Home / Deep Research / Kniest Dysplasia

Kniest Dysplasia

Asta Literature Retrieval: Pathophysiology and clinical mechanisms of Kniest Dysplasia. Core disease mechanisms, molecular and cellular pathways...

2026-04-02
Asta MONDO:0007987 Model: Asta Scientific Corpus Retrieval 19 citations

Asta Literature Retrieval: Pathophysiology and clinical mechanisms of Kniest Dysplasia. Core disease mechanisms, molecular and cellular pathways...

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

  • Papers retrieved: 19
  • Snippets retrieved: 20

Relevant Papers

[1] Nasopharyngeal Carcinoma Signaling Pathway: An Update on Molecular Biomarkers

  • Authors: W. Tulalamba, T. Janvilisri
  • Year: 2012
  • Venue: International Journal of Cell Biology
  • URL: https://www.semanticscholar.org/paper/307cb9186444d9dad6e2e3b53763be0de76de186
  • DOI: 10.1155/2012/594681
  • PMID: 22500174
  • PMCID: 3303613
  • Citations: 93
  • Influential citations: 5
  • Summary: The molecular signaling pathways in the NPC are discussed for the holistic view of NPC development and progression and the important insights toward NPC pathogenesis may offer strategies for identification of novel biomarkers for diagnosis and prognosis.
  • Evidence snippets:
  • Snippet 1 (score: 0.390) > In the pregenomic eras, highly integrated and complex circuitry of molecular signaling in NPC pathogenesis was only partially understood. Over the past decade, the knowledge of the molecular mechanisms in NPC carcinogenesis has been rapidly accumulated. Dysregulation and abnormal protein expression of molecules in certain signaling pathways involved in cellular functions including proliferation, adhesion, survival, and apoptosis has been demonstrated in the NPC cells. Detailed information on the complex network in signaling pathway leading to a coordinated pattern of gene expression and regulation in NPC will undoubtedly provide important clues to develop novel prognostic and therapeutic strategies for this cancer. Refining molecular markers into clinically relevant assays may assist in the detection of NPC in asymptomatic patients, as well as stage classification and monitoring disease progression and treatments. Furthermore, selective regulation of particular proteins targeting cancer cell proliferation, invasion, and apoptosis is a hopeful prospect for future anticancer therapy that slow disease progression and improve survival.

[2] EndoCompass Project: Research Roadmap for Calcium and Bone Endocrinology

  • Authors: K. Jähn-Rickert, K. Z. Tomsic, A. Anastasilakis, Jean-Philippe Bertocchio, M. L. Brandi et al.
  • Year: 2025
  • Venue: Hormone Research in Pædiatrics
  • URL: https://www.semanticscholar.org/paper/fccbdcae3a86c448632e05f9c38ad2563c14284d
  • DOI: 10.1159/000549160
  • PMID: 41296665
  • PMCID: 12698132
  • Summary: This framework identifies crucial investigation areas into metabolic bone disease pathophysiology, prevention, and treatment strategies, ultimately aimed at reducing the burden of these disorders on individuals and society.
  • Evidence snippets:
  • Snippet 1 (score: 0.372) > Skeletal dysplasias encompass a large spectrum of genetic disorders of the skeleton with abnormal bone growth, structure, or strength [85]. Individually, they are rare but, collectively, due to the large number of skeletal dysplasias (>700), they result in significant morbidity. The underlying pathology remains inadequately understood and the optimal therapy is often undefined, with precision drug treatment targeting the underlying molecular mechanism not available for most skeletal dysplasias. Gene discoveries have increased exponentially, demonstrating the value of advanced genetic tools and motivating further research into the complex pathogenesis of skeletal dysplasias. > However, further basic research is required to uncover the cellular pathology and implicated molecular pathways in various forms of skeletal dysplasia. Understanding the pathophysiology of skeletal dysplasias may also benefit a larger patient population. This is evidenced by anti-sclerostin treatment for osteoporosis [86] which, at present, is in clinical trials for osteogenesis imperfecta. Preclinical data show positive effects on bone mass and strength [87]. > The spectrum of disease manifestations of various skeletal dysplasias in different phases of life and health projections across the life course remain inadequately studied. Research on therapeutic approaches needs to focus not only on correcting the pathophysiology but also, more broadly, on surgical approaches, rehabilitation, functional/environmental adaptations, preventative measures, pain management, psychological support, and quality of life. Patient groups must be involved in identifying these research goals. International registries should be utilized to collect and analyse such data. > A multidisciplinary approach is of particular importance in genetic skeletal disorders, to enable cohesive care throughout the life course. The patients have a range of physical impairments due to their skeletal disorder, but also a disease-specific spectrum of extraskeletal manifestations requiring medical attention. These may include, for example, dental and oral health problems, immune deficiency, impaired hearing, and neurological or ophthalmologic manifestations.

