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Adams-Oliver Syndrome

Asta Literature Retrieval: Pathophysiology and clinical mechanisms of Adams-Oliver Syndrome. Core disease mechanisms, molecular and cellular pat...

2026-04-22
Asta MONDO:0007034 Model: Asta Scientific Corpus Retrieval 20 citations

Asta Literature Retrieval: Pathophysiology and clinical mechanisms of Adams-Oliver Syndrome. Core disease mechanisms, molecular and cellular pat...

This report is retrieval-only and is generated directly from Asta results.

  • Papers retrieved: 20
  • Snippets retrieved: 20

Relevant Papers

[1] 18O-assisted dynamic metabolomics for individualized diagnostics and treatment of human diseases

  • Authors: E. Nemutlu, Song Zhang, N. Juranic, A. Terzic, S. Macura et al.
  • Year: 2012
  • Venue: Croatian Medical Journal
  • URL: https://www.semanticscholar.org/paper/880f053c7f060db4b990e447d0a22c4b69372ddb
  • DOI: 10.3325/cmj.2012.53.529
  • PMID: 23275318
  • PMCID: 3541579
  • Citations: 28
  • Summary: The potential use of dynamic phosphometabolomic platform for disease diagnostics currently under development at Mayo Clinic is described and discussed briefly.
  • Evidence snippets:
  • Snippet 1 (score: 0.375) > Living cells represent an integrated and interacting network of genes, transcripts, proteins, small signaling molecules, and metabolites that define cellular phenotype and function. Traditionally the focus of biomedical research was on individual genes, single protein targets, single metabolites, and metabolic or signaling pathways. This "molecular reductionist" paradigm was based on the assumption that identifying genetic variations and molecular components would lead to discovery of cures for human diseases. However, most of diseases are complex and multi-factorial and the disease phenotype is determined by the alterations of multiple genes, pathways, proteins and metabolites (at cellular, tissue, and organismal levels). Therefore, an integrated "omics" approach is more viable direction for uncovering alterations in metabolic networks, disease mechanisms, and mechanisms of drug effects. > Recent advent of large-scale metabolomics and fluxomic (metabolite dynamics and metabolic flux analysis) completed the "omics revolution" (Figure 1), where genomics, transcriptomics, proteomics, metabolomics, and fluxomics all together complement phenotype determination of living organism. Such integrated "omics" cascades provide a framework for advances in system and network biology, integrative physiology, and system medicine as well as system pharmacology and regenerative medicine. Noteworthy is the "reverse omic" approach or "metabolomicsinformed pharmacogenomics, " where discovery of specific metabolite changes have led to discovery of genetic alterations (2). Therefore, bringing new "omics" technologies to clinical practice will improve disease diagnostics and treatment by targeting drugs and procedures for each unique transcriptomic and metabolomic profiles.

[2] The evolving burden of asthma and contemporary advances in management: Implications for clinical practice in Southern Africa

  • Authors: A. Kiboneka
  • Year: 2020
  • Venue: Unknown venue
  • URL: https://www.semanticscholar.org/paper/0ba536bc7dbea898dcaabe247c92c7897c7e059c
  • DOI: 10.30574/wjarr.2020.8.3.0315
  • Citations: 1
  • Summary: The development of novel asthma phenotyping & endo typing plus better classification of patients using machine learning and big data have markedly improved asthma treatment outcomes in both children and Adults, and several research groups have developed cluster analyses of phenotypes in severe asthma.
  • Evidence snippets:
  • Snippet 1 (score: 0.365) > Research Program (SARP) I and II cohorts to study mechanisms differentiating severe from non-severe asthma. SARP investigators characterized severe asthma as a heterogeneous syndrome with diverse molecular, biochemical, and cellular inflammatory features and structure-function abnormalities. > Adults and children with severe asthma were further categorized by unbiased statistical methods into clusters based on distinguishing clinical features. These studies have not been done in Sub-Sahara Africa. Research performed over the past one to two decades has sought to better understand the heterogeneous clinical nature of asthma. Whereas older attempts at phenotyping asthma emphasized the duality of allergic vs. non-allergic asthma, more recent non-biased analyses have attempted to cluster patients by a multitude of possible features, including age of onset, atopy, severity of airways obstruction, and requirement for medication. Examples of these phenotypes include early-onset mild allergic asthma, later-onset asthma associated with obesity, and severe non-atopic asthma with frequent exacerbations. The elucidation of asthma phenotypes has been further refined by including information regarding pathophysiologic mechanisms present in different groups. These groups, called endo-types, include examples such as aspirin-exacerbated respiratory disease and allergic bronchopulmonary mycosis. > A phenotype covers the clinically relevant properties of the disease, but does not show the direct relationship to disease etiology and pathophysiology. Different patho-genetic mechanisms might cause similar asthma symptoms and might be operant in a certain phenotype. These putative mechanisms are addressed by the term 'endotype'. > Classification of asthma based on endo-types provides advantages for epidemiological, genetic, and drug-related studies. A successful definition of endo-types should link key pathogenic mechanisms with the asthma phenotype. Thus, the identification of corresponding molecular biomarkers for individual pathogenic-mechanism underlying phenotypes or subgroups within a phenotype is important. > The term asthma encompasses a disease spectrum with mild to very severe disease phenotypes whose traditional common characteristic is reversible airflow limitation. Unlike milder disease, severe asthma is poorly controlled by the current standard of care.

