A transcriptomic and epigenomic cell atlas of the mouse primary motor cortex.

Single-cell transcriptomics can provide quantitative molecular signatures for large, unbiased samples of the diverse cell types in the brain1-3. With the proliferation of multi-omics datasets, a major challenge is to validate and integrate results into a biological understanding of cell-type organization. Here we generated transcriptomes and epigenomes from more than 500,000 individual cells in the mouse primary motor cortex, a structure that has an evolutionarily conserved role in locomotion. We developed computational and statistical methods to integrate multimodal data and quantitatively validate cell-type reproducibility. The resulting reference atlas-containing over 56 neuronal cell types that are highly replicable across analysis methods, sequencing technologies and modalities-is a comprehensive molecular and genomic account of the diverse neuronal and non-neuronal cell types in the mouse primary motor cortex. The atlas includes a population of excitatory neurons that resemble pyramidal cells in layer 4 in other cortical regions4. We further discovered thousands of concordant marker genes and gene regulatory elements for these cell types. Our results highlight the complex molecular regulation of cell types in the brain and will directly enable the design of reagents to target specific cell types in the mouse primary motor cortex for functional analysis.

The DO-KB Knowledgebase: a 20-year journey developing the disease open science ecosystem.

In 2003, the Human Disease Ontology (DO, https://disease-ontology.org/) was established at Northwestern University. In the intervening 20 years, the DO has expanded to become a highly-utilized disease knowledge resource. Serving as the nomenclature and classification standard for human diseases, the DO provides a stable, etiology-based structure integrating mechanistic drivers of human disease. Over the past two decades the DO has grown from a collection of clinical vocabularies, into an expertly curated semantic resource of over 11300 common and rare diseases linking disease concepts through more than 37000 vocabulary cross mappings (v2023-08-08). Here, we introduce the recently launched DO Knowledgebase (DO-KB), which expands the DO's representation of the diseaseome and enhances the findability, accessibility, interoperability and reusability (FAIR) of disease data through a new SPARQL service and new Faceted Search Interface. The DO-KB is an integrated data system, built upon the DO's semantic disease knowledge backbone, with resources that expose and connect the DO's semantic knowledge with disease-related data across Open Linked Data resources. This update includes descriptions of efforts to assess the DO's global impact and improvements to data quality and content, with emphasis on changes in the last two years.

The Neuroscience Multi-Omic Archive: a BRAIN Initiative resource for single-cell transcriptomic and epigenomic data from the mammalian brain.

Scalable technologies to sequence the transcriptomes and epigenomes of single cells are transforming our understanding of cell types and cell states. The Brain Research through Advancing Innovative Neurotechnologies (BRAIN) Initiative Cell Census Network (BICCN) is applying these technologies at unprecedented scale to map the cell types in the mammalian brain. In an effort to increase data FAIRness (Findable, Accessible, Interoperable, Reusable), the NIH has established repositories to make data generated by the BICCN and related BRAIN Initiative projects accessible to the broader research community. Here, we describe the Neuroscience Multi-Omic Archive (NeMO Archive; nemoarchive.org), which serves as the primary repository for genomics data from the BRAIN Initiative. Working closely with other BRAIN Initiative researchers, we have organized these data into a continually expanding, curated repository, which contains transcriptomic and epigenomic data from over 50 million brain cells, including single-cell genomic data from all of the major regions of the adult and prenatal human and mouse brains, as well as substantial single-cell genomic data from non-human primates. We make available several tools for accessing these data, including a searchable web portal, a cloud-computing interface for large-scale data processing (implemented on Terra, terra.bio), and a visualization and analysis platform, NeMO Analytics (nemoanalytics.org).

The Human Disease Ontology 2022 update.

The Human Disease Ontology (DO) (www.disease-ontology.org) database, has significantly expanded the disease content and enhanced our userbase and website since the DO's 2018 Nucleic Acids Research DATABASE issue paper. Conservatively, based on available resource statistics, terms from the DO have been annotated to over 1.5 million biomedical data elements and citations, a 10× increase in the past 5 years. The DO, funded as a NHGRI Genomic Resource, plays a key role in disease knowledge organization, representation, and standardization, serving as a reference framework for multiscale biomedical data integration and analysis across thousands of clinical, biomedical and computational research projects and genomic resources around the world. This update reports on the addition of 1,793 new disease terms, a 14% increase of textual definitions and the integration of 22 137 new SubClassOf axioms defining disease to disease connections representing the DO's complex disease classification. The DO's updated website provides multifaceted etiology searching, enhanced documentation and educational resources.