[3] 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: 37
  • 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: 0.367) > 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.
  • Snippet 2 (score: 0.345) > The extensive clinical variability and genetic heterogeneity of GSDs, coupled with complex disease mechanisms, renders this extensive group of rare diseases a bench to bedside challenge. Indeed, this large number of different and highly complex phenotypes makes the identification, validation and development of potential therapies almost impossible for anything other than the most common GSDs. As an alternative approach, we might consider identifying genotype-and/or phenotype-independent 'core disease mechanisms' that are shared amongst families of clinically unrelated GSDs. This approach would allow the focusing of resources into several areas of concerted investigation that have the potential to identify and validate therapeutic targets with a broad application to GSDs, inherited connective tissues as a whole and rare genetic disease in general. Indeed, Jürgen Spranger first suggested the idea of 'bone dysplasia families' in 1985 [124] and proposed that phenotypes with a similar clinical and radiographic phenotype would likely have a similar disease mechanism. Thirty years later, we can now expand upon this pioneering concept and propose that common disease mechanisms can also be shared amongst clinically different phenotypes ('common amongst the rare'). > In this context, ER stress has been associated with a diverse range of genetic diseases and chronic conditions such as skeletal dysplasia (as discussed in this review), myopathy [125], cerebro-vascular [42], kidney [126], ischaemia and cardiovascular diseases [127]. Moreover, ER stress is emerging as a very attractive target that is being successfully exploited in a broad range of diseases including neuropathy, juvenile-onset openangle glaucoma, obesity, diabetes, asthma and epidermolysis bullosa, to name but a few. Historically many GSDs were considered diseases of the ECM and proposed therapeutic interventions involved the removal and/or correction of the relevant mutated gene or abnormal gene product. This was particularly the case with dominant-negative mutations in the large structural 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.

[4] Case report: Whole exome sequencing and genome-wide methylation profiling of Czech dysplasia in a Chinese pedigree

  • Authors: Mengfei Zhao, Runrun Zhang, Cen Chang, Yehua Jin, Lingxia Xu et al.
  • Year: 2023
  • Venue: Frontiers in Medicine
  • URL: https://www.semanticscholar.org/paper/0b4c5d8d1c1628c4b97fb2a617e56922033a0080
  • DOI: 10.3389/fmed.2023.1244888
  • PMID: 38020103
  • PMCID: 10652562
  • Summary: The case of a Chinese woman diagnosed with Czech dysplasia (proband) who carried a variant in the COL2A1 gene is presented and Whole-exome sequencing identified the COL1A1 missense mutation in close relatives of the proband who also exhibited the same disorder.
  • Evidence snippets:
  • Snippet 1 (score: 0.365) > COL2A1 encodes for the collagen type II alpha 1 chain (6) found in human cartilage and eye vitreous on chromosome 12 (7,8). Type II collagen plays a vital role in endochondral bone formation and growth (9). Mutations in the COL2A1 gene affect endochondral ossification and linear bone growth with structurally abnormal type II collagen (10). Interestingly, there is a wide spectrum of phenotypes that have been attributed to different COL2A1 variants, including achondroplasia, early-onset familial osteoarthritis, congenital vertebral dysplasia, Stickler syndrome, Kniest dysplasia, and Strudwick congenital spine dysplasia (7,11). Recently, a Chinses study found that the p.Arg275Cys mutation in the COL2A1 gene often led to toe malformation and was considered a mutational hotspot for Czech dysplasia (10). This is the first report of Czech dysplasia in the Han Chinese population and therefore expands our epidemiological knowledge of the disorder. In addition, several other disorders, such as achondrogenesis type II, Kniest dysplasia, Legg-Calve-Perthes disease, spondyloepiphyseal dysplasia, and Stickler syndrome, are caused by COL2A1 variants (occurring in different regions of the gene), and therefore, understanding the molecular pathophysiology and clinical presentation of the patients studied in this work can potentially lead to insights for those additional type II collagenopathies. In addition, understanding rare variants with linked phenotypes can aid in the delineation of COL2A1 function, which carries importance for common complex diseases as well, given that osteoarthritis susceptibility has been associated with COL2A1 polymorphisms (12,13). > In this study, we applied whole-exome sequencing to a pedigree and found that the familial disease reported in this study is caused by non-synonymous variants in exon 13 of the protein encoded by COL2A1.

