New reports of pathogen spectrum associated with bulb rot and their interactions during the development of rot in tulip.

Bulb rot, a highly damaging disease of tulip plants, has hindered their profitable cultivation worldwide. This rot occurs in both field and storage conditions posing significant challenges. While this disease has been attributed to a range of pathogens, previous investigations have solely examined it within the framework of a single-pathogen disease model. Our study took a different approach and identified four pathogens associated with the disease: Fusarium solani, Penicillium chrysogenum, Botrytis tulipae, and Aspergillus niger. The primary objective of our research was to examine the impact of co-infections on the overall virulence dynamics of these pathogens. Through co-inoculation experiments on potato dextrose agar, we delineated three primary interaction patterns: antibiosis, deadlock, and merging. In vitro trials involving individual pathogen inoculations on tulip bulbs revealed that B. tulipae,was the most virulent and induced complete bulb decay. Nonetheless, when these pathogens were simultaneously introduced in various combinations, outcomes ranged from partial bulb decay to elongated rotting periods. This indicated a notable degree of antagonistic behaviour among the pathogens. While synergistic interactions were evident in a few combinations, antagonism overwhelmingly prevailed. The complex interplay of these pathogens during co-infection led to a noticeable change in the overall severity of the disease. This underscores the significance of pathogen-pathogen interactions in the realm of plant pathology, opening new insights for understanding and managing tulip bulb rot.

Frameworks for procurement, integration, monitoring, and evaluation of artificial intelligence tools in clinical settings: A systematic review.

Research on the applications of artificial intelligence (AI) tools in medicine has increased exponentially over the last few years but its implementation in clinical practice has not seen a commensurate increase with a lack of consensus on implementing and maintaining such tools. This systematic review aims to summarize frameworks focusing on procuring, implementing, monitoring, and evaluating AI tools in clinical practice. A comprehensive literature search, following PRSIMA guidelines was performed on MEDLINE, Wiley Cochrane, Scopus, and EBSCO databases, to identify and include articles recommending practices, frameworks or guidelines for AI procurement, integration, monitoring, and evaluation. From the included articles, data regarding study aim, use of a framework, rationale of the framework, details regarding AI implementation involving procurement, integration, monitoring, and evaluation were extracted. The extracted details were then mapped on to the Donabedian Plan, Do, Study, Act cycle domains. The search yielded 17,537 unique articles, out of which 47 were evaluated for inclusion based on their full texts and 25 articles were included in the review. Common themes extracted included transparency, feasibility of operation within existing workflows, integrating into existing workflows, validation of the tool using predefined performance indicators and improving the algorithm and/or adjusting the tool to improve performance. Among the four domains (Plan, Do, Study, Act) the most common domain was Plan (84%, n = 21), followed by Study (60%, n = 15), Do (52%, n = 13), & Act (24%, n = 6). Among 172 authors, only 1 (0.6%) was from a low-income country (LIC) and 2 (1.2%) were from lower-middle-income countries (LMICs). Healthcare professionals cite the implementation of AI tools within clinical settings as challenging owing to low levels of evidence focusing on integration in the Do and Act domains. The current healthcare AI landscape calls for increased data sharing and knowledge translation to facilitate common goals and reap maximum clinical benefit.

A Systemic Review and Meta-analysis of Laparoscopic Surgery Versus Open Surgery for Gallbladder Cancer.