HMPDACC: a Human Microbiome Project Multi-omic data resource.

The Human Microbiome Project (HMP) explored microbial communities of the human body in both healthy and disease states. Two phases of the HMP (HMP and iHMP) together generated >48TB of data (public and controlled access) from multiple, varied omics studies of both the microbiome and associated hosts. The Human Microbiome Project Data Coordination Center (HMPDACC) was established to provide a portal to access data and resources produced by the HMP. The HMPDACC provides a unified data repository, multi-faceted search functionality, analysis pipelines and standardized protocols to facilitate community use of HMP data. Recent efforts have been put toward making HMP data more findable, accessible, interoperable and reusable. HMPDACC resources are freely available at www.hmpdacc.org.

Human Disease Ontology 2018 update: classification, content and workflow expansion.

The Human Disease Ontology (DO) (http://www.disease-ontology.org), database has undergone significant expansion in the past three years. The DO disease classification includes specific formal semantic rules to express meaningful disease models and has expanded from a single asserted classification to include multiple-inferred mechanistic disease classifications, thus providing novel perspectives on related diseases. Expansion of disease terms, alternative anatomy, cell type and genetic disease classifications and workflow automation highlight the updates for the DO since 2015. The enhanced breadth and depth of the DO's knowledgebase has expanded the DO's utility for exploring the multi-etiology of human disease, thus improving the capture and communication of health-related data across biomedical databases, bioinformatics tools, genomic and cancer resources and demonstrated by a 6.6× growth in DO's user community since 2015. The DO's continual integration of human disease knowledge, evidenced by the more than 200 SVN/GitHub releases/revisions, since previously reported in our DO 2015 NAR paper, includes the addition of 2650 new disease terms, a 30% increase of textual definitions, and an expanding suite of disease classification hierarchies constructed through defined logical axioms.

Metaviz: interactive statistical and visual analysis of metagenomic data.

Large studies profiling microbial communities and their association with healthy or disease phenotypes are now commonplace. Processed data from many of these studies are publicly available but significant effort is required for users to effectively organize, explore and integrate it, limiting the utility of these rich data resources. Effective integrative and interactive visual and statistical tools to analyze many metagenomic samples can greatly increase the value of these data for researchers. We present Metaviz, a tool for interactive exploratory data analysis of annotated microbiome taxonomic community profiles derived from marker gene or whole metagenome shotgun sequencing. Metaviz is uniquely designed to address the challenge of browsing the hierarchical structure of metagenomic data features while rendering visualizations of data values that are dynamically updated in response to user navigation. We use Metaviz to provide the UMD Metagenome Browser web service, allowing users to browse and explore data for more than 7000 microbiomes from published studies. Users can also deploy Metaviz as a web service, or use it to analyze data through the metavizr package to interoperate with state-of-the-art analysis tools available through Bioconductor. Metaviz is free and open source with the code, documentation and tutorials publicly accessible.

Automatic CT-based finite element model generation for temperature-based death time estimation: feasibility study and sensitivity analysis.

Temperature-based death time estimation is based either on simple phenomenological models of corpse cooling or on detailed physical heat transfer models. The latter are much more complex but allow a higher accuracy of death time estimation, as in principle, all relevant cooling mechanisms can be taken into account.Here, a complete workflow for finite element-based cooling simulation is presented. The following steps are demonstrated on a CT phantom: Computer tomography (CT) scan Segmentation of the CT images for thermodynamically relevant features of individual geometries and compilation in a geometric computer-aided design (CAD) model Conversion of the segmentation result into a finite element (FE) simulation model Computation of the model cooling curve (MOD) Calculation of the cooling time (CTE) For the first time in FE-based cooling time estimation, the steps from the CT image over segmentation to FE model generation are performed semi-automatically. The cooling time calculation results are compared to cooling measurements performed on the phantoms under controlled conditions. In this context, the method is validated using a CT phantom. Some of the phantoms' thermodynamic material parameters had to be determined via independent experiments.Moreover, the impact of geometry and material parameter uncertainties on the estimated cooling time is investigated by a sensitivity analysis.

Disease Ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data.

