e-ISSN: Pending
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.

19814 results in Negative / Null Result Report · page 146 of 661

Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology

Gut‒heart axis: emerging therapies targeting trimethylamine N-oxide production

Efrain Ricardo Torres, Jennifer Wilcox, W. H. Wilson Tang · 2025 · Gut Microbes

Trimethylamine N-oxide (TMAO) has garnered considerable attention because of its role in the pathophysiology and pathogenesis of various disorders, particularly heart and kidney disease. Gut microbes produce trimethylamine (TMA) moieties from common dietary precursors, such as choline or carnitine, which are subsequently metabolized by the liver into TMAO. Circulating TMAO then exerts various effects, influencing dyslipidemia, metabolic syndrome, endothelial dysfunction, and inflammation, as well as other detrimental processes. Many existing medications have been shown to decrease TMAO levels

View details →DOI: 10.1080/19490976.2025.2604868Cited by 9
Negative / Null Result ReportOpen accessDentistry

Adjunctive Therapies in Periodontitis: Current Concepts and the Future

Rafael Scaf de Molon, João Paulo Steffens, Érica Dorigatti de Ávila et al. · 2026 · Journal of Periodontal Research

Periodontitis is a chronic, host-mediated inflammatory disease in which microbial dysbiosis and dysregulated immune responses drive the destruction of tooth-supporting tissues. Although conventional therapy remains centered on mechanical biofilm control, persistent inflammation and alveolar bone loss in susceptible individuals underscore the need for adjunctive strategies. Translating preclinical discoveries into predictable clinical outcomes, however, remains a major challenge in periodontal research. This narrative review integrates two interrelated themes, translational research methodology

View details →DOI: 10.1111/jre.70060Cited by 9
Negative / Null Result ReportOpen accessMedicine

Anti-inflammatory agents for the management of COPD - Quo Vadis?

Agamemnon Bakakos, Zoi Sotiropoulou, Nektarios Anagnostopoulos et al. · 2025 · Respiratory Medicine

Chronic obstructive pulmonary disease (COPD) remains a leading cause of morbidity and mortality around the globe. Its main characteristics are persistent respiratory symptoms and progressive airflow limitation, both of which are driven by chronic inflammation. Despite the use of maximum bronchodilation and in selected patients inhaled corticosteroids (ICS), current therapies neither halt disease progression nor prevent exacerbations and loss of lung function. Recent research has focused on developing novel anti-inflammatory agents targeting specific pathways implicated in COPD pathogenesis, ai

View details →DOI: 10.1016/j.rmed.2025.108396Cited by 9
Negative / Null Result ReportOpen accessMedicine

Performance and challenges of malaria rapid diagnostic tests in endemic regions of Africa

Fiyinfoluwa Demilade Ojeniyi, Adeola Oluwakemi Ayoola, Olajumoke Ibitoye et al. · 2025 · Scientific Reports

Rapid diagnostic tests (RDTs) have revolutionized malaria diagnosis, playing a crucial role in improving timely treatment and supporting surveillance efforts, especially in resource-limited settings. However, the performance of RDTs can…

View details →DOI: 10.1038/s41598-025-97259-xCited by 9
Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology

Gene therapy for Duchenne muscular dystrophy

Yuko Shimizu‐Motohashi · 2025 · Brain and Development

Duchenne muscular dystrophy (DMD) is an X-linked neuromuscular disorder caused by variants of the DMD that leads to progressive muscle degeneration. Recent advances in gene therapy have opened new therapeutic avenues, particularly through the use of adeno-associated virus (AAV)-mediated micro-dystrophin delivery. Delandistrogene moxeparvovec, the first FDA-approved gene therapy for DMD, has demonstrated transgene expression and potential functional improvement in early phase trials, although its long-term efficacy, durability, and safety remain unconfirmed. Immune-mediated toxicities including

View details →DOI: 10.1016/j.braindev.2025.104424Cited by 9
Negative / Null Result ReportOpen accessMedicine

Antibody drug conjugate targets are highly differentially expressed across the major types of ovarian cancer

Joanna M Porter, Cici Jin, Michael Churchman et al. · 2025 · European Journal of Cancer

