bluuebunny/crossref_metadata_2025_split huggingface dataset:
Abstract 921: The value of cancer genomic data sharing
Authors: Nelson Stefanie , Anan Charlisse Caga , Gillanders Elizabeth 
Published: March 2024

Abstract
Our understanding of and ability to combat cancer relies on the generation, analysis, and sharing of data. The Epidemiology and Genomics Research Program in the National Cancer Institute’s Division of Cancer Control and Population Sciences (DCCPS) has supported generation of large genomic data sets and advocated for and/or required broad sharing of this data. One of DCCPS’s scientific priorities is focused on data strategies namely, “the use, enhancement, expansion, and accessibility of new and existing DCCPS-supported data resources to accelerate cancer control research” (https://cancercontrol.cancer.gov/overview-highlights/2022/future_directions.html).EGRP funded the Genetic Associations and Mechanisms in Oncology (GAME-ON) Initiative, a multidisciplinary collaboration of researchers focused on understanding the genetic architecture, biology, and clinical and epidemiologic utility of common cancer risk variants. This program focused on 5 common cancer types - breast, colorectal, lung, ovarian, and prostate - and required research that incorporated multiple research domains and sharing of any data generated. A major accomplishment of this program was development of the OncoArray genotyping chip, which used information from genetic epidemiology studies, biological/functional analyses, and clinical and epidemiologic insights to create a comprehensive, high-density genotyping array for pan-cancer studies that has led to the discovery of hundreds of new cancer predisposition variants. This chip was used in a massive, coordinated genotyping effort that culminated in the generation of 7 datasets comprising genotyping data for nearly 500,000 individuals. All the data were deposited in dbGaP between 2014 and 2021 and are available (via controlled access) to any investigators. To understand the secondary use of these data, we determined the number of times the data had been downloaded, who downloaded the data, and types of research for which it was used. We also identified publications using OncoArray data and characterized the publications by research type, cancer type, and other details. Through this analysis, we explore how well the GAME-ON initiative and the OncoArray projects promote the DCCPS scientific priority of optimizing secondary research by making the data findable, accessible, interoperable, and reusable (FAIR).
Citation Format: Stefanie Nelson, Charlisse Caga Anan, Elizabeth Gillanders. The value of cancer genomic data sharing [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 921.
Abstract 955: Double-targeting of pancreatic ductal adenocarcinoma (PDAC): Unveiling the potent combination of NMS-873 and BAY-876
Authors: Eppinger Emily Rita , Schneeweis Christian , Saur Dieter 
Published: March 2024

Abstract
Pancreatic ductal adenocarcinoma (PDAC) stands out as one of the most aggressive and challenging-to-treat cancers known. Consequently, the development of effective therapeutic strategies holds significant importance in enhancing patient outcomes. In contrast to single-drug treatments, combination therapies offer the potential for improved results by addressing multiple pathways. This approach not only reduces the likelihood of drug resistance but also encourages synergistic effects, all while permitting the use of lower individual drug doses, thus minimizing potential side effects. In this study, we subjected a panel of PDAC cell lines with varying degrees of sensitivity to a high-throughput combinatorial drug screen. Mitochondrial complex 1/p97 inhibitor NMS-873 was tested in combination with 95 other compounds, revealing remarkable synergy when paired with Glut1 inhibitor BAY-876. In order to affirm the validity of these findings, we conducted further experiments involving multi-dose drug combinations within long-term clonogenic assays. These supplementary investigations also demonstrated significant synergistic effects between BAY-876 and NMS-873, as quantified through the calculation of Bliss and Zip scores. Notably, this combination exhibited superior efficacy when confronting PDAC cell lines that are more resistant to NMS-873, highlighting the potential of this combination to overcome therapy resistance. To gain insights into the underlying mechanisms behind these outcomes, we performed a gene enrichment analysis which revealed that the more sensitive cell lines exhibited elevated rates of cell division, while the more resistant ones demonstrated heightened cRNA processing and increased metabolic activity, particularly in protein, phospholipid, and lipid synthesis. The combination of BAY-876 and NMS-873 presents a promising avenue for the targeted treatment of PDAC. This study underscores the remarkable synergy observed in mouse PDAC cell lines with a particular emphasis on the heightened efficacy against cell populations that are more resistant to NMS-873. These results warrant further investigation to elucidate the underlying molecular mechanisms and validate these findings in clinical settings.
Citation Format: Emily Rita Eppinger, Christian Schneeweis, Dieter Saur. Double-targeting of pancreatic ductal adenocarcinoma (PDAC): Unveiling the potent combination of NMS-873 and BAY-876 [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 955.
People's Intentions to Use Metaverse Technology: Investigating the Role of Gratifications and Perceptions
Authors: Zarouali Brahim 
Published: March 2024

