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At least 19 recordsLinked to original sources
PubMed2026

Temporal mismatch in allogeneic iPSC therapies: biological risks and implications for clinical translation.

INTRODUCTION: The clinical translation of pluripotent stem cell-derived therapies has entered a new phase following conditional approval of first-in-class allogeneic induced pluripotent stem cell (iPSC)-derived products in Japan. These approvals highlight both the therapeutic promise of iPSC technologies and regulatory challenges associated with evaluating complex cell-based interventions. AREAS COVERED: This report examines the evidentiary basis supporting recent approvals and reviews key biological characteristics of allogeneic iPSC-derived therapies, including pluripotency-associated instability, immunological constraints, and manufacturing-related genomic variability. Drawing on recent clinical studies and relevant experimental literature, we analyze how these multilayered risks evolve over extended time horizons and assess their implications for the interpretation of early-phase clinical data and current regulatory frameworks. EXPERT OPINION: We argue that the central challenge extends beyond limited clinical evidence to a fundamental mismatch between the temporal dynamics of biological risk and the duration of conventional clinical evaluation. As a result, early clinical observations may systematically underestimate long-term risks. Conditional approval pathways should therefore incorporate safeguards aligned with this temporal uncertainty, including long-term follow-up, rigorous post-approval evaluation, and enhanced transparency in biological and manufacturing data. Aligning regulatory design with intrinsic properties of pluripotent stem cell-derived therapies will be essential for ensuring safe and responsible clinical translation.

Humans↗
PubMed2005

Assessment of systolic and diastolic ventricular properties via pressure-volume analysis: a guide for clinical, translational, and basic researchers.

Assessment of left ventricular systolic and diastolic pump properties is fundamental to advancing the understanding of cardiovascular pathophysiology and therapeutics, especially for heart failure. The use of end-systolic and end-diastolic pressure-volume relationships derived from measurements of instantaneous left ventricular pressure-volume loops emerged in the 1970s as a comprehensive approach for this purpose. As invasive and noninvasive techniques for measuring ventricular volume improved over the past decades, these relations have become commonly used by basic, translational, and clinical researchers. This review summarizes 1) the basic concepts underlying pressure-volume analysis of ventricular and myocardial systolic and diastolic properties, 2) deviations from ideal conditions typically encountered in real-life applications, 3) how these relationships are appropriately analyzed, including statistical analyses, and 4) the most common problems encountered by investigators and the appropriate remedies. The goal is to provide practical information and simple guidelines for accurate application and interpretation of pressure-volume data as they pertain to characterization of ventricular and myocardial properties in health and disease.

Animals↗
PubMed2026

Engineering extracellular vesicles for targeted siRNA delivery: Advances, therapeutic applications, and clinical translation.

Small interfering RNA (siRNA) therapeutics have emerged as a transformative approach for sequence-specific gene silencing, offering the potential to treat a broad spectrum of diseases by selectively suppressing disease-associated genes. However, the clinical translation of siRNA remains limited by rapid enzymatic degradation, poor cellular uptake, inadequate endosomal escape, and off-target effects, necessitating the development of efficient delivery systems. Extracellular vesicles (EVs) have gained considerable attention as natural nanocarriers owing to their excellent biocompatibility, low immunogenicity, intrinsic targeting capability, and ability to protect therapeutic cargo while traversing complex biological barriers. This review comprehensively discusses the biological characteristics of EVs, the molecular basis of RNA interference, and the major challenges associated with siRNA delivery [Fig. 1]. Recent advances in EV engineering, including cargo-loading strategies such as electroporation, sonication, extrusion, parent-cell engineering, and microfluidic approaches, together with surface functionalization using peptides, antibodies, aptamers, and hybrid nanoplatforms, are critically evaluated for improving targeting specificity and intracellular delivery. Furthermore, the therapeutic applications of engineered EV-mediated siRNA delivery in cancer, neurological disorders, liver diseases, cardiovascular diseases, inflammatory disorders, and infectious diseases are systematically summarized, highlighting their potential to enhance gene silencing while minimizing systemic toxicity. Current challenges related to large-scale manufacturing, cargo-loading efficiency, standardization, quality control, regulatory approval, and clinical translation are also discussed, together with emerging technologies involving synthetic biology, genome engineering, artificial intelligence, and multifunctional hybrid vesicles. Overall, engineered extracellular vesicles represent a highly versatile and biologically inspired platform for targeted siRNA delivery, providing a promising foundation for the development of next-generation precision RNA therapeutics and accelerating the clinical translation of gene-silencing strategies.