Introduction: Laparoscopy in gallbladder cancer (GBC) has a possible role in staging, radical cure, and palliation in gallbladder cancer. However, a few studies have advocated the use of laparoscopic approach and concluded the safety of this approach. This present study was undertaken to determine the safety and feasibility between open and laparoscopic cholecystectomy in patients with the non-metastatic GBC. Materials and Methods: A systematic database search was performed in MEDLINE, Embase, and Google Scholar for relevant articles. As a result, a list of such studies, clinical trials, published in English up to May 2021, was obtained,14 studies were included and statistical analysis was conducted using RevMan software 5.3 (The Nordic Cochrane Centre). Results: The 5-year survival rate was reported in 13 out of 14 studies (1388 patients), and all compared laparoscopic and open approach. There was no significant heterogeneity in between the studies (chi-square, 10.66; df, 12; I2, 0%). There was significant higher overall survival in open group (389/850 vs 194/538 or 1.45, 95% CI (1.12-1.88), P value, 0.005). There was no significant difference in recurrence rate, operative time, blood loss, lymph node yield, and postoperative complication in between open and laparoscopic groups. Conclusions: Our present study demonstrates that overall survival is significantly increased with open approach when compared with laparoscopic approach. There is no difference in recurrence rate, operative time, blood loss, lymph node yield, and postoperative complications between the open and laparoscopic cholecystectomy groups.

Transcriptome Analysis of Intermittent Light Induced Early Bolting in Flowering Chinese Cabbage.

In flowering Chinese cabbage, early booting is one of the most important characteristics that is linked with quality and production. Through fixed light intensity (280 µmol·m-2·s-1) and fixed intermittent lighting in flowering Chinese cabbage, there was early bolting, bud emergence, and flowering. Moreover, the aboveground fresh weight, blade area, dry weight of blade, and quantification of the leaves in flowering Chinese cabbage were significantly reduced, while the thickness of tillers, tillers height, dry weight of tillers, and tillers weight were significantly increased. The chlorophyll contents and soil-plant analysis and development (SPAD) value decreased in the early stage and increased in the later stage. The nitrate content decreased, while the photosynthetic rate, vitamin C content, soluble sugar content, soluble protein content, phenolic content, and flavonoid content increased, and mineral elements also accumulated. In order to explore the mechanism of intermittent light promoting the early bolting and flowering of '49d' flowering Chinese cabbage, this study analyzed the transcriptional regulation from a global perspective using RNA sequencing. A total of 17,086 differentially expressed genes (DEGs) were obtained and 396 DEGs were selected that were closely related to early bolting. These DEGs were mainly involved in pollen wall assembly and plant circadian rhythm pathways, light action (34 DEGs), hormone biosynthesis and regulation (26 DEGs), development (21 DEGs), and carbohydrate synthesis and transport (6 DEGs). Three hub genes with the highest connectivity were identified through weighted gene co-expression network analysis (WGCNA): BrRVE, BrLHY, and BrRVE1. It is speculated that they may be involved in the intermittent light regulation of early bolting in flowering Chinese cabbage. In conclusion, intermittent light can be used as a useful tool to regulate plant growth structure, increase planting density, enhance photosynthesis, increase mineral accumulation, accelerate growth, and shorten the breeding cycle.

Determinants of Overweight Among Type Two Diabetes Mellitus Patients Attending Public Hospitals At Awusi Resu Zone of Afar Region: Unmatched Case-Control Study.

Background: Diabetes is a major cause of morbidity and mortality; affecting More than 415 million people. Objective: The primary aim of this study was to assess the determinants of being overweight among Type 2 Diabetic patients attending diabetic clinics of public Hospitals in the Awusi resu zone of Afar region, Northeast Ethiopia. Methods: A hospital-based unmatched case-control study design was conducted from May 5 to June 5/2021 by systematic random sampling 286 study participants were involved in the study (96 cases and 190 controls); Logistic regression analysis was performed to identify the best model of factors leading to overweight. The odds ratio and 95% confidence interval were used as a measure of association. Results: Those who have attended college and above have an AOR; of 10.30 CI: (4.16-25.50) ten times higher odds of being overweight when compared to those unable/able to read. Only those who have a family history of diabetes AOR: 3.10 CI (1.04-9.30) have three folds of being overweight when compared to their counterparts. Of those who use insulin for controlling blood glucose (AOR: 0.14 CI (0.03-0.74) 96% at less likely to be overweight compared to those who use exercise. Conclusion and Recommendation: In this study, educational level, Family History, and type of blood glucose controlling mechanism were important predictors of overweight on T2DM. Moreover the diabetes patients were recommended to use insulin for controlling blood glucose.

