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1.
Orphanet J Rare Dis ; 19(1): 327, 2024 Sep 06.
Article in English | MEDLINE | ID: mdl-39243101

ABSTRACT

The diagnostic odysseys for rare disease patients are getting shorter as next-generation sequencing becomes more widespread. However, the complex genetic diversity and factors influencing expressivity continue to challenge accurate diagnosis, leaving more than 50% of genetic variants categorized as variants of uncertain significance.Genomic expression intricately hinges on localized interactions among its products. Conventional variant prioritization, biased towards known disease genes and the structure-function paradigm, overlooks the potential impact of variants shaping the composition, location, size, and properties of biomolecular condensates, genuine membraneless organelles swiftly sensing and responding to environmental changes, and modulating expressivity.To address this complexity, we propose to focus on the nexus of genetic variants within biomolecular condensates determinants. Scrutinizing variant effects in these membraneless organelles could refine prioritization, enhance diagnostics, and unveil the molecular underpinnings of rare diseases. Integrating comprehensive genome sequencing, transcriptomics, and computational models can unravel variant pathogenicity and disease mechanisms, enabling precision medicine. This paper presents the rationale driving our proposal and describes a protocol to implement this approach. By fusing state-of-the-art knowledge and methodologies into the clinical practice, we aim to redefine rare diseases diagnosis, leveraging the power of scientific advancement for more informed medical decisions.


Subject(s)
Rare Diseases , Humans , Rare Diseases/genetics , High-Throughput Nucleotide Sequencing , Genetic Variation/genetics
2.
Cureus ; 16(8): e66002, 2024 Aug.
Article in English | MEDLINE | ID: mdl-39221333

ABSTRACT

Superior mesenteric artery (SMA) syndrome causes duodenal obstruction between the SMA and aorta, which culminates into bowel obstruction. Meanwhile, nutcracker syndrome (NCS) involves left renal vein compression between the aorta and SMA, categorized by the compression site. We present a 15-year-old female with no prior medical or surgical history who displayed early signs of the rarely coexisting SMA and nutcracker phenomena, which were managed symptomatically along with nutritional support to reach her optimal body mass index.

3.
Cureus ; 16(8): e66303, 2024 Aug.
Article in English | MEDLINE | ID: mdl-39238744

ABSTRACT

Bullous pemphigoid (BP) is an acquired auto-immune blistering disease, which is uncommon during childhood. Infantile BP usually has a good prognosis with rare recurrence and the suspected triggers are vaccines or viruses. We report the case of a three-month-old infant girl who presented with BP a week after a SARS-CoV-2 infection and three weeks after the first doses of polio, tetanus, diphtheria, pertussis, Haemophilus influenzae type-b, hepatitis, and pneumococcus vaccinations. Both triggers (infection and vaccination) could be implicated as a slight recurrence was observed after the second doses of vaccines. Rapid clinical resolution was obtained with topical corticosteroids.

4.
Genes Dis ; 11(6): 101130, 2024 Nov.
Article in English | MEDLINE | ID: mdl-39220754

ABSTRACT

The recent advances in high throughput sequencing technology have drastically changed the practice of medical diagnosis, allowing for rapid identification of hundreds of genes causing human diseases. This unprecedented progress has made clear that most forms of intellectual disability that affect more than 3% of individuals worldwide are monogenic diseases. Strikingly, a substantial fraction of the mendelian forms of intellectual disability is associated with genes related to the ubiquitin-proteasome system, a highly conserved pathway made up of approximately 1200 genes involved in the regulation of protein homeostasis. Within this group is currently emerging a new class of neurodevelopmental disorders specifically caused by proteasome pathogenic variants which we propose to designate "neurodevelopmental proteasomopathies". Besides cognitive impairment, these diseases are typically associated with a series of syndromic clinical manifestations, among which facial dysmorphism, motor delay, and failure to thrive are the most prominent ones. While recent efforts have been made to uncover the effects exerted by proteasome variants on cell and tissue landscapes, the molecular pathogenesis of neurodevelopmental proteasomopathies remains ill-defined. In this review, we discuss the cellular changes typically induced by genomic alterations in proteasome genes and explore their relevance as biomarkers for the diagnosis, management, and potential treatment of these new rare disease entities.

