Sensing Volatile Pollutants with Spin-Coated Films Made of Pillar[5]arene Derivatives and Data Validation via Artificial Neural Networks.

Different types of solvents, aromatic and aliphatic, are used in many industrial sectors, and long-term exposure to these solvents can lead to many occupational diseases. Therefore, it is of great importance to detect volatile organic compounds (VOCs) using economic and ergonomic techniques. In this study, two macromolecules based on pillar[5]arene, named P[5]-1 and P[5]-2, were synthesized and applied to the detection of six different environmentally volatile pollutants in industry and laboratories. The thin films of the synthesized macrocycles were coated by using the spin coating technique on a suitable substrate under optimum conditions. All compounds and the prepared thin film surfaces were characterized by NMR, Fourier transform infrared (FT-IR), elemental analysis, atomic force microscopy (AFM), scanning electron microscopy (SEM), and contact angle measurements. All vapor sensing measurements were performed via the surface plasmon resonance (SPR) optical technique, and the responses of the P[5]-1 and P[5]-2 thin-film sensors were calculated with ΔI/Io × 100. The responses of the P[5]-1 and P[5]-2 thin-film sensors to dichloromethane vapor were determined to be 7.17 and 4.11, respectively, while the responses to chloroform vapor were calculated to be 5.24 and 2.8, respectively. As a result, these thin-film sensors showed a higher response to dichloromethane and chloroform vapors than to other harmful vapors. The SPR kinetic data for vapors validated that a nonlinear autoregressive neural network was performed with exogenous input for the best molecular modeling by using normalized reflected light intensity values. It can be clearly seen from the correlation coefficient values that the nonlinear autoregressive with exogenous input artificial neural network (NARX-ANN) model for dichloromethane converged more successfully to the experimental data compared to other gases. The correlation coefficient values of the dichloromethane modeling results were approximately 0.99 and 0.98 for P[5]-1 and P[5]-2 thin-film sensors, respectively.

Multimodal data fusion using sparse canonical correlation analysis and cooperative learning: a COVID-19 cohort study.

Through technological innovations, patient cohorts can be examined from multiple views with high-dimensional, multiscale biomedical data to classify clinical phenotypes and predict outcomes. Here, we aim to present our approach for analyzing multimodal data using unsupervised and supervised sparse linear methods in a COVID-19 patient cohort. This prospective cohort study of 149 adult patients was conducted in a tertiary care academic center. First, we used sparse canonical correlation analysis (CCA) to identify and quantify relationships across different data modalities, including viral genome sequencing, imaging, clinical data, and laboratory results. Then, we used cooperative learning to predict the clinical outcome of COVID-19 patients: Intensive care unit admission. We show that serum biomarkers representing severe disease and acute phase response correlate with original and wavelet radiomics features in the LLL frequency channel (cor(Xu1, Zv1) = 0.596, p value < 0.001). Among radiomics features, histogram-based first-order features reporting the skewness, kurtosis, and uniformity have the lowest negative, whereas entropy-related features have the highest positive coefficients. Moreover, unsupervised analysis of clinical data and laboratory results gives insights into distinct clinical phenotypes. Leveraging the availability of global viral genome databases, we demonstrate that the Word2Vec natural language processing model can be used for viral genome encoding. It not only separates major SARS-CoV-2 variants but also allows the preservation of phylogenetic relationships among them. Our quadruple model using Word2Vec encoding achieves better prediction results in the supervised task. The model yields area under the curve (AUC) and accuracy values of 0.87 and 0.77, respectively. Our study illustrates that sparse CCA analysis and cooperative learning are powerful techniques for handling high-dimensional, multimodal data to investigate multivariate associations in unsupervised and supervised tasks.

Water-soluble Pillar[5]arene-based drug candidates for lung and breast cancer.

