understand the specific mechanisms underlying exosome actions, their delivery pathways to renal tubular cells, and the application of multi-omics research in studying AKI.

Development and Validation of Nutrition Literacy Assessment Instrument for Chinese Lactating Women: A Preliminary Study.

This study focused on the development and validation of a nutrition literacy assessment instrument for Chinese lactating women (NLAI-L). A comprehensive literature review and group discussion by experts in relevant fields were adopted to determine the dimension, topics and questions of NLAI-L. Content validity was evaluated by a panel of experts. The exploratory factor analyses (EFA) and confirmatory factor analyses (CFA) were used to evaluate the construct validity. Cronbach's α and split-half reliability were applied to examine the reliability of NLAI-L. The final NLAI-L consisted of 38 questions covering three dimensions: knowledge, behavior and skill. The EFA revealed four sub-domains for knowledge, one sub-domain for behavior and four sub-domains for skill. The results showed that NLAI-L had satisfactory content validity (CVI = 0.98, CVR = 0.96), good reliability (Cronbach's α coefficient = 0.84) and acceptable construct validity (χ2/df = 2.28, GFI = 2.81, AGFI = 0.79, RMSEA = 0.057). In the application part, the average NL score was 46.0 ± 9.3. In multivariate linear regression, education level, age, postnatal period and occupation were the potential influencing factors of NL for Chinese lactating women. The study established an effective and reliable assessment instrument for Chinese lactating women (NLAI-L) through qualitative and quantitative methods. The establishment of NLAI-L will provide an effective tool for exploring the role of NL in health or disease and provide a basis for the formulation of targeted nutrition interventions.

Metabolomics analysis reveals serum biomarkers in patients with diabetic sarcopenia.

Introduction: Diabetic sarcopenia (DS) is characterized by muscle atrophy, slower nerve conduction, reduced maximum tension generated by skeletal muscle contraction, and slower contraction rate. Hence, DS can cause limb movement degeneration, slow movement, reduced balance, reduced metabolic rate, falls, fractures, etc. Moreover, the relevant early biological metabolites and their pathophysiological mechanism have yet to be characterized. Method: The current cross-sectional study employed serum metabolomics analysis to screen potential noninvasive biomarkers in patients with diabetic sarcopenia. A total of 280 diabetic patients were enrolled in the study (n = 39 sarcopenia [DS], n = 241 without sarcopenia [DM]). Ten patients were randomly selected from both groups. Non-targeted metabolomic analysis was performed by ultra-high-performance liquid chromatography-electrospray ionization tandem mass spectrometry. Results: A total of 632 differential metabolites were identified, including 82 that were significantly differentially abundant (P < 0.05, VIP > 1, FC > 1.2 or FC < 0.8). Compared with the DM group, the contents of pentadecanoic acid, 5'-methylthioadenosine (5'-MTA), N,N-dimethylarginine (asymmetric dimethylarginine, ADMA), and glutamine in the DS group were significantly increased, while that of isoxanthohumol was decreased. Discussion: Based on receiver operating characteristic curve analysis, pentadecanoic acid, 5'-MTA, ADMA, and glutamine may serve as potential biomarkers of DS. Moreover, ATP-binding cassette (ABC) transporters and the mammalian target of the rapamycin signaling pathway were found to potentially have important regulatory roles in the occurrence and development of DS (P < 0.05). Collectively, the differential metabolites identified in this study provide new insights into the underlying pathophysiology of DS and serve as a basis for therapeutic interventions.

Composition and function of viruses in sauce-flavor baijiu fermentation.

