Disease | Reference nos. | Proteins in the text | Results |
---|---|---|---|
Oral diseases | |||
 Periodontitis | [39] | MMP-8 | Correlation with the severity of periodontitis |
 Periodontitis | [40] | Apolipoprotein H | Discriminatory factor for chronic and aggressive periodontitis |
 Periodontitis | [41] | Trappin-2 and cytokine IL-1β | Anti-protease/proinflammatory cytokine imbalance |
 Periodontitis | [42] | S100A8 and S100A9 | Candidate biomarkers for periodontitis |
 Periodontitis | [43] | ANXA1 | Potential early biomarker for gingival inflammation during pregnancy |
 Periodontitis | [44] | HGF | Positive correlation with periodontitis progression and smoking habits, and monitoring response to therapy |
 Periodontitis | [45] | VIP and NPY | Potential gender-specific salivary biomarkers for periodontitis |
Oral cancer | |||
 OSCC | [49] | Complement proteins, CFB, C3, C4B | Predictive biomarkers related to risk of development OSCC |
 OSCC | [49] | SERPINA1 and LRG1 | Predictive biomarkers related to risk of development OSCC |
 OSCC | [50] | SERPINA1, CFH, FGA | Potential salivary biomarkers for OSCC diagnosis |
 OSCC | [51] | IARS, KARS, WARS, YARS | Elevated levels in tumour interstitial fluids |
 OSCC | [51] | NID1 | Potential OSCC biomarker |
 OSCC | [53] | SLPI | Decreased in premalignant lesion and OSCC lesion tissues |
 OSCC | [54] | SLC3A2, S100A2, IL1RN | Potential OSCC biomarkers |
 OSCC | IL8, IL1beta, Resistin | Potential OSCC biomarkers | |
Other cancer types | |||
 Gastric cancer | [59] | CSTB, TPI1, and DMBT1 | Discriminatory biomarkers in cancer cases |
 Infiltrating ductal carcinoma | [60] | α2-macroglobulin and ceruloplasmin | Upregulated |
Autoimmune diseases | |||
 cGVHD | [61] | Lactotransferrin lactoperoxidase | Reduced levels |
 cGVHD | [61] | IL-1ra, cystatin B | Potential diagnostic biomarkers |
 Sjogren’s syndrome (SS) | [62] | MUC5B and MUC7 | Altered glycosylation and sulfation patterns |
 Sjogren’s syndrome (SS) | [64] | Calcium-binding proteins, defence-response proteins, proteins involved in apoptotic regulation, stress- response proteins and cell motion- related proteins | Increased in SS patients |
 Sjogren’s syndrome (SS) | [68] | S100A8/A9 | Potential biomarkers for SS patients with lymphoma or at higher risk of lymphoma |
 Sjogren’s syndrome (SS) | [69] | S100 proteins | Potential early biomarkers for primary SS |
Other systemic diseases | |||
 Systemic diseases and periodontitis | [72] | Visfatin | Putative biomarker for both |
 Periodontitis and type 2 diabetes | [73] | Ferritin, hepcidin | Positive correlation between salivary and serum ferritin and low salivary hepcidin levels |
 Multiple sclerosis | [71] | S-type cystatins | Altered glycosylation and oxidation levels |
Infectious diseases | |||
 Zika virus | [75] | Viral proteins | Saliva may be a repository for free Zika virus particles and infected cells |
 Dengue virus | [76] | Anti-NS1 antibodies | Detected with comparable sensitivity in plasma and saliva |
 HBV and HCV | [77] | C3, alpha(1)-acid and alpha(2)-acid glycoproteins, haptoglobin, serotransferrin, ceruloplasmin | Potential biomarkers |
 HCC | [77] | Hemopexin, transthyretin, GADPH, alpha- enolase, and cystatin C | Their monitoring in saliva could substitute blood tests |
Rare diseases | |||
 SAPHO | [80] | S100A12 | Potential biomarker |
 Wilson disease | [81] | S100 A9 and S100 A8 | Oxidation levels could monitor disease progression |
Neurological diseases | |||
 Autism spectrum disorders | [2] | Statherin, histatin 1, and acidic proline-rich proteins | Decreased levels |
 Autism spectrum disorders | [2] | Prolactin-inducible protein, lactotransferrin, Ig kappa chain C region, Ig gamma- 1 chain C region, Ig lambda-2 chain C regions, neutrophil elastase, polymeric immunoglobulin receptor and DMBT1 | Elevated levels |