[3] Towards Mutation-Specific Precision Medicine in Atypical Clinical Phenotypes of Inherited Arrhythmia Syndromes

  • Authors: T. Nakajima, S. Tamura, M. Kurabayashi, Y. Kaneko
  • Year: 2021
  • Venue: International Journal of Molecular Sciences
  • URL: https://www.semanticscholar.org/paper/3d299f57f344d42eff9d3565d1581dae7fb87a54
  • DOI: 10.3390/ijms22083930
  • PMID: 33920294
  • PMCID: 8069124
  • Citations: 6
  • Influential citations: 1
  • Summary: Since the epileptic phenotype appears to manifest prior to cardiac events in this mutation carrier, identifying KCND3 mutations in patients with epilepsy and providing optimal therapy will help prevent sudden unexpected death in epilepsy.
  • Evidence snippets:
  • Snippet 1 (score: 0.363) > Recent advances in molecular genetics have identified many causal genes for inherited arrhythmia syndromes (IASs) such as long QT syndrome (LQTS) [1], short QT syndrome (SQTS) [2], Brugada syndrome (BrS) [3,4] and early repolarization (ER) syndrome (ERS) [3,5]. Most causal genes for IASs encode cardiac ion channels or their related proteins. Genotype-phenotype studies and functional analyses of mutant genes, using heterologous expression systems and experimental animal models, have revealed the pathophysiology of IASs and enabled the establishment of causal gene-specific precision medicine [6][7][8]. Furthermore, analyses of patient-specific and/or genome-edited induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) have provided further insights into the pathophysiology of IASs and novel promising therapeutic strategies for IASs, although there are still some limitations of using iPSC-CMs, such as immature structure and function and mixed population of atrial, ventricular, and nodal cells, as a standard technology [9]. > The altered function of causal genes that encode cardiac ion channels is caused by multiple mechanisms, including trafficking defects, producing non-functional channels, altered channel gating properties, and a combination thereof. These altered functions of mutant channels underly the clinical phenotypes of IASs [10][11][12]. Particularly, unique electrophysiological properties of mutant channels have been shown to be associated with the atypical clinical phenotypes of IASs [10,13]. Furthermore, the elucidation of the mechanisms underlying the atypical clinical phenotypes of IASs has raised the possibility of mutation-specific precision medicine. > We herein review the current knowledge of genotype-phenotype relationships, underlying molecular and cellular mechanisms, and established pharmacological therapies of IASs, including LQTS, SQTS, and J wave syndrome (BrS and ERS).

[4] Changes in Serum Proteomic Profiles at Different Stages of Pregnancy Toxemia in Goats

  • Authors: M. Uzti̇mür, C. N. Ünal, Gurler Akpinar
  • Year: 2025
  • Venue: Journal of Veterinary Internal Medicine
  • URL: https://www.semanticscholar.org/paper/4b9c488b5dbd65d7b26fd2ad9aed70e8c4b59942
  • DOI: 10.1111/jvim.70139
  • PMID: 40492724
  • PMCID: 12150350
  • Summary: Understanding the serum proteome profiles of goats with pregnancy toxemia might help identify the proteomes and pathways responsible for the development of this disease and improve diagnosis and treatment.
  • Evidence snippets:
  • Snippet 1 (score: 0.352) > The pathophysiology and progression of this disease are not fully understood. > Traditional biomedical research has focused on the analysis of single genes, proteins, metabolites, or metabolic pathways in diseases. This molecular reductionist approach is based on the assumption that identifying genetic variations and molecular components will lead to new treatments for diseases [13][14][15][16]. However, many diseases are complex and multifactorial, and in order to determine the phenotype of such diseases, it is necessary to understand the changes that occur in more than one gene, pathway, protein, or metabolite at the cellular, tissue, and organismal levels [17][18][19]. Therefore, in recent years, proteomics, as one field of multi-omics technologies, has helped in evaluating the complex pathogenetic mechanisms of different diseases from a broad perspective and has made substantial contributions [20,21]. In veterinary medicine, proteomic analysis of metabolic diseases such as ketosis [16], hypocalcemia [22], and fatty liver [23] in dairy cows has contributed valuable insights for the definition of new pathophysiological pathways and new diagnosis and treatment protocols for these diseases. The proteomic approach can contribute importantly to a broad and detailed understanding of the changes that occur at the organismal level associated with the increase in BHBA concentration in goats with pregnancy toxemia. Our aim was to evaluate the serum protein profiles of goats with SPT or CPT using proteomic techniques to determine the proteomic profiles of these animals and to identify the relevant pathophysiological mechanisms.

[5] Therapies for Mitochondrial Disease: Past, Present, and Future

  • Authors: Megan Ball, Nicole J. Van Bergen, A. Compton, David R Thorburn, S. Rahman et al.
  • Year: 2025
  • Venue: Journal of Inherited Metabolic Disease
  • URL: https://www.semanticscholar.org/paper/196ee50a950f29bc4134cfb8fe6bdfa9a3a1468b
  • DOI: 10.1002/jimd.70065
  • PMID: 40714961
  • PMCID: 12301291
  • Citations: 3
  • Summary: The latest developments in the pursuit to identify effective treatments for mitochondrial disease are examined and the barriers impeding their success in translation to clinical practice are discussed.
  • Evidence snippets:
  • Snippet 1 (score: 0.352) > Mitochondrial disease is a diverse group of clinically and genetically complex disorders caused by pathogenic variants in nuclear or mitochondrial DNA‐encoded genes that disrupt mitochondrial energy production or other important mitochondrial pathways. Mitochondrial disease can present with a wide spectrum of clinical features and can often be difficult to recognize. These conditions can be devastating; however, for the majority, there is no targeted treatment. In the last 60 years, mitochondrial medicine has experienced significant evolution, moving from the pre‐molecular era to the Age of Genomics in which considerable gene discovery and advancement in our understanding of the pathophysiology of mitochondrial disease have been made. In the last decade, in response to the urgent need for effective treatments, a wide range of emerging therapies have been developed, driven by innovative approaches addressing both the genetic and cellular mechanisms underpinning the diseases. Emerging therapies include dietary intervention, small molecule therapies aimed to restore mitochondrial function, stem cell or liver transplantation, and gene or RNA‐based therapies. However, despite these advances, translation to clinical practice is complicated by the sheer genetic and clinical complexity of mitochondrial disease, difficulty in efficient and precise delivery of therapies to affected tissues, rarity of individual genetic conditions, lack of reliable biomarkers and clinically relevant outcome measures, and the dearth of natural history data. This review examines the latest developments in the pursuit to identify effective treatments for mitochondrial disease and discusses the barriers impeding their success in translation to clinical practice. While treatment for mitochondrial disease may be on the horizon, many challenges must be addressed before it can become a reality.

