Negative / Null Result ReportOpen accessMedicine
Gregor Bieri, Karishma J.B. Pratt, Yasuhiro Fuseya et al. · 2026 · Cell
Blood factors transfer the benefits of exercise to the aged brain independent of physical activity. Here, we show that the liver-derived exercise factor (exerkine) glycosylphosphatidylinositol (GPI)-specific phospholipase D1 (GPLD1), a GPI-degrading enzyme, reverses aging- and Alzheimer's-related memory loss by targeting the brain vasculature. GPLD1 has the potential to cleave over 100 putative GPI-anchored proteins, necessitating the identification of downstream targets that mediate cognitive rejuvenation for translational application. We identified GPI-anchored tissue-nonspecific alkaline ph
View details →DOI: 10.1016/j.cell.2026.01.024Cited by 17 Negative / Null Result ReportOpen accessMedicine
Yi Cao, Qing‐wei Guo, Ye‐da Wan · 2020 · Orthopaedic Surgery
Objective The T2 value of lumbar cartilage endplates was measured using the T2 mapping imaging technique, aiming to explore the correlation between the T2 value and Pfirrmann grading of intervertebral discs. Methods A total of 130 patients with lumbar spine MR examination due to persistent low back pain were enrolled, including 71 men and 59 women (age: 21–63 years). Lumbar Modic changes and Schmorl nodules were recognized by conventional T1WI and T2WI images in 49 patients, and these patients were excluded from the study. A total of 81 patients were enrolled in this study, including 45 men (4
View details →DOI: 10.1111/os.12727Cited by 16 Negative / Null Result ReportOpen accessMedicine
Colleen Lacey, Lisa Ohlhauser, Jodie R. Gawryluk · 2019 · Frontiers in Neurology
Background Clarifying the neuropathology of depression as a symptom of Parkinson's disease (PD) has been the goal of recent neuroimaging studies; however, results have been conflicting and lack replication. The purpose of the current study was to replicate recent methods that have used diffusion tensor imaging (DTI) to compare individuals with PD with and without depression and to extend previous findings to allow for a better understanding of the results. Methods Thirty-seven participants with de novo PD were retrieved from the Parkinson's Progression Marker's Initiative (PPMI) and were separ
View details →DOI: 10.3389/fneur.2019.00884Cited by 15 Negative / Null Result ReportOpen accessMedicine
Jeremy McGale, Harrison J. Howell, Arnaud Beddok et al. · 2024 · Pharmaceuticals
The integration of artificial intelligence (AI) and positron emission tomography (PET) imaging has the potential to become a powerful tool in drug discovery. This review aims to provide an overview of the current state of research and highlight the potential for this alliance to advance pharmaceutical innovation by accelerating the development and deployment of novel therapeutics. We previously performed a scoping review of three databases (Embase, MEDLINE, and CENTRAL), identifying 87 studies published between 2018 and 2022 relevant to medical imaging (e.g., CT, PET, MRI), immunotherapy, arti
View details →DOI: 10.3390/ph17020210Cited by 14 Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology
Waylon J. Hastings, Laura Etzel, Christine M. Heim et al. · 2022 · Aging
Various approaches exist to assess population differences in biological aging. Telomere length (TL) is one such measure, and is associated with disease, disability and early mortality. Yet, issues surrounding precision and reproducibility are a concern for TL measurement. An alternative method to estimate TL using DNA methylation (DNAmTL) was recently developed. Although DNAmTL has been characterized in adult and elderly cohorts, its utility in pediatric populations remains unknown. We examined the comparability of leukocyte TL measurements generated using qPCR (absolute TL; aTL) to those esti
View details →DOI: 10.18632/aging.203849Cited by 14 Negative / Null Result ReportOpen accessMedicine
Suzanna Forwood, Amy L. Ahern, Gareth J Hollands et al. · 2013 · PLoS ONE
OBJECTIVE: Previous studies have shown that estimations of the calorie content of an unhealthy main meal food tend to be lower when the food is shown alongside a healthy item (e.g. fruit or vegetables) than when shown alone. This effect has been called the negative calorie illusion and has been attributed to averaging the unhealthy (vice) and healthy (virtue) foods leading to increased perceived healthiness and reduced calorie estimates. The current study aimed to replicate and extend these findings to test the hypothesized mediating effect of ratings of healthiness of foods on calorie estimat
