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1.
Anal Methods ; 2022 May 09.
Artigo em Inglês | MEDLINE | ID: mdl-35531866

RESUMO

An electrochemical biosensor based on few-layer molybdenum disulfide (MoS2) nanosheets was fabricated for the highly sensitive detection of tumor marker circulating tumor DNA (ctDNA) in this paper. The MoS2 nanosheets with few layers were prepared by the shear stripping. Compared with the mechanical stripping method and the lithium ion intercalation method, this method is simpler to operate, and the prepared MoS2 nanosheets had good electrochemical activity. The biosensing platform was fabricated based on the discriminative affinity of MoS2 nanosheets towards single-stranded DNA (ssDNA) and double-stranded DNA (dsDNA). Methylene blue (MB) was used as the signal molecule. The results showed that the detection of ctDNA by this sensor showed an excellent linear relationship in the concentration range of 1.0 × 10-7 M to 1.0 × 10-16 M, and the detection limit was 2.5 × 10-18 M. In addition, this sensor exhibited outstanding stability and specificity. This strategy provides an alternative approach for ctDNA detection and an effective sensing strategy for future in vitro cancer diagnosis by label-free detection.

2.
Chin J Nat Med ; 20(5): 321-331, 2022 May.
Artigo em Inglês | MEDLINE | ID: mdl-35551768

RESUMO

Abelmoschus manihot (L.) Medik. (A. manihot) is a traditional Chinese herbal medicine with a variety of pharmacological properties. It was first recorded in Jiayou Materia Medica dating back to the Song dynasty to eliminate urinary tract irritation by clearing away heat and diuretic effect. However, its pharmacological action on urinary tract infections has not been investigated. The present study aims to evaluate the anti-inflammatory activity of A. manihot on a mouse model of lipopolysaccharide (LPS)-induced cystitis. The results showed that A. manihot decreased white blood cell (WBC) count in urine sediments of the cystitis mice, alleviated bladder congestion, edema, as well as histopathological damage, reduced the expression levels of tumor necrosis factor-α, interleukin-6, and interleukin-1ß simultaneously. Moreover, A. manihot administration significantly downregulated the expression levels of TLR4, MYD88, IκBα, p-IκBα, NF-κB p65, and p-NF-κB p65 in LPS-induced cystitis mice. These findings demonstrated the protective effect of A. manihot against LPS-induced cystitis, which is attributed to its anti-inflammatory profile by suppressing TLR4/MYD88/NF-κB pathways. Our results suggest that A. manihot could be a potential candidate for cystitis treatment.

3.
Eur J Immunol ; 2022 May 07.
Artigo em Inglês | MEDLINE | ID: mdl-35524548

RESUMO

Human nasal mucosa is susceptible to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and serves as a reservoir for viral replication before spreading to other organs (e.g. the lung and brain) and transmission to other individuals. Chronic rhinosinusitis (CRS) is a common respiratory tract disease and there is evidence suggesting that susceptibility to SARS-CoV-2 infection differs between the two known subtypes, eosinophilic CRS and non-ECRS (NECRS). However, the mechanism of SARS-CoV-2 infection in the human nasal mucosa and its association with CRS has not been experimentally validated. In this study, we investigated whether the human nasal mucosa is susceptible to SARS-CoV-2 infection and how different endotypes of CRS impact on viral infection and progression. Primary human nasal mucosa tissue culture revealed highly efficient SARS-CoV-2 viral infection and production, with particularly high susceptibility in the NECRS group. The gene expression differences suggested that human nasal mucosa is highly susceptible to SARS-CoV-2 infection, presumably due to an increase in ACE2-expressing cells and a deficiency in antiviral immune response, especially for NECRS. Importantly, patients with NECRS may be at a particularly high risk of viral infection and transmission, and therefore, close monitoring should be considered.

