| Abbreviation | Full Form |
| ABTS | 2,2’-Azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) |
| ACE | Angiotensin-converting enzyme |
| AI | Artificial intelligence |
| AKT | Protein kinase B |
| AMPK | AMP-activated protein kinase |
| ANN | Artificial neural network |
| ARE | Antioxidant response element |
| ATM | Ataxia telangiectasia mutated |
| ATR | Ataxia telangiectasia and Rad3-related |
| Bax | Bcl-2-associated X protein |
| Bcl-2 | B-cell lymphoma 2 |
| CAM | Class activation mapping |
| CAT | Catalase |
| CDK | Cyclin-dependent kinase |
| CeD | Celiac disease |
| Chk1/2 | Checkpoint kinases 1 and 2 |
| COX-2 | Cyclooxygenase 2 |
| CRC | Colorectal cancer |
| DAG | 1,2-Diacylglycerol |
| DL | Deep learning |
| DM | Diabetes mellitus |
| DNN | Deep neural network |
| DPP-IV | Dipeptidyl peptidase IV |
| DPPH | 2,2-Diphenyl-1-picrylhydrazyl |
| DSS | Dextran sulfate sodium |
| DT | Decision tree |
| DW | Dry weight |
| EMA | Endomysial antibody |
| ERK | Extracellular signal-regulated kinase |
| FAD | Flavin adenine dinucleotide |
| FAO | Food and Agriculture Organization |
| FFA | Free fatty acids |
| FOXO1 | Forkhead box protein O1 |
| FOXO3 | Forkhead box protein O3 |
| FRAP | Ferric reducing antioxidant power |
| FTIR | Fourier-transform infrared spectroscopy |
| FWGE | Fermented wheat germ extract |
| G6P | Glucose-6-phosphatase |
| GABA | Gamma-aminobutyric acid |
| GAE | Gallic acid equivalent |
| GAN | Generative adversarial network |
| GC-MS | Gas chromatography-mass spectrometry |
| GI | Gluten index |
| GLP-1 | Glucagon-like peptide-1 |
| GLUT | Glucose transporter |
| GMO | Genetically modified organism |
| GRD | Gluten-related disorder |
| GSH-Px | Glutathione peroxidase |
| GSK-3β | Glycogen synthase kinase 3 beta |
| gWAT | Gonadal white adipose tissue |
| HBA | Hydroxybenzoic acid |
| HbA1c | Hemoglobin A1c |
| HCA | Hydroxycinnamic acid |
| HDL-C | High-density lipoprotein cholesterol |
| HFD | High-fat diet |
| HLA | Human leukocyte antigen |
| HO-1 | Heme oxygenase 1 |
| HOMA-IR | Homeostatic model assessment of insulin resistance |
| HPLC | High-performance liquid chromatography |
| HPP | High-pressure processing |
| IC50 | Half maximal inhibitory concentration |
| IDF | International Diabetes Federation |
| IgE | Immunoglobulin E |
| IL-1β | Interleukin 1 beta |
| IL-6 | Interleukin 6 |
| iNOS | Inducible nitric oxide synthase |
| IoT | Internet of Things |
| IR | Insulin receptor |
| IRS | Insulin receptor substrate |
| iWAT | Inguinal white adipose tissue |
| iWOA | Improved whale optimization algorithm |
| JNK | c-Jun N-terminal kinase |
| KAN | Kolmogorov–Arnold network |
| Keap1 | Kelch-like ECH-associated protein 1 |
| KIM-1 | Kidney injury molecule 1 |
| KNN | K-nearest neighbors |
| LC-MS | Liquid chromatography-mass spectrometry |
| LDL-C | Low-density lipoprotein cholesterol |
| LGAKNet | Lightweight Ghost-attention Kolmogorov–Arnold network |
| LPS | Lipopolysaccharide |
| MAPK | Mitogen-activated protein kinase |
| MDA | Malondialdehyde |
| MetS | Metabolic syndrome |
| MIC | Minimum inhibitory concentration |
| miR-34a | MicroRNA 34a |
| ML | Machine learning |
| MMP-9 | Matrix metalloproteinase-9 |
| MSG | Monosodium glutamate |
| mTOR | Mechanistic target of rapamycin |
| NAD | Nicotinamide adenine dinucleotide |
| NCGS | Non-celiac gluten sensitivity |
| NF-κB | Nuclear factor kappa B |
| NIR | Near-infrared |
| NIRS | Near-infrared spectroscopy |
| NQO1 | NAD(P)H: quinone oxidoreductase 1 |
| Nrf2 | Nuclear factor erythroid 2-related factor 2 |
| NSP | Non-starch polysaccharide |
| PDCAAS | Protein Digestibility-Corrected Amino Acid Score |
| PDK1 | Pyruvate dehydrogenase kinase 1 |
| PEPCK | Phosphoenolpyruvate carboxykinase |
| PGC-1α | Peroxisome proliferator-activated receptor gamma coactivator 1-alpha |
| PI3K | Phosphoinositide 3-kinase |
| pix2pix | Pixel-to-pixel generative adversarial network |
| PKCε | Protein kinase C epsilon |
| PLS | Partial least squares |
| PSA | Prostate-specific antigen |
| PUFA | Polyunsaturated fatty acid |
| QE | Quercetin equivalent |
| QSAR | Quantitative structure–activity relationship |
| RCT | Randomized controlled trial |
| RF | Random forest |
| ROS | Reactive oxygen species |
| SCFA | Short-chain fatty acid |
| SHIME | Simulated human intestinal microbial ecosystem |
| SIRT1 | Silent information regulator 1 |
| SIRT3 | Sirtuin 3 |
| SOCS3 | Suppressor of cytokine signaling 3 |
| SOD | Superoxide dismutase |
| STZ | Streptozotocin |
| SVR | Support vector regression |
| SWIR | Short-wave infrared |
| T2D | Type 2 diabetes |
| T2DM | Type 2 diabetes mellitus |
| TC | Total cholesterol |
| TG | Triglycerides |
| TLR4 | Toll-like receptor 4 |
| TNF-α | Tumor necrosis factor alpha |
| TRIPOD | Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis |
| tTG | Tissue transglutaminase |
| VEGF | Vascular endothelial growth factor |
| Vis | Visible |
| Vis-NIR | Visible–near-infrared |
| Vis-NIR-SWIR | Visible–near-infrared–short-wave infrared |
| WCCPS | Wheat cell culture polysaccharides |
| WDEIA | Wheat-dependent exercise-induced anaphylaxis |
| WGCNA | Weighted gene co-expression network analysis |
| WHO | World Health Organization |
| XAI | Explainable artificial intelligence |
| XGBoost | Extreme gradient boosting |
| 16S rDNA | 16S ribosomal DNA |