Viruses are highly abundant in nature, associated with quality and safety of traditional fermented foods. However, the overall viral diversity and function are still poorly understood in food microbiome. Traditional baijiu fermentation is an ideal model system to examine the diversity and function of viruses owing to easy access, stable operation, and domesticated microbial community. Equipped with cutting-edge viral metagenomics, we investigated the viral community in the fermented grain and fermentation environment, as well as their contribution to baijiu fermentation. Viral communities in the fermented grains and fermentation environment are highly similar. The dominant viruses were bacteriophages, mainly including the order Caudovirales and the family Inoviridae. Furtherly, association network analysis showed that viruses and bacteria were significantly negatively correlated (P < 0.01). Viral diversity could significantly influence bacterial and fungal succession (P < 0.05). Moreover, we proved that starter phages could significantly inhibit the growth of Bacillus licheniformis in the logarithmic growth stage (P < 0.05) under culture condition. Based on the functional annotations, viruses and bacteria both showed high distribution of genes related to amino acid and carbohydrate metabolism. In addition, abundant auxiliary carbohydrate-active enzyme (CAZyme) genes were also identified in viruses, indicating that viruses were involved in the decomposition of complex polysaccharides during fermentation. Our results revealed that viruses could crucially affect microbial community and metabolism during traditional fermentation.

Geographically Associated Fungus-Bacterium Interactions Contribute to the Formation of Geography-Dependent Flavor during High-Complexity Spontaneous Fermentation.

Fermented foods often have attractive flavor characteristics to meet various human demands. An ever-challenging target is the production of fermented foods with equal flavor profiles outside the product's origin. However, the formation of geography-dependent flavor in high-complexity fermentations remains poorly understood. Here, taking Chinese liquor (baijiu) fermentation as an example, we collected 403 samples from 9 different locations in China across a latitude range of 27°N to 37°N. We revealed and validated the geography-dependent flavor formation patterns by using culture-independent (metabolomics, metagenomics, and metatranscriptomics) and culture-dependent tools. We found that the baijiu microbiomes along with their metabolites were flavor related and geography dependent. The geographical characteristics were determined mainly by 20 to 40 differentiated chemical markers in metabolites and the latitude-dependent fungal structure of the microbiome. About 48 to 156 core microbiota members out of 735 bacterial genera and 290 fungal genera contributed to the chemical markers. The contributions of both fungi and bacteria were greater than those from either bacteria or fungi alone. Representatively, we revealed that dynamic interdependent interactions between yeasts and Lactobacillus facilitated the metabolism of heterocyclic flavor chemicals such as 2-acetylpyrrole, 2,3,5-trimethylpyrazine, and 2-acetylfuran. Moreover, we found that the intraspecific genomic diversity and microbial structure were two biotic factors that contributed to dynamic microbiome assembly. Based on the assembly pattern, adjusting the composition and distribution of initial species was one option to regulate the formation of diverse flavor characteristics. Our study provided a rationale for developing a microbiome design to achieve a defined flavor goal. IMPORTANCE People consume many spontaneously fermented foods and beverages with different flavors on a daily basis. One crucial and hotly discussed question is how to reproduce fermented food flavor without geographical limitations to meet diverse human demands. The constantly enriched knowledge of the microbial contribution to fermented flavor offers valuable insights into flavor biotechnological development. However, we still have a poor understanding of what factors limit the reproduction of fermented flavor outside the product's origin in high-complexity spontaneous fermentations. Here, taking baijiu fermentation as an example, we revealed that geography-dependent flavor was contributed mainly by fungus-bacterium cooperative metabolism. The distinct initial microbial composition, distribution, and intraspecific genomic diversity limited reproducible microbial interactions and metabolism in different geographical areas. The abundant microbial resources and predicted fungus-bacterium interactions found in baijiu fermentation enable us to design a synthetic microbial community to reproduce desired flavor profiles in the future.

THUMPD3-AS1 Is Correlated with Gastric Cancer and Regulates Cell Function through miR-1252-3p and CXCL17.

The problem facing gastric cancer treatment is the uncontrollable prognosis. Long noncoding RNAs (lncRNAs) are the current hotspot for gastric cancer prognostic markers. This study was targeted at determining THUMPD3-AS1 expression in gastric cancer, and then exploring whether THUMPD3-AS1 is associated with prognosis and its role in cancerous cell function. THUMPD3-AS1 expression levels were quantified in human tissues and cell lines. The prognostic biomarker potential of THUMPD3-AS1 was evaluated by Kaplan-Meier and multivariate Cox regression analyses. The biological impact of THUMPD3-AS1 in gastric cancer cells was investigated by WST-1, Tran-swell, and reactive oxygen species (ROS) accumulation assay. The binding between THUMPD3-AS1, miR-1252-3p and CXCL17 was verified by luciferase reporter assay and RNA pulled down assay. THUMPD3-AS1 was significantly decreased in gastric cancer tissues and cells by comparing them with normal ones. THUMPD3-AS1 was related to the advanced TNM stage, lymphatic infiltration, and vascular infiltration. Downregulated THUMPD3-AS1 was associated with reduced 5-year overall survival. Overexpression of THUMPD3-AS1 inhibits proliferation, migration, invasion and ROS accumulation of gastric cancer cells by regulation of miR-1252-3p and CXCL17. THUMPD3-AS1 could be a potent prognostic symbol for patients with gastric cancer. THUMPD3-AS1 provides a therapeutic potential for gastric cancer.

