Evaluation of Medical Students' Satisfaction With Using a Simulation-Based Learning Program as a Method for Clinical Teaching.

Objectives This cross-sectional analytical study aims to evaluate medical students' awareness and satisfaction regarding the utilization of simulation-based learning (SBL) as a method for clinical teaching at King Saud University (KSU) over the past 12 months. It seeks to understand how such learning methods enhance students' self-satisfaction and clinical skills, facilitate the application of learned knowledge, and assess the role of instructors in providing ample practice opportunities in the skills laboratory. Furthermore, the study aims to assess the satisfaction levels of students in both preclinical and clinical years regarding the time allocated for skills laboratory sessions and the integration of high-fidelity technology in simulation-based training programs at KSU. Methods In this cross-sectional study, a total of 306 male and female medical students from the College of Medicine at KSU participated, comprising 196 preclinical students (first, second, and third years) and 110 clinical students (fourth and fifth years). Quantitative data was collected through a structured questionnaire on a 5-point Likert scale that showed degrees of satisfaction. The satisfaction was measured based on a 5-point Likert scale that shows the degree of satisfaction from (very dissatisfied, dissatisfied, neither dissatisfied nor satisfied, satisfied, and very satisfied), and we calculated the p-value based on an independent t-test, and the percentage represented the percentage of students who chose satisfied and very satisfied. Results The results showed overall satisfaction with SBL (mean: 3.98, 71.10%), and it was recognized as a useful and effective method of learning skills. It is reported that it helped the students implement what they learned. At the same time, lower satisfaction was identified in areas with less allocated time for skill labs. Moreover, lack of accessibility and lack of trained staff were reported, and they should be addressed by providing staff with proper training. Conclusion The results of the study will help to understand how students' learning needs should be addressed. Moreover, providing simulation-based training is a pathway compliant with the best educational standards that should be adapted according to each institution's singularities. Besides offering further results, the study presents suggestions for further research.

Comprehensive metabolomics analysis reveals novel biomarkers and pathways in falsely suspected glutaric aciduria Type-1 newborns.

BACKGROUND: Glutaric aciduria type-1 (GA-1) is a rare metabolic disorder due to glutaryl coenzyme A dehydrogenase deficiency, causing elevated levels of glutaryl-CoA and its derivatives. GA-1 exhibits symptoms like macrocephaly, developmental delays, and movement disorders. Timely diagnosis through genetic testing and newborn screening is crucial. However, in some cases, transiently elevated level of glutarylcarnitine (C5DC) challenges accurate diagnosis, highlighting the need for alternative diagnostic methods, like mass spectrometry-based untargeted metabolomics, to identify additional biomarkers for distinguishing falsely suspected GA-1 from healthy newborns. METHODOLOGY: DBS samples from falsely suspected GA-1 newborns (n = 47) and matched control were collected through the NBS program. Untargeted metabolomics using liquid chromatography-high-resolution mass spectrometry (LC-HRMS) was performed to enable biomarker and pathway investigations for significantly altered metabolites. RESULTS: 582 and 546 were up- and down-regulated metabolites in transient GA-1. 155 endogenous metabolites displayed significant variations compared to the control group. Furthermore, our data identified novel altered metabolic biomarkers, such as N-palmitoylcysteine, heptacarboxyporphyrin, 3-hydroxylinoleoylcarnitine, and monoacylglyceride (MG) (0:0/20:1/0:0), along with perturbed metabolic pathways like sphingolipid and thiamine metabolism associated with the transient elevated C5DC levels in DBS samples. CONCLUSIONS: A distinct metabolic pattern linked to the transient C5DC elevation in newborns was reported to enhance the prediction of the falsely positive cases, which could help avoiding unnecessary medical treatments and minimizing the financial burdens in the health sector.

Non-enzymatic glycation and aggregation of camel immunoglobulins induce breast cancer cell proliferation.