Extracellular vesicle engineering↗
PubMed1995

Translating clinical outcomes to patient value: an evidence-based treatment approach.

This is a summary report from An Evidence-Based Treatment Approach: Successful Regenerative Outcomes, Task Force 4, Translating Clinical Outcomes to Patient Value. It represents recommendations for translating the clinical benefits of regenerative therapies to value that the patient can understand and accept. A review of the evidence on translating clinical outcomes to patient value was presented to the task force for discussion. Then outcome criteria established by other task forces on clinical applications of regenerative therapy were used to evaluate the evidence. Published literature related to many different areas, such as clinician-patient communication, patient behavior, the role of other dental professionals, and organization of the practice and its processes, was included in this review. Outcomes charts and decision-making trees were developed to provide a framework for the recommendations of the task force. The ultimate objectives of this task force were to help the practitioner to clearly perceive the benefits that regeneration can provide to patients and to help the clinician to present the facts in a manner that will increase patients' acceptance of the recommended treatment.

Bibliographies as Topic↗
PubMed2005

Translational clinical trials: an entropy-based approach to sample size.

Translational clinical trials are small studies of therapies emerging from the laboratory. These trials are essential for generating early evidence regarding the effects of treatment on specific targets in the disease pathway and for guiding the next studies to be done. The statistical properties of such studies have been neglected, in part, because they do not fit the well-known clinical trials developmental paradigm. This paper discusses the translational trial setting, and presents an information (entropy) based approach to understanding the properties and use of these trials. The combination of biological knowledge with a designed experiment (albeit a small one) is a powerful device for resolving much of the considerable uncertainty surrounding an emerging therapeutic concept. An approach to motivating the sample size for translational trials is presented.

Animals↗
PubMed2026

Gene therapy for genodermatoses at the crossroads of innovation and clinical translation.

Inherited genodermatoses are a heterogeneous group of rare monogenic disorders. Among these, epidermolysis bullosa (EB) and ichthyoses represent paradigmatic disorders characterized by severe skin fragility and hyperkeratosis, respectively, and impaired barrier function, often with profound effects on quality of life and systemic health. Current management remains largely palliative, underscoring the urgent need for disease-modifying therapies. Over the past 2 decades, advances in epithelial stem cell biology, vector engineering and genome editing technologies have transformed the therapeutic landscape for genodermatoses. Ex vivo gene therapy has provided the first proof that genetically corrected epidermal stem cells can achieve long-term tissue regeneration in EB skin patients, establishing a new paradigm for regenerative medicine. In parallel, the emergence of programmable genome engineering platforms, including CRISPR/Cas nucleases, base editors and prime editors, have enabled increasingly precise strategies for mutation-specific correction in both recessive and dominant disorders. Furthermore, the development of in vivo topical approaches is expanding the possibility of directly targeting the skin. Despite these advances, substantial translational barriers continue to limit broad clinical implementation. Efficient and durable targeting of epidermal stem cells within a highly regenerative tissue, together with safe delivery across the skin barrier, stringent control of off-target activity, scalable manufacturing and demonstration of long-term safety, remain major challenges for the clinical translation of these approaches. In this Review, we discuss the current state of gene therapy for genodermatoses, highlighting key clinical milestones, emerging genome editing technologies and next-generation delivery systems. We further examine the biological and regulatory challenges that need to be overcome to bridge the gap between experimental innovation and clinically accessible therapies for patients with inherited skin diseases.

epidermolysis bullosa (EB)↗
PubMed2025

Diabetes mellitus polygenic risk scores: heterogeneity and clinical translation.