5.
Article in German | MEDLINE | ID: mdl-39242221

ABSTRACT

Technological and scientific innovations in the area of gene and cell therapies, so-called advanced therapy medicinal products (ATMPs), have contributed to the steep increase in treatment options for patients with rare diseases. They offer opportunities to address the underlying genetic defect by gene addition, i.e., the delivery of the gene of interest to the target cells, or by genome editing approaches through direct repair of disease-causing mutations. This paper outlines clinical evidence requirements in the context of marketing authorisations for rare diseases. Two out of fifteen gene therapies that have been approved in the European Union since 2018 are used as case studies: Libmeldy (atidarsagen autotemcel) for the treatment of patients with metachromatic leukodystrophy, and Roctavian (valoctocogen roxaparvovec) for the treatment of patients with haemophilia A. Special aspects of the evaluation of single-arm trials with small sample size and requirements with regard to the isolation and causal attribution of the treatment effect are discussed. The role of clinical data obtained under everyday conditions (real world data) to support the generation of evidence in the pre- and post authorisation phase is critically examined. Furthermore, the paper outlines aspects related to conditional versus standard marketing authorisations as well as aspects related to registry-based non-interventional studies in the context of market and patient access to urgently needed drugs.

6.
J Multidiscip Healthc ; 17: 4199-4212, 2024.
Article in English | MEDLINE | ID: mdl-39224484

ABSTRACT

Purpose: Traditional value assessment frameworks are challenged in comprehensively assessing the societal value new therapies bring to individuals with rare, progressive, genetic, fatal, neuromuscular diseases such as Duchenne muscular dystrophy (DMD). The objective of this study was to identify how value assessment frameworks may need to be adapted to measure the value to society of DMD therapies. Patients and Methods: Three stakeholder groups (6 patient advocates, 4 clinicians, 3 health economists; N = 13) participated in semi-structured interviews around the International Society for Pharmacoeconomics and Outcomes Research's Value Flower, which includes elements to consider within value assessments of healthcare technologies. Results: All stakeholders agreed that traditional value assessment frameworks based on the quality-adjusted life year (QALY) are narrow and will undervalue new DMD therapies. All stakeholders expressed some level of concern that using the QALY as a key metric of value discriminates against patients with severe progressive diseases and disabilities. Some stakeholders saw value in using the QALY for cross-disease comparisons in resource-constrained environments if the methodology was appropriate. All stakeholders recommended considering additional elements of value in decision-making around new DMD therapies. These elements reflect: economic and humanistic costs incurred by patients, caregivers, and families with Duchenne, such as indirect out-of-pocket costs, lost productivity, and family spillovers; meaningful attributes for individuals with disabilities and high unmet need, such as severity of disease, value of hope, and real option value; and factors that contribute to improvements in population health, such as insurance value, equity, and scientific spillovers. Conclusion: These findings highlight the need to expand traditional value assessment frameworks and take a holistic approach that incorporates the perspectives of individuals with Duchenne, caregivers, clinicians, and health economists when assessing the societal value of new DMD therapies. Broadening value assessment will prevent restricted or delayed access to therapies for individuals with Duchenne.

