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The Heterogeneity of Type 1 Diabetes: Implications for Pathogenesis, Prevention, and Treatment-2024 Diabetes, Diabetes Care, and Diabetologia Expert Forum.

This article summarizes the current understanding of the heterogeneity of type 1 diabetes from a June 2024 international Expert Forum organized by the editors of Diabetes, Diabetes Care, and Diabetologia. The Forum reviewed key factors contributing to the development and progression of type 1 diabetes and outlined specific, high-priority research questions. Knowledge gaps were identified, and, notably, opportunities to harness disease heterogeneity to develop personalized therapies were outlined. Herein, we summarize our discussions and review the heterogeneity of genetic risk and immunologic and metabolic phenotypes that influence and characterize type 1 diabetes progression (presented as a palette of risk factors). We discuss how these age-related factors determine disease aggressiveness (along gradients) and describe how variable immunogenetic pathways aggregate (into networks) to affect β-cell and other pancreatic pathologies to cause clinical disease at different ages and with variable severity (described as disease-related thresholds). Heterogeneity of pathogenesis and clinical severity opens avenues to prevention and intervention, including the potential of disease-modifying immunotherapy and islet cell replacement. We conclude with a call for 1) continued research to identify more factors contributing to the disease, both overall and in specific subgroups; 2) investigations focusing on both individuals who surpass metabolic and immune thresholds and develop diabetes and those who remain disease free with the same level of immunogenetic risk; and 3) efforts to identify where the current type 1 diabetes staging system may fall short and determine how it can be improved to capture and leverage heterogeneity in prevention and intervention strategies.

Humans

Genomic Screening for Infants and Reproductive Adults.

Recent progress in genomic sequencing, bioinformatics, cloud computation, and artificial intelligence is advancing a more mature understanding of the architecture of childhood genetic diseases. This knowledge and these technologies are enabling expanded genomic screening of infant and reproductive adult populations. With many new disease-modifying and curative therapies in development and approval processes, there exists unparalleled opportunity to identify, treat, and decrease the population burden of genetic disease and transform medical genetics. Broad implementation of genomic population screening, however, requires investments for overcoming remaining evidence gaps and operational challenges, and for delivery in a sustainable manner that is acceptable to parents, prospective parents, and physicians.

Journal Article

Astragalus membranaceus therapy in patients with spinocerebellar ataxia type 3.

BACKGROUND AND AIM: Spinocerebellar ataxia type 3 (SCA3) is the most common form of hereditary cerebellar ataxia. The insulin/insulin-like growth factor 1 (IGF1) system (IIS) has been proposed as a potential target for disease-modifying therapy. Astragalus membranaceus (AM) may modulate the IIS pathway and reduce neurodegeneration, as indicated by plasma neurofilament light chain (NfL), a biomarker of disease progression. EXPERIMENTAL PROCEDURE: A randomized, triple-blind, placebo-controlled crossover trial was conducted in 32 patients with SCA3. Participants received AM or placebo for three months, followed by a one-month washout, then crossed over to the alternate treatment. Plasma NfL and IIS-related markers were measured. Twenty-three participants completed the trial. RESULTS AND CONCLUSION: Intention-to-treat analysis revealed a modest within-treatment reduction in NfL levels (27.6 ± 10.7 vs. 25.6 ± 9.8 pg/mL, P = 0.040) and increased insulin (12.5 ± 15.2 vs. 21.1 ± 15.5 μIU/mL, P = 0.004) after AM. However, the adjusted regression model showed no significant between-treatment difference in NfL (P = 0.127), and changes in NfL were not correlated with insulin. No significant changes were observed in IGF1 or IGF-binding proteins. Exploratory subgroup analyses suggested larger biomarker changes in later-stage patients. No carryover effects or demographic differences were noted. Overall, AM administration was associated with modest within-treatment biomarker changes in NfL and insulin, although the adjusted between-treatment difference in NfL was not statistically significant. These findings should be interpreted cautiously as preliminary and hypothesis-generating observations rather than confirmatory evidence of therapeutic efficacy.