View details →DOI: 10.1371/journal.pone.0071475Cited by 14 Negative / Null Result ReportOpen accessMaterials Science
Rong Guo, Qiuzheng Du, Yaping He et al. · 2026 · Nano-Micro Letters
Single-atom nanozymes (SAzymes) exhibit exceptional catalytic efficiency due to their maximized atom utilization and precisely modulated metal-carrier interactions, which have attracted significant attention in the biomedical field. However, stability issues may impede the clinical translation of SAzymes. This review provides a comprehensive overview of the applications of SAzymes in various biomedical fields, including disease diagnosis (e.g., biosensors and diagnostic imaging), antitumor therapy (e.g., photothermal therapy, photodynamic therapy, sonodynamic therapy, and immunotherapy), antim
View details →DOI: 10.1007/s40820-025-01939-2Cited by 14 Negative / Null Result ReportOpen accessMedicine
Dejan Georgiev, Harith Akram, Marjan Jahanshahi · 2021 · Psychoradiology
Following the established application of deep brain stimulation (DBS) in the treatment of movement disorders, new non-neurological indications have emerged, such as for obsessive-compulsive disorders, major depressive disorder, dementia, Gilles de la Tourette Syndrome, anorexia nervosa, and addictions. As DBS is a network modulation surgical treatment, the development of DBS for both neurological and psychiatric disorders has been partly driven by advances in neuroimaging, which has helped explain the brain networks implicated. Advances in magnetic resonance imaging connectivity and electrophy
View details →DOI: 10.1093/psyrad/kkab012Cited by 14 Negative / Null Result ReportOpen accessMedicine
Jan Walter Benjamins, Ming Wai Yeung, Teemu Maaniitty et al. · 2021 · International Journal of Cardiology
BACKGROUND: Standard computed tomography angiography (CTA) outputs a myriad of interrelated variables in the evaluation of suspected coronary artery disease (CAD). But an important proportion of obstructive lesions does not cause significant myocardial ischemia. Nowadays, machine learning (ML) allows integration of numerous variables through complex interdependencies that optimize classification and prediction at the individual level. We evaluated ML performance in integrating CTA and clinical variables to identify patients that demonstrate myocardial ischemia through PET and those who ultimat
View details →DOI: 10.1016/j.ijcard.2021.04.009Cited by 13 Negative / Null Result ReportOpen accessPhysics and Astronomy
Sara Kurkowska, Julia Brosch-Lenz, Yuni K. Dewaraja et al. · 2025 · Journal of Nuclear Medicine
Individualized radiopharmaceutical therapies guided by patient-specific absorbed dose (AD) assessments using nuclear medicine imaging have the potential to improve both efficacy and safety. Understanding sources of variability in AD calculations is critical for standardization. The Society of Nuclear Medicine and Molecular Imaging Dosimetry Task Force launched the 177Lu Dosimetry Challenge to evaluate variability across steps within the dosimetry workflow. This work aimed to assess the variability in ADs due to different fitting and integration methods. Methods: Anonymized datasets from 2 pati
View details →DOI: 10.2967/jnumed.124.268612Cited by 13 Negative / Null Result ReportOpen accessNeuroscience
Daniel Griffiths-King, Amanda Wood, Jan Novák · 2023 · Scientific Reports
Brain development is regularly studied using structural MRI. Recently, studies have used a combination of statistical learning and large-scale imaging databases of healthy children to predict an individual's age from structural MRI. This data-driven, predicted 'Brainage' typically differs from the subjects chronological age, with this difference a potential measure of individual difference. Few studies have leveraged higher-order or connectomic representations of structural MRI data for this Brainage approach. We leveraged morphometric similarity as a network-level approach to structural MRI t
View details →DOI: 10.1038/s41598-023-42414-5Cited by 12 Negative / Null Result Report