Fungal Interactions Strengthen the Diversity-Functioning Relationship of Solid-State Fermentation Systems.

Traditional fermentation processes are driven by complex fungal microbiomes. However, the exact means by which fungal diversity affects fermentation remains unclear. In this study, we systematically investigated the diversity of a fungal community and its functions during the multibatch Baijiu fermentation process. Metabolomics analysis showed that the metabolic profiles of the Baijiu were enhanced with an increase in the fermentation time, as determined from the characteristic volatile flavors. High-throughput sequencing technology revealed that the major fungal species involved in sauce-flavor Baijiu fermentation are Pichia sp. (41.75%, average relative abundance), Saccharomyces sp. (13.07%), thermophilic species (9.16%), Monascus sp. (6.80%), Aspergillus sp. (4.69%), Schizosaccharomyces sp. (3.76%), Thermomyces sp. (3.74%), and Zygosaccharomyces sp. (1.41%). In addition, the fungal diversity increased as the number of fermentation batches increased. Moreover, the increased fungal diversity contributed to the modularity of the fungal communities, wherein Pichia sp., Torulaspora sp., and Saccharomyces sp. maintained the stability of the fungal community. In addition, metatranscriptomics sequencing technologies were used to reconstruct the key metabolic pathways during fermentation, and it was found that the increased microbial diversity significantly promoted glucose-mediated carbon metabolism. Finally, functional gene analysis showed that functional microorganisms, such as Zygosaccharomyces and Pichia, can enhance fermentation as a result of the high expression of pyruvate decarboxylase and propanol-preferring alcohol dehydrogenase during the metabolism of pyruvate. These results indicate that fungal biodiversity can be exploited to enhance fermentation-based processes via network interactions and metabolism during multiple-batch fermentation. IMPORTANCE Biodiversity and network interactions act simultaneously on the microbial community structure in the Baijiu fermentation process, thereby rendering the microbiome dynamics challenging to manage and predict. Understanding the complex fermentation community and its relationship to community functions is therefore important in the context of developing improved fermentation biotechnology systems. Our work demonstrates that multiple-batch fermentation steps increase microbial diversity and promote community stability. Crucially, the enhanced modularity in the microbial network increases the metabolism of flavor compounds and ethanol. This study highlights the power of biodiversity and network interactions in regulating the function of the microbiome in food fermentation ecosystems.

Protective Effect of MFG-E8 on Necroptosis-Induced Intestinal Inflammation and Enteroendocrine Cell Function in Diabetes.

Low-grade inflammation is one of the characteristics of metabolic disorders induced by diabetes mellitus. The present study explores the underlying mechanism of milk fat globule epidermal growth factor 8 (MFG-E8) on necroptosis-induced intestinal inflammation and intestinal epithelial endocrine cell dysfunction in diabetes. Compared with the normal control group, pathological changes such as blunt and shortened villus and denuded villus tips were observed in ileum tissue of streptozotocin (STZ) induced senescence-resistant 1 (SAMR1) and senescence-accelerated prone 8 (SAMP8) diabetic mice under light microscope. Western blotting and immunohistochemistry (IHC) displayed significantly decreased protein expression of MFG-E8 in SAMR1 and SAMP8 diabetic mice, accompanied by an increased expression of phosphorylated mixed lineage kinase domain-like (p-MLKL) and HMGB1. In addition, advanced glycation end products (AGEs) significantly increased the pro-inflammatory mediators (TNF-α, IL-1ß, IL-6) and HMGB1 by activating the receptor-interacting protein kinase 3 (RIPK3)/MLKL signaling pathway in enteroendocrine STC-1 cells. D-pinitol pretreatment markedly attenuated the release of pro-inflammatory mediators and increased the expression of MFG-E8. MFG-E8 small interfering RNA (siRNA) promoted, while MFG-E8 overexpression inhibited, the activation of receptor-interacting proteins (RIPs) pathway and pro-inflammatory factors. Our study demonstrated that downregulation of MFG-E8 is an important phenomenon in the pathogenesis of diabetes-related intestinal inflammatory damage. MFG-E8 overexpression and D-pinitol intervention could protect against necroptosis-induced intestinal inflammation and maintain the function of enteroendocrine STC-1 cells in diabetes.