Astragalus membranaceus

Tau uptake by human neurons depends on receptor LRP1 and kinase LRRK2.

Extracellular release and uptake of pathogenic forms of the microtubule-associated protein tau contribute to the pathogenesis of several neurodegenerative diseases, including Alzheimer's disease. Defining the cellular mechanisms and pathways for tau entry to human neurons is essential to understanding tauopathy pathogenesis and enabling the rational design of disease-modifying therapeutics. Here, whole-genome, loss-of-function CRISPR screens in human iPSC-derived excitatory neurons, the major neuronal cell type affected in these diseases, provide insights into the different cellular pathways for uptake of extracellular monomeric and fibrillar tau. Monomeric and fibrillar tau are both taken up by human neurons by receptor-mediated endocytosis, but involve different routes of entry at the neuronal surface: the low-density lipoprotein LRP1 is the primary receptor for monomeric tau, but contributes less to fibrillar tau entry. Similarly, endocytosis of monomeric tau is dependent on the familial Parkinson's disease gene LRRK2, but not required for endocytosis of fibrillar tau. These findings implicate LRP1 and LRRK2 in the pathogenesis of tauopathies and Parkinson's disease, and identify LRRK2 as a potential therapeutic target for altering progression of these diseases.

Humans

GFPT1 as a cross-ancestry validated target for degenerative spinal disease: genetic association in a Chinese cohort and functional characterization in zebrafish.

Degenerative spinal disease (DSD), including spinal stenosis and spondylosis, lacks effective pharmacological treatment. To identify druggable targets and assess cross-ancestry applicability, we integrate multi-omics analyses using Summary-data-based Mendelian Randomization (SMR), colocalization, and two-sample Mendelian randomization with European whole-blood, peripheral-blood, and CSF eQTL/pQTL datasets, followed by whole-genome sequencing (WGS) validation in a Chinese cohort. We identify 7 genes/proteins associated with spinal stenosis and 5 with spondylosis, with GFPT1, GPX1, and SERPINA1 shared by both. Two-sample MR further supports the causal associations of these targets with DSD. Phenome-wide MR prioritization selects GFPT1 and GPX1 as favorable candidates with no predicted adverse effects and potential beneficial effects on hypertension. In the Chinese cohort (67 lumbar spinal stenosis patients and 100 controls), WGS identifies 4 GFPT1 cis-eQTL loci (rs13016371, rs35392088, rs12997521, and rs13019789) associated with lumbar spinal stenosis risk; all risk alleles are linked to increased GFPT1 expression, and all 24 variant carriers show L4/L5 stenosis on imaging. Druggability analysis identifies IOX1 as the sole preclinical-stage compound targeting GFPT1, and molecular docking supports robust binding to GFPT1 (- 6.39 kcal/mol). Functional assays show that IOX1 directly inhibits GFPT1 enzymatic activity and induces fructose-6-phosphate accumulation. In zebrafish, IOX1 significantly rescues GFPT1-induced degenerative phenotypes. These findings establish GFPT1 as a cross-ancestry validated therapeutic target for DSD and nominate IOX1 as a promising disease-modifying candidate.

Animals

Mitochondrial resilience: a convergent framework for pathogenesis and neuroprotection in Parkinson's disease.