Oleh V. Lushchak, Dmytro V. Gospodaryov, Ihor S. Yurkevych et al. · 2015 · Archives of Insect Biochemistry and Physiology
Aging is often associated with accumulation of oxidative damage in proteins and lipids. However, some studies do not support this view, raising the question of whether high levels of oxidative damage are associated with lifespan. In the…
View details →DOI: 10.1002/arch.21308Cited by 12 Negative / Null Result ReportOpen accessEnvironmental Science
Kasper Skytte Andersen, Kai Zhao, Alexander de Linde Agerskov et al. · 2025 · Nature Communications
Understanding species-level abundance dynamics in complex microbial communities is key to managing microbial ecosystems, yet it remains a major challenge. In wastewater treatment plants (WWTPs), the presence and abundance of…
View details →DOI: 10.1038/s41467-025-64175-7Cited by 12 Negative / Null Result ReportOpen accessPhysics and Astronomy
Callum T. Donnan, Mark Dickinson, Anthony J. Taylor et al. · 2025 · The Astrophysical Journal
Abstract We present JWST/NIRSpec PRISM observations of three luminous ( M UV < −20) galaxies at z ∼ 10 observed with the CANDELS-Area Prism Epoch of Reionization Survey (CAPERS) Cycle 3 program. These galaxies exhibit extreme UV slopes compared to typical galaxies at z = 10. Of the three sources, two of them are a close pair (0 . ″ 22) of blue galaxies at z = 9.800 ± 0.003 and z = 9.808 ± 0.002 with UV slopes of β = −2.87 ± 0.15 and β = −2.46 ± 0.10, respectively, selected from PRIMER COSMOS NIRCam imaging. We perform spectrophotometric modeling of the galaxies, which suggests extre
View details →DOI: 10.3847/1538-4357/ae0a1fCited by 12 Negative / Null Result Report
Alexis Vrachimis, Joachim Gerss, Maren Stoyke et al. · 2014 · Clinical Endocrinology
Summary Objective The seventh edition of the American Joint Committee on Cancer ( AJCC ) has more detailed staging categories for differentiated thyroid cancer ( DTC ) than the fifth edition. The aim was to compare potential alterations in…
View details →DOI: 10.1111/cen.12405Cited by 12 Negative / Null Result ReportOpen accessNeuroscience
Alice Mason, Casimir J. H. Ludwig, Simon Farrell · 2016 · Quarterly Journal of Experimental Psychology
Reward is thought to enhance episodic memory formation via dopaminergic consolidation. Bunzeck, Dayan, Dolan, and Duzel [(2010). A common mechanism for adaptive scaling of reward and novelty. Human Brain Mapping, 31, 1380-1394] provided functional magnetic resonance imaging (fMRI) and behavioural evidence that reward and episodic memory systems are sensitive to the contextual value of a reward-whether it is relatively higher or lower-as opposed to absolute value or prediction error. We carried out a direct replication of their behavioural study and did not replicate their finding that memory p
View details →DOI: 10.1080/17470218.2016.1233439Cited by 12 Negative / Null Result ReportOpen accessAgricultural and Biological Sciences
Jing Mai, Ying Ning, Zhonglong Lin et al. · 2025 · Industrial Crops and Products
Many bacteria such as Bacillus , Pseudomonas , and Lactobacillus are widely present in flue-cured tobacco leaves during the aging process, indicating they play important roles in improving tobacco quality. In this study, we aimed to screen…
View details →DOI: 10.1016/j.indcrop.2025.121580Cited by 12 Negative / Null Result ReportOpen accessImmunology and Microbiology
Natalia Ristic, Mario P. S. Chin · 2010 · Retrovirology
BACKGROUND: The viral genome of HIV-1 contains several secondary structures that are important for regulating viral replication. The stem-loop 1 (SL1) sequence in the 5' untranslated region directs HIV-1 genomic RNA dimerization and packaging into the virion. Without SL1, HIV-1 cannot replicate in human T cell lines. The replication restriction phenotype in the SL1 deletion mutant appears to be multifactorial, with defects in viral RNA dimerization and packaging in producer cells as well as in reverse transcription of the viral RNA in infected cells. In this study, we sought to characterize SL
View details →DOI: 10.1186/1742-4690-7-73Cited by 11 Negative / Null Result ReportOpen accessMedicine
Eun-Ju Kim, Chan Kyo Kim, Hyun Soo Kim et al. · 2020 · British Journal of Radiology
