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Oral squamous cell carcinoma (OSCC) is one of the most-prevalent cancer types worldwide, and it poses a serious threat to public health due to its high mortality and morbidity rates. OSCC typically has a poor prognosis, significantly reducing the chances of patient survival. Therefore, early detection is crucial to achieving a favorable prognosis by providing prompt treatment and increasing the chances of remission. Salivary biomarkers have been established in numerous studies to be a trustworthy and non-invasive alternative for early cancer detection. In this sense, we propose an intelligent system that utilizes feed-forward artificial neural networks to classify carcinoma with salivary biomarkers extracted from control and OSCC patient samples. We conducted experiments using various salivary biomarkers, ranging from 1 to 51, to train the model, and we achieved excellent results with precision, sensitivity, and specificity values of 98.53%, 96.30%, and 97.56%, respectively. Our system effectively classified the initial cases of OSCC with different amounts of biomarkers, aiding medical professionals in decision-making and providing a more-accurate diagnosis. This could contribute to a higher chance of treatment success and patient survival. Furthermore, the minimalist configuration of our model presents the potential for incorporation into resource-limited devices or environments.

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The blood diagnosis of diabetes mellitus (DM) is highly accurate; however, it is an invasive, high-cost, and painful procedure. In this context, the combination of ATR-FTIR spectroscopy and machine learning techniques in other biological samples has been used as an alternative tool to develop a non-invasive, fast, inexpensive, and label-free diagnostic or screening platform for several diseases, including DM. In this study, we used the ATR-FTIR tool associated with linear discriminant analysis (LDA) and a support vector machine (SVM) classifier in order to identify changes in salivary components to be used as alternative biomarkers for the diagnosis of type 2 DM. The band area values of 2962 cm-1, 1641 cm-1, and 1073 cm-1 were higher in type 2 diabetic patients than in non-diabetic subjects. The best classification of salivary infrared spectra was by SVM, showing a sensitivity of 93.3% (42/45), specificity of 74% (17/23), and accuracy of 87% between non-diabetic subjects and uncontrolled type 2 DM patients. The SHAP features of infrared spectra indicate the main salivary vibrational modes of lipids and proteins that are responsible for discriminating DM patients. In summary, these data highlight the potential of ATR-FTIR platforms coupled with machine learning as a reagent-free, non-invasive, and highly sensitive tool for screening and monitoring diabetic patients.

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This study analyzed the salivary proteomics, adiponectin and albumin, related to weight loss and periodontitis in patients undergoing bariatric surgery. This study included fourteen patients with morbid obesity (body mass index, BMI > 40 kg/m2) who underwent bariatric surgery Roux-en-Y gastric bypass (RYGB) in System Health Public in Brazil. Data on demographic and anthropometric measures were extracted from medical records preoperatively and 6 and 12 months post-surgery. The variables assessed were: probing pocket depth (PPD), clinical attachment loss (CAL), bleeding on probing (BOP), and stimulated whole-mouth saliva. In this study, saliva samples were analyzed by electrophoresis and immunoblotting. The ELISA kit was used to measure the MMP8 levels to determine potential markers for obesity. Adiponectin and albumin levels were also evaluated. Weight loss was associated with significant changes in patients' periodontal clinical data. Although 7 out of 10 periodontal patients showed an increase in salivary adiponectin levels after root planning treatment, when analyzed by Western blotting, the increase was not statistically significant (21.1 ± 4.8 to 26.3 ± 9.4 arbitrary units, p > 0.99). There was no correlation between albumin levels and salivary adiponectin pre-surgery, nor 6 months or 12 months after surgery. Weight loss was not improved by low-grade inflammation in bariatric patients, since albumin levels were similar between periods. Periodontitis is an inflammatory disease that is modulated by several factors, among which adiponectin plays an important role for the treatment of periodontal disease.

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PURPOSE OF REVIEW: The aim of this overview is to appraise the evidence on salivary biomarkers for H&N cancer diagnosis. The acronym PICOS was used to develop the eligibility criteria and the focused review question: are liquid biopsies (saliva biomarkers) reliable for cancer detection in H&N cancer patients? Electronic database search encompassed PubMed, EMBASE, Scopus, Cochrane Library, Web of Science, and LILACS. Risk of Bias (RoB) was assessed through AMSTAR 2. RECENT FINDINGS: A total of 20 SRs were included. Only seven SRs were able to reach more solid conclusions around the retrieved findings by calculating the pooled sensitivity, specificity, and the overall area under the curve (AUC). Despite the limitations, significant RoB, and lack of test metrics in primary studies, all SRs recognize and encourage the potential role of saliva in the early diagnosis of oral cancer.