Glycation of biomolecules results in the formation of advanced glycation end products (AGEs). Immunoglobulin G (IgG) has been implicated in the progression of various diseases, including diabetes and cancer. This study purified three IgG subclasses (IgG1, IgG2, and IgG3) from Camelus dromedarius colostrum using ammonium sulfate fractionation and chromatographic procedures. SDS-PAGE was performed to confirm the purity and molecular weight of the IgG subclasses. Several biochemical and biophysical techniques were employed to study the effect of glycation on camel IgG using methylglyoxal (MGO), a dicarbonyl sugar. Early glycation measurement showed an increase in the fructosamine content by ~four-fold in IgG2, ~two-fold in IgG3, and a slight rise in IgG1. AGEs were observed in all classes of IgGs with maximum hyperchromicity (96.6%) in IgG2. Furthermore, glycation-induced oxidation of IgGs led to an increase in carbonyl content and loss of -SH groups. Among subclass, IgG2 showed the highest (39.7%) increase in carbonyl content accompanied by 82.5% decrease in -SH groups. Far UV-CD analysis illustrated perturbation of ß-sheet structure during glycation reaction with MGO. Moreover, glycation of IgG proceeds to various conformational states like aggregation and increased hydrophobicity. In addition, the cytotoxicity assay (MTT) illustrated the proliferation of breast cancer cells (MCF-7) with IgG2 treatment.

Gramine Exerts Cytoprotective Effects and Antioxidant Properties Against H2O2-Induced Oxidative Stress in HEK 293 Cells.

Oxidative stress caused due to the perturbations in the oxidant-antioxidant system can damage molecules and cause cellular alteration leading to the pathogenesis of multiple diseases. This study was designed and performed to investigate the antioxidant and anti-inflammatory effects of an alkaloid, gramine on H2O2-induced oxidative stress on HEK 293 cells. Cell viability and morphometric analysis of cells treated with H2O2 and gramine were studied. Oxidative stress and inflammatory and antioxidant enzymes such as ROS, LPO, NO, SOD, GSH, and CAT were analyzed. Furthermore, mRNA expression of SOD, CAT, and COX-2 was also evaluated. H2O2 at concentration > 0.3 mM and gramine at concentration > 80 µg/mL affect the proliferation. Viability and morphometric analysis showed that gramine has protective effects. Treating cells with gramine suppressed oxidative stress and inflammatory enzymes, whereas antioxidant enzymes were enhanced. SOD and CAT mRNA levels were overexpressed and COX-2 mRNA levels were decreased in the treated groups. Gramine possesses effective antioxidant potential and can regulate oxidative stress and damages associated with it.

Metabolic Alteration of MCF-7 Cells upon Indirect Exposure to E. coli Secretome: A Model of Studying the Microbiota Effect on Human Breast Tissue.

According to studies, the microbiome may contribute to the emergence and spread of breast cancer. E. coli is one of the Enterobacteriaceae family recently found to be present as part of the breast tissue microbiota. In this study, we focused on the effect of E. coli secretome free of cells on MCF-7 metabolism. Liquid chromatography-mass spectrometry (LC-MS) metabolomics was used to study the E. coli secretome and its role in MCF-7 intra- and extracellular metabolites. A comparison was made between secretome-exposed cells and unexposed controls. Our analysis revealed significant alterations in 31 intracellular and 55 extracellular metabolites following secretome exposure. Several metabolic pathways, including lactate, aminoacyl-tRNA biosynthesis, purine metabolism, and energy metabolism, were found to be dysregulated upon E. coli secretome exposure. E. coli can alter the breast cancer cells' metabolism through its secretome which disrupts key metabolic pathways of MCF-7 cells. These microbial metabolites from the secretome hold promise as biomarkers of drug resistance or innovative approaches for cancer treatment, either as standalone therapies or in combination with other medicines.

The Relevance of Food Constituents to the Irritable Bowel Syndrome: A Rome IV-Based Prevalence Study Among Medical Students.