[6] Future research trends in understanding the mechanisms underlying allergic diseases for improved patient care

  • Authors: H. Breiteneder, Z. Diamant, T. Eiwegger, W. Fokkens, C. Traidl‐Hoffmann et al.
  • Year: 2019
  • Venue: Allergy
  • URL: https://www.semanticscholar.org/paper/e19b0755c4f4903f68377333676edebf9bd73c89
  • DOI: 10.1111/all.13851
  • PMID: 31056763
  • PMCID: 6973012
  • Citations: 90
  • Influential citations: 3
  • Summary: Recent developments in research and patient care and future trends in the discipline are reviewed and topics on food allergy, biologics, small molecules, and novel therapeutic concepts in allergen‐specific immunotherapy for airway disease are highlighted.
  • Evidence snippets:
  • Snippet 1 (score: 0.350) > The past decades have witnessed extensive progress in unraveling cellular and molecular mechanisms of immune regulation in asthma, allergic diseases, organ transplantation, autoimmune diseases, tumor biology, and chronic infections. 1,2 Consequently, a better understanding of the functions, the reciprocal regulation, and the counterbalance of subsets of immune and inflammatory cells but also structural cells-for example, epithelial and vascular cells, airway smooth muscle cells, neuroendocrine system-that interact via various intercellular messengers will indicate avenues for immune interventions and novel treatment modalities of allergic diseases and immunological disorders. It is generally expected that drug development in the next decades will show a significant shift from chemicals to biologicals. > After more than 20 years without any breakthrough drug becoming available for patients, several disciplines including allergology are now experiencing extraordinary times with the recent licensing of several major biological drugs and novel allergen-specific immunotherapy (AIT) vaccines. Several biological modifiers of the immune response targeting intracellular messengers or their receptors have been developed to date. [3][4][5][6][7][8] In addition, a number of promising small molecule drugs and vaccines are in the development pipeline. [9][10][11] This new era is now calling for the development of biomarkers and phenoand endotyping of diseases for customized patient care, which is termed stratified medicine, precision medicine, or personalized medicine. 4 Distinguishing phenotypes of a complex disease covers the observable clinically relevant properties of the disease but does not show a direct relationship to disease etiology and pathophysiology. In a complex condition, such as asthma, different pathogenetic mechanisms can induce similar clinical manifestations; however, they may require different treatment approaches. 12,13 These pathophysiological mechanisms underlying disease subgroups are addressed by the term "endotype." [12][13][14] Classification of complex diseases based on the concept of endotypes provides advantages for epidemiological, genetic, and drug-related studies. Accurate endotyping by using reliable biomarkers reflects the natural history of the disease and aims to predict the response to (targeted) treatments. 15 Recent studies have focused on better understanding

[7] New therapeutic targets in rare genetic skeletal diseases

  • Authors: M. Briggs, Peter A. Bell, M. Wright, K. A. Pirog
  • Year: 2015
  • Venue: Expert Opinion on Orphan Drugs
  • URL: https://www.semanticscholar.org/paper/1363107f71ae6d2d60abca471cddf3da5d13644b
  • DOI: 10.1517/21678707.2015.1083853
  • PMID: 26635999
  • PMCID: 4643203
  • Citations: 38
  • Influential citations: 1
  • Summary: An overview of disease mechanisms that are shared amongst groups of different GSDs and potential therapeutic approaches that are under investigation are described to generate critical mass for the identification and validation of novel therapeutic targets and biomarkers.
  • Evidence snippets:
  • Snippet 1 (score: 0.350) > proteins of the cartilage ECM such as type II collagen [50]. However, emerging knowledge suggests that the primary genetic defect may be less important than the cells' response to the expression of the mutant gene product [107]. Moreover, the largely overlooked response of a cell (i.e. chondrocyte) to the abnormal extracellular environment is also important for disease progression as illustrated by several GSDs discussed in this review. > It is important that 'omics'-based approaches and technologies are systematically applied to the study of rare GSDs so that definitive reference profiles and disease signatures are generated for each phenotype. These can then be used in a Systems Biology approach to identify both common and dissimilar pathological signatures and disease mechanisms. This approach is entirely dependent upon relevant in vitro and in vivo models (and also novel 'disease-mechanism phenocopies' [107]) for testing new diagnostic and prognostic tools and for determining the molecular mechanisms that underpin the pathophysiology so that effective therapeutic treatments can be developed and validated. This approach will eventually lead to personalized treatments and care strategies centred on shared disease mechanisms with the use of relevant biomarkers to monitor the efficacy of treatment and disease progression. > It is vital that all relevant stakeholders are involved from the outset in defining the appropriate outcomes of any potential therapeutic regime. The perceptions of a successful therapy can differ widely between the clinical academic community and the relevant patient-support groups and it is vital that there is engagement on all these issues. > In summary, the identification of causative genes and mutations for GSDs over the last 20 years, coupled with the generation and in-depth analysis of a plethora of relevant cell and mouse models, has derived new knowledge on disease mechanisms and suggested potential therapeutic targets. The fast-evolving hypothesis that clinically disparate diseases can share common disease mechanisms is a powerful concept that will generate critical mass for the identification and validation of novel therapeutic targets and biomarkers.

[8] Can network biology unravel the aetiology of congenital hyperinsulinism?