Diabetes mellitus encompasses several disorders, each with differing clinical presentation, prognoses and pathophysiology. Distinct polygenic architectures underlie type 1 diabetes mellitus and type 2 diabetes mellitus, and govern numerous pathophysiological pathways that converge on dysglycaemia. Over the previous decade, polygenic risk scores (PRS) derived from large genome-wide association studies have become broadly recognized for their potential in precision medicine. PRS, and now partitioned polygenic scores generated by clustering of risk variants, can quantify individual genetic predisposition to diabetes mellitus and reveal molecular heterogeneity responsible for variation in clinical presentation and prognoses. In this Review, we examine and contrast progress in the development of type 1 diabetes mellitus PRS and type 2 diabetes mellitus PRS, and discuss paths to further methodological advances. We examine how studies in the past 10 years have harnessed PRS and novel partitioned polygenic scores to reveal insights into diabetes mellitus aetiology and characterize changes in cellular and tissue-specific disease-modifying molecular pathways. Additionally, we discuss advances and opportunities in areas of clinical translation, including improved classification of diabetes mellitus type, screening of those at risk and personalized interventions informed by PRS. Finally, we emphasize the urgent need to overcome ancestry-related challenges and highlight current progress and gaps in ensuring the equitable translation of PRS for diabetes mellitus precision medicine.

Humans↗
PubMed2003

Translating clinical tools in nursing practice.

BACKGROUND: The widespread use of clinical tools in nursing practice reflects their usefulness in guiding patient care, evaluating treatment effectiveness and conducting audit. Cultural awareness and the provision of culturally competent care is a high priority for nurses in the United Kingdom (UK), given patterns of increasing ethnic diversity. However, meeting the individual needs of patients can be difficult when language barriers hinder communication. One way to address these difficulties is to translate existing clinical tools. AIM: The aim of this paper is to appraise the potential for, and limitations of, translating clinical tools for use in nursing practice. DISCUSSION: Drawing on a range of studies from the disciplines of health and social science, this review describes and discusses some key considerations relevant to translating clinical tools in nursing. These considerations include the need to ensure cultural equivalence, lack of familiarity with clinical tool formats in some cultures and its impact on responses, and low literacy levels in some populations. CONCLUSION: Clinical tools provide benefits in identifying patients' problems, guiding patient care, and evaluating treatments and interventions. Translating these tools can help to bridge the language gap that hinders good communication between nurses and patients. Translated clinical tools can be of acceptable cultural equivalence and validity if high quality translation methodologies are employed, together with an awareness of culturally relevant issues when interpreting the information gained from the tools.

Communication Barriers↗
PubMed2026

Induced pluripotent stem cell reprogramming: methodological evolution and challenges in clinical translation.

Cell reprogramming can transform somatic cells into induced pluripotent stem cells providing a platform for patient-specific disease modeling, drug screening and regenerative medicine research. Since the advent of OKSM-mediated reprogramming, the system of technical approaches has evolved continuously - from integrated viral vectors to non-integrated episomal systems and, more recently, chemical reprogramming and CRISPR approaches. The simultaneous advances in single-cell multi-omics, biomaterials engineering, and artificial intelligence have further refined the controllability and precision of the reprogramming process. Despite these innovations, problems persist that hinder clinical translation: incomplete epigenetic resetting, ongoing clonal heterogeneity, genomic instability in long-term culture, and the lack of standardized Good Manufacturing Practice protocols for large-scale manufacturing. This review summarizes the trajectory of iPSC reprogramming technologies, with special emphasis on the translational applicability of each modality. We evaluated viral and nonviral delivery systems, chemical reprogramming, strategies that aid gene editing, and emerging engineering platforms, including microfluidics, smart biomaterials, and artificial-intelligence-driven process optimization. We further identify the core "translational triltrilas", namely, the inherent tradeoffs between security, homogeneity, and scalability, and propose a comprehensive strategy to overcome these bottlenecks. By linking basic mechanistic understandings with industrial and regulatory considerations, this review aims to provide a route for transitioning iPSC technology from a laboratory tool to a clinically viable manufacturing platform.

clinical translation↗
PubMed2026

An international framework for clinical translation of molecular classifiers in osteosarcoma.

Despite well-recognized biological heterogeneity, osteosarcoma has been treated as a single disease for over four decades with minimal improvement in survival. Clinical features are inadequate for risk stratification, and no molecular classifiers guide therapy. An international working group evaluated candidate prognostic biomarkers for clinical translation. Pre-treatment circulating tumor DNA is positioned for clinical implementation, while additional classifiers warrant prospective validation. This work establishes a path to risk-adapted, biologically informed treatment.

Journal Article↗
PubMed2026

Multi-omic biomarkers in cardiovascular disease: Discovery to clinical translation.