The objective of research was to examine the likely anticancer effectiveness of distinct pillar[5] arene derivatives, ws-penta-P[5] and ws-deca-P[5], on breast and lung cancer cell lines in vitro. To achieve this goal, breast cancer (MCF7) cells, lung cancer (A549) cells, healthy cells (HEK293) were utilized. The IC50 dose of ws-penta-P[5] and ws-deca-P[5] was determined using the MTT method. Both treatment (pillar[5] arene applied) and control (pillar[5] arene not applied) groups were established for all three cell lines. Real-time polymerase chain reaction (qPCR) was used to evaluate changes in gene expression following pillar[5] arene treatment. Flow cytometry analysis was used to determine apoptosis and cell cycle arrest. The treatment group and control group results were compared after the study. The results revealed that in both cell lines treated with ws-deca-P[5], proapoptotic gene expressions were upregulated, while antiapoptotic gene expressions and caspase activation gene expressions were down-regulated. The flow cytometry apoptosis and cell cycle analysis in treatment group compared to the control, it was observed that the apoptosis rate increased in the ws-deca-P[5] and ws-deca-P[5] were shown to cause G0/G1 phase arrest in both cell groups. Results from our study that pillar[5] arene derivatives had the potential for treating breast and lung cancer, and more research is required in this area.Communicated by Ramaswamy H. Sarma.

Phenotyping Depression After Mild Traumatic Brain Injury: Evaluating the Impact of Multiple Injury, Gender, and Injury Context.

The chronic mental health consequences of mild traumatic brain injury (TBI) are a leading cause of disability. This is surprising given the expectation of significant recovery after mild TBI, which suggests that other injury-related factors may contribute to long-term adverse outcomes. The objective of this study was to determine how number of prior injuries, gender, and environment/context of injury may contribute to depressive symptoms after mild TBI among deployed United States service members and veterans (SMVs). Data from the Long-term Impact of Military-Relevant Brain Injury Consortium Prospective Longitudinal Study was used to assess TBI injury characteristics and depression scores previously measured on the Patient Health Questionnaire-9 (PHQ-9) among a sample of 1456 deployed SMVs. Clinical diagnosis of mild TBI was defined via a multi-step process centered on a structured face-to-face interview. Logistical and linear regressions stratified by gender and environment of injury were used to model depressive symptoms controlling for sociodemographic and combat deployment covariates. Relative to controls with no history of mild TBI (n = 280), the odds ratios (OR) for moderate/severe depression (PHQ-9 ≥ 10) were higher for SMVs with one mild TBI (n = 358) OR: 1.62 (95% confidence interval [CI] 1.09-2.40, p = 0.016) and two or more mild TBIs (n = 818) OR: 1.84 (95% CI 1.31-2.59, p < 0.001). Risk differences across groups were assessed in stratified linear models, which found that depression symptoms were elevated in those with a history of multiple mild TBIs compared with those who had a single mild TBI (p < 0.001). Combat deployment-related injuries were also associated with higher depression scores than injuries occurring in non-combat or civilian settings (p < 0.001). Increased rates of depression after mild TBI persisted in the absence of post-traumatic stress disorder. Both men and women SMVs separately exhibited significantly increased depressive symptom scores if they had had combat-related mild TBI. These results suggest that contextual information, gender, and prior injury history may influence long-term mental health outcomes among SMVs with mild TBI exposure.

Multimodal Biomedical Data Fusion Using Sparse Canonical Correlation Analysis and Cooperative Learning: A Cohort Study on COVID-19.

Through technological innovations, patient cohorts can be examined from multiple views with high-dimensional, multiscale biomedical data to classify clinical phenotypes and predict outcomes. Here, we aim to present our approach for analyzing multimodal data using unsupervised and supervised sparse linear methods in a COVID-19 patient cohort. This prospective cohort study of 149 adult patients was conducted in a tertiary care academic center. First, we used sparse canonical correlation analysis (CCA) to identify and quantify relationships across different data modalities, including viral genome sequencing, imaging, clinical data, and laboratory results. Then, we used cooperative learning to predict the clinical outcome of COVID-19 patients. We show that serum biomarkers representing severe disease and acute phase response correlate with original and wavelet radiomics features in the LLL frequency channel (corr(Xu1, Zv1) = 0.596, p-value < 0.001). Among radiomics features, histogram-based first-order features reporting the skewness, kurtosis, and uniformity have the lowest negative, whereas entropy-related features have the highest positive coefficients. Moreover, unsupervised analysis of clinical data and laboratory results gives insights into distinct clinical phenotypes. Leveraging the availability of global viral genome databases, we demonstrate that the Word2Vec natural language processing model can be used for viral genome encoding. It not only separates major SARS-CoV-2 variants but also allows the preservation of phylogenetic relationships among them. Our quadruple model using Word2Vec encoding achieves better prediction results in the supervised task. The model yields area under the curve (AUC) and accuracy values of 0.87 and 0.77, respectively. Our study illustrates that sparse CCA analysis and cooperative learning are powerful techniques for handling high-dimensional, multimodal data to investigate multivariate associations in unsupervised and supervised tasks.