Abstract
The aim of the Metaverse is to become a major achievement in the realm of cyberspace, envisioning a significant advancement toward a more immersive and interactive internet experience. Given the potential impact of this new development, a thorough understanding of people's intentions to use this technology is warranted. Drawing on the theoretical tenets of Uses and Gratification theory and I-P-R framework, a research model was developed that incorporates three types of gratification (hedonic, utilitarian, and social) and three psychological perceptions (immersion, telepresence, and realism) that are related to people's behavioral intentions. Structural equation modeling was used as an analytical strategy based on a representative sample of 617 respondents. Results showed that all three gratifications and perceptions were positively associated with people's intentions to use Metaverse technology. In conclusion, this model offers a relevant starting point toward establishing a timely research line on users' perceptions and engagements with Metaverse technology.
The Quantitative Role of Moisture and Vertical Motion in Shaping Summer Heavy Rainfall over North China under Two Distinct Large-Scale Weather Patterns
Authors: Li Jiao , Zhao Yang , Chen Deliang , Zhao Ping , Zhang Chi , Wang Yinjun 
Published: March 2024

Abstract
Two distinct categories of weather patterns, denoted as Type 1 and Type 2, which show higher-than-expected frequency of summer heavy rainfall days (HRDs) over North China (NC), are selected from nine weather patterns categorized by the self-organizing map algorithm during 1979–2019. The respective HRDs over NC exhibit dissimilar characteristics, with Type 1 showing a northern distribution and Type 2 a southern distribution. The quantitative disparities in terms of moisture content and vertical motion are discussed in reactions to the synoptic-scale patterns associated with HRDs. The outcomes of a 20-day backward tracking, using the so-called Water Accounting Model-2layers, reveal noteworthy contrasts in moisture sources. Type 1 predominantly receives moisture from the western North Pacific, while Type 2 relies more on contributions from the Arabian Sea, Bay of Bengal, and Eurasia. However, the major moisture sources with grid cells contributing more than 0.01 mm show a consistent cumulative contribution of 77% for Type 1 and 80% for Type 2. The finding suggests that the discrepancy between the two types cannot be solely attributed to moisture supply. Further examination of the transverse and shearwise Q-vector components provides insights into how these distinct weather patterns influence HRDs by the alteration of vertical motion. In Type 1, an upper-level jet entrance induces a thermally direct secondary circulation that enhances vertical motion, while a baroclinic trough plays a dominant role in generating vertical motion in Type 2. Moreover, these unique configurations for each type of weather pattern are not only pre-existing but also intensified during HRDs.
Application of the Geriatric Trauma Outcome Score in a Rural Setting
Authors: Archer Allen D. , Hahamyan Henrik A. , White-Archer Melissa L. , Mannino Elizabeth A. , Roche Keelin F. , Burns J. Bracken 
Published: March 2024