Parkinson's disease (PD) is traditionally described as a dopaminergic neurodegenerative disorder driven by α-synuclein aggregation and selective neuronal loss in the substantia nigra pars compacta. While this characterization captures the core clinical and pathological features, it does not fully explain disease initiation and progression. Converging evidence from human genetics, cellular and structural biology, and systems neuroscience now supports a unified framework in which PD results from the progressive erosion of mitochondrial resilience. Here, mitochondrial resilience denotes the capacity of neuronal mitochondrial networks to withstand stress and recover bioenergetic and cellular homeostasis through coordinated quality control, metabolic adaptation, and organelle communication. Rare, high-impact monogenic mutations in PINK1, PRKN (encoding Parkin), PARK7 (DJ-1), LRRK2, and SNCA, along with common risk variants identified in genome-wide association studies, converge on interconnected pathways that govern mitochondrial quality control, bioenergetics, organelle dynamics, and cellular stress responses. These vulnerabilities are most pronounced in the highly energetic dopaminergic neurons of the substantia nigra, where sustained calcium cycling, high bioenergetic demand, and environmental stressors increase cellular susceptibility. Research has moved beyond early observations of respiratory chain impairment and oxidative stress to reveal context-specific disruptions in PINK1/Parkin-mediated mitophagy, lysosomal trafficking, mitochondrial-derived vesicle dynamics, and neuroimmune signaling. This integrated framework reframes PD as a disorder of impaired cellular maintenance rather than solely a consequence of late-stage degenerative processes. It provides a translational shift from mechanism-based biomarkers to early detection of mitochondrial failure and supports therapeutic strategies aimed at restoring mitochondrial function and resilience, offering a direct route to disease-modifying neuroprotection in PD and potentially other neurodegenerative disorders.

LRRK2

Precision Medicine in Transfusion-Dependent and Non-Transfusion-Dependent β-Thalassemia: Toward Personalized Diagnosis and Therapy.

β-thalassemia comprises a clinically heterogeneous group of disorders in which anemia severity, transfusion exposure, iron loading, and organ complications vary widely among individuals. This structured narrative review summarizes practical applications of precision medicine in transfusion-dependent thalassemia (TDT) and non-transfusion-dependent thalassemia (NTDT), with explicit attention to which strategies apply to each clinical category. Literature indexed in PubMed and Scopus from 2000 to 2025 was reviewed using terms related to thalassemia, precision medicine, magnetic resonance imaging (MRI), chelation tailoring, next-generation sequencing (NGS), fetal hemoglobin (HbF) modifiers, luspatercept, mitapivat, hepcidin, gene therapy, gene editing, and artificial intelligence (AI). Evidence was synthesized descriptively because interventions, outcomes, and populations were heterogeneous, and no pooled meta-analysis was performed. In TDT, precision care is centered on individualized transfusion planning, extended red-cell antigen matching, MRI-guided cardiac and hepatic iron monitoring, organ-directed chelation intensification, and selection of disease-modifying or curative approaches. In NTDT, precision care emphasizes accurate phenotype classification, MRI liver iron concentration, because serum ferritin may underestimate iron burden, selective chelation, surveillance for NTDT-specific complications, and individualized use of agents that improve anemia. Personalized chelation should include deferiprone, either alone or in combination, when cardiac iron is increased. Comprehensive molecular diagnosis should include HBB together with HBA1 and HBA2 assessment, while secondary and tertiary modifiers help explain phenotypic variability and complication risk. Hepcidin and growth differentiation factor 15 (GDF-15) are discussed as investigational biomarkers; transferrin saturation is not recommended for routine iron-overload assessment in thalassemia. AI currently has its strongest role in screening and diagnosis, whereas risk-stratification models remain exploratory. Equitable implementation requires standardized TDT/NTDT pathways, regional MRI and genomics access, longitudinal registries, and multidisciplinary interpretation.

Humans

Design of the SPIROMICS Study of Early COPD Progression: SOURCE Study.

BACKGROUND: The biological mechanisms leading some tobacco-exposed individuals to develop early-stage chronic obstructive pulmonary disease (COPD) are poorly understood. This knowledge gap hampers development of disease-modifying agents for this prevalent condition. OBJECTIVES: Accordingly, with National Heart, Lung and Blood Institute support, we initiated the SubPopulations and InteRmediate Outcome Measures In COPD Study (SPIROMICS) Study of Early COPD Progression (SOURCE), a multicenter observational cohort study of younger individuals with a history of cigarette smoking and thus at-risk for, or with, early-stage COPD. Our overall objectives are to identify those who will develop COPD earlier in life, characterize them thoroughly, and by contrasting them to those not developing COPD, define mechanisms of disease progression. METHODS/DISCUSSION: SOURCE utilizes the established SPIROMICS clinical network. Its goal is to enroll n=649 participants, ages 30-55 years, all races/ethnicities, with ≥10 pack-years cigarette smoking, in either Global initiative for chronic Obstructive Lung Disease (GOLD) groups 0-2 or with preserved ratio-impaired spirometry; and an additional n=40 never-smoker controls. Participants undergo baseline and 3-year follow-up visits, each including high-resolution computed tomography, respiratory oscillometry and spirometry (pre- and postbronchodilator administration), exhaled breath condensate (baseline only), and extensive biospecimen collection, including sputum induction. Symptoms, interim health care utilization, and exacerbations are captured every 6 months via follow-up phone calls. An embedded bronchoscopy substudy involving n=100 participants (including all never-smokers) will allow collection of lower airway samples for genetic, epigenetic, genomic, immunological, microbiome, mucin analyses, and basal cell culture. CONCLUSION: SOURCE should provide novel insights into the natural history of lung disease in younger individuals with a smoking history, and its biological basis.

