Potential Mechanism and Pathways in Cerebral Ischemia- Reperfusion Injury: Therapeutic GLANCE.

Abtract Cerebral ischemia-reperfusion injury is a progressive disease that results in the lack of oxygen and nutrients needed for cellular metabolism in neurons due to blood flow disorders. The pathogenesis of this disease is different; however, it has been shown that the onset of inflammation interacts with I/R through the production of active oxygen species and increases the apoptosis of the neural cells. Therefore, different signaling pathways interfere with the induction of inflammation and the production of active oxygen species. Therefore, the common point of these pathways leads to the appearance of apotosisinducing molecules and inhibit the expression of anti-apoptosis molecules such as BCL-2. In the other hand, due to the dual role of some of these pathways in apoptosis and angiogenesis, it can be said that further studies can be useful in finding suitable therapeutic strategies based on the pathogenesis of Cerebral ischemia-reperfusion injury inducing angiogenesis in order to repair damaged veins and prevent disease progression. Keywords: Reperfusion; Nitric Oxide; Reactive Oxygen Species; Therapeutics.

Prevalence of Aminoglycoside Resistance Genes in Enterococcus Strains in Kermanshah, Iran.

BACKGROUND: This study aimed to investigate the occurrence of aminoglycoside resistance and the prevalence of the resistance-modifying enzyme genes, ant(3")-III, ant(6')-Ia, aac(6')-Ie-aph(2")-Ia, and aph(2')-Id, in Enterococcus strains isolated in Kermanshah Province, west of Iran. METHODS: In this cross-sectional study, 108 enterococcal isolates from urine, wound, blood, and cerebrospinal fluid samples were collected. The Enterococcus species were recognized by standard phenotypic/biochemical tests. The antimicrobial resistance forms were detected using a disc diffusion method. Polymerase chain reaction was designed to identify aminoglycoside resistance genes, including ant(3")-III, ant(6')-Ia, aac(6')-Ie-aph(2")-Ia, and aph(2')-Id. RESULTS: Totally, 108 strains with a final diagnosis of Enterococcus were extracted from 84 (77.8%) urine, 14 (13%) wound, 6 (5.6%) blood, and 4 (3.7%) cerebrospinal fluid samples. Among the 108 Enterococcus specimens, 94 (87%) cases were Enterococcus faecalis and 14 (13%) were Enterococcus faecium. The highest frequency of resistance was observed for erythromycin (88.9%), while the lowest was found for streptomycin (44.4%). The frequency of high-level gentamicin resistance was 42.2%. Among the identified specimens, 42.6% contained the aac(6')-Ie-aph(2")-I gene, 20.4% contained the ant(6')-Ia gene, and 15.7% contained the ant(3")-III gene. A significant correlation was found between phenotypic gentamicin resistance and the presence of the aminoglycoside resistance genes (P<0.05). CONCLUSION: This study showed the high resistance of Enterococcus strains isolated from hospital samples. Compared with the previous studies, the strains isolated in our study showed a higher percentage of resistance to aminoglycosides.

The Relationship between Body Mass Index and Temperament, Based on the Knowledge of Traditional Persian Medicine.

BACKGROUND: Temperament is one of the key concepts in traditional Persian medicine (TPM), which is the quality that will be obtained by the reaction between the four elements of water, earth, fire and air, and its property is different from the component property. According to TPM, temperament is influenced by many factors and the bulk of the body is one of these factors. In this study, we aimed at determining the relationship between person's temperament based on the knowledge of TPM and the body mass index (BMI). METHODS: This study is a cross-sectional study that examines the relationship between person's temperament and their BMI. For this purpose, 86 employees (20-40 years) of Shiraz Medical School were selected and their temperaments assessed using Dr. Mojahedi's temperament questionnaire and visitation by a TPM specialist. SPSS 18 was used for statistical analysis. RESULTS: In this study, 86 employees were evaluated including 18 (20.9%) male and 68 (79.1%) female. The mean age of the participants was 32.45±4.93 years old and the mean BMI was 23.75±2.94. Minimum and maximum BMI were related to people with temperament of cold and dry and cool temperament and more with the mean of 20.55±1.90 and 28.13±0.35, where the difference was statistically significant (P=0.0003). BMI in people with a temperament of hot and dry was significantly less than those with cool and wet temperament (P=0.01). CONCLUSION: Based on TPM, people with wet temperament are usually more obese and people with dry temperament are thinner. The results of this study confirm that obese people are cold and wet or have phlegmatic temperament whereas in comparison thin people are drier. This is in-line with the principles of TPM.

