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1.
Comput Math Methods Med ; 2022: 1771617, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36045946

RESUMO

There are many problems in the practical application of landscape lighting design. In order to solve these problems more specifically, based on the relevant theories of interactive genetic algorithm, radial basis function and hesitation degree are introduced into genetic algorithm. Through the analysis and processing of the data to get the optimized interactive genetic algorithm, the algorithm can analyze and optimize the landscape lighting design. Based on this model, the lighting design can be predicted and analyzed, and the prediction result is relatively good. Relevant studies show that the interactive genetic algorithm can be divided into three typical change stages according to the different results of intensity calculation, of which the first stage mainly presents the trend of gradual decline. The fluctuation phenomenon is obvious in the second paragraph. The third paragraph shows a gradual increasing trend of change. The corresponding relationship between the two fitness functions is obvious. With the increase of experts in independent variables, the corresponding fitness values show a trend of gradual decline on the whole. Through the calculation and analysis of five different indicators of landscape lighting by using interactive genetic algorithm, it can be seen that electrification has a relatively small impact on landscape lighting. The results of intelligent and environmental protection calculation are relatively high, and the corresponding range of change is relatively large, which shows that these two indicators are very important for improving the lighting design level of landscape. Finally, the model is verified by comparing data and model curves. Interactive genetic algorithm is very important to improve the lighting design of landscape, and the optimization model can be widely used in other fields.


Assuntos
Algoritmos , Iluminação , Humanos , Iluminação/métodos
2.
Food Funct ; 2022 Sep 02.
Artigo em Inglês | MEDLINE | ID: mdl-36053223

RESUMO

The consumption of mixed nuts is a healthy dietary strategy to reduce the risk of cardiovascular disease and has a prebiotic effect on the gut microbiota. However, there is a lack of basic research based on mixed nut formulation. This study established a new method for optimizing mixed nut formulations using the Nutrient Rich Food (NRF) index model. Nutrient indices were adjusted by combining 10 and 8 encouraging nutrients and 3 limiting nutrients of nuts and dried fruits, respectively. The optimized mixed nut formulation had the highest total NRF and the lowest energy, which was achieved by applying linear programming. The effect of an optimized mixed nut formulation on insulin resistance and gut microbiota was investigated in an animal model of metabolic disorders caused by a high-fat diet. Male C57BL/6J mice (n = 12 per group) were fed a low-fat diet, a high-fat diet (HFD), HFD with a supplemented classical randomized controlled trial mixed nut formula (MN1), a commercially available mixed nut formula (MN2), a high-nutrient density mixed nut formula (MN3), or ellagic acid (positive control). MN3 treatment decreased total plasma cholesterol, homeostasis model assessment-insulin resistance index, high sensitivity C-reactive protein, and zonulin levels, strengthened the intestinal barrier, and significantly altered the ß-diversity of the intestinal microbiota as compared to the HFD group. These effects of MN3 were superior to MN1 and MN2. In conclusion, MN3 had the highest nutrient density and improved insulin resistance in low-grade inflammation via gut microbiota remodeling.

3.
RSC Adv ; 12(36): 23578-23583, 2022 Aug 16.
Artigo em Inglês | MEDLINE | ID: mdl-36090431

RESUMO

Due to the limited electrode structure types of current CH3NH3PbCl3 perovskite single crystal photodetectors, these devices either have good performance but small active area or have large active area but poor performance, which greatly limits their applications. To realize a high performance of a CH3NH3PbCl3 perovskite single crystal photodetector with a large active area, a CH3NH3PbCl3 single crystal photodetector with asymmetrical Schottky interdigital contacts originating from planar interdigital Au-Ag electrodes was fabricated in this work. The device not only had a large active area (around 8 mm2) but also showed excellent photoelectric performance due to its built-in electric field. The responsivity of the device can reach 5.8 mA W-1 at 0 V and 0.24 A W-1 at 30 V reverse voltage. The response time of the device can reach 317 µs (rise)/6.82 ms (decay) at 0 V and 100 µs (rise)/2 ms (decay) at 30 V reverse voltage. The above results demonstrate that this study will provide an effective method for realizing high performance of a CH3NH3PbCl3 perovskite single crystal photodetector with a large active area.