  • Authors: A. Stevens, K. Cosgrove, R. Padidela, M. Skae, P. Clayton et al.
  • Year: 2013
  • Venue: Orphanet Journal of Rare Diseases
  • URL: https://www.semanticscholar.org/paper/474ed97fdbb2a604459faa0b626a8b7d20ed6bf4
  • DOI: 10.1186/1750-1172-8-21
  • PMID: 23394473
  • PMCID: 3599136
  • Citations: 9
  • Influential citations: 1
  • Summary: A rational argument for the use of computational biology as a valuable resource for identifying new candidate genes which may cause disease and for understanding the complex mechanisms which define the pathophysiology of this rare disease is presented.
  • Evidence snippets:
  • Snippet 1 (score: 0.348) > Congenital Hyperinsulinism (CHI) is a rare disease, but is the most common cause of recurrent hypoglycaemia in infancy [1]. The treatment of CHI can be difficult and involves drugs which may not be successful and often are poorly tolerated. As a potentially life-threatening condition, CHI is associated with lifelong sequelae -including critical brain damage (epilepsy, cerebral palsy and neurological impairment) in up to 40% of cases. To date, nine candidate genes associate with CHI, but for the majority of patientsestimated to be approximately 65%, both the aetiology of the CHI and the mechanisms of disease are unknown. > Our current approach to the classification and treatment of CHI is based largely upon observational correlations between the pathological analysis of candidate gene defects and clinical symptoms of hypoglycaemia [1][2][3]. In this respect, there are similarities between CHI and many other diseases in which numerous mutations in different genes give rise to clinical phenotypes that are essentially indistinguishable from one another. However, under normal physiological conditions, cells function correctly because there is a high degree of interdependency between individual biochemical components (DNA, RNA, proteins and metabolites) and their complex interactions (DNA-protein interactions, protein-protein interactions, metabolic and biochemical pathways, etc.), and tissues function in a co-ordinated manner because there is interplay between different cell types. Diseases rarely result from an abnormality in a single gene, but are in fact the manifestation of disturbances in the multiple networks that integrate cellular processes, and those that link cells with tissues, and tissues with organ systems. As a result, current approaches to molecular diagnosis, however valuable, have shortcomings. These include a lack of sensitivity in identifying preclinical disease, a poor ability to predict prognosis, and ambiguity in defining and resolving a condition where several clinical phenotypes can be observed. All of these inadequacies are evident in CHI, with our current understanding of the causes of disease failing to distinguish transient from persistent disease at the point of presentation and to determine accurately the severity of disease.

[9] Precision Therapeutics in Lennox–Gastaut Syndrome: Targeting Molecular Pathophysiology in a Developmental and Epileptic Encephalopathy

  • Authors: Debopam Samanta
  • Year: 2025
  • Venue: Children
  • URL: https://www.semanticscholar.org/paper/455479c1bfbea7b90b73c109228f67c813d13888
  • DOI: 10.3390/children12040481
  • PMID: 40310132
  • PMCID: 12025602
  • Citations: 19
  • Influential citations: 1
  • Summary: A narrative review explores precision therapeutic strategies for LGS based on molecular pathophysiology, including channelopathies, receptor and ligand dysfunction, receptor and ligand dysfunction, cell signaling abnormalities, cell signaling abnormalities, synaptopathies, and the repurposing of existing medications with mechanism-specific effects.
  • Evidence snippets:
  • Snippet 1 (score: 0.347) > A key advantage of disease-modifying therapies is their potential to target pathogenic mechanisms early in the disease course, potentially preventing the progression of some infantile epileptic encephalopathies to LGS. > This narrative review explores precision therapeutic strategies based on specific monogenic causes and disease mechanisms relevant to LGS. A comprehensive literature search (PubMed, MEDLINE, ClinicalTrials.gov, conference abstracts from the American Academy of Neurology and American Epilepsy Society, and gray literature) was conducted through 19 February 2025 to identify established ASMs, repurposed and novel drugs, as well as various gene therapy approaches with potential relevance to LGS. Given that over 900 monogenic causes of DEEs have been identified-implicating diverse cellular components such as ion channels, receptors, synaptic proteins, signaling pathways, metabolic processes, and epigenetic regulators-this review discusses current and emerging precision therapeutics based on shared molecular mechanisms and the pathophysiology of select genes associated with LGS [17] (Table 1).

[10] Conceptualizing Epigenetics and the Environmental Landscape of Autism Spectrum Disorders

  • Authors: G. Torres, Mervat Mourad, Saba Iqbal, Emmanuel Moses-Fynn, Ashani Pandita et al.
  • Year: 2023
  • Venue: Genes
  • URL: https://www.semanticscholar.org/paper/bf76f0682a8a1986ce889cee1fef818480abc83b
  • DOI: 10.3390/genes14091734
  • PMID: 37761876
  • PMCID: 10531442
  • Citations: 11
  • Summary: The present work reviews recent evolutionary, molecular, and epigenetic mechanisms potentially linked to the etiology of autism, and presents a clinical vignette to describe clusters of maladaptive behaviors frequently diagnosed in autistic patients.
  • Evidence snippets:
  • Snippet 1 (score: 0.346) > Currently, there are hundreds of gene variants associated with the onset of ASD. Thus, the clinical presentation of the disease is highly variable, as one or more behavioral symptoms may be related to other comorbid conditions (e.g., anxiety disorder, seizure disorder) besides autism. In addition, antagonistic pleiotropy and dosage-sensitive genes further fragment the phenotypic characteristics of ASD. Regardless, here, we present a prototypical autism clinical vignette with five behavioral specifiers: cognitive disability; deficits in social-emotional reciprocity; repetitive or stereotyped motor behavior; improper coordinated language communication; and gastrointestinal distress. Underneath this clinical vignette, we microdissected and correlated a particular phenotype of the disease to functionally and anatomically related regions of the brain and bilateral body plan. The structural organization imposed here will not only identify a wide network of cells, but also specific clusters of genes targeting a particular symptom within behaviorally relevant regions. It is expected that such structural organization will help lay a solid foundation in psychiatry and point to more focused approaches to a deeper understanding of ASD and its individualized treatment (Table 2). Autism Spectrum Disorders can be managed with appropriate pharmacotherapy. Selective dopamine (DA) and serotonin (5HT) based drugs are the mainstay of pharmacological treatment [43,44]. Additional neurotransmitter systems (e.g., norepinephrine (NE) and histamine) are also drug targets. It is not known whether the listed drugs regulate epigenetic mechanisms to counteract autistic symptoms. What is broadly known is that atypical, typical and psychoactive drugs act on DA and 5HT signaling pathways within regions of the human brain (e.g., cortex and basal ganglia) that are behaviorally relevant to the pathophysiology of ASD. Attention Deficit Hyperactivity Disorder (ADHD) and Fragile X Syndrome are debilitating neuropsychiatric conditions commonly diagnosed in pediatric populations. Fragile X Syndrome is a monogenic inherited disease leading to cognitive disability and ASD.

