bluuebunny/crossref_metadata_2025_split huggingface dataset:
Urinary metabolomics signature of animal and plant protein intake and its association with 24-h blood pressure: the African-PREDICT study
Authors: Strauss-Kruger Michél , Pieters Marlien , van Zyl Tertia , Kruger Ruan , Jacobs Adriaan , Jansen van Vuren Esmé , Louw Roan , Mels Carina 
Published: July 2024

AbstractThe contrasting relationships of plant and animal protein intake with blood pressure (BP) may be partially attributed to the differential non-protein (e.g., saturated fat and fibre) and amino acid (AA) compositions. This study determined whether animal and plant protein intake were related to differential metabolomic profiles associated with BP. This study included 1008 adults from the African-PREDICT study (aged 20–30 years). Protein intake was determined using 24-h dietary recalls. Twenty-four-hour ambulatory BP was measured. Amino acids and acylcarnitines were analysed in spot urine samples using liquid chromatography-tandem mass spectrometry-based metabolomics. Participants with a low plant, high animal protein intake had higher SBP (by 3 mmHg, p = 0.011) than those with high plant, low animal protein intake (low-risk group). We found that the relationships of plant and animal protein intake with 24-h SBP were partially mediated by BMI and saturated fat intake, which were independently associated with SBP. Protein intake was therefore not related to SBP in multiple regression analysis after adjusting for confounders. In the low-risk group, methionine (Std. β = −0.217; p = 0.034), glutamic acid (Std. β = −0.220; p = 0.031), glycine (Std. β = −0.234; p = 0.025), and proline (Std. β = −0.266; p = 0.010) were inversely related to SBP, and beta-alanine (Std. β = −0.277; p = 0.020) to DBP. Ultimately a diet high in animal and low in plant protein intake may contribute to higher BP by means of increased BMI and saturated fat intake. Conversely, higher levels of urinary AAs observed in adults consuming a plant rich diet may contribute to lower BP.
Association between the C-reactive protein-triglyceride glucose index and erectile dysfunction in US males: results from NHANES 2001–2004
Authors: Mei Yangyang , Li Yangmeina , Zhang Bo , Xu Renfang , Feng Xingliang 
Published: July 2024

AbstractThe C-reactive protein-triglyceride glucose index (CTI) is emerging as a novel indicator for comprehensively assessing the severity of both inflammation and insulin resistance. However, the association between CTI and erectile dysfunction (ED) remains largely unexplored. Participant data for this study were sourced from NHANES 2001–2004, with exclusion criteria applied to those lacking information on clinical variables. The CTI was defined as 0.412*Ln (CRP) + ln [T.G. (mg/dL) × FPG (mg/dL)/2]. Weighted univariable and multivariable logistic regression models were utilized to examine the correlation between the CTI and ED, assessing the CTI as both a continuous and categorical variable (quartile). Moreover, subgroup analyses were conducted to pinpoint sensitive populations, and interaction analysis was performed to validate the findings. A total of 1502 participants were included in the final analysis, encompassing 302 with ED and 1200 without ED. After adjusting for potential confounders, the CTI was positively associated with ED incidence (OR = 1.56, 95% CI: 1.27–1.90, P = 0.002). The fourth quartile of the CTI significantly increased the incidence of ED (OR = 2.69, 95% CI: 1.07–6.74, P = 0.04), and the lowest quartile of CTI was used as the reference. The dose-response curve revealed a positive linear relationship between the CTI and the incidence of ED. Subgroup analysis confirmed the consistent positive relationship between the CTI and ED. The interaction test indicated no significant impact on this association. Finally, a sensitivity analysis was performed to verify the significant positive correlation between the CTI and severe ED (OR = 1.44, 95% CI: 1.19–1.76, P = 0.004). Our national data indicate that a greater CTI is positively linked to an increased risk of ED in US men, suggesting its potential for use in clinical practice for ED prevention or early intervention. Additional large-scale prospective studies are warranted to substantiate the causative relationship between CTI and ED.
Enhancing extracellular vesicle cargo loading and functional delivery by engineering protein-lipid interactions
Authors: Peruzzi Justin A. , Gunnels Taylor F. , Edelstein Hailey I. , Lu Peilong , Baker David , Leonard Joshua N. , Kamat Neha P. 
Published: July 2024

