Age and Gender Characteristics of the Infrared Spectra of Normal Human Saliva

Bel’skaya, Lyudmila V.; Sarf, Elena A.; Solomatin, Denis V.

doi:10.1177/0003702819885958

Cited by 21 publications

(14 citation statements)

References 46 publications

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“…On the example of ovarian and endometrial cancer, it was shown that in cancer, the lipid content in saliva decreases and a ratio of the intensities of absorption bands 2923/2957 cm −1 was proposed, the decrease in which is statistically significant both at the initial and at the advanced stages of the disease and can be used as a potential diagnostic criterion [38]. We also showed earlier that the composition of saliva has pronounced sex differences [39], which are also manifested in IR spectra [40]. In the framework of this study, we analyzed the lipid profile of saliva in healthy volunteers of both sexes and established reference lipid values for men and women.…”

Section: Introductionsupporting

confidence: 54%

Analysis of Saliva Lipids in Breast and Prostate Cancer by IR Spectroscopy

2021

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We have developed a method for studying the lipid profile of saliva, combining preliminary extraction and IR spectroscopic detection. The case–control study involved patients with a histologically verified diagnosis of breast and prostate cancer and healthy volunteers. The comparison group included patients with non-malignant pathologies of the breast (fibroadenomas) and prostate gland (prostatic intraepithelial neoplasia). Saliva was used as a material for biochemical studies. It has been shown that the lipid profile of saliva depends on gender, and for males it also depends on the age group. In cancer pathologies, the lipid profile changes significantly and also depends on gender and age characteristics. The ratio of 1458/1396 cm−1 for both breast and prostate cancer has a potential diagnostic value. In both cases, this ratio decreases compared to healthy controls. For prostate cancer, the ratio of 2923/2957 cm−1 is also potentially informative, which grows against the background of prostate pathologies. It is noted that, in all cases, changes in the proposed ratios are more pronounced in the early stages of diseases, which increases the relevance of their study in biomedical applications.

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Section: Introductionsupporting

confidence: 54%

Analysis of Saliva Lipids in Breast and Prostate Cancer by IR Spectroscopy

2021

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“…Research based on the use of infrared spectroscopy technique, applied to detect circadian changes in the content of biological fluids, including saliva, has shown that gender- and age-dependent differences have been reported for some physicochemical characteristics of human saliva [ 29 ].…”

Section: The Oral Ecosystem and The Saliva Diagnostic Functionmentioning

confidence: 99%

The Impact of Sport Training on Oral Health in Athletes

et al. 2021

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Athletes’ oral health appears to be poor in numerous sport activities and different diseases can limit athletic skills, both during training and during competitions. Sport activities can be considered a risk factor, among athletes from different sports, for the onset of oral diseases, such as caries with an incidence between 15% and 70%, dental trauma 14–70%, dental erosion 36%, pericoronitis 5–39% and periodontal disease up to 15%. The numerous diseases are related to the variations that involve the ecological factors of the oral cavity such as salivary pH, flow rate, buffering capability, total bacterial count, cariogenic bacterial load and values of secretory Immunoglobulin A. The decrease in the production of S-IgA and the association with an important intraoral growth of pathogenic bacteria leads us to consider the training an “open window” for exposure to oral cavity diseases. Sports dentistry focuses attention on the prevention and treatment of oral pathologies and injuries. Oral health promotion strategies are needed in the sports environment. To prevent the onset of oral diseases, the sports dentist can recommend the use of a custom-made mouthguard, an oral device with a triple function that improves the health and performance of athletes. During training, the sports dentist must monitor the athletes and the sports examination protocol must be implemented with the inclusion of the clinical examination, quantitative and qualitative analysis of saliva and instructions on the use, cleansing and storage of the mouthguard.