The current version of the Human Disease Ontology (DO) (http://www.disease-ontology.org) database expands the utility of the ontology for the examination and comparison of genetic variation, phenotype, protein, drug and epitope data through the lens of human disease. DO is a biomedical resource of standardized common and rare disease concepts with stable identifiers organized by disease etiology. The content of DO has had 192 revisions since 2012, including the addition of 760 terms. Thirty-two percent of all terms now include definitions. DO has expanded the number and diversity of research communities and community members by 50+ during the past two years. These community members actively submit term requests, coordinate biomedical resource disease representation and provide expert curation guidance. Since the DO 2012 NAR paper, there have been hundreds of term requests and a steady increase in the number of DO listserv members, twitter followers and DO website usage. DO is moving to a multi-editor model utilizing Protégé to curate DO in web ontology language. This will enable closer collaboration with the Human Phenotype Ontology, EBI's Ontology Working Group, Mouse Genome Informatics and the Monarch Initiative among others, and enhance DO's current asserted view and multiple inferred views through reasoning.

Disease Ontology: a backbone for disease semantic integration.

The Disease Ontology (DO) database (http://disease-ontology.org) represents a comprehensive knowledge base of 8043 inherited, developmental and acquired human diseases (DO version 3, revision 2510). The DO web browser has been designed for speed, efficiency and robustness through the use of a graph database. Full-text contextual searching functionality using Lucene allows the querying of name, synonym, definition, DOID and cross-reference (xrefs) with complex Boolean search strings. The DO semantically integrates disease and medical vocabularies through extensive cross mapping and integration of MeSH, ICD, NCI's thesaurus, SNOMED CT and OMIM disease-specific terms and identifiers. The DO is utilized for disease annotation by major biomedical databases (e.g. Array Express, NIF, IEDB), as a standard representation of human disease in biomedical ontologies (e.g. IDO, Cell line ontology, NIFSTD ontology, Experimental Factor Ontology, Influenza Ontology), and as an ontological cross mappings resource between DO, MeSH and OMIM (e.g. GeneWiki). The DO project (http://diseaseontology.sf.net) has been incorporated into open source tools (e.g. Gene Answers, FunDO) to connect gene and disease biomedical data through the lens of human disease. The next iteration of the DO web browser will integrate DO's extended relations and logical definition representation along with these biomedical resource cross-mappings.

Cocaine-Induced Asthma and the "Crack Lung": A Case Report.

Cocaine, the second most used illicit drug, is associated with cardiovascular, pulmonary, and other complications. Lung involvement associated with cocaine use, also known as "crack lung syndrome" (CLS), can elicit new-onset and exacerbate chronic pulmonary conditions. A 28-year-old female with a history of chronic controlled asthma arrived at the Emergency Department (ED), referring to cocaine inhalation, followed by symptoms compatible with an asthmatic crisis, requiring immediate steroid and bronchodilator therapy. Radiological studies and bronchoscopy confirmed CLS diagnosis. Despite treatment with oxygen, bronchodilators, and steroids, the asthmatic crises persisted. However, after 48 hours, we observed a complete regression of the lung infiltrates. This case highlights the importance of clinical suspicion, bronchoscopy findings, and the potential co-occurrence of CLS with asthma exacerbations. While computed tomography (CT) scans can be helpful, they should not be the only tool to diagnose CLS. The successful management of CLS involves the use of bronchodilators, steroids, and oxygen therapy and abstaining from cocaine use. Researchers should conduct further studies to diagnose and treat CLS in conjunction with acute asthma symptoms to assist this patient population better.

GeMInA, Genomic Metadata for Infectious Agents, a geospatial surveillance pathogen database.

The Gemina system (http://gemina.igs.umaryland.edu) identifies, standardizes and integrates the outbreak metadata for the breadth of NIAID category A-C viral and bacterial pathogens, thereby providing an investigative and surveillance tool describing the Who [Host], What [Disease, Symptom], When [Date], Where [Location] and How [Pathogen, Environmental Source, Reservoir, Transmission Method] for each pathogen. The Gemina database will provide a greater understanding of the interactions of viral and bacterial pathogens with their hosts and infectious diseases through in-depth literature text-mining, integrated outbreak metadata, outbreak surveillance tools, extensive ontology development, metadata curation and representative genomic sequence identification and standards development. The Gemina web interface provides metadata selection and retrieval of a pathogen's; Infection Systems (Pathogen, Host, Disease, Transmission Method and Anatomy) and Incidents (Location and Date) along with a hosts Age and Gender. The Gemina system provides an integrated investigative and geospatial surveillance system connecting pathogens, pathogen products and disease anchored on the taxonomic ID of the pathogen and host to identify the breadth of hosts and diseases known for these pathogens, to identify the extent of outbreak locations, and to identify unique genomic regions with the DNA Signature Insignia Detection Tool.

