Correlation between human colon cancer specific antigens and Raman spectra. Attempting to use Raman spectroscopy in the determination of tumor markers for colon cancer.

Colorectal cancer is the second most common cause of cancer-related deaths worldwide. To follow up on the progression of the disease, tumor markers are commonly used. Here, we report serum analysis based on Raman spectroscopy to provide a rapid cancer diagnosis with tumor markers and two new cell adhesion molecules measured using the ELISA method. Raman spectra showed higher Raman intensities at 1447 cm-1 1560 cm-1, 1665 cm-1, and 1769 cm-1, which originated from CH2 proteins and lipids, amide II and amide I, and CO lipids vibrations. Furthermore, the correlation test showed, that only the CEA colon cancer marker correlated with the Raman spectra. Importantly, machine learning methods showed, that the accuracy of the Raman method in the detection of colon cancer was around 95 %. Obtained results suggest, that Raman shifts at 1302 cm-1 and 1306 cm-1 can be used as spectroscopy markers of colon cancer.

Extremely low frequency electromagnetic fields exposure during the prenatal and postnatal periods alters pro-inflammatory cytokines levels by gender.

Maternal exposure to the excessive electromagnetic fields is considered harmful to infants and associated with several health problems in life, such as neurological or immune diseases. In this present study we aimed to investigate the potential effects of extremely low-frequency electromagnetic field (ELF-EMF) exposure during the gestational and lactational period of dams on immune system parameters. The development of white blood cells (WBC), lymphocyte subpopulations (CD4+ T cells, CD8+ T cells, Natural Killer (NK) cells, and B cells) and production of T cell related cytokines were explored in the offsprings. Significant changes were found in WBC and lymphocyte counts. Although no changes in lymphocyte subunits were observed among groups, CD4+ cells were significantly increased in the female group exposed to ELF-EMF. Also, IL-17A and IFN-γ levels increased in plasma and spleen. The mean IL-4 level and the expression level of the IL-4 gene were not changed, in the experimental groups. But the expression of the IL-17A gene was also upregulated, which supports cytokine quantification analyses. In conclusion, ELF-EMF exposure in the prenatal and postnatal period increases the level of IL-17A in the spleen and blood of young female rats, and it upregulates IL-17 gene expression in the spleen, resulting in CD4+ cell proliferation and inflammation.

Maternal neglect results in reduced telomerase activity and increased oxidative load in rats.

A growing number of studies in humans have linked chronic stress, particularly during early life, to telomere shortening and increased oxidative stress. The effect of stress on telomerase activity, however, is understudied. Given the importance of telomere attrition in a wide range of diseases and immunosenescence, further research to elucidate the mechanisms by which stress alters telomere dynamics is required. However, animal studies are lacking, and it is not clear whether widely used stress models reliably mimic the accelerated telomere shortening observed humans. To this end, we evaluated the effect of maternal separation with early weaning (MSEW) on telomere length, telomerase activity, and oxidative load in rats. A total of 45 animals were used, (17 control: 3 males and 11 females and 28 MSEW: 11 males, 17 females), which were then sacrificed one year after birth. Importantly, we determined that telomerase activity measured in plasma was significantly decreased in the MSEW group, along with a non-significant reduction in telomere length from whole blood cells. We also examined the levels of three oxidative markers: plasma malondialdehyde, glutathione in erythrocytes, and plasma catalase activity. Malondialdehyde was found to be elevated in the plasma, indicating increased lipid peroxidation. Interestingly, while the antioxidant glutathione was upregulated, catalase activity remained unchanged. Our findings indicate that the rat MSEW model induces chronic changes to telomere dynamics and oxidative load and can capitulate long term aspects of human childhood stress.

Tocilizumab in COVID-19: The Cerrahpasa-PREDICT score.