BACKGROUND: Antibody-drug conjugates (ADCs) are emerging anti-cancer agents. The folate receptor alpha (FOLRα)-directed ADC mirvetuximab soravtansine recently demonstrated clinical activity in platinum-resistant ovarian cancer, with other ADCs currently in development. The relative expression of FOLRα and other ADC targets is largely unknown across ovarian cancer histotypes. METHODS: Expression levels of the ADC targets FOLRα, TROP2 and B7-H4 were assessed by immunohistochemistry in patient cohorts using tumour tissue microarrays of the major ovarian cancer histotypes: high grade serous (HGSOC

View details →DOI: 10.1016/j.ejca.2025.115522Cited by 9
Negative / Null Result ReportOpen accessMedicine

Distinct brain alterations and neurodegenerative processes in cognitive impairment associated with post-acute sequelae of COVID-19

Dayoung Seo, Yangsean Choi, Eunseon Jeong et al. · 2025 · Nature Communications

Although brain alterations have been reported in post-acute sequelae of SARS-CoV-2 (PASC), their prevalence and relationship to neurodegeneration remain unclear. We analyzed blood proteins and brain MRI from individuals approximately one…

View details →DOI: 10.1038/s41467-025-65597-zCited by 9
Negative / Null Result ReportOpen accessMedicine

Evaluating the role of CHG index in predicting stroke risk among adults with varying glucose regulation

Qun Xiao, WeiCheng Huang, Yuheng Zhuang et al. · 2025 · Aging Clinical and Experimental Research

BACKGROUND: Stroke is a significant public health issue, with its risk influenced by various metabolic factors. The Cholesterol, High-Density Lipoprotein, Glucose (CHG) index has been identified as a valid stroke predictor. However, the…

View details →DOI: 10.1007/s40520-025-03243-wCited by 9
Negative / Null Result ReportOpen accessNursing

Selenium Nanoparticles as Versatile Delivery Tools

Amir Nasrolahi Shirazi, Rajesh Vadlapatla, Ajoy Koomer et al. · 2025 · Pharmaceutics

Selenium nanoparticles (SeNPs) have emerged as promising metal-based nanoparticles for drug delivery due to their unique physicochemical properties, intrinsic bioactivity, and biocompatibility. SeNPs offer a lower toxicity, higher bioavailability, and flexibility to be customized for surface chemistry compared to traditional selenium compounds. Advances in synthetic strategies, including chemical reduction, green biosynthesis, and surface functionalization with polymers, peptides, or ligands, have improved their stability, targeting capability, and circulation time. SeNP-based systems have dem

View details →DOI: 10.3390/pharmaceutics17121556Cited by 9
Negative / Null Result ReportOpen accessEnvironmental Science

Obesity and climate change: co-crises with common solutions

Paul Behrens, Catherine M. Champagne, Jason C. G. Halford et al. · 2025 · Frontiers in Science

The global obesity crisis involves an unprecedented and rapid change to the human phenotype. Conferring vast levels of avoidable morbidity and mortality at enormous cost, it has proved refractory to previous policy-led action. This article reviews recent developments in our understanding of obesity and its links to the climate co-crisis, aiming to inform evidence-based, societal-level actions to address both. Recent therapeutic developments now offer transformative interventions for millions of people living with obesity. However, treating all affected adults and children with major bariatric

View details →DOI: 10.3389/fsci.2025.1613595Cited by 9
Negative / Null Result ReportOpen accessMedicine

SGLT-2 Inhibitors and GLP-1 Receptor Agonists as Combination Therapy in Type 2 Diabetes

Aris Liakos, Thomas Karagiannis, Ioannis Avgerinos et al. · 2026 · Current Diabetes Reports

PURPOSE OF REVIEW: The pharmacologic management of type 2 diabetes prioritises sodium-glucose cotransporter 2 (SGLT-2) inhibitors or glucagon-like peptide 1 (GLP-1) receptor agonists for their demonstrated cardiovascular benefits in individuals with atherosclerotic cardiovascular disease or multiple cardiovascular risk factors, chronic kidney disease, and heart failure. However, while current guidelines recommend these drug classes alone, combination therapy is not explicitly advocated. Herein we summarise the rationale and available evidence in support for combination therapy. RECENT FINDINGS

View details →DOI: 10.1007/s11892-025-01616-zCited by 9
Negative / Null Result ReportOpen accessMedicine

Improving medication adherence in type 2 diabetes: strategies for better clinical and economic outcomes