Mnemonic scaffolds vary in effectiveness for serial recall.

Memory champions remember vast amounts of information in order and at first encounter by associating each study item to an anchor within a scaffold - a pre-learned, structured memory. The scaffold provides direct-access retrieval cues. Dominated by the familiar-route scaffold (Method of Loci), researchers have little insight into what characteristics of scaffolds make them effective, nor whether individual differences might play a role. We compared participant-generated mnemonic scaffolds: (a) familiar routes (Loci), (b) autobiographical stories (Story), (c) parts of the human body (Body), and (d) routine activities (Routine Activity). Loci, Body, and Story Scaffolds benefited serial recall over Control (no scaffold). The Body and Loci Scaffold were equally superior to the other scaffolds. Measures of visual imagery aptitude and vividness and body responsiveness did not predict accuracy. A second experiment tested whether embodiment could be responsible for the high level of effectiveness of the Body Scaffold; this was not supported. In short, mnemonic scaffolds are not equally effective and embodied cognition may not directly contribute to memory success. The Body Scaffold may be a strong alternative to the Method of Loci and may enhance learning for most learners, including those who do not find the Method of Loci useful.

Switching on photocatalytic NO oxidation and proton reduction of NH2-MIL-125(Ti) by convenient linker defect engineering.

Photocatalysis technology has been widely adopted to abate typical air pollutants. Nevertheless, developing photocatalysts aimed at improving photocatalytic efficiency is a challenge. Herein, the linker-defect NH2-MIL-125(Ti) photocatalyst was synthesized through a convenient one-step heating-stirring method (just adjusting multiple temperatures) to firstly realize efficient photocatalytic performances of NO removal and hydrogen evolution. The optimal sample (named 65-NMIL) with a linker-defect content of 32.08% exhibited a NO removal ratio of 65.49%, which was 37.57% higher than that of pristine NH2-MIL-125(Ti), and displayed better H2-production activity. Through ESR, it was confirmed that 65-NMIL can generate more •O2- and •OH under visible light, and the radical trapping experiment further proved that •O2- played a more important role in photocatalytic activity. Moreover, the photocatalytic NO oxidation process was also monitored by in situ DRIFTS, it was found that the defective samples could promote the oxidation of NO and intermediates to the final product (NO3-). On the basis of the above-mentioned photocatalytic experimental results and characterization, a possible mechanism or pathway was proposed and illustrated. This work can provide a new strategy for the subsequent defect engineering for photocatalytic MOFs materials to further solve environmental and energy crises.

Serum and Amniotic Fluid Metabolic Profile Changes in Response to Gestational Diabetes Mellitus and the Association with Maternal-Fetal Outcomes.

