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Metabolomics - Europe PMC

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Last Updated: 08 August 2022

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Antiperspirant effects and mechanism investigation of Mulisan decoction in rats based on plasma metabolomics.

Context Mulisan decoction is a classic Chinese medicine technique for treating hyperhidrosis. Rats except for control group were induced diseases characteristics of the applicable scope of MLS via i. p. According to a day's, MLS clubs were administered orally MLS at 0. 6, 3, and 15 g/kg once a day for 14 days. After the last administration, sweating was promoted in all rats by s. c. pilocarpine, the right hind foot of rats was stained, and sweat point numbers were determined. Rat plasma was tested for endogenous metabolite analysis by UPLC-QE-Focus-MS. Compared to the model group, rats treated with MLS resulted in a significant decline in sweat point numbers, increase in body mass, and promotion in the balance of Th1/Th2 cytokine ratio via increasing IL-2, IFN-u03b3, and decreasing IL-6. Conclusions MLS had a positive antiperspirant effect and metabolism improvement.

Source link: https://europepmc.org/article/MED/35634726


Metabolomics coupled with network pharmacology study on the protective effect of Keguan-1 granules in LPS-induced acute lung injury.

Against ALI, the underlying cause and protective mechanism of KG-1-1 against ALI will be investigated. To determine the effects of KG-1, mice in the KG-1 group were given a dose of 5. 04 g/kg for 12 h. KG-1 anti-ALI's first, untargeted metabolomics was used to identify the metabolites and involved pathways for the KG-1 anti-ALI. In an attempt to forecast the putative active ingredients and drug targets of KG-1 anti-ALI, Network pharmacology was carried out to determine the putative active components and drug goals of KG-1 anti-ALI's. KG-1 exhibited anti-ALI activity through 17 potentially active components acting on seven putative drug targets to control four metabolites, according to Network pharmacology. Discussion and conclusions This study clarified the therapeutic effect and underlying mechanism by which KG-1 shields against ALI from the perspective of the metabolome, thus providing a scientific basis for the use of KG-1.

Source link: https://europepmc.org/article/MED/35253576


Metabolomics and transcriptomics analysis of vitro growth in pitaya plantlets with different LED Light spectra treatment

Vito culture, which is also a key determining factor for plant photosynthesis, is the most widely used and convenient method for plant photosynthesis in order to satisfy the market's demand for pitaya seedlings. Pitaya plantlets' biomass, stem diameter, and cross-sectional area of pitaya plantlets is drastically reduced, while blue light can remove this inhibition, and 1 Red+2 Blue mixture light had the best effect on pitaya plants. In addition, the results showed that the red light has a significant role in primary metabolic processes in pitaya plantlets, including glucose metabolism and photosynthesis. And by red light therapy, gene expression and accumulation of metabolites in these pathways were reduced, while blue light can change this negative pattern. In the present study, the mixture light quality may be the most suitable environment for the high-quality cultivation of pitaya seedlings.

Source link: https://europepmc.org/article/MED/IND607803930


Untargeted metabolomics study of Lonicerae japonicae flos processed with different drying methods via GC-MS and UHPLC-HRMS in combination with chemometrics

Due to the organoleptic and chemical properties, the medicinal values and economic benefits of Lonicerae japonicae flos are directly affected by the post-harvest processing. Untargeted metabolomics mixed with chemometrics was first used to investigate the metabolite differences among them in the metabolite analysis. The metabolomics research was made possible by automatizing data analysis methods, i. e. , autoGCMSDataAnal and AntDAS, which were designed for gas chromatography-mass spectrometry experimentation and ultrahigh resolution mass spectrometry data analysis, respectively. Particularly, most polyphenols, such as rutin, cynaroside, isoquercetrin, chlorogenic acid, etc. , were at their maximum content at the freeze drying and minimum at the shade drying, with a minimum at the shade drying. The differences in primary and secondary metabolites in Lonicerae japonicae flos obtained with various drying techniques were revealed, which may be helpful in determining the correct drying method according to a specific request.

Source link: https://europepmc.org/article/MED/IND607791554


Unraveling arbuscular mycorrhizal fungi-induced resistance of purple branch rose (Rosa rugosa ‘Zizhi’) to Lymantria dispar based on metabolomics

People rely heavily on chemical pesticides to prevent and control insect pests, but they also produce chemical residues that can make it impossible to guarantee the health of edible plants. Arbuscular mycorrhizal fungi are soil microorganisms that have a symbiotic relationship with plants that improve plant resistance, resulting in plant resistance. The present review examined the effects of AMF inoculation on rose growth and resistance to gypsy moth larvae by investigating rose plant growth and metabolomics, as well as the growth and physiological characteristics of gypsy moth larvae. The developmental duration of gypsy moth larvae feeding on mycorrhizal rose leaves was extended by 4. 8 days (U20135. 8 days). In addition, feeding on mycorrhizal rose leaves seriously reduced the body weight of the gypsy moth larvae by 94%, body length by 4u20136, and the width of head sheath by 11 percent. The superoxide dismutase and carboxylesterase enzymes in the larvae feeding on mycorrhizal's leaves were significantly higher than those in the control, although acid phosphatase was cut off. In larvae that ate on mycorrhizal rose leaves, the incidence of perspiration and alkaline phosphatase was much higher than those in the control group at 5 days. Inoculation with AMF resulted in the growth of jasmonic acid and abscisic acid in rose leaves, according to Metabolomics results. In conclusion, AMF inoculation improved R. rugosa to L. tiff by diet and physiology changes.

Source link: https://europepmc.org/article/MED/IND607798890


Metabolomics and lipidomics insight into the effect of different polyamines on tomato plants under non-stress and salinity conditions

Polyamines are the primary signaling molecules involved in plant growth and stress acclimation processes. Using a combined metabolomics and lipidomics approach, this research looked at the effects of spermidine, spermine, and putrescine in tomato plants. In PA-treated plants, root lengths, average root diameter, and very fine roots increased, similar to control. Plants treated with putrescine showed the broader modulation of the metabolite profile, while spermidine and spermine had a marginally less beneficial effect. In such tangled response from tomato to PAs, concerning signaling pathways, the intricate crosstalk between phytohormones, and the membrane lipid signaling cascade was involved.

Source link: https://europepmc.org/article/MED/IND607797736


Interpretable machine learning-derived nomogram model for early detection of diabetic retinopathy in type 2 diabetes mellitus: a widely targeted metabolomics study.

The early detection of diabetic retinopathy is vital in prioritizing therapy and avoiding permanent blindness. Using metabolomics and clinical measurements, this research intends to determine a machine learning model for DR early detection in DR early diagnosis. 950 patients were enrolled in two affiliated hospitals of Wenzhou Medical University and Anhui Medical University from 2017 to 2018. From a propensity score matching-based metabolomics analysis, a total of 69 matched blocks was obtained, including healthy volunteers, type 2 diabetes, and DR patients. The nomogram model was then constructed using the multivariable conditional logistic regression models. The mean age of enrolled subjects was 56. 7 years with a mean deviation of 9. 2, and 64% of males was 66. 4 percent. Based on the DT model, 2-pyrrolidone completely separated healthy controls from diabetic patients, and thiamine triphosphate may be a key metabolite for DR detection. The nomogram provides an accurate and dependable prediction of DR detection.

Source link: https://europepmc.org/article/MED/35931671

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions