Hyper-acidic fusion minipeptides escort the intrinsic antioxidative ability of the pattern recognition receptor CRP in non-animal organisms

Zhang, Mengru; Liu, Yanjuan; Liu, Zhibin; Wang, Jianmei; Gong, Ming; Ge, Hu; Li, Xufeng; Yang, Yi; Zou, Zhurong

doi:10.1038/s41598-019-39388-8

Cited by 4 publications

(4 citation statements)

References 84 publications

(116 reference statements)

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“…The interactions disrupted hydrogen bonds and converted the original helical structure into other structures. The decrease in the α‐helix content also suggested that AHTN changed the HLF backbone 50 . AHTN interacts with the amino acids in the HLF protein chain and changes the secondary HLF structure.…”

Section: Resultsmentioning

confidence: 97%

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Interactions between polycyclic musks and human lactoferrin: Multi‐spectroscopic methods and docking simulation

Shi

et al. 2023

J of Molecular Recognition

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lene; AHTN) are "pseudo-persistent" pollutants that can cause DNA damage, endocrine disruption, organ toxicity, and reproductive toxicity in humans. HHCB and AHTN are readily enriched in breast milk, so exposure of infants to HHCB and AHTN is of concern. Here, the molecular mechanisms through which HHCB and AHTN interact with human lactoferrin (HLF) are investigated using computational simulations and spectroscopic methods to identify indirectly how HHCB and AHTN may harm infants. Molecular docking and kinetic simulation studies indicated that HHCB and AHTN can interact with and alter the secondary HLF structure. The fluorescence quenching of HLF by HHCB, AHTN was static with the forming of HLF-HHCB, HLF-AHTN complex, and accompanied by non-radiative energy transfer and that 1:1 complexes form through interaction forces. Time-resolved fluorescence spectroscopy indicated that binding to small molecules does not markedly change the HLF fluorescence lifetime. Three-dimensional fluorescence spectroscopy indicated that HHCB and AHTN alter the peptide chain backbone structure of HLF. Ultraviolet-visible absorption spectroscopy, simultaneous fluorescence spectroscopy, Fourier-transform infrared spectroscopy, and circular dichroism spectroscopy indicated that HHCB and AHTN change the secondary HLF conformation. Antimicrobial activity experiments indicated that polycyclic musks decrease lactoferrin activity and interact with HLF.These results improve our understanding of the mechanisms involved in the toxicities of polycyclic musks bound to HLF at the molecular level and provide theoretical support for mother-and-child health risk assessments.

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Section: Resultsmentioning

confidence: 97%

“…The decrease in the α-helix content also suggested that AHTN changed the HLF backbone. 50 AHTN interacts with the amino acids in the HLF protein chain and changes the secondary HLF structure.…”

Section: Spectroscopymentioning

confidence: 99%

Interactions between polycyclic musks and human lactoferrin: Multi‐spectroscopic methods and docking simulation

Shi

et al. 2023

J of Molecular Recognition

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“…Chlorophyll a (Chla), chlorophyll b (Chlb) and total chlorophyll (Chlt) were determined using Arnon's (1949) equations. Lipid peroxidation was determined by using the TBA (thiobarbituric acid) reaction, and then the MDA content was quantified [50,51].…”

Section: Chlorophyll Pigment and Mda (Malondialdehyde) Determinationmentioning

confidence: 99%

Response of Prolyl 4 Hydroxylases, Arabinogalactan Proteins and Homogalacturonans in Four Olive Cultivars under Long-Term Salinity Stress in Relation to Physiological and Morphological Changes

Azariadis,

Vouligeas,

Salame

et al. 2023

Cells

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Olive (Olea europeae L.) salinity stress induces responses at morphological, physiological and molecular levels, affecting plant productivity. Four olive cultivars with differential tolerance to salt were grown under saline conditions in long barrels for regular root growth to mimic field conditions. Arvanitolia and Lefkolia were previously reported as tolerant to salinity, and Koroneiki and Gaidourelia were characterized as sensitive, exhibiting a decrease in leaf length and leaf area index after 90 days of salinity. Prolyl 4-hydroxylases (P4Hs) hydroxylate cell wall glycoproteins such as arabinogalactan proteins (AGPs). The expression patterns of P4Hs and AGPs under saline conditions showed cultivar-dependent differences in leaves and roots. In the tolerant cultivars, no changes in OeP4H and OeAGP mRNAs were observed, while in the sensitive cultivars, the majority of OeP4Hs and OeAGPs were upregulated in leaves. Immunodetection showed that the AGP signal intensity and the cortical cell size, shape and intercellular spaces under saline conditions were similar to the control in Arvanitolia, while in Koroneiki, a weak AGP signal was associated with irregular cells and intercellular spaces, leading to aerenchyma formation after 45 days of NaCl treatment. Moreover, the acceleration of endodermal development and the formation of exodermal and cortical cells with thickened cell walls were observed, and an overall decrease in the abundance of cell wall homogalacturonans was detected in salt-treated roots. In conclusion, Arvanitolia and Lefkolia exhibited the highest adaptive capacity to salinity, indicating that their use as rootstocks might provide increased tolerance to irrigation with saline water.

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“…For the problem of determining the characteristics to be analyzed, a set of diagnostic images of tobacco membranes was processed to reveal the oxidation chain, resulting in the study of lipids as input samples to the anti-oxidation model [13]. On the other hand, the patterns or characteristics that are considered as inputs were calculated with the combination, weighting, and grouping of samples of electrical energy consumption to predict the dynamics of transmission management [14].…”

Section: Patternsmentioning

confidence: 99%

Pattern recognition for the modification of characteristics using non-linear techniques

Mesa¹,

Ospina²,

Devia-Narváez³

2023

Rev. UIS ing.

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Traditional data processing applications are unsuitable for handling large amounts of data. To achieve an efficient manipulation and extraction of characteristics or samples that the information represents, it is necessary to know aspects such as data collection and treatment. In this document, a database corresponding to the behavior of electrical energy consumption in a residential load was refined. The debugging and statistical analysis of the samples were carried out using the principal component analysis. The training of the smallest data set to the original database was made using vector support machine techniques and artificial neural networks. Finally, a proposal is presented for the analysis of samples that are within the operating limits or not using updating dynamic patterns for the unsupervised validation of new samples.

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Hyper-acidic fusion minipeptides escort the intrinsic antioxidative ability of the pattern recognition receptor CRP in non-animal organisms

Cited by 4 publications

References 84 publications

Interactions between polycyclic musks and human lactoferrin: Multi‐spectroscopic methods and docking simulation

Interactions between polycyclic musks and human lactoferrin: Multi‐spectroscopic methods and docking simulation

Response of Prolyl 4 Hydroxylases, Arabinogalactan Proteins and Homogalacturonans in Four Olive Cultivars under Long-Term Salinity Stress in Relation to Physiological and Morphological Changes

Pattern recognition for the modification of characteristics using non-linear techniques

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