Long-term follow-up results of multiparametric prostate MRI and the prognostic value of PI-RADS: a single-center retrospective cohort study.

PURPOSE: We aim to examine the long-term outcomes of patients who underwent multiparametric prostate magnetic resonance imaging (mp-MRI) for suspected prostate cancer (PCa), specifically based on their initial Prostate Imaging Reporting and Data System (PI-RADS) categories and various clinical factors. Our secondary aim is to evaluate the prognostic value of the PI-RADS through the National Comprehensive Cancer Network (NCCN) risk group distribution. METHODS: This research was conducted as a single-center retrospective cohort study in a tertiary care hospital. A total of 1,359 cases having at least one histopathological examination after the initial mp-MRI and/or adequate clinical/radiological follow-up data were included in the clinically significant PCa (cs-PCa) diagnosis-free survival analysis. Initial mp-MRI dates were accepted as the start of follow-up for the time-to-event analysis. The event was defined as cs-PCa diagnosis (International Society of Urological Pathology ≥2). Patients who were not diagnosed with cs-PCa during follow-up were censored according to predefined literature-based criteria at the end of the maximum follow-up duration with no reasonable suspicion of PCa and no biopsy indication. The impact of various factors on survival was assessed using a log-rank test and multivariable Cox regression. Subsequently, 394 cases diagnosed with PCa during follow-up were evaluated, based on initial PI-RADS categories and NCCN risk groups. RESULTS: Three main risk factors for cs-PCa diagnosis during follow-up were an initial PI-RADS 5 category, initial PI-RADS 4 category, and high MRI-defined PSA density (mPSAD), with average hazard ratios of 29.52, 14.46, and 3.12, respectively. The PI-RADS 3 category, advanced age group, and biopsy-naïve status were identified as additional risk factors (hazard ratios: 2.03, 1.54-1.98, and 1.79, respectively). In the PI-RADS 1-2 cohort, 1, 3, and 5-year cs-PCa diagnosis-free survival rates were 99.1%, 96.5%, and 93.8%, respectively. For the PI-RADS 3 cohort, 1, 3, and 5-year cs-PCa diagnosis-free survival rates were 94.9%, 90.9%, and 89.1%, respectively. For the PI-RADS 4 cohort, 1, 3, and 5-year cs-PCa diagnosis-free survival rates were 56.6%, 55.1%, and 55.1%, respectively. These rates were found to all be 24.2% in the PI-RADS 5 cohort. Considering the 394 cases diagnosed with PCa during follow-up, PI-RADS ≥4 cases were more likely to harbor unfavorable PCa compared to PI-RADS ≤3 cases (P < 0.001). In the PI-RADS 3 subgroup analysis, a low mPSAD (<0.15 ng/mL2) was found to be a protective prognostic factor against unfavorable PCa (P = 0.005). CONCLUSION: The PI-RADS category has a significant impact on patient management and provides important diagnostic and prognostic information. Higher initial PI-RADS categories are associated with decreased follow-up losses, a shorter time to PCa diagnosis, increased biopsy rates, a higher likelihood of developing cs-PCa during follow-up, and a worse PCa prognosis. Combining mPSAD with PI-RADS categories could enhance diagnostic stratification in the identification of cs-PCa.

Tomographic Fibrosis Score in the Patients with Systemic Sclerosis-Associated Interstitial Lung Disease.