BACKGROUND: Cytokine release syndrome (CRS), characterized by overproduction of proinflammatory cytokines in the course of severe coronavirus disease 2019 (COVID-19), has been suggested as the major cause of mortality. Tocilizumab, a recombinant humanized monoclonal antibody against human IL-6 receptor, poses a therapeutic option for the treatment of CRS leading to severe acute respiratory syndrome in coronavirus-2 (SARS-CoV-2) infection. METHODS: We performed a single-center retrospective study to reveal the outcome of COVID-19 patients on tocilizumab and proposed "the Cerrahpasa-PREDICT score", a new clinical scoring system using clinical and laboratory parameters that would help predicting the 28-day mortality of COVID-19 patients receiving tocilizumab. RESULTS: Eighty-seven patients (median age: 59 years) were included of whom 75.8% were male. Tocilizumab use significantly improved clinical and laboratory parameters. The 28-day mortality rate on tocilizumab was 16.1%. The Cerrahpasa-PREDICT score, consisting of platelet counts, procalcitonin, D-dimer levels, SO2R and the time from symptom onset to tocilizumab administration had a positive predictive value of 94.5% and negative predictive value of 92.9% for anticipating 28-day mortality. CONCLUSIONS: Severe COVID-19 should closely be monitored for the signs of hyperinflammation. We showed that administration of tocilizumab early in the course of the disease (prior to ICU admission) resulted in a favorable outcome. Close monitoring usually aids identifying patients who would benefit from tocilizumab. In this regard, the Cerrahpasa-PREDICT score might serve as a practical tool for estimating the 28-day mortality in COVID-19 patients who received tocilizumab and would facilitate timely recognition of fatal cases to be evaluated for other therapeutic options.

Metformin decreases testicular damages following ischaemia/reperfusion injury in rats.

The effects of metformin on a testicular torsion injury in adolescent rat testis after I/R were evaluated in the present study. Forty adolescent rats were divided into five groups with eight rats per group: a control group; a sham-operated group; an ischaemia group, where torsion was applied for 4 hr and testis was examined immediately after detorsion; an I/R group, where torsion was applied for 4 hr and the testis was examined 4 hr after detorsion; and an I/R + M group, where the metformin (300 mg/kg) administration was added to the identical procedures used for the I/R group. Spermatogenesis, basal membrane integrity and cleaved caspase-3 expression were assessed. The I/R + M group had a significantly higher Johnsen score than the I/R group (7.9 ± 0.1 vs. 7.5 ± 0.2; p < .001; F-value = 14.2). Failure of basal membrane integrity was highest in the ischaemia group (45 ± 5) compared to the other groups (control group, 20 ± 5; sham-operated group, 16.6 ± 2.8), but not different between the I/R + M (31.6 ± 12.5) and the I/R groups (25 ± 3.5). Cleaved caspase-3 expression was highest in the ischaemia group (73.5 ± 0.7), and significantly lower in the I/R + M group (33.4 ± 0.9) than the I/R group (58.5 ± 0.2; p < .05; F-value = 7.6). Metformin decreases testicular damage by exerting protection against the harmful effects of I/R on spermatogenesis and alleviating apoptosis in adolescent rat testis.

Investigation of the structural changes in the hippocampus and prefrontal cortex using FTIR spectroscopy in sleep deprived mice.