[5] Molecular insights into the premature aging disease progeria

  • Authors: Sandra Vidak, R. Foisner
  • Year: 2016
  • Venue: Histochemistry and Cell Biology
  • URL: https://www.semanticscholar.org/paper/60fb3b46bb7e42d5d08cc3b7cbc783b118300c31
  • DOI: 10.1007/s00418-016-1411-1
  • PMID: 26847180
  • PMCID: 4796323
  • Citations: 105
  • Influential citations: 3
  • Summary: Changes in mechanosignaling, altered chromatin organization and impaired genome stability, and changes in signaling pathways, leading to impaired regulation of adult stem cells, defective extracellular matrix production and premature cell senescence are discussed.
  • Evidence snippets:
  • Snippet 1 (score: 0.363) > The number of molecular biological studies aiming at the identification of lamin-mediated molecular disease mechanisms involved in HGPS increased tremendously following the surprising discovery that LMNA is causally linked to the premature aging disease HGPS in 2003. Despite numerous cellular pathways that were identified to be affected by the expression of the mutant lamin A protein (Fig. 2), the mechanistic details behind these effects are still unclear in most cases. Knowledge based on what was already known on lamin biology before the protein was linked to HGPS and findings on novel roles of lamins in diverse pathways in recent years allowed the launch of translational studies and the efficient search for drug targets and therapeutic approaches within a short time period. The results of the first clinical trials taught us that some improvements of the disease phenotypes can be achieved by FTI treatment, but they also made clear that we need a much better understanding of the underlying disease mechanisms to be able to tackle specific aspects of the disease in a more focused approach. It will also be important to elucidate which of the numerous pathways found to be impaired in HGPS are most relevant for and causally involved in the pathologies, and which ones are just bystanders.

[6] A Roadmap to Gene Discoveries and Novel Therapies in Monogenic Low and High Bone Mass Disorders

  • Authors: M. Formosa, D. Bergen, C. Gregson, A. Maurizi, A. Kämpe et al.
  • Year: 2021
  • Venue: Frontiers in Endocrinology
  • URL: https://www.semanticscholar.org/paper/be13ff3ea01dc5719f2c63b2cbf5d9f77bafd659
  • DOI: 10.3389/fendo.2021.709711
  • PMID: 34539568
  • PMCID: 8444146
  • Citations: 21
  • Summary: The monogenic forms of rare low and high rare bone Mass disorders known to date are described, a roadmap to unravel the genetic determinants of monogenic rare bone mass disorders is provided, using proper phenotyping and genotyping methods are provided, and different genetic validation approaches paving the way for future treatments are described.
  • Evidence snippets:
  • Snippet 1 (score: 0.360) > Skeletal development is regulated by numerous genetic factors that guide the growth, modeling and remodeling of skeletal structures starting in early fetal development and continuing throughout life. These processes are crucial for attainment of normal height, skeletal patterning, bone shape, and mobility, but also for maintenance of normal bone mass and fracture resistance. Defects in the involved genes result in a large and heterogeneous group of disorders, collectively called skeletal dysplasias, in which the primary features are confined to the skeleton. More than 460 different forms of skeletal dysplasia, most of them monogenic, have been recognized (1). They are estimated to affect approximately 1/5,000 children (2,3), and can have distinct clinical manifestations and course. Clinical outcomes range in severity from neonatal lethality to only mild growth retardation, deformity or fracture risk. Diagnosis is based on growth pattern and other clinical characteristics, skeletal imaging, bone density testing, biochemical diagnostics, and genetic tests. Although the genetic basis has been described and mutations in the responsible genes identified in a significant proportion of these conditions, for several distinct skeletal dysplasia phenotypes the genetic cause is still not known (1). > Within this large group of genetic skeletal disorders, monogenic disorders affecting bone mass comprise an expanding subgroup (1,4). This includes disorders with low bone mass and skeletal fragility, and disorders leading to increased bone mass, both commonly associated with extraskeletal complications (5,6). Due to significant variability in severity, diagnosis can be challenging. Importantly, the underlying molecular genetic mechanisms for these disorders remain inadequately explored and, in several entities, the causative genetic defect, and underlying cellular and molecular pathophysiology are still uncharacterized. > The various skeletal dysplasia delineated to date have provided important information about the molecular pathways governing skeletal health both in these conditions and in the general population, underscoring the significance of new gene discoveries not only for the individuals affected by the monogenic rare bone mass disorder, but also more widely to the musculoskeletal research field (7). Indeed, the large wealth of data generated from monogenic and polygenic bone mass disorders, frailty and other musculoskeletal traits, have led

[7] 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: 0.359) > : 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.

