Effects of Different Doses of Eucalyptus Oil From Eucalyptus globulus Labill on Respiratory Tract Immunity and Immune Function in Healthy Rats

Shao, Jiang; Yin, Zhen-Jie; Wang, Yaqin; Yue, Yang; Tang, Qing; Zhang, Mingming; Jiao, Jieying; Liu, Chengjie; Yang, Ming-Wei; Zhen, Lifang; Hassouna, Amira; White, William L.; Lu, Jun

doi:10.3389/fphar.2020.01287

Cited by 16 publications

(20 citation statements)

References 27 publications

(42 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…and Zea mays L. E. globulus is one of the most widely planted hardwood tree species in temperate regions of the world, mostly used as raw material for pulp and paper industry due to its highquality cellulose pulp, low lignin, and lipid content (Aumond et al, 2017). This species is also used for the production of essential oils in the pharmaceutical industry (Shao et al, 2020). Notably, E. globulus has been successfully grown in a broad range of environmental conditions, and it stands out as the targets of multiple breeding programs to improve economically important traits such as tree growth and wood quality (Ballesta et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Genome-Wide Prediction of Complex Traits in Two Outcrossing Plant Species Through Deep Learning and Bayesian Regularized Neural Network

et al. 2020

View full text Add to dashboard Cite

Genomic selection models were investigated to predict several complex traits in breeding populations of Zea mays L. and Eucalyptus globulus Labill. For this, the following methods of Machine Learning (ML) were implemented: (i) Deep Learning (DL) and (ii) Bayesian Regularized Neural Network (BRNN) both in combination with different hyperparameters. These ML methods were also compared with Genomic Best Linear Unbiased Prediction (GBLUP) and different Bayesian regression models [Bayes A, Bayes B, Bayes Cπ, Bayesian Ridge Regression, Bayesian LASSO, and Reproducing Kernel Hilbert Space (RKHS)]. DL models, using Rectified Linear Units (as the activation function), had higher predictive ability values, which varied from 0.27 (pilodyn penetration of 6 years old eucalypt trees) to 0.78 (flowering-related traits of maize). Moreover, the larger mini-batch size (100%) had a significantly higher predictive ability for wood-related traits than the smaller mini-batch size (10%). On the other hand, in the BRNN method, the architectures of one and two layers that used only the pureline function showed better results of prediction, with values ranging from 0.21 (pilodyn penetration) to 0.71 (flowering traits). A significant increase in the prediction ability was observed for DL in comparison with other methods of genomic prediction (Bayesian alphabet models, GBLUP, RKHS, and BRNN). Another important finding was the usefulness of DL models (through an iterative algorithm) as an SNP detection strategy for genome-wide association studies. The results of this study confirm the importance of DL for genome-wide analyses and crop/tree improvement strategies, which holds promise for accelerating breeding progress.

show abstract

Section: Introductionmentioning

confidence: 99%

Genome-Wide Prediction of Complex Traits in Two Outcrossing Plant Species Through Deep Learning and Bayesian Regularized Neural Network

et al. 2020

View full text Add to dashboard Cite

show abstract

“…However, some investigators attributed the EO anti-inflammatory activity to the presence of monoterpenes, namely 1,8-cineole, which is a potent suppressor of cytokine release [ 48 ]. Nevertheless, it is important to take into consideration a study reporting that a high concentration of EO (hence, 1,8-cineole) affects the immune function in the respiratory tract and the overall organism immunity in rats, while a low concentration can have the opposite effect [ 49 ].…”

Section: Resultsmentioning

confidence: 99%

Chemical Composition and Effect against Skin Alterations of Bioactive Extracts Obtained by the Hydrodistillation of Eucalyptus globulus Leaves

et al. 2022

View full text Add to dashboard Cite

Eucalyptus globulus is planted extensively for pulp, paper and wood production. Although bioactive compounds obtained from its biomass are used as cosmetics ingredients, the skin effects were not yet fully explored. In order to fill this gap, this work aimed to study the protective effect against skin damage provided by the essential oil (EO) obtained from the hydrodistillation of Eucalyptus globulus leaves, and by an extract obtained from the hydrodistillation residual water (HRW). The major compound identified in the EO was 1,8-Cineole, and the phenolic acids in the HRW included gallic acid as the main phenolic constituent. Moreover, non-toxic EO and HRW concentrations were shown to have anti-aging skin effects in vitro, decreasing age-related senescence markers, namely β-galactosidase and matrix metalloproteinases activation, as well as collagen type 1 upregulation. In addition, EO and HRW were found to exhibit depigmenting effects by inhibiting tyrosinase and melanin production, along with potent anti-inflammatory properties. Furthermore, the absence of skin irritation and sensitization in cells exposed to EO and HRW revealed the safety of both extracts for topical use. Taken together, these results highlight the beneficial effects of extracts obtained from Eucalyptus globulus biomass for skin aesthetic and health purposes, which should be explored deeply for the prediction of future pharmaceutical and dermocosmetics industrial applications.

