bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effect of using sour cherry (Prunus cerasus L.) puree in tarhana formulations on nutritional value and functional properties of tarhana
Authors: Göncü Ali 
Published: April 2024

AbstractThe aim of this study was to investigate the effects of using sour cherry puree in tarhana formulations on the nutritional value and quality criteria of tarhana. In the formulation, 50% and 100% of tomato and pepper purees were replaced by sour cherry puree, and in another formulation, 100% of sour cherry puree was used instead of yogurt. The use of sour cherry puree instead of tomato and pepper puree enriched the tarhana in terms of essential and other amino acids. Tarhana samples were found to be rich in oleic acid (22.02%–39.12%) among monounsaturated fatty acids. The presence of polyunsaturated fatty acids including linoleic (11.09%–33.56%) and linolenic acids (14.04%–28.91%) was determined in the samples. The dominant saturated fatty acid found in the samples was palmitic acid (8.05%–12.89%). There were no significant changes in moisture, aw, ash content, pH, HMF content as well as water and fat absorption capacity values. When sour cherry puree was used instead of yogurt, there was a decrease in protein (10.71%) and fat (0.38%) contents as well as L (43.46) value, while an increase was detected in total phenolic content (2.38 mg GAE/g), antioxidant activity (10.35 μmol TE/100 g) and mineral composition, namely K, Fe, Cu, Mn, and B. Considering sensory analyses, the sample in which tomato and pepper purees were substituted with 50% sour cherry puree received the highest scores in general taste, flavor, and consistency parameters together with the control tarhana (CT0). The 50% substitution of sour cherry puree with tomato and pepper purees enriched the tarhana samples both nutritionally and sensorially.
The effects of pension on depressive symptoms in Chinese older adults: A moderated multiple mediator model
Authors: Fang Boye , Wang Youwei , Sun Qian 
Published: April 2024

AbstractObjectivesThis study investigates the impact of pension on depressive symptoms among Chinese older adults. Additional effort is made to test the mediating effect of multidimensional downward intergenerational support and the moderating effect of age on this relationship.MethodsA total of 1828 Chinese older community‐dwellers who met our inclusion criteria are drawn from the 2018 China Health and Retirement Longitudinal Study. Multivariate regression modeling is applied to analyze the effect of pensions on depressive symptoms of older adults. Additionally, bootstrap method with resampling strategies is used to estimate the mediating effect of three dimensions of downward intergenerational support (instrumental, emotional, and financial support). Further, Johnson‐Neyman technique is employed to analysis and visualize the moderating effect of age.ResultsThe findings reveal a significant inverse relationship between pension levels and depressive symptoms (B = −6.664, SE = 2.826, p < 0.05). The analysis shows that downward intergenerational emotional support (B = −0.195, Boot SE = 0.103, 95% Boot CI [−0.404, −0.003]) serves as a partial mediator in this relationship. Furthermore, the results highlight the moderating role of age in the linkage between pension and depressive symptoms (B = 0.065, SE = 0.039, p < 0.1).DiscussionThis investigation is pioneering in simultaneously assessing the mediating role of multidimensional downward intergenerational support and the moderating effect of age in the context of pension and depressive symptoms. The study underscores the necessity of an interdisciplinary approach in devising comprehensive intervention strategies. These should encompass pension policy consultation, respite services, and other crucial elements aimed at mitigating the severity or reducing the risk of depressive symptoms among the older adults.
Lifestyle for brain health and cognitive functioning in midlife to early late‐life New Zealanders: Utility of the LIBRA index
Authors: Röhr Susanne , Stephens Christine , Alpass Fiona 
Published: April 2024