Zero-valent iron (nZVI) nanoparticles mediate SlERF1 expression to enhance cadmium stress tolerance in tomato.

Cadmium (Cd) pollution threatens plant physiological and biochemical activities and crop production. Significant progress has been made in characterizing how nanoparticles affect Cd stress tolerance; however, the molecular mechanism of nZVI nanoparticles in Cd stress remains largely uncharacterized. Plants treated with nZVI and exposed to Cd had increased antioxidant capacity and reduced Cd accumulation in plant tissues. The nZVI treatment differentially affected the expression of genes involved in plant environmental responses, including those associated with the ERF transcription factor. SlEFR1 was upregulated by Cd stress in nZVI-treated plants when compared with the control and the predicted protein-protein interactions suggested SlERF1 interacts with proteins associated with plant hormone signaling pathway and related to stress. Yeast overexpressing SlEFR1 grew faster after Cd exposure and significantly had higher Cd stress tolerance when compared with empty vector controls. These results suggest that nZVI induces Cd stress tolerance by activating SlERF1 expression to improve plant growth and nutrient accumulation. Our study reveals the molecular mechanism of Cd stress tolerance for improved plant growth and will support new research on overcoming Cd stress and improving vegetable crop production.

The cross talk between type II diabetic microenvironment and the regenerative capacities of human adipose tissue-derived pericytes: a promising cell therapy.

BACKGROUND: Pericytes (PCs) are multipotent contractile cells that wrap around the endothelial cells (ECs) to maintain the blood vessel's functionality and integrity. The hyperglycemia associated with Type 2 diabetes mellitus (T2DM) was shown to impair the function of PCs and increase the risk of diabetes complications. In this study, we aimed to investigate the deleterious effect of the diabetic microenvironment on the regenerative capacities of human PCs. METHODS: PCs isolated from human adipose tissue were cultured in the presence or absence of serum collected from diabetic patients. The functionality of PCs was analyzed after 6, 14, and 30 days. RESULTS: Microscopic examination of PCs cultured in DS (DS-PCs) showed increased aggregate formation and altered surface topography with hyperbolic invaginations. Compared to PCs cultured in normal serum (NS-PCs), DS-PCs showed more fragmented mitochondria and thicker nuclear membrane. DS caused impaired angiogenic differentiation of PCs as confirmed by tube formation, decreased VEGF-A and IGF-1 gene expression, upregulated TSP1, PF4, actin-related protein 2/3 complex, and downregulated COL21A1 protein expression. These cells suffered more pronounced apoptosis and showed higher expression of Clic4, apoptosis facilitator BCl-2-like protein, serine/threonine protein phosphatase, and caspase-7 proteins. DS-PCs showed dysregulated DNA repair genes CDKN1A, SIRT1, XRCC5 TERF2, and upregulation of the pro-inflammatory genes ICAM1, IL-6, and TNF-α. Further, DS-treated cells also showed disruption in the expression of the focal adhesion and binding proteins TSP1, TGF-ß, fibronectin, and PCDH7. Interestingly, DS-PCs showed resistance mechanisms upon exposure to diabetic microenvironment by maintaining the intracellular reactive oxygen species (ROS) level and upregulation of extracellular matrix (ECM) organizing proteins as vinculin, IQGAP1, and tubulin beta chain. CONCLUSION: These data showed that the diabetic microenvironment exert a deleterious effect on the regenerative capacities of human adipose tissue-derived PCs, and may thus have possible implications on the vascular complications of T2DM. Nevertheless, PCs have shown remarkable protective mechanisms when initially exposed to DS and thus they could provide a promising cellular therapy for T2DM.

A research definition and framework for acute paediatric critical illness across resource-variable settings: a modified Delphi consensus.