4.
Adv Sci (Weinh) ; : e2201586, 2022 Apr 17.
Artigo em Inglês | MEDLINE | ID: mdl-35434936

RESUMO

Harvesting energy from natural water evaporation has been proposed as a promising alternative to supply power for self-powered and low-power devices and systems, owing to its spontaneous, ubiquitous, and sustainability. Herein, an approach is presented for harvesting water-evaporation-induced electricity based on liquid-solid triboelectric nanogenerators (LS-TENGs), which has various advantages of easy preparation, substrate needless, and robustness. This developed harvester with porous Al2 O3 ceramic sheet can generate a continuous and stable direct current of ≈0.3 µA and voltage of ≈0.7 V by optimizing the sheet physical dimensions and ambient parameters such as relative humidity, temperature, wind velocity, and ion concentration. The output power also can be improved significantly by series or parallel connection the harvesters, which has superior electrical compatibility and environmental suitability. The development of the water-evaporation-induced electricity harvesting shows many application prospects including power supply for digital calculator and charging capacitor. This research provides an in-depth experimental study on water-evaporation-induced electricity harvesting based on LS-TENGs and an efficient approach to supply electricity for low-power devices.

5.
Food Chem ; 387: 132869, 2022 Sep 01.
Artigo em Inglês | MEDLINE | ID: mdl-35417843

RESUMO

Due to the challenge of hundreds of potential mycotoxins that may be present in cereals, a rapid and reliable ultra-high performance liquid chromatography coupled with quadrupole-time-of-flight tandem mass spectrometry (UHPLC-Q-TOF MS) technique was developed for universal screening of 200 mycotoxins (prototype, emerging and related derivatives) in cereals. With satisfactory sensitivity of accurate mass full-spectrum acquisition, it is feasible to preliminarily identify tentative untargeted mycotoxins with a large range of polarity without reference materials. The current screening method was also validated by the determination of 33 typical mycotoxins, and the screening detection limits in the range of 0.5-100 µg kg-1 were established in cereals. In total, 138 stored samples were contaminated by 46 mycotoxins and their metabolites, some of which were firstly reported in cereals, posing emerging potential health risks to humans and animals. Furthermore, the accumulation, transformation and degradation mechanisms of typical mycotoxins in cereals were investigated under real storage conditions.


Assuntos
Micotoxinas , Animais , China , Cromatografia Líquida de Alta Pressão/métodos , Grão Comestível/química , Micotoxinas/análise , Espectrometria de Massas em Tandem
6.
Comput Math Methods Med ; 2022: 2864170, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35360550

RESUMO

Objective: To explore the value of artificial intelligence (AI) film reading system based on deep learning in the diagnosis of non-small-cell lung cancer (NSCLC) and the significance of curative effect monitoring. Methods: We retrospectively selected 104 suspected NSCLC cases from the self-built chest CT pulmonary nodule database in our hospital, and all of them were confirmed by pathological examination. The lung CT images of the selected patients were introduced into the AI reading system of pulmonary nodules, and the recording software automatically identified the nodules, and the results were compared with the results of the original image report. The nodules detected by the AI software and film readers were evaluated by two chest experts and recorded their size and characteristics. Comparison of calculation sensitivity, false positive rate evaluation of the NSCLC software, and physician's efficiency of nodule detection whether there was a significant difference between the two groups. Results: The sensitivity, specificity, accuracy, positive predictive rate, and false positive rate of NSCLC diagnosed by radiologists were 72.94% (62/85), 92.06% (58/63), 81.08% (62+58/148), 92.53% (62/67), and 7.93% (5/63), respectively. The sensitivity, specificity, accuracy, positive prediction rate, and false positive rate of AI film reading system in the diagnosis of NSCLC were 94.12% (80/85), 77.77% (49/63), 87.161% (80 + 49/148), 85.11% (80/94), and 22.22% (14/63), respectively. Compared with radiologists, the sensitivity and false positive rate of artificial intelligence film reading system in the diagnosis of NSCLC were higher (P < 0.05). The sensitivity, specificity, accuracy, positive prediction rate, and negative prediction rate of artificial intelligence film reading system in evaluating the efficacy of patients with NSCLC were 87.50% (63/72), 69.23% (9/13), 84.70% (63 + 9)/85, 94.02% (63/67), and 50% (9/18), respectively. Conclusion: The AI film reading system based on deep learning has higher sensitivity for the diagnosis of NSCLC than radiologists and can be used as an auxiliary detection tool for doctors to screen for NSCLC, but its false positive rate is relatively high. Attention should be paid to identification. Meanwhile, the AI film reading system based on deep learning also has a certain guiding significance for the diagnosis and treatment monitoring of NSCLC.