7.
J Relig Health ; 2024 Aug 05.
Article in English | MEDLINE | ID: mdl-39103591

ABSTRACT

Most children with a rare disease are cared for by their family members but parenting such a child is extremely demanding due to the complexity and severity of symptoms, with serious physical, emotional, social, and financial consequences for caregivers. Although religion may serve as a positive coping strategy, little is known about its role in helping caregivers manage the stress related to the burden of caregiving in Poland. Therefore, we surveyed 925 Polish family caregivers of children with rare diseases to understand the association between caregivers' religiosity and their caring experiences. The findings suggest that parents' religiosity is associated with a more positive caregiving experience, perceived quality of life, and experienced caregiving burden. While religious caregivers reported experiencing less distressing emotions and stressed the encouraging impact of their child's disease on their life more often, non-religious caregivers experienced role captivity and role overload more frequently. Since religion may serve as a source of strength and a protecting factor against mental health problems and the burden of caregiving, healthcare professionals should be aware of the importance of religious and spiritual care, and caregivers' religiosity should be considered an integral part of a holistic approach.

8.
J Clin Med ; 13(15)2024 Aug 01.
Article in English | MEDLINE | ID: mdl-39124776

ABSTRACT

Background: Caregiving experiences in rare diseases (RDs) vary based on factors such as specific clinical entity, disease severity, the child's age, and available support and resources, leading to challenges that significantly impact caregivers' lives. This study investigates whether caregivers of children with different RDs encounter varied aspects of care. Methods: This study was conducted as a self-administered, anonymous, computer-assisted online survey, focusing on the challenges of caregiving for children with RDs. Questions covered aspects such as information availability on RDs, diagnostic processes, modern treatment accessibility, family physicians and specialists, the impact of caregiving on personal life, family dynamics, and financial challenges. To achieve our study objectives, we categorized caregivers of children with RDs into two groups to compare various aspects of caregiving: caregivers of children with phenylketonuria (PKU) (n = 175) and those caring for children with life-limiting rare diseases (LLRD) (n = 226). Results: Caregivers of children with LLRD reported greater emotional challenges, personal sacrifices, and financial burdens compared to caregivers of children with PKU. Significant differences included heightened emotional distress, more frequent conflicts, and lower assessments of healthcare support among LLRD caregivers. Although family support ratings were similar between the groups, perceptions of financial concerns and interactions with the healthcare system varied significantly. Conclusions: This study, representing the inaugural systematic comparison of specific caregiver cohorts overseeing children with RDs across a substantial sample size, provides valuable insights. The findings lay a crucial foundation for precisely tailoring assistance and support initiatives to meet the unique needs of caregivers facing various RDs in diverse contexts.

9.
Stud Health Technol Inform ; 316: 1418-1419, 2024 Aug 22.
Article in English | MEDLINE | ID: mdl-39176646

ABSTRACT

Rare neuromuscular diseases (NMDs) encompass various disorders of the nervous system and skeletal muscles, and present intricate challenges in diagnosis, treatment, and research due to their low prevalence and often diverse multisystemic manifestations. Leveraging collected patient data for secondary use and analysis holds promise for advancing medical understanding in this field. However, a certain level of data quality is a prerequisite for the methods that can be used to analyze data. The heterogeneous nature of NMDs poses a significant obstacle to the creation of standardized documentation, as there are still many challenges to accurate diagnosis and many discrepancies in the diagnostic process between different countries. This paper proposes the development of an information model tailored to NMDs, aiming to augment visibility, address deficiencies in documentation, and facilitate comprehensive analysis and research endeavors. By providing a structured framework, this model seeks to propel advancements in understanding and managing NMD, ultimately benefiting patients and healthcare providers worldwide.


Subject(s)
Documentation , Neuromuscular Diseases , Rare Diseases , Neuromuscular Diseases/diagnosis , Humans , Rare Diseases/diagnosis , Rare Diseases/therapy , Documentation/standards , Electronic Health Records
10.
Stud Health Technol Inform ; 316: 1449-1450, 2024 Aug 22.
Article in English | MEDLINE | ID: mdl-39176654

ABSTRACT

This paper presents ongoing work on the modeling of different datasets using the ART-DECOR modeling tool, with a focus on adherence to the FAIR principles (Findable, Accessible, Interoperable, and Reusable). The successful modeling of the French minimal dataset for rare diseases (Set de donnees minimal des maladies rares (SDM-MR.fr)) should provide inspiration for the development of the German minimal dataset for rare diseases (Minimalbasisdatensatz fur Seltene Erkrankungen (MBDS-SE.de)).


