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Failure-mode index

Search what already failed

A searchable index of real negative results, null findings, and replication failures from the published literature — so you can learn what didn't work before repeating it.

WASTE indexes published research — it does not host or republish full papers. Each entry is a metadata record (title, authors, DOI) compiled from open scholarly databases, with the abstract shown in full only where the paper is openly licensed (e.g. Creative Commons); otherwise a short excerpt is shown for reference under fair use. WASTE classifies each work by failure type; classifications are automated and approximate.

776 results for "aging" · page 6 of 26

Negative / Null Result ReportOpen accessMedicine

Arc mediates intercellular tau transmission via extracellular vesicles

Mitali Tyagi, Eric de Hoog, Matthew Grega et al. · 2026 · Cell

Abstract Intracellular neurofibrillary tangles that consist of misfolded tau protein 1 cause neurodegeneration in Alzheimer’s disease (AD) and frontotemporal dementia (FTD). Tau pathology spreads cell-to-cell 2 but the exact mechanisms of tau release and intercellular transmission remain poorly defined. Tau is released from neurons as free protein or in extracellular vesicles (EVs) 3–5 but the role of these different release mechanisms in intercellular tau transmission is unclear. Here, we show that the neuronal gene Arc is critical for packaging tau into EVs. Brain EVs purified from human tau

View details →DOI: 10.1016/j.cell.2026.06.008Cited by 12
Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology

Origins of chromosome instability unveiled by coupled imaging and genomics

Marco Raffaele Cosenza, Alice Gaiatto, Büşra Erarslan Uysal et al. · 2025 · Nature

, the underlying processes and rates of spontaneous CA formation in human cells are underexplored. Here we introduce machine-learning-assisted genomics and imaging convergence (MAGIC)-an autonomously operated platform that integrates live-cell imaging of micronucleated cells, machine learning on-the-fly and single-cell genomics to systematically investigate CA formation. Applying MAGIC to near-diploid, non-transformed cell lines, we track de novo CAs over successive cell cycles, highlighting the common role of dicentric chromosomes as initiating events. We determine the baseline CA mutation ra

View details →DOI: 10.1038/s41586-025-09632-5Cited by 11
Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology

Minimal residual disease in solid tumors: Clinical applications and future directions

Theresa Abdo, Ahmad Alhalabi, Sacha Yaghi et al. · 2026 · Cancer

Minimal residual disease (MRD) refers to the presence of residual cancer cells or tumor-derived fragments that persist after treatment and remain undetectable by conventional imaging or protein-based assays. Circulating tumor DNA (ctDNA)…

View details →DOI: 10.1002/cncr.70286Cited by 11
Negative / Null Result ReportOpen accessEconomics, Econometrics and Finance

Government spending and economic growth dynamics in Somalia: time series evidence from ARDL bounds testing

Bile Abdisalan Nor, Yusniliyana Yusof · 2025 · Discover Sustainability

Abstract Somalia’s economy has faced persistent instability due to shocks from COVID-19, climate-related disasters, and conflict, resulting in stagnant GDP growth (averaging 2% from 2019 to 2023) and declining real GDP per capita (− 0.8% annually). Despite government expenditure rising to 9% of GDP in 2021, its efficiency in driving growth remains uncertain, raising critical questions about fiscal policy effectiveness in fragile states. We aim to investigate the relationship between government expenditure and GDP growth in Somalia from 1991 to 2021 using the ARDL estimation technique. The resu

View details →DOI: 10.1007/s43621-025-01471-8Cited by 11
Negative / Null Result ReportOpen accessImmunology and Microbiology

Mutations in matrix and SP1 repair the packaging specificity of a Human Immunodeficiency Virus Type 1 mutant by reducing the association of Gag with spliced viral RNA

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

Leveraging radiotherapy to improve immunotherapy outcomes: rationale, progress and research priorities

Faith Hartley, Martin A. Ebert, Alistair Cook · 2025 · Clinical & Translational Immunology

The most successful immunotherapies for solid malignancies to date, immune checkpoint inhibitors, target the essential role of T cells in antitumor immunity. However, T-cell dysfunction presents a major hindrance to treatment efficacy, warranting research into combined treatment strategies for improving outcomes. The use of radiotherapy for this purpose has garnered much interest. Preclinical study has established that radiotherapy activates various immune mechanisms to improve T-cell activation, localisation and function within tumors, which improves response to immune checkpoint inhibitors.

