Desorption electrospray ionization mass spectrometry imaging (DESI-MSI) in disease diagnosis: an overview

Analytical Methods, Journal Year: 2023, Volume and Issue: 15(31), P. 3768 - 3784

Published: Jan. 1, 2023

Illustration of critical keywords pertaining to ambient mass spectrometry imaging in disease diagnosis research.

Language: Английский

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Metabolomic Profiling Identified Serum Metabolite Biomarkers and Related Metabolic Pathways of Colorectal Cancer

Disease Markers, Journal Year: 2021, Volume and Issue: 2021, P. 1 - 9

Published: Dec. 7, 2021

Background. The screening and early detection of colorectal cancer (CRC) still remain a challenge due to the lack reliable effective serum biomarkers. Thus, this study is aimed at identifying biomarkers CRC that could be used distinguish from healthy controls. Methods. A prospective 1 : 2 individual matching case-control was performed which included 50 control subjects 98 patients. Untargeted metabolomic profiling conducted with liquid chromatography tandem mass spectrometry (LC-MS/MS) identify CRC-related metabolites metabolic pathways. Results. In total, 178 were detected, an orthogonal partial least-squares-discriminant analysis (OPLS-DA) model useful patients Nine showed significantly differential levels in under conditions variable importance projection VIP>1 , p<0.05 using Student’s t -test, fold change FC≥1.2 or ≤0.5. above nine 3-hydroxybutyric acid, hexadecanedioic succinic acid semialdehyde, 4-dodecylbenzenesulfonic prostaglandin B2, 2-pyrocatechuic xanthoxylin, 12-hydroxydodecanoic formylanthranilic acid. Four potential identified diagnose through ROC curves: All AUC values these four 0.70. addition, exploratory pathways revealed activated states for vitamin B pathway alanine, aspartate, glutamate associated CRC. Conclusion. 4 discriminate controls, may tissues.

Language: Английский

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Spatially-resolved characterization of the metabolic and N-glycan alterations in colorectal cancer using matrix-assisted laser desorption/ionization mass spectrometry imaging

RSC Advances, Journal Year: 2025, Volume and Issue: 15(3), P. 1838 - 1845

Published: Jan. 1, 2025

The multi-omics approach combining MSI-based metabolomics and N -glycomics visualized spatial distributions of metabolites -glycans in heterogeneous colorectal cancer tissues.

Language: Английский

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The Effectiveness of Glutathione Redox Status as a Possible Tumor Marker in Colorectal Cancer

International Journal of Molecular Sciences, Journal Year: 2021, Volume and Issue: 22(12), P. 6183 - 6183

Published: June 8, 2021

The role of oxidative stress (OS) in cancer is a matter great interest due to the implication reactive oxygen species (ROS) and their oxidation products initiation tumorigenesis, its progression, metastatic dissemination. Great efforts have been made identify mechanisms ROS-induced carcinogenesis; however, validation OS byproducts as potential tumor markers (TMs) remains be established. This interventional study included total 80 colorectal (CRC) patients 60 controls. By measuring reduced glutathione (GSH), oxidized form (GSSG), redox state terms GSSG/GSH ratio serum CRC patients, we identified significant changes compared healthy subjects. These findings are compatible with effectiveness TM. thiol showed increase towards group correlated significantly both clinical evolution. sensitivity specificity levels far above those classical TMs CEA CA19.9. We conclude that simple assay which could validated novel TM for diagnosis monitoring CRC.