Subject(s)
Rare Diseases , Humans , Datasets as Topic , Germany , Software , Electronic Health Records , France , Databases, Factual
11.
Stud Health Technol Inform ; 316: 1442-1446, 2024 Aug 22.
Article in English | MEDLINE | ID: mdl-39176652

ABSTRACT

Secondary use of data for research purposes is especially important in rare diseases (RD), since, per definition, data are sparse. The European Joint Programme on Rare Diseases (EJP RD) aims at developing an RD infrastructure which supports the secondary use of data. Significant amounts of RD data are a) distributed and b) available only in pseudonymised format. Privacy-Preserving Record Linkage (PPRL) concerns the linking of such distributed datasets without disclosing the participant's identities. We present a concept for linking a PPRL Service to the EJP RD Virtual Platform (VP). Level 1 (resource discovery) connection is provided by running an FDP within the PPRL Service. On Level 2 (data discoverability), the PPRL Service can represent both, an individual and a catalog endpoint. Our solution can count patients in PPRL-supporting resources, count duplicates only once, and count only patients registered to multiple resources. Currently, we are preparing the deployment within the EJP RD VP.


Subject(s)
Medical Record Linkage , Rare Diseases , Humans , Europe , Medical Record Linkage/methods , Confidentiality , Anonyms and Pseudonyms , Electronic Health Records , Computer Security
12.
Stud Health Technol Inform ; 316: 894-898, 2024 Aug 22.
Article in English | MEDLINE | ID: mdl-39176937

ABSTRACT

With the objective of extracting new knowledge about rare diseases from social media messages, we evaluated three models on a Named Entity Recognition (NER) task, consisting of extracting phenotypes and treatments from social media messages. We trained the three models on a dataset with social media messages about Developmental and Epileptic Encephalopathies and more common diseases. This preliminary study revealed that CamemBERT and CamemBERT-bio exhibit similar performance on social media testimonials, slightly outperforming DrBERT. It also highlighted that their performance was lower on this type of data than on structured health datasets. Limitations, including a narrow focus on NER performance and dataset-specific evaluation, call for further research to fully assess model capabilities on larger and more diverse datasets.


Subject(s)
Social Media , France , Humans , Natural Language Processing , Data Mining/methods , Rare Diseases
13.
Drug Discov Today ; : 104138, 2024 Aug 19.
Article in English | MEDLINE | ID: mdl-39154774

ABSTRACT

Patients diagnosed with rare diseases and their and families search desperately to organize drug discovery campaigns. Alternative models that differ from default paradigms offer real opportunities. There are, however, no clear guidelines for the development of such models, which reduces success rates and raises costs. We address the main challenges in making the discovery of new preclinical treatments more accessible, using rare hereditary paraplegia as a paradigmatic case. First, we discuss the necessary expertise, and the patients' clinical and genetic data. Then, we revisit gene therapy, de novo drug development, and drug repurposing, discussing their applicability. Moreover, we explore a pool of recommended in silico tools for pathogenic variant and protein structure prediction, virtual screening, and experimental validation methods, discussing their strengths and weaknesses. Finally, we focus on successful case applications.