Sleep is a basic, physiological requirement for living things to survive and is a process that covers one third of our lives. Melatonin is a hormone that plays an important role in the regulation of sleep. Sleep deprivation affect brain structures and functions. Sleep deprivation causes a decrease in brain activity, with particularly negative effects on the hippocampus and prefrontal cortex. Despite the essential role of protein and lipids vibrations, polysaccharides, fatty acid side chains functional groups, and ratios between amides in brain structures and functions, the brain chemical profile exposed to gentle handling sleep deprivation model versus Melatonin exposure remains unexplored. Therefore, the present study, aims to investigate a molecular profile of these regions using FTIR spectroscopy measurement's analysis based on lipidomic approach with chemometrics and multivariate analysis to evaluate changes in lipid composition in the hippocampus, prefrontal regions of the brain. In this study, C57BL/6J mice were randomly assigned to either the control or sleep deprivation group, resulting in four experimental groups: Control (C) (n = 6), Control + Melatonin (C + M) (n = 6), Sleep Deprivation (S) (n = 6), and Sleep Deprivation + Melatonin (S + M) (n = 6). Interventions were administered each morning via intraperitoneal injections of melatonin (10 mg/kg) or vehicle solution (%1 ethanol + saline), while the S and S + M groups underwent 6 h of daily sleep deprivation from using the Gentle Handling method. All mice were individually housed in cages with ad libitum access to food and water within a 12-hour light-dark cycle. Results presented that the brain regions affected by insomnia. The structure of phospholipids, changed. Yet, not only changes in lipids but also in amides were noticed in hippocampus and prefrontal cortex tissues. Additionally, FTIR results showed that melatonin affected the lipids as well as the amides fraction in cortex and hippocampus collected from both control and sleep deprivation groups.

Detection of serum alterations in polysubstance use patients by FT-Raman spectroscopy.

Substance use disorders pose significant health risks and treatment challenges due to the diverse interactions between substances and their impact on physical and mental health. The chemical effects of multiple substance use on bodily fluids are not yet fully understood. Therefore, this study aimed to investigate the chemical changes induced by a combination of substances compared to a control group. Analysis of FT-Raman spectra revealed structural alterations in the amide III, I, and C = O functional groups of lipids in subjects treated with opioids, alcohol and cannabis (polysubstance group). These changes were evident in the form of peak shifts compared to the control group. Additionally, an imbalance in the amide-lipid ratio was observed, indicating perturbations in serum protein and lipid levels. Furthermore, a 2D plot of two-track two-dimensional correlation spectra (2T2D-COS) demonstrated a shift towards dominance of lipid vibrations in the polysubstance use groups, contrasting with the predominance of the amide fraction in the control group. This observation suggests distinct molecular changes induced by multiple substance use, potentially contributing to the pathophysiology of substance use disorders. Principal Component Analysis (PCA) was utilized to visualize the data structure and identify outliers. Subsequently, Partial Least Squares Discriminant Analysis (PLS-DA) was employed to classify the polysubstance use and control groups. The PLS-DA model demonstrated high classification accuracy, achieving 100.00 % in the training dataset and 94.74 % in the test dataset. Furthermore, receiver operating characteristic (ROC) analysis yielded perfect AUC values of 1.00 for both the training and test sets, underscoring the robustness of the classification model. This study highlights the quantitative and qualitative changes in serum protein and lipid levels induced by polysubstance use groups, as evidenced by FT-Raman spectroscopy. The findings underscore the importance of understanding the chemical effects of polysubstance use on bodily fluids for improved diagnosis and treatment of substance use disorders. Moreover, the successful classification of spectral data using machine learning techniques emphasizes the potential of these approaches in clinical applications for substance abuse monitoring and management.

Development of pseudotyped VSV-SARS-CoV-2 spike variants for the assessment of neutralizing antibodies.

Aim: Serological studies with pseudotyped viruses offer a safer alternative to live SARS-CoV-2 in evaluating neutralizing antibodies, enabling research in standard labs.Methods: The SARS-CoV-2 Spike pseudotyped vesicular stomatitis virus (VSV) pseudoviruses were generated using Spike of Wuhan strain and two variants (B.1.1.7, B.1.351) and utilized to evaluate the serum neutralizing activity of human plasma samples of vaccinated (n = 13) and healthy people (n = 2) compared with a plaque assay with authentic virus.Results: Neutralizing titer of convalescent plasma resulted with a good correlation (R2 = 0.7).Conclusion: We evaluated a safe and reliable pseudotyped virus system that effectively mimics authentic virus and correlates well with traditional assays. The developed system allows easier testing of variants and has the potential to improve vaccine development.

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An application of raman spectroscopy in combination with machine learning to determine gastric cancer spectroscopy marker.