View details →DOI: 10.1002/cti2.70030Cited by 11
Replication FailureOpen accessHealth Professions

Effects of a Computer Vision–Based Exercise Application for People With Knee Osteoarthritis: Randomized Controlled Trial

Dian Zhu, Jianan Zhao, Tong Wu et al. · 2025 · JMIR mhealth and uhealth

Background: Exercise is a primary recommended treatment for knee osteoarthritis (KOA), as it helps alleviate symptoms and improves joint functionality. Personalized exercise programs, tailored to individual patient needs, have demonstrated promising results in maintaining physical fitness and enhancing overall well-being. In recent years, digital health applications have emerged as innovative tools for supervising and facilitating rehabilitation programs. Leveraging computer vision (CV) technology, these applications offer the potential to provide precise feedback and support personalized exer

View details →DOI: 10.2196/63022Cited by 11
Negative / Null Result ReportOpen accessEconomics, Econometrics and Finance

Impact of air pollution on life expectancy in Asian developing countries: Does renewable energy adoption matter?

Bo Yang, Fatma Ahmed Hassan, Waqar Ahmad et al. · 2026 · Frontiers in Public Health

Air pollution (AIRP) remains a critical public health and environmental challenge in developing Asia, where rapid industrialization and fossil fuel dependence continue to undermine population health and longevity. This study examines the impact of AIRP on life expectancy (LIFE) and investigates whether renewable energy adoption moderates this relationship. AIRP is proxied by carbon dioxide (CO₂) and nitrous oxide (N₂O) emissions, which capture pollution-intensive energy systems, industrial activity, and agricultural practices that jointly generate health-damaging co-pollutants, particularly in

View details →DOI: 10.3389/fpubh.2026.1724402Cited by 11
Negative / Null Result ReportOpen accessMedicine

18F-PI-2620 Tau PET is associated with cognitive and motor impairment in Lewy body disease

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 accessNeuroscience

Glymphatic system impairment in cerebral small vessel disease: associations with perivascular space volume and cognition

Lulu Ai, Zhiwei Li, Huipeng Huang et al. · 2025 · Frontiers in Aging Neuroscience

Objective While emerging evidence links glymphatic dysfunction to cerebral small vessel disease (CSVD), its clinical relevance remains poorly defined. This study aimed to investigate the relationships among glymphatic function, perivascular space (PVS), and cognitive performance in CSVD. Methods We enrolled 120 CSVD patients [52 with no cognitive impairment (CSVD-NCI) and 68 with mild cognitive impairment (CSVD-MCI)] and 40 healthy controls (HCs). Glymphatic function was assessed using the left ALPS index derived from diffusion tensor imaging analysis along the perivascular space (DTI-ALPS). G

View details →DOI: 10.3389/fnagi.2025.1680094Cited by 10
Negative / Null Result ReportOpen accessMedicine

Effects of Dietary Interventions on Cognitive Outcomes

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 accessEarth and Planetary Sciences

Confidence-guided cryo-EM map optimisation with LocScale-2.0

Alok Bharadwaj, R. de Bruin, Arjen J. Jakobi · 2026 · Nature Communications

Cryogenic sample electron microscopy (cryo-EM) maps often display uneven quality, with high-resolution features coexisting alongside weak or poorly ordered regions. Such variation complicates structural interpretation, especially for heterogeneous macromolecular assemblies. Here, we present LocScale-2.0, a context-aware map optimisation framework that operates without prior knowledge of molecular structure or composition. By leveraging general expectations of electron scattering by biological macromolecules, it enhances local detail and connectivity while preserving weak but biologically relev

View details →DOI: 10.1038/s41467-026-75327-8Cited by 10
Negative / Null Result ReportOpen accessBusiness, Management and Accounting

Enhancing corporate competitiveness: leveraging CSR, creative self-efficacy, and behavior for competitive advantage

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 accessNeuroscience

TSANN-TG: Temporal–Spatial Attention Neural Networks with Task-Specific Graph for EEG Emotion Recognition