AbstractNaturally generated lipid nanoparticles termed extracellular vesicles (EVs) hold significant promise as engineerable therapeutic delivery vehicles. However, active loading of protein cargo into EVs in a manner that is useful for delivery remains a challenge. Here, we demonstrate that by rationally designing proteins to traffic to the plasma membrane and associate with lipid rafts, we can enhance loading of protein cargo into EVs for a set of structurally diverse transmembrane and peripheral membrane proteins. We then demonstrate the capacity of select lipid tags to mediate increased EV loading and functional delivery of an engineered transcription factor to modulate gene expression in target cells. We envision that this technology could be leveraged to develop new EV-based therapeutics that deliver a wide array of macromolecular cargo.
Shallow-level defect passivation by 6H perovskite polytype for highly efficient and stable perovskite solar cells
Authors: Kim Hobeom , Yoo So-Min , Ding Bin , Kanda Hiroyuki , Shibayama Naoyuki , Syzgantseva Maria A. , Tirani Farzaneh Fadaei , Schouwink Pascal , Yun Hyung Joong , Son Byoungchul , Ding Yong , Kim Beom-Soo , Kim Young Yun , Park Junmo , Syzgantseva Olga A. , Jeon Nam Joong , Dyson Paul J. , Nazeeruddin Mohammad K. 
Published: July 2024

AbstractThe power conversion efficiency of perovskite solar cells continues to increase. However, defects in perovskite materials are detrimental to their carrier dynamics and structural stability, ultimately limiting the photovoltaic characteristics and stability of perovskite solar cells. Herein, we report that 6H polytype perovskite effectively engineers defects at the interface with cubic polytype FAPbI3, which facilitates radiative recombination and improves the stability of the polycrystalline film. We particularly show the detrimental effects of shallow-level defect that originates from the formation of the most dominant iodide vacancy (VI+) in FAPbI3. Furthermore, additional surface passivation on top of the hetero-polytypic perovskite film results in an ultra-long carrier lifetime exceeding 18 μs, affords power conversion efficiencies of 24.13% for perovskite solar cells, 21.92% (certified power conversion efficiency: 21.44%) for a module, and long-term stability. The hetero-polytypic perovskite configuration may be considered as close to the ideal polycrystalline structure in terms of charge carrier dynamics and stability.
Radially distributed charging time constants at an electrode-solution interface
Authors: Niu Ben , Xie Ruo-Chen , Ren Bin , Long Yi-Tao , Wang Wei 
Published: July 2024

AbstractAn electrochemically homogeneous electrode-solution interface should be understood as spatially invariant in both terms of intrinsic reactivity for the electrode side and electrical resistance mainly for the solution side. The latter remains presumably assumed in almost all cases. However, by using optical microscopy to spatially resolve the classic redox electrochemistry occurring at the whole surface of a gold macroelectrode, we discover that the electron transfer occurs always significantly sooner (by milliseconds), rather than faster in essence, at the radial coordinates closer to the electrode periphery than the very center. So is the charging process when there is no electron transfer. Based on optical measurements of the interfacial impedance, this spatially unsynchronized electron transfer is attributed to a radially non-uniform distribution of solution resistance. We accordingly manage to eliminate the heterogeneity by engineering the solution resistance distribution. The revealed spatially-dependent charging time ‘constant’ (to be questioned) would help paint our overall fundamental picture of electrode kinetics.
Designed wrinkles for optical encryption and flexible integrated circuit carrier board
Authors: Zhong Shilong , Zhu Zhaoxiang , Huo Qizheng , Long Yubo , Gong Li , Ma Zetong , Yu Dingshan , Zhang Yi , Liang Weien , Liu Wei , Wang Cheng , Yuan Zhongke , Yang Yuzhao , Lu Shaolin , Chen Yujie , Zheng Zhikun , Chen Xudong 
Published: July 2024