BACKGROUND/AIMS: Irritable bowel syndrome is prevalent in the general population. This study investigates the association between dietary intake and irritable bowel syndrome in medical college students at King Saud University besides its prevalence. MATERIALS AND METHODS: This is an analytical cross-sectional study of 426 students (271 males and 155 females, age 21.21 ± 1.58 years) from 5 academic levels of King Saud University Medical College. A self-reported questionnaire for Rome IV criteria was completed by each participant. They also filled out a food frequency questionnaire to assess their nutritional intake. RESULTS: The overall prevalence of irritable bowel syndrome was 17.8% without correlation to age and academic year in Medical School. However, the prevalence was higher in females than in males (40/115 vs. 36/235, P = .001). The irritable bowel syndrome group consumed significantly more energy, carbohydrates, and saturated fatty acids, while the non-irritable bowel syndrome group consumed significantly more fibers and niacin (P < .001 and P = .005, respectively). CONCLUSION: About 17.8% of medical students had irritable bowel syndrome with a greater prevalence in females. The irritable bowel syndrome group consumed significantly more energy, carbohydrates, and saturated fatty acids, while the non-irritable bowel syndrome group consumed significantly more fibers and niacin. Our results did not show any significant association between irritable bowel syndrome and fermentable oligosaccharide, disaccharide, monosaccharide, and polyol intake. Overall, both groups were not adhering to the Saudi dietary recommended intake.

Metabolomics profiling distinctively identified end-stage renal disease patients from chronic kidney disease patients.

Chronic kidney disease (CKD) is a serious public health problem characterized by progressive kidney function loss leading to end-stage renal disease (ESRD) that demands dialysis or kidney transplantation. Early detection can prevent or delay progression to ESRD. The study aimed to gain new insights into the perturbed biochemical reactions and to identify novel distinct biomarkers between ESRD and CKD. Serum samples of 32 patients with ESRD (n = 13) and CKD (n = 19) were analyzed using chemical isotope labeling liquid chromatography-mass spectrometry metabolomics approach. A total of 193 metabolites were significantly altered in ESRD compared to CKD and were mainly involved in aminoacyl-tRNA biosynthesis, branched-chain amino acid (BCAA) biosynthesis, taurine metabolism, and tryptophan metabolism. Three kynurenine derivatives, namely, 2-aminobenzoic acid, xanthurenic acid, and hydroxypicolinic acid were upregulated in ESRD compared to CKD due to the significant decrease in glomerular filtration rate with the progression of CKD to ESRD. N-Hydroxy-isoleucine, 2-aminobenzoic acid, and picolinic acid yielded AUC > 0.99 when analyzed using Receiver Operating Characteristic (ROC) analysis. Our findings suggest that inhibiting the kynurenine pathway might be a promising target to delay CKD progression and that metabolites with high discriminative ability might serve as potential prognostic biomarkers to monitor the progression of CKD to ESRD or used in combination with current markers to indicate the status of kidney damage better.

Knowledge, Attitudes, and Perception towards COVID-19 among Medical Students in Yemen: A Cross-Sectional Survey.