[11] An overview on cardiac involvement in Inborn Errors of Metabolism: from clinical clues to nutritional management strategies

  • Authors: C. Montanari, V. Tagi, Martina Tosi, Eliana Stucchi, Eleonora Pisano et al.
  • Year: 2025
  • Venue: Frontiers in Cardiovascular Medicine
  • URL: https://www.semanticscholar.org/paper/53edcd65284033a78e81633fbeb8012f21599561
  • DOI: 10.3389/fcvm.2025.1648010
  • PMID: 41425985
  • PMCID: 12711851
  • Summary: This review examines nutritional strategies for managing patients affected by IEMs with cardiac involvement, providing clinicians with research-backed guidance to support cardiological care, since specific nutritional strategies have shown promise in reversing or improving cardiac function in specific IEMs.
  • Evidence snippets:
  • Snippet 1 (score: 0.345) > Approximately 10% to 30% of the known causes of cardiomyopathy in childhood are attributable to IEMs (10, 130,131). In IEMs, cardiac manifestations can be indicative symptoms discovered during regular multisystem screening. While in disorders like MPS, heart manifestations may dominate the clinical presentation, in others, such as PD, they represent the sole clinical manifestation. Four fundamental mechanisms underlie the pathophysiology of cardiac involvement. First, cardiac symptoms can be linked to a reduction in energy production resulting from genetic mutations in proteins involved in energy homeostasis, molecular transport, or cellular organelles. Second, the intracellular accumulation of intermediates or storage substrates within cardiac myocytes can lead to structural and functional damage of the cardiac tissue. Third, the accumulation of intermediate metabolites may exert toxic effects on cardiac and surrounding tissues, for example, by triggering apoptosis in cardiac myocytes. Fourth, altered cellular functions such as signal transduction, depolarization, and cell adhesion, caused by the absence or alteration of glyconjugates, can compromise tissue integrity and cardiac function. It is important to note that pathogenetic mechanisms, summarized in Figure 3, may often overlap, particularly in later stages of the illness progression (33). In this review, we offered a comprehensive description of the cardiovascular diseases primarily associated with various types of IEMs, to guide cardiologists in the differential diagnosis (Figure 4). Moreover, the diagnosis of an underlying metabolic disorder should rely on the recognition of associated signs and symptoms characteristic of each specific disease. > IEMs have a wide phenotypic spectrum and may be characterized by a late onset or mild organ involvement, remaining misdiagnosed. Following the diagnosis of heart complications, the cardiologist should first conduct a detailed investigation of the patient's and family's medical history, including an assessment of consanguinity and/or the presence of rare inherited disorders. The patient's history should include age of onset of each clinically relevant symptom, the presence of associated pathological conditions and/or symptoms (hypoglycemia, myalgia, neurological issues or liver problems) and the result of neonatal screening.

[12] Transcriptional profiling of Hutchinson-Gilford progeria patients identifies primary target pathways of progerin

  • Authors: Sandra Vidak, Sohyoung Kim, Tom Misteli
  • Year: 2026
  • Venue: Nucleus
  • URL: https://www.semanticscholar.org/paper/4bd99b0875508364d8672b6da5a50d024d485a53
  • DOI: 10.1080/19491034.2025.2611484
  • PMID: 41489464
  • PMCID: 12773485
  • Summary: To probe the clinical relevance of previously implicated cellular pathways and to address the extent of gene expression heterogeneity between patients, transcriptomic analysis of a comprehensive set of HGPS patients finds misexpression of several cellular pathways, including multiple signaling pathways, the UPR and mesodermal cell fate specification.
  • Evidence snippets:
  • Snippet 1 (score: 0.345) > Oxidative stress represents another key pathogenic mechanism in HGPS, as impaired NRF2 activity or increased reactive oxygen species (ROS) levels are sufficient to recapitulate HGPSassociated phenotypes [17,32,60]. Collectively, these findings underscore the multifactorial nature of HGPS pathogenesis, implicating interconnected signaling cascades involved in inflammation, oxidative stress, proteostasis, and vascular remodeling. Reassuringly, our findings indicate that many of the major pathways that have been described to contribute to HGPS phenotypes in mouse and cellular disease models are also misregulated in progeria patients, and targeting these pathways may provide therapeutic avenues to mitigate disease severity and improve outcomes in HGPS. > Although individuals with HGPS typically exhibit a characteristic set of clinical features, such as craniofacial abnormalities, growth retardation, and cardiovascular complications, there is notable variability in the age of onset, severity, and progression of symptoms between patients [7,9]. At the cellular level, HGPS is associated with several hallmark abnormalities, including nuclear envelope defects, decreased expression of several nuclear proteins and epigenetic marks, mitochondrial dysfunction, and increased cellular senescence [1,11,30,31,61]. These cellular phenotypes also exhibit considerable variation between patients, possibly contributing to differences in clinical outcomes. Our results indicate that even though some degree of transcriptional heterogeneity between the individual patients exists, the majority of patients exhibit misregulation of a set of shared pathways, suggesting that these pathways are universal driver mechanisms in HGPS. Further work is needed to understand the molecular and genetic factors that underlie inter-individual variability in disease expression and progression. > A limitation of pathway analysis of HGPS patient samples is to distinguish the pathways which are directly targeted by the disease-causing progerin protein and the emergence of adaptive secondary response pathways during progression of the disease in patients during their lifetime. The same caveat applies to the use of cell-based models used in the study of HGPS disease mechanisms.

