The coronavirus disease 2019 (COVID-19) is the latest biological hazard for the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Even though numerous diagnostic tests for SARS-CoV-2 have been proposed, new diagnosis strategies are being developed, looking for less expensive methods to be used as screening. This study aimed to establish salivary vibrational modes analyzed by attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy to detect COVID-19 biological fingerprints that allow the discrimination between COVID-19 and healthy patients. Clinical dates, laboratories, and saliva samples of COVID-19 patients (N = 255) and healthy persons (N = 1209) were obtained and analyzed through ATR-FTIR spectroscopy. Then, a multivariate linear regression model (MLRM) was developed. The COVID-19 patients showed low SaO 2 , cough, dyspnea, headache, and fever principally. C-reactive protein, lactate dehydrogenase, fibrinogen, d -dimer, and ferritin were the most important altered laboratory blood tests, which were increased. In addition, changes in amide I and immunoglobulin regions were evidenced in the FTIR spectra analysis, and the MLRM showed clear discrimination between both groups. Specific salivary vibrational modes employing ATR-FTIR spectroscopy were established; moreover, the COVID-19 biological fingerprint in saliva was characterized, allowing the COVID-19 detection using an MLRM, which could be helpful for the development of new diagnostic devices.
【저자키워드】 Medical research, biologics, 【초록키워드】 COVID-19, coronavirus disease, SARS-CoV-2, Saliva, Coronavirus disease 2019, coronavirus, diagnostic test, diagnostic, Diagnosis, C-reactive protein, ferritin, cough, headache, lactate dehydrogenase, Laboratory, Region, Immunoglobulin, diagnostic tests, clinical, Fever, Dyspnea, fibrinogen, discrimination, respiratory, patients, COVID-19 patients, Lactate, Analysis, COVID-19 patient, biological hazard, blood tests, acute respiratory syndrome, Fourier transform, acute respiratory syndrome coronavirus, acute respiratory syndrome coronavirus 2, both groups, d -dimer, saliva samples, Specific, Linear regression model, salivary, analyzed, detect, healthy, addition, characterized, less, changes in, evidenced, 【제목키워드】 Analysis, COVID-19 positive patient,