Numerous measures have been taken to slow the Coronavirus disease (COVID-19) rapid spread. Such population control techniques may have a substantial impact on people's attitudes, knowledge, and perception of COVID-19. This web-based cross-sectional survey aimed to assess Knowledge, Attitude, and Practices (KAP) towards COVID-19 among Hadhramout University Medical Students in Yemen from 15 June to 26 June 2020. This survey was performed using social media via the Google Platform among 422 Hadhramout University Medical students. After consenting, participants completed an online survey assessing sociodemographic data, 21 knowledge items, 15 attitudes items, and 5 perception items towards COVID-19. Of the total 422 participants, 389 (92.18%) were surveyed online, and 256 (65.8%) were females, and 133 (34.2%) were males aged 19-24 years (88.7%), studying medicine (58.9%), and living in urban areas (80.7%). The survey revealed that 64.0% of participants had good knowledge about the disease and 52.7% had positive attitudes towards protective measures against the virus. The majority of participants (98.2%) thought that the virus was transmitted through nasal droplets, and 59.6% agreed that the disease is dangerous. The majority of participants agreed that fever (99.2%), dry cough (97.9%), and difficulty breathing (99.5%) are the most common symptoms of the disease. The survey also showed high knowledge levels about preventive measures against the virus spreading, such as regular proper hand hygiene (99.7%), maintaining an appropriate distance (99.2%), avoiding touching eyes and nose (98.7%), and wearing facemasks in public places (97.4%). Moreover, 69.7% of participants agreed to be isolated at home if they got an infected person, 64.3% implemented washing hands with soap and water, 41.9% agreed to be separated at the hospital until they proved free from the disease, 46.0% agreed to inform the health authorities if they had any symptoms associated with the disease. By using sample T-test and analysis of variance (ANOVA), mean knowledge score about COVID-19 was significantly higher in males than in females (p = 0.029). Additionally, medicine students had significantly higher mean knowledge score than students of medical laboratory (p < 0.001) and nursing (p = 0.008). In general, our research revealed that participants had favorable opinions regarding the disease's preventative measures and a good awareness of it. However, more educational initiatives and campaigns that take into account KAP modifying elements are needed.

Metabolomics Profiling of Nephrotic Syndrome towards Biomarker Discovery.

Nephrotic syndrome (NS) is a kidney illness characterized by excessive proteinuria, hypoalbuminemia, edema, and hyperlipidemia, which may lead to kidney failure and necessitate renal transplantation. End-stage renal disease, cardiovascular issues, and mortality are much more common in those with NS. Therefore, the present study aimed to identify potential new biomarkers associated with the pathogenesis and diagnosis of NS. The liquid chromatography-mass spectrometry (LC-MS) metabolomics approach was applied to profile the metabolome of human serum of patients with NS. A total of 176 metabolites were significantly altered in NS compared to the control. Arginine, proline, and tryptophan metabolism; arginine, phenylalanine, tyrosine, and tryptophan biosynthesis were the most common metabolic pathways dysregulated in NS. Furthermore, alanyl-lysine and isoleucyl-threonine had the highest discrimination between NS and healthy groups. The candidate biomarkers may lead to understanding the possible metabolic alterations associated with NS and serve as potential diagnostic biomarkers.

Level of Knowledge and Awareness of Female Undergraduate Students and Determinants of Knowledge of Folic Acid and Supplementation.

Background and Objectives: Folic acid (FA) is a necessary ingredient for numerous bodily activities including pregnancy. Because of this, women should have knowledge and awareness of the health benefits of FA supplementation. Thus, we aimed to investigate the level of knowledge on the importance of FA and determine associated factors for knowledge among female college students at King Saud University in Riyadh, Saudi Arabia. Material and Methods: We conducted a cross-sectional study using a questionnaire between January 2020 and February 2021 among female college students aged 17 to 26 years old. The questionnaire adapted with permission from Alnaami et al. included questions on the demographic profile of the participants as well as questions related to their knowledge and awareness of FA, FA supplementation, the importance of supplementation and their sources of knowledge of FA. Results: A total of 437 female undergraduate students participated in the study, 285 (65.2%) of whom were from the non-health colleges and 152 (34.8%) from the health colleges. The majority of participants were between ages 17 and 21 years old (n = 361, 82.6%). Half of the respondents were in their 3rd and 4th year of study (n = 122, 50.8%), 138 respondents (31.6%) were married, and 111 of these married women (80.4%) had children. There were 266 respondents (61.0%) who had heard and had knowledge of FA, 241 (55.3%) knew of FA timing of intake, 243 (55.7%) of FA duration of intake and 362 (83.0%) knew of the diseases prevented by FA supplementation. Linear regression analysis showed that being in the health college (B = 1.464, t = 11.37, p < 0.001, 95% CI = 1.211, 1.717) and a higher educational year level (B = 0.139, t = 2.442, p = 0.015, 95% CI = 0.027, 0.251) were the significant predictors of knowledge of FA. Conclusions: Knowledge of FA and FA supplementation was low at 61% considering that our study population were college students. Being enrolled in a health college and in a higher educational year level were significant positive correlates of higher knowledge of FA and FA supplementation. Despite this, there exists a gap of information regarding FA and FA supplementation particularly among single women and college educated women in the early years of their college life as well as those in non-health colleges.

