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Altered N -glycosylation of proteins on the cell membrane is associated with several neurodegenerative diseases. Microglia are an ideal model for studying glycosylation and neuroinflammation, but whether aberrant N -glycosylation in microglia can be restored by diet remains unknown. Herein, we profiled the N -glycome, proteome, and glycoproteome of the human microglia following lipopolysaccharide (LPS) induction to probe the impact of dietary and gut microbe-derived fatty acids-oleic acid, lauric acid, palmitic acid, valeric acid, butyric acid, isobutyric acid, and propionic acid-on neuroinflammation using liquid chromatography-tandem mass spectrometry. LPS changed N -glycosylation in the microglial glycocalyx altering high mannose and sialofucosylated N -glycans, suggesting the dysregulation of mannosidases, fucosyltransferases, and sialyltransferases. The results were consistent as we observed the restoration effect of the fatty acids, especially oleic acid, on the LPS-treated microglia, specifically on the high mannose and sialofucosylated glycoforms of translocon-associated proteins, SSRA and SSRB along with the cell surface proteins, CD63 and CD166. In addition, proteomic analysis and in silico modeling substantiated the potential of fatty acids in reverting the effects of LPS on microglial N -glycosylation. Our results showed that N -glycosylation is likely affected by diet by restoring alterations following LPS challenge, which may then influence the disease state.

Biological experiments are often conducted in vitro using immortalized cells due to their accessibility and ease of propagation compared to primary cells and live animals. However, immortalized cells may present different proteomic and glycoproteomic characteristics from the primary cell source due to the introduction of genes that enhance proliferation (e.g. CDK4) or enable telomere lengthening. To demonstrate the changes in phenotype upon CDK4-transformation, we performed LC-MS/MS glycomic and proteomic characterizations of a human lung cancer primary cell line (DTW75) and a CDK4-transformed cell line (GL01) derived from DTW75. We observed that the primary and CDK4-transformed cells expressed significantly different levels of sialylated, fucosylated, and sialofucosylated N-glycans. Specifically, the primary cells expressed higher levels of hybrid- and complex-type sialylated N-glycans, while CDK4-transformed cells expressed higher levels of complex-type fucosylated and sialofucosylated N-glycans. Further, we compared the proteomic differences between the cell lines and found that CDK4-transformed cells expressed higher levels of RNA-binding and adhesion proteins. Further, we observed that the CDK4-transformed cells changed N-glycosylation after 31 days in cell culture, with a decrease in high-mannose and increase in fucosylated, sialylated, and sialofucosylated N-glycans. Identifying these changes between primary and CDK4-transformed cells will provide useful insight when adapting cell lines that more closely resemble in vivo physiological conditions., (© The Author(s) 2024. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Glycoproteins are an underexploited drug target for cancer therapeutics. In this work, we integrated computational methods in network pharmacology and in silico docking approaches to identify phytochemical compounds that could potentially interact with several cancer-associated glycoproteins. We first created a database of phytochemicals from selected plant species, Manilkara zapota (sapodilla/chico), Mangifera indica (mango), Annona muricata (soursop/guyabano), Artocarpus heterophyllus (jackfruit/langka), Lansium domesticum (langsat/lanzones), and Antidesma bunius (bignay), and performed pharmacokinetic analysis to determine their drug-likeness properties. We then constructed a phytochemical-glycoprotein interaction network and characterized the degree of interactions between the phytochemical compounds and with cancer-associated glycoproteins and other glycosylation-related proteins. We found a high degree of interactions from α-pinene ( Mangifera indica ), cyanomaclurin ( Artocarpus heterophyllus ), genistein ( Annona muricata ), kaempferol ( Annona muricata and Antidesma bunius ), norartocarpetin ( Artocarpus heterophyllus ), quercetin ( Annona muricata , Antidesma bunius , Manilkara zapota , Mangifera indica ), rutin ( Annona muricata , Antidesma bunius , Lansium domesticum ), and ellagic acid ( Antidesma bunius and Mangifera indica ). Subsequent docking analysis confirmed that these compounds could potentially bind to EGFR, AKT1, KDR, MMP2, MMP9, ERBB2, IGF1R, MTOR, and HRAS proteins, which are known cancer biomarkers. In vitro cytotoxicity assays of the plant extracts showed that the n -hexane, ethyl acetate, and methanol leaf extracts from A. muricata , L. domesticum and M. indica gave the highest growth inhibitory activity against A549 lung cancer cells. These may help further explain the reported cytotoxic activities of select compounds from these plant species., Competing Interests: The authors declare no competing financial interest., (© 2023 The Authors. Published by American Chemical Society.)