SPIROMICS

Proteomic analysis reveals early pathological defects in corticospinal motor neurons of a spastin model of hereditary spastic paraplegia, which are improved by NU-9 treatment.

Upper motor neuron (UMN) degeneration is a characteristic feature of hereditary spastic paraplegia (HSP), a genetically heterogeneous heritable neurodegenerative disorder resulting from mutations in over ninety genes. The mutations in the SPAST gene, which encodes the microtubule-severing protein spastin, are responsible for about 40% of all HSP cases. To date, the cellular and molecular mechanisms linking mutant spastin protein to UMN vulnerability in HSP patients remain unknown and there are no disease modifying therapies. To address this knowledge gap, we isolated pure populations of corticospinal motor neurons (CSMN; a.k.a. UMN in mice) from SPASTC448Y-UeGFP reporter mice at two pre-symptomatic time points and performed bottom-up proteomic analyses to reveal changes in their proteome that informs the underlying causes of their initial vulnerability. We find dynamic changes in their proteome and that limitations with cytoarchitectural integrity and stability of key organelles contribute to their neuronal vulnerability. Since the compound NU-9 was shown to improve similar cellular problems in CSMN that are diseased due to misfolded SOD1 toxicity and TDP-43 pathology, we further investigated its effect on the well-established pathological features of HSP that are recapitulated in the SPASTC448Y mice. We find that NU-9 treatment (100 mg/kg, for 100 days) significantly prevented degeneration of corticospinal axons, restored the integrity of mitochondria and endoplasmic reticulum, and reduced the presence of electron-dense accumulations in the CSMN of SPASTC448Y mice.

Animals

A third-generation, high-affinity biparatopic anti-tau antibody inhibits intracellular tau aggregation seeded by Alzheimer's brain extracts.

BACKGROUND: Tau immunotherapy has recently shown clinical promise but required high dosing. We developed NIDB-3101, a novel third-generation, high-affinity anti-tau biparatopic antibody designed for superior tau binding, aggregation inhibition, and extended half-life. METHODS: NIDB-3101 binds tau's microtubule-binding region and C-terminal domains. Various binding and cellular functional assays using recombinants, but more importantly human AD extracts were used to assess NIDB-3101 benefits. Half-life mutations impact was assessed via FcRn binding and cellular assays recycling. RESULTS: NIDB-3101 exhibited sub-nanomolar affinity, binding a broad spectrum of pathological tau species in AD homogenates, inhibited AD extracts-induced cellular effect compared to benchmark antibodies. Mutations enhanced hFcRn-mediated cellular recycling. CONCLUSIONS: NIDB-3101 captures a broad spectrum of pathological tau species leading to strong cellular efficacy using human AD extracts, supporting further clinical development as a potential disease-modifying therapy for AD and related tauopathies.

tau Proteins

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

In vivo epigenome editing reduces circulating lipids and attenuates atherosclerosis in mice.