The true global burden of paediatric critical illness remains unknown. Studies on children with life-threatening conditions are hindered by the absence of a common definition for acute paediatric critical illness (DEFCRIT) that outlines components and attributes of critical illness and does not depend on local capacity to provide critical care. We present an evidence-informed consensus definition and framework for acute paediatric critical illness. DEFCRIT was developed following a scoping review of 29 studies and key concepts identified by an interdisciplinary, international core expert panel (n=24). A modified Delphi process was then done with a panel of multidisciplinary health-care global experts (n=109) until consensus was reached on eight essential attributes and 28 statements as the basis of DEFCRIT. Consensus was reached in two Delphi rounds with an expert retention rate of 89%. The final consensus definition for acute paediatric critical illness is: an infant, child, or adolescent with an illness, injury, or post-operative state that increases the risk for or results in acute physiological instability (abnormal physiological parameters or vital organ dysfunction or failure) or a clinical support requirement (such as frequent or continuous monitoring or time-sensitive interventions) to prevent further deterioration or death. The proposed definition and framework provide the conceptual clarity needed for a unified approach for global research across resource-variable settings. Future work will centre on validating DEFCRIT and determining high priority measures and guidelines for data collection and analysis that will promote its use in research.

Cost-effectiveness analysis of upadacitinib as a treatment option for patients with rheumatoid arthritis in the Kingdom of Saudi Arabia.

AIM: To evaluate cost-effectiveness of upadacitinib (targeted synthetic-disease modifying anti-rheumatic drug [ts-DMARD]) as first-line (1 L) treatment versus current treatment among patients with rheumatoid arthritis (RA) in the Kingdom of Saudi Arabia (KSA), who had an inadequate response to prior conventional-synthetic (csDMARDs) and/or biologic-DMARDs (bDMARDs). METHODS: This Excel-based model included patients with moderate (Disease Activity Score [DAS28]: >3.2 to ≤5.1) or severe RA (DAS28 > 5.1). Cost-effectiveness of current treatment (1 L: adalimumab-originator/biosimilar; second-line (2 L): other bDMARDs/tofacitinib) was compared against a new treatment involving two scenarios (1 L: upadacitinib, 2 L: adalimumab-biosimilar [scenario-1]/adalimumab-originator [scenario-2]) for a 10-year time-horizon from societal perspective. Model outcomes included direct and indirect costs, quality-adjusted life-years (QALYs), hospitalization days, number of orthopedic surgeries, and incremental cost-utility ratio (ICUR) per QALY. RESULTS: With the current pathway, estimated total societal costs for 100 RA patients over 10-year period were Saudi Riyal (SAR) 50,450,354 (United States dollars [USD] 13,453,428) (moderate RA) and SAR50,013,945 (USD13,337,052) (severe RA). New pathway (scenario-1) showed that in patients with moderate-to-severe RA, upadacitinib led to higher QALY gain (+8.99 and +15.63) at lower societal cost (cost difference: -SAR2,023,522 [-USD539,606] and -SAR3,373,029 [-USD899,474], respectively). Thus, as 1 L, upadacitinib projects "dominant" ICUR per QALY over current pathway. Moreover, in alternate pathway (scenario-2), upadacitinib also projects "dominant" ICUR per QALY for patient with severe RA (QALY gain: +15.63; cost difference: -SAR 164,536 [-USD43,876]). However, moderate RA was associated with additional cost of SAR1,255,696 (USD334,852) for improved QALY (+8.99) over current pathway (ICUR per QALY: SAR139,742 [USD37,264]). Both scenarios resulted in reduced hospitalization days (scenario-1: -14.83 days; scenario-2: -11.41 days) and number of orthopedic surgeries (scenario-1: -8.36; scenario-2: -6.54) for moderate-to-severe RA over the current treatment pathway. CONCLUSION: Upadacitinib as 1 L treatment in moderate-to-severe RA can considerably reduce healthcare resource burden in KSA, majorly due to reduced drug administration/monitoring/hospitalization/surgical and indirect costs.

The American Thyroid Association risk stratification and long-term outcomes of differentiated thyroid cancer: a 20-year follow-up of patients in Saudi Arabia.