4.
Front Pediatr ; 10: 890147, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36061388

RESUMO

Proximal renal tubular acidosis (pRTA) with ocular abnormalities is an autosomal recessive disease caused by variants in the Solute Carrier Family 4 Member 4 (SLC4A4) gene. Patients present with metabolic acidosis and low plasma bicarbonate concentration (3∼17 mmol/L). In addition, they are often accompanied by ocular abnormalities, intellectual disability, and growth retardation. The patient underwent whole exome sequencing (WES) and bioinformatics analysis of variant pathogenicity in this study. Then, a minigene assay was conducted to analyze the splicing site variant further. Compound heterozygous variants in the SLC4A4 gene (NM_003759.3), c.145C > T (p.Arg49*) and c.1499 + 1G > A, were detected by WES. The minigene assay showed an mRNA splicing aberration caused by the c.1499 + 1G > A variant. Compared with the wild type, the mutant type caused 4-base insertion between exons 10 and 11 of SLC4A4 after expression in HEK293 cells. In conclusion, the c.1499 + 1G > A variant in the SLC4A4 gene may be one of the genetic causes in the patient. Moreover, our study provides the foundation for future gene therapy of such pathogenic variants.

5.
J Hazard Mater ; 439: 129674, 2022 10 05.
Artigo em Inglês | MEDLINE | ID: mdl-36104903

RESUMO

Antibiotic mixtures in the environment result in the development of bacterial strains with resistance against multiple antibiotics. Oxidases are versatile that can bio-remove antibiotics. Various laccases (LACs), manganese peroxidases (MNPs), and versatile peroxidase (VP) were reconstructed in Pichia pastoris. For the single antibiotics, over 95.0% sulfamethoxazole within 48 h, tetracycline, oxytetracycline, and norfloxacin within 96 h were bio-removed by recombinant VP with α-signal peptide, respectively. In a mixture of the four antibiotics, 80.2% tetracycline and 95.6% oxytetracycline were bio-removed by recombinant MNP2 with native signal peptide (NSP) within 8 h, whereas < 80.0% sulfamethoxazole was bio-removed within 72 h, indicating that signal peptides significantly impacted removal efficiencies of antibiotic mixtures. Regarding mediators for LACs, 2,2'-azino-bis-(3-ethylbenzothiazoline-6-sulfonic acid) resulted in better removal efficiencies of multi-antibiotic mixtures than 1-hydroxybenzotriazole or syringaldehyde. Furthermore, artificial microbial consortia (AMC) producing LAC2 and MNP2 with NSP significantly improved bio-removal efficiency of sulfamethoxazole (95.5%) in four-antibiotic mixtures within 48 h. Tetracycline and oxytetracycline were completely bio-removed by AMC within 48 and 72 h, respectively, indicating that AMC accelerated sulfamethoxazole, tetracycline, and oxytetracycline bio-removals. Additionally, transformation pathways of each antibiotic by recombinant oxidases were proposed. Taken together, this work provides a new strategy to simultaneously remove antibiotic mixtures by AMC.


Assuntos
Antibacterianos , Oxitetraciclina , Antibacterianos/metabolismo , Biotransformação , Lacase/metabolismo , Consórcios Microbianos , Sinais Direcionadores de Proteínas , Sulfametoxazol , Tetraciclina
6.
Environ Res ; 215(Pt 1): 114220, 2022 Aug 29.
Artigo em Inglês | MEDLINE | ID: mdl-36049508

