The potential of dietary fiber in building immunity against gastrointestinal and respiratory disorders.

The numerous health benefits of dietary fibers (DFs) justify their inclusion in human diets and biomedical products. Given the short- and long-term human impacts of the COVID-19 virus on human health, the potential of DFs in building immunity against gastrointestinal and respiratory disorders is currently receiving high attention. This paper reviews the physicochemical properties of DFs, together with their immune functions and effects on the gastrointestinal tract and respiratory system mainly based on research in the last ten years. Possible modes of action of DFs in promoting health, especially building immunity, are explored. We seek to highlight the importance of understanding the exact physical and chemical characteristics and molecular behaviors of DFs in providing specific immune function. This review provides a perspective beyond the existing recognition of DFs' positive effects on human health, and offers a theoretical framework for the development of special DFs components and their application in functional foods and other therapeutic products against gastrointestinal and respiratory disorders. DFs enhance immunity from gastrointestinal and respiratory diseases to promote host health.

Nomogram for predicting the 12-year risk of ADL disability among older adults.

OBJECTIVES: Previous studies have identified plenty of risk factors for activities of daily living (ADL). However, there are no reliable and widely available prediction models for ADL disability up to now. This study aimed to develop and validate a nomogram for predicting the 12-year risk of ADL disability in older adults. METHODS: Data from 4,809 participants in the English Longitudinal Study of Ageing (ELSA) and 18,620 participants in the Survey of Health, Ageing and Retirement in Europe (SHARE) were used as training set and validation set, respectively. We used the least absolute shrinkage and selection operator (LASSO) and Cox regression to screen the predictors and develop the nomogram. The P value, concordance index (C-index), integrated area under the ROC (receiver operating characteristic) curve (AUC) and calibration curves were used to validate the nomogram. RESULTS: During 12 years, 30.0% (n = 1,441) participants developed ADL disability in the training set, while the corresponding percentages were 18.5% in the validation set (n = 3,445). After screening, 13 variables were contained in the final prediction model. In ADL nomogram, the C-index and AUC were 0.744 ± 0.013 and 0.793 in internal valid ation, respectively, while in external validation, the C-index and AUC were 0.755 ± 0.009 and 0.796. CONCLUSIONS: This study developed and validated a nomogram that predicts functional disability. The application of the predictive model could have important implications for patient prognosis and health care.

Systematic profiling of early regulators during tissue regeneration using zebrafish model.

Great progresses have been made in comprehension of tissue regeneration process. However, one of the central questions in regeneration research remains to be deciphered is what factors initiate regenerative process. In present study, we focused on systematic profiling of early regulators in tissue regeneration via high-throughput screening on zebrafish caudal fin model. Firstly, 53 GO-annotated regeneration-related genes, which were specifically activated upon fin amputation, were identified according to the transcriptomic analysis. Moreover, qRT-PCR analysis of a couple of randomly selected genes from the aforementioned gene list validated our sequencing results. These studies confirmed the reliability of transcriptome sequencing analysis. Fibroblast growth factor 20a (fgf20a) is a key initial factor in the regeneration of zebrafish. Through a gene expression correlation analysis, we discovered a collection of 70 genes correlating with fgf20a, whose expression increased promptly at 2 days post amputation (dpa) and went down to the basal level until the completion of fin regeneration. In addition, two genes, socs3b and nppc, were chosen to investigate their functions during the fin regeneration. Inhibition of either of those genes significantly delayed the regenerative process. Taken together, we provided a simple and effective time-saving strategy that may serve as a tool for identifying early regulators in regeneration and identified 71 genes as early regulators of fin regeneration.

Loneliness mediates the relationships between perceived neighborhood characteristics and cognition in middle-aged and older adults.