14.
Front Endocrinol (Lausanne) ; 15: 1424819, 2024.
Article in English | MEDLINE | ID: mdl-39092285

ABSTRACT

Bardet-Biedl Syndrome (BBS) is an autosomal recessive non-motile ciliopathy, caused by mutations in more than twenty genes. Their expression leads to the production of BBSome-building proteins or chaperon-like proteins supporting its structure. The prevalence of the disease is estimated at 1: 140,000 - 160,000 of life births. Its main clinical features are retinal dystrophy, polydactyly, obesity, cognitive impairment, hypogonadism, genitourinary malformations, and kidney disease. BBS is characterized by heterogeneous clinical manifestation and the variable onset of signs and symptoms. We present a case series of eight pediatric patients with BBS (6 boys and 2 girls) observed in one clinical center including two pairs of siblings. The patients' age varies between 2 to 13 years (average age of diagnosis: 22 months). At presentation kidney disorders were observed in seven patients, polydactyly in six patients' obesity, and psychomotor development delay in two patients. In two patients with kidney disorders, the genetic tests were ordered at the age of 1 and 6 months due to the presence of symptoms suggesting BBS and having an older sibling with the diagnosis of the syndrome. The mutations in the following genes were confirmed: BBS10, MKKS, BBS7/BBS10, BBS7, BBS9. All described patients developed symptoms related to the urinary system and kidney-function impairment. Other most common symptoms are polydactyly and obesity. In one patient the obesity class 3 was diagnosed with multiple metabolic disorders. In six patients the developmental delay was diagnosed. The retinopathy was observed only in one, the oldest patient. Despite having the same mutations (siblings) or having mutations in the same gene, the phenotypes of the patients are different. We aimed to addresses gaps in understanding BBS by comparing our data and existing literature through a narrative review. This research includes longitudinal data and explores genotype-phenotype correlations of children with BBS. BBS exhibits diverse clinical features and genetic mutations, making diagnosis challenging despite defined criteria. Same mutations can result in different phenotypes. Children with constellations of polydactyly and/or kidney disorders and/or early-onset obesity should be managed towards BBS. Early diagnosis is crucial for effective monitoring and intervention to manage the multisystemic dysfunctions associated with BBS.


Subject(s)
Bardet-Biedl Syndrome , Humans , Bardet-Biedl Syndrome/genetics , Bardet-Biedl Syndrome/diagnosis , Bardet-Biedl Syndrome/therapy , Child , Male , Female , Child, Preschool , Adolescent , Mutation
15.
Front Genet ; 15: 1419025, 2024.
Article in English | MEDLINE | ID: mdl-39092430

ABSTRACT

Introduction: Bardet-Biedl syndrome is a rare condition characterized by obesity, retinitis pigmentosa, polydactyly, development delay, and structural kidney anomalies. This syndrome has an autosomal recessive type of inheritance. For the first time, molecular genetic testing has been provided for a large cohort of Russian patients with Bardet-Biedl syndrome. Materials and methods: Genetic testing was provided to 61 unrelated patients using an MPS panel that includes coding regions and intronic areas of all genes (n = 21) currently associated with Bardet-Biedl syndrome. Results: The diagnosis was confirmed for 41% of the patients (n = 25). Disease-causing variants were observed in BBS1, BBS4, BBS7, TTC8, BBS9, BBS10, BBS12, and MKKS genes. In most cases, pathogenic and likely pathogenic variants were localized in BBS1, BBS10, and BBS7 genes; recurrent variants were also observed in these genes. Discussion: The frequency of pathogenic and likely pathogenic variants in the BBS1 and BBS10 genes among Russian patients matches the research data in other countries. The frequency of pathogenic variants in the BBS7 gene is about 1.5%-2% of patients with Bardet-Biedl syndrome, while in the cohort of Russian patients, the fraction is 24%. In addition, the recurrent pathogenic variant c.1967_1968delinsC was detected in the BBS7 gene. The higher frequency of this variant in the Russian population, as well as the lack of association of this pathogenic variant with Bardet-Biedl syndrome in other populations, suggests that the variant c.1967_1968delinsC in the BBS7 gene is major and has a founder effect in the Russian population. Results provided in this article show the significant role of pathogenic variants in the BBS7 gene for patients with Bardet-Biedl syndrome in the Russian population.