RESUMO

BACKGROUND: Indoor air pollution (IAP) exposure and psychological status have been recognized as important risk factors for adverse pregnancy outcomes, but their mediating effects on recurrent spontaneous abortion (RSA) have not been analyzed. Therefore, the purpose of this study is to explore the association between IAP and RSA and to examine the mediating effect of psychological status on their association. METHODS: This study included 830 RSA cases and 2156 controls in Gansu province, China. The Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS) questionnaires were used to collect information on participants' psychological status. The IAP exposure was collected by the survey on cooking fuel use, kitchen ventilation characteristics, cooking styles, and indoor smoking, etc. Multivariable logistic regression was used to examine the associations between IAP exposure and RSA. The mediation analysis was used to evaluate the mediation effects of IAP and psychological status on RSA while controlling for confounding. RESULTS: Among these cases, 16.87% cooked with unclean cooking fuel (UCF) and 37.00% lacked cooking ventilation, which was much higher than the controls. Active smoking and the use of UCF were associated with RSA, with an odds ratio (OR) of 3.374 [95% confidence interval (CI): 1.510-7.541] and 1.822 (95% CI: 1.328-2.500), respectively. We found that the use of a range hood was a protective factor for RSA, with an OR of 0.590 (95% CI: 0.463-0.752). There was a significant mediation effect of depression on the association between IAP and RSA, which accounted for 5.61%-9.22% of the total effect of IAP on RSA. CONCLUSION: The IAP may be an important risk factor for RSA, which may be intensified by the poor psychological status, and the use of ventilation equipment when cooking is a protective factor for RSA.

7.
PLoS One ; 17(9): e0273498, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36094934

RESUMO

OBJECTIVE: In this study, we used network pharmacology to explore the possible therapeutic mechanism underlying the treatment of diabetic nephropathy with Yishen capsules. METHODS: The active chemical constituents of Yishen capsules were acquired using the Traditional Chinese Medicine Systems Pharmacology platform and the Encyclopedia of Traditional Chinese Medicine. Component target proteins were then searched and screened in the BATMAN database. Target proteins were cross-validated using the Comparative Toxicogenomics Database, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses of the target proteins were performed. Then, protein-protein interaction (PPI) analysis was performed using the STRING database. Finally, a pharmacological network was constructed to show the component-target-pathway relationships. Molecular docking was used to analyse the interaction between drug components and target proteins. RESULTS: In total, 285 active chemical components were found, including 85 intersection targets against DN. In the pharmacological network, 5 key herbs (A. membranaceus, A. sinensis, E. ferox, A. orientale, and R. rosea) and their corresponding 12 key components (beta-sitosterol, beta-carotene, stigmasterol, alisol B, mairin, quercetin, caffeic acid, 1-monolinolein, kaempferol, jaranol, formononetin, and calycosin) were screened. Furthermore, the 12 key components were related to 24 target protein nodes (e.g., AGT, AKT1, AKT2, BCL2, NFKB1, and SIRT1) and enriched in 24 pathway nodes (such as the NF-kappa B, AGE-RAGE, toll-like receptor, and relaxin signaling pathways). Molecular docking revealed that hydrogen bond was formed between drug components and target proteins. CONCLUSION: In conclusion, the active constituents of Yishen capsules modulate targets or signaling pathways in DN pathogenesis.


Assuntos
Diabetes Mellitus , Nefropatias Diabéticas , Cápsulas , Nefropatias Diabéticas/tratamento farmacológico , Medicamentos de Ervas Chinesas , Humanos , Simulação de Acoplamento Molecular , Farmacologia em Rede
8.
Bioinformatics ; 38(Supplement_2): ii106-ii112, 2022 Sep 16.
Artigo em Inglês | MEDLINE | ID: mdl-36124788

