Verification Program Research Articles

성인학습자의 성장 마인드셋, 자기주도 학습능력 및 학습 성과 간의 관계

Objectives The purpose of this study is to empirically analyze the growth mindset related to learning outcomes of adult learners participating in lifelong education programs, the structural relationship between self-directed learning ability, and the partial mediating effect of self-directed learning ability in the relationship between growth mindset and learning outcomes. Methods In order to solve the research purpose and research problem, 308 adult learners who are taking lifelong education program in university located in G city of Gyeongsangbuk-do were selected as research subjects. A sur-vey was conducted by selecting growth mindset as an independent variable, self-directed learning ability as a me-diating variable, and learning outcomes as a dependent variable. The collected data were analyzed using SPSS & AMOS 29.0 program for reliability verification, correlation, multiple regression analysis, confirmatory factor analy-sis, and covariance structure analysis. Results The potential variables of growth mindset, self-directed learning ability, and learning outcome perceived by adult learners showed a significant positive relationship, and the structural relationship between growth mind-set, self-directed learning ability, and learning outcome was also significant. In addition, it was confirmed that self-directed learning ability has a significant effect as a partial mediator in the relationship between growth mind-set and learning outcomes. Conclusions Growth mindset and self-directed learning ability are core competencies that adult learners should cultivate. Therefore, in order for adult learners who have accumulated life experiences for a long period of time and whose learning tendencies are fixed to adapt to the changing times and live a successful second life, it is neces-sary to find ways to strengthen growth mindset and self-directed learning ability.

Graphical Analysis of Multi-environmental Trials for Bread Wheat (Triticum aestivum L.) Grain Yield Based on GGE Bi-Plot Analysis

Bread wheat (Triticum aestivum L.) is a crucial crop in Ethiopia, and breeders test newly developed elite lines for superiority to existing cultivars to boost national productivity. The study was undertaken during the 2021–22 to 2022–23 cropping seasons at seven environments in optimum moisture areas of Ethiopian using 36 diverse and advanced bread wheat genotypes to evaluate the GEI by the graphical method of GGE biplot and to identify the genotypes with high mean yield performance and stability. Field experiments were conducted at the Adet, Asasa, Kulumsa, and Sinana research centers in Ethiopia. The experiments were planted in an alpha lattice design replicated three times in six rows of 2.5m long. Row-to-row distance and distance between blocks were 0.2m and 1.5m, respectively. The analysis of variance revealed that genotype, environment, and their interaction showed a highly significant effect on the yield as reflected in the GGE model and the GGE model indicated the suitability of the genotypes EBW202136 (33), Boru (1), and EBW202172 (12), with high mean yield and stability, whereas the genotypes EBW202185 (16) and Deka (36) produced high mean yield, but unstable. Likewise, the genotypes EBW202164 (27) and EBW202192 (29) produced low mean yield and unstable. The AMMI analysis of variance for grain yield across the environments showed that 17.26% of the total variation was attributed to genotypic effects, 64.03% to environmental effects, and 18.71% to GEI effects. Two mega environments were identified based on GGE biplot analysis and the which-won–model indicated the adaptation of genotypes Boru (1), EBW202159 (4), EBW202172 (12), EBW202171 (19), and EBW202136 (33) to first mega-environment and genotypes EBW202157 (3), EBW202166 (5), EBW202160 (6), EBW202162 (9), EBW202185 (16), Dursa (17) and Deka (36) in the second. These approaches allowed the identification of stable and high-yielding genotypes (EBW202136 (33) and EBW202172 (12)) which can be included in the national verification program, with a plan to release a new variety, and other genotypes with high yield could be utilized in breeding programs to further improve grain yield in bread wheat.

Evidence Review for the American College of Surgeons Quality Verification Part III: Standardization, Protocols, and Achieving Better Outcomes for Patient Care.