AbstractPatterns on polymers usually have different mechanical properties as those of the substrates, causing deformation or distortion and even detachment of the patterns from the polymer substrates. Herein, we present a wrinkling strategy, which utilizes photolithography to define the area of stress distribution by light-induced physical crosslinking of polymers and controls diffusion of residual solvent to redistribute the stress and then offers the same material for patterns as substrate by thermal polymerization, providing uniform wrinkles without worrying about force relaxation. The strategy allows the recording and hiding of up to eight switchable images in one place that can be read by the naked eye without crosstalk, applying the wrinkled polymer for optical anti-counterfeiting. The wrinkled polyimide film was also utilized to act as a substrate for the creation of fine copper circuit by a full-additive process. It generates flexible integrated circuit (IC) carrier board with copper wire density of 400% higher than that of the state-of-the-art in industry while fulfilling the standards for industrialization.
Evaluation and mitigation of the limitations of large language models in clinical decision-making
Authors: Hager Paul , Jungmann Friederike , Holland Robbie , Bhagat Kunal , Hubrecht Inga , Knauer Manuel , Vielhauer Jakob , Makowski Marcus , Braren Rickmer , Kaissis Georgios , Rueckert Daniel 
Published: July 2024

AbstractClinical decision-making is one of the most impactful parts of a physician’s responsibilities and stands to benefit greatly from artificial intelligence solutions and large language models (LLMs) in particular. However, while LLMs have achieved excellent performance on medical licensing exams, these tests fail to assess many skills necessary for deployment in a realistic clinical decision-making environment, including gathering information, adhering to guidelines, and integrating into clinical workflows. Here we have created a curated dataset based on the Medical Information Mart for Intensive Care database spanning 2,400 real patient cases and four common abdominal pathologies as well as a framework to simulate a realistic clinical setting. We show that current state-of-the-art LLMs do not accurately diagnose patients across all pathologies (performing significantly worse than physicians), follow neither diagnostic nor treatment guidelines, and cannot interpret laboratory results, thus posing a serious risk to the health of patients. Furthermore, we move beyond diagnostic accuracy and demonstrate that they cannot be easily integrated into existing workflows because they often fail to follow instructions and are sensitive to both the quantity and order of information. Overall, our analysis reveals that LLMs are currently not ready for autonomous clinical decision-making while providing a dataset and framework to guide future studies.
Extension of efficacy range for targeted malaria-elimination interventions due to spillover effects
Authors: Benjamin-Chung Jade , Li Haodong , Nguyen Anna , Barratt Heitmann Gabriella , Bennett Adam , Ntuku Henry , Prach Lisa M. , Tambo Munyaradzi , Wu Lindsey , Drakeley Chris , Gosling Roly , Mumbengegwi Davis , Kleinschmidt Immo , Smith Jennifer L. , Hubbard Alan , van der Laan Mark , Hsiang Michelle S. 
Published: July 2024

AbstractMalaria-elimination interventions aim to extinguish hotspots and prevent transmission to nearby areas. Here, we re-analyzed a cluster-randomized trial of reactive, focal interventions (chemoprevention using artemether–lumefantrine and/or indoor residual spraying with pirimiphos-methyl) delivered within 500 m of confirmed malaria index cases in Namibia to measure direct effects (among intervention recipients within 500 m) and spillover effects (among non-intervention recipients within 3 km) on incidence, prevalence and seroprevalence. There was no or weak evidence of direct effects, but the sample size of intervention recipients was small, limiting statistical power. There was the strongest evidence of spillover effects of combined chemoprevention and indoor residual spraying. Among non-recipients within 1 km of index cases, the combined intervention reduced malaria incidence by 43% (95% confidence interval, 20–59%). In analyses among non-recipients within 3 km of interventions, the combined intervention reduced infection prevalence by 79% (6–95%) and seroprevalence, which captures recent infections and has higher statistical power, by 34% (20–45%). Accounting for spillover effects increased the cost-effectiveness of the combined intervention by 42%. Targeting hotspots with combined chemoprevention and vector-control interventions can indirectly benefit non-recipients up to 3 km away.
Systematic comparison of sequencing-based spatial transcriptomic methods
Authors: You Yue , Fu Yuting , Li Lanxiang , Zhang Zhongmin , Jia Shikai , Lu Shihong , Ren Wenle , Liu Yifang , Xu Yang , Liu Xiaojing , Jiang Fuqing , Peng Guangdun , Sampath Kumar Abhishek , Ritchie Matthew E. , Liu Xiaodong , Tian Luyi 
Published: July 2024