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

The ACT-DR5 MCMF galaxy cluster catalog

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 accessComputer Science

Clinical validation of lightweight CNN architectures for reliable multi-class classification of lung cancer using histopathological imaging techniques

Ali Raza, Fareeha Hanif, Heba Abdelgader Mohammed · 2026 · Scientific Reports

Lung cancer remains one of the leading causes of cancer-related mortality worldwide, and accurate early diagnosis plays a critical role in improving patient survival. In this study, a comparative analysis of multiple lightweight Convolutional Neural Network (CNN) variants is presented for multi-class lung cancer classification using histopathological images. Four CNN architectures were designed to systematically explore the trade-off between model complexity and classification performance. Each variant was trained and evaluated within a unified experimental framework incorporating data augment

View details →DOI: 10.1038/s41598-026-36652-6Cited by 10
Negative / Null Result ReportOpen accessMedicine

The role of microbiota dysbiosis in Parkinson’s disease: Pathophysiology and therapeutic opportunities

Shabnam Santos, Ivonne Salinas, Nicolás Almeida et al. · 2025 · Engineering Microbiology

ABSTRACT Parkinson’s disease (PD) is a chronic, progressive neurodegenerative disorder characterized by debilitating motor and non-motor symptoms. Its etiology is multifactorial, with no single definitive cause identified, although aging…

View details →DOI: 10.1016/j.engmic.2025.100222Cited by 10
Negative / Null Result ReportOpen accessMedicine

Histogram analysis from stretched exponential model on diffusion-weighted imaging: evaluation of clinically significant prostate cancer

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 accessMedicine

Trajectories of plasma and CSF MTBR-tau243 and phosphorylated-tau species across the Alzheimer’s disease continuum

Lyduine Eisa Collij, Gemma Salvadó, Kanta Horie et al. · 2026 · Nature Communications

To efficiently implement plasma and cerebrospinal fluid (CSF) biomarkers for staging and prognosis of Alzheimer disease (AD), we must understand their dynamics across disease progression. We analyzed participants from the Swedish BioFINDER-2 study with mass spectrometry measurements of plasma and CSF tau species, including eMTBR-tau243/MTBR-tau243 and phosphorylation occupancies (%p-tau). Disease duration was estimated using Aβ-PET and tau-PET with the SILA algorithm. Bootstrapped LOESS models showed that %p-tau217 changes earliest, increasing just before Aβ-PET positivity. Other p-tau species

View details →DOI: 10.1038/s41467-026-71732-1Cited by 10
Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology

Microbiota-Gut-Kidney Axis and Targeted Therapeutic Strategies in Kidney Diseases

Zhenghao Sun, Qian Gong, Zi-lai Wang et al. · 2026 · International Journal of Biological Sciences

The gut microbiota, as a source of profound genetic and metabolic capacity, affects every aspect of human biology including health, development and aging, as well as disease. Studies have demonstrated the crosstalk between the gut…

View details →DOI: 10.7150/ijbs.124499Cited by 9
Negative / Null Result ReportOpen accessPhysics and Astronomy

Connecting Environment, Star Formation History, and Morphology of Massive Quiescent Galaxies at 3 < z < 4 with JWST

Lalitwadee Kawinwanichakij, Karl Glazebrook, Themiya Nanayakkara et al. · 2026 · The Astrophysical Journal

Abstract We present the morphological properties of 17 spectroscopically confirmed massive quiescent galaxies ( 10.2 < log ( M * / M ⊙ ) < 11.2 ) at 3.0 < z < 4.3, observed with JWST/NIRSpec and NIRCam. Using Sérsic profile fits to F277W and F444W imaging, we derive the size–mass relation and find typical sizes of ∼0.6–0.8 kpc at M * = 5 × 10 10 M ⊙ , consistent with ∼7× growth from z ∼ 4 to the present, including ∼2× by z ∼ 2. We find tentative evidence that formation history and morphology jointly influence galaxy sizes: late-forming bulge-dominated galaxies appear more compact by ∼0.2–0.3 d

View details →DOI: 10.3847/1538-4357/ae0a18Cited by 9
Negative / Null Result ReportOpen accessMedicine