After decades of experience supporting surgical quality and safety by the American College of Surgeons, the ACS Quality Verification Program (ACS QVP) was developed to help hospitals improve surgical quality and safety. This review is the final installment of a three-part review aimed to synthesize evidence supporting the main principles of the ACS QVP. Evidence was systematically reviewed for three principles: standardized team-based care across five phases of surgical care, disease-based management, and external regulatory review. MEDLINE was searched for articles published from inception to January 2019 and two reviewers independently screened studies for inclusion in a hierarchical fashion, extracted data, and summarized results in a narrative fashion. A total of 5,237 studies across these three topics were identified. Studies were included if they evaluated the relationship between the standard of interest and patient-level or organization measures within the last twenty years. After applying inclusion criteria, a total of 150 studies in systematic reviews and primary studies were included for assessment. Despite institutional variation in standardized clinical pathways, evidence demonstrated improved outcomes such as reduced length of stay (LOS), costs, and complications. Evidence for multidisciplinary disease-based care protocols was mixed, though trended towards improving patient outcomes such as reduced LOS and readmissions. Similarly, the evidence for accreditation and adherence to external process measures was also mixed, though several studies demonstrated the benefit of accreditation programs on patient outcomes. The identified literature supports the importance of standardized multidisciplinary and disease-based processes and external regulatory systems to improve quality of care.

How Well Are Surgical Quality Improvement Projects Planned? Review of 242 Surgical Improvement Efforts Across Five American College of Surgeons Quality Programs.

Structured preparation is necessary to conduct quality improvement (QI) strategies that are relevant to the problem, feasible, appropriately resourced, and potentially effective. Recent work suggests improvement efforts are sub-optimally conducted. Our goal was to determine how well preparation for surgical QI is undertaken, including detailing the problem, setting project goals, and planning an intervention. This retrospective cross-sectional study included QI efforts submitted in 2019 to the American College of Surgeons (ACS) during review for accreditation across five ACS Quality Programs: Children's Surgery Verification (CSV), the Commission on Cancer (CoC), the Metabolic and Bariatric Surgical Accreditation and Quality Improvement Program (MBSAQIP), the National Accreditation Program for Breast Centers (NAPBC), and the Trauma Verification Program. Projects were scored for alignment with three components of the pre-conduct phase of the ACS Quality Framework: problem detailing, goal specification, and strategic planning. 242 projects satisfied inclusion criteria and were scored. Most projects in the final cohort were from MBSAQIP (36%), CoC (31%), or NAPBC (29%) programs. The average overall pre-conduct score was 52% (Standard Deviation (SD)=17). On average, projects performed best in the 'Goal Specification' component (65% SD=27), followed by 'Problem Detailing' (52% SD=16), and 'Strategic Planning' (44% SD=25). Within these components, identification of possible limitations (5%) and consideration of contextual issues (12%) were among the least frequently reported items. Thorough planning is a critical component of effective QI, and our study reflects significant opportunity for its improvement. The ACS Quality Framework may serve as a guide to improve QI planning, thereby promoting efficiency and effectiveness of these efforts.

Evaluating production optimization strategies for carbon dioxide recovery: insights from a natural carbon dioxide processing plant

This article investigates production optimization strategies for carbon dioxide recovery using a natural Carbon dioxide Processing Plant as a case study. The study assesses various optimization techniques including hydraulic fracturing, matrix acidizing, and drilling new wells based on productivity, optimal producing time, financial analysis, risk assessment, and environmental impact assessment. The analysis employs a least summation score ranking method to estimate the most suitable technique. Findings reveal that drilling a new carbon dioxide producing well emerges as the preferred option due to its favorable scores across all criteria, including high productivity, extended optimal producing time, low risk, minimal environmental impact, and positive incremental net present value, signifying its profitability and project viability. The study recommends a five year model verification, improvement and history matching program should be adopted in order to understand reservoir processes taking and detect operational issues together with identifying opportunities to improve reservoir description and data acquisition program.

2155: Development of an independent calculation program for plan verification in HDR brachytherapy

2155: Development of an independent calculation program for plan verification in HDR brachytherapy

Beyond American College of Surgeons Verification: Quality Metrics Associated with High Performance at Level I and II Trauma Centers.