[8] Insights in biomarkers complexity and routine clinical practice for the diagnosis of thyroid nodules and cancer

  • Authors: M. G. de Matos, Mafalda Pinto, A. Gonçalves, Sule Canberk, M. J. Bugalho et al.
  • Year: 2025
  • Venue: PeerJ
  • URL: https://www.semanticscholar.org/paper/655de68f1a7e8137dcba8a2046f14dee4f07594d
  • DOI: 10.7717/peerj.18801
  • PMID: 39850836
  • PMCID: 11756370
  • Citations: 4
  • Summary: The knowledge of genetic and molecular biomarkers has achieved a high level of complexity, and the difficulties related to its applicability determine that their implementation in clinical practice is not yet a reality.
  • Evidence snippets:
  • Snippet 1 (score: 0.358) > Knowledge of molecular mechanisms implicated in thyroid carcinogenesis has been attained in recent years. Thyroid neoplasm result from alterations in gene expression patterns, which occur due to a gradual accumulation of genetic and epigenetic events. These changes are associated with specific tumor phenotypes and are implicated in disease etiology. Molecular alterations induce the activation of different signaling pathways, such as the mitogen-activated protein kinase (MAPK), and phosphatidylinositol 3-kinase (PI3K/AKT/mTOR), which are involved in and promote carcinogenesis (Hsiao & Nikiforov, 2014). In a few years, the knowledge of molecular mechanisms implicated in thyroid carcinogenesis changed from understanding signaling pathways and identification of a few genes mutations to the knowledge of the main genes implicated in thyroid carcinogenesis, reviewed by De Leo et al. (2024). Genetic changes in thyroid neoplasms were divided in early/driver molecular alterations and late/progression events. Late/ progression events may be associated with early/driver molecular alterations and represent the evolution from well-differentiated to high-grade and undifferentiated carcinoma, being (Pozdeyev et al., 2018). Most frequent gene mutations present in follicular-cell derived thyroid tumors are BRAF, RAS, and TERTp mutations, associate with clinically relevant clinicopathologic features, as shown in Table 3.

[9] Mitochondrial Dysfunction in Diabetes: Shedding Light on a Widespread Oversight

  • Authors: F. Iheagwam, A. J. Joseph, E. D. Adedoyin, Olawumi Toyin Iheagwam, Samuel Akpoyowvare Ejoh
  • Year: 2025
  • Venue: Pathophysiology
  • URL: https://www.semanticscholar.org/paper/dbf8042761c1a5fc50f8cd894cc498505abac7cb
  • DOI: 10.3390/pathophysiology32010009
  • PMID: 39982365
  • PMCID: 12077258
  • Citations: 23
  • Summary: This review aims to elucidate the complex link between mitochondrial dysfunction and diabetes, covering the spectrum of diabetes types, the role of mitochondria in insulin resistance, highlighting pathophysiological mechanisms, mitochondrial DNA damage, and altered mitochondrial biogenesis and dynamics.
  • Evidence snippets:
  • Snippet 1 (score: 0.356) > The landscape of DM research is continuously evolving, with emerging technologies and approaches offering new insights into the pathophysiology of the disease and potential therapeutic targets. Advancements in omics technologies, encompassing genomes, transcriptomics, proteomics, and metabolomics, have transformed the molecular mechanisms underlying DM [134]. High-throughput sequencing techniques enable comprehensive analysis of genetic variants, gene expression profiles, protein abundance, and metabolite levels associated with DM and its complications [135]. Single-cell omics approaches provide unprecedented resolution and granularity, allowing researchers to dissect cellular heterogeneity and identify novel cell types, subpopulations, and signalling pathways involved in DM pathogenesis. Integrating multi-omics data sets offers a systems-level perspective of DM, unravelling complex networks of molecular interactions and regulatory circuits underlying disease progression [136]. > In addition to omics technologies, advances in imaging modalities, such as MRI, PET, and optical imaging, enable non-invasive visualisation and quantification of metabolic, functional, and structural changes. Molecular imaging probes targeting specific biomarkers and metabolic pathways provide valuable insights into disease mechanisms and treatment responses in preclinical and clinical settings [85]. Despite significant progress in DM research, numerous unanswered questions and knowledge gaps persist, hindering the ability to develop effective prevention and treatment strategies. Key areas requiring further investigation include the role of epigenetics, environmental factors, and the microbiome in DM susceptibility and progression. Moreover, the interaction between environmental cues and genetic predisposition remains incompletely understood, highlighting the need for comprehensive multi-omics studies and large-scale epidemiological analyses to identify gene-environment interactions and modifiable risk factors for DM [137]. Furthermore, the heterogeneity of DM phenotypes and clinical outcomes poses a challenge for personalised medicine approaches, necessitating robust biomarkers and predictive models to stratify patients based on disease subtypes, prognosis, and treatment response [138].