BACKGROUND AND OBJECTIVE: Globally, gastric carcinoma (Gca) ranks fifth in terms of incidence and third in terms of mortality. Higher serum tumor markers (TMs) than those from healthy individuals, led to TMs clinical application as diagnostic biomarkers for Gca. Actually, there is no accurate blood test to diagnose Gca. METHODS: Raman spectroscopy is applied as an efficient, credible, minimally invasive technique to evaluate the serum TMs levels in blood samples. After curative gastrectomy, serum TMs levels are important in predicting the recurrence of gastric cancer, which must be detected early. The experimentally assesed TMs levels using Raman measurements and ELISA test were used to develop a prediction model based on machine learning techniques. A total of 70 participants diagnosed with gastric cancer after surgery (n = 26) and healthy (n = 44) were comrpised in this study. RESULTS: In the Raman spectra of gastric cancer patients, an additional peak at 1182 cm-1 was observed and, the Raman intensity of amide III, II, I, and CH2 proteins as well as lipids functional group was higher. Furthermore, Principal Component Analysis (PCA) showed, that it is possible to distinguish between the control and Gca groups using the Raman range between 800 and 1800 cm-1, as well as between 2700 and 3000 cm-1. The analysis of Raman spectra dynamics in gastric cancer and healthy patients showed, that the vibrations at 1302 and 1306 cm-1 were characteristic for cancer patients. In addition, the selected machine learning methods showed classification accuracy of more than 95%, while obtaining an AUROC of 0.98. Such results were obtained using Deep Neural Networks and the XGBoost algorithm. CONCLUSIONS: The obtained results suggest, that Raman shifts at 1302 and 1306 cm-1 could be spectroscopic markers of gastric cancer.

Applying spectrochemical analyses on venous disease patients treated by N-Butyl Cyanoacrylate Ablation Surgery.

BACKGROUND: The venous disease of the legs is a common disease among adults that may lead to a deterioration in the structure and concentration of biomolecules. N-Butyl Cyanoacrylate Ablation Surgery (NBCA) or cyanoacrylate embolization (CAE) technique to adhesive the saphenous vein is an alternative method for the treatment of venous disease. OBJECTIVE: We aimed to show what kind of changes occurs after CAE surgery using FTIR spectroscopy combined chemometrics. We compared before and after surgery blood sera of patients to find whether a correlation between spectral data and laboratory indexes. We studied the blood sera of those who suffered from varicose veins and treated them by CAE technique. METHODS: In order to examine the molecular profiles in blood sera who underwent the CAE technique of the great saphenous vein for the treatment we used Fourier Transform InfraRed spectroscopy (FTIR) spectroscopy of blood samples of patients before and after surgery as a fast diagnostic technique. To obtain information about the spectra variation among the types of samples Principal component analysis (PCA) was performed for fingerprint, amide II with amide I regions. To find normality among variations Partial Least Square P-P plot of residual was performed. RESULTS: Absorbance values were statistically significant only in amide II, amide I, and OH vibrations. In the blood collected before surgery, higher peaks area of α-helix and ß-harmonica were noticed. However, in both groups of samples, a higher amount of ß-harmonica was visible. Pearson correlation analysis showed that the value of white blood cells (WBC) correlate with absorbance at 2858 cm-1 wavenumber. Moreover, a correlation between neutrophil (NEU) and OH vibrations, and between hematocrit (HCT) and 1082 cm-1, were found. Furthermore, a high correlation Platelets (PLT) and FTIR peak at 1165 cm-1, was noticed. CONCLUSIONS: This methodology suggests with PCA analysis CAE caused structural and quantitative chemical changes in blood samples of patients.

Detection of the chemical changes in blood, liver, and brain caused by electromagnetic field exposure using Raman spectroscopy, biochemical assays combined with multivariate analyses.