Altered oxidative status and integrin expression in cyclosporine A-treated oral epithelial cells.

BACKGROUND AND OBJECTIVE: Cyclosporine A (CsA) is an immunosuppressive agent administered to transplant patients. A well-known reported oral side effect of CsA consumption is gingival overgrowth (GO). Changes in the expression of integrins occurring in the gingiva following CsA treatment have been reported but these reports are mainly concerned with the connective tissue of the gingiva. In this study we targeted the alterations in the oral epithelium using KB cells, an oral epithelial cell line. METHODS: Cultured oral epithelial cells were treated with increasing concentrations of CsA (0.1, 1 and 10 µg/mL) and the molecular changes involving antioxidant enzymes [glutathione peroxidase (GPx) and glutathione reductase (GR)] and the level of reactive oxygen species (ROS) were measured. Quantitative real-time PCR was used to assess the expression of selected integrins (α2, α5 and ß1). RESULTS: At CsA concentration above 0.1 µg/mL GPx demonstrated an increase in activity while GR activity and the level of reduced glutathione were diminished (p < 0.05). α5 and ß1 integrin were downregulated at all treatment concentrations of CsA while α2 integrin presented this effect at concentrations above 1 µg/mL (p < 0.05). CONCLUSION: The results suggest a possible role for oxidative stress and the altered expression of integrins in the pathology of CsA-induced gingival overgrowth.

Collagen: The Superior Material for Full-Thickness Oral Mucosa Tissue Engineering.

BACKGROUND: Tissue engineering has significantly progressed in developing full-thickness oral mucosa constructs designed to replicate the natural oral mucosa. These constructs serve as valuable in vitro models for biocompatibility testing and oral disease modeling and hold clinical potential for replacing damaged or lost oral soft tissue. However, one of the major challenges in tissue engineering of the oral mucosa is the identification of an appropriate scaffold with optimal porosity, interconnected porous networks, biodegradability, and biocompatibility. These characteristics facilitate cell migration, nutrient delivery, and vascularization. Various biomaterials have been investigated for constructing tissue-engineered oral mucosa models; collagen has demonstrated superior outcomes compared with other materials. HIGHLIGHT: This review discusses the different types of tissue-engineered oral mucosa developed using various materials and includes articles published between January 2000 and December 2022 in PubMed and Google Scholar. The review focuses on the superiority of collagen-based scaffolds for tissue engineering of oral mucosa, explores in vitro applications, and discusses potential clinical applications. CONCLUSION: Among the various scaffold materials used for engineering the connective tissue of the oral mucosa, collagen-based scaffolds possess excellent biological properties, offering high-quality oral mucosa constructs and high resemblance to the native human oral mucosa in terms of histology and expression of various differentiation markers.

Evaluate the ability of clinical decision support systems (CDSSs) to improve clinical practice.

INTRODUCTION: Prevalence of new diseases, medical science promotion and increase of referring to health care centers, provide a good situation for medical errors growth. Errors can involve medicines, surgery, diagnosis, equipment, or lab reports. Medical errors can occur anywhere in the health care system: In hospitals, clinics, surgery centers, doctors' offices, nursing homes, pharmacies, and patients' homes. According to the Institute of Medicine (IOM), 98,000 people die every year from preventable medical errors. In 2010 from all referred medical error records to Iran Legal Medicine Organization, 46/5% physician and medical team members were known as delinquent. One of new technologies that can reduce medical errors is clinical decision support systems (CDSSs). METHODS: This study was unsystematic-review study. The literature was searched on evaluate the "ability of clinical decision support systems to improve clinical practice" with the help of library, books, conference proceedings, data bank, and also searches engines available at Google, Google scholar. For our searches, we employed the following keywords and their combinations: medical error, clinical decision support systems, Computer-Based Clinical Decision Support Systems, information technology, information system, health care quality, computer systems in the searching areas of title, keywords, abstract, and full text. In this study, more than 100 articles and reports were collected and 38 of them were selected based on their relevancy. DISCUSSION AND CONCLUSION: The CDSSs are computer programs, designed for help to health care careers. These systems as a knowledge-based tool could help health care manager in analyze evaluation, improvement and selection of effective solutions in clinical decisions. Therefore, it has a main role in medical errors reduction. The aim of this study was to express ability of the CDSSs to improve