RESUMO

MOTIVATION: Synthetic lethality (SL) is a type of genetic interaction in which the simultaneous inactivation of two genes leads to cell death, while the inactivation of a single gene does not affect the cell viability. It can effectively expand the range of anti-cancer therapeutic targets. SL interactions are identified mainly by experimental screening and computational prediction. Recent machine-learning methods mostly learn the representation of each gene individually, ignoring the representation of the pairwise interaction between two genes. In addition, the mechanisms of SL, the key to translating SL into cancer therapeutics, are often unclear. RESULTS: To fill the gaps, we propose a pairwise interaction learning-based graph neural network (GNN) named PiLSL to learn the representation of pairwise interaction between two genes for SL prediction. First, we construct an enclosing graph for each pair of genes from a knowledge graph. Secondly, we design an attentive embedding propagation layer in a GNN to discriminate the importance among the edges in the enclosing graph and to learn the latent features of the pairwise interaction from the weighted enclosing graph. Finally, we further fuse the latent features with explicit features extracted from multi-omics data to obtain powerful gene representations for SL prediction. Extensive experimental results demonstrate that PiLSL outperforms the best baseline by a large margin and generalizes well under three realistic scenarios. Besides, PiLSL provides an explanation of SL mechanisms via the weighted paths in the enclosing graphs by attention mechanism. AVAILABILITY AND IMPLEMENTATION: Our source code is available at https://github.com/JieZheng-ShanghaiTech/PiLSL.

9.
Bioinformatics ; 38(Supplement_2): ii13-ii19, 2022 Sep 16.
Artigo em Inglês | MEDLINE | ID: mdl-36124790

RESUMO

MOTIVATION: Detecting synthetic lethality (SL) is a promising strategy for identifying anti-cancer drug targets. Targeting SL partners of a primary gene mutated in cancer is selectively lethal to cancer cells. Due to high cost of wet-lab experiments and availability of gold standard SL data, supervised machine learning for SL prediction has been popular. However, most of the methods are based on binary classification and thus limited by the lack of reliable negative data. Contrastive learning can train models without any negative sample and is thus promising for finding novel SLs. RESULTS: We propose NSF4SL, a negative-sample-free SL prediction model based on a contrastive learning framework. It captures the characteristics of positive SL samples by using two branches of neural networks that interact with each other to learn SL-related gene representations. Moreover, a feature-wise data augmentation strategy is used to mitigate the sparsity of SL data. NSF4SL significantly outperforms all baselines which require negative samples, even in challenging experimental settings. To the best of our knowledge, this is the first time that SL prediction is formulated as a gene ranking problem, which is more practical than the current formulation as binary classification. NSF4SL is the first contrastive learning method for SL prediction and its success points to a new direction of machine-learning methods for identifying novel SLs. AVAILABILITY AND IMPLEMENTATION: Our source code is available at https://github.com/JieZheng-ShanghaiTech/NSF4SL. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

10.
Br J Ophthalmol ; 2022 Sep 08.
Artigo em Inglês | MEDLINE | ID: mdl-36126104

RESUMO

PURPOSE: To describe an artificial intelligence platform that detects thyroid eye disease (TED). DESIGN: Development of a deep learning model. METHODS: 1944 photographs from a clinical database were used to train a deep learning model. 344 additional images ('test set') were used to calculate performance metrics. Receiver operating characteristic, precision-recall curves and heatmaps were generated. From the test set, 50 images were randomly selected ('survey set') and used to compare model performance with ophthalmologist performance. 222 images obtained from a separate clinical database were used to assess model recall and to quantitate model performance with respect to disease stage and grade. RESULTS: The model achieved test set accuracy of 89.2%, specificity 86.9%, recall 93.4%, precision 79.7% and an F1 score of 86.0%. Heatmaps demonstrated that the model identified pixels corresponding to clinical features of TED. On the survey set, the ensemble model achieved accuracy, specificity, recall, precision and F1 score of 86%, 84%, 89%, 77% and 82%, respectively. 27 ophthalmologists achieved mean performance of 75%, 82%, 63%, 72% and 66%, respectively. On the second test set, the model achieved recall of 91.9%, with higher recall for moderate to severe (98.2%, n=55) and active disease (98.3%, n=60), as compared with mild (86.8%, n=68) or stable disease (85.7%, n=63). CONCLUSIONS: The deep learning classifier is a novel approach to identify TED and is a first step in the development of tools to improve diagnostic accuracy and lower barriers to specialist evaluation.