Objective To retrospectively apply the Geriatric Trauma Outcome (GTO) score to the patient population of a rural South Central Appalachian level 1 trauma center and identify the potential utility of the GTO score in guiding goals of care discussions. Methods Trauma registry data was extracted for 5,627 patients aged 65+ from 2017 to 2021. GTO score was calculated for each patient. Descriptive statistics were calculated for age, Injury Severity Score (ISS), GTO score, receipt of red blood cells, discharge status, and code status. A simple logistic regression model was used to determine the relationship between GTO score and discharge status. The probability of mortality was then calculated using GTO score, and the distribution of code status among patients with ≤50, 51-75%, and >75% probability of mortality was examined. Results For every 10-point increase in GTO score, odds of mortality increased by 79% (OR = 1.79; P < .001). Patients had an estimated 50% probability of mortality with a GTO score of 156, 75% with 174, and 99% with a score of 234, respectively. Seventeen patients had a GTO score associated with >75% probability of mortality. Of those 17 patients, four retained a full code status. Conclusions Our analysis demonstrates that the GTO score is a validated measure in a rural setting and can be an easily calculated metric to help determine a geriatric patient’s probability of mortality following a trauma. The results of our study also found that GTO score can be used to inform goals of care discussions with patients.
Assessing Futile Trauma Transfers in Rural Appalachia Following a Regional Health Care System Consolidation
Authors: Everly Michelle A. , Archer Allen , Heard Matt , Roche Keelin , Burns J. Bracken 
Published: March 2024

This study sought to define and analyze rates of futile trauma transfers (FTTs) after the consolidation of two rural level 1 trauma centers into one. Data was extracted from the regional trauma registry for a period of 5 years (2017-2022) for all trauma patients transferred into our level 1 trauma center (n = 3369). An FTT was defined as a transfer that (1) received no major interventions and (2) died or was discharged to a hospice facility within 72 hours. Out of the 3369 transfer patients analyzed during the 33-month pre-consolidation and 33-month post-consolidation periods, 34 patients met the criteria of an FTT within the transfer-to-discharge window. The pre-consolidation category contained 12, and the post-consolidation category contained 22. Chi-square analysis indicated no significant difference in FTT rate between categories. Furthermore, the post-consolidation FTT rate of 1.1% remained consistent with the estimated national average of 1.5%.
Systemic inflammation response index as a prognostic factor for patients with sepsis-associated acute kidney injury: a retrospective observational study
Authors: Tang Jia , Zhong Zhenguang , Nijiati Muyesai , Wu Changdong 
Published: March 2024

Objective To assess the association between the systemic inflammation response index (SIRI) and the prognosis in patients with sepsis-associated acute kidney injury (SA-AKI). Methods In this observational study, adult patients with SA-AKI were categorized into three groups based on SIRI tertiles. Survival outcomes were compared across the three groups using Kaplan–Meier survival curves. Various Cox proportional hazards regression models were developed to determine the association between the SIRI and mortality in patients with SA-AKI. Subgroup analyses were also performed to explore the association between different SIRI tertiles and all-cause mortality. Results After adjusting for several confounders, the second SIRI tertile (2.5 < SIRI < 7.6) was found to be an independent risk factor for 30-day mortality [hazard ratio (95% confidence interval): 1.19 (1.01–1.40)], 90-day mortality [1.22 (1.06–1.41)], and 365-day mortality [1.24 (1.09–1.40)]. Furthermore, high SIRI values were associated with increased risks of 30-day, 90-day, and 365-day mortality in patients with SA-AKI across all three models. The third tertile showed a significant association with adverse outcomes in most subgroups. Conclusions The SIRI serves as a comprehensive biomarker for predicting all-cause mortality of critically ill patients with SA-AKI.
Manganese dioxide nanoparticles provoke inflammatory damage in BV2 microglial cells via increasing reactive oxygen species to activate the p38 MAPK pathway
Authors: Sun Xingchang , Qin Xin , Liang Gaofeng , Chang Xuhong , Zhu Huike , Zhang Jiahao , Zhang Dan , Sun Yingbiao , Feng Sanwei 
Published: March 2024