The effects of the electromagnetic field on living organisms have been studied for several years. In this article, we showed what kind of cold change an extremely low-frequency electromagnetic field (ELF-MF) exposure 500 µT 50 Hz by using a Meritt Coil System causes in the samples of the brain and liver samples. To measure oxidative load, we measured malondialdehyde (MDA) and glutathione (GSH) levels. To identify the chemical changes, we collected Raman spectra of cerebellum, left brain, right brain and liver tissue from the control group of animals and from the animal, which were exposed to an electromagnetic field (ELF-MF group). Obtained results showed, that lipid peroxidation was increased and the antioxidant response was decreased. In the brain samples the shift of peaks corresponding to the amide III vibrations existed after ELF-MF exposure. Structural changes were detected in CH2 vibrations originating from lipids in both hemispheres. Additionally, the number of amide III bonds was increased with ELF-MF exposure in the cerebellum and left-brain tissue. In liver tissue higher Raman intensities were visible in the tissues from the ELF-MF group. In this group electromagnetic field also caused structural changes in lipids. Principal component analysis (PCA) showed, that it is possible to distinguish ELF-MF and control groups. Consequently, hierarchical component analysis (HCA) showed that tissues from ELF-MF and control groups separately created similarity with the groups. Obtained results suggest that the electromagnetic field caused structural and quantitative chemical changes in brain and liver tissue. Additionally, present data suggest that ELF-MF plays an important role in the regulation of enzyme activity and has effects on biochemical processes, possibly improved by production of ROS.

Detection of SARS-CoV-2 RNA in Upper Respiratory Swap Samples by Pooling Method

Background: Widespread and effective use of molecular diagnostic tests is indispensable for protecting public health and containing the severe respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic. More than 1 year into the pandemic, as resources have reached a point of depletion, grouping samples in pools of certain sizes appears to be a reasonable method to reduce both the costs and the processing time without necessitating additional training, equipment, or materials. Aims: To assess whether the pooling strategy that was used in past outbreaks and is used in blood tests prior to transfusion for screening large populations can also be used in SARS CoV-2 tests. Study Design: Diagnostic accuracy study. Methods: This prospective study was conducted with 2815 samples, sent to the coronavirus disease 2019 (COVID-19) Laboratory of our hospital between February 12 and 21, 2021, to be tested for the presence of SARS-CoV-2. The samples were examined individually and in pools of five 100 µl taken from each sequential sample, using 3 different SARS-CoV-2 reverse transcription-polymerase chain reaction (RT-PCR) kits, the Allplex™ 2019-nCoV Assay kit (Seegene, Republic of Korea), the GeneMAP™ 2019-nCoV detection V.3 kit (GenMark, Türkiye), and the Bio-Speedy™ SARS-CoV-2 Double Gene™ RT-qPCR kit (Bioeksen, Türkiye) on the BioRAD CFX96™ Touch (Bio-Rad Laboratories Inc., Hercules, CA, USA) platform available in our laboratory. Results: Following the extraction of serial dilutions prepared from the SARS-CoV-2 RNA positive (cycle of threshold: 20) sample, the standard curves of RT-PCR were analyzed. By evaluating the efficiency (E) values, all 3 kits showed high sensitivity and similar results; while the highest level was detected with the Allplex™ 2019-nCoV Assay kit in the nucleocapsid (N) gene (E: 124%), the lowest was detected with the Double Gene™ RT-qPCR kit in the N and ORF 1ab genes (E: 90%). Of the samples included in the study, only 1 positive sample with low viral load was found to be negative when studied by pooling. The total number of kits to be used in pooled tests and then to individually retest the 5 samples in positive pools was calculated as 827 and the savings rate as 69.91% (1968/2815). Conclusion: The pooling strategy is an effective approach to extend the impact of limited testing resources and reagents available in certain periods of the COVID-19 pandemic. Testing by pooling samples requires improvement of RNA extraction methods and careful monitoring of RT-PCR test sensitivity to avoid missing low-positive entities. Therefore, based on the prevalence of COVID-19 in their regions, laboratories should conduct their own validation of pooling studies for RNA extraction and amplification methods they use.

Real-life experience: sensitivity and specificity of nasal and saliva samples for COVID-19 diagnosis.