Cardiovascular disease (CVD) remains the leading cause of mortality worldwide, necessitating improved risk stratification and early detection strategies. Multiomics approaches that integrate genomics, transcriptomics, proteomics, metabolomics, and epigenomics offer unprecedented opportunities for biomarker discovery and precision medicine in cardiovascular care. This narrative review examines the current landscape of multiomics biomarkers for CVD, tracing their evolution from discovery to clinical translation. We synthesize evidence from recent studies evaluating the clinical utility of integrated omics approaches across diverse cardiovascular conditions, including atherosclerotic cardiovascular disease, heart failure, and atrial fibrillation. High-throughput proteomics has identified novel protein signatures that enhance cardiovascular risk prediction beyond traditional risk factors. Metabolomics has revealed pathway-specific biomarkers, including trimethylamine N-oxide and lipid species, associated with atherogenesis. Polygenic risk scores derived from genomic data demonstrate incremental value when combined with clinical risk scores. Multiomics biomarkers represent a transformative approach to cardiovascular risk assessment and disease management.

Humans↗
PubMed2005

Molecular and phenotypic analyses of human embryonic stem cell-derived cardiomyocytes: opportunities and challenges for clinical translation.

Differentiation of human embryonic stem cells (hESCs) into cardiomyocytes in culture may offer unique opportunities for modeling genetic disorders, screening potentially cardiotoxic pharmaceutical agents or replacing cells of the diseased heart. However, before clinical utility can be realized, numerous hurdles must be overcome. Comprehensive molecular and phenotypic characterization is required but has so far been restricted to cardiomyocytes derived from a limited subset of hESC lines. Thus, we have initiated analysis of cardiomyocyte differentiation and function from a further two independently derived lines, BG01 and HUES-7. The challenge of improving cardiac cell induction, enrichment and maturation must also be addressed to meet the demands of high throughput pharmaceutical screening or to provide sufficient cells to repair an infarcted heart. Transplanted cells must functionally integrate without inducing arrhythmias, while survival and evasion of immune surveillance must be accomplished without tumorigenicity. This review evaluates the opportunities presented by hESC-derived cardiomyocytes and the progress towards surmounting the challenges of clinical translation.

Cell Differentiation↗
PubMed2002

Clinical translation of gene expression profiling in lymphomas and leukemias.

Current lymphoma classification schemes that incorporate information on immunophenotype and genetic aberrations of the neoplastic cells represent a first attempt at a molecular diagnosis of these malignancies. Gene expression profiling using DNA microarrays promises to dramatically enhance molecular diagnosis by quantitating gene expression in tumor cells on a genomic scale. In this review, we focus on recent studies of diffuse large B-cell lymphoma (DLBCL) and chronic lymphocytic leukemia (CLL) that illustrate the effectiveness of gene expression profiling in defining molecularly distinct diseases. In DLBCL, germinal center B-like (GCB) and activated B-cell-like (ABC) subgroups differ in the expression of more than 1,000 genes and have a markedly different clinical outcome, suggesting that this diagnostic category includes at least two distinct molecular diseases. In CLL, by contrast, all cases express a characteristic set of genes, suggesting that CLL should be considered a single disease. Nonetheless, two subtypes of CLL exist that are distinguished by the presence or absence of immunoglobulin gene mutations, by the expression of approximately 175 genes, and by clinical course. Clinical translation of these results should be implemented initially in clinical trials where gene expression profiles could identify subsets of patients that are particularly responsive to the therapies being evaluated. As the armamentarium of molecularly targeted therapies expands, molecular diagnosis will be seen as an integral component of clinical management.

Gene Expression Profiling↗
PubMed2005

Clinical translation of epigenetics in cancer: eN-CORe--a report on the second workshop.

Recent advances in understanding the role that epigenetics plays in cancer pathogenesis and understanding the mechanisms through which these processes regulate gene expression have stimulated considerable interest in developing clinically viable antineoplastic agents that target enzymatic components of transcriptional regulatory complexes responsible for the establishment of pathologic epigenetic modifications that lead to deregulated gene expression in cancer. In January 2003, a workshop was held in Baltimore to discuss the therapeutic potential of several agents that can modify chromatin structure. A follow-up meeting on "Clinical Translation of Epigenetics in Cancer" was held in Charleston, SC, in January 2005. The aim of this workshop was to assess the progress that has been made over the past 2 years in bringing effective therapeutic protocols that use agents capable of reverting pathologic epigenetic changes into the clinic. The meeting was attended by approximately 70 investigators and included formal presentations, panel group discussions, and two break-out sessions that addressed targeted therapies in hematologic and solid tumors. The aim of this article is to summarize topics discussed at this workshop and highlight conclusions as to the immediate and long-term future of epigenetic therapy in cancer.