[10] 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: 0.356) > 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.

[11] Novel variants in KAT6B spectrum of disorders expand our knowledge of clinical manifestations and molecular mechanisms

  • Authors: M. Yabumoto, Jessica Kianmahd, Meghna Singh, Maria F. Palafox, Angela Wei et al.
  • Year: 2021
  • Venue: Molecular Genetics & Genomic Medicine
  • URL: https://www.semanticscholar.org/paper/3a47a1b1208ba7420900b090d3d7d712ed391719
  • DOI: 10.1002/mgg3.1809
  • PMID: 34519438
  • PMCID: 8580094
  • Citations: 12
  • Influential citations: 2
  • Summary: A range of features previously described for KAT6B‐related syndromes are identified, including concern for keratoconus, sensitivity to light or noise, recurring infections, and fractures in greater numbers than previously reported.
  • Evidence snippets:
  • Snippet 1 (score: 0.354) > Finally, as gene-centric models of disease have started to take hold, understanding the underlying functional mechanisms that are affected can help us elucidate the effect on molecular and cellular phenotypes that are regulated by KAT6B (Klein et al., 2019;Sheikh et al., 2012). We developed a model of KAT6B truncating variants in a human cell line to explore how these variants result in differential regulation of key transcripts. These types of approaches have been performed in a high throughput manner for tumor suppressor genes like BRCA1 (Findlay et al., 2018) and TP53 (Kotler et al., 2018) and can help identify key pathways that are dysregulated by KAT6B-related disorders and could be future targets for translational research. > Here, we analyze 20 clinical cases representing a KAT6B-related clinical spectrum across three domains: their genotype, phenotype, and experience with genetic counseling resources. Furthermore, we developed an in vitro model of KAT6B mutations using CRISPR technology to explore the effect of protein truncation on global transcriptional regulation. Here we demonstrate that the genes that drive core clinical phenotypes are enriched in our in vitro model system. Together, we show that our clinical observations parallel the transcriptional processes in our cell model systems which allow for a further understanding of the mechanisms underlying the KAT6Brelated clinical spectrum.

[12] WNT Signaling and Bone: Lessons From Skeletal Dysplasias and Disorders

  • Authors: Yentl Huybrechts, G. Mortier, E. Boudin, W. Van Hul
  • Year: 2020
  • Venue: Frontiers in Endocrinology
  • URL: https://www.semanticscholar.org/paper/00fd0aa090f258a34c6590bc3dee4b211ecb0929
  • DOI: 10.3389/fendo.2020.00165
  • PMID: 32328030
  • PMCID: 7160326
  • Citations: 95
  • Summary: This review discusses the skeletal disorders that are included in the latest nosology of skeletal disorders and that are caused by genetic defects involving the Wingless and int-1 (WNT) signaling pathway.
  • Evidence snippets:
  • Snippet 1 (score: 0.352) > The identification of novel disease-causing genes for rare skeletal dysplasias accelerated significantly in the last decades, initially by positional cloning efforts and more recently by the availability of next-generation sequencing technology. This resulted in the identification of the disease-causing gene for 92% of the skeletal disorders (6). The increased knowledge on monogenic diseases resulted in a better understanding of the pathological mechanisms and highlighted which pathways regulate specific cellular processes. This information is also relevant for understanding more common multifactorial diseases. Furthermore, it has been shown that therapeutic targets which are based on genetic evidence from Mendelian traits as well as genome-wide association studies (GWASs) are more likely to be successful in clinical studies for multifactorial diseases (150). Here, we focused on skeletal dysplasias caused by mutations in genes that encode proteins that are directly involved in one of the WNT signaling pathways. As shown in Table 1, mutations in these genes can result in a variety of skeletal dysplasias, each with specific clinical features. The broad spectrum of clinical observations reflect the cellular and spatial functions of WNT signaling, some of them associated with embryonal development, others with bone mass and homeostasis in adult life. For example, the clinical features of RS and OMOD are similar which led to the hypothesis that all causative genes are involved in the WNT/PCP pathway which is previously shown to be important during limb development (Figure 2) (102). On the other hand, the influence of canonical WNT signaling on bone mass was highlighted by unraveling the underlying pathogenic mechanisms of disorders with a progressively increasing bone mass such as sclerosteosis, Van Buchem disease, and high bone mass phenotypes (osteosclerosis) (51,53,57,107,113). The genes causing these disorders, SOST, LRP4, LRP5, and LRP6, are all involved in the canonical WNT signaling pathway (Figure 3), and all mutations reported result in an increased canonical WNT signaling (Table 1).