11.
Inorg Chem ; 61(37): 14880-14886, 2022 Sep 19.
Artigo em Inglês | MEDLINE | ID: mdl-36054831

RESUMO

In order to meet the growing needs for the laser technology and optics industries, the goal is to find suitable fundamental building blocks with large nonlinear-optical (NLO) coefficients and birefringence for an excellent-performance NLO or birefringent system. Via preliminary investigations and calculations, it has been found that the planar π-conjugated group (C9H5O6)- possesses large polarizability anisotropy (δ) and hyperpolarizability (ßmax), comparable to well-known groups such as (B3O6)3-, (C3N3O3)3-, etc. Herein, we report a new alkali-metal 3,5-dicarboxybenzoate, KC9H5O6(H2O) (KH2BTC), which crystallized in the acentric space group Pna21. Second-harmonic-generation (SHG) measurements of KH2BTC under 1064 nm laser radiation show that the SHG response of KH2BTC is 1.2 times that of KDP with type I phase-matching behavior. Birefringence measurements show that KH2BTC owns a large birefringence of about 0.372 at 550 nm. The band gap of KH2BTC obtained by ultraviolet (UV) diffuse-reflectance spectroscopy is 3.91 eV, indicating that KH2BTC has potential applications as UV NLO or birefringent materials. Theoretical calculation further confirmed that the impressive optical properties of KH2BTC are derived from the large polarizability anisotropy of the (C9H5O6)- anions.

13.
Ann Transl Med ; 10(16): 897, 2022 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-36110993

RESUMO

Background: Whether the decline of hepatitis B virus (HBV) RNA was associated with antiviral efficacy in chronic hepatitis B (CHB) patients receiving long-term nucleos(t)ide analogues (NAs) therapy remains unclear. We observed the levels of serum HBV RNA in CHB patients treated with entecavir (ETV) for 10 years and explored the clinical significance of HBV RNA during long-term antiviral treatment. Methods: A total of 33 hepatitis B surface antigen (HBsAg)-positive CHB patients treated with ETV for up to 10 years were recruited for this study. Liver function, HBsAg, hepatitis B envelope antigen (HBeAg), HBV DNA, and HBV RNA were measured at the baseline and each follow-up points. Antiviral efficacy was defined as negative HBV DNA (<20 IU/mL) and HBV RNA (<300 Copies/mL). Results: (I) Serum HBV DNA and HBV RNA declined with the duration of antiviral treatment over 10 years (P<0.001). (II) There were positive correlations between serum HBV DNA and HBV RNA at each follow-up point (r=0.62 and P<0.001 at baseline, r=0.77 and P<0.001 at week 24, r=0.71 and P<0.001 at week 48, r=0.81 and P<0.001 at week 96, r=0.60 and P<0.01 at year 5 and r=0.77 and P<0.001 at year 10). (III) HBeAg and HBsAg levels at baseline and 10th year after ETV treatment have significant difference (P<0.05 and P<0.01). (IV) The decline of HBV RNA after ETV treatment was associated with HBeAg seroconversion, the area under the ROC curves (AUROCs) of the declines of HBV RNA were 0.25 at the baseline, 0.62 at week 24, 0.78 at week 48 and 0.86 at week 96, respectively. (V) The decline of HBV RNA after ETV treatment was associated with antiviral efficacy, the AUROCs of the declines of HBV RNA were 0.33 at the baseline, 0.74 at week 24, 0.83 at week 48 and 0.86 at week 96, respectively. Conclusions: Serum HBV DNA and HBV RNA declined with the duration of antiviral treatment over 10 years. The decline of HBV RNA was associated with HBeAg seroconversion and antiviral efficacy in CHB patients receiving long-term ETV therapy, and the earliest prediction point was week 24.

