Distance-dependent distribution thresholding in probabilistic tractography.

Tractography is widely used in human studies of connectivity with respect to every brain region, function, and is explored developmentally, in adulthood, ageing, and in disease. However, the core issue of how to systematically threshold, taking into account the inherent differences in connectivity values for different track lengths, and to do this in a comparable way across studies has not been solved. By utilising 54 healthy individuals' diffusion-weighted image data taken from HCP, this study adopted Monte Carlo derived distance-dependent distributions (DDDs) to generate distance-dependent thresholds with various levels of alpha for connections of varying lengths. As a test case, we applied the DDD approach to generate a language connectome. The resulting connectome showed both short- and long-distance structural connectivity in the close and distant regions as expected for the dorsal and ventral language pathways, consistent with the literature. The finding demonstrates that the DDD approach is feasible to generate data-driven DDDs for common thresholding and can be used for both individual and group thresholding. Critically, it offers a standard method that can be applied to various probabilistic tracking datasets.

A unified neurocomputational bilateral model of spoken language production in healthy participants and recovery in poststroke aphasia.

Understanding the processes underlying normal, impaired, and recovered language performance has been a long-standing goal for cognitive and clinical neuroscience. Many verbally described hypotheses about language lateralization and recovery have been generated. However, they have not been considered within a single, unified, and implemented computational framework, and the literatures on healthy participants and patients are largely separated. These investigations also span different types of data, including behavioral results and functional MRI brain activations, which augment the challenge for any unified theory. Consequently, many key issues, apparent contradictions, and puzzles remain to be solved. We developed a neurocomputational, bilateral pathway model of spoken language production, designed to provide a unified framework to simulate different types of data from healthy participants and aphasic patients. The model encapsulates key computational principles (differential computational capacity, emergent division of labor across pathways, experience-dependent plasticity-related recovery) and provides an explanation for the bilateral yet asymmetric lateralization of language in healthy participants, chronic aphasia after left rather than right hemisphere lesions, and the basis of partial recovery in patients. The model provides a formal basis for understanding the relationship between behavioral performance and brain activation. The unified model is consistent with the degeneracy and variable neurodisplacement theories of language recovery, and adds computational insights to these hypotheses regarding the neural machinery underlying language processing and plasticity-related recovery following damage.

Cobalt protoporphyrin promotes human keratinocyte migration under hyperglycemic conditions.

BACKGROUND: Complete healing of diabetic wounds continues to be a clinically unmet need. Although robust therapies such as stem cell therapy and growth factor treatment are clinically applied, these treatments are costly for most diabetic wound patients. Therefore, a cheaper alternative is needed. Cobalt protoporphyrin (CoPP) has recently been demonstrated to promote tissue regeneration. In this study, the therapeutic benefits of CoPP in diabetic wound healing were examined. METHODS: An in vitro wound healing model that mimics re-epithelialization was established to examine the effect of CoPP on the migratory capability of human keratinocytes (HaCaT) in either normal glucose (NG) or high glucose (HG) media, as well as in the presence of either H2O2 or lipopolysaccharide (LPS). At the end of the migration assays, cells were collected and subjected to Western blotting analysis and immunostaining. RESULTS: HaCaT were found to migrate significantly more slowly in the HG media compared to the NG media. CoPP treatment was found to enhance cell migration in HG media, but was found to decrease cell migration and proliferation when HaCaT were cultured in NG media. CoPP treatment induced high levels of expression of Nrf-2/HO-1 and FoxO1 in HaCaT cultured in either glucose concentration, although the FoxO1 expression was found to be significantly higher in HaCaT that underwent the migration assay in NG media compared to those in HG media. The higher level of FoxO1 expression seen in CoPP-treated HaCaT cultured in NG media resulted in upregulation of CCL20 and downregulation of TGFß1. In contrast, HaCaT migrated in HG media were found to have high levels of expression of TGFß1, and low levels of expression of CCL20. Interestingly, in the presence of H2O2, CoPP-pretreated HaCaT cultured in either NG or HG media had similar expression level of Nrf-2/HO-1 and FoxO1 to each other. Moreover, the anti-apoptotic effect of CoPP pretreatment was noticed in HaCaT cultured in either glucose concentration. Additionally, CoPP pretreatment was shown to promote tight junction formation in HaCaT suffering from LPS-induced damage. CONCLUSIONS: CoPP enhances cell migratory capacity under hyperglycemic conditions, and protects cells from oxidative and LPS-induced cellular damage in HG media containing either H2O2 or LPS.