Assuntos
Carcinoma Pulmonar de Células não Pequenas , Aprendizado Profundo , Neoplasias Pulmonares , Inteligência Artificial , Carcinoma Pulmonar de Células não Pequenas/diagnóstico por imagem , Humanos , Neoplasias Pulmonares/diagnóstico por imagem , Neoplasias Pulmonares/patologia , Estudos Retrospectivos
7.
Adv Healthc Mater ; : e2102697, 2022 Mar 31.
Artigo em Inglês | MEDLINE | ID: mdl-35362224

RESUMO

Oxygen releasing biomaterials can facilitate the survival of living implants by creating environments with a viable oxygen level. Hydrophobic oxygen generating microparticles (HOGMPs) encapsulated calcium peroxide (CPO) have recently been used in tissue engineering to release physiologically relevant amounts of oxygen for several weeks. However, generating oxygen using CPO is mediated via the generation of toxic levels of hydrogen peroxide (H2 O2 ). The incorporation of antioxidants, such as catalases, can potentially reduce H2 O2 levels. However, the formulation in which catalases can most effectively scavenge H2 O2 within oxygen generating biomaterials has remained unexplored. In this study, three distinct catalase incorporation methods are compared based on their ability to decrease H2 O2 levels. Specifically, catalase is incorporated within HOGMPs, or absorbed onto HOGMPs, or freely laden into the hydrogel entrapping HOGMPs and compared with control without catalase. Supplementation of free catalase in an HOGMP-laden hydrogel significantly decreases H2 O2 levels reflecting a higher cellular viability and metabolic activity of all the groups. An HOGMP/catalase-laden hydrogel precursor solution containing cells is used as an oxygenating bioink allowing improved viability of printed constructs under severe hypoxic conditions. The combination of HOGMPs with a catalase-laden hydrogel has the potential to decrease peroxide toxicity of oxygen generating tissues.

8.
Theriogenology ; 184: 61-72, 2022 May.
Artigo em Inglês | MEDLINE | ID: mdl-35279534

RESUMO

Spermatogonial stem cells (SSCs) provide a foundation for spermatogenesis, but the mechanism of SSC proliferation is still poorly understood. To investigate whether and how ascorbic acid (AA) regulates the growth of mouse SSCs in vitro, the SSCs were cultured in different concentration AA medium for 14 days. The proliferation, apoptosis and the reactive oxygen species (ROS) levels of SSCs in different AA groups were respectively detected. Moreover, the SSC activity in 40 µg/mL AA group and the control was tested by a transplantation assay. To explore the mechanism of AA regulating mouse SSCs proliferation, the dishevelled homolog 2 (DVL2) and nucleoredoxin (NRX) protein levels, the expression of axis inhibition protein 2 (Axin2), leucine-rich G-protein coupled receptor 5 (Lgr5), B-cell lymphoma-2 (Bcl-2), BCL2-Associated X (Bax), c-myc and cyclin D1 genes in Wnt/ß-catenin pathway were respectively confirmed. The results showed that the adding concentration of AA did not affect the main shape of SSCs. A 40 µg/mL AA in culture medium promoted the proliferation, and decreased the ROS production and apoptosis rate of SSCs. Moreover, colonization efficiency in the seminiferous tubules of the recipient testis in 40 µg/mL AA group was higher compared with the control group by a transplantation assay. Finally, the appropriate ROS in the 40 µg/mL AA group further adjust the levels of DVL2 and NRX protein in the Wnt/ß-catenin pathway to maintain the nuclear intensity of ß-catenin, in turn, the expression of apoptosis gene Bax decreased, while the expression of Bcl2, Axin2, Lgr5, c-myc and cyclin D1 genes increased. The study confirmed that AA adjusts the endogenous ROS level to impact on SSC proliferation in a dose-dependent manner by Wnt/ß-catenin signaling pathway.