Animals↗
PubMed2026

Fatty acids and breast cancer: Epidemiology, subtype-specific metabolism, immune regulation, and clinical translation.

Fatty acids (FAs) are bioactive dietary and metabolic molecules that participate in membrane architecture, energy homeostasis, inflammatory signaling, gene regulation and immune function, all of which intersect with breast cancer (BC) risk, progression and treatment response. In this narrative review we integrate epidemiological, clinical, translational and mechanistic evidence on the role of FAs in BC. Saturated, monounsaturated, trans- and polyunsaturated FAs (PUFAs) are treated as distinct biological exposures rather than interchangeable measures of total fat intake. Similarly, evidence from dietary assessment, circulating biomarkers, erythrocyte membrane composition, adipose tissue stores and tumor lipid signatures is interpreted separately, because each captures exposure and biology at a different level. BC subtypes differ in FA synthesis, uptake, oxidation, storage and remodeling: luminal tumors are frequently linked to hormone-regulated lipogenesis, human epidermal growth factor receptor 2 (HER2)-positive tumors to growth-factor-driven lipid metabolism, and triple-negative tumors to exogenous FA uptake, inflammatory lipid mediators and ferroptosis-related vulnerabilities. FA-derived mediators also shape immune-cell polarization, cytokine signaling and the tumor microenvironment, and dietary FAs may reshape the gut microbiota; the fiber-derived short-chain FAs it produces, distinct from dietary FAs, likewise help regulate immune and inflammatory tone. Clinical data suggest possible roles for fat-quality modification and selected n-3 PUFA interventions, but findings are heterogeneous and not yet sufficient to support routine biomarker-guided precision onco-nutrition. Candidate biomarkers, such as erythrocyte n-6:n-3 composition, require prospective validation before clinical implementation. FA biology thus represents a modifiable but complex axis in BC prevention, tumor biology and supportive care.

Humans↗
PubMed2026

Biological Foundation Models for Complex Disease Research and Clinical Translation.

Complex diseases, including cancer, rare genetic disorders, neurodevelopmental and psychiatric conditions, and neurodegenerative diseases, arise from interactions among genetic variation, gene regulation, and cellular states that are difficult to capture using a single data type or biological scale. Biological foundation models address this challenge by treating nucleotides and genes as tokens and learning representations that can be transferred to downstream biomedical and clinical tasks. In this review, we examine two major model classes, genomic sequence foundation models and cell foundation models, and compare their tokenization strategies, model architectures, pretraining objectives, and adaptation methods. We summarize their emerging applications in regulatory variant interpretation, disease-associated cell-state analysis, drug-response prediction, and therapeutic target discovery across complex diseases. We distinguish applications supported by experimental or retrospective validation from those that remain primarily computational or conceptual. We further discuss key challenges to clinical translation, including multimodal data integration, model interpretability, benchmarking, patient-specific prediction, and privacy protection. We highlight future opportunities to integrate biological foundation models with emerging frameworks of medical digital twins, agentic AI, and federated learning. By linking model design to translational goals, this review provides a practical framework for evaluating biological foundation models and their readiness for complex disease research and clinical use.

biological foundation model↗
PubMed2006

The translational clinical practice system: a way to implement the evidence-based approach in the dental office.

Evidence-based decision-making in dental practice is challenging and rewarding. But for many clinicians, the evidence-based approach is an abstract and even theoretical idea that sounds good, but is not very practical. The Translational Clinical Practice System provides an overriding domain and a system within which the evidence-based approach may be more effectively utilized in clinical practice. Most would agree that using good evidence, information, and data as the basis for decisions are the starting points toward reaching the best results for the patient. However, there are clearly insufficiencies in the currently available best scientific evidence for many of the procedures patients need. The good news is that the evidence environment is improving and better quality information is becoming available in the office where it is needed. This article describes a logical and straightforward approach for clinicians to use in order to put together complex and often interwoven factors involved with patient care. Specific clinical examples are provided.

Databases as Topic↗