BACKGROUND: Various visual semi-quantitative staging systems based on high-resolution computed tomography are used to evaluate inflammatory rheumatologic disease-associated interstitial lung disease. We aimed in this retrospective study to evaluate whether tomographic fibrosis score, a new visual semi-quantitative staging system, was a predictor of mortality and the relationship between tomographic fibrosis score and respiratory function tests in patients with systemic sclerosis-associ- ated interstitial lung disease. METHODS: The patients who have been followed up at a single-center rheumatology clinic for the last 5 years and met the American College of Rheumatology / European League Against Rheumatism (ACR-EULAR) 2013 systemic sclerosis classification criteria were included in the study. Clinical data were obtained retrospectively from patient records, including patients' characteristics, pulmonary function test (forced vital capacity), diffusing capacity of the lung for carbon monoxide test, high-reso- lution computed tomography results, medication history, and serological test results. High-resolution computed tomography of the patients diagnosed with interstitial lung disease were assessed for the study. The radiologists scored the extent of parenchymal abnormalities (ground glass opacification, reticulation, honeycombing, and consolidation) and calculated tomographic fibrosis score and also traction bronchiectasis score for each patient. RESULTS: Fifty-two patients (46 female, median age 60 (Q1-Q3:47-66) years) were included in this study. The median disease duration, follow-up time, interstitial lung disease duration, and time from sys- temic sclerosis diagnosis to interstitial lung disease diagnosis were 80 (59-143) months, 78 (50-119) months, 63 (43-81) months, and 4 (0-58) months, respectively. The median tomographic fibrosis score and traction bronchiectasis score of the patients were 3.08% (1.33-8.06) and 0 (0-2), respectively. There was a moderate direct correlation between tomographic fibrosis score and traction bronchiectasis score (r = +0.472, P < .001). Additionally, there was a mod- erate inverse correlation between tomographic fibrosis score and diffusing capacity of the lung for carbon monoxide at diagnosis (r = -0.554, P = .011). During the follow-up period, 12 (23%) patients died. Kaplan-Meier Test (P = 0.009) and Cox regression analysis (B: 4.673, 95% confidence interval, 1.321-16.529, P = .017) revealed that tomographic fibrosis score ≥ 5% was associated with mortality. Multivariate analysis was not performed due to the small number of patients. CONCLUSION: An inverse relationship was found between tomographic fibrosis score and diffusing capacity of the lung for carbon monoxide at diagnosis. The odds ratio for mortality was 4.7 when tomographic fibrosis score was ≥5%. Tomographic fibrosis score may be useful for predicting mor- tality and respiratory function in patients with systemic sclerosis-associated interstitial lung disease.

Associations Between Hepatic and Pancreatic Steatosis with Lumbar Spinal Bone Marrow Fat: A Single-Center Magnetic Resonance Imaging Study.

BACKGROUND: To evaluate the associations between hepatic, pancreatic steatosis, and lumbar spinal bone marrow fat determined by magnetic resonance imaging-proton density fat fraction in patients with no known or suspected liver disease. METHODS: A total of 200 patients who were referred to our radiology department for upper abdominal magnetic resonance imaging between November 2015 and November 2017 were included in this study. All patients underwent a magnetic resonance imaging-proton density fat fraction on a 1.5-T magnetic resonance imaging system. RESULTS: The mean liver, pancreas, and lumbar magnetic resonance imaging-proton density fat fraction were 7.52 ± 4.82%, 5.25 ± 5.44%, and 46.85 ± 10.38% in the study population. There were significant correlations between liver and pancreas (rs = 0.180, P = .036), liver and lumbar (rs = 0.317, P < .001), and pancreas and lumbar magnetic resonance imaging-proton density fat fraction (rs = 0.215, P = .012) in female patients. A weak correlation was observed between liver and lumbar magnetic resonance imaging-proton density fat fraction (rs = 0.174, P = .014) in the total population. The prevalence of hepatic and pancreatic steatosis was 42.5% and 29%, respectively. The prevalence of pancreatic steatosis (42.9% vs. 22.8%, P = .004) was higher in male patients compared to female patients. In subgroup analysis, in patients with hepatic steatosis, there were higher pancreas magnetic resonance imaging-proton density fat fraction (6.07 ± 6.42% vs. 4.66 ± 4.53%, P = .036) and lumbar magnetic resonance imaging-proton density fat fraction (48.81 ± 10.01% vs. 45.40 ± 10.46%, P =.029) compared to patients without hepatic steatosis. In patients with pancreatic steatosis, there were higher liver (9.07 ± 6.08 vs. 6.87 ± 4.06, P = .009) and lumbar magnetic resonance imaging-proton density fat fraction (49.31 ± 9.13% vs.45.83 ± 10.76%, P = .032) in comparison with patients without pancreatic steatosis. CONCLUSION: Based on the results of the present study, fat accumulation in liver, pancreas, and lumbar vertebra have associations with more evident in females.

Impacts of potential anticancer agents based on pillar[5]arene for head and neck squamous cell carcinoma cells.