Language: Английский

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Identification of Novel Core Genes Involved in Malignant Transformation of Inflamed Colon Tissue Using a Computational Biology Approach and Verification in Murine Models

International Journal of Molecular Sciences, Journal Year: 2023, Volume and Issue: 24(5), P. 4311 - 4311

Published: Feb. 21, 2023

Inflammatory bowel disease (IBD) is a complex and multifactorial systemic disorder of the gastrointestinal tract strongly associated with development colorectal cancer. Despite extensive studies IBD pathogenesis, molecular mechanism colitis-driven tumorigenesis not yet fully understood. In current animal-based study, we report comprehensive bioinformatics analysis multiple transcriptomics datasets from colon tissue mice acute colitis colitis-associated cancer (CAC). We performed intersection differentially expressed genes (DEGs), their functional annotation, reconstruction, topology gene association networks, which, when combined text mining approach, revealed that set key overexpressed involved in regulation (C3, Tyrobp, Mmp3, Mmp9, Timp1) CAC (Timp1, Adam8, Mmp7, Mmp13) occupied hub positions within explored colitis- CAC-related regulomes. Further validation obtained data murine models dextran sulfate sodium (DSS)-induced azoxymethane/DSS-stimulated confirmed inflammatory malignant lesions demonstrated encoding matrix metalloproteinases (acute colitis: Mmp9; CAC: can be used as novel prognostic signature for neoplasia IBD. Finally, using publicly available data, translational bridge interconnecting listed colitis/CAC-associated core pathogenesis ulcerative colitis, Crohn's disease, humans was identified. Taken together, playing function inflammation revealed, which serve both promising markers therapeutic targets to control IBD-associated neoplasia.

Language: Английский

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KAT2A affects tumor metabolic reprogramming in colon cancer progression through epigenetic activation of E2F1

Human Cell, Journal Year: 2022, Volume and Issue: 35(4), P. 1140 - 1158

Published: May 18, 2022

Language: Английский

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Metabolically Active Zones Involving Fatty Acid Elongation Delineated by DESI-MSI Correlate with Pathological and Prognostic Features of Colorectal Cancer

Metabolites, Journal Year: 2023, Volume and Issue: 13(4), P. 508 - 508

Published: March 31, 2023

Colorectal cancer (CRC) is the second leading cause of deaths. Despite recent advances, five-year survival rates remain largely unchanged. Desorption electrospray ionization mass spectrometry imaging (DESI) an emerging nondestructive metabolomics-based method that retains spatial orientation small-molecule profiles on tissue sections, which may be validated by 'gold standard' histopathology. In this study, CRC samples were analyzed DESI from 10 patients undergoing surgery at Kingston Health Sciences Center. The correlation spectral was compared with histopathological annotations and prognostic biomarkers. Fresh frozen sections representative colorectal cross simulated endoscopic biopsy containing tumour non-neoplastic mucosa for each patient generated in a blinded fashion. Sections then hematoxylin eosin (H E) stained, annotated two independent pathologists, analyzed. Using PCA/LDA-based models, biopsies achieved 97% 75% accuracies identifying presence adenocarcinoma, using leave-one-patient-out validation. Among m/z ratios exhibiting greatest differential abundance adenocarcinoma series eight long-chain or very-long-chain fatty acids, consistent molecular targeted metabolomics indicators de novo lipogenesis tissue. Sample stratification based lympovascular invasion (LVI), poor indicator, revealed oxidized phospholipids, suggestive pro-apoptotic mechanisms, increased LVI-negative to LVI-positive patients. This study provides evidence potential clinical utility spatially-resolved enhance information available clinicians diagnosis prognosis.

Language: Английский

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Serum Metabolite Biomarkers for Pancreatic Tumors: Neuroendocrine and Pancreatic Ductal Adenocarcinomas—A Preliminary Study