Preclinical Transplacental Transfer and Pharmacokinetics of Fipronil in Rats.

Fipronil, a widely used insecticide and pesticide, with its toxic metabolite fipronil sulfone was detected in fipronil-contaminated eggs as a result of inappropriate use. However, little is known about whether fipronil and fipronil sulfone transfer into fetus through the blood-placenta barrier. Our objectives were to investigate the transplacental transfer and the pharmacokinetics of fipronil and fipronil sulfone in rats. Male and female (with 13 days of gestation) Sprague-Dawley rats were used in pharmacokinetics and transplacental transfer experiments, respectively. Biologic samples were collected at each time point after fipronil intravenous or oral administration. To monitor fipronil and fipronil sulfone in the plasma, placenta, amniotic fluid, and fetus, a validated liquid chromatography tandem mass spectrometry method was developed. After fipronil administration in male rats, the oral bioavailability decreased, whereas the biotransformation increased as the dose increased, revealing an enhancement of first-pass effect and a fast metabolism in vivo. The results of fipronil transplacental transfer in pregnant rats demonstrated that the concentration of fipronil and fipronil sulfone varied in the following order, respectively: placenta > plasma > fetus > amniotic fluid and plasma > placenta > fetus > amniotic fluid. This is the first direct evidence that fipronil and fipronil sulfone cross the blood placental barriers and enter the fetus. The amount of fipronil distributed to the fetus was greater than that of fipronil sulfone in the short term, but by contrast, pharmacokinetic data showed that the latter stayed longer in the body. These findings provide constructive information for public health alarm. SIGNIFICANCE STATEMENT: Fipronil and fipronil sulfone interfere with the GABAergic system. Fipronil can cause thyroid dysfunction, which may affect brain growth and nerve development. Although we knew that fipronil and fipronil sulfone could enter eggs, there was no direct evidence that they would enter fetuses. This research provided evidence on the pharmacokinetics and transplacental transfer of fipronil and fipronil sulfone, confirming our hypothesis.

The relationships between oral language and reading instruction: Evidence from a computational model of reading.

Reading acquisition involves learning to associate visual symbols with spoken language. Multiple lines of evidence indicate that instruction on the relationship between spellings and sounds may be particularly important.However, it is unclear whether the effectiveness of this form of instruction depends on pre-existing oral language knowledge.To investigate this issue, we developed a series of computational models of reading incorporating orthographic, phonological and semantic processing to simulate bothartificialand natural orthographic learning conditions in adults and children. We exposed the models to instruction focused on spelling-sound or spelling-meaning relationships, and tested the influence of the models' oral language proficiency on the effectiveness of these training regimes. Overall, the simulations indicated thatoral language proficiency is a vital foundation for reading acquisition, and may modulate the effectiveness of reading instruction. These results provide a computational basis for the Simple View of Reading,and emphasise the importance of both oral language knowledge and spelling-sound instructionin the initial stages of learning to read.

Semantic ambiguity effects on traditional Chinese character naming: A corpus-based approach.

