Codonopsis pilosula-derived glycopeptide dCP1 promotes the polarization of tumor-associated macrophage from M2-like to M1 phenotype.

The majority of the immune cell population in the tumor microenvironment (TME) consists of tumor-associated macrophages (TAM), which are the main players in coordinating tumor-associated inflammation. TAM has a high plasticity and is divided into two main phenotypes, pro-inflammatory M1 type and anti-inflammatory M2 type, with tumor-suppressive and tumor-promoting functions, respectively. Considering the beneficial effects of M1 macrophages for anti-tumor and the high plasticity of macrophages, the conversion of M2 TAM to M1 TAM is feasible and positive for tumor treatment. This study sought to evaluate whether the glycopeptide derived from simulated digested Codonopsis pilosula extracts could regulate the polarization of M2-like TAM toward the M1 phenotype and the potential regulatory mechanisms. The results showed that after glycopeptide dCP1 treatment, the mRNA relative expression levels of some M2 phenotype marker genes in M2-like TAM in simulated TME were reduced, and the relative expression levels of M1 phenotype marker genes and inflammatory factor genes were increased. Analysis of RNA-Seq of M2-like TAM after glycopeptide dCP1 intervention showed that the gene sets such as glycolysis, which is associated with macrophage polarization in the M1 phenotype, were significantly up-regulated, whereas those of gene sets such as IL-6-JAK-STAT3 pathway, which is associated with polarization in the M2 phenotype, were significantly down-regulated. Moreover, PCA analysis and Pearson's correlation also indicated that M2-like TAM polarized toward the M1 phenotype at the transcriptional level after treatment with the glycopeptide dCP1. Lipid metabolomics was used to further explore the efficacy of the glycopeptide dCP1 in regulating the polarization of M2-like TAM to the M1 phenotype. It was found that the lipid metabolite profiles in dCP1-treated M2-like TAM showed M1 phenotype macrophage lipid metabolism profiles compared with blank M2-like TAM. Analysis of the key differential lipid metabolites revealed that the interconversion between phosphatidylcholine (PC) and diacylglycerol (DG) metabolites may be the central reaction of the glycopeptide dCP1 in regulating the conversion of M2-like TAM to the M1 phenotype. The above results suggest that the glycopeptide dCP1 has the efficacy to regulate the polarization of M2-like TAM to M1 phenotype in simulated TME.

Design, methodology, and preliminary results of the non-human primates eye study.

PURPOSE: To describe the normative profile of ophthalmic parameters in a healthy cynomolgus monkey colony, and to identify the characteristic of the spontaneous ocular disease non-human primates (NHP) models. METHODS: The NHP eye study was a cross-sectional on-site ocular examination with about 1,000 macaques held in Guangdong Province, southeastern China. The NHPs (Macaca fascicularis, cynomolgus) in this study included middle-aged individuals with a high prevalence of the ocular disease. The NHP eye study (NHPES) performed the information including systematic data and ocular data. Ocular examination included measurement of intraocular pressure (IOP), anterior segment- optical coherence tomography (OCT), slit-lamp examination, fundus photography, autorefraction, electroretinography, etc. Ocular diseases included measurement of refractive error, anisometropia, cataract, pterygium, etc. RESULTS: A total of 1148 subjects were included and completed the ocular examination. The average age was 16.4 ± 4.93 years. Compared to the male participants, the females in the NHPES had shorter axial length and the mean Average retinal nerve fiber layer (RNFL) thickness (except for the nasal quadrants). The mean IOP, anterior chamber depth, lens thickness, axial length, central corneal thickness, choroid thickness and other parameters were similar in each group. CONCLUSION: The NHPES is a unique and high-quality study, this is the first large macaque monkey cohort study focusing on ocular assessment along with comprehensive evaluation. Results from the NHPES will provide important information about the normal range of ophthalmic measurements in NHP.

Comparison of 3 hyperuricemia mouse models and evaluation of food-derived anti-hyperuricemia compound with spontaneous hyperuricemia mouse model.