With the widespread use of manganese dioxide nanoparticles (nano MnO2), health hazards have also emerged. The inflammatory damage of brain tissues could result from nano MnO2, in which the underlying mechanism is still unclear. During this study, we aimed to investigate the role of ROS-mediated p38 MAPK pathway in nano MnO2-induced inflammatory response in BV2 microglial cells. The inflammatory injury model was established by treating BV2 cells with 2.5, 5.0, and 10.0 μg/mL nano MnO2 suspensions for 12 h. Then, the reactive oxygen species (ROS) scavenger (20 nM N-acetylcysteine, NAC) and the p38 MAPK pathway inhibitor (10 μM SB203580) were used to clarify the role of ROS and the p38 MAPK pathway in nano MnO2-induced inflammatory lesions in BV2 cells. The results indicated that nano MnO2 enhanced the expression of pro-inflammatory cytokines IL-1β and TNF-α, elevated intracellular ROS levels and activated the p38 MAPK pathway in BV2 cells. Controlling intracellular ROS levels with NAC inhibited p38 MAPK pathway activation and attenuated the inflammatory response induced by nano MnO2. Furthermore, inhibition of the p38 MAPK pathway with SB203580 led to a decrease in the production of inflammatory factors (IL-1β and TNF-α) in BV2 cells. In summary, nano MnO2 can induce inflammatory damage by increasing intracellular ROS levels and further activating the p38 MAPK pathway in BV2 microglial cells.
Forecasting ESG Stock Indices Using  a Machine Learning Approach
Authors: Suprihadi Eddy , Danila Nevi 
Published: March 2024

As the demand for investment products tied to environmental, social and governance (ESG) concerns rises, ESG stock indices have been established. These indices aim to aid investors in navigating and assessing the risks associated with firms based on ESG factors and potential investment returns. The objective of the article is to predict ESG stock indices using a machine learning approach. We use daily data of Dow Jones Sustainability Index (DJSI) World, DJSI Asia Pacific and DJSI Emerging Market from 2018 to 2022 as samples. Two-layer ensemble model – combination of support vector machine (SVM), random forest (RF), long short-term memory (LSTM) and gated recurrent unit (GRU) algorithms – is employed to forecast the indices. The results show that the ensemble model accurately forecasts the indices, with the prediction line closely matching the actual values. It gives the implication that investors are able to improve investment decisions, assist in managing investment risk, and optimize their portfolio diversification. Meanwhile, policymakers are able to anticipate economic trends, inflation and interest rates, assisting in the development of successful economic policies. This research article presents a machine learning approach for predicting ESG stock indices. The proposed model combines SVM, RF, LSTM and GRU algorithms to create a powerful two-layer ensemble model that outperforms individual models. The results show that the ensemble model accurately forecasts ESG stock indices, with the prediction line closely matching the actual values. The model offers insights into the behaviour of different algorithms, highlighting their strengths and limitations. The proposed model can guide decision-making processes, support investment strategies, and ultimately contribute to advancing sustainable investment practices.
Vaccine Hesitancy Against COVID-19 Vaccines in Patients with Autoimmune Rheumatic Diseases and Effect of Specialist Counselling on Vaccine-hesitant Patients
Authors: Chandwar Kunal , Vijayakumaran Abilash Krishnan , Kishor Kriti , Dogga Prasanna , Dixit Juhi , Ekbote Digvijay , Kumar Puneet , Dhakad Urmila 
Published: March 2024

Objectives: To assess causes of vaccine hesitancy to COVID-19 vaccines in patients with autoimmune rheumatic diseases (AIRD). Methods: Study design: We conducted a cross-sectional observational survey-based study of patients attending Rheumatology OPD regarding the reason for vaccine hesitancy, counselled by treating rheumatologists and responses regarding willingness recorded after counselling. Convenience sampling was done by including all adults (>18 years) with AIRD attending rheumatology OPD. Those vaccinated, recently infected (within six weeks), and non-AIRD patients were excluded. The questionnaire included details about patients’ demography, medication and reason for vaccine hesitancy. Statistical analysis was performed using measures of central tendency for quantitative variables and using counts and percentages for qualitative variables. Results: A total of 322 patients participated in the study with a mean age of 40 years (18–76), with 73% (234) females and 27% (88) males. Most patients had RA (40%) followed by SpA (27%), SLE (13%) and were on immunosuppressive medications (95%). A significant proportion of patients (60%) had more than one reason for vaccine hesitancy. Almost 60% of the respondents feared disease flare post-vaccination, while almost half (44.4%) feared vaccine side effects and more than one-third (35%) doubted vaccine efficacy while on immunosuppressive medications. Other causes were the inability to get vaccinated (18%), doubts about vaccine efficacy (15%), and fear of injections (10%). Most patients (91%) expressed vaccine acceptance after specialist counselling. Conclusions: Vaccine hesitancy is multifactorial. Addressing reasons for vaccine hesitancy in patients with AIRD like fear of flare of disease post-vaccination, fear of vaccine side effects and doubts over vaccine efficacy while taking immunosuppressive medications are necessary. Most patients were willing to take vaccine after counselling by a rheumatologist.
Nature and Treatment Received for Psoriasis and Co-morbidities in Patients with Psoriatic Arthritis. A Multi-centre Observational Study from Western India
Authors: Kadam Soham , Jadhav Praveen , Shaikh Asna , Shinde Sushant , Bagul Varsha , Oak Jyotsna , Nolkha Nilesh , Balakrishnan C. , Mehta Priti Nagnur , Kalke Shubhada , Bhojani Kaushik , Samant Rohini 
Published: March 2024