14.
NPJ Digit Med ; 5(1): 124, 2022 Aug 23.
Artigo em Inglês | MEDLINE | ID: mdl-35999467

RESUMO

Respiratory diseases impose a tremendous global health burden on large patient populations. In this study, we aimed to develop DeepMRDTR, a deep learning-based medical image interpretation system for the diagnosis of major respiratory diseases based on the automated identification of a wide range of radiological abnormalities through computed tomography (CT) and chest X-ray (CXR) from real-world, large-scale datasets. DeepMRDTR comprises four networks (two CT-Nets and two CXR-Nets) that exploit contrastive learning to generate pre-training parameters that are fine-tuned on the retrospective dataset collected from a single institution. The performance of DeepMRDTR was evaluated for abnormality identification and disease diagnosis on data from two different institutions: one was an internal testing dataset from the same institution as the training data and the second was collected from an external institution to evaluate the model generalizability and robustness to an unrelated population dataset. In such a difficult multi-class diagnosis task, our system achieved the average area under the receiver operating characteristic curve (AUC) of 0.856 (95% confidence interval (CI):0.843-0.868) and 0.841 (95%CI:0.832-0.887) for abnormality identification, and 0.900 (95%CI:0.872-0.958) and 0.866 (95%CI:0.832-0.887) for major respiratory diseases' diagnosis on CT and CXR datasets, respectively. Furthermore, to achieve a clinically actionable diagnosis, we deployed a preliminary version of DeepMRDTR into the clinical workflow, which was performed on par with senior experts in disease diagnosis, with an AUC of 0.890 and a Cohen's k of 0.746-0.877 at a reasonable timescale; these findings demonstrate the potential to accelerate the medical workflow to facilitate early diagnosis as a triage tool for respiratory diseases which supports improved clinical diagnoses and decision-making.

15.
Front Aging Neurosci ; 14: 975711, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36004000

RESUMO

Background: The proportion of the world's elderly population continues to rise, and the treatment and improvement of neurodegenerative diseases have become issue of public health importance as people live longer and many countries have aging populations. This systematic review aims to discuss the effects of dance movement therapy (DMT) on motor function, cognitive deficit, mood, and quality of life in people with neurodegenerative diseases, such as Parkinson's disease (PD), mild cognitive impairment (MCI), Alzheimer's disease (AD). Methods: Two reviewers independently conducted systematic search on the Cochrane library, PubMed database, Web of Science Core Collection database, and Physiotherapy Evidence database until February 1, 2022. Only systematic analyses and randomized controlled trials were included and further analyzed. Results: Thirty-three studies on PD, 16 studies on MCI, 4 studies on AD were obtained. This systematic review found that DMT substantially improved the global cognitive function, memory, and executive function on the population with MCI. Compared with the non-dance group, DMT remarkably improved general disease condition, balance, and gait for individuals with PD. The evidence of the efficacy of DMT on AD is insufficient, and further research is needed. Conclusion: DMT can effectively improve the motor function and cognitive deficits in neurodegenerative diseases. Positive effects of DMT on the mood and quality of life in ND patients are controversial and require further evidence. Future research on the effects of DMT on AD requires scientific design, large sample size, long-term comprehensive intervention, and clear reporting standards. Systematic review registration: www.osf.io/wktez, identifier: 10.17605/OSF.IO/UYBKT.

16.
Animals (Basel) ; 12(16)2022 Aug 11.
Artigo em Inglês | MEDLINE | ID: mdl-36009642

RESUMO

The domestic rabbit (Oryctolagus cuniculus f. domesticus) is a very important variety in biomedical research and agricultural animal breeding. Due to the different geographical areas in which rabbit breeds originated, and the long history of domestication/artificial breeding, rabbits have experienced strong selection pressure, which has shaped many traits of most rabbit varieties, such as color and weight. An efficient genome-wide single-nucleotide polymorphism (SNP) detection strategy is genotyping-by-sequencing (GBS), which has been widely used in many organisms. This study attempted to explore bi-allelic SNPs associated with fur color and weight-related traits using GBS in five rabbit breeds. The data consisted of a total 831,035 SNPs in 150 individuals from Californian rabbits (CF), German Zika rabbits (ZK), Qixing rabbits (QX), Sichuan grey rabbits (SG), and Sichuan white rabbits (SW). In addition, these five breeds of rabbits were obviously independent populations, with high genetic differentiation among breeds and low genetic diversity within breeds. A total of 32,144 SNP sites were identified by selective sweep among the different varieties. The genes that carried SNP loci in these selected regions were related to important traits (fur color and weight) and signal pathways, such as the MAPK/ERK signaling pathway and the Hippo signaling pathway. In addition, genes related to fur color and weight were identified, such as ASIPs, MITFs and KITs, ADCY3s, YAPs, FASs, and ACSL5s, and they had more SNP sites. The research offers the foundation for further exploration of molecular genetic markers of SNPs that are related to traits.