Hyperuricemia animal models have long been used for evaluating food-derived anti-hyperuricemia compounds. Fructose and potassium oxonate are commonly used for developing hyperuricemia mouse model. Recent research also developed spontaneous hyperuricemia model by uricase knockout (Uox-/-). In this work, we evaluated 3 kinds of models with the same gene background to illustrate the differences between the treatments. Unlike the uric acid levels in potassium oxonate (224.79 ± 33.62 µmol/L) and Uox-/- groups (458.39 ± 38.29 µmol/L), fructose treatment did not lead to higher serum uric acid level (174.93 ± 30.46 µmol/L) comparing to the control group (153.53 ± 40.96 µmol/L). However, abnormal glycometabolism only developed in the fructose and the Uox-/- group. In addition, anemia, inflammasome and severe renal injury occurred in the Uox-/- group. The Uox-/- mice were then treated with puerarin and allopurinol, and found that puerarin could reduce serum uric acid and alleviated the serious renal damage associated with high uric acid. Thus, the Uox-/- mice could be a suitable model for screening and evaluating anti-hyperuricemia compounds.

Elastic net-based identification of GAMT as potential diagnostic marker for early-stage gastric cancer.

Early-stage gastric cancer (GC) is asymptomatic. How to diagnose the early-stage GC is challenging. The sensitivity and specificity of diagnosing signatures for early-stage patients are still poor. Elastic-net-based analysis was used to identify potential diagnostic signatures of early-stage GC. The expression level of candidate gene was evaluated by immunohistochemistry staining. The potential function of candidate gene was verified by overexpressing in vitro. Consensus genes (including GAMT) were identified using the different strengths of the penalty. Surprisingly, GAMT was still identified even if some multicollinear variables were deleted directly. IHC staining showed that there are no GAMT-positive signals in the cell nuclei of all tumor tissues, while GAMT does express in nuclei of adjacent normal tissue. There are 16.33% positive cell nuclei in paracancerous tissues. In addition, the number of larger-area colonies of overexpression-GAMT group, empty-vector group, and AGS group is 70±29.21, 151.33±15.95, and 111.67±22.03, respectively. Number of larger colonies in group with overexpression of GAMT is significantly less than control groups. Elastic-net-penalty-based workflow is a effective tool to identify diagnostic biomarker for early-stage solid tumor. GAMT has strong potential to be the diagnostic biomarker for the early-stage GC.

Food-derived natural compounds in the management of chronic diseases via Wnt signaling pathway.

Wnt signaling pathway is an evolutionarily conserved pathway that control embryonic development, adult tissue homeostasis, and pathological processes of organisms throughout life. However, dysregulation of the Wnt signaling is associated with the occurrence of chronic diseases. In comparison with the application of chemical drugs as traditional treatment for chronic diseases, dietary agents have unique advantages, such as less side effects, multiple targets, convenience in accessibility and higher acceptability in long-term intervention. In this review, we summarized current progress in manipulating the Wnt signaling using food components and its benefits in managing chronic diseases. The underlying mechanisms of bioactive food components in the management of the disease progression via the Wnt signaling was illustrated. Then, the review focused on the function of dietary pattern (which might act via combination of foods with multiple nutrients or food ingredients) on targeting Wnt signaling at multiple level. The potential caveats and challenges in developing new strategy via modulating Wnt-associated diseases with food-based agents and appropriate dietary pattern are also discussed in detail. This review shed light on the understanding of the regulatory effect of food bioactive components on chronic diseases management through the Wnt signaling, which can be expanded to other specific signaling pathway associated with disease.

Subcritical Water Enhanced with Deep Eutectic Solvent for Extracting Polysaccharides from Lentinus edodes and Their Antioxidant Activities.

In the present study, subcritical water extraction (SWE) assisted with deep eutectic solvent (DES) is used to extract Lentinus edodes polysaccharides (LEP). In addition, the antioxidant activity of the polysaccharide samples was also investigated. Based on a single factor test and response surface test, the optimal extraction factors were a liquid-solid solvent of 40:1 mL/g, extraction temperature of 147.23 °C, water content of 39.76% and extraction time of 17.58 min. Under these extraction conditions, the yield of LEP was 6.26 ± 0.08%. Compared with the SWE and hot water extraction (HWE), it improved by 19.24% and 17.01%, respectively. In addition, the results of monosaccharide composition, molecular weight, FT-IR, UV and SEM confirmed that the extracts had the features of polysaccharides. Interestingly, the polysaccharides obtained with the SWE assisted with the DES procedure showed a higher DPPH scavenging activity, hydroxyl radical scavenging activity and hydrogen peroxide scavenging activity, which indicated that the polysaccharides with this method had a stronger antioxidant activity. These findings demonstrated that the SWE-assisted DES is a strong method to obtain polysaccharides from Lentinus edodes for food, biopharmaceutical and other industrial production.