Dystrophin Protein Quantification as a Duchenne Muscular Dystrophy Diagnostic Biomarker in Dried Blood Spots Using Multiple Reaction Monitoring Tandem Mass Spectrometry: A Preliminary Study.

Duchenne muscular dystrophy (DMD) is an X-linked recessive disorder characterized by progressive muscle loss, leading to difficulties in movement. Mutations in the DMD gene that code for the protein dystrophin are responsible for the development of DMD disorder, where the synthesis of this protein is completely halted. Therefore, circulating dystrophin protein could be a promising biomarker of DMD disease. Current methods for diagnosing DMD have sensitivity, specificity, and reproducibility limitations. Herein, a quantitative liquid chromatography-tandem spectrometry (LC-MS/MS) technique in multiple reaction monitoring (MRM) mode was designed and validated for accurate dystrophin protein measurement in a dried blood spot (DBS). The method was successfully validated on the basis of international guidelines regarding calibration curves, precision, and accuracy. In addition, patients and healthy controls were used to test the amount of dystrophin protein circulating in DBS samples as a potential biomarker for DMD disorders. DMD patients were found to have considerably lower levels than controls. To the best of our knowledge, this is the first study to report dystrophin levels in DBS through LC-MS/MS as a diagnostic marker for DMD to the proposed MRM method, providing a highly specific and sensitive approach to dystrophin quantification in a DBS that can be applied in DMD screening.

CFTR protein quantification as a cystic fibrosis diagnostic biomarker in dried blood spots using multiple reaction monitoring tandem mass spectrometry.

The cystic fibrosis transmembrane conductance regulator (CFTR) is a chloride channel found on the apical surface of epithelial cells in the airway and gastrointestinal tract. A mutation in the CFTR protein is responsible for developing cystic fibrosis (CF) disease. Therefore, circulating CFTR protein could be a promising biomarker of CF disease. Multiple methodological challenges are associated with CF's available diagnostic and screening methods, such as low specificity and potential false discovery rate, mainly for ethnic groups whose CFTR mutations are not covered in the mutation panels. Herein, we have developed an absolute quantification (AQUA) method based on two CFTR signature peptides (SPs). A liquid chromatography-tandem spectrometry (LC-MS/MS) method in multiple reaction monitoring (MRM) mode (MRM transitions 1168.90 > 85.929 and 707.19 > 85.93 of SP1 and SP2, respectively) enabled the accurate quantification of CFTR protein in a dried blood spot (DBS). The method was validated successfully based on international guidelines in terms of signal linearity, precision (within-run CV 3.37-8.54%; between-run CV 5.15-11.06% for the selected SPs), and accuracy (within-run 93.4-105.59%; between-run 97.45-103.28% for the selected SPs). The level of soluble CFTR protein was evaluated as a potential biomarker for CF using patients (n = 39) and healthy controls (n = 30), were found to be in CF patients lower than controls. For instant, the level of signature peptide 1 (SP1) was 2.09 ± 0.55 nM, 68.77 ± 1.40 nM in CF patients compared to Ctrl, respectively; p < 0.0001. This study is the first to report CFTR levels in DBS using signature peptides by LC-MS/MS as a diagnostic marker for CF. The receiver operating characteristic (ROC) for CFTR SP1 and SP2 showed a significant area under the curves (AUC) 0.7714 (99% CI, p < 0.0001), and 0.8234 (99% CI, p < 0.0001), respectively. The presented MRM method provides a highly specific and sensitive approach to CFTR quantification in a DBS and could be applied in CF screening.