The American College of Surgeons (ACS) Committee on Trauma has established a framework for trauma center quality improvement. Despite efforts, recent studies show persistent variation in patient outcomes across national trauma centers. We aimed to investigate whether risk-adjusted mortality varies at the hospital level and if high-performing centers demonstrate better adherence to ACS Verification, Review, and Consultation (VRC) program quality measures. We analyzed data from the 2018-2021 ACS TQIP Participant Use Files, focusing on adult admissions at ACS-verified Level I or II trauma centers for blunt, penetrating, or isolated traumatic brain injury. We used mixed-effects models to assess center-specific risk-adjusted mortality and identified high-performing centers (HPTC), defined as those with the lowest decile of overall risk-adjusted mortality. We compared patient and hospital characteristics, outcomes, and adherence to ACS-VRC quality measures between HPTC and non-HPTC. Over the study period, 1,498,602 patients across 442 Level I and II trauma centers met inclusion criteria: 65.3% presenting with blunt injury, 9.3% with penetrating injury, and 25.4% with isolated TBI. Management at HPTC was associated with lower odds of major complications, failure-to-rescue and takeback. Furthermore, HPTC status was associated with increased odds of adherence to several ACS-VRC quality measures, including balanced resuscitation (Odds Ratio [OR] 1.40, 95%Confidence Interval [CI] 1.29-1.51), appropriate pediatric admissions (OR 1.88, 95%CI 1.07-3.68), and substance abuse screening (AOR 1.14, 95%CI 1.12-1.16). Significant variation in risk-adjusted mortality persists across trauma centers. Given the association between adherence to quality measures and high-performance, multidisciplinary efforts to refine and implement guidelines are warranted.

A practical approach to estimate analytical method variability from routine testing

The performance of analytical test methods is critical to ensure decisions that affect efficacy and quality of pharmaceutical products are based on accurate and reliable results. As described in USP <1220> and advocated for in ICH Q14, continued verification of critical method attributes linked to bias and precision is essential to ensure method performance throughout the lifecycle of an analytical test method. As continued verification programs for analytical methods within the pharmaceutical industry mature, additional monitoring tools are required to deliver robust and cost-effective verification programs. Herein, a novel methodology is presented to evaluated analytical method variability directly from results generated during routine method execution. The implementation of the methodology is demonstrated for a small molecule liquid chromatographic assay method utilizing a single-point external reference calibration. Approaches to reduce the required data to be collected and broaden the applicability of the methodology to a wide range of analytical methods is described. Finally, the application of the methodology to method development activities is discussed to aid in the identification of variability sources and effectively select replication strategies, thus allowing a holistic understanding of method variability throughout the entirety of the method lifecycle.

Improving Cleaning Validation Utilizing Adenosine Triphosphate Technology

Background: Thorough cleaning and disinfection of high-touch surface areas in hospital inpatient rooms remain vital parts of effective strategies in reducing hospital-acquired infections (HAIs). Currently, Methodist Specialty &amp; Transplant Hospital (MHST) inconsistently utilizes fluorescent marking for terminal cleaning validation. Without quantitative results, it’s difficult to measure the effectiveness of cleaning. To ensure MHST is maintaining a safe and clean environment for patients &amp; staff, MHST implemented a comprehensive cleaning verification program to include adenosine triphosphate (ATP) technology. We aimed to establish the program with baseline readings, and an overall weekly passing score of 95% for all tested inpatient rooms. Methods: To achieve sustained improvement, we needed to monitor, educate, and have periodic performance feedback to individuals and stakeholders. Key stakeholders (IP, EVS, Operations Leadership, Nursing Leadership representative) were identified, and a weekly meeting was established to discuss the planning and implementation of the ATP program. Some key actions included: standardization of brand of luminometer- device to measure ATP for microbial contamination; establishment of 16 high surface touch points to be tested; partnership with IT to create a database &amp; dashboard for ATP results &amp; data analysis; training of ATP device to all personnel who will be utilizing ATP device; establishment of a threshold for a “pass” clean (relative light unit [RLU] less than or equal to 45). Summary of Results: After baseline testing, the average weekly pass score met goal at 95 percent for all tested rooms. The bedside table located on the 2W floor was the location that failed the most (3 instances). Conclusions: Our program implementation project aimed to improve terminal cleaning validation utilizing ATP technology in inpatient rooms, was successfully implemented. Equipped with quantitative results, the MHST team, was able to verify cleaning quickly and efficiently without any confusion, as it may have been with the previous verification method of fluorescent marking. The partnership between Infection Prevention (IP) &amp; Environmental Services (EVS) was crucial in the implementation of this process improvement- from participating in training together to understanding and sharing ATP pass/fail score data.