BACKGROUND: COVID-19 (coronavirus disease 2019) outbreak has spread rapidly around the world, continues to show its effect, and it is not clear how long it will continue. For the diagnosis of COVID-19, it is important to ensure the comfort of the patients and to protect the healthcare workers (HCWs) by reducing the use of protective equipment. AIMS: To evaluate or assess whether the samples taken by the patient for COVID-19 testing during this pandemic period can be used in real-life experience. METHODS: Three different samples (nasopharyngeal taken by the healthcare worker, nasopharyngeal, and saliva taken by the patient) from 132 patients were evaluated for the diagnosis of COVID-19. The sensitivity and specificity of the samples in the diagnosis of COVID-19 were compared with real-life experience. RESULTS: Paired analyzes were performed by comparing each sample taken by the healthcare worker with the sample taken by the patient. The sensitivity of the three samples (nasopharyngeal taken by the healthcare worker, nasopharyngeal, and saliva taken by the patient) in the diagnosis of the COVID-19 was (100%, 98.7%, and 96.1%, respectively) accepted to be accurate. CONCLUSIONS: The sample taken by the paramedic was compatible compared to the real-life experience for the samples taken by the patient in the COVID-19 pandemic period. During the pandemic that is unknown when it will end, this study demonstrated that taking the sample of the patient alone for the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) test is a beneficial approach to the protection of the healthcare worker, reducing the need for protective equipment, increasing the patient's comfort and rapid sampling.

UVC-LED-based face mask design and efficacy against common germs.

During the Covid-19 pandemic, one of the best means of personal protection was using face masks. In this context, the World Health Organization has declared the attempts to produce masks inactivating airborne virus species a welcome initiative. This preliminary study aimed to prove that airborne germs passing through a mask filter cartridge can be destroyed by the rays emitted from UVC LEDs placed in such cartridge. We therefore designed such a face mask and tested the efficiency of UVC LEDs placed in its cartridge against common contaminants, gram-positive Staphylococcus aureus, gram-negative Pseudomonas aeruginosa, and the influenza A/Puerto Rico/8/1934 virus because of its similarity with SARS CoV-2. Eight UVC LEDs with a total power of 75 mW provided sufficient germicidal effect for all three germs. In terms of safety, ozone production released during UVC LED emission was negligible. Our findings are promising, as they show that well-designed UVC-based face masks can be effective against airborne germs, but further research on a greater sample may help us learn more and optimise such face masks.

Cytogenetic analysis of early pregnancy loss after assisted reproduction treatment using intracytoplasmic sperm injection.

OBJECTIVES: To evaluate the incidence of numerical chromosomal abnormalities in the patients with early pregnancy loss (EPL) following in vitro fertilization, and evaluate the role of different confounders of the risk of chromosomal abnormality-related pregnancy loss. MATERIAL AND METHODS: A retrospective chart review of all patients from our in vitro fertilization (IVF) center who conceived using assisted reproduction techniques between April 2017 and 2019, who experienced a subsequent early pregnancy loss, and whose abortus materials were successfully karyotyped were included. RESULTS: Of the 243 patients experienced an early loss, the overall rate of chromosomal abnormality was 46.75%. The overall rate of aneuploidy in our patient group was 88.8% (64/72), whereas 6.94% (5/72) of the abnormal karyotypes were polyploid. The most common type of trisomy was Trisomy 16 (20.0%; 11/55) followed by Trisomy 15 (14.5%; 8/55). Univariate and multivariate analyses showed that maternal age (< 35 years) and the total number of retrieved oocytes per cycle (≥ 5) were risk factors for a chromosomal abnormality (< 0.001; < 0.05, respectively). The adjusted OR of karyotypic abnormalities was 0.45 for the antagonist cycle type (p < 0.05), and 0.58 for frozen embryo transfer (p < 0.05). CONCLUSIONS: Karyotypic abnormality is one of the main reasons for pregnancy loss following an IVF procedure. Although the pregnancy rates increased as a result of novel technologies, the ratio of EPL is still high. The implementation of preimplantation genetic screening techniques might lower the incidence of EPL due to chromosomal abnormalities, thus decreasing the burden on the physicians and the patients.