Words are considered semantically ambiguous if they have more than one meaning and can be used in multiple contexts. A number of recent studies have provided objective ambiguity measures by using a corpus-based approach and have demonstrated ambiguity advantages in both naming and lexical decision tasks. Although the predictive power of objective ambiguity measures has been examined in several alphabetic language systems, the effects in logographic languages remain unclear. Moreover, most ambiguity measures do not explicitly address how the various contexts associated with a given word relate to each other. To explore these issues, we computed the contextual diversity (Adelman, Brown, & Quesada, Psychological Science, 17; 814-823, 2006) and semantic ambiguity (Hoffman, Lambon Ralph, & Rogers, Behavior Research Methods, 45; 718-730, 2013) of traditional Chinese single-character words based on the Academia Sinica Balanced Corpus, where contextual diversity was used to evaluate the present semantic space. We then derived a novel ambiguity measure, namely semantic variability, by computing the distance properties of the distinct clusters grouped by the contexts that contained a given word. We demonstrated that semantic variability was superior to semantic diversity in accounting for the variance in naming response times, suggesting that considering the substructure of the various contexts associated with a given word can provide a relatively fine scale of ambiguity information for a word. All of the context and ambiguity measures for 2,418 Chinese single-character words are provided as supplementary materials.

Exploring orthographic neighborhood size effects in a computational model of Chinese character naming.

Orthographic neighborhood (N) size effects have been extensively studied in English consistently producing a facilitatory effect in word naming tasks. In contrast, several recent studies on Chinese character naming have demonstrated an inhibitory effect of neighborhood size. Response latencies tend to be inhibited by inconsistent characters with large neighborhoods relative to small neighborhoods. These differences in neighborhood effects between languages may depend on the characteristics (depth) of the mapping between orthography and phonology. To explore this, we first conducted a behavioral experiment to investigate the relationship between neighborhood size, consistency and reading response. The results showed an inhibitory effect of neighborhood size for inconsistent characters but a facilitatory effect for consistent characters. We then developed two computational models based on parallel distributed processing principles to try and capture the nature of the processing that leads to these results in Chinese character naming. Simulations using models based on the triangle model of reading indicated that consistency and neighborhood size interact with the division of labor between semantics and phonology to produce these effects.

A psycholinguistic database for traditional Chinese character naming.

In this study, we aimed to provide a large-scale set of psycholinguistic norms for 3,314 traditional Chinese characters, along with their naming reaction times (RTs), collected from 140 Chinese speakers. The lexical and semantic variables in the database include frequency, regularity, familiarity, consistency, number of strokes, homophone density, semantic ambiguity rating, phonetic combinability, semantic combinability, and the number of disyllabic compound words formed by a character. Multiple regression analyses were conducted to examine the predictive powers of these variables for the naming RTs. The results demonstrated that these variables could account for a significant portion of variance (55.8%) in the naming RTs. An additional multiple regression analysis was conducted to demonstrate the effects of consistency and character frequency. Overall, the regression results were consistent with the findings of previous studies on Chinese character naming. This database should be useful for research into Chinese language processing, Chinese education, or cross-linguistic comparisons. The database can be accessed via an online inquiry system (http://ball.ling.sinica.edu.tw/namingdatabase/index.html).

Characterization of Anthocyanins in Perilla frutescens var. acuta Extract by Advanced UPLC-ESI-IT-TOF-MSn Method and Their Anticancer Bioactivity.

The anthocyanin extract from a domestic Perilla cultivar (Perilla frutescens var. acuta) were isolated and characterized with high mass accuracy and multi-dimensional fragmentation by means of ultra-performance liquid chromatography (UPLC) and electrospray ionization-ion trap-time of flight mass spectrometry analysis (ESI-IT-TOF-MSn). The new developed and applied LC-MS method focused on in-depth screening of anthocyanin compounds with similar structures which also provided a new approach of anthocyanin characterization without the use of external standards. Selective detection of interested anthocyanins was achieved utilizing extracted ion chromatogram (EIC) analysis, while MSn spectra were recorded to allow identification of the anthocyanin based on characteristic fragmentation patterns. Seven anthocyanins including one feruloyl (Cyanidin 3-O-feruloylglucoside-5-O-glucoside), two caffeoyl (Cyanidin 3-O-caffeoylglucoside-5-O-glucoside, Cyanidin 3-O-caffeoylglucoside-5-O-malonylglucoside) and four coumaroyl substituted anthocyanins (Cis-shisonin, Malonyl-cis-shisonin, Shisonin, and Malonyl-shisonin) were identified. Annexin-V FITC/PI flow cytometric assay was performed to analyze the influence of anthocyanin extract of P. frutescens var. acuta on cell apoptosis. The results suggested that Perilla anthocyanins can induce Hela cell apoptosis by a dose dependent manner.