AbstractRecent developments of sequencing-based spatial transcriptomics (sST) have catalyzed important advancements by facilitating transcriptome-scale spatial gene expression measurement. Despite this progress, efforts to comprehensively benchmark different platforms are currently lacking. The extant variability across technologies and datasets poses challenges in formulating standardized evaluation metrics. In this study, we established a collection of reference tissues and regions characterized by well-defined histological architectures, and used them to generate data to compare 11 sST methods. We highlighted molecular diffusion as a variable parameter across different methods and tissues, significantly affecting the effective resolutions. Furthermore, we observed that spatial transcriptomic data demonstrate unique attributes beyond merely adding a spatial axis to single-cell data, including an enhanced ability to capture patterned rare cell states along with specific markers, albeit being influenced by multiple factors including sequencing depth and resolution. Our study assists biologists in sST platform selection, and helps foster a consensus on evaluation standards and establish a framework for future benchmarking efforts that can be used as a gold standard for the development and benchmarking of computational tools for spatial transcriptomic analysis.
Genome wide association study of seedling and adult plant leaf rust resistance in two subsets of barley genetic resources
Authors: Amouzoune Mariam , Rehman Sajid , Benkirane Rachid , Udupa Sripada , Mamidi Sujan , Kehel Zakaria , Al-Jaboobi Muamer , Amri Ahmed 
Published: July 2024

AbstractLeaf rust (LR) caused by Puccinia hordei is a serious disease of barley worldwide, causing significant yield losses and reduced grain quality. Discovery and incorporation of new sources of resistance from gene bank accessions into barley breeding programs is essential for the development of leaf rust resistant varieties. To identify Quantitative Trait Loci (QTL) conferring LR resistance in the two barley subsets, the Generation Challenge Program (GCP) reference set of 142 accessions and the leaf rust subset constructed using the Focused Identification of Germplasm Strategy (FIGS) of 76 barley accessions, were genotyped to conduct a genome-wide association study (GWAS). The results revealed a total of 59 QTL in the 218 accessions phenotyped against barley leaf rust at the seedling stage using two P. hordei isolates (ISO-SAT and ISO-MRC), and at the adult plant stage in four environments in Morocco. Out of these 59 QTL, 10 QTL were associated with the seedling resistance (SR) and 49 QTL were associated with the adult plant resistance (APR). Four QTL showed stable effects in at least two environments for APR, whereas two common QTL associated with SR and APR were detected on chromosomes 2H and 7H. Furthermore, 39 QTL identified in this study were potentially novel. Interestingly, the sequences of 27 SNP markers encoded the candidate genes (CGs) with predicted protein functions in plant disease resistance. These results will provide new perspectives on the diversity of leaf rust resistance loci for fine mapping, isolation of resistance genes, and for marker-assisted selection for the LR resistance in barley breeding programs worldwide.
Metabolic remodeling and calcium handling abnormality in induced pluripotent stem cell-derived cardiomyocytes in dilated phase of hypertrophic cardiomyopathy with MYBPC3 frameshift mutation
Authors: Mori Haruka , Xu Dongzhu , Shimoda Yuzuno , Yuan Zixun , Murakata Yoshiko , Xi Binyang , Sato Kimi , Yamamoto Masayoshi , Tajiri Kazuko , Ishizu Tomoko , Ieda Masaki , Murakoshi Nobuyuki 
Published: July 2024

AbstractHypertrophic cardiomyopathy (HCM) is an inherited disorder characterized by left ventricular hypertrophy and diastolic dysfunction, and increases the risk of arrhythmias and heart failure. Some patients with HCM develop a dilated phase of hypertrophic cardiomyopathy (D-HCM) and have poor prognosis; however, its pathogenesis is unclear and few pathological models exist. This study established disease-specific human induced pluripotent stem cells (iPSCs) from a patient with D-HCM harboring a mutation in MYBPC3 (c.1377delC), a common causative gene of HCM, and investigated the associated pathophysiological mechanisms using disease-specific iPSC-derived cardiomyocytes (iPSC-CMs). We confirmed the expression of pluripotent markers and the ability to differentiate into three germ layers in D-HCM patient-derived iPSCs (D-HCM iPSCs). D-HCM iPSC-CMs exhibited disrupted myocardial sarcomere structures and an increased number of damaged mitochondria. Ca2+ imaging showed increased abnormal Ca2+ signaling and prolonged decay time in D-HCM iPSC-CMs. Cell metabolic analysis revealed increased basal respiration, maximal respiration, and spare-respiratory capacity in D-HCM iPSC-CMs. RNA sequencing also showed an increased expression of mitochondrial electron transport system-related genes. D-HCM iPSC-CMs showed abnormal Ca2+ handling and hypermetabolic state, similar to that previously reported for HCM patient-derived iPSC-CMs. Although further studies are required, this is expected to be a useful pathological model for D-HCM.
Unraveling the independent role of METTL3 in m6A modification and tumor progression in esophageal squamous cell carcinoma
Authors: Du Bin , Wang Pu , Wei Lingyu , Qin Kai , Pei Zhen , Zheng Jinping , Wang Jia 
Published: July 2024