Background: Studies have reported differing factors associated with poor outcomes in patients with differentiated thyroid cancer (DTC). We aimed to describe our 20 years of experience in the management of thyroid cancer (TC) and identify predictors of treatment outcomes. Methods: We conducted a retrospective review of medical records of patients with TC seen in the Thyroid Center at King Saud University Medical City (KSUMC) in Riyadh, Saudi Arabia, between the years 2000 and 2020. Demographic and clinical data including pathological characteristics were collected. The American Thyroid Association (ATA) risk stratification was determined for all patients at the postoperative period as well as the response to therapy at the final follow-up visit. Results: A total of 674 patients (mean age: 47.21 years) with TC, 571 (84.7%) of which were women, were included. There were 404 (60.0%) patients with ATA low risk, 127 (18.8%) with intermediate risk, and 143 (21.2%) with high-risk histology. Overall, 461 patients (68.4%) had an excellent response to treatment, 65 (9.6%) had an indeterminate response, 83 (12.3%) had a biochemical incomplete response, and 65 (9.6%) had a structural incomplete response. Patients who had an excellent response were mostly ATA low risk (n = 318 of 431, 68.1%), whereas 40 of 65 patients (61.5%) of those with ATA high-risk histology had a structural incomplete response to treatment. There were significantly more women who had an excellent response compared with men. Obesity, lymphovascular invasion, and size of the tumor were significant predictors of worse outcomes to therapy. Conclusion: Tumor size, lymphovascular invasion, and obesity are strong predictors of a worse response to therapy among patients with TC. Patients with obesity should be carefully followed up regardless of their risk stratification in light of the recent compelling evidence associating obesity with thyroid cancer and its higher risk of a worse disease outcome. ATA risk stratification is well correlated with patient long-term outcomes.

Detection of early prognostic biomarkers for metastasis of Ewing's sarcoma in pediatric patients.

AIMS: Ewing's Sarcoma is an extremely aggressive tumor in children. The disease is associated with highly metastatic rate, especially at the time of diagnosis, contributing to a lower survival rate and poor prognosis. The study aimed to identify predictive biomarkers for metastatic Ewing's sarcoma through in-depth analysis of the plasma proteome profile of pediatric Ewing's sarcoma patients. MAIN METHODS: Plasma samples from Ewing's sarcoma patients and control individuals were profiled using both shotgun and dimethyl-labeled proteomics analysis. Subsequently, Ewing's sarcoma patients were further stratified according to their metastatic state and chemotherapy response. Western blot was used for validation. Univariate and multivariate analyses were performed to determine proteome metastasis predictors. Receiver operating characteristic (ROC) analysis was done to assess the diagnostic significance of the potential plasma Ewing's sarcoma biomarkers. KEY FINDINGS: Our results revealed a set of proteins significantly associated with the metastatic Ewing's sarcoma disease profile. These proteins include ceruloplasmin and several immunoglobulins. Additionally, our study disclosed significant differentially expressed proteins in pediatric Ewing's sarcoma, including CD5 antigen-like, clusterin, and dermcidin. Stable isotope dimethyl labeling and western blot further confirmed our results, strengthening the impact of such proteins in disease development. Furthermore, an unbiased ROC curve evaluated and confirmed the predictive power of these biomarker candidates. SIGNIFICANCE: This study presented potential empirical predictive circulating biomarkers for determining the disease status of pediatric Ewing's sarcoma, which is vital for early prediction.

parazitCUB: An R package to streamline the process of investigating the adaptations of parasites' codon usage bias.

Examining the intricate association between parasites and their hosts, particularly at the codon level, assumes paramount importance in comprehending evolutionary processes and forecasting the characteristics of novel parasites. While diverse metrics and statistical analyses are available to explore codon usage bias (CUB), there presently exists no dedicated tool for examining the co-adaptation of codon usage between parasites and hosts. Therefore, we introduce the parazitCUB R package to address this challenge in a scalable and efficient manner, as it is capable of handling extensive datasets and simultaneously analyzing of multiple parasites with optimized performance. parazitCUB enables the elucidation of parasite-host interactions and the evolutionary patterns of parasites through the implementation of various indices, cluster analysis, multivariate analysis, and data visualization techniques. The tool can be accessed at the following location: https://github.com/AliYoussef96/parazitCUB.

