[Osteogenesis imperfecta].

J Hamuy; J C Nissen Abente; P R Rolón Arámbulo; A E Campuzano de Rolón

PubMed · 1008940

[Osteogenesis imperfecta].

J Hamuy·J C Nissen Abente·P R Rolón Arámbulo·A E Campuzano de Rolón

Abstract

Our clinical files on osteogenesis imperfecta are brought up-to-date reviewing a total of 33,555 cases admitted between 4/XII/48 and 31/VIII/76. From these, 5 clinical cases were found. The extreme rareness of this regional pathology in our Cátedra y Sericio de Pediatría, which is the largest concentration center in Paraguay had led us to make this publication. From our casuistics, we may single out a three-month-old infant which would be a case of congenital osteogenesis imperfecta. The remaining 4 would correspond to cases of late osteogenesis imperfecta. Generalized osteoporosis was present in 3 patients and all of them showed blue sclera the same as fractures of femur. Fractures of radius, tibia and fibula were seen in 2 cases. The humerus was fractured in one patient and the ulna in another one. Three patients were under one year old, another one was on his second year and the last one was a school ager. An audiologic examination was normal in the nine-year-old patient. In the other 4 cases, it was not possible to carry out such test.

Explore related subjects

Humans Infant Osteogenesis Imperfecta English Abstract Journal Article

Keep this discovery

Explore connections, maps & timelines

BibTeX RIS

J Hamuy, J C Nissen Abente, P R Rolón Arámbulo, A E Campuzano de Rolón. [Osteogenesis imperfecta].. https://pubmed.ncbi.nlm.nih.gov/1008940/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2027

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans↗

PubMed2027

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans↗

PubMed2027

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans↗