[13] Role of Transcriptomics in Precision Oncology

  • Authors: Ruby Srivastava
  • Year: 2024
  • Venue: Reports of Radiotherapy and Oncology
  • URL: https://www.semanticscholar.org/paper/0bd862558bbb7286336111d9dfd232b5f905d3d9
  • DOI: 10.5812/rro-142195
  • Citations: 4
  • Summary: : Transcriptome profiling is one of the most widely used approaches in the field of multiomics research. It plays a crucial role in the prognostic, diagnostic, and predictive treatment of cancer patients. Novel next-generation sequencing (NGS) technologies permit the identification of cancer biomarkers, gene signatures, and their abnormal expression, affecting oncogenic and molecular targets and novel biomarkers for cancer therapies. Multiomics studies have changed the overall understanding o...
  • Evidence snippets:
  • Snippet 1 (score: 0.343) > : Transcriptome profiling is one of the most widely used approaches in the field of multiomics research. It plays a crucial role in the prognostic, diagnostic, and predictive treatment of cancer patients. Novel next-generation sequencing (NGS) technologies permit the identification of cancer biomarkers, gene signatures, and their abnormal expression, affecting oncogenic and molecular targets and novel biomarkers for cancer therapies. Multiomics studies have changed the overall understanding of cancer and opened a precise perspective for tumor diagnostics and therapy. The use of these approaches has strengthened our understanding of disease pathophysiology and classifications at the molecular level, including specific interference with drug mechanisms of action. Still, it has limited added value in the clinical setting. The omics data on precision medicine include the application of data from genes, transcripts, and proteins for diagnosis, monitoring of diseases, risk factor determination, counseling, and development of novel therapeutics. Bioinformatics applications have expanded statistics-based analysis toward deriving molecular pathways and process models for characterizing phenotypes and drug action mechanisms. In this review, we will discuss transcriptomics and interference analysis that allows the identification of predictive biomarkers at the molecular level to test drug response and analyze the molecular process interface of disease progression-relevant pathophysiology and mechanism of action to propose predictive biomarkers.

[14] Novel Approaches to Studying SLC13A5 Disease

  • Authors: Adriana S. Beltran
  • Year: 2024
  • Venue: Metabolites
  • URL: https://www.semanticscholar.org/paper/8469c534cd81d96f84b61e2d963dead12088feb7
  • DOI: 10.3390/metabo14020084
  • PMID: 38392976
  • PMCID: 10890222
  • Citations: 2
  • Summary: Current technologies for generating patient-specific induced pluripotent stem cells (iPSCs) and their inherent advantages and limitations are discussed, followed by a summary of the methods for differentiating iPSCs into neurons, hepatocytes, and organoids.
  • Evidence snippets:
  • Snippet 1 (score: 0.343) > The precise pathophysiology underlying how SLC13A5 loss-of-function results in epilepsy refractory to treatment is a subject of open and ongoing research. Several hypotheses suggest SLC13A5 alters metabolic pathways, leading to neuronal dysfunction. Conversely, therapeutic inhibition of NaCT in the liver is a target to improve metabolic diseases, including non-alcoholic fatty liver disease, obesity, and insulin resistance. Thus, functionally accurate modeling and characterization of the mechanisms involved in citrate transport disruption are critical for understanding its role in human disease. > IPSC-derived cellular systems are a powerful tool for modeling rare human genetic diseases, such as SLC13A5 (Figure 5). IPSCs derived from patients containing the genetic information of the disease can overcome the limitations of animal models, providing access to relevant human cell types that recapitulate the disease phenotype. For instance, patient-derived iPSCs differentiated into neurons or hepatocytes can be used to investigate molecular and cellular mechanisms, including citrate transport and accumulation, energy metabolism, oxidative stress, and other cellular processes. They can also be used to define the spectrum of the disease and how different mutations might lead to various disease severities, screen for potential therapeutic compounds that can restore the transporter function or ameliorate the symptoms, and enable personalized medicine approaches that can tailor treatments to individual patients based on their genetic background and disease severity. > transport disruption are critical for understanding its role in human disease. > IPSC-derived cellular systems are a powerful tool for modeling rare human genetic diseases, such as SLC13A5 (Figure 5). IPSCs derived from patients containing the genetic information of the disease can overcome the limitations of animal models, providing access to relevant human cell types that recapitulate the disease phenotype. For instance, patient-derived iPSCs differentiated into neurons or hepatocytes can be used to investigate molecular and cellular mechanisms, including citrate transport and accumulation, energy metabolism, oxidative stress, and other cellular processes.

[15] Common immunopathogenesis of central nervous system diseases: the protein-homeostasis-system hypothesis

  • Authors: Kyung-Yil Lee
  • Year: 2022
  • Venue: Cell & Bioscience
  • URL: https://www.semanticscholar.org/paper/2984270ae67451b93007040848d9694d19714c9f
  • DOI: 10.1186/s13578-022-00920-5
  • PMID: 36384812
  • PMCID: 9668226
  • Citations: 9
  • Influential citations: 1
  • Summary: This article proposes a common immunopathogenesis of CNS diseases, including prion diseases, Alzheimer’s disease, and genetic diseases, through the PHS hypothesis, which proposes that the immune systems in the host control those substances according to the size and biochemical properties of the substances.
  • Evidence snippets:
  • Snippet 1 (score: 0.342) > There are hundreds of genetic diseases of the CNS. The defective proteins in genetic disorders include structural proteins for neurotransmitter receptors and other receptors or ion channels on CNS cells, and proteins involved in enzymatic process, metabolism (transport), or signal transduction pathways in various communication systems [98]. Because a discussion of each genetic disease is beyond the scope of this review, only crucial points about the pathogenesis of genetic diseases are discussed. Singlegene defect diseases of the CNS can be caused by a defective product from a gene, i.e., a protein deficiency or a malfunctioning protein. In general, autosomal dominant genetic diseases are caused by structural protein defects, and autosomal recessive diseases are caused by defects in enzymatic proteins. However, certain genetic diseases that involve an enzymatic or multifunctional protein defect can induce structural cell injury during the natural course of the illness. > Patients with genetic diseases, including HD, familial JCD, GSS, and the genetic forms of AD and PD, show different clinical manifestations from other affected people in their family, including the time of onset of neurological symptoms, speed of progression of the disease, and prognosis, suggesting that phenotypes can vary even when the genotypes are identical. Likewise, similar phenotypes of CNS symptoms can be found in different genetic diseases. In genetic animal models, the phenotypes of single gene knockout can vary by strain in mice, and the clinical manifestations of a gene defect can differ between mice and humans, and mice null for some genes have also no observable phenotypic abnormalities compared with controls [99]. These findings suggest that default of a protein might be at least partly controlled by individual's control systems and that there might exist a similar immune/repair system against cell injury in genetic diseases. > The pathophysiology of most genetic diseases in the CNS is complex because any affected gene is associated with numerous proteins and their corresponding activations of genes and epigenetic changes that occur during disease processes. Thus, the use of a genetic marker for diagnosing or predicting a prognosis remains impractical in clinical settings [100].