Patrick Highton, Mark P. Funnell, Pankaj Gupta et al. · 2025 · Diabetologia

Abstract Medication adherence is critical for optimal glycaemic management and the prevention of complications in type 2 diabetes mellitus. Despite its importance, non-adherence remains a prevalent issue, with global estimates suggesting that approximately 38% of people with type 2 diabetes do not take their medications as prescribed, although estimates vary widely due to a range of patient-related, socioeconomic, condition-related (e.g. chronicity, severity of comorbidities) and healthcare system factors. This review synthesises the current evidence on the prevalence of non-adherence in type

View details →DOI: 10.1007/s00125-025-06617-xCited by 9
Negative / Null Result ReportOpen accessMedicine

Oxygen level alters energy metabolism in bovine preimplantation embryos

Nina Boskovic, Marilin Ivask, Gamze Yazgeldi Gunaydin et al. · 2025 · Scientific Reports

Abstract Mammalian preimplantation embryo development is a complex sequence of events. This period of development is sensitive to oxygen (O 2 ) levels that can affect various cellular processes. We compared the influence of O 2 tension by culturing embryos either in normoxic (20% O 2 ) or physiological hypoxic (6% O 2 ) conditions, or sequential low O 2 concentration starting with 6% O 2 until 16-cell stage and then switching to ultrahypoxic conditions (2% O 2 ). Due to ethical concerns, we used bovine as an animal model with a good similarity of embryogenesis to human. We found that the cleav

View details →DOI: 10.1038/s41598-025-95990-zCited by 9
Negative / Null Result ReportOpen accessHealth Professions

Insights into Photo Degradation and Stabilization Strategies of Antibody–Drug Conjugates with Camptothecin Payloads

Shukun Luo, Joshua Bulos, Ricky Uroza et al. · 2025 · Pharmaceutics

Background: Photostability assessment is a critical component in the development of drug products, particularly for antibody–drug conjugates (ADCs) containing light-sensitive small molecules such as camptothecin (CPT) and its derivatives. ADCs conjugated with CPT derivative payloads often require extensive formulation and drug product development to ensure product stability due to their unique light-induced degradation pathways. In this study, we assessed the photostability of two ADC molecules with a CPT derivative payload (deruxtecan, DXd). Methods: Following light exposure, the stability of

View details →DOI: 10.3390/pharmaceutics17111397Cited by 9
Negative / Null Result ReportOpen accessComputer Science

ChatGPT as a Virtual Laboratory Teaching Assistant in Undergraduate Biology

M. Said Doğru, Emily Faulconer · 2025 · Research in Science Education

Abstract The emergence of ChatGPT brings an opportunity to lighten the workload of in-person teaching assistance in science laboratory courses. We investigated the use of the language model developed by OpenAI as a virtual teaching assistant for an introductory undergraduate biology laboratory course. Student-generated questions related to a laboratory exercise on enzyme activity were separately provided to ChatGPT and a cohort of graduate teaching assistants (TAs). Responses were evaluated for content accuracy and teaching effectiveness. Results revealed that human TAs were more accurate in t

View details →DOI: 10.1007/s11165-025-10271-zCited by 9
Negative / Null Result ReportOpen accessMedicine

Lessons learned from RadiologyNET foundation models for transfer learning in medical radiology

Mateja Napravnik, Franko Hržić, Martin Urschler et al. · 2025 · Scientific Reports

Deep learning models require large amounts of annotated data, which are hard to obtain in the medical field, as the annotation process is laborious and depends on expert knowledge. This data scarcity hinders a model's ability to generalise…

View details →DOI: 10.1038/s41598-025-05009-wCited 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 accessEngineering

Review on Thermal Stimulation in Deep Geothermal Reservoirs: Thermo-Mechanical Mechanisms and Fracture Evolution

Kaituo Li, Lin Zhu, Fei Xiong et al. · 2026 · Processes

Enhanced geothermal systems (EGS) are a key technology for developing deep geothermal resources, yet they face significant challenges in constructing efficient thermal reservoirs within high-stress, high-strength, and low-permeability crystalline rock formations. Traditional hydraulic fracturing (HF) techniques encounter deep challenges in these environments, including excessively high fracturing pressures, limited fracture network patterns, and the risk of induced seismicity. This paper reviews the multi-scale thermal-mechanical mechanisms, fracture evolution patterns, and control strategies

View details →DOI: 10.3390/pr14081199Cited by 9
Negative / Null Result ReportOpen accessEngineering