PURPOSE: This study was conducted to investigate impacts of potential anticancer (associated with apoptosis and caspase pathways) of two newly synthesized derivatives of pillar[5]arene, named as d-Q-P5 and p-Q-P5, on Squamous cell carcinomas of the head and neck (HNSCC) cells. MATERIALS AND METHODS: The MTT method was used to determine the IC50 doses of the derivatives on HNSCC cells, and the changes in gene expression were analyzed by real-time polymerase chain reaction (qPCR). The apoptosis change was confirmed by flow cytometry analysis. RESULTS: The results showed that the d-Q-P5 and p-Q-P5 effectively inhibited the proliferation of the cells by upregulating proapoptotic genes (Bax, Bad, p53, Bak, and Apaf-1) and genes involved in the caspase pathway (Casp2, Casp3, and Casp9), while downregulating the antiapoptotic gene (Bcl-2). CONCLUSIONS: This study is the first to demonstrate the potential anticancer effects of these two agents on HNSCC cells by positively regulating apoptosis gene expression.

Systemic Sclerosis Quality of Life Questionnaire (SScQoL): translation into Turkish and assessing its psychometric properties.

BACKGROUND: Systemic sclerosis (SSc) is a chronic autoimmune disease that affects the connective tissues and leads to physical, emotional, and social challenges for patients. Evaluating health-related quality of life (HRQoL) with a disease-specific tool may be preferable for improving patient care and treatment outcomes. The aim of this study was to translate the Systemic Sclerosis Quality of Life Questionnaire (SScQoL) into Turkish and to investigate its psychometric properties. METHODS: Eighty-six patients with SSc (mean age 51.8 ± 11.7 years, 80 females) participated in the study. Convergent validity was explored by correlation analyses between Turkish SScQoL and Short-Form 36 (SF-36), European Quality of Life Survey-5 Dimensions (EQ-5D), EQ-5D Visual Analog Scale (EQ-VAS), and Scleroderma Health Assessment Questionnaire (SHAQ). Cronbach's alpha was calculated to test internal consistency. Turkish SScQoL was readministered after 7-14 days to fifty-eight patients for determining test re-test reliability. Intraclass correlation coefficients in 95% confidence interval (ICCs [95%CI]) were calculated to examine the agreement between two assessments. Values greater than 15% and an absolute skewness value < 1 were recognized as the presence of a floor or ceiling effect. RESULTS: SScQoL correlated significantly with SF-36 subdomains (r = -0.347 to -0.618, p < 0.01), EQ-5D (r = -0.535, p < 0.01), EQ-VAS (r = -0.636, p < 0.01), and SHAQ global score (r = 0.521, p < 0.01). SScQoL demonstrated excellent internal consistency (Cronbach's alpha = 0.917), and good to excellent test-retest reliability (ICC [95%CI] = 0.85 [0.76-0.91]). No floor/ceiling effects were observed. CONCLUSION: The Turkish version of SScQoL seems to have adequate psychometric properties and can be used to evaluate HRQoL in clinical and research settings. Key points • Turkish version of SScQoL is a valid and reliable tool for measuring health-related quality of life of patients with systemic sclerosis. • SScQoL is the only diseases-specific quality of life measurement for systemic sclerosis available in Turkish. • Patients with limited and diffuse SSc seem to be similar in terms of self-reported health-related quality of life.

A new sensing platform based on a ternary nanocomposite of graphitic carbon nitride-silver sulfide-nickel molybdate for quercetin determination.

In this study, we have shown how to prepare a ternary nanocomposite (Ag2S-NiMoO4-g-C3N4) consisting of graphitic carbon nitride (g-C3N4) nanosheets, silver sulfide (Ag2S) nanocrystals, and nickel molybdate (NiMoO4) nanorods and its sensing ability to detect quercetin, a flavonoid found in many fruits and vegetables. An Ag2S-NiMoO4-g-C3N4 nanocomposite-modified screen-printed electrode (SPE) exhibited remarkable sensing performance in a quercetin (Que) concentration range of 0.005 µM-20 µM with a low detection limit of 2.7 nM. Moreover, we have aimed at improving the selectivity and sensitivity of a sensor for detecting Que by optimizing the composition of Ag2S-NiMoO4-g-C3N4, the film thickness, and the electrolyte pH. The sensor's selectivity for Que was tested in the presence of potential interferents such as ascorbic acid, citric acid, fructose, glucose, lactose, maltose, mannose, sucrose, and tyrosine. The performance of the sensor was tested on a variety of food samples, including green apple, green tea, honey, and red onion skin.

Causal Effect of Education on Tobacco Use in Low-and-Middle-Income Countries.