High-resolution Serotyping Reveals Salmonella Surveillance Challenges in the Turkey Industry

Despite extensive Salmonella controls used at processing, 5.5% of salmonellosis cases are linked to turkey. This study had two objectives: (i) to summarize USDA-FSIS turkey Salmonella verification program data and (ii) to evaluate Salmonella through turkey production and processing of 22 flocks. In objective 1, USDA-FSIS data show the average Salmonella prevalence in ground turkey from 2016 to 2022 was 15.9%, and that the leading serovar changes frequently. For objective 2, bootsocks (n = 22) were collected on-farm right after load-out. At processing, prescald wingtips (n = 6 composites of 10/flock), prechill wingtips (n = 6 composites of 10/flock), mechanically separated turkey (MST; n = 6 bins/flock), and ground turkey (n = 6 bins/flock) were collected. Salmonella prevalence was determined by a commercial qPCR and culture confirmed. In 33.2% of PCR-positive samples, Salmonella was not confirmed by culture, highlighting a discrepancy between molecular and culture detection. On-farm, 8/22 flocks were Salmonella positive, compared to 21 flocks that were positive at one or more processing locations, including 18 flocks that were positive in at least one final product sample. A logistic regression showed higher Salmonella prevalence in prescald (53.8%) than in prechill (18.2%), MST (27.3%) or ground turkey (26.5%). CRISPR-SeroSeq analysis of 148 culture−positive samples detected 18 Salmonella serovars and showed 35.1% of samples contained multiple serovars. In 16 flocks, one or more serovars detected in final products were absent from any upstream samples. Two−thirds of final product samples containing serovar Typhimurium typed as a live-attenuated Typhimurium vaccine strain. Salmonella on-farm and at prescald did not reflect Salmonella observed in final product. These data underscore the complexity of serovar tracking in turkey production and highlight challenges to identify surveillance samples that accurately represent Salmonella in turkey products.

Preoperative Risk Factors for Discharge to Facility After Surgery in Geriatric Patients.

The Geriatric Surgery Verification Program (GSV) was developed to address perioperative care for patients ≥75 years, with a goal of improving outcomes and functional abilities after surgery. We sought to evaluate preoperative factors that place patients at risk for inability to return home (ie, discharge to a facility). Retrospective review of patients ≥75 years old who underwent inpatient surgery from January 2018 to December 2022 at a referral Veterans Administration Medical Center enrolled in the GSV program. Preoperative factors included fall history, mobility aids, housing status, function, cognition, and nutritional status. Postoperative outcomes were discharge designations as home and home with services compared to a facility (skilled nursing facility and acute rehab). Exclusion criteria included preoperative facility residence, cardiac surgery, hospital transfer, postoperative complications, hospice discharge, or in-hospital mortality. 605 patients met inclusion criteria and 173 (29%) excluded as above. Of the remaining 432 patients, mean age was 79 ± 5 and the majority were male, 426 (99%). The majority of patients were discharged home, 388 (90%), compared to a facility, 44 (10%). Patients with a fall history (OR: 2.95, 95% CI: 1.56, 5.57), utilizing a mobility aid (OR: 6.0, 95% CI: 2.8, 12.83), were partial or totally dependent (OR: 4.83, 95% CI: 2.29, 10.17), or who lived alone (OR: 2.57, 95% CI: 1.08, 6.07) had higher rates of discharge to a facility. Preoperative mobility compromise and functional dependence are associated with higher rates of discharge to a facility. These preoperative factors are possibly modifiable with multidisciplinary care teams to decrease risks of facility placement.

Making a Financial Case for the Geriatric Surgery Verification Program.

Mini abstract The financial benefits of instituting the American College of Surgeons Geriatric Surgery Verification Program far exceed the costs, with the added benefits of enhanced patient satisfaction and improved staff morale.

Emergency Surgical Treatment and Triage: Targeting Optimal Outcomes for Emergency Surgical Patients From Index Encounter Through Definitive Care.