D-π-A sensitized carbon dots as long-lived type-I/Ⅱ photosensitizers for NIR-excited hypoxia-regulated photodynamic therapy

Zhenlin Zhang, Lang Yan, Weiwei Li et al. · 2026 · Nature Communications

In the development of clinically translatable triplet photosensitizers for hypoxia regulated photodynamic therapy (PDT), there is an unmet need for engineering sensitizers as near-infrared (NIR)-responsive, type I/type Ⅱ dual…

View details →DOI: 10.1038/s41467-026-71476-yCited by 9
Negative / Null Result ReportOpen accessMedicine

Integration of plasma eMTBR-tau243 and p-tau217 in the diagnosis and stratification of Alzheimer's disease: a prospective cohort study

Niklas Mattsson-Carlgren, Sebastian Palmqvist, Kanta Horie et al. · 2026 · The Lancet Neurology

BACKGROUND: Alzheimer's disease pathology can be accurately identified with blood biomarkers (core 1 biomarkers), including plasma p-tau217 tests. Biomarkers that change longitudinally after diagnosis (core 2 biomarkers) can increase confidence that Alzheimer's disease pathology is contributing to cognitive symptoms. Plasma eMTBR-tau243 reflects tau tangle pathology and is a promising core 2 biomarker. We aimed to examine whether, among patients positive for plasma p-tau217, plasma eMTBR-tau243 improves classification of established Alzheimer's disease and predicts cognitive decline and tau ta

View details →DOI: 10.1016/s1474-4422(26)00029-3Cited by 9
Negative / Null Result ReportOpen accessSocial Sciences

Using the Technology Acceptance Model to Measure the Effects of Usability Attributes and Demographic Characteristics on Student Use of Learning Management Systems in Saudi Higher Education

Sami Saeed Binyamin · 2026 · Edinburgh Napier Research Repository (Edinburgh Napier University)

Learning management systems (LMS), which allow education at the student’s choice of place and time, have been widely adopted in higher education worldwide. In the case of Saudi Arabia, LMS have been recently introduced in Saudi…

View details →DOI: 10.17869/enu.2026.2376896Cited by 9
Negative / Null Result ReportOpen accessAgricultural and Biological Sciences

Health Effects of Bee Products: A Comprehensive Review

Nevin Sanlier, Elif Yildiz Kaya, Ikbal Irem Yucel · 2026 · Food Science & Nutrition

Honey, bee pollen, propolis, bee bread, royal jelly, bee venom, beeswax, and apilarnil are among the bee-derived products that may serve health-related purposes, as they exhibit various biological activities such as antibacterial, antiviral, antifungal, antioxidant, anti-inflammatory, antitumor, vasodilatory, and blood pressure-lowering effects. In this review, the possible health effects and action mechanisms of bee products frequently used in apitherapy were examined. The therapeutic potential of bee-derived products is attributed to their content of amino acids, fatty acids, carbohydrates,

View details →DOI: 10.1002/fsn3.71165Cited by 9
Negative / Null Result ReportOpen accessMedicine

Tracing the origin of myofibroblasts in kidney fibrosis

Shun He, Tianchang Xia, Zhihou Guo et al. · 2025 · Nature Communications

Kidney fibrosis is a key pathological feature of chronic kidney disease (CKD), characterized by the activation and accumulation of αSMA-positive myofibroblasts. The cellular origin of myofibroblasts in kidney fibrosis has been a subject of…

View details →DOI: 10.1038/s41467-025-67373-5Cited by 9
Negative / Null Result ReportOpen accessMedicine

Resveratrol in food systems: challenges, innovations, and health potential

Jenny Bouchard, Nicola Gasparre, Thomas Netticadan et al. · 2025 · Journal of Functional Foods

The integration of resveratrol, a naturally occurring, health promoting polyphenolic stilbene, into food systems poses a challenge due to its low water solubility, chemical instability, poor bioavailability, and bitter taste. To address…

View details →DOI: 10.1016/j.jff.2025.107127Cited by 9
Negative / Null Result ReportOpen accessMathematics

Strategies to address non-proportional hazards between survival curves - Lessons from phase III trials in hepatocellular carcinoma

Ezequiel Mauro, Tiago de Castro, Marcus Zeitlhoefler et al. · 2025 · Journal of Hepatology