Background: Many recent studies have suggested a changing paradigm of management of psoriatic disease. One of the main concerns is the lost opportunity of controlling ‘psoriatic disease’ during the early phase, especially when the disease is limited to the skin. Objective: The study’s main aim was to determine psoriasis (PsO) treatment before the patient’s presentation to the rheumatologist. We also studied the associated comorbidities in these patients. Methods: This was a cross-sectional study done at eight centres. Data was collected from 375 patients with psoriatic arthritis (PsA) about their demography, details of psoriatic lesions, treatment taken for them, additional co-morbidities and pattern of PsA. Results: Only 22.4% of patients had received oral methotrexate for PsO: the majority for less than a year. Plaque and scalp PsO were the most common, and 75% of patients had body surface area involvement greater than 5%. There was a significantly higher prevalence of type II diabetes mellitus (T2DM) (24% vs. 9.1%) and obesity as compared to the general population. Conclusion: Few patients received sustained systemic treatment for PsO prior to the development of arthritis. There was a significant association of co-morbidities such as T2DM and obesity with PsA.
Clinical and Serological Associations of Subclinical Atherosclerosis in Spondyloarthropathy
Authors: Rai Mohit Kumar , Jain Neeraj , Mohindra Namita , Kumar Sudeep , Agarwal Vikas , Misra Durga Prasanna 
Published: March 2024

Background: Patients with spondyloarthropathy (SpA) have a higher risk of subclinical atherosclerosis (SCA). We assessed clinical and serological determinants of SCA in Indian SpA patients. Methods: Patients with SpA (fulfilling ASAS 2010 criteria; n = 104) attending our hospital were recruited; mean carotid intima-media thickness (CIMT) was performed by carotid ultrasonography, along with clinical assessment and traditional risk factor evaluation. Microparticles were extracted from plasma and total, as well as endothelial microparticles (EMP), platelet microparticles, T lymphocyte microparticles and B lymphocyte microparticles, were analysed by flow cytometry. Serum samples were analysed for inflammatory cytokines previously implicated in atherosclerosis, namely interleukin 1β (IL-1β), IL-6, IL-17, IL-27, IL-33 and tumour necrosis factor-alpha. Thirty-eight healthy controls were used for comparison. Subgroup analyses compared parameters between SpA with SCA (i.e., with carotid plaque or more than 75th percentile of CIMT for that age and sex in the Indian population) versus those without SCA. Ethical approval and written, informed consent were obtained. Results: Despite significantly younger age, lower body mass index and higher total cholesterol in controls compared to SpA, those with SpA had higher CIMT. Traditional cardiovascular risk factors (older age, higher waist-hip ratio) and novel markers of inflammation (serum IL-1β, IL-6) were associated with SCA. While total microparticles, EMP, T lymphocyte and B lymphocyte microparticles were increased in SpA than in healthy controls, they were not associated with SCA. Conclusions: Traditional risk factors and serum inflammatory cytokines IL-1β and IL-6 are associated with higher SCA in Indian SpA patients.