Atherosclerotic cardiovascular disease remains the leading cause of global mortality, with hypercholesterolemia serving as a critical driver of atherogenesis. Although current lipid-lowering therapies substantially improve circulating lipid profiles, strategies that provide more durable, safe, and efficient control of lipid metabolism are still needed. Epigenome editing offers a promising approach for long-lasting repression of disease-modifying genes without altering the underlying DNA sequence. Here, we develop CRISPRoff platforms delivered by adeno-associated virus or lipid nanoparticle to epigenetically silence hepatic Hmgcr or Pcsk9 in vivo. In both C57BL/6J wild-type and ApoE-/- mice, CRISPRoff mediates robust and durable repression of these targets, leading to marked reductions in circulating total cholesterol, low-density lipoprotein cholesterol, and triglycerides. In the ApoE-/- context, epigenetic silencing of Pcsk9 confers pronounced vascular protection, including decreased lipid accumulation in the liver and aortic root, reduced necrotic core formation, diminished macrophage infiltration, and enhanced plaque stability. Together, these results provide proof of principle that CRISPRoff-based epigenome editing enables stable repression of clinically relevant targets and ameliorates key features of atherosclerotic disease. This work lays the foundation for broader therapeutic applications of epigenetic modulation in cardiovascular disorders.

Animals

Retinal Proteome Profiling of Inherited Retinal Degeneration Across Three Different Mouse Models Suggests Common Drug Targets in Retinitis Pigmentosa.

Inherited retinal degenerations (IRDs) are a leading cause of blindness among the population of young people in the developed world. Approximately half of IRDs initially manifest as gradual loss of night vision and visual fields, characteristic of retinitis pigmentosa (RP). Due to challenges in genetic testing, and the large heterogeneity of mutations underlying RP, targeted gene therapies are an impractical largescale solution in the foreseeable future. For this reason, identifying key pathophysiological pathways in IRDs that could be targets for mutation-agnostic and disease-modifying therapies (DMTs) is warranted. In this study, we investigated the retinal proteome of three distinct IRD mouse models, in comparison to sex- and age-matched wild-type mice. Specifically, we used the Pde6βRd10 (rd10) and RhoP23H/WT (P23H) mouse models of autosomal recessive and autosomal dominant RP, respectively, as well as the Rpe65-/- mouse model of Leber's congenital amaurosis type 2 (LCA2). The mice were housed at two distinct institutions and analyzed using LC-MS in three separate facilities/instruments following data-dependent and data-independent acquisition modes. This cross-institutional and multi-methodological approach signifies the reliability and reproducibility of the results. The large-scale profiling of the retinal proteome, coupled with in vivo electroretinography recordings, provided us with a reliable basis for comparing the disease phenotypes and severity. Despite evident inflammation, cellular stress, and downscaled phototransduction observed consistently across all three models, the underlying pathologies of RP and LCA2 displayed many differences, sharing only four general KEGG pathways. The opposite is true for the two RP models in which we identify remarkable convergence in proteomic phenotype even though the mechanism of primary rod death in rd10 and P23H mice is different. Our data highlights the cAMP and cGMP second-messenger signaling pathways as potential targets for therapeutic intervention. The proteomic data is curated and made publicly available, facilitating the discovery of universal therapeutic targets for RP.

Animals

Clinical Phenotype and Prognosis of Asymptomatic Patients With Transthyretin Cardiac Amyloid Infiltration.