[13] Structurally Abnormal Type II Collagen in a Severe Form of Kniest Dysplasia Caused by an Exon 24 Skipping Mutation*

  • Authors: M. Weis, D. Wilkin, Hyon J. Kim, W. Wilcox, R. Lachman et al.
  • Year: 1998
  • Venue: The Journal of Biological Chemistry
  • URL: https://www.semanticscholar.org/paper/f4ceef39beade5f86935d7f3541145bf37aaa9cb
  • DOI: 10.1074/JBC.273.8.4761
  • PMID: 9468540
  • Citations: 45
  • Influential citations: 1
  • Summary: Results are reported that define the underlying genetic defect and consequent altered structure of assembled type II collagen in a neonatal lethal form of Kniest dysplasia and support a hypothesis that normal and short α-chains had combined to form heterotrimeric molecules in which the chains were in register in both directions from the deletion site.
  • Evidence snippets:
  • Snippet 1 (score: 0.352) > Type II collagen mutations have been identified in a phenotypic continuum of chondrodysplasias that range widely in clinical severity. They include achondrogenesis type II, hypochondrogenesis, spondyloepiphyseal dysplasia congenita, spondyloepimetaphyseal dysplasia, Kniest dysplasia, and Stickler syndrome. We report here results that define the underlying genetic defect and consequent altered structure of assembled type II collagen in a neonatal lethal form of Kniest dysplasia. Electrophoresis of a cyanogen bromide (CNBr) (CB) digest of sternal cartilage revealed an α1(II)CB11 peptide doublet and a slightly retarded mobility for all major CB peptides, which implied post-translational overmodification. Further peptide mapping and sequence analysis of CB11 revealed equal amounts of a normal α1(II) sequence and a chain lacking the 18 residues (361–378 of the triple helical domain) corresponding to exon 24. Sequence analysis of an amplified genomic DNA fragment identified a G to A transition in the +5 position of the splice donor consensus sequence of intron 24 in one allele. Cartilage matrix analysis showed that the short α1(II) chain was present in collagen molecules that had become cross-linked into fibrils. Trypsin digestion of the pepsin-extracted native type II collagen selectively cleaved the normal length α1(II) chains within the exon 24 domain. These findings support a hypothesis that normal and short α-chains had combined to form heterotrimeric molecules in which the chains were in register in both directions from the deletion site, accommodated effectively by a loop out of the normal chain exon 24 domain. Such an accommodation, with potential overall shortening of the helical domain and hence misalignment of intermolecular relationships within fibrils, offers a common molecular mechanism by which a group of different mutations might act to produce the Kniest phenotype.

[14] Clinical and Genetic Insights into Desbuquois Dysplasia: Review of 111 Case Reports

  • Authors: Hubert Piwar, M. Ordak, Magdalena Bujalska-Zadrożny
  • Year: 2024
  • Venue: International Journal of Molecular Sciences
  • URL: https://www.semanticscholar.org/paper/49abd91511392c535dc098d7cfc55c4096c58c72
  • DOI: 10.3390/ijms25179700
  • PMID: 39273648
  • PMCID: 11395126
  • Citations: 4
  • Influential citations: 1
  • Summary: The review highlights the phenotypic variations across Desbuquois dysplasia subtypes, particularly in facial characteristics, joint dislocations, and bone deformities and underscores the importance of early diagnosis and the potential for personalized therapeutic approaches.
  • Evidence snippets:
  • Snippet 1 (score: 0.349) > The use of supraglottic devices, like the CobraPLA, may provide a viable alternative for maintaining a secure airway. However, the success of such devices may vary, and backup plans, including the use of advanced intubation techniques, should be prepared [54]. > This review highlights the significant variability in genetic mutations associated with Desbuquois dysplasia and their impact on clinical phenotypes. The predominance of DBQD1 cases in the literature suggests that further studies should investigate whether this reflects a true higher prevalence or whether it is a consequence of diagnostic biases. Additionally, the observation of developmental delays in a significant proportion of patients underscores the importance of early diagnosis and intervention. Future research should focus on several key areas: firstly, further studies are needed to deepen our understanding of the correlation between specific mutations and the clinical manifestations of Desbuquois dysplasia, which could help to refine the diagnostic criteria and improve prognostic predictions. Secondly, investigating the pathogenic pathways involving CANT1 and other relevant genes in Desbuquois dysplasia, particularly in comparison with their roles in other conditions, such as cancers, could uncover new insights into the disease's underlying mechanisms and identify potential biomarkers for earlier diagnosis or predicting disease progression. Thirdly, given the phenotypic variability observed among patients, there is a need for personalized therapeutic strategies that are tailored to individual clinical profiles. Future research should explore the potential for developing targeted therapies, such as enzyme replacement or gene therapies, based on the molecular and genetic characteristics of each patient. Moreover, conducting longitudinal studies in patients with Desbuquois dysplasia would provide valuable data on disease progression, response to treatment, and long-term outcomes, helping to identify critical periods for intervention that might improve patient outcomes. Finally, the development and implementation of advanced molecular diagnostic techniques could facilitate an earlier and more accurate diagnosis of Desbuquois dysplasia, allowing for early intervention and potentially improving the quality of life and prognosis in affected individuals. While significant progress has been made in understanding Desbuquois dysplasia, ongoing research is essential to translate these findings into improved clinical care.