Objective: To evaluate the usefulness of histogram analysis of stretched exponential model (SEM) on diffusion-weighted imaging in evaluating clinically significant prostate cancer (CSC). Methods: A total of 85 patients with prostate cancer…
View details →DOI: 10.1259/bjr.20190757Cited by 10 Negative / Null Result ReportOpen accessNeuroscience
Chao Jiang, Yingying Dai, Yunheng Ding et al. · 2024 · Brain Sciences
Electroencephalography (EEG)-based emotion recognition is increasingly pivotal in the realm of affective brain-computer interfaces. In this paper, we propose TSANN-TG (temporal-spatial attention neural network with a task-specific graph), a novel neural network architecture tailored for enhancing feature extraction and effectively integrating temporal-spatial features. TSANN-TG comprises three primary components: a node-feature-encoding-and-adjacency-matrices-construction block, a graph-aggregation block, and a graph-feature-fusion-and-classification block. Leveraging the distinct temporal sca
View details →DOI: 10.3390/brainsci14050516Cited by 10 Negative / Null Result ReportOpen accessPhysics and Astronomy
Matthias Klein, J. J. Mohr, C. T. Davies · 2024 · Astronomy and Astrophysics
Galaxy clusters are useful cosmological probes and interesting astrophysical laboratories. As the cluster samples continue to grow in size, a deeper understanding of the sample characteristics and improved control of systematics becomes more crucial. For this analysis we created a new and larger ACT-DR5-based thermal Sunyaev–Zel’dovich Effect- (tSZE-) selected galaxy cluster catalog with improved control over sample purity and completeness. We employed the red sequence based cluster redshift and confirmation tool MCMF together with optical imaging data from the Legacy Survey DR-10 and infrared
View details →DOI: 10.1051/0004-6361/202451203Cited by 10 Negative / Null Result ReportOpen accessBusiness, Management and Accounting
Abdulalem Mohammed, Abdullah Kaid Al‐Swidi, Mohammed A. Al-Hakimi et al. · 2025 · Discover Sustainability
The relationship between Corporate Social Responsibility (CSR) and competitive advantage (CA) has become more critical than ever for firms, particularly in the hospitality and other service industries, during times of crisis. This study…
View details →DOI: 10.1007/s43621-025-00824-7Cited by 10 Negative / Null Result ReportOpen accessMedicine
Judith Charbit, Jean‐Sébastien Vidal, Olivier Hanon · 2025 · Nutrients
Cognitive aging is a complex, multifactorial process influenced by genetic, metabolic, and environmental factors. Among modifiable risk factors, nutrition has emerged as a promising target to preserve cognitive function. This review provides a comprehensive overview of the impact of dietary interventions-including specific nutrients and dietary patterns-on cognitive domains (memory, executive function, global cognition) and mental health. Recent findings: multinutrient supplementation, particularly combinations of B vitamins and omega-3 fatty acids, appears beneficial for episodic memory, espe
View details →DOI: 10.3390/nu17121964Cited by 10 Negative / Null Result ReportOpen accessMedicine
Joseph R. Winer, Hillary Vossler, Christina B. Young et al. · 2024 · Brain Communications
Abstract Co-pathology is frequent in Lewy body disease, which includes clinical diagnoses of both Parkinson’s disease and dementia with Lewy bodies. Measuring concomitant pathology in vivo can improve clinical and research diagnoses and prediction of cognitive trajectories. Tau PET imaging may serve a dual role in Lewy body disease by measuring cortical tau aggregation as well as assessing dopaminergic loss attributed to binding to neuromelanin within substantia nigra. We sought to characterize 18F-PI-2620, a next generation PET tracer, in individuals with Lewy body disease. We recruited 141 p
View details →DOI: 10.1093/braincomms/fcae458Cited by 10 Negative / Null Result ReportOpen accessMedicine
Amira Soliman, Björn Agvall, Kobra Etminani et al. · 2023 · Journal of Medical Internet Research
BACKGROUND: Sensitive and interpretable machine learning (ML) models can provide valuable assistance to clinicians in managing patients with heart failure (HF) at discharge by identifying individual factors associated with a high risk of readmission. In this cohort study, we delve into the factors driving the potential utility of classification models as decision support tools for predicting readmissions in patients with HF. OBJECTIVE: The primary objective of this study is to assess the trade-off between using deep learning (DL) and traditional ML models to identify the risk of 100-day readmi