Elucidating the role of hypoxia-inducible factor in rheumatoid arthritis.

Rheumatoid arthritis (RA) is a chronic multifactorial disease, provocative, and degenerative autoimmune condition that impacts millions of individuals around the globe. As a result of this understanding, anti-inflammatory drugs have been created, perhaps widely effective (like steroids) and highly specialized methods (including anti-TNF antibody) using biological therapies (including TNF inhibitors). Despite this, the connections between inflammatory response, articular development, and intracellular responsiveness to changes in oxygen concentration are undervalued in rheumatoid arthritis. Hypoxia, or a lack of oxygen, is thought to cause enhanced synovial angiogenesis in RA, which is mediated by some of the hypoxia-inducible factors like vascular endothelial growth factor (VEGF). Substantial genetic alterations occur when the HIF regulatory factors signaling cycle is activated, allowing organelles, tissues, and species to acclimatize to decreasing oxygen saturation. The most well-characterized hypoxia-responsive transcripts are the angiogenic stimulant VEGF, whose production is greatly elevated by hypoxia in several types of cells, especially RA synovium fibroblasts. Blocking vascular endothelial growth factors has been demonstrated to be helpful in murine models of rheumatism, indicating how hypoxia could trigger the angiogenesis process, resulting in the progression of RA. These mechanisms highlight the intimate affiliation amongst hypoxia, angiogenesis, and inflammation in rheumatoid arthritis. This review will look at how hypoxia activates molecular pathways and how other pathways involving inflammatory signals develop and sustain synovitis in rheumatoid arthritis.

-2548G>A LEP Polymorphism Is Positively Associated with Increased Leptin and Glucose Levels in Obese Saudi Patients Irrespective of Blood Pressure Status

Background and Objectives: In this study, we aimed to investigate the link between common -2548G>A (rs7799039) promoter variant of the human leptin gene (LEP) with leptin and serum glucose leptin levels in obese Saudi patients. Materials and Methods: A total of 206 Saudi adults (80 obese normotensive nondiabetics, 76 obese hypertensive with Type 2 Diabetes and 50 normotensive nondiabetic controls) were genotyped for -2548G>A LEP polymorphism using the polymerase chain reaction-restriction fragment-length polymorphism technique. Results: Participants with minor AA genotype had significantly higher blood glucose levels (6.8 ± 0.55 mmol/L vs. 5.8 ± 0.30 mmol/L; p < 0.04) and HOMA-IR (4.1 ± 0.84 vs. 2.6 ± 0.67; p = 0.03) against those carrying major GG genotype. Participants with heterozygous GA genotype had significantly higher serum leptin levels against those carrying major GG genotype (40.0 ± 2.6 ng/mL vs. 29.6 ± 2.6 ng/mL; p = 0.04). Further investigation showed that individuals with AA, GA, GA + AA genotypes are at greater risk of developing hyperglycemia compared to those with GG genotype [OR 3.7(1.6−8.4), p = 0.001; 3.2 (1.2−8.6), p = 0.03; 3.5 (1.6−7.7), p = 0.001, respectively]. Additionally, the -2548AA allele was shown to be a risk factor for hyperglycemia [OR 1.9 (1.2−3.0), p = 0.006]. Our data revealed no relationship between this variant of the LEP gene with systolic and diastolic BP, signifying that this genetic variant is not a significant marker of obesity and hypertension in the Saudi population. Conclusions: AA and GA genotypes and LEP gene -2548AA alleles may signify potent risk factors predisposing healthy individuals to develop T2DM regardless of blood-pressure profile.

A Comparative Study for Measuring Serum Ferritin Levels with Three Different Laboratory Methods: Enzyme-Linked Immunosorbent Assay versus Cobas e411 and Cobas Integra 400 Methods.