Lung cancer is the leading cause of cancer death and non-small cell lung carcinoma (NSCLC) accounting for majority of lung cancers. Thus, it is important to find potential biomarkers, such as glycans and glycoproteins, which can be used as diagnostic tools against NSCLC. Here, the N-glycome, proteome, and N-glycosylation distribution maps of tumor and peritumoral tissues of Filipino lung cancer patients (n = 5) were characterized. We present several case studies with varying stages of cancer development (I-III), mutation status ( EGFR, ALK ), and biomarker expression based on a three-gene panel ( CD133 , KRT19 , and MUC1 ). Although the profiles of each patient were unique, specific trends arose that correlated with the role of aberrant glycosylation in cancer progression. Specifically, we observed a general increase in the relative abundance of high-mannose and sialofucosylated N-glycans in tumor samples. Analysis of the glycan distribution per glycosite revealed that these sialofucosylated N-glycans were specifically attached to glycoproteins involved in key cellular processes, including metabolism, cell adhesion, and regulatory pathways. Protein expression profiles showed significant enrichment of dysregulated proteins involved in metabolism, adhesion, cell-ECM interactions, and N-linked glycosylation, supporting the protein glycosylation results. The present case series study provides the first demonstration of a multi-platform mass-spectrometric analysis specifically for Filipino lung cancer patients.

Targeting enzymes associated with the biosynthesis of aberrant glycans is an under-utilized strategy in discovering potential inhibitors or drugs against cancer. The formation of cancer-associated glycans is mainly due to the dysregulated expression of glycosyltransferases and glycosidases, which play crucial roles in maintaining cellular structure and function. We screened a database of more than 14,000 compounds consisting of natural products and drugs for inhibition against four glycosylation enzymes - Alpha1-6FucT, ST6Gal1, ERMan1, and GlcNAcT-V. The top inhibitors identified against each enzyme were subsequently analyzed for potential binding against all four enzymes. In silico screening results show several promising candidates that could potentially inhibit all four enzymes: (1) Amb20622156 (demethylwedelolactone) [ERMan1: -9.3 kcal/mol; Alpha1-6FucT: -7.3 kcal/mol; ST6Gal1: -8.4 kcal/mol; GlcNAcT-V: -7.2 kcal/mol], (2) Amb22173588 (1,2-dihydrotanshinone I) [ERMan1: -9.3 kcal/mol; Alpha1-6FucT: -6.1 kcal/mol; ST6Gal1: -9.2 kcal/mol; GlcNAcT-V: -7.9 kcal/mol], and (3) Amb22173591 (tanshinol B) [ERMan1: -9.3 kcal/mol; Alpha1-6FucT: -6.0 kcal/mol; ST6Gal1: -9.8 kcal/mol; GlcNAcT-V: -7.7 kcal/mol]. Drug-enzyme active site residue interaction analyses show that the putative inhibitors form non-covalent bonding interactions with key active site residues in each enzyme, suggesting critical target residues in the four enzymes' active sites. Furthermore, pharmacokinetic property prediction analysis using pkCSM indicates that all of these inhibitors have good ADMETox properties (i.e., log P < 5, Caco-2 permeability > 0.90, intestinal absorption > 30%, skin permeability>-2.5, CNS permeability <-3, maximum tolerated dose < 0.477, minnow toxicity<-0.3). The in silico docking approach to glycosylation enzyme inhibitor prediction could help guide and streamline the discovery of novel inhibitors against enzymes involved in aberrant protein glycosylation.Communicated by Ramaswamy H. Sarma.