17.
Small ; : e2203899, 2022 Aug 22.
Artigo em Inglês | MEDLINE | ID: mdl-35996809

RESUMO

The design of new remediation strategies and materials for treating saline-alkaline soils is of fundamental and practical importantance for many applications. Conventional soil remediation strategies mainly focus on the development of fertilizers or additives for water, nutrient, and heavy metal managements in soils, but they often overlook a soil sensing function for early detection of salinization/alkalization levels toward optimal and timely soil remediation. Here, new smart soils, structurally consisting of the upper signal soil and the bottom hygroscopic bed and chemically including zwitterionic, thermo-responsive poly(NIPAM-co-VPES) and poly(NIPAM-co-SBAA) aerogels in each soil layer are formulated. Upon salinization, the resultant smart soils exhibit multiple superior capacities for reducing the soil salinity and alkalinity through ion exchange, controlling the water cycling, modulating the degradation of pyridine-base ligands into water-soluble, nitrogenous salts-rich ingredients for soil fertility, and real-time monitoring salinized soils via pH-induced allochroic color changes. Further studies of plant growth in smart soils with or without salinization treatments confirm a synergy effect of soil remediation and soil sensing on facilitating the growth of plants and increasing the saline-alkaline tolerance of plants. The esign concept of smart soils can be further expanded for soil remediation and assessment.

18.
Front Nutr ; 9: 973048, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35983484

RESUMO

Methylglyoxal (MGO) is a highly reactive precursor which forms advanced glycation end-products (AGEs) in vivo, which lead to metabolic syndrome and chronic diseases. It is also a precursor of various carcinogens, including acrylamide and methylimidazole, in thermally processed foods. Rutin could efficiently scavenge MGO by the formation of various adducts. However, the metabolism and safety concerns of the derived adducts were paid less attention to. In this study, the optical isomers of di-MGO adducts of rutin, namely 6-(1-acetol)-8-(1-acetol)-rutin, were identified in foods and in vivo. After oral administration of rutin (100 mg/kg BW), these compounds reached the maximum level of 15.80 µg/L in plasma at 15 min, and decreased sharply under the quantitative level in 30 min. They were detected only in trace levels in kidney and fecal samples, while their corresponding oxidized adducts with dione structures presented as the predominant adducts in kidney, heart, and brain tissues, as well as in urine and feces. These results indicated that the unoxidized rutin-MGO adducts formed immediately after rutin ingestion might easily underwent oxidation, and finally deposited in tissues and excreted from the body in the oxidized forms. The formation of 6-(1-acetol)-8-(1-acetol)-rutin significantly mitigated the cytotoxicity of MGO against human gastric epithelial (GES-1), human colon carcinoma (Caco-2), and human umbilical vein endothelial (HUVEC) cells, which indicated that rutin has the potential to be applied as a safe and effective MGO scavenger and detoxifier, and AGEs inhibitor.