OBJECTIVES: We aimed to examine whether loneliness mediates these associations between perceived neighborhood characteristics and cognition among middle-aged and older adults. METHODS: Data from wave 10 (2010-2012) to wave 13 (2016-2017) of the Health and Retirement Study were analyzed. Perceived neighborhood characteristics were self-reported. Loneliness was measured by Revised University of California Los Angeles (R-UCLA) Loneliness Scale. Cognition was evaluated by the modified version of Telephone Interview for Cognitive Status. Baron and Kenny's causal steps and multiple linear regression models based on Karlson/Holm/Breen (KHB) method were used to examine the mediating effect. RESULTS: At baseline, 15,142 participants had no cognitive impairment, and 11,413 individuals were finally included in our analysis after 6-year follow-up. Multiple linear regression models suggested that lower perceived neighborhood physical disorder (ß = 0.073, p = 0.033) and greater perceived neighborhood safety (ß = 0.350, p = 0.009) were associated with better cognition. KHB test identified the significant mediating effect of loneliness on the relationships between perceived neighborhood physical disorder (ß = 0.011, p = 0.016) and perceived neighborhood safety (ß = 0.023, p = 0.026) and cognition. CONCLUSIONS: Perceived neighborhood characteristics are associated with cognition among middle-aged and older American adults. Loneliness mediated associations between perceived neighborhood physical disorder and perceived neighborhood safety and cognition.

Establishment of a nomogram model to predict macrosomia in pregnant women with gestational diabetes mellitus.

AIM: To establish a nomogram model to predict the risk of macrosomia in pregnant women with gestational diabetes mellitus in China. METHODS: We retrospectively collected the medical records of 783 pregnant women with gestational diabetes who underwent prenatal examinations and delivered at the Affiliated Hospital of Qingdao University from October 2019 to October 2020. The pregnant women were randomly divided into two groups in a 4:1 ratio to generate and validate the model. The independent risk factors for macrosomia in pregnant women with gestational diabetes mellitus were analyzed by multivariate logistic regression, and the nomogram model to predict the risk of macrosomia in pregnant women with gestational diabetes mellitus was established and verified by R software. RESULTS: Logistic regression analysis showed that prepregnancy body mass index, weight gain during pregnancy, fasting plasma glucose, triglycerides, biparietal diameter and amniotic fluid index were independent risk factors for macrosomia (P < 0.05). The areas under the ROC curve for internal and external validation of the model were 0.813 (95 % confidence interval 0.754-0.862) and 0.903 (95 % confidence interval 0.588-0.967), respectively. The calibration curve was a straight line with a slope close to 1. CONCLUSIONS: In this study, we constructed a nomogram model to predict the risk of macrosomia in pregnant women with gestational diabetes mellitus. The model has good discrimination and calibration abilities, which can help clinical healthcare staff accurately predict macrosomia in pregnant women with gestational diabetes mellitus.

Correction to: Identification of ALDH3A2 as a novel prognostic biomarker in gastric adenocarcinoma using integrated bioinformatics analysis.

An amendment to this paper has been published and can be accessed via the original article.

Identification of ALDH3A2 as a novel prognostic biomarker in gastric adenocarcinoma using integrated bioinformatics analysis.

BACKGROUND: Extensive research has revealed that genes play a pivotal role in tumor development and growth. However, the underlying involvement of gene expression in gastric carcinoma (GC) remains to be investigated further. METHODS: In this study, we identified overlapping differentially expressed genes (DEGs) by comparing tumor tissue with adjacent normal tissue using the Gene Expression Omnibus (GEO) and the Cancer Genome Atlas (TCGA) database. RESULTS: Our analysis identified 79 up-regulated and ten down-regulated genes. Functional enrichment analysis and prognosis analysis were conducted on the identified genes, and the fatty aldehyde dehydrogenase (FALDH) gene, ALDH3A2, was chosen for more detailed analysis. We performed Gene Set Enrichment Analysis (GSEA) and immunocorrelation analysis (infiltration, copy number alterations, and checkpoints) to elucidate the mechanisms of action of ALDH3A2 in depth. The immunohistochemical (IHC) result based on 140 paraffin-embedded human GC samples indicated that ALDH3A2 was over-expressed in low-grade GC cases and the OS of patients with low expression of ALDH3A2 was significantly shorter than those with high ALDH3A2 expression. In vitro results indicated that the expression of ALDH3A2 was negatively correlated with PDCD1, PDCD1LG2, and CTLA-4. CONCLUSION: We conclude that ALDH3A2 might be useful as a potential reference value for the relief and immunotherapy of GC, and also as an independent predictive marker for the prognosis of GC.

Impact Damage Detection in Patch-Repaired CFRP Laminates Using Nonlinear Lamb Waves.