IMPORTANCE: Patients with transthyretin (ATTR) cardiac amyloid infiltration are increasingly diagnosed at earlier disease stages with no heart failure (HF) symptoms and a wide range of cardiac amyloid infiltration. OBJECTIVE: To characterize the clinical phenotype and natural history of asymptomatic patients with ATTR cardiac amyloid infiltration. DESIGN, SETTING, AND PARTICIPANTS: This cohort study analyzed data of all patients at 12 international centers for amyloidosis from January 1, 2008, through December 31, 2023. Inclusion criteria were asymptomatic ATTR cardiac amyloid infiltration, defined as an absence of HF history, HF signs and symptoms, diuretic therapy, and plasma cell dyscrasia with evidence of myocardial uptake on bone scintigraphy. If plasma cell dyscrasia was present, histologic confirmation of ATTR amyloid was required. EXPOSURE: Asymptomatic ATTR cardiac amyloid infiltration. MAIN OUTCOMES AND MEASURES: The primary outcomes were all-cause and cardiovascular (CV) mortality. The secondary outcomes were unplanned HF hospitalization, unplanned CV-related hospitalization, and a composite outcome of CV mortality and HF hospitalization. RESULTS: The study comprised 485 patients with asymptomatic ATTR cardiac amyloid infiltration (mean [SD] age, 74.9 [9.9] years, 85.8% male, 112 [23.1%] with hereditary ATTR amyloidosis), with 369 (76.1%) having grade 2 or 3 and 116 (23.9%) having grade 1 cardiac uptake at baseline. Patients with grade 2 or 3 uptake exhibited significantly more cardiac functional and structural abnormalities vs patients with grade 1 uptake. At 3 years, compared with grade 1 uptake, patients with grade 2 or 3 uptake had greater development of HF (54.3% [95% CI, 47.7%-61.3%] vs 23.1% [95% CI, 14.8%-35.1%]), greater outpatient diuretic initiation and N-terminal pro-B-type natriuretic peptide progression (35.0% [95% CI, 28.0%-43.2%] vs 12.4% [95% CI, 6.3%-23.7%]), and greater HF hospitalization (8.7% [95% CI, 5.9%-12.9%] vs 0%) and unplanned CV hospitalization (20.0% [95% CI, 15.7%-25.3%] vs 4.3% [95% CI, 1.6%-11.3%]). Over a median follow-up of 37 months (IQR, 20-64 months), the all-cause death rate was similar between patients with grade 1 vs 2 and 3 uptake; however, those with grade 2 or 3 compared with grade 1 uptake had a significantly higher risk of CV mortality (unadjusted hazard ratio, 5.30; 95% CI, 1.92-14.65). CONCLUSIONS AND RELEVANCE: This study shows that asymptomatic ATTR cardiac amyloid infiltration encompasses a wide spectrum of disease severity, with patients with grade 2 or 3 cardiac uptake experiencing an increased rate of CV events and CV mortality and patients with grade 1 uptake experiencing a lower CV event rate and predominantly non-CV mortality. These findings support the use of disease-modifying treatments in asymptomatic patients with grade 2 or 3 uptake and highlight the need of large-scale studies to assess their role in grade 1 uptake.

Humans

Progress towards a biotypic biomarker profile for amyotrophic lateral sclerosis-frontotemporal spectrum disorders.

Determining the optimal timing of disease-modifying therapies for neurodegenerative disorders will necessitate identification of when the underlying pathobiological process becomes active, well in advance of the point at which clinical manifestions appear. Phenoconversion, the emergence of clinically manifest syndomes, may be preceded by years to decades of silent pathobiological activity that can only be mapped by an array of biomarkers. ALS and FTD, traditionally identified as distinct clinical syndromes, are increasingly recognized to exist along a spectrum of clinical syndromes with shared genetic risk and shared underlying pathology. This clinicopathological spectrum is underpinned by cytoplasmic aggregation of TAR DNA-binding protein 43 (TDP-43) as the common neuropathological hallmark. In contrast, the majority of neuropathologically-defined frontotemporal lobar degeneration (FTLD) is associated with alterations in either TDP-43 metabolism (FTLD-TDP) or of the microtubule associated protein tau (FTLD-tau), with a smaller percentage associated with either autosomal dominant genetic mutations or impairments in the ubiquitin proteasome system. As the field of neurodegenerative disorders increasingly shifts towards the frameworks of a pathobiological definition of disease, there is a growing imperative to develop biomarkers that reflect the varied pathobiologies that underly these disorders, and to determine the sensitivity of such biomarkers to detect the presence of these pathobiologies before phenoconversion. To that end, an international workshop was convened in London, Canada in 2025 to review the evidence for existing or evolving biomarkers suitable for (1) the detection of either ALS or FTD pathobiology prior to phenoconversion and/or (2) predict phenoconversion in at risk individuals. Such biomarkers might be conceptualized as "biotypic biomarkers", capturing their ability to describe an underlying pathophysiology whilst being agnostic to the emergent clinical manifestations. Whereas no single biotypic marker is yet able to predict the emergence of ALS, FTD or their intersection, a multimodal approach to developing a biotypic biomarker profile holds promise for the detection of relevant pathobiological processes. The strength of such an approach would be augmented by also addressing issues of resiliency/susceptibility both in terms of genetic risk susceptibility profiles and developing sensitive biomarkers of genomic and cellular aging. By including such nontraditional markers of disease, a more robust picture of not only the degenerative process but also of those factors that might potentially mitigate or drive a heightened probability of disease can be derived.