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“…The highest PLS loadings ( Figure 2 ) for the prediction of satiety using all samples were observed around 1750 cm −1 , which was associated with phospholipid, lipid, and ester groups [ 45 , 46 ], between 1665–1616 cm −1 was associated with amide I groups (proteins), 1286 cm −1 was associated with amide III groups, 1247 cm −1 was associated with PO 2 of phosphate, 1089 cm −1 was associated with the symmetric stretching of phosphate groups of phosphodiester, 989 cm −1 was associated with C-O of ribose and C-C bonds, and 957 cm −1 was associated with polysaccharides [ 5 , 41 , 42 , 43 , 44 ]. Ni et al [ 16 ] reported that the MIR frequencies between 1766–1725 cm −1 and 1692–1632 cm −1 were the most important when MIR calibrations were developed for the prediction of saliva flow, oral processing time, and fungiform papillae density of tongue.…”

Section: Resultsmentioning

confidence: 99%

“…( A ) Fingerprint region of salivary spectra comparing both food types and satiety perception types. The main reported absorption peaks in the literature [ 5 , 32 , 33 , 41 , 42 , 43 , 44 , 45 , 46 ] were labelled with lower case and wavelength number (a1076 cm −1 , glycosylated proteins and phosphorus-containing components; b1239 cm −1 , amide III/phospholipids; c1336 cm −1 , carboxyl groups COO and asymmetric C-N stretching; d1393 cm −1 , asymmetric and symmetric CH2 bending; e1437 cm −1 , and f1473 cm −1 , δ(CH 2 ) groups corresponding to biochemical indicators for triene conjugates and superoxide dismutase; g1542 cm −1 , amide II (δNH, νCN) groups; h1647 cm −1 , amide I corresponding with albumin; i1653 cm −1 , amide I proteins in α-helix; and j1717 cm −1 , amide I purine bases, DNA and RNA). ( B ) Avocado, ( C ) banana, and ( D ) apple; ratios at specific frequencies calculated from the salivary spectra comparing the high and low satiety perceiver groups.…”

Section: Figurementioning

confidence: 99%

Predicting Satiety from the Analysis of Human Saliva Using Mid-Infrared Spectroscopy Combined with Chemometrics

Smyth

Gidley

et al. 2022

Foods

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The aim of this study was to evaluate the ability of mid-infrared (MIR) spectroscopy combined with chemometrics to analyze unstimulated saliva as a method to predict satiety in healthy participants. This study also evaluated features in saliva that were related to individual perceptions of human–food interactions. The coefficient of determination (R2) and standard error in cross validation (SECV) for the prediction of satiety in all saliva samples were 0.62 and 225.7 satiety area under the curve (AUC), respectively. A correlation between saliva and satiety was found, however, the quantitative prediction of satiety using unstimulated saliva was not robust. Differences in the MIR spectra of saliva between low and high satiety groups, were observed in the following frequency ratios: 1542/2060 cm−1 (total protein), 1637/3097 cm−1 (α-amino acids), and 1637/616 (chlorides) cm−1. In addition, good to excellent models were obtained for the prediction of satiety groups defined as low or high satiety participants (R2 0.92 and SECV 0.10), demonstrating that this method could be used to identify low or high satiety perception types and to select participants for appetite studies. Although quantitative PLS calibration models were not achieved, a qualitative model for the prediction of low and high satiety perception types was obtained using PLS-DA. Furthermore, this study showed that it might be possible to evaluate human/food interactions using MIR spectroscopy as a rapid and cost-effective tool.

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Age and Gender Characteristics of the Infrared Spectra of Normal Human Saliva

Cited by 21 publications

References 46 publications

Analysis of Saliva Lipids in Breast and Prostate Cancer by IR Spectroscopy

Analysis of Saliva Lipids in Breast and Prostate Cancer by IR Spectroscopy

The Impact of Sport Training on Oral Health in Athletes

Predicting Satiety from the Analysis of Human Saliva Using Mid-Infrared Spectroscopy Combined with Chemometrics

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