Carbon fiber-reinforced polymer (CFRP) laminates, a key composite material, are widely used in aircraft structures and are susceptible to low-velocity impact (LVI) damage from bird strikes, lightning strikes, hail impacts and other situations. Therefore, finding a method that repairs the damaged structure and detects the effect of these repairs under LVI is a very important goal. In this work, the repair effect of LVI damage in CFRP laminates repaired with patches of various sizes is investigated via experimental and numerical nonlinear Lamb wave analyses. An integrated numerical procedure that combines LVI with nonlinear Lamb wave detection is developed to predict the nonlinear Lamb wave behavior in LVI-damaged patch-repaired CFRP laminates. The CFRP laminate damage in the nonlinear Lamb wave simulation is evaluated based on relative acoustic nonlinearity parameters (RANPs). As a result, the integrated numerical procedure is validated with drop-weight impact tests and RAM-5000 SNAP nonlinear ultrasonic detection system. An optimal patch design is established via interpolation to optimize the absorbed energy, delamination surface area, second RANP and third RANP with different patch repair sizes. These parameters exhibit consistent curve fitting trends, indicating that they can be used as important indicators of impact damage. The optimal circular patch design with a radius of 2.5 r has better impact resistance behavior and repair performance.

Two Compounds Isolated From Ganglioside GM1 Promote Angiogenesis in Zebrafish.

Ganglioside has been implicated to play important roles in modulating various cell signaling and biological functions. However, the functional analysis of a single ganglioside in a zebrafish model is so far lacking. In this study, we investigated the angiogenic effects of 2 monosialoganglioside compounds isolated from GM1 in zebrafish embryos. First, we showed the tested compounds are adequate safe. Then, we found that these compounds exhibited significant proangiogenic effect through enhancement of endothelial cell proliferation, migration, and differentiation. Furthermore, the 2 compounds were proved to promote angiogenesis through, at least partially, modulating the level of Notch signaling. This study provides the novel insights into the clinical application of the 2 ganglioside compounds and GM1.

Chaetomadrasins A and B, Two New Cytotoxic Cytochalasans from Desert Soil-Derived Fungus Chaetomium madrasense 375.

Two new cytochalasans, Chaetomadrasins A (1) and B (2), along with six known analogues (3-8), were isolated from the solid-state fermented culture of desert soil-derived Chaetomium madrasense 375. Their structures were clarified by comprehensive spectroscopic analyses, and the absolute configurations of Compounds 1 and 2 were confirmed by electronic circular dichroism (ECD) and calculated ECD. For the first time, Chaetomadrasins A (1), which belongs to the chaetoglobosin family, is characterized by the presence of all oxygen atoms in the form of Carbonyl. Chaetomadrasin B (2) represents the first example of chaetoglobosin type cytochalasan characterized by a hydroxy unit and carbonyl group fused to the indole ring. Compounds 1 and 2 displayed moderate cytotoxicity against HepG2 human hepatocellular carcinoma cells.

Two Novel Polysaccharides in Psoralea corylifolia L and anti-A549 Lung Cancer Cells Activity In Vitro.

Two novel water soluble heteroglycan (PCp-I and PCp-II) with anti-A549 lung cancer cells activity were isolated from Psoralea corylifolia L. Their average molecular weights were 2.721 × 104 and 2.850 × 104. PCp-I and PCp-II had the same monosaccharide composition, but their molar ratios were different. Based on methylation and NMR spectroscopy, the part structure of PCp-I was identified. The results of scanning electron microscope (SEM) showed that PCp-I had an irregular porous structure and PCp-II was flaky and irregularly curved. The results of thermogravimetry-differential scanning calorimetry (TG-DSC) showed that PCp-I and PCp-II had good thermal stability. Furthermore, PCp-I and PCp-II exhibited significant anti-A549 lung cancer cells activity (IC50 = 64.84 and 126.30 µM) in vitro.

[Advance on chemical compounds of Ainsliaea genus].

Plants in Ainsliaea genus, belongs to Compositae family, are traditional Chinese medicine and widely used in folk. These plants contain various types of chemical components, and main components are sesquiterpene lactone and its glycosides. In addition, there are triterpenoids, flavonoids, steroids, phenolic acid, long chain fatty acid and volatile oils. Recently, much attention has been payed to varlous research of A. fragrans. This paper reviewed and summarized the chemical components to provide the theoretical basis for the use of Ainsliaea.