BACKGROUND & AIMS: Non-proportional hazards (NPH) can lead to discrepancies between interim (IA) and final analyses (FA) in randomized controlled trials (RCTs) of hepatocellular carcinoma (HCC). We assessed the impact of NPH in pivotal HCC…

View details →DOI: 10.1016/j.jhep.2025.08.042Cited by 9
Negative / Null Result ReportOpen accessMathematics

Predictive Modeling of Heterogeneous Treatment Effects in RCTs

Joe V. Selby, Carolien C. H. M. Maas, Bruce Fireman et al. · 2025 · JAMA Network Open

Importance: The Predictive Approaches to Treatment Effect Heterogeneity (PATH) Statement of 2020 proposed predictive modeling for identifying heterogeneity in treatment effects (HTE) in randomized clinical trials (RCTs). It described 2 approaches: risk modeling, which develops a multivariable model predicting individual baseline risk of study outcomes and then examines treatment effects across strata of predicted risk, and effect modeling, which develops a model that directly predicts individual treatment effects using a variety of regression and machine learning methods. Objective: To identif

View details →DOI: 10.1001/jamanetworkopen.2025.22390Cited by 9
Negative / Null Result ReportOpen accessEngineering

A Hybrid YOLO and Segment Anything Model Pipeline for Multi-Damage Segmentation in UAV Inspection Imagery

Rafael Cabral, Ricardo Santos, José A.F.O. Correia et al. · 2025 · Sensors

The automated inspection of civil infrastructure with Unmanned Aerial Vehicles (UAVs) is hampered by the challenge of accurately segmenting multi-damage in high-resolution imagery. While foundational models like the Segment Anything Model (SAM) offer data-efficient segmentation, their effectiveness is constrained by prompting strategies, especially for geometrically complex defects. This paper presents a comprehensive comparative analysis of deep learning strategies to identify an optimal deep learning pipeline for segmenting cracks, efflorescences, and exposed rebars. It systematically evalua

View details →DOI: 10.3390/s25216568Cited by 9
Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology

Ten-year update of HOBOE phase III trial comparing triptorelin plus either tamoxifen or letrozole or zoledronic acid + letrozole in premenopausal hormone receptor-positive early breast cancer patients

Adriano Gravina, P. Gargiulo, Michelino De Laurentiis et al. · 2025 · ESMO Open

BACKGROUND: The Hormonal Bone Effects (HOBOE) study tested whether adjuvant triptorelin plus either letrozole (L) or zoledronic acid (Z) plus L (ZL) was more effective than tamoxifen (T) in premenopausal patients with hormone…

View details →DOI: 10.1016/j.esmoop.2024.104085Cited by 9
Negative / Null Result ReportOpen accessPhysics and Astronomy

Unraveling the Relaxation Dynamics of Uracil: Insights from Time-Resolved X-ray Photoelectron Spectroscopy

Davide Faccialà, M. Bonanomi, Bruno Nunes Cabral Tenorio et al. · 2025 · Journal of the American Chemical Society

High Resolution Image Download MS PowerPoint Slide We report a study of the electronic and nuclear relaxation dynamics of the photoexcited RNA base uracil in the gas phase using time-resolved core-level photoelectron spectroscopy together with high-level calculations. The dynamics was investigated by trajectory surface hopping calculations, and the core ionization energies were calculated for geometries sampled from these. The molecule was excited by a UV laser and dynamics probed on the oxygen, nitrogen, and carbon sites by core electron spectroscopy. We find that the main de-excitation chann

View details →DOI: 10.1021/jacs.5c04874Cited by 9
Negative / Null Result ReportOpen accessAgricultural and Biological Sciences

Mycotoxins and the Intestinal Epithelium: From Barrier Injury to Stem Cell Dysfunction

Wenying Huo, Yingying Qiao, Xiangru He et al. · 2025 · Toxins

Mycotoxins are toxic secondary metabolites produced by filamentous fungi that contaminate agricultural commodities, posing risks to food safety, animal productivity, and human health. The gastrointestinal tract is the first and most critical site of exposure, where the intestinal epithelium functions as both a physical and immunological barrier against luminal toxins and pathogens. While extensive research has demonstrated that mycotoxins disrupt epithelial integrity through tight junction impairment, oxidative stress, apoptosis, and inflammation, their effects on the intestinal stem cell (ISC

View details →DOI: 10.3390/toxins17110534Cited by 9