16.
Article in English | MEDLINE | ID: mdl-39186250

ABSTRACT

OBJECTIVES: VEXAS syndrome is an autoinflammatory disease caused by somatic mutation of UBA1 and affects multiple organ systems. Involvement of the kidneys is not well characterized. We aimed to investigate the incidence, risk factors and histopathologic features of acute kidney injury (AKI) in VEXAS syndrome. METHODS: Patients with genetically confirmed UBA1 mutation consistent with VEXAS were included. Charts were manually reviewed. Cox regression analysis was used to identify variables associated with time-to-first acute kidney injury (AKI) event. For patients with a kidney biopsy, histopathologic findings were reviewed. RESULTS: Eighty-one patients were included, all white men, with a mean age of 66.3±8.6 years. Median (IQR) follow up was 3.5 (2.1-5.2) years during which 20 (25%) developed AKI and 22% died. AKI relapsed in 90% of cases for a median of 6 times during the follow up period. Cumulative incidence estimates (95% CI) for AKI at 1, 3 and 5 years were 6.2% (0.80-11.3%), 16.7% (7.5-25.0%) and 27.9% (14.9-38.9%), respectively. Age and baseline C-reactive protein were significantly associated with time-to-first AKI event. Six patients underwent a kidney biopsy. Findings included, plasma cell-rich interstitial nephritis (n = 3), neutrophilic-rich interstitial inflammation (n = 1), leukocytoclastic peritubular capillaritis (n = 1), and acute tubular injury (n = 1). AKI responded well to treatment with glucocorticoids but had relapse upon tapering. CONCLUSION: AKI is an underrecognized feature of VEXAS occurring in 25% of patients in this cohort. Age at diagnosis and CRP were associated with time to first AKI event during follow up. Plasma cell-rich interstitial nephritis was the most common histopathologic finding.

17.
J Pediatr Nurs ; 2024 Aug 16.
Article in English | MEDLINE | ID: mdl-39153916

ABSTRACT

BACKGROUND: Healthcare transition can be challenging for young people and families living with chronic kidney conditions, including those with rare renal disorders who often have multi-systemic conditions, those who have undergone kidney transplantation, and those who face intense treatments like dialysis. Comprehensive, holistic healthcare transition interventions are required, encompassing physical, psychosocial, sexual, educational and vocational support. AIM: This manuscript presents a systematic scoping review synthesising the healthcare transition interventions to support youth and families within nephrology services. METHODS: This review followed Arksey and O'Malley's five-stage framework, updated by Levac, Colquhoun and O'Brien and the Joanna Briggs Institute. Six databases were systematically searched: CINAHL Plus with Full Text, Embase, PsycINFO, Web of Science, PubMed, and the Applied Social Sciences Index and Abstracts (ASSIA), locating 12,662 records. Following a systematic screening process, 28 articles met the inclusion criteria. Results were analysed systematically and presented using the PAGER framework developed by Bradbury-Jones et al. (2022). RESULTS: Various interventions were sourced. Three broad patterns emerged: 1. Contextual Factors, e.g. cultural differences between paediatric and adult services; 2. Major Intervention Components, e.g. parental/familial/peer-to-peer support, and 3. Personal factors, e.g., self-management ability. CONCLUSION: Few interventions are available to support youth with rare renal disorders, specifically. Future research must be directed at this cohort. Healthcare transition timing remains hotly contested, with additional guidance required to support decision-making. Finally, limited interventions have been evaluated for practice. IMPLICATIONS: This review has provided various considerations/recommendations that should be taken into account when designing, implementing or evaluating future healthcare transition supports.