Assuntos
Ácido Ascórbico , beta Catenina , Animais , Ácido Ascórbico/farmacologia , Proliferação de Células/genética , Masculino , Camundongos , Espécies Reativas de Oxigênio/metabolismo , Via de Sinalização Wnt/genética , Proteína X Associada a bcl-2 , beta Catenina/genética , beta Catenina/metabolismo
9.
Environ Pollut ; 303: 119126, 2022 Jun 15.
Artigo em Inglês | MEDLINE | ID: mdl-35307497

RESUMO

Microplastics (MPs) have become a global concern as a key environmental pollutant. MPs are widely found in oceans, rivers, bottled water, plastic-packaged foods, and toiletries. The ocular surface is the exposed mucosal tissue, which comes in contact with MP particles contained in toiletries, tap water, cosmetics, and air. However, the effects of MPs on ocular surface health are still unclear. In this study, the toxic effects of polystyrene MPs (PS-MPs) on the ocular surface in vivo and in vitro were explored. The results demonstrated that 50 nm or 2 µm PS-MPs, following exposure for 48 h appeared in the cytoplasm of two kinds of eye cells in vitro and caused a concentration dependent reduction in cell viability, further causing oxidative stress and cell apoptosis. In addition, after treatment for 2 or 4 weeks, 50 nm and 2 µm PS-MPs were deposited in the conjunctival sac of mice. After 2 and 4 weeks of PS-MP treatment, the number of goblet cells in the lower eyelid conjunctival sac decreased to 65% and 40% of that in the control group, respectively. Moreover, dry eye like ocular surface damage and inflammation of conjunctiva and lacrimal gland in mice were observed. In conclusion, this study revealed that PS-MPs could cause ocular surface dysfunctions in mice, thus providing a new perspective for the toxic effects of MPs on ocular surface.


Assuntos
Microplásticos , Poluentes Químicos da Água , Animais , Camundongos , Microplásticos/toxicidade , Estresse Oxidativo , Plásticos/toxicidade , Poliestirenos/toxicidade , Poluentes Químicos da Água/toxicidade
10.
Artigo em Inglês | MEDLINE | ID: mdl-35259110

RESUMO

Among numerous functions performed by the human eye, reading is a common task that best reflects an individual's understanding and cognitive patterns. Previous studies showed that text comprehension may be determined by comprehension monitoring, a metacognitive process that evaluates and regulates the pattern of comprehension. Herein, we propose a hypothesis: an individual's cognitive pattern during reading is predictive of the level of reading comprehension. According to the criteria of the College English Test Band Six (CET-6), 80 participants (sophomore and junior) were divided into a pass group (n = 40) and a non-pass group (n = 40). Heatmaps of eye fixation counts were collected by an eye-tracker while each participant executed four reading comprehension tests. Using these heatmaps as inputs, we proposed the Siamese convolutional neural network models to predict the English level of participants. Both strategies of "Trained from scratch" and "Pretrained with fine-tuning" were employed. "Soft Voting" was applied to integrate the predictions from four tests. Results showed that the Siamese network model trained by the datasets with the cluster radius of fixation equal to 25 pixels and connection layer by L1 norm distance has a satisfactory or superior performance to other comparative experiments. The AUC values of Siamese networks trained by the two strategies reach 0.941 and 0.956, respectively. This indicates that the individual reading cognitive pattern captured by the eye-tracker can predict the level of reading comprehension through advanced deep learning models.


Assuntos
Compreensão , Leitura , Compreensão/fisiologia , Fixação Ocular , Humanos , Redes Neurais de Computação
11.
Front Plant Sci ; 13: 820585, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35283919