19.
Comput Math Methods Med ; 2022: 6706390, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35928981

RESUMO

Objective: From the perspective of economics, this study discusses the value of establishing a standardized clinical nutrition diagnosis and treatment pathway in the diagnosis and treatment of pulmonary infection and provides a reference for optimizing the diagnosis and treatment pathway of pulmonary infection. Methods: The patients who received the nutrition diagnosis and treatment pathway intervention in 2017 were counted as the routine group and were subdivided into the conventional intervention group (C1) and conventional control group (C2) according to whether the standardized nutrition therapy was applied or not. The patients who received the nutrition diagnosis and treatment pathway intervention in 2020 were counted as the experimental group and were subdivided into the experimental intervention group (T1) and the experimental control group (T2) according to whether standardized intervention was applied or not. The total hospitalization expenses, average daily hospitalization cost, nutrition support expenses, plasma albumin before and after nutrition support, readmission, and other indicators of all patients were recorded and compared. The cost-effectiveness ratio (CER), incremental cost-effectiveness ratio (ICER), and cost-effectiveness threshold for cost-effectiveness analysis were adopted. Results: Compared with the C2 group, the C1 group had higher total hospitalization expenses, average daily hospitalization expenses, nutritional support expenses, and plasma albumin improvement rate and lower readmission rate (P < 0.001). Compared with the T2 group, the T1 group had higher total hospitalization cost, average daily hospitalization expenses, nutritional support expenses, and plasma albumin improvement rate and lower readmission rate (P < 0.001). Taking the improvement rate of plasma albumin as the effect index, compared with the C1 group, the T1 group has less investment cost and better effect, and the ICER is negative (below the cost-effect threshold). And taking the readmission rate as the effective index, compared with the C1 group, the T1 group invested less cost and had a better effect, and the ICER was negative (below the cost-effect threshold). Conclusion: For the patients with pulmonary infection, whether the improvement rate of plasma albumin or the readmission rate is used as the impact index, the standardized nutrition diagnosis and treatment pathway in 2020 is more economical than the nonstandardized nutrition diagnosis and treatment pathway.


Assuntos
Estado Nutricional , Pneumonia , Análise Custo-Benefício , Hospitalização , Humanos , Albumina Sérica
20.
Biomed Res Int ; 2022: 2130993, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36017396

RESUMO

V̇O2max, a gold standard for evaluating cardiorespiratory fitness, can be enhanced by training and will gradually decrease when training stops. This study, which followed the Cochrane Collaboration guidelines, is aimed at assessing the effect of short- and long-term detraining on trained individuals' V̇O2max through a systematic review and meta-analysis and performed a subgroup analysis to evaluate the effects of different ages, detraining formats, and training statuses on V̇O2max variation between short- and long-term training cessation. Web of Science, SPORTDiscus, PubMed, and Scopus, four databases, were searched, from which 21 of 3315 potential studies met the inclusion criteria. Significant decreases in V̇O2max were identified after short-term training cessation (ES = -0.62 [95% CI -0.94; -0.31], p < 0.01; within-group I 2 = 35.3%, Egger's test = -1.22, p = 0.335) and long-term training cessation (ES = -1.42 [95% CI -1.99; -0.84], p < 0.01; within-group I 2 = 76.3%, Egger's test = -3.369, p < 0.01), which shows that the detraining effect was found to be larger on V̇O2max in long-term training cessation than in short-term training cessation (Q = 6.5, p = 0.01). However, there was no significant difference regarding V̇O2max change between 30-90 days detraining and larger than 90 days detraining (Q = 0.54, p = 0.46) when conducting subgroup analysis. In addition, younger (<20) individuals showed a greater reduction in V̇O2max after long-term detraining than adult individuals (Q = 5.9, p = 0.05), and athletes with higher trained-state V̇O2max showed a significant decline in V̇O2max after long-term detraining compared with the lower trained-state group (Q = 4.24, p = 0.03). In conclusion, both short- and long-term training cessation have a detrimental effect on V̇O2max, and a greater impact on V̇O2max was found in long-term training cessation compared to short-term training cessation; however, there was no significant change in V̇O2max when the duration of training cessation was more than 30 days. To buffer the detrimental effects of detraining, especially long-term training cessation, performing some physical exercise during training cessation can effectively weaken detraining effects. Thus, to prevent athlete's V̇O2max from decreasing dramatically from detraining, athletes should continue performing some physical exercise during the cessation of training.


Assuntos
Exercício Físico , Consumo de Oxigênio , Adulto , Atletas , Humanos , Oxigênio
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