Effects of Dental Pulp Stem Cell Preconditioning on Osteogenesis using Conditioned Media of Probiotics Bacteria.

Background: Stem cells are used to treat numerous diseases; however, their lifespan is rather short. Factors such as probiotics affect and improve various cell lineage efficacies. The aim of this study was to investigate the effects of probiotics-conditioned media on dental pulp stem cell potentials in osteogenesis. Methods: The experiment was initiated by culturing Lactobacillus casei and Lactobacillus acidophilus probiotics as well as DPS-7 cells. Bacterial supernatants were separated and concentrated as the conditioned media. The DPS-7 cells were treated with various concentrations of the conditioned media. Furthermore, MTT assay and alkaline phosphatase activity were used. The mRNA expression of three genes (bFGF, EGF-ß and BMP-2) involved in osteogenesis was analyzed using a real-time polymerase chain reaction. Results: The response of dental pulp stem cells to probiotics preconditioning promoted cell proliferation, increased alkaline phosphatase activity and upregulated bFGF and BMP-2 gene expression. Increased expression was significant for BMP-2 and moderate for bFGF; however, it was non-significant for EGF-ß. The use of the two probiotics was the most effective. Conclusion: In general, synergism of the combined probiotics preconditioning induces differentiation of DPS-7 cells into osteoblasts most effectively.

Hydroalcoholic extract of Passiflora incarnata improves the autistic-like behavior and neuronal damage in a valproic acid-induced rat model of autism.

Experimental autism in rodents can be caused by prenatal valproic acid (VPA) exposure. Some diseases, such as attention-deficit hyperactivity disorder (ADHD), insomnia, opiate withdrawal, and generalized anxiety disorder can be treated by consuming Passiflora incarnata, due to the possession of bioactive compounds like alkaloids, phenols, and flavonoids. The present study aims to investigate the role of the hydroalcoholic extract of Passiflora incarnata in behavioral and oxidative stress aberrations induced by VPA. On the gestational day (GD), 12.5, pregnant Wistar rats received VPA (600 mg/kg subcutaneously). Male pups were treated with the extract (30,100, and 300 mg/kg) from postnatal day 35 to the end of the experiment, and underwent behavioral testing to evaluate locomotion, repetitive, and stereotyped movements, anxiety, and social and cognitive behaviors. After behavioral testing, the blood sample was taken from the left ventricle to determine serum catalase (CAT), superoxide dismutase (SOD), malondialdehyde (MDA), and total antioxidant capacity (TAC). Then the animals were euthanized and their brains were taken out for histological assays of the prefrontal cortex (PFC) and CA1 hippocampus with hematoxylin/eosin. The total phenol and flavonoid content and antioxidant activity of the extract were also measured. A significant improvement was observed in behavioral disturbances, particularly with 300 mg/kg of Passiflora. Moreover, the formation of oxidative stress markers significantly decreased at this dose. The extract also reduced the percentage of damaged cells in the CA1 and PFC. The results indicated that Passiflora extract could ameliorate VPA-induced behavioral aberrations possibly due to the antioxidant actions of its bioactive compounds.

Use of Complementary and Alternative Medicine and its Related Factors Among Pregnant Women in Shiraz, South of Iran: A Cross-Sectional Study.