ICP-MS Analysis of Trace Element Concentrations in Cow's Milk Samples from Supermarkets in Istanbul, Turkey.

Milk is a very important content of the human diet. The present study was performed to determine the concentrations of trace and toxic trace elements in 21 different milk samples in Turkish supermarkets. We aimed to evaluate the potential health risks of toxic elements to humans through ingestion. The concentrations of 19 elements lithium (Li), beryllium (Be), chromium (Cr), manganese (Mn), cobalt (Co), nickel (Ni), copper (Cu), arsenic (As), selenium (Se), strontium (Sr), molybdenum (Mo), cadmium (Cd), antimony (Sb), barium (Ba), lead (Pb), bismuth (Bi), mercury (Hg), thallium (Tl), and uranium (U) in milk samples were determined by using inductively coupled plasma-mass spectrometry (ICP-MS). The accuracy and precision of the method were verified by experiments. Nutritional trace elements were found to be below their reference intake levels. Although we found wide variation between the toxic element levels in the samples, none of the concentrations reached a health-threatening level. This is the first study presenting a wide range of elements including the toxic ones in a different variety of milk samples sold throughout the Turkish supermarkets.

Trace Element Levels and Oxidant/Antioxidant Status in Patients with Alcohol Abuse.

Alcohol abuse is a well-known cause of imbalance in trace element levels and oxidant/antioxidant status of individuals with long time consumption. However, the levels of these parameters in the patients on the early stages of alcohol dependence without liver damage differ on various studies. The aim of our study was to measure the levels of trace elements in the serum and oxidative/antioxidative system members in the red blood cells (RBC) of early-stage alcoholic individuals and compare with control subjects. Our study included 21 male patients recently hospitalized for alcohol abuse and 25 healthy non-abusing male controls. Levels of Fe, Zn, and Cu in the serum and MDA, SOD, CAT, and GSH in the red blood cells (RBC) of the subjects were measured. Fe, Zn, and Cu levels were lower in the study group when compared to the controls. Levels of lipid peroxidation marker MDA was high, whereas the activities of antioxidant enzymes SOD and CAT were decreased in our study group. However, levels of GSH, an antioxidant compound were higher in the alcohol abuse group. RBC SOD levels were positively correlated with Fe, Cu, Zn, and CAT. There was a positive correlation between Fe-Cu, Zn-Fe, Zn-Cu, CAT-Zn, and CAT-SOD. MDA was negatively correlated with Fe, Zn, SOD, and CAT. The results obtained from present study indicate that high levels of alcohol intake are related with increased oxidative damage and decreased levels of antioxidant enzymes and trace elements. Additionally, antioxidant compensation mechanisms are still on process in the early stages of chronic alcohol exposure.

Investigation of the discrimination and characterization of blood serum structure in patients with opioid use disorder using IR spectroscopy and PCA-LDA analysis.