Lansium domesticum is identified as a potential source of anticancer compounds. However, there are minimal studies on its anti-lung cancer properties as well as its mechanism of action. Here, we show the specificity of lanzones hexane (LH) leaf extracts to non-small cell lung cancer cells (A549) compared to normal lung fibroblast cells (CCD19-Lu) and normal epithelial prostate cells (PNT2). Subsequent bioassay-guided fractionation of the hexane leaf extracts identified two bioactive fractions with IC 50 values of 2.694 μg/ml (LH6-6) and 2.883 μg/ml (LH7-6). LH 6-6 treatment (1 μg/ml concentration) also showed a significantly reduced migration potential of A549 relative to the control. Thirty-one phytocompounds were isolated and identified using gas chromatography-mass spectrometric (MS) analysis and were then subjected to network pharmacology analysis to assess its effects on lung cancer target proteins. Using liquid chromatography-tandem mass spectrometry proteomics experiments, we were able to show that these compounds cause cytotoxic effects through targeting mitochondrial processes in A549 lung cancer cells., (© 2023 John Wiley & Sons Ltd.)

Aberrant glycosylation has been extensively reported in cancer, with fundamental changes in the glycosylation patterns of cell-surface and secreted proteins largely occurring during cancer progression. As such, serum glycan and glycopeptide biomarkers have been discovered using mass spectrometry and proposed for cancer detection. Here, we report for the first time potential serum N -glycan and glycopeptide biomarkers for Philippine lung cancer patients. The N -glycan and glycoprotein profiles of a cohort ( n = 26 patients, n = 22 age- and gender-matched) of lung cancer patients were analyzed and compared to identify potential N -glycan and glycopeptide serum biomarkers using nano-QToF-MS/MS and ultra-high-performance liquid chromatography coupled with triple quadrupole mass spectrometry dynamic multiple monitoring methods, respectively. Statistical analyses identified differential N -glycan and glycopeptide abundances. The N -glycans were mostly sialylated and sialofucosylated branched structures. The glycopeptides involved proteins in complement and coagulation cascades ( p adj = 6.418 × 10 -4 ), innate immunity ( p adj = 6.094 × 10 -3 ), acute inflammatory response ( p adj = 6.404 × 10 -5 ), defense response ( p adj = 2.082 × 10 -4 ), complement activation pathways ( p adj = 1.895 × 10 -2 ), and immunoglobulin-mediated immune response pathways ( p adj = 4.818 × 10 -2 ). Biomarker models were constructed using serum N -glycans [area under the curve (AUC) = 0.775; 95% CI: 0.617-0.931] and glycopeptides (AUC = 0.959; 95% CI: 0.85-1.0), with glycopeptides having higher accuracies than N -glycans. The results suggest that in the Philippine lung cancer patient sera, specific N -glycans and site-specific glycans are differentially expressed between cases and controls. This report represents the first serum glycan and glycopeptide biomarkers of Philippine lung cancer patients, further demonstrating the utility of mass spectrometry-based glycomic and glycoproteomic methods., Competing Interests: The authors declare no competing financial interest., (© 2022 The Authors. Published by American Chemical Society.)

Cancer progression is linked to aberrant protein glycosylation due to the overexpression of several glycosylation enzymes. These enzymes are underexploited as potential anticancer drug targets and the development of rapid-screening methods and identification of glycosylation inhibitors are highly sought. An integrated bioinformatics and mass spectrometry-based glycomics-driven glycoproteomics analysis pipeline was performed to identify an N-glycan inhibitor against lung cancer cells. Combined network pharmacology and in silico screening approaches were used to identify a potential inhibitor, pictilisib, against several glycosylation-related proteins, such as Alpha1-6FucT, GlcNAcT-V, and Alpha2,6-ST-I. A glycomics assay of lung cancer cells treated with pictilisib showed a significant reduction in the fucosylation and sialylation of N-glycans, with an increase in high mannose-type glycans. Proteomics analysis and in vitro assays also showed significant upregulation of the proteins involved in apoptosis and cell adhesion, and the downregulation of proteins involved in cell cycle regulation, mRNA processing, and protein translation. Site-specific glycoproteomics analysis further showed that glycoproteins with reduced fucosylation and sialylation were involved in apoptosis, cell adhesion, DNA damage repair, and chemical response processes. To determine how the alterations in N-glycosylation impact glycoprotein dynamics, modeling of changes in glycan interactions of the ITGA5-ITGB1 (Integrin alpha 5-Integrin beta-1) complex revealed specific glycosites at the interface of these proteins that, when highly fucosylated and sialylated, such as in untreated A549 cells, form greater hydrogen bonding interactions compared to the high mannose-types in pictilisib-treated A549 cells. This study highlights the use of mass spectrometry to identify a potential glycosylation inhibitor and assessment of its impact on cell surface glycoprotein abundance and protein-protein interaction.