[16] Systems pharmacology-based integration of human and mouse data for drug repurposing to treat thoracic aneurysms.

  • Authors: J. Hansen, J. Galatioto, Cristina I. Caescu, P. Arnaud, R. C. Calizo et al.
  • Year: 2019
  • Venue: JCI insight
  • URL: https://www.semanticscholar.org/paper/261628418de4c8b21daeb694301dc1b8759b622d
  • DOI: 10.1172/jci.insight.127652
  • PMID: 31167969
  • Citations: 20
  • Summary: System pharmacology approaches that compare patient- and mouse-derived transcriptomic data for subcellular pathway-based drug repurposing represent an effective strategy to identify potential new treatments of human diseases.
  • Evidence snippets:
  • Snippet 1 (score: 0.342) > TAA with ensuing dissection and rupture of the vessel wall is the clinical hallmark of Marfan syndrome (MFS), a relatively common connective tissue disease associated with mutations in the gene that codes for the multifunctional ECM glycoprotein fibrillin-1 (4,5). Fibrillin-1 assemblies (microfibrils and elastic fibers) impart specific physical properties to tissues, distribute mechanical forces within and across them, communicate to multiple types of vessel wall cells through integrin receptors, and modulate local bioavailability of ECM-bound latent TGF-β complexes (5). In spite of significant research effort, the molecular pathogenesis of arterial disease in MFS remains unresolved, therefore hindering advances in drug therapy. Earlier studies of MFS mice with nondissecting TAA (Fbn1 C1039G/+ mice) have correlated aneurysm onset and progression with increased TGF-β signaling in the media stimulated by improper angiotensin II (AngII) type I receptor (AT1r) activity (6,7). More recent findings indicate a more complex disease mechanism involving the gradual stratification of stress-stimulated interactions among different cell types and multiple regulatory pathways, of which the AT1r and TGF-β signaling pathways are a critical subset (8)(9)(10)(11)(12)(13)(14). > An overview of regulatory pathways and networks associated with a given pathology can often be obtained by examining changes in gene expression during disease progression. Systems pharmacology approaches that consider drug targets as nodes within cellular regulatory networks can use differentially expressed genes (DEGs) to predict dysregulated SCPs that underlie cell-level mechanisms (1,3). Further, computational analyses of the pharmacologically induced perturbations of gene expression listed in the Connectivity Map (CMap) database can predict drugs to be repurposed to normalize dysregulated SCPs (15).

[17] Recent advances in modelling of cerebellar ataxia using induced pluripotent stem cells

  • Authors: M. M. Wong, L. Watson, Esther B. E. Becker
  • Year: 2017
  • Venue: Journal of neurology & neuromedicine
  • URL: https://www.semanticscholar.org/paper/0d962652305116e383ab260b9e82d3a5ffe1722f
  • DOI: 10.29245/2572.942X/2017/7.1134
  • PMID: 28825058
  • PMCID: 5558869
  • Citations: 9
  • Summary: This review focuses on recent breakthroughs in generating human iPSC-derived Purkinje cells and highlights the future challenges that will need to be addressed in order to fully exploit these models for the modelling of the molecular mechanisms underlying cerebellar ataxias and the development of effective therapeutics.
  • Evidence snippets:
  • Snippet 1 (score: 0.341) > dominant polyglutamine spinocerebellar ataxias (SCAs) are the most studied forms of ataxias. Despite significant clinical and genetic heterogeneity, emerging evidence points to the existence of common pathogenic mechanisms that may be shared by several genetically distinct forms of cerebellar ataxias (reviewed in5-8). However, it is still unclear how the proposed pathological pathways ultimately result in cerebellar dysfunction and degeneration, predominantly affecting Purkinje cells. > Understanding disease mechanisms is key to treating neurodegenerative disorders. The heterogeneous nature of the cerebellar ataxias combined with the unavailability of human brain tissue and the lack of reliable disease models have, however, hampered our understanding of the molecular disease mechanisms underlying cerebellar ataxias and thus, the development of effective therapies. Although mouse models of several cerebellar ataxias, including FRDA and SCAs, have provided valuable insights into the pathophysiology of these disorders (reviewed in9), many questions remain about the observed species differences in disease phenotypes and the effectiveness of potential drugs in clinical trials. > To help translate research from animal models into novel treatments for ataxia patients, it is essential to validate findings in the relevant affected human cell types, particularly in cerebellar Purkinje cells. The current obstacles might be overcome by exploiting recently developed human induced pluripotent stem cell (iPSC) technology and neuronal differentiation protocols.