Harmful illicit drug use, such as opioid use disorder (OUD), causes multiple diseases that result in physiological, pathological, and structural changes in serum biochemical parameters based on the period of use. Fourier-transform infrared (FTIR) spectrometry is a noninvasive optical technique that can provide accurate evidence about the biochemical compounds of analytical samples. This technique is based on the detection of functional groups and the spectral analysis of the region of the selected bands, which provides a reliable and accurate tool for evaluating changes in the biochemical parameters of OUD patients. In the present study, the Attenuated Total Reflection (ATR)-FTIR technique and clinical laboratory biochemical results were used to investigate the phospholipid-protein balance in the blood serum of participants with OUD by comparing their data to that of healthy controls. To compare the biochemical laboratory results with serum vibrational spectroscopy, we used infrared (IR) spectroscopy to distinguish the serum of the OUD patients, who had an average duration of use of 7.31 ± 3.8 years (ranging from 6 to 15 years). We aimed to compare the clinical reports with findings from IR spectroscopy coupled with chemometrics analysis, principal component analysis (PCA), and linear discriminant analysis (LDA). The serum samples of the OUD male patients (n = 20) and healthy male individuals (n = 14) were evaluated using FTIR spectroscopy (range of 4000 cm-1 - 400 cm-1). We focused on the areas where the results showed significant band differences and significant chemometric differences at the fingerprint region (1800 cm-1- 900 cm-1), Amide I (1700 cm-1-1600 cm-1), C-H stretching band (3000 cm-1-2800 cm-1), triglyceride (Tg) levels and cholesterol esters (1800 cm-1-1700 cm-1), and total protein region (1700 cm-1 -1350 cm-1). The intensity of these band areas was significantly different (p < 0.01) between OUD patients and healthy controls. Moreover, different bands on the serum spectrum of the OUD patients were explored. The results successfully specified the distinctions between OUD and the healthy controls (HCs). We compared the results with biochemical markers, such as albumin (Alb), Tg, and total cholesterol (Tc) levels of the patients, as well as the data of the healthy subjects obtained from the hospital. Additionally, we found that the Tg, Tc, and Alb levels decreased as the duration of heroin use increased based on the biochemical markers of the OUD patients. The laboratory biochemical reports and the vibrational spectroscopic analysis were correlated. The confidence of specificity, sensitivity, and accuracy was 100%, 92.85%, and 97.06% in the second derivative, respectively. Thus, we demonstrated that IR spectroscopy, multivariate data analysis, and clinical reports are consistent and correlated. Furthermore, FTIR is a simple and readily available diagnostic test that can successfully differentiate the serum samples of OUD patients from those of healthy subjects.

Biochemical assay and spectroscopic analysis of oxidative/antioxidative parameters in the blood and serum of substance use disorders patients. A methodological comparison study.

Substance abuse such as opioids, cannabis, and alcohol causes activation on the immune system and the release of reactive oxygen species (ROS) into the blood and serum. These substances cause an effect on oxidant and antioxidant status in patients with substance abuse. Mainly, wide-open to the ROS are lipids and proteins included blood, which suffers peroxidation. In this study, for the first-time differentiation of the effects of cannabis, alcohol and other synthetic substances on blood and serum samples, were performed. For this purpose, the level of the malondialdehyde (MDA) and glutathione (GSH) in serum and red blood cells, was measured using biochemical assay methods and Fourier Transform InfraRed spectroscopy (FTIR). The results showed, that peroxidation which is dignified as the production of MDA was increased for substance use disorder (SUD) patients (18.01 ±â€¯2.97) compared to the control group (10.75 ±â€¯2.28) (p < 0.001) and for antioxidant capacity, GSH level were significantly increased for SUD patients (p < 0.001). For the discrimination of protein and lipid region obtained from FTIR spectroscopy, we extracted features by principal component analyze (PCA) of protein (1800 cm-1 to 900 cm-1) and lipid (3200 cm-1 to 2800 cm-1) regions for blood and serum samples collected from patients with different types of SUD and healthy control (HC) participants. For the consideration of lipid oxidation, lipid saturation, lipid desaturation and protein aggregation the peak heights at 1740 cm-1 to 2960 cm-1, 2920 cm-1 to 2960 cm-1, 3012 cm-1 to 2960 cm-1, and 1630 cm-1 to 1650 cm-1 regions were studied for SUD and HC. Moreover, more visible changes were noticed for proteins region, than for lipids. The most notice structural changes were observed in amide II in serum spectra. Then we classified protein and lipid region's PCA results of blood and serum by Linear discriminant analysis (LDA) and Support vector machine (SVM). Confidence of the specificity, sensitivity and accuracy of blood and serum were obtained as 100%, 100% and 100% individually. This is the first comparative study on the spectrochemical tool and biochemical assay on SUD. Our results presented 100% discrimination of disorder region compared to healthy subjects.