Exploring the microbiota-Alzheimer's disease linkage using short-term antibiotic treatment followed by fecal microbiota transplantation.

Gut microbiota is proven to be involved in the development of beta amyloid (Aß) pathology in Alzheimer's disease (AD). Since there are difficulties in translating microbiota findings based on germ-free mice into clinical practice, here, we used short-term antibiotic cocktail treatment to develop a novel model with a near-germ-free status and without impacting Aß pathology. Three months old APPSWE/PS1ΔE9 mice were fed with antibiotic cocktails for two weeks by gavage to obtain a near "germ-free" status, and then received the donor fecal matter from the 16 months old APPSWE/PS1ΔE9 mice for 7 consecutive days. Fecal pellets were collected prior to antibiotics treatment, following antibiotic exposure, prior to and following fecal microbiota transplantation for gut microbiota analysis. Also, Aß pathology, astrocyte and microglia morphology were further explored. Pre-antibiotic-treated mice successfully allowed engraftment of gut microbiota following 7 consecutive days gavage with aged APPSWE/PS1ΔE9 mice microbiota. Microbiota reconstitution by transplantation was largely attributable to the donor source (e.g. g_Coriobacteriaceae and g_Clostridium) and led to a significant increase in Aß plaques. Surprisingly, astrocyte activation around Aß plaques was suppressed rather than microglia, the well-recognized plaque phagocytic cell type in Aß clearance, following microbiota engraftment. Our findings provide a novel framework for understanding the mechanisms of AD through the gut-brain axis and the translation of gut microbiota manipulation from bench to clinical practice.

Bifidobacterium Lactis Probio-M8 regulates gut microbiota to alleviate Alzheimer's disease in the APP/PS1 mouse model.

PURPOSE: Studies have shown that Alzheimer's disease is associated with significant alterations in the gut microbiota. But the effect of probiotics and/or prebiotics on Alzheimer's disease still remains to be explored. The aim of this study was to determine whether Bifidobacterium Lactis Probio-M8 could alleviate Alzheimer's disease pathophysiologies in the APP/PS1 transgenic mouse model. METHODS: 4-month old APP/PS1 mice were randomly put into two groups and fed with either Probio-M8 or saline water for 45 days. Fecal samples of mice were collected at the beginning and the end of the treatment period to determine the composition of the gut microbiota via 16S ribosomal RNA sequencing technology. The number and size of Aß plaques in the brain were quantified. In addition, Y maze, novel object recognition and nest building were employed to access cognitive function in the 8-months old APP/PS1 mice at the end of the treatment period. CONCLUSION: Our results demonstrated that Probio-M8 reduced Aß plaque burden in the whole brain and protected against gut microbiota dysbiosis. Furthermore, Probio-M8 could alleviate cognitive impairment in the APP/PS1 mouse.

Mid infrared light treatment attenuates cognitive decline and alters the gut microbiota community in APP/PS1 mouse model.

Alzheimer's disease (AD) as the first most neurodegenerative disease in the elderly still has no effective therapy, suggesting that the intervention toolbox for AD should be expanded. One newly developed strategy involves the use of photobiomodulation, such as near infrared or far infrared light, which has proven to attenuate AD-associated pathology. However, the efficacy of mid infrared light (MIR) in treating AD is under investigated. With this in mind, we assessed the benefits of MIR light of peak wavelength 7.7-10 µm treatment on APP/PS1 transgenic mice. We found that APP/PS1 mice treated with MIR light had improved learning and memory abilities and reduced amyloid-ß (Aß) plaque load in the brain. We also surprisingly found that the gut microbiota composition in APP/PS1 mice treated with MIR light returned to normal (wild type mice) levels. Together, these findings suggested a novel non-invasive and promising avenue for AD treatment via photobiomodulation, and also proposed that future target for AD might be the gut microbiota via the brain-gut-skin axis.

New Discoveries in Hybrid Orbitals to Characterize Molecules and Predict Biomolecular Interactions.

Taking hydrogen bonds as a basis to explore biomolecular properties and interactions, we constructed the lone-pair electron (LPE) index and a molecular orbital fingerprint based on molecular hybrid orbitals to represent the ability of molecules to form hydrogen bonds. Then, a computational model was constructed to predict molecular interactions. The LPE and orbital fingerprint could effectively predict the biological properties and bioactivities of molecules. This study revealed the significance of hybrid orbitals for understanding cell biochemistry.