RESUMO

Aboveground biomass (AGB) and leaf area index (LAI) are important indicators to measure crop growth and development. Rapid estimation of AGB and LAI is of great significance for monitoring crop growth and agricultural site-specific management decision-making. As a fast and non-destructive detection method, unmanned aerial vehicle (UAV)-based imaging technologies provide a new way for crop growth monitoring. This study is aimed at exploring the feasibility of estimating AGB and LAI of mung bean and red bean in tea plantations by using UAV multispectral image data. The spectral parameters with high correlation with growth parameters were selected using correlation analysis. It was found that the red and near-infrared bands were sensitive bands for LAI and AGB. In addition, this study compared the performance of five machine learning methods in estimating AGB and LAI. The results showed that the support vector machine (SVM) and backpropagation neural network (BPNN) models, which can simulate non-linear relationships, had higher accuracy in estimating AGB and LAI compared with simple linear regression (LR), stepwise multiple linear regression (SMLR), and partial least-squares regression (PLSR) models. Moreover, the SVM models were better than other models in terms of fitting, consistency, and estimation accuracy, which provides higher performance for AGB (red bean: R 2 = 0.811, root-mean-square error (RMSE) = 0.137 kg/m2, normalized RMSE (NRMSE) = 0.134; mung bean: R 2 = 0.751, RMSE = 0.078 kg/m2, NRMSE = 0.100) and LAI (red bean: R 2 = 0.649, RMSE = 0.36, NRMSE = 0.123; mung bean: R 2 = 0.706, RMSE = 0.225, NRMSE = 0.081) estimation. Therefore, the crop growth parameters can be estimated quickly and accurately using the models established by combining the crop spectral information obtained by the UAV multispectral system using the SVM method. The results of this study provide valuable practical guidelines for site-specific tea plantations and the improvement of their ecological and environmental benefits.

12.
Front Big Data ; 5: 781309, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35237751

RESUMO

Chemical transport models (CTMs) are widely used for air quality forecasts, but these models require large computational resources and often suffer from a systematic bias that leads to missed poor air pollution events. For example, a CTM-based operational forecasting system for air quality over the Pacific Northwest, called AIRPACT, uses over 100 processors for several hours to provide 48-h forecasts daily, but struggles to capture unhealthy O3 episodes during the summer and early fall, especially over Kennewick, WA. This research developed machine learning (ML) based O3 forecasts for Kennewick, WA to demonstrate an improved forecast capability. We used the 2017-2020 simulated meteorology and O3 observation data from Kennewick as training datasets. The meteorology datasets are from the Weather Research and Forecasting (WRF) meteorological model forecasts produced daily by the University of Washington. Our ozone forecasting system consists of two ML models, ML1 and ML2, to improve predictability: ML1 uses the random forest (RF) classifier and multiple linear regression (MLR) models, and ML2 uses a two-phase RF regression model with best-fit weighting factors. To avoid overfitting, we evaluate the ML forecasting system with the 10-time, 10-fold, and walk-forward cross-validation analysis. Compared to AIRPACT, ML1 improved forecast skill for high-O3 events and captured 5 out of 10 unhealthy O3 events, while AIRPACT and ML2 missed all the unhealthy events. ML2 showed better forecast skill for less elevated-O3 events. Based on this result, we set up our ML modeling framework to use ML1 for high-O3 events and ML2 for less elevated O3 events. Since May 2019, the ML modeling framework has been used to produce daily 72-h O3 forecasts and has provided forecasts via the web for clean air agency and public use: http://ozonematters.com/. Compared to the testing period, the operational forecasting period has not had unhealthy O3 events. Nevertheless, the ML modeling framework demonstrated a reliable forecasting capability at a selected location with much less computational resources. The ML system uses a single processor for minutes compared to the CTM-based forecasting system using more than 100 processors for hours.

13.
Life (Basel) ; 12(3)2022 Feb 25.
Artigo em Inglês | MEDLINE | ID: mdl-35330093

RESUMO

Breast cancer has the highest cancer incidence rate in women. Early screening of breast cancer can effectively improve the treatment effect of patients. However, the main diagnostic techniques available for the detection of breast cancer require the corresponding equipment, professional practitioners, and expert analysis, and the detection cost is high. Tumor markers are a kind of active substance that can indicate the existence and growth of the tumor. The detection of tumor markers can effectively assist the diagnosis and treatment of breast cancer. The conventional detection methods of tumor markers have some shortcomings, such as insufficient sensitivity, expensive equipment, and complicated operations. Compared with these methods, biosensors have the advantages of high sensitivity, simple operation, low equipment cost, and can quantitatively detect all kinds of tumor markers. This review summarizes the biosensors (2013-2021) for the detection of breast cancer biomarkers. Firstly, the various reported tumor markers of breast cancer are introduced. Then, the development of biosensors designed for the sensitive, stable, and selective recognition of breast cancer biomarkers was systematically discussed, with special attention to the main clinical biomarkers, such as human epidermal growth factor receptor-2 (HER2) and estrogen receptor (ER). Finally, the opportunities and challenges of developing efficient biosensors in breast cancer diagnosis and treatment are discussed.