Simultaneous simulations of pure, surface and phonological acquired dyslexia within a full computational model of the primary systems hypothesis.

According to the primary systems hypothesis, reading requires interactions of visual-orthographic, phonological and semantic systems. Damage to each primary system generates very different types of acquired dyslexia. Variants of the connectionist 'triangle' models of reading have been developed to investigate individual acquired dyslexia. However, only a few studies have investigated multiple acquired alexia within one framework. Importantly, there are no studies that simultaneously simulate both central dyslexia (e.g. surface and phonological dyslexia) and peripheral dyslexia (e.g. pure alexia). That is largely due to the lack of a visual component in the traditional reading models. To verify the predictions made by the primary systems hypothesis, we developed a connectionist 'deep' multi-layer triangle model of reading including visual, orthographic, phonological and semantic processing layers. We investigated whether damage to the model could produce the general behavioural patterns of impaired performance observed in patients with the corresponding reading deficits. Crucially, damage to the visual-orthographic, phonological or semantic components of the model resulted in the expected reading impairments associated with pure alexia, phonological dyslexia and surface dyslexia, respectively. The simulation results demonstrated for the first time that neurologically-impaired reading including both central and peripheral dyslexia could be addressed within a single triangle model of reading. The findings are consistent with the predictions made by the primary systems hypothesis.

Modelling individual differences in reading using an optimised MikeNet simulator: the impact of reading instruction.

Reading is vital for acquiring knowledge and studies have demonstrated that phonology-focused interventions generally yield greater improvements than meaning-focused interventions in English among children with reading disabilities. However, the effectiveness of reading instruction can vary among individuals. Among the various factors that impact reading skills like reading exposure and oral language skills, reading instruction is critical in facilitating children's development into skilled readers; it can significantly influence reading strategies, and contribute to individual differences in reading. To investigate this assumption, we developed a computational model of reading with an optimised MikeNet simulator. In keeping with educational practices, the model underwent training with three different instructional methods: phonology-focused training, meaning-focused training, and phonology-meaning balanced training. We used semantic reliance (SR), a measure of the relative reliance on print-to-sound and print-to-meaning mappings under the different training conditions in the model, as an indicator of individual differences in reading. The simulation results demonstrated a direct link between SR levels and the type of reading instruction. Additionally, the SR scores were able to predict model performance in reading-aloud tasks: higher SR scores were correlated with increased phonological errors and reduced phonological activation. These findings are consistent with data from both behavioral and neuroimaging studies and offer insights into the impact of instructional methods on reading behaviors, while revealing individual differences in reading and the importance of integrating OP and OS instruction approaches for beginning readers.

Screening for early Alzheimer's disease: enhancing diagnosis with linguistic features and biomarkers.

Introduction: Research has shown that speech analysis demonstrates sensitivity in detecting early Alzheimer's disease (AD), but the relation between linguistic features and cognitive tests or biomarkers remains unclear. This study aimed to investigate how linguistic features help identify cognitive impairments in patients in the early stages of AD. Method: This study analyzed connected speech from 80 participants and categorized the participants into early-AD and normal control (NC) groups. The participants underwent amyloid-ß positron emission tomography scans, brain magnetic resonance imaging, and comprehensive neuropsychological testing. Participants' speech data from a picture description task were examined. A total of 15 linguistic features were analyzed to classify groups and predict cognitive performance. Results: We found notable linguistic differences between the early-AD and NC groups in lexical diversity, syntactic complexity, and language disfluency. Using machine learning classifiers (SVM, KNN, and RF), we achieved up to 88% accuracy in distinguishing early-AD patients from normal controls, with mean length of utterance (MLU) and long pauses ratio (LPR) serving as core linguistic indicators. Moreover, the integration of linguistic indicators with biomarkers significantly improved predictive accuracy for AD. Regression analysis also highlighted crucial linguistic features, such as MLU, LPR, Type-to-Token ratio (TTR), and passive construction ratio (PCR), which were sensitive to changes in cognitive function. Conclusion: Findings support the efficacy of linguistic analysis as a screening tool for the early detection of AD and the assessment of subtle cognitive decline. Integrating linguistic features with biomarkers significantly improved diagnostic accuracy.

