Forecasting extremely high ischemic stroke incidence using meteorological time serie.

MOTIVATION: The association between weather conditions and stroke incidence has been a subject of interest for several years, yet the findings from various studies remain inconsistent. Additionally, predictive modelling in this context has been infrequent. This study explores the relationship of extremely high ischaemic stroke incidence and meteorological factors within the Slovak population. Furthermore, it aims to construct forecasting models of extremely high number of strokes. METHODS: Over a five-year period, a total of 52,036 cases of ischemic stroke were documented. Days exhibiting a notable surge in ischemic stroke occurrences (surpassing the 90th percentile of historical records) were identified as extreme cases. These cases were then scrutinized alongside daily meteorological parameters spanning from 2015 to 2019. To create forecasts for the occurrence of these extreme cases one day in advance, three distinct methods were employed: Logistic regression, Random Forest for Time Series, and Croston's method. RESULTS: For each of the analyzed stroke centers, the cross-correlations between instances of extremely high stroke numbers and meteorological factors yielded negligible results. Predictive performance achieved by forecasts generated through multivariate logistic regression and Random Forest for time series analysis, which incorporated meteorological data, was on par with that of Croston's method. Notably, Croston's method relies solely on the stroke time series data. All three forecasting methods exhibited limited predictive accuracy. CONCLUSIONS: The task of predicting days characterized by an exceptionally high number of strokes proved to be challenging across all three explored methods. The inclusion of meteorological parameters did not yield substantive improvements in forecasting accuracy.

Discordant ALK Status in Non-Small Cell Lung Carcinoma: A Detailed Reevaluation Comparing IHC, FISH, and NGS Analyses.

ALK detection was performed on 2813 EGFR-unmutated NSCLC cases by simultaneous use of immunohistochemistry (VENTANA® anti-ALK D5F3, Roche Molecular Systems, Inc., Rotkreuz, Switzerland) and fluorescence in situ hybridization with the ALK break apart and the ALK/EML4 fusion probe (ZytoVision, Bremerhaven, Germany). A total of 33 cases were positive discordant (FISH-positive, IHC-negative) and 17 cases were negative discordant (FISH-negative, IHC-positive). This study's aim was to reevaluate the methods used and compare discordant samples to positive concordant samples in order to ellucidate the differences. FISH signal variants were examined and compared. Positive discordant cases featured one pattern of ALK rearrangement in 41.4%, two patterns in 48.3%, and three patterns in 10.3% of analysed samples, with a higher variability of detected patterns and a higher number of ALK copy gains. Positive concordant cases displayed one pattern of rearrangement in 82%, two patterns in 17.8%, and three patterns in 0.6% of analysed samples. The association between number of patterns and concordance/discordance was statistically significant (p < 0.05). Eleven positive discordant and two negative concordant cases underwent NGS analysis, which resulted in identification of ALK fusion in one positive discordant and two negative discordant cases. Positive protein expression regardless of FISH result correlated more with a positive NGS result compared to samples with a positive FISH result with negative protein expression. FISH analysis was able to detect atypical or heterogenous patterns of rearrangement in a proportion of cases with negative protein expression, which may be associated with more extensive genetic alterations rather than true ALK rearrangement.

Brain of miyoshi myopathy/dysferlinopathy patients presents with structural and metabolic anomalies.

Miyoshi myopathy/dysferlinopathy (MMD) is a rare muscle disease caused by DYSF gene mutations. Apart from skeletal muscles, DYSF is also expressed in the brain. However, the impact of MMD-causing DYSF variants on brain structure and function remains unexplored. To investigate this, we utilized magnetic resonance (MR) modalities (MR volumetry and 31P MR spectroscopy) in a family with seven children, four of whom have the illness. The MMD siblings showed distinct differences from healthy controls: (1) a significant (p < 0.001) right-sided volume asymmetry (+ 232 mm3) of the inferior lateral ventricles; and (2) a significant (p < 0.001) decrease in [Mg2+], along with a modified energy metabolism profile and altered membrane turnover in the hippocampus and motor and premotor cortices. The patients' [Mg2+], energy metabolism, and membrane turnover measures returned to those of healthy relatives after a month of 400 mg/day magnesium supplementation. This work is the first to describe anatomical and functional abnormalities characteristic of neurodegeneration in the MMD brain. Therefore, we call for further examination of brain functions in larger cohorts of MMD patients and testing of magnesium supplementation, which has proven to be an effective corrective approach in our study.