Background: Tomato is one of the widely cultivated crops worldwide that is affected by several pests, such as fungi (Fusarium oxysoporum, Alternaria solani), bacteria (Pectobacterium carotovorum) and weeds (Cyperus iria L., Amaranthus spinosus). A growing interest has emerged for developing plant-derived pesticidal compounds to counteract these pests. One attractive alternative is to use barnyard grass (Echinochloa crus-galli), known to be widely resistant to synthetic herbicides, as a potential biopesticide compound source., Results: Phytochemical screening of the crude extract showed that phenolic compounds were the most abundant component present in barnyard grass. The crude extract was evaluated for antifungal, antibacterial and herbicidal activities. Bioassays showed inhibition against F. oxysporum (10.73 ± 1.30%) and A. solani (20.47 ± 3.51%), the causative agent of Fusarium rot and early blight disease in tomato, respectively. Antibacterial activity against P. carotovorum gave a mean zone of inhibition (paper disc diffusion assay) of 17.00 ± 1.00 mm and an IC 50 (dose-response assay) of 2.26 mg mL -1 was observed. Dose-responsive herbicidal activity on the lettuce seed germination bioassay produced an IC 50 of 459.30 ppm. Selectivity studies showed inhibition towards C. iria and A. spinosus with no effect on tomato. Lastly, bioassay-guided fractionation coupled with untargeted metabolomics studies using ultra-performance liquid chromatography with diode array detection-tandem mass spectrometry mass analyses revealed loliolide and tricin as the putative metabolites present in barnyard grass., Conclusion: To date, this is the first reported study on using barnyard grass as a potential alternative biopesticide against tomato pests such as fungi, bacteria and weeds. © 2021 Society of Chemical Industry., (© 2021 Society of Chemical Industry.)

A strategy in the discovery of anti-tuberculosis (anti-TB) drug involves targeting the enzymes involved in the biosynthesis of Mycobacterium tuberculosis' (Mtb) cell wall. One of these enzymes is Galactofuranosyltransferase 2 (GlfT2) that catalyzes the elongation of the galactan chain of Mtb cell wall. Studies targeting GlfT2 have so far produced compounds showing minimal inhibitory activity. With the current challenge of designing potential GlfT2 inhibitors with high inhibition activity, computational methods such as molecular docking, receptor-ligand mapping, molecular dynamics, and Three-Dimensional-Quantitative Structure-Activity Relationship (3D-QSAR) were utilized to deduce the interactions of the reported compounds with the target enzyme and enabling the design of more potent GlfT2 inhibitors. Molecular docking studies showed that the synthesized compounds have binding energy values between -3.00 to -6.00 kcal mol -1 . Two compounds, #27 and #31, have registered binding energy values of -8.32 ± 0.01, and -8.08 ± 0.01 kcal mol -1 , respectively. These compounds were synthesized as UDP-Galactopyranose mutase (UGM) inhibitors and could possibly inhibit GlfT2. Interestingly, the analogs of the known disaccharide substrate, compounds #1-4, have binding energy range of -10.00 to -19.00 kcal mol -1 . The synthesized and newly designed compounds were subjected to 3D-QSAR to further design compounds with effective interaction within the active site. Results showed improved binding energy from -6.00 to -8.00 kcal mol -1 . A significant increase on the binding affinity was observed when modifying the aglycon part instead of the sugar moiety. Furthermore, these top hit compounds were subjected to in silico ADMETox evaluation. Compounds #31, #70, #71, #72, and #73 were found to pass the ADME evaluation and throughout the screening, only compound #31 passed the predicted toxicity evaluation. This work could pave the way in the design and synthesis of GlfT2 inhibitors through computer-aided drug design and can be used as an initial approach in identifying potential novel GlfT2 inhibitors with promising activity and low toxicity.