The influence of oral vocabulary knowledge on individual differences in a computational model of reading.

Studies have demonstrated systematic individual differences in the degree of semantic reliance (SR) when reading aloud exception words in adult skilled readers. However, the origins of individual differences in reading remain unclear. Using a connectionist model of reading, this study investigated whether oral vocabulary knowledge may affect the degree of SR as a potential source of individual differences in reading. Variety in oral vocabulary knowledge was simulated by training the model to learn the mappings between spoken and meaning word forms with different vocabulary sizes and quantities of exposure to these vocabularies. The model's SR in the reading aloud task was computed. The result demonstrated that the model with varying amounts of oral exposure and vocabulary sizes had different levels of SR. Critically, SR was able to predict the performance of the model on reading aloud and nonword reading, which assimilated behavioural reading patterns. Further analysis revealed that SR was largely associated with the interaction between oral vocabulary exposure and oral vocabulary size. When the amount of exposure was limited, SR significantly increased with vocabulary sizes but decreased then with vocabulary sizes. Overall, the simulation results provide the first computational evidence of the direct link between oral vocabulary knowledge and the degree of SR as a source of individual differences in reading.

"Serial" effects in parallel models of reading.

There is now considerable evidence showing that the time to read a word out loud is influenced by an interaction between orthographic length and lexicality. Given that length effects are interpreted by advocates of dual-route models as evidence of serial processing this would seem to pose a serious challenge to models of single word reading which postulate a common parallel processing mechanism for reading both words and nonwords (Coltheart, Rastle, Perry, Langdon, & Ziegler, 2001; Rastle, Havelka, Wydell, Coltheart, & Besner, 2009). However, an alternative explanation of these data is that visual processes outside the scope of existing parallel models are responsible for generating the word-length related phenomena (Seidenberg & Plaut, 1998). Here we demonstrate that a parallel model of single word reading can account for the differential word-length effects found in the naming latencies of words and nonwords, provided that it includes a mapping from visual to orthographic representations, and that the nature of those orthographic representations are not preconstrained. The model can also simulate other supposedly "serial" effects. The overall findings were consistent with the view that visual processing contributes substantially to the word-length effects in normal reading and provided evidence to support the single-route theory which assumes words and nonwords are processed in parallel by a common mechanism.

Major royal jelly proteins alleviate non-alcoholic fatty liver disease in mice model by regulating disordered metabolic pathways.

Nonalcoholic fatty liver disease (NAFLD), the major cause of global chronic hepatic injury, has obtained increasing attention while the current drug treatment still laid safety hazards. Major royal jelly proteins (MRJPs), the water-soluble proteins enriched in royal jelly (RJ), were applied to study its effects on improving NAFLD in the NAFLD mouse model. Herein, we demonstrated that intaking of 250-500 mg/kg/day MRJPs significantly decreased the rate of obesity, dyslipidemia, hepatic steatosis, and insulin resistance. Next, TOF to MRM ("TM") widely targeted metabolomics (untargeted metabolomics + widely targeted metabolomics) was further used to explore the potential mechanism, and we found that 500 mg/kg MRJPs alleviated lipid metabolism, oxidative stress, and inflammation mainly by regulating the metabolisms of alpha-linolenic acid, linoleic acid, arachidonic acid, and biosynthesis of unsaturated fatty acids. Moreover, by detecting multiple oxidative stress factors and inflammatory cytokines, we found that MRJPs indeed exerted antioxidant and anti-inflammatory effects. Together, we demonstrated that MRJPs could mediate the progress of NAFLD through the "multi-component-multi-target-multi-pathway" mechanism, which could be considered as an ideal functional food in alleviating NAFLD. PRACTICAL APPLICATIONS: Royal jelly (RJ) is a bee product with high nutritional value. Major royal jelly proteins (MRJPs) are water-soluble proteins in RJ. Our research showed that MRJPs significantly ameliorated NAFLD induced by a high-fat diet in mice, suggesting that MRJPs could be used as an active ingredient to help improve NAFLD, which was beneficial for the development of related functional foods and the economic value of RJ. Moreover, the metabolic pathways involved in the ameliorative effect of MRJPs were investigated, which provided new ideas for the prevention and treatment of NAFLD.