INTRODUCTION: The prevalence of smoking is unequally distributed across certain groups. One significant dimension is education inequality, where higher smoking prevalence is generally observed in lower-educated groups. However, studies investigating educational inequality are mostly associative. Meanwhile, studies carrying out a causal investigation focus typically on developed countries. In this study, we consider a panel of low-and-middle-income countries (LMICs) to investigate the causal link between education and smoking behavior. AIMS AND METHODS: We use detailed micro-level household surveys for 12 LMICs where the duration of compulsory schooling has been extended. By identifying the individuals subject to higher compulsory schooling and using the exogenous variation in education caused by the increase in the duration of compulsory schooling, we estimate the causal impact of education on tobacco consumption. We rely on regression analysis to estimate the effect. RESULTS: Our results reveal that those subject to higher years of compulsory schooling have lower smoking-related outcomes, suggesting that higher education significantly lowers tobacco consumption in LMICs. The effect is primarily observed for women, where, for instance, higher compulsory schooling reduces the probability of smoking by 23% and the number of cigarettes smoked by 27%. CONCLUSIONS: The study's results establish the causal link between education and smoking behavior in LMICs. This significant impact suggests that education policy is still an important tool to help reduce tobacco consumption, especially in settings where the average level of education is not high initially. Moreover, discouraging men from smoking requires other measures to complement education policy. IMPLICATIONS: Education might help reduce tobacco consumption. However, studies-primarily for developed countries-find mixed results. This paper investigates the causal role of education on smoking in LMICs. Education reduces tobacco consumption, especially for women. Thus, education policy can be effective in low-education settings. Nonetheless, education policy should be accompanied by other policies to discourage men from smoking.

Infarcts and ischemia in the abdomen: an imaging perspective with an emphasis on cross-sectional imaging findings.

Infarcts and ischemia of abdominal organs may present with acute abdominal pain, and early diagnosis is crucial to prevent morbidity and mortality. Unfortunately, some of these patients present in poor clinical conditions to the emergency department, and imaging specialists are crucial for optimal outcomes. Although the radiological diagnosis of abdominal infarcts is often straightforward, it is vital to use the appropriate imaging modalities and correct imaging techniques for their detection. Additionally, some non-infarct-related abdominal pathologies may mimic infarcts, cause diagnostic confusion, and result in delayed diagnosis or misdiagnosis. In this article, we aimed to outline the general imaging approach, present cross-sectional imaging findings of infarcts and ischemia in several abdominal organs, including but not limited to, liver, spleen, kidneys, adrenals, omentum, and intestinal segments with relevant vascular anatomy, discuss possible differential diagnoses and emphasize important clinical/radiological clues that may assist radiologists in the diagnostic process.

Effective anticancer agents based-on two Pillar[5]arene derivatives for pancreas cancer cell lines: synthesis, apoptotic effect, caspase pathway.

This study aimed to evaluate the possible anticancer effects of two different pillar[5]arene derivatives (5Q-[P5] and 10Q-P[5]) on two different pancreatic cancer cell lines in vitro. For this purpose, changes in the expression of major genes that play a role in apoptosis and caspase pathways were investigated. Panc-1 and BxPC-3 cell lines were used in the study and the cytotoxic dose of pillar[5]arenes was determined by the MTT method. Changes in gene expression after pillar[5]arenes treatment were evaluated by real-time polymerase chain reaction (qPCR). Apoptosis was studied by flow cytometry. As a result of analysis, it was determined that proapoptotic genes and genes involved in major caspase activation were upregulated and antiapoptotic genes were down-regulated in Panc-1 cell line treated with pillar[5]arenes. Flow cytometric apoptosis analysis also showed an increased apoptosis rate in this cell line. On the contrary, although MTT analysis showed cytotoxic effect in BxPC-3 cell line treated with two pillar[5]arene derivatives, the apoptosis pathway was not active. This suggested that it may activate different death pathways for BxPC-3 cell line. Thus, it was first determined that the pillar[5]arene derivatives reduced cancer cell proliferation on pancreatic cancer cells.

A snapshot of teleradiology practice in Turkey: the results of a survey among radiologists.