Patients with emergency surgical conditions (ESCs) experience higher complication rates than those without emergency conditions. Our purpose was to improve time-based key performance indicators (KPIs) of care for ESC patients, including diagnostic workup, empiric stabilization, and referral to definitive care. A rapid response program (ESTAT) was developed to screen for and coordinate optimal, timely care for a spectrum of high-risk ESCs, from the patient's index clinical encounter up to definitive care. The Mann-Whitney test assessed whether any differences in KPIs were statistically significant (P < .05) before compared to after the implementation of ESTAT. 98 patients were identified: 44 in ESTAT group (70% age ≥55, 57% male); 54 in control group (57% age ≥55, 44% male). There were significant decreases from time of index clinical encounter to resuscitation (5min. vs 34min., P < .001), to diagnostic imaging (52min. vs 1hr. 19min., P = .004), and to definitive care (2hr. 17min. vs 3hr. 51min., P = .007) in the ESTAT group compared to the control group, respectively. Improving time-based KPIs for delivery of clinical services is a common goal of medical emergency response systems (MERS) in numerous specialties. Implementation of an ESTAT program provides a screening tool for at-risk patients and reduces time to stabilize, diagnose and triage to definitive surgical intervention. These time benefits may ultimately translate to reduced complication rates for ESC patients. ESTAT may also represent a patient onboarding mechanism for surgical specialty verification programs promoted by quality improvement committees of various professional societies.

Physicochemical characteristics of milk sold in family production units in the Atoyac River Basin in Puebla and Tlaxcala, Mexico

Objective: To determine the physicochemical characteristics and possible adulteration of raw milk marketed in dairy family systems located in the Atoyac River Basin in Puebla-Tlaxcala. Design/methodology/approach: The physical characteristics of milk were determined: pH, acidity and freezing point; and chemical characteristics: fat, protein, lactose, minerals, non-fat solids, total solids and water content. This milk is produced and sold by 264 family production units to three cheese companies in the Atoyac River Basin in the states of Puebla and Tlaxcala. The data were analyzed by company and subsequently grouped with the Cluster technique of the SAS software. Results: Significant differences (p&lt;0.05) were found in the physical and chemical characteristics of the milk marketed by the producers with the three processing companies. In general, the milk is acid and adulterated with an average of 11.49% water; this results in a loss of $0.67/liter and in a dilution of its components, particularly protein and lactose, which leaves it outside the parameters established by normativity. The multivariate analysis generated four groups of producers and suggests the possibility that a group of producers adulterates with water, but also adds some kind of compound to increase the fat content to mask the adulteration. Limitations on study/implications: The study of this topic, where the economic interests of the primary actors in the production chain can be affected, is delicate and difficult to carry out; however, it is necessary in order to know the quality of the products that are generated and their implication in the economy and the health of consumers. Findings/conclusions: This study showed that the milk marketed by producers to processing companies does not comply with current regulations due to adulteration with water and the possible addition of compounds that replace fat; therefore, verification programs for compliance of the regulations are required, hoping with this that producers will receive a fair price for their production and will not have the need to adulterate the milk.

Factors affecting feed conversion ratios in US commercial catfish production ponds

AbstractFeed conversion ratio (FCR) is widely used as a measure of feed use efficiency in commercial aquaculture production and research. Surprisingly, little work has focused on the factors that affect FCR in plankton‐based, commercial ponds despite the widespread use of FCR as a production metric. Proposals to use FCR as a numeric standard for environmental regulation (mandatory or voluntary) raise questions as to whether FCR meets the reliability and consistency requirements of a good metric, and whether it would lead to desired behavioral changes. This article summarizes FCR data from university research verification programs conducted on US catfish farms and databases developed from commercial farm records. The relevant research literature is synthesized with respect to factors that affect FCR. US catfish is used as a case study because pond‐level data from verification trials (Extension/research‐led on‐farm trials of best available science) and commercial farm records are available. While specific to US catfish production, the analysis provides insights into factors affecting FCR that likely apply to other pond‐based aquaculture species. Commercial verification of pond data showed (1) significant variation in FCR (coefficients of variation from 1% to 47%) among ponds with similar stocking, feeding, and aeration rates; (2) significant effects of survival on FCR; and (3) no significant effects on FCR of yield, feed type, management, or production system. Improvements in FCR would occur with improved survival that requires improved management of federally protected fish‐eating bird populations and development of additional, effective vaccines for diseases. FCRs were found to not exhibit the degree of reliability and consistency required for use as an effective metric or numeric standard for regulatory purposes. Use of FCR for mandatory or voluntary regulation is unlikely to lead to behavioral changes by farmers.