View details →DOI: 10.2196/46934Cited by 9 Negative / Null Result ReportOpen accessMedicine
Urszula Smyczyńska, Szymon Grabia, Zuzanna Nowicka et al. · 2021 · Cancers
State-of-art normal tissue complication probability (NTCP) models do not take into account more complex individual anatomical variations, which can be objectively quantitated and compared in radiomic analysis. The goal of this project was development of radiomic NTCP model for radiation-induced hypothyroidism (RIHT) using imaging biomarkers (radiomics). We gathered CT images and clinical data from 98 patients, who underwent intensity-modulated radiation therapy (IMRT) for head and neck cancers with a planned total dose of 70.0 Gy (33–35 fractions). During the 28-month (median) follow-up 27 pat
View details →DOI: 10.3390/cancers13215584Cited by 9 Negative / Null Result ReportOpen accessMedicine
Gustavo Jimenez‐Maggiora, Arndt‐Peter Schulz, Michael Donohue et al. · 2024 · The Journal of Prevention of Alzheimer s Disease
BACKGROUND: The Anti-Amyloid Treatment in Asymptomatic Alzheimer's Disease (A4) and Longitudinal Evaluation of Amyloid Risk and Neurodegeneration (LEARN) studies were conducted between 2014 and 2023, with enrollment completed in 2017 and final study results reported in 2023. The study screening process involved the collection of initial clinical, cognitive, neuroimaging, and genetic measures to determine eligibility. Once randomized, enrolled participants were assessed every four weeks over a 4.5-year follow-up period during which longitudinal clinical, cognitive, and neuroimaging measures wer
View details →DOI: 10.14283/jpad.2024.120Cited by 9 Negative / Null Result ReportOpen accessMedicine
F Visalli, Matteo Capobianco, F. Cappellani et al. · 2026 · International Journal of Molecular Sciences
Mitochondrial dysfunction represents a central hallmark of aging and a broad spectrum of chronic diseases, ranging from metabolic to neurodegenerative and ocular disorders. Nicotinamide riboside (NR), a vitamin B3 derivative and efficient precursor of NAD+ (nicotinamide adenine dinucleotide), and berberine (BBR), an isoquinoline alkaloid widely investigated in metabolic regulation, have independently emerged as promising mitochondrial modulators. NR enhances cellular NAD+ pools, thereby activating sirtuin-dependent pathways, stimulating PGC-1α–mediated mitochondrial biogenesis, and triggering
View details →DOI: 10.3390/ijms27010485Cited by 9 Negative / Null Result ReportOpen accessComputer Science
Andrea Espis, Chiara Marzi, Stefano Diciotti · 2025 · Scientific Reports
Self-supervised learning (SSL) in computer vision has shown its potential to reduce reliance on labeled data. However, most studies focused on balanced, large, broad-domain datasets like ImageNet, whereas, in real-world medical applications, dataset size is typically limited. This study compares the performance of SSL versus supervised learning (SL) on small, imbalanced medical imaging datasets. We experimented with four binary classification tasks: age prediction and diagnosis of Alzheimer's disease from brain magnetic resonance imaging scans, pneumonia from chest radiograms, and retinal dise
View details →DOI: 10.1038/s41598-025-99000-0Cited by 9 Negative / Null Result ReportOpen accessMedicine
Émilie Le Rhun, Lakshmi Nayak, Mary Jane Lim-Fat et al. · 2024 · Neuro-Oncology
BACKGROUND: There are no validated tools for the clinical neurological assessment of patients with leptomeningeal metastases (LM). However, clinical examination during the course of the disease guides medical management and is part of response assessment in clinical trials. Because neuroimaging may not always be obtained owing to rapid clinical deterioration, clinical neurological assessment of LM is essential, and standardization is important to minimize rater disagreement. METHODS: The Response Assessment in Neuro-oncology-LM group launched a 2-step process, aiming at improving and standardi
View details →DOI: 10.1093/neuonc/noae171Cited by 9 