Hybrid Artificial Intelligence Solution Combining Convolutional Neural Network and Analytical Approach Showed Higher Accuracy in A-lines Detection on Lung Ultrasound in Thoracic Surgery Patients Compared with Radiology Resident.

OBJECTIVES: Lung ultrasound reduces the number of chest X-rays after thoracic surgery and thus the radiation. COVID-19 pandemic has accelerated research in lung ultrasound artifacts detection using artificial intelligence. This study evaluates the accuracy of artificial intelligence in A-lines detection in thoracic surgery patients using a novel hybrid solution that combines convolutional neural networks and analytical approach and compares it with a radiology resident and radiology experts' results. DESIGN: Prospective observational study. MATERIAL AND METHODS: Single-center study evaluates the accuracy of artificial intelligence and a radiology resident in A-line detection on lung ultrasound footages compared with the consensual opinion of two expert radiologists as the reference. After resident's first reading, the artificial intelligence results were presented to the resident and he was asked to revise the results based on artificial intelligence. RESULTS: 82 consecutive patients underwent 82 ultrasound examinations. 328 ultrasound recordings were evaluated. Accuracy, sensitivity, specificity, positive and negative predictive values of artificial inelligence in A-line detection were 0.866, 0.928, 0.834, 0.741 and 0.958 respectively. The resident's values were 0.558, 0.973, 0.346, 0.432 and 0.962 respectively. The resident's values after correction based on artificial intelligence results were 0.854, 0.991, 0.783, 0.701 and 0.994 respectively. CONCLUSION: Artificial intelligence showed high accuracy in A-line detection in thoracic surgery patients and was more accurate compared to a resident. Artificial intelligence could play important role in lung ultrasound artifact detection in thoracic surgery patients and in residents' education.

Desmoplasia in non-small cell lung carcinomas is associated with low programmed death-ligand 1 expression and the absence of tumor-infiltrating lymphocytes.

Programmed death-ligand 1 (PD-L1) is the most widely utilized predictive marker used to identify non-small cell lung carcinoma (NSCLC) patients most suitable for immunotherapy approaches. The relationship between PD-L1 expression, the presence of CD8+ T cells, and other clinicopathological characteristics of NSCLC patients has not been elucidated yet. In this retrospective study, we immunohistochemically determined PD-L1 expression (using clone 22C3) and CD8+ T cell count (using clone c8/144B) in surgical resection specimens from 698 advanced NSCLC patients. Results of PD-L1 expression and CD8+ T cell count were correlated to various clinicopathological characteristics, including the presence of desmoplasia in NSCLC. Regarding the immunological attributes of the tumor microenvironment, we identified major differences between desmoplastic and non-desmoplastic areas in NSCLC. Tumor areas without desmoplasia were significantly more often PD-L1 positive than tumor cell clusters encased in a dense collagenous stroma (p=0.004). Furthermore, the desmoplastic stroma contained significantly less often an immune cell infiltrate rich in CD8+ T cells (p<0.001). Also, the positivity of PD-L1 significantly correlated with advanced N-stage (p<0.001) and poor differentiation in adenocarcinomas (p=0.032) but not with other clinicopathological characteristics. In conclusion, to our knowledge, this is the first study that points to major differences in terms of immunological attributes between desmoplastic and non-desmoplastic areas in NSCLC. The desmoplastic component, therefore, may represent an immunologically distinct tumor area in which PD-L1 immunohistochemistry and CD8+ T cell count should be evaluated separately.

The effects of Rhus coriaria L. (sumac) and Cinnamomum zeylanicum L. bark on serum cytokine levels in rat mammary carcinogenesis.