AbstractObjectivesThere is enormous potential to improve brain health and reduce the risk of cognitive decline and dementia based on modifiable risk factors. The Lifestyle for Brain Health (LIBRA) index was developed to quantify modifiable dementia risk or room for brain health improvement. The objective of the study was to investigate the utility of the LIBRA index in relation to cognitive functioning in a midlife to early late‐life sample of New Zealanders.MethodsA subsample (n = 1001) of the longitudinal New Zealand Health, Work and Retirement (NZHWR) study completed face‐to‐face cognitive assessments using the ‘Kiwi’ Addenbrooke's Cognitive Examination—Revised (ACE‐R) in 2010 and again in 2012, in addition to completing biennial NZHWR surveys on socioeconomic, health and wellbeing aspects. The LIBRA index was calculated incorporating information on 8 out of 12 modifiable health and lifestyle factors for dementia. Unadjusted and adjusted regression models and mixed effects models were used to inspect associations of LIBRA with cognitive functioning, cognitive impairment, and cognitive decline.ResultsThe analytical sample (n = 881 [88.0%], after considering exclusion criteria and missing data) had a mean age of 63.1 (SD = 6.5) years, 53.3% were female, 26.2% were Māori, and 61.7% were highly educated. Higher LIBRA scores (indicating higher modifiable dementia risk) were associated with lower cognitive functioning (B = −0.33, 95% CI = −0.52;−0.15, p < 0.001) and a higher likelihood of cognitive impairment (OR = 1.22, 95% CI = 1.04; 1.42, p = 0.013), but did not predict cognitive decline over 2 years (B = −0.03, 95% CI = −0.22; 0.16, p = 0.766), adjusted for age, age2, gender, education, and ethnicity.ConclusionsThe LIBRA index indicated promising utility for quantifying modifiable dementia risk in midlife and early late‐life New Zealanders. For local use, refinement of the LIBRA index should consider cultural differences in health and lifestyle risk factors, and further investigate its utility with a wider range of modifiable factors over a longer observation period.
Integrating decision modeling and machine learning to inform treatment stratification
Authors: Glynn David , Giardina John , Hatamyar Julia , Pandya Ankur , Soares Marta , Kreif Noemi 
Published: April 2024

AbstractThere is increasing interest in moving away from “one size fits all (OSFA)” approaches toward stratifying treatment decisions. Understanding how expected effectiveness and cost‐effectiveness varies with patient covariates is a key aspect of stratified decision making. Recently proposed machine learning (ML) methods can learn heterogeneity in outcomes without pre‐specifying subgroups or functional forms, enabling the construction of decision rules (‘policies’) that map individual covariates into a treatment decision. However, these methods do not yet integrate ML estimates into a decision modeling framework in order to reflect long‐term policy‐relevant outcomes and synthesize information from multiple sources. In this paper, we propose a method to integrate ML and decision modeling, when individual patient data is available to estimate treatment‐specific survival time. We also propose a novel implementation of policy tree algorithms to define subgroups using decision model output. We demonstrate these methods using the SPRINT (Systolic Blood Pressure Intervention Trial), comparing outcomes for “standard” and “intensive” blood pressure targets. We find that including ML into a decision model can impact the estimate of incremental net health benefit (INHB) for OSFA policies. We also find evidence that stratifying treatment using subgroups defined by a tree‐based algorithm can increase the estimates of the INHB.
The novel circ_0004674/miR‐139‐5p/ZBTB2 regulatory cascade inhibits the development of oral squamous cell carcinoma
Authors: Qi Chuang , Zhang Lu , Wang Wenping 
Published: April 2024

AbstractBackgroundCircular RNAs (circRNAs) are an intriguing family of RNA molecules due to their crucial roles in the pathogenesis of oral squamous cell carcinoma (OSCC). Here, we sought to define the action of human circ_0004674 in OSCC progression.MethodsThe functional role of circ_0004674 was validated by determining its effect on cell growth, apoptosis, and tube formation ability of OSCC cells. For protein quantification, a western blot or immunohistochemistry method was applied. The interaction between miR‐139‐5p and circ_0004674 or zinc finger and BTB domain containing 2 (ZBTB2) was predicted by online algorithms, and their relationships were confirmed by dual‐luciferase reporter and RIP assays. Xenograft models were established to uncover circ_0004674's role in tumor growth.ResultsCirc_0004674 expression was upregulated in OSCC. Functionally, knocking down circ_0004674 led to suppressed OSCC cell progression in vitro and delayed tumor growth in vivo. Mechanistically, circ_0004674 post‐transcriptionally controlled ZBTB2 expression by competitively pairing to miR‐139‐5p. Furthermore, the deficiency of miR‐139‐5p abated circ_0004674 silencing‐mediated OSCC cell progression repression, and augmentation of ZBTB2 reversed the anticancer effect of miR‐139‐5p on OSCC.ConclusionOur findings uncover a novel regulatory cascade, the circ_0004674/miR‐139‐5p/ZBTB2 axis, with the ability to affect OSCC development in vitro and in vivo, providing a potential opportunity for development of OSCC therapy.
Clinical characteristics, laboratory findings, and tolerance acquisition in infants with cow's milk protein allergy in a private center in Lima, Peru for the period 2021–2022
Authors: Calle César Galván , Díaz‐Vásquez Cecilia , Córdova‐Calderón Wilmer , Gómez de la Torre Juan , Matos‐Benavides Edgar , Toribio‐Dionicio Crhistian 
Published: April 2024