Making Common Fund data more findable: catalyzing a data ecosystem.

The Common Fund Data Ecosystem (CFDE) has created a flexible system of data federation that enables researchers to discover datasets from across the US National Institutes of Health Common Fund without requiring that data owners move, reformat, or rehost those data. This system is centered on a catalog that integrates detailed descriptions of biomedical datasets from individual Common Fund Programs' Data Coordination Centers (DCCs) into a uniform metadata model that can then be indexed and searched from a centralized portal. This Crosscut Metadata Model (C2M2) supports the wide variety of data types and metadata terms used by individual DCCs and can readily describe nearly all forms of biomedical research data. We detail its use to ingest and index data from 11 DCCs.

Ergatis: a web interface and scalable software system for bioinformatics workflows.

MOTIVATION: The growth of sequence data has been accompanied by an increasing need to analyze data on distributed computer clusters. The use of these systems for routine analysis requires scalable and robust software for data management of large datasets. Software is also needed to simplify data management and make large-scale bioinformatics analysis accessible and reproducible to a wide class of target users. RESULTS: We have developed a workflow management system named Ergatis that enables users to build, execute and monitor pipelines for computational analysis of genomics data. Ergatis contains preconfigured components and template pipelines for a number of common bioinformatics tasks such as prokaryotic genome annotation and genome comparisons. Outputs from many of these components can be loaded into a Chado relational database. Ergatis was designed to be accessible to a broad class of users and provides a user friendly, web-based interface. Ergatis supports high-throughput batch processing on distributed compute clusters and has been used for data management in a number of genome annotation and comparative genomics projects. AVAILABILITY: Ergatis is an open-source project and is freely available at http://ergatis.sourceforge.net.

Interactive exploratory data analysis of Integrative Human Microbiome Project data using Metaviz.

The rich data produced by the second phase of the Human Microbiome Project (iHMP) offers a unique opportunity to test hypotheses that interactions between microbial communities and a human host might impact an individual's health or disease status. In this work we describe infrastructure that integrates Metaviz, an interactive microbiome data analysis and visualization tool, with the iHMP Data Coordination Center web portal and the HMP2Data R/Bioconductor package. We describe integrative statistical and visual analyses of two datasets from iHMP using Metaviz along with the metagenomeSeq R/Bioconductor package for statistical analysis of differential abundance analysis. These use cases demonstrate the utility of a combined approach to access and analyze data from this resource.

Resveratrol protects primary rat hepatocytes against oxidative stress damage: activation of the Nrf2 transcription factor and augmented activities of antioxidant enzymes.

Oxidative stress is recognized as an important factor in the development of liver pathologies. The reactive oxygen species endogenously generated or as a consequence of xenobiotic metabolism are eliminated by enzymatic and nonenzymatic cellular systems. Besides endogen defences, the antioxidant consumption in the diet has an important role in the protection against the development of diseases product of oxidative damage. Resveratrol is a naturally occurring compound which is part of the human diet. This molecule has been shown to have many biological properties, including antioxidant activity. We decided to test if resveratrol could protect primary hepatocytes in culture from oxidative stress damage and if so, to determine if this compound affects the cellular detoxifying systems and their regulation through the Nrf2 transcription factor that regulates the expression of antioxidant and phase II detoxifying enzymes. Cell death by necrosis was detected by measuring the activity of lactate dehydrogenase liberated to the medium. The activities of antioxidant and phase II enzymes were measured using previously described methods. Activation of the Nrf2 transcription factor was studied by confocal microscopy and the Nrf2 and its coding mRNA levels were determined by western blot and quantitative PCR respectively. Resveratrol pre-treatment effectively protected hepatocytes in culture exposed to oxidative stress, increasing the activities of catalase, superoxide dismutase, glutathione peroxidase, NADPH quinone oxidoreductase and glutathione-S-transferase. Resveratrol increases the level of Nrf2 and induces its translocation to the nucleus. Also, it increases the concentration of the coding mRNA for Nrf2. In this work we show that resveratrol could be a useful drug for the protection of liver cells from oxidative stress induced damage.

Cryptosporidium hominis gene catalog: a resource for the selection of novel Cryptosporidium vaccine candidates.