The purpose of this study was to assess the potential effects of Rhus coriaria L. (sumac) and of Cinnamomum zeylanicum L. bark on the selected serum cytokines as possible serum tumor markers - interleukin-6 (IL-6), interleukin-10 (IL-10), and tumor necrosis factor-α (TNF-α) in the rat model of mammary carcinogenesis. R. coriaria and C. zeylanicum bark were used as the chemopreventive-therapeutic agents taken by rats in the powder form in the diet at two different concentrations during the entire period of two experiments carried out separately: lower concentration 1 g/kg - 0.1% and higher concentration 10 g/kg - 1%. The serum levels of cytokines of IL-6, IL-10, and TNF-α were determined using an enzyme-linked immunosorbent assay. In the first experiment treated with R. coriaria, a significant decrease in serum levels of IL-6 and TNF-α was present at higher concentrations compared to the chemoprevention-free control group. R. coriaria at lower concentrations non-significantly reduced the serum levels of IL-6 and TNF-α when compared to controls. A significant decrease in serum levels of TNF-α was present at higher concentrations compared to lower concentrations. The significant effect of R. coriaria on the serum levels of IL-10 was not observed. In the second experiment treated with C. zeylanicum bark, a significant decrease in serum levels of IL-6 was observed in lower and higher concentrations compared to the chemoprevention-free control group. C. zeylanicum bark non-significantly reduced the serum levels of TNF-α and had no effect on the serum levels of IL-10. In conclusion, R. coriaria and C. zeylanicum bark demonstrated significant anti-inflammatory effects by analyzing the selected serum cytokine levels in the rat breast carcinoma model. Observed anti-inflammatory effects of both plant-natural substances were associated with their anticancer activities in rats.

Differential gene expression of immunity and inflammation genes in colorectal cancer using targeted RNA sequencing.

Introduction: Colorectal cancer (CRC) is a heterogeneous disease caused by molecular changes, as driver mutations, gene methylations, etc., and influenced by tumor microenvironment (TME) pervaded with immune cells with both pro- and anti-tumor effects. The studying of interactions between the immune system (IS) and the TME is important for developing effective immunotherapeutic strategies for CRC. In our study, we focused on the analysis of expression profiles of inflammatory and immune-relevant genes to identify aberrant signaling pathways included in carcinogenesis, metastatic potential of tumors, and association of Kirsten rat sarcoma virus (KRAS) gene mutation. Methods: A total of 91 patients were enrolled in the study. Using NGS, differential gene expression analysis of 11 tumor samples and 11 matching non-tumor controls was carried out by applying a targeted RNA panel for inflammation and immunity genes containing 475 target genes. The obtained data were evaluated by the CLC Genomics Workbench and R library. The significantly differentially expressed genes (DEGs) were analyzed in Reactome GSA software, and some selected DEGs were used for real-time PCR validation. Results: After prioritization, the most significant differences in gene expression were shown by the genes TNFRSF4, IRF7, IL6R, NR3CI, EIF2AK2, MIF, CCL5, TNFSF10, CCL20, CXCL11, RIPK2, and BLNK. Validation analyses on 91 samples showed a correlation between RNA-seq data and qPCR for TNFSF10, RIPK2, and BLNK gene expression. The top differently regulated signaling pathways between the studied groups (cancer vs. control, metastatic vs. primary CRC and KRAS positive and negative CRC) belong to immune system, signal transduction, disease, gene expression, DNA repair, and programmed cell death. Conclusion: Analyzed data suggest the changes at more levels of CRC carcinogenesis, including surface receptors of epithelial or immune cells, its signal transduction pathways, programmed cell death modifications, alterations in DNA repair machinery, and cell cycle control leading to uncontrolled proliferation. This study indicates only basic molecular pathways that enabled the formation of metastatic cancer stem cells and may contribute to clarifying the function of the IS in the TME of CRC. A precise identification of signaling pathways responsible for CRC may help in the selection of personalized pharmacological treatment.

Immunobiochemical profile of clear cell renal cell carcinoma (ccRCC): A preliminary study.