This study was designed to identify serum and amniotic fluid (AF) metabolic profile changes in response to gestational diabetes mellitus (GDM) and explore the association with maternal-fetal outcomes. We established the GDM rat models by combining a high-fat diet (HFD) with an injection of low-dose streptozotocin (STZ), detected the fasting plasma glucose (FPG) of pregnant rats in the second and third trimester, and collected AF and fetal rats by cesarean section on gestational day 19 (GD19), as well as measuring the weight and crown-rump length (CRL) of fetal rats. We applied liquid chromatography-tandem mass spectrometry (LC-MS/MS) for the untargeted metabolomics analyses of serum and AF samples and then explored their correlation with maternal-fetal outcomes via the co-occurrence network. The results showed that 91 and 68 metabolites were upregulated and 125 and 78 metabolites were downregulated in serum and AF samples exposed to GDM, respectively. In maternal serum, the obvious alterations emerged in lipids and lipid-like molecules, while there were great changes in carbohydrate and carbohydrate conjugates, followed by amino acids, peptides, and analogs in amniotic fluid. The altered pathways both in serum and AF samples were amino acid, lipid, nucleotide, and vitamin metabolism pathways. In response to GDM, changes in the steroid hormone metabolic pathway occurred in serum, and an altered carbohydrate metabolism pathway was found in AF samples. Among differential metabolites in two kinds of samples, there were 34 common biochemicals shared by serum and AF samples, and a mutual significant association existed. These shared differential metabolites were implicated in several metabolism pathways, including choline, tryptophan, histidine, and nicotinate and nicotinamide metabolism, and among them, N1-methyl-4-pyridone-3-carboxamide, 5'-methylthioadenosine, and kynurenic acid were significantly associated with both maternal FPG and fetal growth. In conclusion, serum and AF metabolic profiles were remarkably altered in response to GDM. N1-Methyl-4-pyridone-3-carboxamide, 5'-methylthioadenosine, and kynurenic acid have the potential to be taken as biomarkers for maternal-fetal health status of GDM. The common and inter-related differential metabolites both in the serum and AF implied the feasibility of predicting fetal health outcomes via detecting the metabolites in maternal serum exposed to GDM.

Microbial Community Succession and Its Environment Driving Factors During Initial Fermentation of Maotai-Flavor Baijiu.

The microbial composition and environmental factors can take a great influence on community succession during the solid-state fermentation (SSF) of Maotai-flavor Baijiu. In this paper, high-throughput sequencing was used to reveal the dominant microorganisms and the evolution process of microbial community structure in the initial fermentation of Maotai-flavor Baijiu. The correlation analysis was carried out for the relationship between physicochemical factors and fermented microbes. The results showed that microorganisms were obviously enriched and the diversity of bacteria and fungi showed a downward trend during the heap fermentation process of Maotai-flavor Baijiu. However, the diversity of fungi in the pit fermentation process increased. Generally, Lactobacillus, Pichia, and Saccharomyces were the dominant microorganisms in the initial fermentation of Maotai-flavor Baijiu. According to the redundancy analysis, we found that reducing sugar was the key driving factor for microbial succession in the heap fermentation, while acidity, alcohol, and temperature were the main driving forces in pit fermentation. This study revealed the microbial succession and its related environmental factors in the initial fermentation of Maotai-flavor Baijiu, which will enrich our knowledge of the mechanism of solid-state liquor fermentation.

Goat Milk Improves Glucose Homeostasis via Enhancement of Hepatic and Skeletal Muscle AMP-Activated Protein Kinase Activation and Modulation of Gut Microbiota in Streptozocin-Induced Diabetic Rats.

SCOPE: Previously, the metabolic benefits of goat milk consumption in high-fat diet-fed rats are demonstrated. However, the effects are only reported in one animal model and the involvement of gut microbiota is not investigated. The aim of this study is to investigate the effects of goat milk consumption on glucose homeostasis and gut microbiota in streptozocin (STZ)-induced diabetic rats. METHODS AND RESULTS: STZ-induced diabetic rats are fed with three dosages of goat milk: 2.5, 5, and 10 g kg-1 . Parameters related to glucose homeostasis, hepatic and skeletal muscle AMP-activated protein kinase (AMPK) activation, and gut microbiota are investigated. The dose of 10 g kg-1 exerts more metabolic benefits. Goat milk consumption improves fasting glucose levels, glucose tolerance, insulin sensitivity, and promotes hepatic and skeletal muscle AMPK activation in STZ-injected diabetic rats. Goat milk modulates gut microbiota, increases the relative abundance of Lactobacillus, and augments levels of propionic and butyric acids. CONCLUSION: This study demonstrates the metabolic benefits of goat milk consumption in STZ-induced diabetic rats, which is consistent with the previous observations in high-fat diet-induced diabetic rats. Furthermore, this study elucidates the modulation of gut microbiota by goat milk, which likely mediates the metabolic effects of goat milk.