Anti-inflammatory properties of polysaccharides from edible fungi on health-promotion: a review.

Edible fungus polysaccharides have garnered significant attention from scholars due to their safety and potential anti-inflammatory activity. However, comprehensive summaries of their anti-inflammatory properties are still rare. This paper provides a detailed overview of the anti-inflammatory effects and mechanisms of these polysaccharides, as well as their impact on inflammation-related diseases. Additionally, the relationship between their structure and anti-inflammatory activity is discussed. It is believed that this review will greatly enhance the understanding of the application of edible fungus polysaccharides in anti-inflammatory treatments, thereby significantly promoting the development and utilization of edible fungi.

[Advance in studies on pharmacological activities of chelerythrine].

Chelerythrine is a kind of benzo[c] phenanthridine alkaloids, with such pharmacological activities as antitumor, antibiosis and anti-inflammation, which is widely found in plant of Fumariaceae, Papaveraceae, Ranunculaceae and Rutaceae families. This article summarizes the advances in domestic and foreign studies on pharmacological effect of chelerythrine in the recent decade, in the expectation of providing scientific basis for the in-depth studies, development and utilization of chelerythrine.

[Chemical constituents from Psoralea corylifolia and their antioxidant alpha-glucosidase inhibitory and antimicrobial activities].

Twelve compounds were isolated from Psoralea corylifolia and their structures were identified as isopsoralen (1), psoralen (2), 8-methoxypsoralen (3), psoralidin (4), corylin (5), bavachin (6), daidzein (7), corylifolinin (8), bavachinin (9), neobavaisoflavone (10), daidzin (11) and astragalin (12). The results showed that psoralidin had the activity of scavenging DPPH free radicals activity (IC50 43.85 mg x L(-1)). Psoralidin (IC50 1.32 mg x L(-1))c, oryfolin (IC50 4.97 mg x L(-1)), daidzin (IC50 10.47 mg x S(-1)), daidzein (IC50 34.22 mg) x L(-1)) and astragalin (IC50 31.27 mg x L(-1)) had the activity of scavenging ABTS free radical. Psoralidin (IC50 40.74 mg x L(-1)), coryfolin (IC50 45.73 mg x L(-1)) and daidzein (IC50 49.44 mg x L(-1)) had alpha-glucosidase inhibitory activity. Corylifolinin and neobavaisoflavone had significantly effect of inhibiting SA, MRSA and ESBLs-SA (MIC 0. 781 3, 1.562, 5, 0.781 25 microg x disc(-1) and 6.25, 6.25, 6.25 microg x disc(-1).

Ionic liquid-based ultrasonic-assisted extraction coupled with HPLC to analyze isoquercitrin, trifolin and afzelin in Amygdalus persica L. flowers.

This study aimed to establish a method for the simultaneous determination of isoquercitrin, trifolin and afzelin in A. persica flowers by high performance liquid chromatography (HPLC) with ionic liquid as extractant and ultrasonic-assisted extraction. The effects of ionic liquid concentration, solid-liquid ratio, number of crushing mesh, ultrasonic time, extraction temperature, and ultrasonic power on the extraction yield of three target compounds were investigated using the extraction yield of target analytes as the index. According to the results of single factor experiment, the Box-Behnken design-response surface methodology (BBD) was used to optimize the extraction method and compared with the traditional extraction method. The results showed that, calibration curves had excellent linearity (R2 > 0.9990) within the test ranges. In combination with other validation data, this method demonstrated good reliability and sensitivity, and can be conveniently used for the quantification of isoquercitrin, trifolin and afzelinin A. persica flowers. And the contents of isoquercitrin, trifolin and afzelin were 64.08, 20.55 and 75.63 µg/g, respectively. The optimal process obtained by BBD was as follows: ionic liquid concentration was 1.0 mol/L, solid-liquid ratio was 1:40 g/ml, mesh sieve was 50 mesh, ultrasonic time was 40 min, extraction temperature was 50 °C, and ultrasonic power was 400 W. Under the optimal conditions, the theoretical predicted total extraction yield of the three target compounds was 159.77 µg/g, which was close to the actual extraction value (160.26 µg/g, n = 3), this result indicating that the optimal process parameters obtained by response surface methodology analysis were accurate and reliable. The method was simple, accurate and rapid for determination the contents of three active ingredients in A. persica flowers.