Background: Women are known to use Complementary and Alternative Medicine (CAM) during pregnancy despite the subsequent potential unknown effects associated with its use. This study was performed to evaluate the use of CAM products and its related factors among pregnant women in Shiraz, Iran. Materials and Methods: This cross-sectional study of 365 pregnant women referred to obstetrics clinics affiliated to Shiraz University of Medical Sciences (Iran) was conducted in 2020. Sampling was performed in all three affiliated centers based on a probability, proportional to size protocol. Pregnant women were nominated using a systematic random sampling scheme using their health record numbers. A 20-item questionnaire was administered via in-person interviews and data on demographics, use of CAM products, reasons for use, and referral and information sources were collected. Binary logistic regression was applied and adjusted odds ratios were estimated. Results: CAM use was reported for recent pregnancies by 56.92% of participating women, with a significantly higher use in participants of low socioeconomic status (Chi21 = 5.12; p < 0.024). The main reason for CAM use was having faith in the efficacy of CAM (72.73%). Reported CAM use was restricted to herbal preparations. Most of the women who used CAM (73.0%) did not report their CAM use to their doctor. Conclusions: There is a high rate of CAM use among pregnant women. More maternal care services during current pregnancy, parity, and general and pregnancy-related history of CAM use were correlated with CAM use. Mother-healthcare provider relationship should be improved in the field of CAM.

The efficacy of complementary treatment with marshmallow (Althaea officinalis L.) on vulvovaginal candidiasis: A randomized double-blinded controlled clinical trial.

BACKGROUND: Vulvovaginal candidiasis is a common gynecologic infection, and recurring cases are yet incurable. This trial was based on Persian medicine to compare how effective marshmallow aqueous extract 4% plus clotrimazole 1% (CLOT-M) is compared to clotrimazole 1% vaginal creams on VVC. METHODS: This study randomly assigned 100 women with VVC into two groups. The target group (n = 50) was treated with CLOT-M while controls (n = 50) with clotrimazole vaginal creams for seven consecutive nights. Different VVC symptoms and signs, and yeast culture from vaginal discharge were evaluated as the outcome measures before the intervention and 7 and 30 days after. RESULTS: The efficacy of CLOT-M vaginal cream was assessed during the 1st and 2nd follow-ups, indicating a significant decrease in mean itching (P = 0.001 for both comparisons) and dyspareunia score (P = 0.001 and P = 0.04, respectively) as compared to treatment with clotrimazole vaginal cream. Moreover, after 7 days of the intervention, patients in the CLOT-M group experienced significant improvement in mean dysuria score compared to those in the control group (P = 0.001). Neither cream caused any significant adverse events. CONCLUSION: It seems that CLOT-M vaginal cream had a significant effect on the VVC symptoms improvement, without any significant side effects. However, larger sample-sized trials are needed for more evidence-based judgment.

3D Printing of Dental Prostheses: Current and Emerging Applications.

Revolutionary fabrication technologies such as three-dimensional (3D) printing to develop dental structures are expected to replace traditional methods due to their ability to establish constructs with the required mechanical properties and detailed structures. Three-dimensional printing, as an additive manufacturing approach, has the potential to rapidly fabricate complex dental prostheses by employing a bottom-up strategy in a layer-by-layer fashion. This new technology allows dentists to extend their degree of freedom in selecting, creating, and performing the required treatments. Three-dimensional printing has been narrowly employed in the fabrication of various kinds of prostheses and implants. There is still an on-demand production procedure that offers a reasonable method with superior efficiency to engineer multifaceted dental constructs. This review article aims to cover the most recent applications of 3D printing techniques in the manufacturing of dental prosthetics. More specifically, after describing various 3D printing techniques and their advantages/disadvantages, the applications of 3D printing in dental prostheses are elaborated in various examples in the literature. Different 3D printing techniques have the capability to use different materials, including thermoplastic polymers, ceramics, and metals with distinctive suitability for dental applications, which are discussed in this article. The relevant limitations and challenges that currently limit the efficacy of 3D printing in this field are also reviewed. This review article has employed five major scientific databases, including Google Scholar, PubMed, ScienceDirect, Web of Science, and Scopus, with appropriate keywords to find the most relevant literature in the subject of dental prostheses 3D printing.

Patient-reported impact of myasthenia gravis in the real world: findings from a digital observational survey-based study (MyRealWorld MG).