AbstractBackgroundCow's milk protein allergy (CMPA) remains relatively understudied in Latin America.MethodsIn this observational study, we enrolled 64 patients with a median age of 3 months, of whom 60% were male. Patients included had a history of IgE‐mediated reactions with IgE sensitization or non‐IgE‐mediated reactions or symptoms following exposure to cow's milk. They underwent skin prick test, ImmunoCAP, fecal calprotectin (FC), and fecal eosinophil‐derived neurotoxin (EDN), in addition to double‐blinded placebo‐controlled oral food challenges (DBPCFC), with clinical evolution and tolerance acquisition observed over 1 year.ResultsMalnutrition was present in 78.1% of patients, and 87.5% had a family history of atopy, with 51.6% receiving exclusive breastfeeding. Gastrointestinal manifestations were prevalent in 90.6% of patients, followed by dermatological manifestations (10.9%), with only 2 experiencing anaphylaxis. IgE‐mediated CMPA was observed in only six patients. In those with non‐IgE‐mediated CMPA, FC had a median of 284 mg/dL (IQR: 138.5–415.5), while EDN had a median of 508.5 mg/dL (IQR: 160.25–868). One year after diagnosis, median FC significantly decreased (p < 0.0001), and malnutrition prevalence reduced to 17.1%. Moreover, 81% of patients acquired tolerance following DBPCFC, with 52% utilizing nutritional replacement formulas at diagnosis. Notably, 94% of those extensively hydrolyzed casein‐based formulas achieved tolerance (p = 0.08).ConclusionOur findings provide a foundational framework for future investigations into CMPA diagnosis, tolerance acquisition, and the utilization of hypoallergenic formulas tailored to the unique characteristics of our region.
Subsequent malignant neoplasms after primary hematological malignancy in adult patients
Authors: Rönkkö Rosa M. , Nevala Aapeli O. , Pitkäniemi Janne M. , Wartiovaara‐Kautto Ulla M. , Malila Nea K. 
Published: April 2024

AbstractPatients with primary hematological malignancy (HM) are at an elevated risk of subsequent malignant neoplasms (SMNs), which is a common concern after treatment of primary cancer. We identified 45,533 patients aged ≥20 years and diagnosed with primary HM in Finland from 1992 to 2019 from the Finnish Cancer Registry and estimated standardized incidence ratios (SIR) and excess absolute risks per 1000 person‐years (EAR) for SMNs. A total of 6076 SMNs were found (4604 solid and 1472 hematological SMNs). The SIRs were higher for hematological SMNs (SIR 4.9, 95% confidence interval [CI] 4.7–5.2) compared to solid SMNs (SIR 1.5, 95% CI 1.4–1.5). The SIRs for hematological SMNs were highest in the young HM patients aged 20–39 years (SIR 9.2, 95% CI 6.8–12.2 in males and SIR 10.5, 95% CI 7.2–14.7 in females) and decreased by age of first primary HM. However, EARs for hematological SMNs were highest in the older patients, aged 60–79 years at their first primary HM (EAR 5.7/1000 and 4.7/1000 in male and female patients, respectively). In conclusion, the incidence of both hematological and solid SMNs were increased in hematological cancer patients. The relative risk (SIR) was highest among younger HM patients with hematological SMNs. The absolute second cancer burden reflected by high EAR arises from solid malignancies in older patients. Our results accentuate the need for vigilance in the surveillance of HM patients.
Advanced Sequencing Techniques to Map RNA Methylation
Authors: Song Ge‐Ge , Fan Xiu , Gao Chun‐Chun , Zhao Yong‐Liang , Yang Yun‐Gui 
Published: April 2024