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Caregivers of elderly people with neurodegenerative diseases are highly vulnerable to stressful situations and mood disorders due to their work conditions. Stress has been associated with an increased risk of developing depression, and studies have supported that caffeine consumption can act as an independent protective factor for disorder. This study investigated indexes of stress and depression symptoms in caregivers of the elderly with neurodegenerative diseases, their caffeine intake and the association between stress and depressive symptoms with the salivary biomarkers cortisol, nitric oxide and DNA damage. Participants (n = 81) were recruited from the community between July 2018 and April 2019. Stress was assessed using Lipp's Inventory of Stress Symptoms, and depressive symptoms were measured using the Hamilton Depressive Rating Scale. Participants provided a 72-hour recall of their diet to measure caffeine intake. Saliva samples were used to measure cortisol and nitric oxide. DNA damage was measured through micronuclei frequency after swabbing on the buccal mucosa. The majority of caregivers displayed stress and depressive symptoms. Stress was associated with educational level, tobacco use and total DNA damage. The indexes found in this population were not associated with caffeine intake or other salivary biomarkers, indicating that only some salivary molecules could be used as biomarkers for stress-related disorders. Caregivers of the elderly are exposed to stressful situations daily, however, we observed that educational level can reduce the psychological symptoms of stress and thus reduce the negative impact on quality of life.

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Abstract The symptoms of chronic kidney disease (CKD) are often not specific or absent in the early stages of this illness. Therefore, there is a demand for developing low cost, non-invasive and highly accurate platforms for CKD diagnostics. We hypothesized that the level of specifics salivary components changes when CKD is emplace, which could be clinically used to discriminate CKD patients from healthy subjects. The present study aimed to compare salivary components between CKD patients and matched control subjects by using attenuated total reflection-Fourier Transform Infrared (ATR-FTIR) spectroscopy. The predictive power of salivary components was evaluated by receiver operating characteristic (ROC) curves. Several components were identified, and 4 of them showed different expression (p<0.05) between CKD and control subjects. Thiocyanate (SCN-, 2052 cm-1) and phospholipids/carbohydrates (924 cm-1) vibrational modes using original and second-derivative spectra by ATR-FTIR could potentially be used as salivary biomarkers to differentiate CKD than control subjects. The combination of original and second-derivative spectra by ATR-FTIR of 924 cm-1 vibrational modes could reach 92.8% sensitivity and 85.7% specificity for CKD detection. Despite, the limitation of our investigation, the acquired data indicates that salivary vibrational modes by ATR-FTIR platform should be further explored as an auxiliary diagnostic tool for CKD.

Resumo Os sintomas da doença renal crônica (DRC) são frequentemente inespecíficos ou ausentes nos estágios iniciais desta doença. Desta forma, existe uma demanda para o desenvolvimento de plataformas com baixo custo, não-invasivas e com alta acurácia para o diagnóstico da DRC. Nós hipotetizamos que o nível dos componentes salivares se alteram pela DRC, o que pode ser clinicamente utilizado para discriminar pacientes portadores de DRC de indivíduos controles. O objetivo deste estudo foi comparar componentes salivares entre pacientes portadores de DRC e sujeitos controles utilizando um sistema de reflectância total atenuada com espectroscopia infravermelho com transformada em Fourier (ATR-FTIR). O poder preditivo dos componentes salivares foi avaliado pela curva característica de operação do receptor (ROC). Diversos componentes salivares foram identificados e 4 destes apresentaram diferença na expressão (p<0,05) entre DRC e sujeitos controles. O modos vibracionais do tiocianato (2052 cm-1) e de fosfolipídeos/carbohidratos (924 cm-1) utilizando espectros originais e da segunda-derivada pelo ATR-FTIR podem potencialmente ser utilizados como biomarcadores salivares para discriminar a DRC de sujeitos controles. A combinação dos espectros originais e da segunda-derivada pelo ATR-FTIR do modo vibracional 924 cm-1 pode apresentar sensibilidade de 92.8% e especificidade de 85.7% para a detecção da DRC. Este estudo indicou que modos vibracionais da saliva pela plataforma ATR-FTIR podem ser uma ferramenta auxiliar no diagnóstico da DRC.