OBJECTIVES: This study aims to explore the impact of myasthenia gravis (MG) - in terms of treatments, side effects, comorbidities, psychological health and work or study- in the real world from a patient perspective. DESIGN AND PARTICIPANTS: This is a prospective, observational, digital, longitudinal study. Adults diagnosed with MG residing in the USA, Japan, Germany, the UK, Italy, Spain or Canada were eligible to participate in the study. There were no other exclusion criteria. Participants used a bespoke smartphone application to confirm eligibility, provide consent and enter data about their MG into a profile, a tracker to record MG-related events and a series of patient-reported outcome instruments. 1693 participants completed at least 1 survey and were included in this analysis. RESULTS: Results are presented as a percentage of respondents to each survey question. The study population was largely female (69% of 1586 respondents), with an average age of 49.9 years (SD 14.8). In the previous 12 months, 83.7% of 1412 respondents confirmed that they had received one or more routine treatments for MG, and 67.1% of 255 respondents confirmed that they had experienced a side effect in the previous month. Commonly experienced comorbidities reported by 966 respondents were thyroid problems, hypertension and anxiety, experienced by 37.5%, 31.4% and 28.0% of respondents, respectively.According to 889 respondents to the Hospital Anxiety and Depression Scale survey, 52.7% and 43.2% had a score indicative of at least mild anxiety and mild depression, respectively. Of 257 respondents, 33.0% reported experiencing a work or study impact in the past month. CONCLUSIONS: This analysis of baseline characteristics of the MyRealWorld MG study population indicates that, despite current treatments, patients experience notable burden. Further scheduled analyses will develop a longitudinal picture of MG burden. TRIAL REGISTRATION NUMBER: NCT04176211.

Ameliorative effects of metformin on renal histologic and biochemical alterations of gentamicin-induced renal toxicity in Wistar rats.

BACKGROUND: The aim of this study was to test the potential properties of metformin (MF) to protect the kidney from gentamicin (GM)-induced renal toxicity. MATERIALS AND METHODS: In this preclinical study, 50 male Wistar rats were randomly divided into five groups of 10 rats in each. In the first group (group I), they were kept in the same condition as others without receiving drugs for 10 days. In group II, the rats were injected intraperitoneally with 100 mg/kg/day of GM for 10 consecutive days. Group III rats received 100 mg/kg/day MF orally for 10 days. In group IV, the rats received GM (100 mg/kg; intraperitoneally) for 10 days and 100 mg/kg/day MF orally for the next 10 days. In the last group (group V), the rats received a combination of GM 100 mg/kg/day intraperitoneally and MF 100 mg/kg/day orally for 10 days simultaneously. Serum blood urea nitrogen (BUN) and creatinine (Cr) values were measured and renal tissues of the animals were processed for light microscope examination. RESULTS: The levels of BUN in groups II, IV, and V, and also the serum level of Cr in groups II and V were increased significantly after the experiment. Furthermore, post-treatment with MF or co-treatment with MF could prevent the elevation of serum BUN and Cr induced by GM and also attenuates the damage score (P < 0.05). CONCLUSIONS: MF may prevent or ameliorate GM-induced acute renal failure, and therefore it might be beneficial in patients under treatment with this medicine.

The L-shaped selection algorithm for multitrait genomic selection.

Selecting for multiple traits as opposed to a single trait has become increasingly important in genomic selection. As one of the most popular approaches to multitrait genomic selection, index selection uses a weighted average of all traits as a single breeding objective. Although intuitive and effective, index selection is not only numerically sensitive but also structurally incapable of finding certain optimal breeding parents. This paper proposes a new selection method for multitrait genomic selection, the L-shaped selection, which addresses the limitations of index selection by normalizing the trait values and using an L-shaped objective function to find optimal breeding parents. This algorithm has been proven to be able to find any Pareto optimal solution with appropriate weights. Two performance metrics have also been defined to quantify multitrait genomic selection algorithms with respect to their ability to accelerate genetic gain and preserve genetic diversity. Computational experiments were conducted to demonstrate the improved performance of L-shaped selection over-index selection.