Comparative Shotgun Proteomics Reveals the Characteristic Protein Signature of Osteosarcoma Subtypes.

Osteosarcoma is a primary malignant bone tumor affecting adolescents and young adults. This study aimed to identify proteomic signatures that distinguish between different osteosarcoma subtypes, providing insights into their molecular heterogeneity and potential implications for personalized treatment approaches. Using advanced proteomic techniques, we analyzed FFPE tumor samples from a cohort of pediatric osteosarcoma patients representing four various subtypes. Differential expression analysis revealed a significant proteomic signature that discriminated between these subtypes, highlighting distinct molecular profiles associated with different tumor characteristics. In contrast, clinical determinants did not correlate with the proteome signature of pediatric osteosarcoma. The identified proteomics signature encompassed a diverse array of proteins involved in focal adhesion, ECM-receptor interaction, PI3K-Akt signaling pathways, and proteoglycans in cancer, among the top enriched pathways. These findings underscore the importance of considering the molecular heterogeneity of osteosarcoma during diagnosis or even when developing personalized treatment strategies. By identifying subtype-specific proteomics signatures, clinicians may be able to tailor therapy regimens to individual patients, optimizing treatment efficacy and minimizing adverse effects.

Correlation between physician- and patient-directed disease assessments in ulcerative colitis patients from Saudi Arabia and Kuwait: Data from ICONIC.

Background: The aim of the observational, prospective study was to validate a novel, nonverbal assessment tool for perceived disease burden-Pictorial Representation of Illness and Self-Measure (PRISM)-in ulcerative colitis (UC) against established patient health questionnaires. The cumulative burden of patients recently diagnosed (<3 years) with UC was also evaluated. Methods: "ICONIC" - Understanding the impact of ulcerative colitis and its associated disease burden on patients - was a noninterventional, multicountry, multicenter study performed in a 2-year follow-up format in adult patients with recently diagnosed UC in 33 countries, regardless of disease severity or treatment. Data collection consisted of five visits, scheduled at approximately 6-month intervals. For the current analysis, patient data from Saudi Arabia and Kuwait were evaluated. The collected data comprised demographics, disease-related data, UC treatment, and healthcare resources, as well as physician- and patient-assessed quality-of-life and disease burden questionnaires. Correlations between selected questionnaire scores were performed using Spearman's rho. Results: Disease severity at baseline and throughout the study was slightly less favorable in this country analysis compared with the global study cohort. Disease burden was assessed by PRISM and improved within 24 months. Conclusions: The detected moderate correlation between PRISM and other assessment methods supports the validity of PRISM. Differences in perceptions of UC-related burden between physician and patient may reflect to some degree insufficient patient-physician communication.

Prognostic Value of Tumor Markers in Gastric Cancer: A Tertiary Cancer Centre Experience.

OBJECTIVES: Gastric cancer is a heterogeneous malignancy in terms of stage-wise prognosis. This study aimed at finding any prognostic significance of preoperative carcinoembryonic antigen (CEA) and cancer antigen (CA) 19-9 in resectable gastric cancer. METHODS: A total of 57 patients at Kidwai Memorial Institute of Oncology, Bengaluru, India from January 2022 to March 2023 were included in this observational prospective study. Included patients had a resectable tumor at clinical staging. Patients were divided into two categories (raised and non-raised) based on serum tumor marker (CEA and CA 19-9) levels. Their relationship with clinicopathological features was studied. The association was studied using chi-square test, and p-value <0.05 was considered significant. RESULTS: The mean age of the study group was 55.47 years with male predominance (63.2%, n=36). Raised CEA and CA 19-9 were seen in 15.8% (n=9) and 10.5% (n=6) patients, respectively, while both markers were raised in 5.3% (n=3). Raised CEA was found significantly associated with grade 3 adenocarcinoma stomach (OR 7.825, 95%CI: 1.374-44.562; p= 0.020) and intraoperative finding of inoperability due to occult intra-abdominal disease (p<0.05). CA 19-9 (pre- and post-operative levels) had no statistically significant association (p>0.05) with the grade of adenocarcinoma. CONCLUSION: This study indicates a benefit in estimating CEA for the prediction of prognosis in gastric cancer. CEA levels have been found to predict chances of finding occult intra-abdominal metastasis in gastric cancer.

gtAI: an improved species-specific tRNA adaptation index using the genetic algorithm.