Oral administration of octacosanol modulates the gut bacteria and protects the intestinal barrier in ulcerative colitis mice.

Octacosanol (Oct), a kind of long-chain fatty alcohol extracted from rice bran was applied to study its effects on alleviating ulcerative colitis (UC). Oct was orally administered at 10 mg/kg (Oct-L) and 30 mg/kg (Oct-H) to dextran sulfate sodium (DSS)-induced mice. Here, we reported that oral administration of 30 mg/kg Oct can significantly prevent the weight loss, colon shortening, and decrease the disease activity index (DAI) score. Oct-H supplementation modified the intestinal flora by lowering the Firmicutes/Bacteroidetes (F/B) ratio, increasing the abundance of Prevotellaceae, S24-7, Turicibacter, and meanwhile decreasing Enterococcus and Stenotrophomonas. Based on the PICRUSt2 analysis, Oct-H may exert effects by anti-inflammation and xenobiotics degradation. Furthermore, short-chain fatty acids (SCFAs) levels were raised and the integrity of the gut barrier was protected. In conclusion, Oct-H can relieve clinical symptoms, modulate the gut bacteria and protect the intestinal barrier in UC mice, suggesting the potential of Oct as a food supplementation in alleviating UC. PRACTICAL APPLICATIONS: Ulcerative colitis (UC) is a hard-to-cure disease, with increasing morbidity in recent years. Therefore, finding out a food supplement to alleviate UC is very meaningful. In this work, we showed that octacosanol significantly alleviated ulcerative colitis in mice. We revealed, for the first time, octacosanol's effects on protecting the integrity of the gut barrier, modulating the intestinal flora and its metabolism (SCFAs). Therefore, octacosanol was expected to prevent colitis in an all-round way. Our research might also lay the theoretical foundation for the further development of related functional foods.

Chrysin Improves Glucose and Lipid Metabolism Disorders by Regulating the AMPK/PI3K/AKT Signaling Pathway in Insulin-Resistant HepG2 Cells and HFD/STZ-Induced C57BL/6J Mice.

Natural products with minor side effects have been reported to be an effective adjuvant therapy for glucose and lipid metabolism disorders. Chrysin, a flavone, has a wide range of physiological effects, such as antioxidant, anti-inflammatory, anti-diabetes, anti-hyperlipidemia, and hepatoprotective. This study was designed to explore the effects and mechanism of chrysin on metabolic syndrome using insulin-resistant HepG2 cells and HFD/STZ-induced C57BL/6J mice. The results indicated that chrysin significantly decreased insulin resistance, oxidative stress, inflammation, and liver injury. In addition, chrysin improved glycogen synthesis and fatty acid oxidation and inhibited gluconeogenesis and fatty acid synthesis by regulating GSK3ß, G6Paes, PEPCK, SREBP1, FAS, and ACC1. Furthermore, the results of western blot and real-time PCR experiments demonstrated that chrysin modulated glucose and lipid metabolism through the AMPK/PI3K/AKT signaling pathway. Treatment with the AMPK inhibitor verified that AMPK activation is positively correlated with chrysin activity on glycolipid metabolism. This study confirms that chrysin is a potential treatment for glucose and lipid metabolism disorders.

Age of acquisition effects on traditional Chinese character naming and lexical decision.