Human cryptosporidiosis, caused primarily by Cryptosporidium hominis and a subset of Cryptosporidium parvum, is a major cause of moderate-to-severe diarrhea in children under 5 years of age in developing countries and can lead to nutritional stunting and death. Cryptosporidiosis is particularly severe and potentially lethal in immunocompromised hosts. Biological and technical challenges have impeded traditional vaccinology approaches to identify novel targets for the development of vaccines against C. hominis, the predominant species associated with human disease. We deemed that the existence of genomic resources for multiple species in the genus, including a much-improved genome assembly and annotation for C. hominis, makes a reverse vaccinology approach feasible. To this end, we sought to generate a searchable online resource, termed C. hominis gene catalog, which registers all C. hominis genes and their properties relevant for the identification and prioritization of candidate vaccine antigens, including physical attributes, properties related to antigenic potential and expression data. Using bioinformatic approaches, we identified ∼400 C. hominis genes containing properties typical of surface-exposed antigens, such as predicted glycosylphosphatidylinositol (GPI)-anchor motifs, multiple transmembrane motifs and/or signal peptides targeting the encoded protein to the secretory pathway. This set can be narrowed further, e.g. by focusing on potential GPI-anchored proteins lacking homologs in the human genome, but with homologs in the other Cryptosporidium species for which genomic data are available, and with low amino acid polymorphism. Additional selection criteria related to recombinant expression and purification include minimizing predicted post-translation modifications and potential disulfide bonds. Forty proteins satisfying these criteria were selected from 3745 proteins in the updated C. hominis annotation. The immunogenic potential of a few of these is currently being tested.Database URL: http://cryptogc.igs.umaryland.edu.

Morphophysiological evaluation of Bauhinia divaricata L. (Fabaceae) plants at different water regimes / Avaliação morfofisiológica em plantas de Bauhinia divaricata L. (Fabaceae) em diferentes regimes hídricos

The pata-de-vaca (Bauhinia divaricata L.) tree is a species widely distributed in Brazil, it has a high ornamental and economic value. Its leaves are used in renal inflammations, such as diuretic, hypoglycemic, being considered a medicinal plant of popular use. The research was carried out in a greenhouse belonging to the Laboratório de Ecologia Vegetal, at the Centro de Ciências Agrárias (CCA), from Universidade Federal of Paraíba (UFPB). The objective was to evaluate the morphophysiological characteristics of B. divaricata plants at different water regimes. The experimental design was completely randomized with five water treatments 1 (100% control), 2 (80%), 3 (60%), 4 (40%) and 5 (20%) of the container capacity. The height, number of leaves and stem diameter were evaluated weekly. At the end of the experiment the plants had their organs separated and taken to the greenhouse to obtain the dry matter of the leaves, stem, roots and total dry matter, and also, biomass allocation in the leaves, stem and roots. Plant height did not differ statistically between the treatments. The number of leaves, diameter, leaf, stem and root allocation and root and shoot dry matter were higher under water availability (100% of container capacity). For the production of B. divaricata L. seedlings water regime should be 100% and 80% of the container capacity, but the seedlings grow satisfactorily.

A pata-de-vaca (Bauhinia divaricata L.) é uma espécie arbórea, amplamente distribuída no Brasil, de alto valor ornamental e econômico. Suas folhas são utilizadas nas inflamações renais, como diuréticas, hipoglicemiantes, sendo considerada uma planta medicinal de uso popular. A pesquisa foi desenvolvida em casa de vegetação pertencente ao Laboratório de Ecologia Vegetal, Centro de Ciências Agrárias (CCA), Universidade Federal da Paraíba (UFPB). O Objetivo foi avaliar as características morfofisiológicas em plantas de Bauhinia divaricata em diferentes regimes hídricos. O delineamento experimental foi inteiramente casualizado com cinco tratamentos hídrico 100%, 80%, 60%, 40% e 20% da capacidade de pote. Avaliou-se, semanalmente a altura, número de folhas e diâmetro do caule. Ao final do experimento as plantas tiveram seus órgãos separados e levados à estufa para obtenção da matéria seca das folhas, caule, raízes e massa seca total, e ainda, alocação de biomassa nas folhas, caule e raízes. A altura de plantas não diferiu estatisticamente entre os tratamentos, o número de folhas, diâmetro, alocação de folhas, caules e raízes e massas seca da raiz e parte aérea foram maiores sob maior disponibilidade de água (100% da capacidade do recipiente). Para a produção de mudas de B. divaricata L. o regime hídrico deve ser de 100% e 80% da capacidade do recipiente, porém as mudas crescem satisfatoriamente.