AbstractRNA methylation is a crucial epigenetic modification widely present in RNA molecules, and has been demonstrated to play significant roles in diverse biological processes. Advances in detection and sequencing technologies have facilitated the identification of RNA modification‐related regulatory proteins and their corresponding biological functions. In this paper, we provide a brief overview of several RNA methylation, including N6‐methyladenosine(m6A), 5‐methylcytidine(m5C), N1‐methyladenosine(m1A), N7‐methylguanosine(m7G) and N6, 2’‐O‐dimethyladenosine(m6Am), about their regulatory proteins, distribution patterns and biological functions, and mainly outline the advantages and limitations of the representative sequencing techniques. Finally, we discuss the technological challenges and future perspectives in RNA transcriptomic field.
A common curriculum in obstetrics and gynecology for medical students globally
Authors: Atiomo William U. , Casper Gabrielle , Symonds Ian , Obermair Helena M. , Gwako George , Vash‐Margita Alla , Sosa Claudio , Kihara Anne , Ezimokhai Mutairu , Fogarty Paul 
Published: April 2024

AbstractObjectiveGlobal variations in women's health outcomes, increased international migration, and an increase in the number of medical schools underpin the need for global standardization in obstetrics and gynecology curricula for medical students. However, there are currently no recommendations regarding the content of a common curriculum. The aim of this project was to agree the objectives for a common curriculum in obstetrics and gynecology for medical students globally.MethodsThe curriculum was developed and agreed by an international taskforce of obstetricians and gynecologists. Published curricula for medical students in a variety of regions globally were reviewed and discussed, and the objectives for a common curriculum in obstetrics and gynecology for medical students were agreed by consensus.ResultsThe content of the proposed curriculum is classified into three domains: clinical skills, professional behaviors, and knowledge. The recommended curriculum covers health conditions that affect women globally in different social and cultural contexts, and addresses important global health issues of relevance to obstetrics and gynecology.ConclusionThe methods and outcomes of a project by an international taskforce of obstetricians and gynecologists to develop a common curriculum in obstetrics and gynecology for medical students globally are presented. More work is required to identify ways in which the curriculum may be adapted to a minimum essential required curriculum in times of man‐made or natural disasters. Achieving these will facilitate the intended long‐term aims of this curriculum, to improve women's health outcomes globally.
The effects of improved subsurface drainage on runoff and nitrogen leaching from a clayey field section
Authors: Jokinen Vilma , Salo Heidi , Mäkelä Minna , Nurminen Jyrki , Äijö Helena , Laine‐Kaulio Hanne , Myllys Merja , Koivusalo Harri 
Published: April 2024

AbstractThe aim of this study was to investigate the effects of improved subsurface drainage installation on nitrogen (N) loss in drain discharge (DD) and topsoil layer runoff (TLR). Data on DD and TLR, as well as on concentrations of total, nitrate and ammonium N in the runoff components, were collected from four sections of an experimental field in southern Finland (June 2007–December 2018). Supplementary drains were installed in one of the field sections in June 2014, and the data from that section were compared with those from three reference sections. Differences between the sections were statistically analysed based on annual and monthly values of runoff components and concentrations, as well as the loads of N fractions. The results revealed that improved drainage increased the N load in the DD, reducing the load in the TLR. Changes in N loads were more clearly driven by changes in the runoff volumes rather than by changes in the N concentrations in the runoff waters. Before the drainage improvement, most of the total N load was nitrate (53%), while the share of rest N (fraction of the total N after the mineral N fractions were subtracted) was 45%. After improved drainage, the percentages of nitrate and rest N were 73 and 26%, respectively. The results demonstrate the importance of agricultural water management as the key driver for controlling nutrient loads.
Voacangine protects hippocampal neuronal cells against oxygen–glucose deprivation/reoxygenation‐caused oxidative stress and ferroptosis by activating the PI3K‐Akt‐FoxO signaling
Authors: Li Ying , Sun Yan , Wang Jianghong , Wang Xiaolong , Yang Wenjie 
Published: April 2024