PURPOSE: This study featured a survey that offers a snapshot of various teleradiology practices in Turkey, a Group of Twenty country that has undertaken a major transformation of its health care system during the last two decades and is currently the world leader in terms of the combined number of per capita magnetic resonance imaging and computed tomography examinations performed (which represent the bulk of teleradiology services worldwide). METHODS: The study data was collected from 4736 Turkish Society of Radiology (TSR) members via an electronic platform in the web environment through a questionnaire consisting of 24 questions. The survey was conducted in a 3-month time window (March-May 2021). Statistical tools were used for the analysis of the quantitative data. RESULTS: Responses from 156 members of the TSR comprised the study data, revealing that teleradiology is used for various applications in Turkey. Almost half of the participants (49%) performed teleradiology only in the private sector. Half of the respondents (51%) stated that they reported images at home for multiple centers. Moreover, 38% of the participants had been reporting more than 50 examinations per day, and 74% of the respondents earned less than 0.50 Euro per examination they reported. The overall satisfaction with teleradiology among the teleradiologists was, on average, 4.7 out of 10 points. CONCLUSION: The results are both promising for the future (i.e., concerning the propensity for adopting new technology) and alarming for the current state of affairs (i.e., insufficient radiologist reimbursement and lack of licensing and accreditation of teleradiology service providers). Periodic surveys performed in countries with different health care systems concerning financial, technical, and medicolegal aspects might reveal an up-to-date landscape of teleradiology practices worldwide and help guide local and regional decision-makers.

A lab-made screen-printed sensing strip for sensitive and selective electrochemical detection of butylated hydroxyanisole.

This study describes the fabrication of a lab-made screen-printed electrode (LabSPE) and its sensing ability for the detection of butylated hydroxyanisole (BHA) which is a synthetic antioxidant utilized widely in food industries. The lab-made screen-printed electrodes were printed on a polycarbonate substrate stepwise via a screen-printing technique using various inks suitable for electrode templates and then modified for the detection of BHA. As for the design of the sensor, firstly, graphitic carbon nitride (g-C3N4) was synthesized electrochemically through the one-pot synthesis method. After the synthesis of Fe3O4 nanoparticles (Fe3O4 NPs), the surface of SPE was modified with the dual composite consisting of g-C3N4 and Fe3O4 NPs. Lastly, platinum nanoparticles (Pt NPs) were deposited electrochemically on the modified electrode in 0.5 M HCl solution containing 2 mM H2PtCl6 at a constant potential of 0.25 V for 45 s. After optimization of varied parameters such as pH of the electrolyte solution, deposition time, and deposition potential, the current responses of the sensor (Pt/g-C3N4-Fe3O4/LabSPE) toward BHA displayed linearity in the wide concentration range of 0.25 µM to 90 µM with a low detection limit of 0.053 µM. The selectivity of Pt/g-C3N4-Fe3O4/SPE was tested successfully in the presence of other antioxidants (BHT, TBHQ, GA, and PG). Moreover, the applicability of the proposed sensor for practical tests was verified by the detection of BHA in commercial samples.

Assessing dyspnea-related kinesiophobia in patients with systemic sclerosis (SSc): validity and reliability of Turkish Breathlessness Beliefs Questionnaire for SSc.

INTRODUCTION/OBJECTIVE: The respiratory system is often affected by systemic sclerosis (SSc), a connective tissue disease characterized by fibrosis, vasculopathy, and inflammation. As a result, especially exertional dyspnea may occur in SSc patients. Evaluation of attitudes towards dyspnea is important in terms of preventing negative consequences such as kinesiophobia. However, no validated tool is available for assessing dyspnea-related kinesiophobia for patients with SSc. The aim of the present study was to perform the Turkish validation of the Breathlessness Beliefs Questionnaire for SSc (BBQ-SSc), which was adapted from the Tampa Kinesiophobia Scale, and to investigate its relationships with physical and clinical characteristics. METHOD: Fifty patients with SSc (47 females) were included in the study. The patients were evaluated regarding pulmonary function tests, respiratory muscle strength, patient-reported dyspnea, quality of life related to respiratory problems, mood, and fatigue. The patients were re-evaluated 1 week later for the test-retest reliability of the BBQ-SSc. RESULTS: Internal consistency (Cronbach's alpha: 0.862) and test-retest validity (ICC: 0.831; 95% CI: 0.702-0.907) of the 12-item Turkish BBQ-SSc were found to be good. Principal component analysis confirmed the two-dimensional structure of the questionnaire. The scores of the questionnaire were associated with duration of illness, patient-reported dyspnea, quality of life related to respiratory problems, mood, and fatigue (p < 0.05). CONCLUSIONS: According to our results, the 12-item Turkish BBQ-SSc is a reliable and valid tool to assess dyspnea-related kinesiophobia in SSc patients. Key Points • There are no structured tools available for assessing dyspnea-related kinesiophobia in patients with systemic sclerosis (SSc) • The 12-item Turkish Breathlessness Beliefs Questionnaire for SSc (BBQ-SSc) is a reliable and valid tool to assess dyspnea-related kinesiophobia in SSc patients.