14.
Altern Ther Health Med ; 28(2): 109-115, 2022 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-35139492

RESUMO

BACKGROUND: One of the serious complications of severe acute pancreatitis (SAP) is acute lung injury (ALI). Suppressing inflammation is a feasible treatment strategy for SAP-induced ALI. Shenmai injection (SMI), which is a Traditional Chinese Medicine (TCM treatment, can suppress inflammation. Therefore, this study used an established SAP rat model to determine the effect of SMI on ALI induced by SAP. METHODS: A total of 40 male Sprague-Dawley (SD) rats were assigned to one of four groups: the SAP group, the sham surgery (SS) group, the SAP + SMI group and the SAP + SMI + zinc protoporphyrin (ZnPP) group. Rats in the SAP group were intravenously injected with 1.6 ml/kg saline 30 minutes after induction of SAP models, rats in the SAP + SMI group were intravenously injected with 1.6 ml/kg SMI, while rats in the SAP + SMI + ZnPP group were intravenously injected with 1.6 ml/kg SMI and 30 mg/kg ZnPP via intraperitoneal injection. The rates were sacrificed 24 hours after SAP induction. Excised lung tissues were histologically examined, protein concentration in bronchoalveolar lavage fluid (BALF) was measured and lung wet-to-dry (W/D) weight ratio was calculated. The protein and mRNA levels of tumor necrosis factor (TNF)-α, heme oxygenase (HO)-1 and interleukin (IL)-10 in blood and tissue samples were measured. RESULTS: SMI treatment attenuated SAP-induced ALI as evidenced by lower lung damage scores compared with the untreated SAP group (P < .05). SMI also abolished the SAP-induced rise in BALF and W/D ratio protein concentrations (P < .05). Moreover, SMI treatment increased HO-1 and IL-10 levels but decreased TNF-α levels in serum and tissue samples (P < .05). However, inhibition of HO-1 expression by ZnPP led to significant inhibition of all the changes. CONCLUSION: SMI can alleviate SAP-induced ALI through HO-1 upregulation.


Assuntos
Lesão Pulmonar Aguda , Pancreatite , Doença Aguda , Lesão Pulmonar Aguda/tratamento farmacológico , Animais , Combinação de Medicamentos , Medicamentos de Ervas Chinesas , Heme Oxigenase-1 , Masculino , Pancreatite/complicações , Pancreatite/tratamento farmacológico , Ratos , Ratos Sprague-Dawley , Fator de Necrose Tumoral alfa , Regulação para Cima
15.
BMC Microbiol ; 22(1): 55, 2022 02 14.
Artigo em Inglês | MEDLINE | ID: mdl-35164712

RESUMO

BACKGROUND: The rhizosphere is the narrow zone of soil immediately surrounding the root, and it is a critical hotspot of microbial activity, strongly influencing the physiology and development of plants. For analyzing the relationship between the microbiome and metabolome in the rhizosphere of tea (Camellia sinensis) plants, the bacterial composition and its correlation to soil metabolites were investigated under three different fertilization treatments (unfertilized, urea, cow manure) in different growing seasons (spring, early and late summer). RESULTS: The bacterial phyla Proteobacteria, Bacteroidetes, Acidobacteria and Actinobacteria dominated the rhizosphere of tea plants regardless of the sampling time. These indicated that the compositional shift was associated with different fertilizer/manure treatments as well as the sampling time. However, the relative abundance of these enriched bacteria varied under the three different fertilizer regimes. Most of the enriched metabolic pathways stimulated by different fertilizer application were all related to sugars, amino acids fatty acids and alkaloids metabolism. Organic acids and fatty acids were potential metabolites mediating the plant-bacteria interaction in the rhizosphere. Bacteria in the genera Proteiniphilum, Fermentimonas and Pseudomonas in spring, Saccharimonadales and Gaiellales in early summer, Acidobacteriales and Gaiellales in late summer regulated relative contents of organic and fatty acids. CONCLUSION: This study documents the profound changes to the rhizosphere microbiome and bacterially derived metabolites under different fertilizer regimes and provides a conceptual framework towards improving the performance of tea plantations.