AbstractVoacangine, a naturally occurring alkaloid, has been testified to display beneficial effects on a variety of human diseases, but its role in ischemic stroke is unclear. The impacts of voacangine on oxygen–glucose deprivation/reoxygenation (OGD/R)‐tempted hippocampal neuronal cells are investigated. The bioinformatics analysis found that voacangine is a bioactive ingredient that may have good effects on ischemic stroke. KEGG pathways analysis found that voacangine may regulate ischemic stroke through modulating the PI3K‐Akt‐FoxO signaling pathway. Voacangine could mitigate OGD/R‐tempted cytotoxicity in HT22 cells. Voacangine mitigated OGD/R‐tempted oxidative stress in HT22 cells by diminishing reactive oxygen species level and enhancing superoxide dismutase level. Voacangine mitigated OGD/R‐tempted ferroptosis in HT22 cells. Voacangine promoted activation of the PI3K‐Akt‐FoxO signaling in OGD/R‐induced HT22 cells. Inactivation of the PI3K‐Akt‐FoxO signaling pathway reversed the protective effects of voacangine against OGD/R‐tempted oxidative stress, cytotoxicity, and ferroptosis in HT22 cells. In conclusion, voacangine protects hippocampal neuronal cells against OGD/R‐caused oxidative stress and ferroptosis by activating the PI3K‐Akt‐FoxO signaling.
Teaching and learning in biophotonics: Crossing the bridge between educators and students
Authors: Nogueira Marcelo S. , Gunther Jacqueline E. , Komolibus Katarzyna , Ryan Sinéad M. , Murray Brian S. , Jezzini Moises A. , Kennedy Declan , Andersson‐Engels Stefan 
Published: April 2024

AbstractAs a rapidly growing field, biophotonics demonstrates an increasingly higher demand for interdisciplinary professionals and requires the implementation of a structured approach to educational and outreach activities focused on appropriate curriculum, and teaching and learning for audiences with diverse technical backgrounds and learning styles. Our study shows the main findings upon applying this approach to biophotonics workshops delivered 2 consecutive years while updating and improving learning outcomes, teaching strategies, workshop content based on student and teacher feedback. We provided resources for a variety of lecture‐based, experimental, computer simulation activities. Quality of subject matter, teaching, and overall learning was rated as “Very good” or “Good” by 88%, 76%, and 82% of students in average, respectively. Application of our teaching strategies and materials during short‐ and long‐term workshops/courses could potentially increase the interest in pursuing careers in the biophotonics field and related areas, leading to standardized approaches in designing education and outreach events across centers.
Inhibitory effects of medium‐chain fatty acids on the proliferation of human breast cancer cells via suppression of Akt/mTOR pathway and modulating the Bcl‐2 family protein
Authors: Roopashree P. G. , Shetty Shilpa S. , Shetty Vijith Vittal , Suhasini P. C. , Suchetha Kumari N. 
Published: April 2024

AbstractMedium‐chain fatty acids (MCFAs) have 6–12 carbon atoms and are instantly absorbed into the bloodstream before traveling to the portal vein and the liver, where they are immediately used for energy and may have antitumor effects. Its role in breast cancer is poorly understood. To investigate the apoptosis‐inducing effect of MCFAs in breast cancer cells, cell viability assay, colony formation assay, cell migration assay, cell invasion assay, nuclear morphology, cell cycle assay, intracellular reactive oxygen species (ROS), matrix metalloproteinase (MMP), apoptosis, RT‐qPCR analysis, and Western blot analysis were performed. In the present study, MCFA treatments reduced proliferative capability, increased ROS level, increased the depletion of MMP, induced G0/G1 and S phase cell cycle arrest, and late apoptosis of breast cancer cells in an effective concentration. Besides, MCFA treatment contributed to the upregulation of proapoptotic protein (BAK) and caspase‐3, and the downregulation of antiapoptotic protein (Bcl‐2). Mechanistically, phosphorylation levels of EGFR, Akt, and mTOR were significantly reduced in breast cancer cells treated with MCFAs. However, no significant changes in apoptosis and signaling‐related proteins were observed in lauric acid‐treated ER‐positive cancer cells. Our findings suggested that MCFAs suppressed breast cancer cell proliferation by modulating the PI3K/Akt/mTOR signaling pathway. MCFAs may be a promising therapeutic drug for treating breast cancer.
Machine learning for accuracy in density functional approximations
Authors: Voss Johannes 
Published: April 2024

AbstractMachine learning techniques have found their way into computational chemistry as indispensable tools to accelerate atomistic simulations and materials design. In addition, machine learning approaches hold the potential to boost the predictive power of computationally efficient electronic structure methods, such as density functional theory, to chemical accuracy and to correct for fundamental errors in density functional approaches. Here, recent progress in applying machine learning to improve the accuracy of density functional and related approximations is reviewed. Promises and challenges in devising machine learning models transferable between different chemistries and materials classes are discussed with the help of examples applying promising models to systems far outside their training sets.