Structures and Biological Activities of Secondary Metabolites from the Trichoderma genus (Covering 2018-2022).

Trichoderma, a genus with more than 400 species, has a long history of use as an industrial bioreactor, biofertilizer, and biocontrol agent. It is considered a significant source of secondary metabolites (SMs) that possess unique structural features and a wide range of bioactivities. In recent years, numerous secondary metabolites of Trichoderma, including terpenoids, polyketides, peptides, alkaloids, and steroids, have been identified. Most of these SMs displayed antimicrobial, cytotoxic, and antifungal effects. This review focuses on the structural diversity, biological activities, and structure-activity relationships (SARs) of the SMs isolated from Trichoderma covered from 2018 to 2022. This study provides insights into the exploration and utilization of bioactive compounds from Trichoderma species in the agriculture or pharmaceutical industry.

Bioactive cytochalasans from the desert soil-derived fungus Chaetomium madrasense 375 obtained via a chemical engineering strategy.

The chemical engineering of natural extracts has emerged as an effective strategy for the production of diverse libraries of chemicals, making it integral to drug discovery. A chemical engineering strategy based on the epoxidation and ring-opening reactions was used to prepare diversity-enhanced extracts of Chaetomium madrasense 375. Eleven unnatural cytochalasan derivatives (1-11) with unique functional groups, such as amine and isoxazole, were isolated and characterized from these chemically engineered extracts of C. madrasense 375. The identification of these new structures was accomplished through comprehensive spectroscopic analysis, supplemented by synthetic considerations. Notably, compounds 5 and 13-16 displayed potent phytotoxic effects on Arabidopsis thaliana, while compounds 1, 2, 5, 10, and 12 demonstrated inhibitory activities on LPS-induced NO production in RAW264.7 cells. Among them, compound 1 was found to be able to inhibit the upregulated expression of the inducible nitric oxide synthase (iNOS) protein induced by LPS, while also decreasing the production of pro-inflammatory cytokines (IL-6) and influencing the phosphorylation of p38, ERK1/2, and JNK at 100 µM. Our findings demonstrate that the chemical engineering of natural product extracts can be an efficient technique for the generation of novel bioactive molecules.

Sushi-Repeat-Containing Protein X-Linked 2: A Potential Therapeutic Target for Inflammation and Cancer Therapy.

Accumulating evidence has showed that sushi-repeat-containing protein X-linked 2 (SRPX2) is an abnormal expression in a variety of cancers and involved in cancer carcinogenesis, chemosensitivity, and prognosis, which mainly promote cancer cell metastasis, invasion, and migration by regulating the uPAR/integrins/FAK signaling pathway, epithelial-mesenchymal transition (EMT), angiogenesis, and glycosylation. Inflammation has been regarded as a key role in regulating cancer initiation, progression, EMT, and therapeutics. Furthermore, SRPX2 exhibited excellent antifibrosis effect via the TGFßR1/SMAD3/SRPX2/AP1/SMAD7 signaling pathway. Therefore, this review provides compelling evidence that SRPX2 might be a therapeutic target for inflammation and cancer-related inflammation for future cancer therapeutics.

Diversified Polyketides With Anti-inflammatory Activities From Mangrove Endophytic Fungus Daldinia eschscholtzii KBJYZ-1.

In total, five new polyketide derivatives: eschscholin B (2), dalditone A and B (3 and 4), (1R, 4R)-5-methoxy-1,2,3,4-tetrahydronaphthalene-1,4-dio (5), and daldilene A (6), together with 10 known as analogs (1, 7-15) were isolated from the mangrove endophytic fungus Daldinia eschscholtzii KBJYZ-1. Their structures and absolute configurations were established by extensive analysis of NMR and HRESIMS spectra data combined with ECD calculations and the reported literature. Compounds 2 and 6 showed significant cell-based anti-inflammatory activities with IC50 values of 19.3 and 12.9 µM, respectively. In addition, western blot results suggested that compound 2 effectively inhibits the expression of iNOS and COX-2 in LPS-induced RAW264.7 cells. Further molecular biology work revealed the potential mechanism of 2 exerts anti-inflammatory function by inactivating the MAPK and NF-κB signaling pathways.