Clear cell renal cell carcinoma (ccRCC) is the most common variant of RCC. It is an aggressive disease with an unfavorable prognosis. The rich immune infiltrates present in the tumor microenvironment (TME) of ccRCC produce various signaling molecules, especially cytokines, which primarily activate the Jak/STAT pathway and significantly influence tumor pathogenesis. STAT3 has a well-defined oncogenic character. Using multiplex assays and ELISA, we have measured the concentrations of 27 cytokines and STAT3 in tumor and healthy renal tissue from 16 patients with histologically verified ccRCC. We have detected significantly higher levels of G-CSF, IL-6, CXCL10, CCL3, and CCL4 in tumor tissue than in their healthy counterparts. There were significant differences in the levels of IL-1ß and PDGF-BB between tumors of different nuclear grades (NG). Intratumoral IL-12p70 and IL-15 showed a significant positive correlation with intratumoral STAT3. The concentration of STAT3 in tumors was significantly lower than in the kidney. An increase in tumor STAT3 levels was associated with an increase in the pathological stage of the disease (TNM), but not with NG. The results of our study confirm the significant role of various cytokines and STAT3 in the pathogenesis of ccRCC and indicate their clinical relevance.

The role of computed tomography pulmonary angiography in COVID-19 patients with suspected pulmonary embolism.

OBJECTIVES: This study is aimed to determine the location and distribution of pulmonary embolism (PE) and presence of signs potentially indicative of right heart overload on computed tomography pulmonary angiography (CTPA) in COVID-19 and non-COVID-19 patients. We also evaluated the extent and severity of COVID-19-associated lung changes in relation to PE. METHODS: The total number of 1,698 patients with CTPA included in the study were divided into 2 groups according to their COVID-19 status and each group was divided into 2 subgroups based on their PE status. These groups and subgroups were compared in terms of location of PE, diameter of pulmonary artery, right heart strain, ground-glass opacities (GGO), consolidations and other imaging features. RESULTS: In COVID-19 patients, there was a significant predominance of PE in peripheral branches of pulmonary artery (p < 0.001). There was an increased right-to-left ratio of ventricular diameters in cases with PE (p = 0.032 in patients with COVID-19 and p < 0.001 in non-COVID-19 patients). There was no association between the extent and severity of the disease and distribution of PE. CONCLUSION: COVID-19 is associated with a higher incidence of peripheral location of PE and presence of GGO. There were signs indicative of right heart overload in cases with PE regardless of COVID-19 (Tab. 3, Fig. 1, Ref. 29) Keywords: COVID-19, computed tomography, CTPA, pneumonia, pulmonary embolism.

Hypermethylated GRIA4, a potential biomarker for an early non-invasive detection of metastasis of clinically known colorectal cancer.

Introduction: Colorectal cancer (CRC) can develop through several dysregulated molecular pathways, including the serrated pathway, characterized by CpG island methylator (CIMP) phenotype. Although the tumor tissue is a commonly tested material, sample types such as stool or plasma, bring a new, non-invasive approach. Several cancer-related methylated genes have been identified in CRC patients, including gene GRIA4, showing promising diagnostic potential. The aim of our study was to develop a sensitive droplet digital PCR (ddPCR) assay to examine GRIA4 hypermethylation status in CRC patients and evaluate its diagnostic potential in tissue and liquid biopsy samples. Methods: In total, 23 patients participated in this study, 7 patients with primary CRC and 16 patients with liver metastasis of clinically known CRC. We obtained tumor and non-tumor tissues (N=17), blood samples pre- and post-surgery (N=22), and blood of five volunteers without a personal cancer history. We have developed and optimized a ddPCR assay for GRIA4 hypermethylation detection, from tissue and plasma samples. Results: We detected significantly increased GRIA4 methylation in tumor tissues compared to their adjacent non-tumor tissue, p<0.0001. Receiver operating characteristic (ROC) analysis defined cutoff values to separate primary tumors and metastases from non-tumor colon/rectum, specifically 36.85% for primary tumors and 34.81% for metastases. All primary tumors were above this threshold. When comparing the methylation levels of metastatic vs. non-tumor tissue, a smaller increase was observed in liver metastasis versus colon tissue (3.6× gain; p=0.001), then in liver metastasis versus adjacent liver tissue (17.4× gain; p<0.0001). On average, GRIA4 hypermethylation in primary tumor plasma was 2.8-fold higher (p=0.39), and in metastatic plasma, 16.4-fold higher (p=0.0011) compared to healthy individuals. Hypermethylation in metastatic plasma was on average 5.9 times higher (p=0.051) than in primary tumor plasma. After tumor removal surgery, average hypermethylation decrease in plasma was 1.6× for primary (p=0.037) and 4.5× for metastatic patients (p=0.023). Discussion: Based on our data, it can be inferred that GRIA4 serves as a tissue specific biomarker for the colon/rectum tissue, thus is suitable for cancer classification. This biomarker showed the potential to be an attractive target for early non-invasive detection of metastases of clinically known CRC, although additional analysis has to be performed.