Different laboratory methods are used to measure serum ferritin levels as a marker of iron status in the general population. This study aimed to compare serum ferritin levels using enzyme-linked immunosorbent assay (ELISA) versus immunochemiluminescence (Cobas e411) and immunoturbidimetric (Cobas Integra 400) methods in terms of sensitivity, specificity and accuracy, and whether they can be used interchangeably. A comparative cross-sectional study enrolled one hundred and six adult Yemeni patients (33 males and 73 females) aged 18-55 years, recruited from the dermatology and cosmetic center of Hadhramout Modern Hospital, Mukalla, Yemen. Serum ferritin levels were measured using ELISA, Cobas e411, and Cobas Integra 400 methods. For method comparison, a paired-sample t-test was used. For the consistency between the three methods, they were analyzed with regression and Pearson correlation coefficient. For determining accuracy, a receiver operating curve (ROC) was used. Bias error between the methods was determined through a Bland-Altman plot analysis. Our results did not show any significant statistical difference between ELISA and Cobas e411 (52.55 ± 7.4 µg/L vs. 52.58 ± 7.5 µg/L, p = 0.967), while there were significantly higher values from Cobas Integra 400 results than Cobas e411 (56.31 ± 7.8 µg/L vs. 52.58 ± 7.5 µg/L, p < 0.001) and ELISA (52.55 ± 7.4 µg/L vs. 56.31 ± 7.8 µg/L, p < 0.001). According to the correlation coefficient and linear regression analysis, a strong association between ELISA with Cobas e411 (r = 0.993, p < 0.001) and Cobas Integra 400 results (r = 0.994, p < 0.001) were revealed. For determining accuracy, Cobas e411 and Cobas Integra 400 results showed higher sensitivity (92.0%; 90.0%) and specificity (97.7%; 99.9%) respectively. Additionally, the Bland-Altman plot analysis showed a high agreement between the ELISA and Cobas e411 methods (bias: -0.035). In contrast, there was a low agreement between the ELISA and Cobas Integra 400 methods (bias: -3.75). Similarly, the agreement between Cobas e411 and Cobas Integra 400 methods was low (bias: -3.72). Serum ferritin levels were measured by Cobas e411, and Cobas Integra 400 methods were strongly correlated with the ELISA results, with higher sensitivity, specificity, and accuracy. However, further investigations with larger samples are required for improved accuracy and more precise results, and to determine whether they can be used interchangeably.

Advances in understanding the specificity function of transporters by machine learning.

Understanding the underlying molecular mechanism of transporter activity is one of the major discussions in structural biology. A transporter can exclusively transport one ion (specific transporter) or multiple ions (general transporter). This study compared categorical and numerical features of general and specific calcium transporters using machine learning and attribute weighting models. To this end, 444 protein features, such as the frequency of dipeptides, organism, and subcellular location, were extracted for general (n = 103) and specific calcium transporters (n = 238). Aliphatic index, subcellular location, organism, Ile-Leu frequency, Glycine frequency, hydrophobic frequency, and specific dipeptides such as Ile-Leu, Phe-Val, and Tyr-Gln were the key features in differentiating general from specific calcium transporters. Calcium transporters in the cell outer membranes were specific, while the inner ones were general; additionally, when the hydrophobic frequency or Aliphatic index is increased, the calcium transporter act as a general transporter. Random Forest with accuracy criterion showed the highest accuracy (88.88% ±5.75%) and high AUC (0.964 ± 0.020), based on 5-fold cross-validation. Decision Tree with accuracy criterion was able to predict the specificity of calcium transporter irrespective of the organism and subcellular location. This study demonstrates the precise classification of transporter function based on sequence-derived physicochemical features.

Awareness Level of Cancer Risk Factors and Warning Signs and Cancer Campaign Attendance behavior among Saudi Adults in a Tertiary Hospital in Riyadh.