Does the environment really benefit from the vehicle verification program?... truth or utopia

Regarding the objective raised here in relation to the analysis of the situation of the programs involved with vehicle verification, its implications and especially if there is a benefit to the environment, it is perceived that the situation of environmental pollution is an issue that should involve everyone the actors of society, that is, the population itself must contribute with its obligations and educate from home to guarantee harmony in relation to public policies related to the care of the environment. The role of schools, at their different levels, must also be an essential driving force to contribute to the education received at home and thus reinforce knowledge in future generations, which will bring socio-environmental benefits. What can we say about the role of governments that have an effective participation in the promotion of programs that benefit the environment and consider the research that is developed in educational institutions at the undergraduate and graduate levels to implement it for the benefit of the environment. Since mitigating the effects of pollution and public health must always be a priority.

Comparable analysis of six immunoassays for carcinoembryonic antigen detection

ObjectiveThis study aimed to assess the current status of carcinoembryonic antigen (CEA) detection. We evaluated the correlation, consistency, and comparability of CEA results among six automated immunoassays, and combined with the results of CEA trueness verification of the Beijing Center for Clinical Laboratories (BCCL) for further analysis. MethodsAbbott Architect i2000, Beckman DxI800, Roche Cobas E601, Diasorin Liaison XL, Maccura IS1200, and Autolumo A2000 were used to detect 40 individual serum CEA samples. Taking the optimal analytical quality specifications calculated from data on biological variation as the evaluation criterion. Passing-Bablok regression and Bland-Altman analysis were performed between each assay and all-assays median values to evaluate the correlation and relative difference. The concordance correlation coefficient (CCC) was used for consistency analysis. Additionally, the trueness verification program used samples at three concentration levels to assess the bias, coefficient of variation (CV), and total error (TE) between the average measured values and the target value. ResultsThe Spearman's rank correlation coefficient (rs) was ≥0.996 and the CCC ranged between 0.9448 and 0.9990 for each assay vs. all-assays median. Considering the all-assays median value of each sample as a reference, there were proportional and systematic differences according to the Passing-bablok regression analysis. The relative difference of the four assays (Abbott Architect i2000, Autolumo A2000, Diasorin Liaison XL, and Maccura IS1200) met the optimal analytical quality specifications. On the other hand, Beckman DxI800 (13.2 %) and Roche Cobas E601 (−9.0 %) were only able to fulfill the desirable analytical quality specifications. The average pass rates for bias, CV, and TE of the trueness verification program were 80 %, 98 %, and 96 %, respectively. ConclusionsThe six automated immunoassays vs. all-assays median have a good correlation in CEA detection. However, there is a lack of comparability of CEA results. Further improvements are needed in harmonization among CEA detections.

Assessing performance of Geriatric Surgery Verification Program preoperative communication standards in spine surgery.

To assess performance of the American College of Surgeons Geriatric Surgery Verification (GSV) Program preoperative communication standards in older patients undergoing high risk spine surgery. We performed an external validation of a natural language processing (NLP) method for identifying documentation meeting GSV communication standards. We then applied this method to a retrospective cohort of patients aged 65 and older who underwent spinal fusion procedures between January 2018-December 2020 in a large healthcare system in Massachusetts. Our primary outcome of interest was fulfillment of GSV communication domains: overall health goals, treatment goals, and patient-centered outcomes. Factors associated with the fulfillment of at least one domain were assessed using Poisson regression to adjust for confounding. External validation of the NLP method had a sensitivity of 88.6% and specificity of 99.0%. Our study population included 1294 patients, of whom only 0.8% (n = 10) patients contained documentation of all three GSV domains, and 33.7% (n = 436) had documentation fulfilling at least one GSV domain. The GSV domain with lowest frequency of documentation was overall health goals, with only 35 (2.7%) of patients meeting this requirement. Adjusted analysis suggested that patients with a Charlson comorbidity score of one or more had higher fulfillment of GSV criteria (CCI 1-3: prevalence rate ratio (PRR) 1.8, 95% confidence interval (CI) 1.5-2.1; CCI >3: PRR 1.5, 95% CI 1.2-1.9). A paucity of geriatric patients undergoing spine surgery had preoperative documentation consistent with GSV standards. Given that spine surgery is one of the highest risk surgeries in older adults and GSV standards are relevant to all surgical specialties, wider promulgation of these standards is warranted.