Non-steroidal anti-inflammatory drug use is determined by disease activity in axSpA and decreased by biologicals: a longitudinal analysis.

OBJECTIVE: To evaluate non-steroidal anti-inflammatory drug (NSAID) use and Assessment in Spondyloarthritis International Society (ASAS)-NSAID scores in patients with axial spondyloarhritis (axSpA) in a longitudinal study. METHODS: In total, 429 patients with axSpA (59% male; 63.6% with AS) were included in this study. Data about disease activity, C-reactive protein (CRP) levels, and NSAID use and dosage were collected at 0, 12, 24, and 52 weeks retrospectively. The relationship with NSAID use /ASAS-NSAID scores and other factors were tested using generalized estimating equations (GEE). RESULTS: At baseline (0 weeks), 92.8% of patients in biologic disease-modifying anti-rheumatic drugs (bDMARDs) group and 82.1% of patients in conventional treatment group were treated with NSAIDs. At baseline, the proportion (p=0.03) and the median (IQR) ASAS-NSAID scores were higher in bDMARDs group [100 (50) vs 50 (83.4); p<0.001]. During follow-up, NSAID use and ASAS-NSAID scores decreased significantly in patients treated with bDMARDs (p<0.001) and the reduction remained stable throughout the follow-up However, neither NSAID use (p=0.06) nor ASAS-NSAID scores changed in conventional treatment group (p=0.15). In bDMARD-treated patients, ASDAS-CRP and BASFI scores were independent determinants for NSAID use, and BASDAI and PGA were determinants for NSAID dosage. There was no independent significant predictor for ASAS-NSAID scores; PGA was the only significant predictor for NSAID use in the conventional treatment group. CONCLUSION: Concurrent biologic treatment was associated with low NSAID intake in patients with axSpA, and NSAID use was determined mainly by disease activity and partly by function during bDMARD treatment.

Multiparametric MRI with MR elastography findings in patients with sinusoidal obstruction syndrome after oxaliplatin-based chemotherapy.

OBJECTIVE: To evaluate the magnetic resonance elastography (MRE)-derived liver stiffness measurement (LSM), T1 and T2 relaxation times, and hepatobiliary phase images in patients, who developed sinusoidal obstruction syndrome (SOS) after oxaliplatin-based chemotherapy. METHODS: Thirty-four patients (M/F:22/12) who underwent liver MRI-MRE and received oxaliplatin for colorectal, gastric, and pancreas cancer were included in the study. SOS was diagnosed by Gd-EOB-DTPA-enhanced MRI in 18 patients. MRE-LSM and T1-T2 maps were evaluated. Patients with SOS were grouped according to the amount of reticular hypointensity on the hepatobiliary phase images. RESULTS: The mean MRE-LSM in the patients with SOS was 3.14 ± 0.45 kPa, and the control group was 2.6 ± 0.5 kPa (p = 0.01). The mean-corrected T1 (cT1) relaxation time was 1181 ± 151 ms in the SOS group and 1032 ± 129 ms in the control group (p = 0.005). The mean T2 relaxation time was 50.29 ± 3.6 ms in the SOS group and 44 ± 3.9 ms in the control group (p = 0.01). Parenchymal stiffness values were 2.8 ± 0.22 kPa, 3 ± 0.33 kPa, and 3.65 ± 0.28 kPa in patients with mild, moderate, and advanced SOS findings, respectively (p = 0.002). Although cT1 and T2 relaxation times increased with increasing SOS severity, no statistical significance was found. CONCLUSIONS: We observed increased MRE-LSM in patients with SOS after chemotherapy compared to control group. T1 and T2 relaxation times were also useful in diagnosing SOS but were found inadequate in determining SOS severity. MRE is effective in diagnosing SOS and determining SOS severity in patients who cannot receive contrast agents, and it may be useful in the follow-up evaluation of these patients.