Expression of OCT4 isoforms is reduced in primary colorectal cancer.

Introduction: Colorectal cancer (CRC) is one of the most common types of cancer worldwide. The carcinogenesis of CRC is indeed complex, and there are many different mechanisms and pathways that contribute to the development of malignancy and the progression from primary to metastatic tumors. The OCT4A, encoded by the POU5F1 gene, is a transcription factor responsible for the phenotype of stem cells, maintaining pluripotency and regulation of differentiation. The POU5F1 gene is made up of five exons that can create numerous isoforms through alternative promoter or alternative splicing. In addition to OCT4A, other isoforms called OCT4B are also translated into protein; however, their role in cells has been unclear. The aim of our work was to investigate the expression patterns of OCT4 isoforms in primary and metastatic CRC, providing us with useful information about their role in the development and progression of CRC. Methods: Surgical specimens from a total of 78 patients were collected and isolated from primary tumors (n = 47) and metastases (n = 31). The relative gene expression of OCT4 isoforms was investigated using the RT-qPCR method together with the TaqMan probes for particular OCT4 isoforms. Results: Our results suggest significantly downregulated expression of the OCT4A and OCT4Bs isoforms in both primary (p = 0.0002 and p < 0.0001, respectively) and metastatic tumors (p = 0.0006 and p = 0.00051, respectively) when compared with the control samples. We also observed a correlation between reduced expression of all OCT4 isoforms and both primary and left-sided tumors (p = 0.001 and p = 0.030, respectively). On the other hand, the expression of all OCT4 isoforms was significantly upregulated in metastases compared with primary tumors (p < 0.0001). Discussion: Unlike previous reports, we found out that the expression of OCT4A, OCT4Bs, and all OCT4 isoforms was significantly reduced in primary tumors and metastases compared with control samples. On the other hand, we supposed that the expression rate of all OCT4 isoforms may be related to the cancer type and side, as well as to liver metastases. However, further studies are required to investigate the detailed expression patterns and significance of individual OCT4 isoforms in carcinogenesis.

Association between pulmonary embolism and COVID-19 disease.

OBJECTIVES: The current retrospective study focused on evaluation of the relationship between pulmonary embolism during COVID-19 pandemic and demographic, presenting symptoms, comorbidities and laboratory results in patients who underwent CT angiography of the pulmonary arteries. METHODS: The study enrolled all adult patients with suspected acute pulmonary embolism (PE) who underwent computed tomography pulmonary angiography (CTPA) between March 1, 2020, and April 30, 2022, during the SARS-CoV-2 pandemic. 1698 CTPAs were reviewed and various data were collected. Based on examination results, patients were divided into 4 groups: a group with positive PE and a group with negative PE for both COVID-19 and non-COVID-19 patients. RESULTS: When comparing different predictors of COVID-19 patients and non-COVID-19 patients we noticed lower probability of PE in female gender (OR 0.77, 95% CI: 0.60-1.00, p = 0.052) and in chronic obstructive pulmonary disease (COPD) patients (OR 0.6, 95% CI: 0.38-0.90, p = 0.017). Higher probability of PE was in cases of older age (OR 1.02, 95% CI: 1.01-1.02, p < 0.001), increased heart rate (OR 1.01, 95% CI: 1.01-1.02, p < 0.001) and increased D-dimer levels (OR 1.03, 95% CI: 1.02-1.04, p < 0.001). CONCLUSION: Considering predictors of PE there was a significantly lower risk of PE in the female gender and COPD, and a higher risk with increasing age, heart rate, and D-dimer levels.