Kaempferol inhibits colorectal cancer metastasis through circ_0000345 mediated JMJD2C/β-catenin signalling pathway

BackgroundRecurrence and metastasis are the main causes of disease deterioration in colorectal cancer (CRC) patients, yet efficient therapeutic strategies are lacking. Natural compounds for efficient antitumour therapeutics are becoming increasingly prominent. Kaempferol, one of the main components of flavonoids in plants, displays a variety of pharmacological activities. Our preliminary experiments suggested that kaempferol could inhibit CRC metastasis and is significantly associated with the β-catenin signalling pathway. Moreover, we also defined the regulatory roles of JMJD2C in β-catenin signalling in our previous work. PurposeThis study aims to reveal the mechanism by which kaempferol inhibits CRC progression and regulates the JMJD2C/β-catenin signalling pathway. MethodsThe migratory capabilities of CRC cells after kaempferol intervention were measured by scratch wound healing and transwell assays. Circ_0000345 knockdown CRC stable cell lines were generated by lentivirus infection. The possible mechanism of kaempferol on circ_0000345 was verified by molecular-protein docking and verification program cellular thermal shift assay (CETSA). A dual luciferase reporter gene assay was carried out for the targeting relationship among circ_0000345, miR-205-5p and JMJD2C. Fluorescence in situ hybridization (FISH) was performed to determine the expression of circ_0000345 in tumour tissues. A pulmonary metastatic model of CRC in vitro was built to assess the antimetastatic effect and mechanism of kaempferol in vivo. ResultsIn vitro, kaempferol inhibits the ability to migrate of CRC cells by reducing the activation of the JMJD2C/β-catenin signalling pathway. MiR-205-5p is a key bridge for kaempferol to inhibit the expression of JMJD2C. The function of miR-205-5p is impeded by circ_0000345, which shows higher expression levels in human metastatic CRC tissues than nonmetastatic CRC tissues, and its formation is regulated by the RNA-binding proteins HNRNPK and HNRNPL. Mechanistically, kaempferol physically interacts with HNRNPK and HNRNPL to suppress JMJD2C by downregulating the expression of circ_0000345. In vivo, kaempferol suppresses CRC lung metastasis. Kaempferol inhibits the activation of JMJD2C/β-catenin signalling through reducing the expression of circ_0000345 in the CRC lung metastasis model. ConclusionCirc_0000345 enhances activation of the JMJD2C/β-catenin signalling pathway through miR-205-5p to promote CRC metastasis. Kaempferol inhibits CRC metastasis through the circ_0000345-mediated JMJD2C/β-catenin signalling pathway, and this effect is influenced as a direct consequence of the binding of kaempferol with HNRNPK and HNRNPL. This provides promising therapeutic and/or adjuvant agents for advanced CRC and sheds light on the multifaceted role of phytomedicine in cancer.

PYTHON PROGRAM FOR STRUCTURE AND MOLECULAR FORMULA OF ORGANIC COMPOUNDS: AN ALTERNATIVE THEORETICAL APPROACH

A chemist always desires the automation of a chemistry laboratory as it reduces their workload by minimizing the time, energy, and effort. Automation when coupled with artificial intelligence is the need in today’s era as it gives more flexibility and power to the chemist. Using computer programs for a large number of such operations would further ease out these tasks as the desired objectives may be achieved with the click of a mouse. In this research article, the Python program has been used to arrive at the empirical and molecular formulas of some compounds. Python code has also been written for some compounds and their 2D and 3D structures drawn henceforth. With the introduction of Python language at the undergraduate level, this paper would allow chemistry students to make use of Python in organic chemistry as well. As a result, the chemistry students will be able to use the Python program for verification and classroom-based structure determination of various organic compounds. The students thus gain access and become equipped with computational skills that will be helpful in the modern world and can utilize the Python code as an alternative theoretical approach for these operations. While Python provides valuable computational tools, integrating thematic chemistry and new methodologies is crucial for advancing structural analysis. This approach enhances the depth and applicability of theoretical models beyond basic calculations. This paper is a perfect amalgamation of computer programming with organic chemistry and is an attempt to equip the chemists to do the above-mentioned operations theoretically from their desks.