18.
Oral Dis ; 2024 Aug 18.
Article in English | MEDLINE | ID: mdl-39155517

ABSTRACT

OBJECTIVES: To conduct a comprehensive proteomic analysis of normal salivary gland tissue, pleomorphic adenoma (PA), and carcinoma ex-pleomorphic adenoma (CXPA), and validate the proteomic findings using immunohistochemistry. METHODS: Six normal salivary gland tissues, seven PA and seven CXPA samples underwent laser microdissection followed by liquid chromatography coupled to mass spectrometry. Protein identification and quantification were performed using MaxQuant software. Statistical analysis and functional enrichment were conducted using the Perseus platform and STRING tool, respectively. Immunohistochemistry was used for validation. RESULTS: Comparative proteomic analysis revealed 2680 proteins across the three tissue types, with 799 significantly altered between groups. Translocation protein SEC63 homolog, Annexin A6 and Biglycan were up-regulated in CXPA compared to PA. Decorin was markedly up-regulated in both PA and CXPA compared to normal salivary gland (log2 fold changes of 7.58 and 7.38, respectively). Validation confirmed elevated levels of Biglycan and Decorin in the extracellular matrix of CXPA compared to PA. CONCLUSIONS: Proteomic analysis identified differential protein expression patterns associated with malignant transformation of PA into CXPA. Findings indicate a crucial role for extracellular matrix proteins, specifically Biglycan and Decorin, in the tumorigenic progression of PA and CXPA.

19.
Adv Biol (Weinh) ; : e2400134, 2024 Aug 09.
Article in English | MEDLINE | ID: mdl-39123285

ABSTRACT

Premature Aging (PA) diseases are rare genetic disorders that mimic some aspects of physiological aging at an early age. Various causative genes of PA diseases have been identified in recent years, providing insights into some dysfunctional cellular processes. However, the identification of PA genes also revealed significant genetic heterogeneity and highlighted the gaps in this understanding of PA-associated molecular mechanisms. Furthermore, many patients remain undiagnosed. Overall, the current lack of knowledge about PA diseases hinders the development of effective diagnosis and therapies and poses significant challenges to improving patient care. Here, a network-based approach to systematically unravel the cellular functions disrupted in PA diseases is presented. Leveraging a network community identification algorithm, it is delved into a vast multilayer network of biological interactions to extract the communities of 67 PA diseases from their 132 associated genes. It is found that these communities can be grouped into six distinct clusters, each reflecting specific cellular functions: DNA repair, cell cycle, transcription regulation, inflammation, cell communication, and vesicle-mediated transport. That these clusters collectively represent the landscape of the molecular mechanisms that are perturbed in PA diseases, providing a framework for better understanding their pathogenesis is proposed. Intriguingly, most clusters also exhibited a significant enrichment in genes associated with physiological aging, suggesting a potential overlap between the molecular underpinnings of PA diseases and natural aging.

20.
Bioengineering (Basel) ; 11(8)2024 Aug 13.
Article in English | MEDLINE | ID: mdl-39199785

ABSTRACT

Genetic disorders affect over 6% of the global population and pose substantial obstacles to healthcare systems. Early identification of these rare facial genetic disorders is essential for managing related medical complexities and health issues. Many people consider the existing screening techniques inadequate, often leading to a diagnosis several years after birth. This study evaluated the efficacy of deep learning-based classifier models for accurately recognizing dysmorphic characteristics using facial photos. This study proposes a multi-class facial syndrome classification framework that encompasses a unique combination of diseases not previously examined together. The study focused on distinguishing between individuals with four specific genetic disorders (Down syndrome, Noonan syndrome, Turner syndrome, and Williams syndrome) and healthy controls. We investigated how well fine-tuning a few well-known convolutional neural network (CNN)-based pre-trained models-including VGG16, ResNet-50, ResNet152, and VGG-Face-worked for the multi-class facial syndrome classification task. We obtained the most encouraging results by adjusting the VGG-Face model. The proposed fine-tuned VGG-Face model not only demonstrated the best performance in this study, but it also performed better than other state-of-the-art pre-trained CNN models for the multi-class facial syndrome classification task. The fine-tuned model achieved both accuracy and an F1-Score of 90%, indicating significant progress in accurately detecting the specified genetic disorders.

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