Cancers, Journal Year: 2023, Volume and Issue: 15(12), P. 3242 - 3242

Published: June 19, 2023

Pancreatic cancer is the most common pancreatic solid malignancy with an aggressive clinical course and low survival rate. There are a limited number of reliable prognostic biomarkers need to understand pathogenesis tumors; neuroendocrine (PNET) ductal adenocarcinomas (PDAC) encouraged us analyze serum metabolome tumors disturbances in metabolism PDAC PNET.Using AbsoluteIDQ® p180 kit (Biocrates Life Sciences AG, Innsbruck, Austria) liquid chromatography-mass spectrometry (LC-MS), we identified changes metabolite profiles disrupted metabolic pathways NET patients.The concentration six metabolites showed statistically significant differences between control group patients (p.adj < 0.05). Glutamine (Gln), acetylcarnitine (C2), citrulline (Cit) presented lower patients, while phosphatidylcholine aa C32:0 (PC C32:0), sphingomyelin C26:1 (SM C26:1), glutamic acid (Glu) achieved higher concentrations compared samples from healthy individuals. Five tested metabolites: C2 (FC = 8.67), serotonin 2.68) reached values PNET PDAC, C34:1 C34:1) -1.46 (0.68)) had samples. The area under curves (AUC) receiver operating characteristic (ROC) diagnostic power discriminate tumor which were highest for acylcarnitines: AUC 0.93, 0.85, PC 0.86.The observations provide better insight into tumors, improve diagnosis classification tumors. Serum-circulating can be easily monitored without invasive procedures show present patients' condition, helping pharmacological treatment or dietary strategies.

Language: Английский

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LC–MS-based serum metabolomics analysis for the screening and monitoring of colorectal cancer

Frontiers in Oncology, Journal Year: 2023, Volume and Issue: 13

Published: June 28, 2023

Background Colorectal Cancer (CRC) is a prevalent digestive system tumour with significant mortality and recurrence rates. Serum metabolomics, its high sensitivity throughput, has shown potential as tool to discover biomarkers for clinical screening monitoring of the CRC patients. Methods metabolites 61 sex age-matched healthy controls 62 patients (before after surgical intervention) were analyzed using ultra-performance liquid chromatography-high resolution mass spectrometer (UPLC-MS). Statistical methods pathway enrichment analysis used identify altered metabolic pathways. Results Our revealed clear distinction in serum profile between (HCs). Pathway indicated association arginine biosynthesis, pyrimidine metabolism, pantothenate, CoA biosynthesis. Univariate multivariate statistical showed that 9 had diagnostic value CRC, among them, Guanosine Area Under Curve (AUC) values 0.951 training group and0.998 validation group. Furthermore, four specific (N-Phenylacetylasparticacid, Tyrosyl-Gamma-glutamate, Tyr-Ser Sphingosine) samples before surgery return levels an intervention. Conclusion results suggest metabolomics may be valuable

Language: Английский

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Metabolomics analyses of cancer tissue from patients with colorectal cancer

Molecular Medicine Reports, Journal Year: 2023, Volume and Issue: 28(5)

Published: Sept. 27, 2023

The alteration of metabolism is essential for the initiation and progression numerous types cancer, including colorectal cancer (CRC). Metabolomics has been used to study CRC. At present, reprogramming in CRC remains be fully elucidated. In present study, comprehensive untargeted metabolomics analysis was performed on paired tissues adjacent normal from patients with (n=35) using ultra‑high‑performance liquid chromatography‑mass spectrometry. Subsequently, bioinformatic differentially expressed metabolites. changes these differential metabolites were compared among groups based sex, anatomical tumor location, grade differentiation stage disease. A total 927 detected tissue samples, 24 significantly different tissue. revealed that levels three amino acid increased tissue, specifically, N‑α‑acetyl‑ε‑(2‑propenal)‑Lys, cyclo(Glu‑Glu) cyclo(Phe‑Glu). decreased included quinaldic (also referred as quinoline‑2‑carboxilic acid), 17α‑ 17β‑estradiol, which are associated suppression activities, well other such as, anhydro‑β‑glucose, Asp‑Arg, lysophosphatidylcholine, lysophosphatidylethanolamine (lysoPE), lysophosphatidylinositol, carnitine, 5'‑deoxy‑5'‑(methylthio) adenosine, 2'‑deoxyinosine‑5'‑monophosphate thiamine monophosphate. There no difference between male female patients. also showed impact lysoPE right side colon left rectum. Analysis stages indicated 2‑aminobenzenesulfonic acid, P‑sulfanilic quinoline‑4‑carboxylic I II, III IV methylcysteine adenosine varied at tumorigenesis. These implicated multiple pathways, carbohydrate, lipid, nucleotide hormone. conclusion, demonstrated tumors had altered data metabolic profile provided supportive evidence understand

Language: Английский

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