show abstract

“…Previous studies have found that ZMD had a stronger antioxidant and anti‐inflammatory than CMD (Li et al., 2016; Zhao et al., 2017), and better immunomodulatory activities (Lu et al., 2017) than CMD. Studies based on eucalyptus oil found eucalyptus oil has antioxidant, antibacterial, antifungal properties, and immunoregulatory function (Boukhatem et al., 2020; Shao et al., 2020). The linalool and 1,8‐cineole inhibited non‐small cell lung cancer A549 cell migration (Rodenak‐Kladniew et al., 2020).…”

Section: Resultsmentioning

confidence: 99%

“…Studies based on eucalyptus oil found eucalyptus oil has antioxidant, antibacterial, antifungal properties, and immunoregulatory function (Boukhatem et al, 2020;Shao et al, 2020). The linalool and 1,8-cineole inhibited non-small cell lung cancer A549 cell migration (Rodenak-Kladniew et al, 2020).…”

Section: Selection Of Representative Signal Peaksmentioning

confidence: 99%

Identification of Ophiopogonis Radix from different producing areas by headspace‐gas chromatography‐ion mobility spectrometry analysis

Jia

Ye²,

Li³

et al. 2021

Journal of Food Biochemistry

View full text Add to dashboard Cite

Ophiopogonis Radix can be divided into Zhemaidong (ZMD) and Chuanmaidong (CMD). The main planting areas of ZMD are Cixi City and Sanmen county. The quality and price of Ophiopogonis Radix from different producing areas are different. In this study, the headspace‐gas chromatography‐ion mobility spectrometry (HS‐GC‐IMS) method is used to rapidly identify ZMD and CMD. The method is also used to identify ZMD from Cixi and Sanmen by analyzing volatile organic compounds (VOCs). A total of 58 VOCs was obtained from ZMD samples with more abundant signals of which 41 were identified. The peak intensities of all VOCs in ZMD and CMD, Cixi and Sanmen data were averaged and then those VOCs whose peak intensities were distributed outside of mean ± 2 standard deviation (μ ± 2σ) were selected as characteristic markers. We selected 14 characteristic markers to establish the characteristic fingerprint of ZMD and CMD, among the 14 VOCs, ZMD contained more eucalyptus oil compounds than CMD, CMD contained more volatile aldehydes than ZMD. We selected 12 characteristic markers for the establishment of the characteristic fingerprint of ZMD from Cixi and Sanmen. The principal component analysis (PCA) results indicated that both ZMD and CMD or ZMD from Cixi and Sanmen could be effectively divided. The ZMD and CMD as well as ZMD from Cixi and Sanmen were evaluated by partial least squares regression‐discriminants analysis (PLS‐DA) resulting to be excellent chemical descriptors for sample discrimination. One hundred percent classification rates for both PLS‐DA calibration and prediction models were obtained. These results provided a reference for the traceability of species and origin and market standard of Ophiopogonis Radix. Practical applications Ophiopogonis Radix can be divided into Zhejiang Ophiopogonis Radix (ZMD) and Sichuan Ophiopogonis Radix (CMD). As far as ZMD is concerned, its producing areas mainly include the traditional planting areas (Cixi City) and new growth areas (Sanmen county). In this paper, the HS‐GC‐IMS method was adopted to analyze VOCs in Ophiopogonis Radix from different producing areas and then we screen out the respective characteristic VOCs of ZMD and CMD as well as ZMD from Cixi and Sanmen. These characteristic VOCs can effectively identify ZMD and CMD as well as ZMD from Cixi City and Sanmen country to provide a scientific basis for the origin identification of Ophiopogonis Radix.

show abstract

Effects of Different Doses of Eucalyptus Oil From Eucalyptus globulus Labill on Respiratory Tract Immunity and Immune Function in Healthy Rats

Cited by 16 publications

References 27 publications

Genome-Wide Prediction of Complex Traits in Two Outcrossing Plant Species Through Deep Learning and Bayesian Regularized Neural Network

Genome-Wide Prediction of Complex Traits in Two Outcrossing Plant Species Through Deep Learning and Bayesian Regularized Neural Network

Chemical Composition and Effect against Skin Alterations of Bioactive Extracts Obtained by the Hydrodistillation of Eucalyptus globulus Leaves

Identification of Ophiopogonis Radix from different producing areas by headspace‐gas chromatography‐ion mobility spectrometry analysis

Contact Info

Product

Resources

About