[Moebius syndrome. Clinical case report]. / Síndrome de Moebius. Informe de un caso clínico.

BACKGROUND: Moebius syndrome (MBS) is an infrequent disease, having an incidence of 1 in 10,000 births, mainly characterized by a congenital bilateral facial paralysis due to an agenesia of the sixth and seventh cranial nerves. In addition, orofacial and limb anomalies are frequently found in these patients. The diagnosis is fundamentally based on different clinical manifestations of the disorder. CLINICAL CASE: a female newborn with the clinical picture of Moebius syndrome is presented, and genetic or environmental aspects are discussed. Since the use of misoprostol for abortion and inducing uterine activity in combination with NSAIDs, the number of newborns with MBS associated with this drug has increased. Nowadays, either genetic or environmental factors are associated with MBS. CONCLUSIONS: it is necessary that the general and medical community be aware of the risk of teratogenic effects of misoprostol, and the usefulness of genetic counseling whenever there is a newborn with Moebius syndrome.

Introducción: el síndrome de Moebius (MBS) es una enfermedad poco frecuente que tiene una incidencia de 1 por cada 10 000 nacimientos. Se caracteriza principalmente por parálisis facial bilateral congénita debido a una agenesia de los núcleos de los nervios craneales del VI y VII par. Además, es frecuente encontrar anomalías orofaciales y de extremidades torácicas y pélvicas en estos pacientes. El diagnóstico se basa fundamentalmente en las distintas manifestaciones clínicas del trastorno. Caso clínico: niña recién nacida con el cuadro clínico de síndrome de Moebius. Se discuten los aspectos genéticos y medioambientales asociados a esta patología. Desde la introducción del misoprostol y su uso inadecuado como agente abortivo e inductor de actividad uterina, y en combinación con antiinflamatorios no esteroideos, se ha observado un incremento en la frecuencia de recién nacidos con síndrome de Moebius asociados al uso de este medicamento. Actualmente, el factor genético y el medioambiental se encuentran asociados a este síndrome. Conclusiones: es importante alertar a la comunidad médica y a la población en general acerca del riesgo teratogénico del misoprostol y de la importancia del consejo de los genetistas cuando nace un paciente con síndrome de Moebius.

Protocolo clínico de pacientes con historia de uso de bifosfonatos / Clinical protocol for patients with history of use of biphosphonates

Los bifosfonatos son un grupo de medicamentos que se han estadoutilizando en los últimas décadas para el tratamiento de padecimientos que se caracterizan por destrucción o pérdida ósea, cáncer, menopausiay enfermedades óseas no malignas por lo cual es muy importante realizar una amplia y correcta historia clínica para evitar las posibles complicaciones en la fase de cicatrización de los procedimientos quirúrgicos odontológicos. Al atender a un paciente con antecedentes de haber usado este medicamento, se debe conocer la farmacocinética y farmacodinamia para poder planificar el tratamiento pre-, trans- y postoperatorio de los pacientes que serían sometidos principalmente a extracciones dentarias, por lo cual actualmente se puede clasificar a este tipo de pacientes de acuerdo a los resultados de la prueba de laboratorio de la proteína C-telopéptido. Una vez determinado el riesgo del paciente de acuerdo a los resultados de dicha prueba se puede realizar un plan de tratamiento más seguro y eficaz para el paciente en donde se tomen las precauciones necesarias para no evitar una osteonecrosis mandibular o maxilar. Se presenta un caso clínico de un paciente con historia de bifosfonatos en donde se hace el tratamiento de acuerdo a los lineamientos actuales para tratar a este tipo de pacientes.

Bisphosphonates are a group medications that have been used for the last decades for the treatment of conditions that are characterized bybone loss or destruction, cancer, menopause and non-malignant bone diseases, which is why it is very important to make a broad and correctmedical history to avoid the possible complications in the healing phaseof dental surgical treatments. When treating a patient with a history of this drug we should know the pharmacokinetics and pharmacodynamics to be able to plan the pre, trans and postoperative treatment of patientsmainly subject to dental extractions, which is why currently this type ofpatients can be classified according to the results of the laboratory testof the C-Telopeptide protein. Once the patient’s risk has been determined according to the results of this test, an effective and safe treatmentplan can be started for the patient in which the necessary precautionsare taken to not develop a mandibular or maxillary osteonecrosis. We present a case of a patient with a history of bisphosphonates wherethe treatment is done according to the current guidelines for treatingthis type of patients.