AbstractMETTL3 and METTL14 are traditionally posited to assemble the m6A methyltransferase complex in a stoichiometric 1:1 ratio, modulating mRNA fate via m6A modifications. Nevertheless, recent investigations reveal inconsistent expression levels and prognostic significance of METTL3 and METTL14 across various tumor types, challenging their consistent functional engagement in neoplastic contexts. A pan-cancer analysis leveraging The Cancer Genome Atlas (TCGA) data has identified pronounced disparities in the expression patterns, functional roles, and correlations with tumor burden between METTL3 and METTL14, particularly in esophageal squamous cell carcinoma (ESCC). Knockdown experiments of METTL3 in EC109 cells markedly suppress cell proliferation both in vitro and in vivo, whereas METTL14 knockdown shows a comparatively muted effect on proliferation and does not significantly alter METTL3 protein levels. mRNA sequencing indicates that METTL3 singularly governs the expression of 1615 genes, with only 776 genes co-regulated with METTL14. Additionally, immunofluorescence co-localization studies suggest discrepancies in cellular localization between METTL3 and METTL14. High-performance liquid chromatography–mass spectrometry (HPLC–MS) analyses demonstrate that METTL3 uniquely associates with the Nop56p-linked pre-rRNA complex and mRNA splicing machinery, independent of METTL14. Preliminary bioinformatics and multi-omics investigations reveal that METTL3’s autonomous role in modulating tumor cell proliferation and its involvement in mRNA splicing are potentially pivotal molecular mechanisms. Our study lays both experimental and theoretical groundwork for a deeper understanding of the m6A methyltransferase complex and the development of targeted tumor therapies focusing on METTL3.
Assessment of knowledge and awareness of stroke among the Syrian population: unveiling the current landscape in Syria through the first nationally representative study
Authors: Kharaba Zelal , Alfoteih Yassen , Jirjees Feras , Albarbandi Mohammad , Hussain Zainab , Al Obaidi Hala , Mansour Sara , Ahmed Munazza , Eltayib Eyman , Barakat Muna , AlSalamat Husam A. , Alzayer Reem , El Khatib Sami , Al-Mohammad Safwan , Hallit Souheil , Malaeb Diana , Hosseini Hassan 
Published: July 2024

AbstractStroke is a global public health concern, contributing to high rates of morbidity and mortality. In Syria, the current conflict and associated challenges have had a profound impact on healthcare infrastructure, including education and awareness programs related to stroke. An essential aspect of preventing stroke is the awareness of individuals. The study aimed to investigate factors associated with knowledge and awareness of stroke among Syrian people. A cross-sectional national representative study was conducted in Syria. The questionnaire was created on Google form and disseminated as a link through online platform social media like Facebook, WhatsApp, and Twitter. The population of the study was divided using proportionate random sampling into the 14 governorates. A random sample was selected from each area. The STROBE reporting guideline for cross-sectional studies was followed. Logistic regression analysis was performed to identify the factors associated with poor knowledge of stroke. A total of 1013 Syrian adults participated in the study. With more than half of them were females (53.5%) and employed (55.6%). Significant associations were found between ability to identify at least one correct risk factor and employability status (p = 0.029), single group (p = 0.036) and smokers (p < 0.001). In addition, significant associations were found between identifying at least one correct stroke symptom and smokers (p < 0.001) and no-obese people (p = 0.048). Furthermore, younger age group (below 30 years) were significantly able to list at least one correct stroke consequence compared to the older age groups (p = 0.025). Moreover, a significantly higher number of smokers compared to non-smokers correctly identified at least one stroke consequence (p = 0.019). The study revealed that there is a relatively weak understanding of the preventable nature of stroke among Syrian population. The overall awareness is still inadequate and varies depending on lifestyle factors and employment status.