The tRNA adaptation index (tAI) is a translation efficiency metric that considers weighted values (S ij values) for codon-tRNA wobble interaction efficiencies. The initial implementation of the tAI had significant flaws. For instance, generated S ij weights were optimized based on gene expression in Saccharomyces cerevisiae, which is expected to vary among different species. Consequently, a species-specific approach (stAI) was developed to overcome those limitations. However, the stAI method employed a hill climbing algorithm to optimize the S ij weights, which is not ideal for obtaining the best set of S ij weights because it could struggle to find the global maximum given a complex search space, even after using different starting positions. In addition, it did not perform well in computing the tAI of fungal genomes in comparison with the original implementation. We developed a novel approach named genetic tAI (gtAI) implemented as a Python package (https://github.com/AliYoussef96/gtAI), which employs a genetic algorithm to obtain the best set of S ij weights and follows a new codon usage-based workflow that better computes the tAI of genomes from the three domains of life. The gtAI has significantly improved the correlation with the codon adaptation index (CAI) and the prediction of protein abundance (empirical data) compared to the stAI.

Genome-wide identification of BcGRF genes in flowering Chinese cabbage and preliminary functional analysis of BcGRF8 in nitrogen metabolism.

Growth-regulating factors (GRFs) are a unique family of transcription factors with well-characterized functions in plant growth and development. However, few studies have evaluated their roles in the absorption and assimilation of nitrate. In this study, we characterized the GRF family genes of flowering Chinese cabbage (Brassica campestris), an important vegetable crop in South China. Using bioinformatics methods, we identified BcGRF genes and analyzed their evolutionary relationships, conserved motifs, and sequence characteristics. Through genome-wide analysis, we identified 17 BcGRF genes distributed on seven chromosomes. A phylogenetic analysis revealed that the BcGRF genes could be categorized into five subfamilies. RT-qPCR analysis showed that BcGRF1, 8, 10, and 17 expression clearly increased in response to nitrogen (N) deficiency, particularly at 8 h after treatment. BcGRF8 expression was the most sensitive to N deficiency and was significantly correlated with the expression patterns of most key genes related to N metabolism. Using yeast one-hybrid and dual-luciferase assays, we discovered that BcGRF8 strongly enhances the driving activity of the BcNRT1.1 gene promoter. Next, we investigated the molecular mechanism by which BcGRF8 participates in nitrate assimilation and N signaling pathways by expressing it in Arabidopsis. BcGRF8 was localized in the cell nucleus and BcGRF8 overexpression significantly increased the shoot and root fresh weights, seedling root length, and lateral root number in Arabidopsis. In addition, BcGRF8 overexpression considerably reduced the nitrate contents under both nitrate-poor and -rich conditions in Arabidopsis. Finally, we found that BcGRF8 broadly regulates genes related to N uptake, utilization, and signaling. Our results demonstrate that BcGRF8 substantially accelerates plant growth and nitrate assimilation under both nitrate-poor and -rich conditions by increasing the number of lateral roots and the expression of genes involved in N uptake and assimilation, providing a basis for crop improvement.

BrCYP71A15 Negatively Regulates Hg Stress Tolerance by Modulating Cell Wall Biosynthesis in Yeast.

