Genomics, phytochemicals, and oxidative stress (6)Asymmetric Synthesis and Catalysis (5)Phytochemicals and Antioxidant Activities (5)Lung Cancer Diagnosis and Treatment (5)Liver Disease Diagnosis and Treatment (4)
Calvatia gigantea is a traditional Chinese medicinal fungus known for its diverse pharmacological effects, with polysaccharides being one of its main bioactive components. In this study, a novel homogeneous water-soluble polysaccharide (CGPA1) was successfully isolated and purified from the fruiting body of Calvatia gigantea. The molecular weight of CGPA1 was determined to be 11.69 kDa. Structural characterization was performed using a combination of high-performance gel permeation chromatography (HPGPC), Fourier-transform infrared spectroscopy (FTIR), methylation analysis, and nuclear magnetic resonance (NMR) spectroscopy. The analysis data revealed that CGPA1 is primarily composed of galactose, methyl-galactose, mannose, xylose, and glucose in a molar ratio of 60.01:27.16:10.34:1.83:0.67. The backbone structure predominantly consists of α-1,6-Gal-(1 → and α-1,6 (3-MeO)-Gal-(1→, with side chains of α-Gal and α-Man. Morphological analysis using SEM, XRD, and AFM, combined with Congo red experiments, suggesting that CGPA1 adopts an amorphous granular chain conformation. Both in vitro and in vivo tests confirmed that CGPA1 can promote the migration of MSF cells and accelerate the healing of acute injured wounds. It was found to facilitate skin re-epithelialization, and collagen deposition over the healing process.
Early diagnosis is paramount for enhancing survival rates and prognosis in the context of malignant diseases. Hepatocellular carcinoma (HCC), the second leading cause of cancer-related deaths worldwide, poses significant challenges for its early detection. In this study, we present an innovative approach which contributed to the early diagnosis of HCC. By lanthanide encoding signal amplification to map glycan-linkages at the single-cell level, the minute quantities of "soft" glycan-linkages on single cell surface were converted into "hard" elemental tags through the use of an MS2 signal amplifier. Harnessing the power of lanthanides encoded within MS2, we achieve nearly three orders of magnitude signal amplification. These encoded tags are subsequently quantified using single-cell inductively coupled plasma mass spectrometry (SC-ICP-MS). Linear discriminant analysis (LDA) identifies seven specific glycan-linkages (α-2,3-Sia, α-Gal, α-1,2-Fuc, α-1,6-Fuc, α-2,6-Sia, α-GalNAc, and Gal-β-1,3-GalNAc) as biomarkers. Our methodology is initially validated at the cellular level with 100% accuracy in discriminating between hepatic carcinoma HepG2 cells and their normal HL7702 cells. We apply this approach to quantify and classify glycan-linkages on the surfaces of 55 clinical surgical HCC specimens. Leveraging these seven glycan-linkages as biomarkers, we achieve precise differentiation between 8 normal hepatic specimens, 40 early HCC specimens, and 7 colorectal metastasis HCC specimens. This pioneering work represents the first instance of employing single-cell glycan-linkages as biomarkers promising for the early diagnosis of HCC with a remarkable 100% predictive accuracy rate, which holds immense potential for enhancing the feasibility and precision of HCC diagnosis in clinical practice.
Persistent organic pollutants (POPs) in agricultural soil often triggered metabolic alterations and phytotoxicity in plants, ultimately threatening crop quality. Unraveling the phytotoxic mechanisms of POPs in crops is critical for evaluating their environmental risks. Herein, the molecular mechanism of POP-induced phytotoxicity in rice (Oryza sativa L.) was analyzed using metabolic profile, enzyme activity, and gene expression as linkages, including polycyclic aromatic hydrocarbons, polybrominated diphenyl ethers, polychlorinated biphenyls, and phthalate esters. Despite no observable changes in phenotypic traits (e.g., biomass and length of aboveground), the levels of reactive oxygen species (ROS) were promoted under stresses of the tested POPs, particularly 2,2',4,4'-tetrabromodiphenyl ether (BDE-47), dibutyl phthalate (DBP), and di(2-ethylhexyl) phthalate (DEHP). Metabolomics analysis revealed that ROS contents positively correlated with metabolic perturbation levels (r = 0.83), among which the galactose metabolism was significantly inhibited when exposed to DBP, DEHP, or BDE-47. The α-Galactosidase (α-Gal) involved in galactose metabolism was targeted as the key enzyme for the phytotoxicity of DBP, DEHP, and BDE-47, which was revealed by the inhibition of saccharide levels (45.5-82.1%), the catalytic activity of α-Gal (18.5-24.3%), and the gene expression (28.5-34.5%). Molecular docking simulation suggested that the three POPs occupied the active sites of α-Gal and formed a stable protein-ligand complex, thus inhibiting the catalytic activity of α-Gal. Partial least-squares regression analysis indicated that α-Gal activity was negatively associated with hydrogen bond acceptor, rotatable bond, and topological polar surface area of POPs. The results offered novel insights into the molecular mechanisms of phytotoxicity of POPs and provided important information for evaluating the environmental risk of POPs.