Neodymium oxide (Nd2O3) coupled tubular g-C3N4, an efficient dual-function catalyst for photocatalytic hydrogen production and NO removal.

Graphitic carbon nitride (g-C3N4) has emerged as a most promising photocatalyst, non-toxicity and low density, but it is plagued by low activity due to the small specific surface area and poor quantum efficiency. Morphological engineering and coupling with other materials to form hybrids have proven to be effective strategies for enabling high photocatalytic performances. Here, neodymium oxide (Nd2O3) coupled tubular g-C3N4 composites had been facilely synthesized by a solvent evaporation and high-temperature calcination method to realize efficient photocatalytic activity of hydrogen production and NO removal. A series of characterizations, such as XRD, ESR, in-situ DRIFTS, etc., were used to analyze the physical and chemical properties of the bifunctional photocatalyst, which demonstrated that the composite material had more active sites and a faster electron transfer rate. The optimal sample (1 wt% Nd2O3/CN-T) had a H2 generation rate of 4355.34 µmol·g-1·h-1, which was 9.46 times than that of original g-C3N4 obtained through heating melamine (CN-M). In addition, the NO removal rate was also 32.32% higher than that of original CN-M. On the basis of the above photocatalytic experimental results and characterizations, a possible mechanism or pathway was proposed and illustrated. This work could provide a feasible strategy to fabricate tubular g-C3N4-based composites with rare earth metal oxides (dual-factor regulation) to simultaneously enhance photocatalytic hydrogen production and NO removal efficiently (double application).

Three-Dimensional Culture Decreases the Angiogenic Ability of Mouse Macrophages.

Macrophages play important roles in angiogenesis; however, previous studies on macrophage angiogenesis have focused on traditional 2D cultures. In this study, we established a 3D culture system for macrophages using collagen microcarriers and assessed the effect of 3D culture on their angiogenic capabilities. Macrophages grown in 3D culture displayed a significantly different morphology and arrangement under electron microscopy compared to those grown in 2D culture. Tube formation assays and chick embryo chorioallantoic membrane assays further revealed that 3D-cultured macrophages were less angiogenic than those in 2D culture. Whole-transcriptome sequencing showed that nearly 40% of genes were significantly differently expressed, including nine important angiogenic factors of which seven had been downregulated. In addition, the expression of almost all genes related to two important angiogenic pathways was decreased in 3D-cultured macrophages, including the two key angiogenic factors, VEGFA and ANG2. Together, the findings of our study improve our understanding of angiogenesis and 3D macrophage culture in tissues, and provide new avenues and methods for future research on macrophages.

Influence of Body Mass Index on Perioperative Outcomes Following Pancreaticoduodenectomy.

Background: Overweight and obesity are increasing year by year all over the world, and there is a correlation between overweight and obesity and the risk of pancreatic cancer. However, the relationship between overweight and obesity and perioperative outcomes of pancreaticoduodenectomy (PD) was controversial. The purpose of this study was to investigate the effect of body mass index (BMI) on the perioperative outcome of PD. Methods: This study retrospectively evaluated 227 patients who underwent PD from 2015 to 2019. The patients were divided into three groups: underweight group (BMI <18.5 kg/m2), normal weight group (18.5 ≤ BMI <25 kg kg/m2), and overweight group (BMII ≥25 kg/m2). The association between different BMI groups and different perioperative results was discussed. Finally, the independent risk factors of clinically relevant-postoperative pancreatic fistula (CR-POPF) were analyzed by multivariate logistic regression. Results: The level of preoperative albumin was higher in patients of overweight group (P = .03). The incidence of hypertension increased gradually in the three BMI groups (P = . 039). The preoperative median CA19-9 level was significantly higher in the underweight group than that in the control groups (P = .001). The median operation time in the high BMI group was significantly longer than that in the other two groups. High BMI was an independent risk factor influencing CR-POPF after PD (P = .022, odds ratio 2.253, 95% confidence interval 1.123-4.518). Conclusions: Operation time of PD was increased in patients with high BMI. High BMI was an independent risk factor for the incidence of CR-POPF after PD. However, PD surgery is safe and feasible for patients with different BMI, and overweight and obese patients should not refuse PD surgery because of their BMI.