Across languages, age of acquisition (AoA) is a critical psycholinguistic factor in lexical processing, reflecting the influence of learning experience. Early-acquired words tend to be processed more quickly and accurately than late-acquired words. Recently, an integrated view proposed that both the mappings between representations and the construction of semantic representations contribute to AoA effects, thus, predicting larger AoA effects for words with arbitrary mappings between representations as well as for tasks requiring greater semantic processing. We investigated how these predictions generalize to the Chinese language system that differs from alphabetic languages regarding the ease of mappings and semantic involvement in lexical processing. A cross-task investigation of differential psycholinguistic effects was conducted with large character naming and lexical decision datasets to establish the extent to which semantics is involved in the two tasks. We focused on examining the effect sizes of lexical-semantic variables and AoA, and the interaction between AoA and consistency. The results demonstrated that semantics influenced Chinese character naming more than lexical decision, which is in contrast with the findings related to English language, though, critically, AoA effects were more pronounced for character naming than for lexical decision. Additionally, an interaction between AoA and consistency was found in character naming. Our findings provide cross-linguistic evidence supporting the view of multiple origins of AoA effects in the language-processing system.

Polysaccharide isolated from Auricularia auricular-judae (Bull.) prevents dextran sulfate sodium-induced colitis in mice through modulating the composition of the gut microbiota.

Inflammatory bowel disease (IBD) is a chronic intestinal disease, which was commonly found in westerners whereas is increasingly prevalent in Asia because of the changing eating habits. In previous research, we found that a water-soluble polysaccharide isolated from Auricularia auricular-judae (Bull.)-a kind of edible mushroom (Aap)-is composed of ß-1,3 glycosidic bonds, which is regarded as therapeutic or protective substance in enteritis. We therefore aimed to find the preventing effect of Aap on IBD. Here, we reported that pre-administration of Aap not only ameliorated weight loss, colon damage, and mucosal inflammation in colitis mice, but also prevented the damage of intestinal barrier by reducing the D-lactic acid and diamine oxidase level in plasma. Through high-throughput sequencing, we found that Aap changed gut microbiota composition. Furthermore, the preventing effect was transmissible via horizontal feces transfer from Aap-treated mice to normal mice. Our results indicated that oral administration of Aap is a promising protective substance of IBD. PRACTICAL APPLICATION: Our study proved that Auricularia auricula polysaccharide had substantial preventing effect on DSS-induced colitis in mice. This research might lay the theoretical foundation and technical support for the development of related functional foods. People could also enhance their gut immunity by eating Auricularia auricular in their daily life. Auricularia auricular as a highly nutritious agricultural product showed the broad significance in nutrition and food function.

Cold-pressed Canola Oil Reduces Hepatic Steatosis by Modulating Oxidative Stress and Lipid Metabolism in KM Mice Compared with Refined Bleached Deodorized Canola Oil.

The quality of canola oil is affected by different extraction methods. The effect of cold-pressed canola oil (CPCO) diet and traditional refined bleached deodorized canola oil (RBDCO) diet on lipid accumulation and hepatic steatosis in mice were investigated. The body weight, peroxisome proliferator-activated receptor-α concentration, serum lipid profile, insulin sensitivity, and oxidative stress were increased in mice fed with CPCO diet, which had higher unsaturated fatty acid, tocopherols, phytosterols, and phospholipids but lower saturated fatty acid than RBDCO, after 12 weeks,. Moreover, CPCO significantly increased tocopherols and phytosterols content in liver and reduced liver cholesterol contents and lipid vacuoles accumulation than RBDCO. Also, serum proinflammatory cytokines, 3-hydroxy-3-methylglutary coenzyme A reductase expression level, lipogenic enzymes, and transcriptional factors such as sterol regulatory element-binding proteins 1c, acetyl-CoA carboxylase, and fatty acid synthase in the liver were also markedly downregulated from CPCO diet mice. Overall, CPCO can reduce lipid accumulation and hepatic steatosis by regulating oxidative stress and lipid metabolism in Kun Ming mice compared with RBDCO. PRACTICAL APPLICATION: The results suggested that more bioactive components were contained in cold-pressed canola oil (CPCO) rather than refined bleached deodorized canola oil (RBDCO). CPCO could lower the risk of obesity and hyperlipidemia, reduce lipid accumulation, and prevent hepatic steatosis. It could be considered as a kind of better edible oil than RBDCO.