The Potential of Liquid Biopsy in Detection of Endometrial Cancer Biomarkers: A Pilot Study.

Endometrial cancer belongs to the most common gynecologic cancer types globally, with increasing incidence. There are numerous ways of classifying different cases. The most recent decade has brought advances in molecular classification, which show more accurate prognostic factors and the possibility of personalised adjuvant treatment. In addition, diagnostic approaches lag behind these advances, with methods causing patients discomfort while lacking the reproducibility of tissue sampling for biopsy. Minimally invasive liquid biopsies could therefore represent an alternative screening and diagnostic approach in patients with endometrial cancer. The method could potentially detect molecular changes in this cancer type and identify patients at early stages. In this pilot study, we tested such a detection method based on circulating tumour DNA isolated from the peripheral blood plasma of 21 Slovak endometrial cancer patients. We successfully detected oncomutations in the circulating DNA of every single patient, although the prognostic value of the detected mutations failed to offer certainty. Furthermore, we detected changes associated with clonal hematopoiesis, including DNMT3A mutations, which were present in the majority of circulating tumour DNA samples.

Safety and efficacy of simple training protocol in patients after mild traumatic brain injury.

AIMS: Mild Traumatic Brain Injury (mTBI) is the most common type of craniocerebral injury. Proper management appears to be a key factor in preventing post-concussion syndrome. The aim of this prospective study was to evaluate the effect and safety of selected training protocol in patients after mTBI. METHODS: This was a prospective study that included 25 patients with mTBI and 25 matched healthy controls. Assessments were performed in two sessions and included a post-concussion symptoms questionnaire, battery of neurocognitive tests, and magnetic resonance with tractography. Participants were divided into two groups: a passive subgroup with no specific recommendations and an active subgroup with simple physical and cognitive training. RESULTS: The training program with slightly higher initial physical and cognitive loads was well tolerated and was harmless according to the noninferiority test. The tractography showed overall temporal posttraumatic changes in the brain. The predictive model was able to distinguish between patients and controls in the first (AUC=0.807) and second (AUC=0.652) sessions. In general, tractography had an overall predictive dominance of measures. CONCLUSION: The results from our study objectively point to the safety of our chosen training protocol, simultaneously with the signs of slight benefits in specific cognitive domains. The study also showed the capability of machine learning and predictive models in mTBI patient recognition.

Small-scale variants and large deletions in BRCA1/2 genes in Slovak high-grade serous ovarian cancer.

The role of PARP inhibitors is to prevent the polymerase from repairing the single-strand break that occurred due to tumor growth and thus induce cell apoptosis when the homologous recombination deficiency (HRD) system is disabled. The eliminated system can be monitored especially in patients with serous ovarian epithelial tumors. Current studies still show the highest progression-free survival (PFS) in the examined groups with BRCA mutant status, even though they are also effective in the case of a disrupted HRD system, apart from BRCA genes. The study cohort consists of women diagnosed with high-grade serous ovarian cancer (HGSOC), after at least two lines of chemotherapy and after relapse of the disease, as determined by ESMO standards and guidelines. The commercially available tool SOPHIA DDM™ (SophiaGenetics, Switzerland) was used to classify the variants after sequencing. The most common variants (pathogenic or likely pathogenic) were in BRCA1 c.1067 A>G (rs1799950) and c.5266dupC (rs80357906) and in BRCA2 c.9976 A>T (rs11571833). Large deletions were detected in one and three cases in the BRCA1 and BRCA2 genes, respectively. A mutation in the BRCA1/2 genes was confirmed in 50% of the examined patients. In the study, we focused on the identification of mutated BRCA genes by a commercially available Sophia DDM™ system to identify a pathogenic or probable pathogenic variant in a cohort of patients with HGSOC in the Slovak population, which could result in better management and stratification of the individual.

Gut Microbiota and Serum Metabolites in Individuals with Class III Obesity Without Type 2 Diabetes Mellitus: Pilot Analysis.