[15] 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: 0.348) > 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.

[16] Deciphering cellular states of innate tumor drug responses

  • Authors: Esther Graudens, V. Boulanger, Cindy Mollard, R. Mariage-Samson, Xavier Barlet et al.
  • Year: 2006
  • Venue: Genome Biology
  • URL: https://www.semanticscholar.org/paper/c79e62f4751e287a9527444fdeae83162022d48a
  • DOI: 10.1186/gb-2006-7-3-r19
  • PMID: 16542501
  • PMCID: 1557757
  • Citations: 135
  • Influential citations: 7
  • Summary: Molecular interaction networks are described that provide a solid foundation on which to anchor working hypotheses about mechanisms underlying in vivo innate tumor drug responses, and represent a starting point from which by-pass chemotherapy schemes may be developed for critical therapeutic intervention in CRC patients.
  • Evidence snippets:
  • Snippet 1 (score: 0.347) > to TOP1 inhibitors [20,22]. > Our current understanding of mechanisms associated with drug resistance has been furthered by investigating drugresistant cellular models created by exposing a parental population (yeast, bacteria, mammalian cell lines) to increasing concentrations of a cytotoxic agent [23][24][25][26]. It has been difficult, however, to translate these insights into clinically meaningful improvements in cancer treatment, suggesting that in vitro unicellular models may not be applicable to the in vivo situation or represent the disease in its entirety. For instance, in CRC, TOP1 mutations that decrease the formation of DNA cleavage complexes were identified [27], but their implication in clinical resistance was not confirmed. > Since the introduction of molecular genetics methods in clinical oncology, examination of individual mRNA/protein expression levels of drug target molecules provided complementary indications on the mechanisms involved. Thus far, however, only a limited number of clinical studies of drug resistance have focused on individual candidate genes and these used clinical samples exclusively derived from patients that were already treated with drugs. In CRC, such gene-bygene molecular biology studies have highlighted only a partial list of candidate genes [28][29][30][31][32][33]; some of these genes were shown to be involved in mechanisms altering drug metabolite potency, others are known to participate in increase of drug efflux or decrease of drug toxicity, or to participate in inhibition of apoptosis (for an overview, see [32][33][34][35][36][37]). It is unclear at present whether these mechanisms play a causative role in clinical drug resistance, and no comprehensive analysis of entire drug resistance pathways has been conducted. > Pharmacogenetics and pharmacogenomics approaches have been initiated to study the relationship between individual variations and drug response rates [38,39]. Genetic polymorphisms of specific genes were found to be associated with clinical outcomes in patients treated through chemotherapy, and amplification of genes encoding drug targets or transporters was shown to alter the sensitivity of cancer cells to a particular chemotherapy [40,41]. Finally, loss of heterozygosity at specific regions of chromosomes was identified in specific carcinoma, although its consequence in treatment outcome remains

[17] Developing a Knowledge Graph Framework for Pharmacokinetic Natural Product-Drug Interactions