Over the past two decades, heavy metal pollution has been a common problem worldwide, greatly threatening crop production. As one of the metal pollutants, Mercury (Hg) causes damage to plant cells and reduces cellular and biochemical activities. In this study, we identified a novel cytochrome P450 family gene, BrCYP71A15, which was involved in Hg stress response in yeast. In Chinese cabbage, the BrCYP71A15 gene was located on chromosome A01, which was highly expressed in roots. Additionally, the expression level of BrCYP71A15 was induced by different heavy metal stresses, and the BrCYP71A15 protein exhibited a strong interaction with other proteins. Overexpression of BrCYP71A15 in yeast cells showed no response to a number of heavy metal stresses (Cu, Al, Co, Cd) in yeast but showed high sensitivity to Hg stress; the cells grew slower than those carrying the empty vector (EV). Moreover, upon Hg stress, the growth of the BrCYP71A15-overexpressing cells increased over time, and Hg accumulation in yeast cells was enhanced by two-fold compared with the control. Additionally, BrCYP71A15 was translocated into the nucleus under Hg stress. The expression level of cell wall biosynthesis genes was significantly influenced by Hg stress in the BrCYP71A15-overexpressing cells. These findings suggested that BrCYP71A15 might participate in HG stress tolerance. Our results provide a fundamental basis for further genome editing research and a novel approach to decrease Hg accumulation in vegetable crops and reduce environmental risks to human health through the food chain.

Respect and reflexivity: international education partnerships in primary care.

The UK general practice model has been described as the 'jewel in the crown' of the National Health Service and is widely respected and emulated around the world. In recent years, there has been a particular interest in the UK approach to primary care medical education, including at undergraduate and postgraduate levels, leading to a number of international education partnerships designed to draw on the best of UK experience and expertise in this area. Drawing on the limited academic literature in this area, and the authors' personal experiences of working across many international partnership projects with countries around the world, this article reflects on the central importance of respect and reflexivity when engaging in such work. A respectful approach relies on a genuine and deep curiosity for the local context, and a desire to empower partners to build their own solutions that are contextually authentic. A reflexive approach, meanwhile, relies on those engaging in partnerships to understand themselves as 'invited guests' and to remain mindful of current and historical power differentials and inequities when framing their engagement, looking both inwardly and outwardly as they conduct themselves. As primary care education around the world develops and expands, there may be a greater role for international partnerships and it is critically important that those engaging in such partnerships bring a thoughtful and scholarly lens to this work.

Developing a mortality risk prediction model using data of 3663 hospitalized COVID-19 patients: a retrospective cohort study in an Egyptian University Hospital.

PURPOSE: Since the declaration of COVID-19 as a pandemic, a wide between-country variation was observed regarding in-hospital mortality and its predictors. Given the scarcity of local research and the need to prioritize the provision of care, this study was conducted aiming to measure the incidence of in-hospital COVID-19 mortality and to develop a simple and clinically applicable model for its prediction. METHODS: COVID-19-confirmed patients admitted to the designated isolation areas of Ain-Shams University Hospitals (April 2020-February 2021) were included in this retrospective cohort study (n = 3663). Data were retrieved from patients' records. Kaplan-Meier survival and Cox proportional hazard regression were used. Binary logistic regression was used for creating mortality prediction models. RESULTS: Patients were 53.6% males, 4.6% current smokers, and their median age was 58 (IQR 41-68) years. Admission to intensive care units was 41.1% and mortality was 26.5% (972/3663, 95% CI 25.1-28.0%). Independent mortality predictors-with rapid mortality onset-were age ≥ 75 years, patients' admission in critical condition, and being symptomatic. Current smoking and presence of comorbidities particularly, obesity, malignancy, and chronic haematological disorders predicted mortality too. Some biomarkers were also recognized. Two prediction models exhibited the best performance: a basic model including age, presence/absence of comorbidities, and the severity level of the condition on admission (Area Under Receiver Operating Characteristic Curve (AUC) = 0.832, 95% CI 0.816-0.847) and another model with added International Normalized Ratio (INR) value (AUC = 0.842, 95% CI 0.812-0.873). CONCLUSION: Patients with the identified mortality risk factors are to be prioritized for preventive and rapid treatment measures. With the provided prediction models, clinicians can calculate mortality probability for their patients. Presenting multiple and very generic models can enable clinicians to choose the one containing the parameters available in their specific clinical setting, and also to test the applicability of such models in a non-COVID-19 respiratory infection.