cryptic exons

Project Sickle Cure: A Prospective, International Observational Study of Hematopoietic Cell Transplantation for Sickle Cell Disease.

BACKGROUND: Sickle cell disease (SCD) is a chronic and life-limiting hemoglobin and systemic vascular disease. While over 1000 people have undergone hematopoietic cell transplantation (HCT) over the last 40 years, long-term disease-specific and health-related quality of life data are lacking. The American Society of Hematology 2021 Guidelines for SCD emphasized the need for more detailed registry data to inform patients and providers with decision-making and practice recommendations. PROCEDURES: In January 2021, the Sickle Cell Transplant Advocacy and Research Alliance (STAR) launched Project Sickle Cure (PSC). This multi-center, prospective study of patients who have undergone HCT for SCD includes baseline demographics and SCD-specific post-HCT outcomes, serial neurocognitive testing, health-related quality of life measures, health equity evaluations, a neuroimaging bank, detailed evaluation of neurologic status pre- and post-transplant, and chronic pain evaluation. A biorepository is in the planning stage of development. RESULTS: As of November 2025, 115 participants have enrolled at 18 STAR sites with enrollment ongoing. CONCLUSIONS: PSC is a STAR prospective study which will address a major gap in our understanding of outcomes post-HCT specific to SCD. WeDecide, a larger study comparing HCT health-related quality of life outcomes to those who receive non-transplant disease modifying therapy (NT-DMT) is in development, and PSC will provide the HCT comparator data. These data will also be highly relevant as other curative and transformative therapies, such as gene therapy, become more widely used.

Humans

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)

Exposome influences: a multi-omics perspective on the combined toxic effects of pharmaceuticals and personal care products in Alzheimer's disease.

According to WHO data, approximately 57 million people worldwide were affected by dementia in 2021, with prevalence projected to rise. Alzheimer's disease (AD), responsible for 60%-80% of dementia cases, continues to be a leading cause of mortality, with current treatments offering limited efficacy and disease-modifying therapies lacking widespread adoption or conclusive safety evidence, shifting the focus toward prevention and risk modification. Risk factors for AD include both non-modifiable elements, such as age, genetics, and gender, and modifiable factors, like environmental pollution, health status, and diet. While age remains the primary non-modifiable risk factor, early-onset dementia represents only up to 9% of cases. Addressing modifiable factors is essential, as it could prevent or delay almost half of dementia cases, with interventions-such as increased physical activity, smoking cessation, alcohol limitation, and overall health management-being significantly associated with a reduced risk. In this context, the exposome approach offers a comprehensive, integrative framework in which both modifiable and non-modifiable risk factors interact to influence individual susceptibility. Within the neural exposome, chronic low-dose exposure to xenobiotics-such as industrial chemicals, pesticides, metals, pharmaceuticals and personal care products (PPCPs), and air pollutants-may induce neurodegeneration via mechanisms including oxidative stress, neuroinflammation, proteinopathies, and epigenetic modifications, although establishing causality remains challenging. Integration of genomics, transcriptomics, proteomics, metabolomics, and lipidomics, combined with artificial intelligence (AI) techniques such as machine learning (ML) and deep learning (DL), provides promising avenues for biomarker discovery, enhanced preventive strategies, early non-invasive diagnosis, and therapeutic target identification by integrating multi-layered biological data with exposure profiles. This review highlights emerging AD risk factors-including PPCPs-underscoring complex, multifactorial nature of AD and exposome, and the requirement for an interdisciplinary research approach, while also addressing several critical research gaps and methodological limitations.

Alzheimer’s disease