OBJECTIVE: To estimate the awareness level of Saudi adults about the risk factors and warning signs of cancer and observe the association of different determinants with cancer Knowledge in Riyadh city. METHODS: A cross-sectional study carried out on 390 Saudis in the outpatient clinics of King Khalid University Hospital (KKUH), Riyadh. Data was collected using a validated Arabic questionnaire. Data was analyzed using SPSS software. RESULTS: The overall awareness of the participants was limited, as the mean score of the overall cancer knowledge was 49.2%. Most of the correctly answered questions were on general cancer knowledge and not about risk factors or warnings signs. The only risk factors identified by most participants were smoking, alcohol, air pollution and genetic factors. Important risk factors such as physical inactivity, low dietary fibers and obesity were not well known. Despite Hepatitis B virus infection (HBV) being endemic in the kingdom, only 30% identified it as a risk factor. Apart from "A Thickening or a lump in breast or other organs", < 50% of participants recognized alarming warning signs such as unexplained weight loss, unusual bleeding, and change in bowel habits. Females were more inclined to attend cancer awareness campaigns. Though people who reported attendance of cancer awareness campaigns surprisingly did not achieve a significantly higher overall knowledge score. CONCLUSION: The public lacks knowledge of well-established cancer risk factors and warning signs, despite recent advances in the medical field. Results suggest that current strategies to educate the public need to be revised.
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Metabolomics Profiling of Cystic Renal Disease towards Biomarker Discovery.

Cystic renal disease (CRD) comprises a heterogeneous group of genetic and acquired disorders. The cystic lesions are detected through imaging, either incidentally or after symptoms develop, due to an underlying disease process. In this study, we aim to study the metabolomic profiles of CRD patients for potential disease-specific biomarkers using unlabeled and labeled metabolomics using low and high-resolution mass spectrometry (MS), respectively. Dried-blood spot (DBS) and serum samples, collected from CRD patients and healthy controls, were analyzed using the unlabeled and labeled method. The metabolomics profiles for both sets of samples and groups were collected, and their data were processed using the lab's standard protocol. The univariate analysis showed (FDR p < 0.05 and fold change 2) was significant to show a group of potential biomarkers for CRD discovery, including uridine diphosphate, cystine-5-diphosphate, and morpholine. Several pathways were involved in CRD patients based on the metabolic profile, including aminoacyl-tRNA biosynthesis, purine and pyrimidine, glutathione, TCA cycle, and some amino acid metabolism (alanine, aspartate and glutamate, arginine and tryptophan), which have the most impact. In conclusion, early CRD detection and treatment is possible using a metabolomics approach that targets alanine, aspartate, and glutamate pathway metabolites.

Tissue Lipidomic Alterations Induced by Prolonged Dexamethasone Treatment.

Dexamethasone is a synthetic glucocorticoid medication vastly used to treat abnormal immune responses and inflammation. Although the medication is well-established in the medical community, the prolonged treatment with high dosages of dexamethasone may lead to severe adverse effects through mechanisms that are not yet well-known. Lipids are a large class of hydrophobic molecules involved in energy storage, signaling, modulation of gene expression, and membranes. Hence, untargeted lipidomics may help unravel the biochemical alterations following prolonged treatment with high dosages of dexamethasone. We performed comprehensive lipidomic analyses of brain, heart, kidney, liver, and muscle samples obtained from rats that were treated with intramuscular injections of dexamethasone for 14 weeks compared to healthy controls. The employed methodology and statistical analysis showed that phosphatidic acids, glycerophospholipids, plasmalogens, and fatty acids are deeply affected by prolonged use of the medication. Brain tissue was only mildly affected, but skeletal muscle showed a strong accumulation of lipids that may be correlated with alterations in the energy metabolism, myopathy, and oxidative processes. This work provides new insights into the mechanisms of action and adverse effects for one of the most commonly prescribed class of drugs in the world.