Machine Learning Prediction of Nitrification From Ammonia- and Nitrite-Oxidizer Community Structure.

Accurately modeling nitrification and understanding the role specific ammonia- or nitrite-oxidizing taxa play in it are of great interest and importance to microbial ecologists. In this study, we applied machine learning to 16S rRNA sequence and nitrification potential data from an experiment examining interactions between cropping systems and rhizosphere on microbial community assembly and nitrogen cycling processes. Given the high dimensionality of microbiome datasets, we only included nitrifers since only a few taxa are capable of ammonia and nitrite oxidation. We compared the performance of linear and nonlinear algorithms with and without qPCR measures of bacterial and archaea ammonia monooxygenase subunit A (amoA) gene abundance. Our feature selection process facilitated the identification of taxons that are most predictive of nitrification and to compare habitats. We found that Nitrosomonas and Nitrospirae were more frequently identified as important predictors of nitrification in conventional systems, whereas Thaumarchaeota were more important predictors in diversified systems. Our results suggest that model performance was not substantively improved by incorporating additional time-consuming and expensive qPCR data on amoA gene abundance. We also identified several clades of nitrifiers important for nitrification in different cropping systems, though we were unable to detect system- or rhizosphere-specific patterns in OTU-level biomarkers for nitrification. Finally, our results highlight the inherent risk of combining data from disparate habitats with the goal of increasing sample size to avoid overfitting models. This study represents a step toward developing machine learning approaches for microbiome research to identify nitrifier ecotypes that may be important for distinguishing ecotypes with defining roles in different habitats.

Obesity Mediates the Effect of Past and Current Mental Health on Diabetes Treatment Outcomes.

Background: Anxiety and depression (A&D) are common among patients with diabetes (DM). We assessed the mediatory effect of obesity on the pathway between past and current mental health (as measured by A&D) on self-care DM treatment adherence and DM treatment failure. Methods: We used data collected in two rounds (2009-12, 2014-2018) of a population-based cohort study in Kerman, Iran (KERCADRS). By a random cluster sampling approach, 5900 residents of Kerman aged 15 to 75 yr were recruited to the study to measure demographic characteristics, body measures (to calculate BMI), adherence to DM treatment, and symptoms for A&D (Beck questionnaires). Fasting blood also collected for biochemical tests and glycemic control (as an indicator for treatment failure). We used path analysis and Structural Equation Modeling (SEM) for analysis. Results: We analyzed data for 264 patients with diabetes who attended in both study rounds. While only 5.7% reported not adherence to DM treatment, 67.9% had diabetes treatment failure. Past mental health had a significant positive association with HbA1c (standard beta coefficient for total effect =0.148, P=0.044), of which 42% was indirect effect through obesity. Current mental health had a positive association with current no adherence to diabetes treatment (standard beta coefficient for total effect=0.077, P=0.001). Conclusion: Our study showed an important indirect path from A&D to diabetes treatment failure outcome which mediated by obesity. Screening for A&D symptoms and treating those as well as obesity among patients with diabetes may improve glycemic control.

Ivermectin-Induced Clinical Improvement and Alleviation of Significant Symptoms of COVID-19 Outpatients: A Cross-Sectional Study.

Although several drugs have been proposed and used to treat the COVID-19 virus, but recent clinical trials have concentrated on ivermectin. It appears that ivermectin can potentially act against COVID-19 and stop the development in its infancy. The purpose of this study was to determine the effect of ivermectin on the recovery of outpatients with COVID-19. In this cross-sectional study, we compared the symptoms reduction in COVID-19 disease in two groups of patients by administering ivermectin. A total of 347 mild outpatients in the Iranian provinces of Qazvin and Khuzestan with a confirmed PCR were enrolled. The symptoms of outpatients with COVID-19 were analyzed using SPSS (V23). In this cross-sectional study, the sex ratio was 0.64 (female/male: 37.9/59.8) and most patients were under 50 years old (72.8%). The results of this study demonstrated a significant decrease in several COVID-19 disease symptoms, including fever, chills, dyspnea, headache, cough, fatigue, and myalgia in the group administered ivermectin compared to the control group. In addition, the odds ratio of the above symptoms was significantly lower in patients who received ivermectin than in patients who did not receive the drug (OR = 0.16, 95% CI = 0.09, 0.27).