Assuntos
Camellia sinensis/microbiologia , Esterco/análise , Microbiota/genética , Rizosfera , Microbiologia do Solo , Agricultura , Animais , Bactérias/classificação , Bactérias/genética , Bovinos , Metaboloma , Microbiota/fisiologia , Solo/química
16.
Mol Nutr Food Res ; : e2100772, 2022 Feb 28.
Artigo em Inglês | MEDLINE | ID: mdl-35225418

RESUMO

SCOPE: Obesity is becoming a major public health problem due to excess dietary fat intake. Dendrobium officinale (D. officinale) is a medicine food homology plant and exerts multiple health-promoting effects. However, its antiobesity effects and the potential mechanisms remain unclear. METHODS AND RESULTS: High-fat diet (HFD)-fed mice are administered D. officinale dietary fiber (DODF) daily by gavage for 11 weeks. The results show that treatment with DODF alleviates obesity, liver steatosis, inflammation, and oxidant stress in HFD-induced obese mice. Improved glucose homeostasis in obese mice after DODF treatment is achieved by enhancing insulin pathway and hepatic glycogen synthesis. DODF restructures the gut microbiota in obese mice by decreasing the relative abundance of Bilophila and increasing the relative abundances of Akkermansia, Bifidobacterium, and Muribaculum. Also, DODF reshapes the metabolic phenotype of obese mice as indicated by up-regulating energy metabolism, increasing acetate and taurine, and reducing serum low density/very low density lipoproteins (LDL/VLDL). These beneficial effects are partly transferred by FMT, implying the gut microbiota as a target for the protective effect of DODF on obesity-related symptoms. CONCLUSION: The results suggest that DODF can be used as a novel prebiotics to maintain the gut microbial homeostasis and improve metabolic health, preventing obesity and related metabolic syndrome.

17.
Curr Med Sci ; 42(1): 77-84, 2022 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-35089492

RESUMO

OBJECTIVE: Although the effect of decitabine on myelodysplastic syndrome (MDS) has been demonstrated, merely a proportion of patients respond to therapy, and no well-recognized predictors have been identified. This study was conducted to investigate the effectiveness of decitabine in real-world clinical practice, and determine the predictive factors of response and overall survival (OS) in MDS patients. METHODS: Clinical and pathological data were collected from 94 patients and analyzed. These patients were reclassified according to the 2016 World Health Organization classification criteria, and restratified by International Prognostic Scoring System prognostic scores. The response evaluation was performed according to the 2006 modified International Working Group response criteria. RESULTS: In this study, 62% of patients responded to decitabine. Among these patients, 15 patients (16%) obtained complete remission (CR), 15 patients (16%) obtained marrow CR with hematologic improvement (HI), 20 patients (21%) obtained marrow CR without HI, and 8 patients (9%) only obtained HI, and no patient botained partial remission. The OS of the responders was significantly longer than that of non-responders (67 months vs. 7 months, P<0.001). The OS in patients with and without platelet doubling was significantly different in both the low/intermediate and high/very high risk groups (P=0.0398 and P=0.0330). The multivariate analysis revealed that platelet doubling after the first decitabine cycle is an independent predictor of response and OS in MDS patients (P=0.002 and P=0.008). CONCLUSION: Decitabine is effective for treating MDS patients in real-world clinical practice. Furthermore, platelet doubling after the first decitabine cycle can be used as a predictor of response and survival in MDS patients.