Parkinson's disease: pathogenesis and therapeutic strategies

Shanshan Zhang, Tingyu Wang, Ye Peng et al. · 2026 · Molecular Biomedicine

Parkinson's disease (PD) is a neurodegenerative disorder primarily characterized by motor impairments such as bradykinesia, tremor, and rigidity. Its neuropathological hallmarks include the progressive loss of dopaminergic neurons in the substantia nigra pars compacta (SNc) and the aggregation of α-synuclein (α-syn) into Lewy bodies (LBs), which gradually spread to other central nervous system regions and peripheral tissues. The etiology of PD is multifactorial, involving a complex interplay of genetic predisposition, aging, environmental exposures, and lifestyle factors. Disease pathogenesis

View details →DOI: 10.1186/s43556-026-00445-0Cited by 9
Negative / Null Result ReportOpen accessMedicine

Sarcopenia and Muscle Aging: Updated Insights into Molecular Mechanisms and Translational Therapeutics

T. Nguyen, Tam Dao, Ha Thu Nguyen et al. · 2026 · Endocrinology and Metabolism

Sarcopenia is a progressive, age-related condition characterized by the loss of skeletal muscle mass, strength, and function, which increases the risk of falls, frailty, and loss of independence. Despite growing recognition and its…

View details →DOI: 10.3803/enm.2025.2656Cited by 9
Negative / Null Result ReportOpen accessNeuroscience

Diffusion tensor image analysis along the perivascular space (DTI-ALPS): redefining its interpretation and role

Toshiaki Taoka, Rintaro Ito, Rei Nakamichi et al. · 2026 · Japanese Journal of Radiology

Diffusion tensor image analysis along the perivascular space (DTI-ALPS) was originally developed and defined as a noninvasive diffusion MRI method intended to evaluate glymphatic function and is now widely used in neuroimaging research. However, accumulating evidence suggests that the biological meaning of the ALPS index is more complex than initially assumed as a simple marker of glymphatic function. The ALPS index does not directly measure whole-brain fluid transport but rather reflects localized directional diffusivity based on the Brownian motion of water molecules. Its value is strongly i

View details →DOI: 10.1007/s11604-026-02035-0Cited by 9
Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology

Challenges and progress in RNA velocity: Comparative analysis across multiple biological contexts

Sarah Ancheta, Leah C. Dorman, Guillaume Le Treut et al. · 2026 · PLoS Computational Biology

Single-cell RNA sequencing is revolutionizing our understanding of cell state dynamics, allowing researchers to capture and quantify the transcriptomic profile of a single cell at a specific timepoint. Among the computational techniques used to predict cellular trajectories, RNA velocity has emerged as a predominant tool for modeling transcriptional dynamics. RNA velocity leverages the mRNA maturation process to generate velocity vectors that predict the likely future state of a cell, offering insights into cellular differentiation, aging, and disease progression. Although this technique has s

View details →DOI: 10.1371/journal.pcbi.1014303Cited by 9
Negative / Null Result ReportOpen accessMedicine

Semaglutide slows epigenetic aging in a randomized trial of HIV-associated lipohypertrophy

Michael J. Corley, Varun B. Dwaraka, Alina P.S. Pang et al. · 2026 · Nature Communications

Glucagon-like peptide-1 (GLP-1) receptor agonists have attracted interest as gerotherapeutics, yet clinical-trial evidence for their effects on biological aging is lacking. We report a post hoc exploratory epigenetic age analysis of a 32-week, randomized, double-blind, placebo-controlled phase 2b trial (NCT04019197) of semaglutide in adults with human immunodeficiency virus (HIV)-associated lipohypertrophy (semaglutide n = 45; placebo n = 39). The parent trial's primary endpoint was change in visceral adipose tissue, with secondary cardiometabolic and body-composition endpoints; epigenetic agi

View details →DOI: 10.1038/s41467-026-72861-3Cited by 9
Negative / Null Result ReportOpen accessMedicine

Mitochondrial Health Through Nicotinamide Riboside and Berberine: Shared Pathways and Therapeutic Potential

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 accessMedicine

NANO-LM: An updated scorecard for the clinical assessment of patients with leptomeningeal metastases

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
Negative / Null Result ReportOpen accessComputer Science

Comparative analysis of supervised and self-supervised learning with small and imbalanced medical imaging datasets

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

Maximizing the Utility of Alzheimer's Disease Trial Data: Sharing of Baseline A4 and LEARN Data

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