Investigation of Durability of SARS-CoV-2-specific IgG and IgM Antibodies in Recovered COVID-19 Patients: A Prospective Study.

Background: Evidence on seroconversion profile of the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infected patients is limited. We mainly aimed to evaluate seroconversion and persistence of virus-specific antibodies in patients infected by coronavirus disease 2019 (COVID-19). Methods: This prospective study was conducted on 118 patients with COVID-19 presentations admitted to three hospitals in Iran and recovered from the disease, during April and May 2020. Presence of COVID-19 was confirmed by Polymerase Chain Reaction (PCR) testing on nasopharyngeal swabs. Serum samples were collected at different time points, including 0-5, 6-15, 16-25, 26-35, and 36-95 days of clinical symptom onset. For measurement of SARS-CoV-2-specific IgG and IgM antibody titers, Iran's Food and Drug Administration-approved SARS-CoV-2 ELISA kits were used. Results: Serologic assay revealed that 37.3% of patients (n=44) were positive for IgM at 0-5 days interval after clinical symptom onset. This rate was 60.2% (n=71) for IgG. There were increasing IgM and IgG seroconversion rates during first 25 days of clinical symptom onset, but seropositivity started to decrease thereafter, which was more evident for IgM (17.9%) than IgG (58.9%) at the 36-95 days post symptoms appearance. In other words, it was found that 83.6% of IgM-positive and 32.9% of IgG-positive patients in the first month of clinical symptom onset became seronegative in the third month of clinical symptom onset. Conclusion: The findings demonstrated that antibody responses to SARS-CoV-2 infection were developed in recovered COVID-19 patients; however, some of them were seronegative three months after onset of relevant symptoms. Furthermore, the stability of anti-SARS-CoV-2 antibodies could also correct our expectations from COVID-19 vaccination responses.

Validation of red cell distribution width as a COVID-19 severity screening tool.

AIM: The aim of this study is the predictive validation of red cell distribution width (RDW) in COVID-19 patients. METHOD: In total, 331 COVID-19 patients were classified as 'severe' and 'nonsevere' groups based on the WHO standard criteria. The levels of RDW standard deviation (SD) were evaluated as both continuous and categorical variables. Multivariate statistical analyses were used. RESULTS: RDW-SD ≤43 and ≤47 fl thresholds showed high specificity (90.1-91.4%) for diagnosing nonsevere illness and no risk of death. RDW-SD >47 indicated severe illness and a high mortality risk while 43

The look ahead trace back optimizer for genomic selection under transparent and opaque simulators.

Recent advances in genomic selection (GS) have demonstrated the importance of not only the accuracy of genomic prediction but also the intelligence of selection strategies. The look ahead selection algorithm, for example, has been found to significantly outperform the widely used truncation selection approach in terms of genetic gain, thanks to its strategy of selecting breeding parents that may not necessarily be elite themselves but have the best chance of producing elite progeny in the future. This paper presents the look ahead trace back algorithm as a new variant of the look ahead approach, which introduces several improvements to further accelerate genetic gain especially under imperfect genomic prediction. Perhaps an even more significant contribution of this paper is the design of opaque simulators for evaluating the performance of GS algorithms. These simulators are partially observable, explicitly capture both additive and non-additive genetic effects, and simulate uncertain recombination events more realistically. In contrast, most existing GS simulation settings are transparent, either explicitly or implicitly allowing the GS algorithm to exploit certain critical information that may not be possible in actual breeding programs. Comprehensive computational experiments were carried out using a maize data set to compare a variety of GS algorithms under four simulators with different levels of opacity. These results reveal how differently a same GS algorithm would interact with different simulators, suggesting the need for continued research in the design of more realistic simulators. As long as GS algorithms continue to be trained in silico rather than in planta, the best way to avoid disappointing discrepancy between their simulated and actual performances may be to make the simulator as akin to the complex and opaque nature as possible.