Assuntos
Antimetabólitos Antineoplásicos/farmacologia , Plaquetas/efeitos dos fármacos , Decitabina/farmacologia , Síndromes Mielodisplásicas/tratamento farmacológico , Avaliação de Resultados em Cuidados de Saúde , Idoso , Antimetabólitos Antineoplásicos/administração & dosagem , Decitabina/administração & dosagem , Feminino , Humanos , Masculino , Prognóstico
19.
Ann Palliat Med ; 11(2): 466-479, 2022 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-34775770

RESUMO

BACKGROUND: This study aims to explore whether Fufang Shatai Heji (STHJ), as a mixture collected by a decoction of a variety of Chinese herbal medicines for immune system diseases, can improve the cartilage destruction of rheumatoid arthritis (RA). METHODS: The therapeutic effects of STHJ were studied using collagen induced arthritis (CIA) mice. The improvement effect of STHJ on synovitis and cartilage damage caused by arthritis was studied by joint pathological analysis. The inhibitory effect of STHJ on related degradation enzymes in cartilage was studied by immunohistochemistry and real-time polymerase chain reaction (PCR). The specific targets of STHJ were predicted by molecular docking. RESULTS: After successfully inducing CIA, the paws of the mice showed significant swelling, and athological analysis of the ankle and knee joints also showed significant cartilage destruction and synovial hyperplasia. However, synovial hyperplasia and cartilage destruction were markedly alleviated after administration of STHJ. And after STHJ treatment, the expression of ADAMTS-4, ADAMTS-5, MMP-9 and MMP-13, in the cartilage layer of CIA mice was significantly inhibited. Through molecular docking assays, we proved that acteoside in STHJ could directly bind to the Glu111, Phe110 residues in MMP-9 and glycyrrhizic acid in STHJ bind to the Glu382, Asn433 residues in MMP-13. CONCLUSIONS: Our results suggested that STHJ may alleviate synovial hyperplasia and cartilage destruction in CIA mice and protect cartilage by inhibiting the expression of MMP-9 and other enzymes.


Assuntos
Artrite Experimental , Medicamentos de Ervas Chinesas , Animais , Artrite Experimental/tratamento farmacológico , Artrite Experimental/patologia , Cartilagem/metabolismo , Cartilagem/patologia , Medicamentos de Ervas Chinesas/farmacologia , Medicamentos de Ervas Chinesas/uso terapêutico , Metaloproteinases da Matriz/metabolismo , Metaloproteinases da Matriz/farmacologia , Metaloproteinases da Matriz/uso terapêutico , Camundongos , Simulação de Acoplamento Molecular
20.
J Sci Food Agric ; 102(4): 1540-1549, 2022 Mar 15.
Artigo em Inglês | MEDLINE | ID: mdl-34424545

RESUMO

BACKGROUND: Accurate and efficient evaluation of the effect of nitrogen application rate on tea quality is of great significance for nitrogen management in a tea garden. However, previous methods were all through soil or leaf sampling, using biochemical methods for laboratory testing. These methods are not only less one-time detection samples, but also time-consuming, laborious and inefficient. Therefore, the development of fast, efficient and non-destructive diagnostic methods is an important goal in this field. RESULTS: We obtained spectral information on the tea canopy using a multispectral camera carried by an unmanned aerial vehicle (UAV), and extracted the average DN value of the experimental plot by environmental visual imagery (ENVI); we finally obtained 28 spectral parameters. By analyzing the correlation between spectral parameters and ground parameters measured synchronously, five spectral parameters with high correlation were selected. Finally, the prediction models of tea nitrogen, polyphenol and amino acid content were established by using support vector machine (SVM), partial least squares and backpropagation neural network. Through modeling comparison and coefficient verification, the results show that the ground parameters measured in the laboratory were in good agreement with the results estimated by the model. The SVM model had the best performance in predicting nitrogen and tea polyphenol content, with R2  = 0.7583 and 0.7533, root mean square error of prediction (RMSEP) = 0.4086 and 0.3392, and normalized RMSEP (NRMSEP) = 1.23 and 1.28, respectively. The partial least squares regression model had the best performance in predicting amino acid content, with R2  = 0.7597, RMSEP = 0.1176 and NRMSEP = 4.10. CONCLUSION: The results show that the model based on UAV image data and machine learning algorithm can effectively detect the main biochemical components of the tea plant, which provides an important basis for tea garden management. © 2021 Society of Chemical Industry.


Assuntos
Camellia sinensis , Nitrogênio , Análise dos Mínimos Quadrados , Nitrogênio/análise , Solo , Chá
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