  • Authors: Sanya Bathla Taneja, T. Callahan, M. Paine, S. Kane‐Gill, H. Kilicoglu et al.
  • Year: 2022
  • Venue: Journal of biomedical informatics
  • URL: https://www.semanticscholar.org/paper/9c99c796c4ffb0f8db8956402b603dcc24bc96e7
  • DOI: 10.1016/j.jbi.2023.104341
  • PMID: 36933632
  • Citations: 14
  • Summary: NP-KG is the first KG to integrate biomedical ontologies with full texts of the scientific literature focused on natural products, and is demonstrated to identify known pharmacokinetic interactions between natural products and pharmaceutical drugs mediated by drug metabolizing enzymes and transporters.
  • Evidence snippets:
  • Snippet 1 (score: 0.347) > Entities from the OBO Foundry ontologies (diseases from Mondo Disease Ontology [25]; phenotypes from Human Phenotype Ontology [26]; anatomical entities from Uber Anatomy Ontology [27]; biological processes, cellular components, and molecular functions from Gene Ontology [28]; proteins from Human Protein Ontology [29]; pathways from Pathway Ontology [30]; chemicals from ChEBI ontology [22]; genes and variants from Sequence Ontology [31]; and cells from Cell Ontology [32] and Cell Line Ontology [33]) and linked data sources were integrated in the KG with the PheKnowLator workflow. > In addition to the ontologies and data sources originally included in the PheKnowLator workflow [34], we extended the workflow to include the Ontology of Adverse Events [35] and data from the following drug data sources in the ontology-grounded KG: > • Drug Interaction Knowledge Base (DIKB) (v2017) [36,37]: evidence of enzyme substrates and inhibition, including in vitro information, drug label statements, and results from randomized clinical trials. To simplify the knowledge representation, only the positive evidence present in DIKB was included in the KG. > • Drug Central database (v2017) [38]: in vitro evidence of enzyme inhibition, drug-transporter interactions, drug-bacteria interactions, and enzyme and transporter substrates. > • FDA Drug Interaction database (v2017) [39]: in vitro and clinical evidence of enzyme and transporter substrates and inhibitors. We included all data where the reported fold change in area under the receiver operating characteristic curve of the drug substrate for an enzyme or transporter is at least 2-fold in the presence of a purported inhibitor drug. This cut-off was chosen because it represents strong positive evidence of a clinically measurable pharmacokinetic mechanism (i.e., the primary drug clearance pathway involves a specific enzyme or transporter that can be inhibited by a drug to a clinically measurable extent). > The 2017 versions of the above databases were included to enable time-slicing in the KG. The timeslicing approach for KG evaluation splits the graph to predict chronologically later links.

[18] 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: 0.345) > 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.

[19] Signaling Pathways in Bone Development and Their Related Skeletal Dysplasia

  • Authors: Alessandra Guasto, V. Cormier-Daire
  • Year: 2021
  • Venue: International Journal of Molecular Sciences
  • URL: https://www.semanticscholar.org/paper/c5466b45e1a7e5aa8e7ad05c7d9287a9e84e9262
  • DOI: 10.3390/ijms22094321
  • PMID: 33919228
  • PMCID: 8122623
  • Citations: 51
  • Summary: The principal signaling pathways involved in bone development and their associated skeletal dysplasia are reviewed and genotype–phenotype correlations have helped to elucidate their role in skeletogenesis.
  • Evidence snippets:
  • Snippet 1 (score: 0.344) > In this review, we discussed the main signaling pathways involved in bone development and how mutations in their components have been associated with SD. It is important to highlight that even if the signaling pathways have been discussed independently, there is a complex cross-talk among them at multiple levels. This, in association with the evidence that the mutation consequences depend on the specificity of the mutations and on their temporal and spatial mode of action, makes more difficult the understanding of the physiopathological mechanisms of these diseases. Moreover, these signaling pathways can be secondarily affected by alterations in other cellular processes, such as extracellular matrix regulation or metabolic processing. Indeed, several skeletal dysplasia, that we decided to omit in this review, have been associated with mutations in these processes. Fortunately, in the last decade, the development of new technologies, like whole exome and genome sequencing has accelerated the identification of skeletal dysplasia-causing mutations. On the other hand, the development of CRISPR-Cas9 technology and of several mouse models is helping the deciphering of the physiopathological mechanisms. Advanced genetic testing is also helping the diagnosis of skeletal dysplasia. The diagnosis and management of these pathologies have long been based on clinical feature and skeletal imaging. Today, these key techniques are increasingly combined with the genetic testing in order to obtain a more accurate and early diagnosis of SD. It also aids in prognosis and in counselling families regarding genetic recurrence risk and preconceptional reproductive planning [212][213][214]. These continuous discoveries will help to expand the genotype-phenotype correlation of SD and to develop new therapeutic strategies. Nowadays, few treatments are available for SD, but several clinical trials are ongoing to validate new drugs targeting specifically these pathways in achondroplasia or FOP for example, and highlighting the importance of multidisciplinary cross talks (from bed to bench side) [215].

Notes

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