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RESUMEN: La periodontitis crónica es una inflamación de los tejidos que rodean y dan soporte a los dientes. Diversos biomarcadores químicos y pro inflamatorios están aumentados durante el transcurso de la enfermedad. El objetivo del estudio fue determinar los distintos niveles salivales de proteínas totales, fosfatasa alcalina, prostaglandina E2 (PGE2) y lisozima en pacientes con periodontitis crónica. Se obtuvieron muestras de saliva de 31 pacientes con periodontitis crónica y se realizó un estudio de serie de casos para la determinación cuantitativa de los biomarcadores. La concentración de proteínas totales se encontró por sobre los rangos de referencia en 22 pacientes, la actividad de la fosfatasa alcalina se vio aumentada en 9 pacientes y la concentración de PGE2 se vio por sobre los rangos de referencia en 30 pacientes. Las proteínas totales y PGE2 son biomarcadores salivales en estos pacientes con periodontitis, no así la fosfatasa alcalina y la lisozima.

ABSTRACT: Chronic periodontitis is an inflammation of tissue that surrounds and supports the teeth; during the course of the disease there is an increase of different chemical and pro-inflammatory biomarkers. The objective of the study was to determine different levels in saliva of total protein, alkaline phosphatase, lysozyme and prostaglandin E2 (PGE2) in patients with chronic periodontitis. We used saliva samples from 31 patients who had chronic periodontitis and the study was a case of series. Our results showed 22 patients with increased concentrations of protein concentration, nine patients with increased alkaline phosphatase and PGE2 concentration was above the reference range in 30 patients: The total protein and PGE2 are good salivary biomarkers in patients with periodontitis, but not the alkaline phosphatase and lysozyme.

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BACKGROUND: The oral squamous cell carcinoma (OSCC) survival rate is influenced by the fact that diagnoses occur mostly in late stages of the disease. Thus, there is a clear contribution in the early findings, making the use of minimally invasive techniques for diagnosis, such as analysis of salivary markers, interesting tools. METHODS: A systematic review was performed with all studies that establish a comparison between the levels of saliva-based markers found in patients with OSCC compared with cancer-free individuals. RESULTS: Twenty-eight studies were included. Of them, only 12 showed some caution with oral conditions before sample collection. A wide range of potential markers was evaluated; however, the comparison between studies was impaired because each marker was hardly explored by more than 1 article. CONCLUSION: The lack of methodological criteria within studies and the absence of consensus on marker choice are obstacles for future researches. © 2016 Wiley Periodicals, Inc. Head Neck 39: 797-811, 2017.

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El propósito de este trabajo es, en primer término, determinar cuales son los factores más importantes en el diagnóstico periodontal; su evolución en el tiempo y cuál sería el futuro en la clasificación de las enfermedades periodontales en base a los avances que se están realizando en biología molecular. Se está trabajando en la investigación de los biomarcadores salivales como predictores de la enfermedad periodontal, un rápido test de saliva podría diagnosticar dicha patología (21, 22, 27, 28, 29). Las clasificaciones van evolucionando a medida que se conoce más sobre estasenfermedades (2). Aún falta mucha investigación para poder realizar una clasificación basada en la etiología (2).La biología molecular parece ser muy prometedora, ya que podríamos ser másespecíficos en la etiología de la enfermedad y esclarecer muchas de nuestras incertidumbres (21)

The purpose of this essay is to determine which are the most importantfactors in the periodontal diagnosis, its evolution in time and also determinewhich would be the future classification of periodontal diseases based on theadvances being made in molecular biology.Even today determining the causes of periodontal disease remains a complexmatter.Work is being done today in the research of salivary biomarkers as predictorsof periodontal desease, through rapid saliva test could diagnose thisdisease.21, 22, 27, 28, 29Classifications are evolving as we know more about this disease.2There is still way more research to be made in order to be able to establisha classification based in etiology.2Molecular biology seems to be very promising in that we can be more specificin the etiology of the disease and clarify many of our uncertainties.

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