Background: Gut microbial composition seems to change in association with prediabetes. The purpose of this prospective cross-sectional study was to compare the composition of gut microbiota and energy metabolites between individuals with class III obesity but without type 2 diabetes mellitus (OB) and healthy normal weight controls. Methods: The subjects of this prospective cross-sectional study were participants recruited from a previous clinical trial (No: NCT02325804), with intervention focused on weight loss. We recruited 19 OB [mean age ± standard deviation (SD) was 35.4 ± 7.0 years, mean body mass index (BMI) ± SD was 48.8 ± 6.7 kg/m2] and 23 controls (mean age ± SD was 31.7 ± 14.8 years, mean BMI ± SD was 22.2 ± 1.7 kg/m2). Their fecal microbiota was categorized using specific primers targeting the V1-V3 region of 16S rDNA, whereas serum metabolites were characterized by nuclear magnetic resonance spectroscopy. Multivariate statistical analysis and Random Forest models were applied to discriminate predictors with the highest variable importance. Results: We observed a significantly lower microbial α-diversity (P = 0.001) and relative abundance of beneficial bacterium Akkermansia (P = 0.001) and the short-chain fatty acid-producing bacteria Eubacterium hallii (P = 0.019), Butyrivibrio (P = 0.024), Marvinbryantia (P = 0.010), and Coprococcus (P = 0.050) and a higher abundance of the pathogenic bacteria Bilophila (P = 0.018) and Fusobacterium (P = 0.022) in OB compared with controls. Notably, the Random Forest machine learning analysis identified energy metabolites (citrate and acetate), HOMA-IR, and insulin as important predictors capable of discriminating between OB and controls. Conclusions: Our results suggest that changes in gut microbiota and in serum acetate and citrate are additional promising biomarkers before progression to Type 2 diabetes. The non-invasive manipulation of gut microbiota composition in OB through a healthy lifestyle, thus, offers a new approach for managing class III obesity and associated disorders. ClinicalTrials.gov identifier: NCT02325804.

Sensitive SARS-CoV-2 detection, air travel Covid-19 testing, variant determination and fast direct PCR detection, using ddPCR and RT-qPCR methods.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) monitoring in air traffic is important in the prevention of the virus spreading from abroad. The gold standard for SARS-CoV-2 detection is RT-qPCR; however, for early and low viral load detection, a much more sensitive method, such as droplet digital PCR (ddPCR), is required. Our first step was to developed both, ddPCR and RT-qPCR methods, for sensitive SARS-CoV-2 detection. Analysis of ten swab/saliva samples of five Covid-19 patients in different stages of disease showed positivity in 6/10 samples with RT-qPCR and 9/10 with ddPCR. We also used our RT-qPCR method for SARS-CoV-2 detection without the need of RNA extraction, obtaining results in 90-120 minutes. We analyzed 116 self-collected saliva samples from passengers and airport staff arriving from abroad. All samples were negative by RT-qPCR, while 1 was positive, using ddPCR. Lastly, we developed ddPCR assays for SARS-CoV-2 variants identification (alpha, beta, gamma, delta/kappa) that are more economically advantageous when compared to NGS. Our findings demonstrated that saliva samples can be stored at ambient temperature, as we did not observe any significant difference between a fresh sample and the same sample after 24 hours (p = 0.23), hence, saliva collection is the optimal route for sampling airplane passengers. Our results also showed that droplet digital PCR is a more suitable method for detecting virus from saliva, compared to RT-qPCR. Keywords: COVID-19; RT-PCR; ddPCR; SARS-CoV-2; nasopharyngeal swab; saliva.

Oxidative stress parameters and their relation to motor subtype of Parkinson's disease and levodopa treatment status.