[18] Copy number variants (CNVs): a powerful tool for iPSC-based modelling of ASD

  • Authors: D. Drakulić, S. Djurovic, Y. A. Syed, Sebastiano Trattaro, N. Caporale et al.
  • Year: 2020
  • Venue: Molecular Autism
  • URL: https://www.semanticscholar.org/paper/c6cac51304043d34c93254007adca11883e387cd
  • DOI: 10.1186/s13229-020-00343-4
  • PMID: 32487215
  • PMCID: 7268297
  • Citations: 23
  • Influential citations: 1
  • Summary: Here, it is examined how iPSCs derived from ASD patients with an associated CNV inform the understanding of the genetic and biological mechanisms underlying the aetiology of ASD.
  • Evidence snippets:
  • Snippet 1 (score: 0.341) > external factors. These complications hinder identification of the basic pathophysiological mechanisms that lead to ASD and hence hamper development of effective therapies. > Molecular and cellular analysis of human patients is generally prospective with data mostly derived from post-mortem tissue. As mentioned above, such studies are subject to the confounds of secondary effects and record the outcomes of underlying disease mechanism rather than directly probe the causative mechanisms. Animal models can be highly informative for the study of a basic mechanism; however, it is difficult to directly translate between observed patient phenotype and animal models. A particular weakness is the ability to capture the phenotypic variation across the patient population. > Human stem cell models offer an opportunity to directly study the molecular and cellular mechanisms of diseases. Key to this approach is the generation of human-induced pluripotent stem cells (iPSCs) derived from patient cells. These are generated by reprogramming of somatic cells into pluripotent stem cells from which many cell types can be differentiated, including neurons and glial cells. Importantly, they can be easily obtained in the clinic from fibroblasts (skin biopsies), keratinocytes (hair roots) [3], T lymphocytes (peripheral blood) [4,5] and exfoliated renal epithelial cells from urine samples [6,7]. Importantly, patient iPSCs enable the in vitro study of different cells types in isolation or co-culture in order to investigate cell function. Uniquely they can track the development profile of patient cell differentiation. More recently the capacity of iPSCs to form 3D organoids has opened up the possibility to investigate the interaction of multiple cell types in a more brain-like microenvironment. Methods for increasing reproducibility of brain organoid differentiation are improving substantially [8,9] and being exploited to mechanistically dissect the effect of genetic lesions causing ASD and ID [10][11][12], as well as the role of specific genes and molecular modules key to human-specific neuronal differentiation trajectories and pathophysiology [13]. > The major question is how to identify the relevant cellular phenotypes that converge on the common pathophysiological mechanisms underlying patient aeti

[19] Exploring the molecular mechanisms of subarachnoid hemorrhage and potential therapeutic targets: insights from bioinformatics and drug prediction

  • Authors: Yi Liu, Yang Zhang, Huan Wei, Li Wang, Lishang Liao
  • Year: 2025
  • Venue: Scientific Reports
  • URL: https://www.semanticscholar.org/paper/19a91d9c8cabec6a5a186729d545077e252ecb67
  • DOI: 10.1038/s41598-025-97642-8
  • PMID: 40229542
  • PMCID: 11997208
  • Summary: The findings not only elucidate the molecular mechanisms underlying SAH but also provide robust bioinformatics and experimental evidence supporting IRN as a promising therapeutic candidate, offering novel insights for future intervention strategies in SAH.
  • Evidence snippets:
  • Snippet 1 (score: 0.341) > involved in SAH pathology. As a result, our understanding of the cellular composition and microenvironment in SAH remains incomplete 8 . > Advances in bioinformatics provide powerful tools to analyze large-scale gene expression data and understand complex biological processes. By integrating transcriptomic data with immune cell infiltration analysis, we can gain a deeper understanding of the molecular mechanisms underlying SAH and identify potential key genes as therapeutic targets 9,10 . Previous studies have indicated that inflammation, oxidative stress, and cell death play crucial roles in the development of SAH, processes that are often closely associated with changes in specific cell types and immune responses 11 . > The goal of this study is to explore the molecular mechanisms of SAH, with a focus on immune cell infiltration and its role in disease progression. We aim to identify key genes and signaling pathways associated with SAH and investigate potential therapeutic strategies. Specifically, we will examine Isorhynchophylline (IRN) as a potential treatment for SAH and analyze its effects on relevant targets and signaling pathways. Through a comprehensive understanding of the pathological features of SAH, this study aims to provide valuable insights into future clinical interventions and treatment strategies.

[20] Heat Shock Proteins in Oxidative Stress and Ischemia/Reperfusion Injury and Benefits from Physical Exercises: A Review to the Current Knowledge

  • Authors: Jakub Szyller, I. Bil-Lula
  • Year: 2021
  • Venue: Oxidative Medicine and Cellular Longevity
  • URL: https://www.semanticscholar.org/paper/4ec4bee9f1b89cdf5a3c513d847990f3cfc18bb8
  • DOI: 10.1155/2021/6678457
  • PMID: 33603951
  • PMCID: 7868165
  • Citations: 113
  • Influential citations: 2
  • Summary: The latest research focuses on determining the role of H SPs in OS, their antioxidant activity, and the possibility of using HSPs in the treatment of I/R consequences, where reactive oxygen species play a major role.
  • Evidence snippets:
  • Snippet 1 (score: 0.340) > Heat shock proteins play a cytoprotective role under pathological conditions such as cardiovascular diseases. The knowledge about cellular and molecular mechanisms underlying ROS-mediated modulation of HSP expression can help to better understand the pathophysiology of OS, which is associated with the development of many diseases (cardiovascular, neurodegenerative, etc.). I/R injury is considered a major contributor to tissue damage in multiple clinical situations such as myocardial infarction, stroke, and organ transplantation. Oxidative damage is a key factor in the initiation of I/R. HSP expression is highly sensitive to I/R injury. > Understanding the exact mechanisms of HSP and the structure of the protein interaction network can help to better understand the pathophysiology and treatment of many diseases, as well as to develop new drugs. There is a need to understand the relationship between cell pathways-signaling, metabolism, etc. The relationships between HSP and OS discussed in this work seem to be very complicated and not yet fully understood. Data showed that modulation of HSP expression in reperfusion injuries may result in better treatment of myocardial infarction. This can also help to prepare organs for the transplantation.

Notes

  • This provider combines search_papers_by_relevance with snippet_search.
  • No synthesis or second-stage model call is performed.