Parkinson's disease (PD) is an oxidative stress-linked neurodegenerative disorder, with the highest prevalence among seniors. The objective of this study were: (1) to analyse levels of following oxidative stress parameters: total antioxidant capacity (TAC), uric acid (UA), total glutathione (tGSH), bilirubin (Bil) and albumin (Alb), in blood of PD patients and healthy controls; (2) to find possible associations of examined oxidative stress parameters with PD subtypes and levodopa treatment status; and (3) to evaluate power and relevance of the aforementioned oxidative stress parameter for the prediction of onset and progression of PD by utilizing Random Forest machine learning (RFML). Oxidative stress parameters were determined in 125 PD patients and 55 healthy controls. Evaluated with frequentist statistics, our data revealed that UA is the only oxidative stress parameter associated with PD. However, when the PD cohort was divided in gender-dependent manner, tGSH and Bil were also significantly associated with PD in subgroup of female patients. RFML rendered no predictive power of any of the tested oxidative stress parameters in respect to PD, its subtypes, and/or status of levodopa treatment. In conclusion, despite the positive association of UA with PD (in complete cohort of PD patients) and of tGSH and Bil with PD but only in female patients, these oxidative stress parameters are of no use in clinical practice due to the lack of the predictive/diagnostic power.

Programmed death ligand-1 expression and its association with the degree of differentiation and the presence of necrosis in non-small cell lung carcinoma.

The mechanisms underlying the expression of programmed death ligand-1 (PD-L1) in non-small cell lung carcinoma (NSCLC) are not yet fully clarified. In this study, surgical resections of 730 lung cancer patients with diagnosed NSCLC were analyzed. Results of PD-L1 immunohistochemistry (using clone 22C3) were correlated with clinicopathological variables including the degree of tumor differentiation and the presence of confluent areas of coagulative necrosis. PD-L1 immunohistochemistry was analyzed in tumor cells, whereas PD-L1 positivity was defined as membranous staining in ≥ 1 of tumor cells. A significantly higher proportion of PD-L1 positive cases was noted in poorly differentiated (grade 3) adenocarcinomas compared to better differentiated (grade 1 and grade 2) subtypes (63.8 % vs. 28.7 %; p < 0.001). Contrary to this, better differentiated (keratinizing) and less differentiated (non-keratinizing) squamous cell carcinoma subtypes were found to have a similar proportion of PD-L1 positive cases (51.4 % vs. 55.8 %; p = 0.570). High levels of PD-L1 expression significantly correlated with the presence of necrosis in NSCLC: seventy-nine of 109 NSCLC cases with the presence of necrosis were PD-L1 positive compared to 256 out of 621 NSCLC without necrosis (72.5 % vs. 41.2 %; p < 0.001). High PD-L1 expression was not positively correlated with age, gender, and advanced T stage but a significant association between PD-L1 positivity and higher N stage was observed (p < 0.001) in NSCLC patients. In conclusion, the proportion of PD-L1 positive cases is higher only in poorly differentiated NSCLC of the adenocarcinoma type. A significantly higher overall rate of PD-L1 positive cases was noted in NSCLC with the presence of necrosis. Further investigation is suggested to elucidate the intricated interconnections between the plethora of hypoxic biomarkers and immunological factors in different types and subtypes of NSCLC.

DNA Polymorphisms in Pregnant Women with Sticky Platelet Syndrome.

Sticky platelet syndrome (SPS) is a thrombophilia caused by the increased aggregability of platelets in response to the addition of low concentrations of epinephrine (EPI) and/or adenosine diphosphate (ADP). Some of the single nucleotide polymorphisms (SNP), alleles and haplotypes of platelet glycoprotein receptors were proved to have a role in the etiology of thrombotic episodes When comparing SPS and the control group, in VEGFA rs3025039, the p value for both CC vs. TT and CT vs. TT analyses was <0.001. Interestingly, no minor TT genotype was present in the SPS group, suggesting the thrombotic pathogenesis of recurrent spontaneous abortions (RSA) in these patients. Moreover, we found a significant difference in the presence of AT containing a risky A allele and TT genotype of ALPP rs13026692 (p = 0.034) in SPS patients when compared with the controls. Additionally, we detected a decreased frequency of the GG (CC) genotype of FOXP3 rs3761548 in patients with SPS and RSA when compared with the control group (p value for the CC (GG) vs. AA (TT) 0.021). This might indicate an evolutionary protective mechanism of the A (T) allele in the SPS group against thrombotic complications in pregnancy. These results can be used for antithrombotic management in such pregnant patients.