CRIS

Permanent URI for this communityhttps://investigadores.udd.cl/handle/123456789/1

Browse

Search Results

Now showing 1 - 10 of 14

Some of the metrics are blocked by your
consent settings
HSV-1 alters lipid metabolism and induces lipid droplet accumulation in functionally impaired mouse dendritic cells
(Elsevier BV, 2025-05)
Mónica A. Farías
;
Felipe A. Cancino
;
Areli J. Navarro
;
DUARTE PEÑALOZA, LUISA FERNANDA
;
Abel A. Soto
Scopus© Citations 6 8
Some of the metrics are blocked by your
consent settings
Understanding the phenotypic variability in Niemann-Pick disease type C (NPC): a need for precision medicine
(2023)
Macarena Las Heras
;
Benjamín Szenfeld
;
Rami A. Ballout
;
Emanuele Buratti
;
Silvana Zanlungo
<jats:title>Abstract</jats:title><jats:p>Niemann-Pick type C (NPC) disease is a lysosomal storage disease (LSD) characterized by the buildup of endo-lysosomal cholesterol and glycosphingolipids due to loss of function mutations in the <jats:italic>NPC1</jats:italic> and <jats:italic>NPC2</jats:italic> genes. NPC patients can present with a broad phenotypic spectrum, with differences at the age of onset, rate of progression, severity, organs involved, effects on the central nervous system, and even response to pharmacological treatments. This article reviews the phenotypic variation of NPC and discusses its possible causes, such as the remaining function of the defective protein, modifier genes, sex, environmental cues, and splicing factors, among others. We propose that these factors should be considered when designing or repurposing treatments for this disease. Despite its seeming complexity, this proposition is not far-fetched, considering the expanding interest in precision medicine and easier access to multi-omics technologies.</jats:p>
Scopus© Citations 7 2
Some of the metrics are blocked by your
consent settings
Association between maternal obesity, essential fatty acids and biomarkers of fetal liver function
(2023)
Macarena Ortiz
;
Francisca Sánchez
;
Daniela Álvarez
;
Cristian Flores
;
Francisca Salas-Pérez
7Scopus© Citations 5
Some of the metrics are blocked by your
consent settings
Cardiovascular Assessment Tool for Breast Cancer Survivors and Oncology Providers: Usability Study
(2021)
Kathryn E Weaver
;
Heidi D Klepin
;
Brian J Wells
;
Emily V Dressler
;
Karen M Winkfield
<jats:sec> <jats:title>Background</jats:title> <jats:p>Cardiovascular health is of increasing concern to breast cancer survivors and their health care providers, as many survivors are more likely to die from cardiovascular disease than cancer. Implementing clinical decision support tools to address cardiovascular risk factor awareness in the oncology setting may enhance survivors’ attainment or maintenance of cardiovascular health.</jats:p> </jats:sec> <jats:sec> <jats:title>Objective</jats:title> <jats:p>We sought to evaluate survivors’ awareness of cardiovascular risk factors and examine the usability of a novel electronic health record enabled cardiovascular health tool from the perspective of both breast cancer survivors and oncology providers.</jats:p> </jats:sec> <jats:sec> <jats:title>Methods</jats:title> <jats:p>Breast cancer survivors (n=49) recruited from a survivorship clinic interacted with the cardiovascular health tool and completed pre and posttool assessments about cardiovascular health knowledge and perceptions of the tool. Oncologists, physician assistants, and nurse practitioners (n=20) who provide care to survivors also viewed the cardiovascular health tool and completed assessments of perceived usability and acceptability.</jats:p> </jats:sec> <jats:sec> <jats:title>Results</jats:title> <jats:p>Enrolled breast cancer survivors (84% White race, 4% Hispanic ethnicity) had been diagnosed 10.8 years ago (SD 6.0) with American Joint Committee on Cancer stage 0, I, or II (45/49, 92%). Prior to viewing the tool, 65% of survivors (32/49) reported not knowing their level for one or more cardiovascular health factors (range 0-4). On average, only 45% (range 0%-86%) of survivors’ known cardiovascular health factors were at an ideal level. More than 50% of survivors had ideal smoking status (45/48, 94%) or blood glucose level (29/45, 64%); meanwhile, less than 50% had ideal blood pressure (12/49, 24%), body mass index (12/49, 24%), cholesterol level (17/35, 49%), diet (7/49, 14%), and physical activity (10/49. 20%). More than 90% of survivors thought the tool was easy to understand (46/47, 98%), improved their understanding (43/47, 91%), and was helpful (45/47, 96%); overall, 94% (44/47 survivors) liked the tool. A majority of survivors (44/47, 94%) thought oncologists should discuss cardiovascular health during survivorship care. Most (12/20, 60%) oncology providers (female: 12/20, 60%; physicians: 14/20, 70%) had been practicing for more than 5 years. Most providers agreed the tool provided useful information (18/20, 90%), would help their effectiveness (18/20, 90%), was easy to use (20/20, 100%), and presented information in a useful format (19/20, 95%); and 85% of providers (17/20) reported they would use the tool most or all of the time when providing survivorship care.</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusions</jats:title> <jats:p>These usability data demonstrate acceptability of a cardiovascular health clinical decision support tool in oncology practices. Oncology providers and breast cancer survivors would likely value the integration of such apps in survivorship care. By increasing awareness and communication regarding cardiovascular health, electronic health record–enabled tools may improve survivorship care delivery for breast cancer and ultimately patient outcomes.</jats:p> </jats:sec>
10Scopus© Citations 10
Some of the metrics are blocked by your
consent settings
Characterization of microbial communities from gut microbiota of hypercholesterolemic and control subjects
(2022)
Cristian Morales
;
Gabriel Rojas
;
Camilo Rebolledo
;
Marcelo Rojas-Herrera
;
Raúl Arias-Carrasco
<jats:sec><jats:title>Introduction</jats:title><jats:p>In recent years, several studies have evidenced the importance of the microbiome to host physiology as metabolism regulator, along with its potential role in triggering various diseases. In this study, we analyzed the gut microbiota in hypercholesterolemic (cases) and normocholesterolemic (controls) individuals to identify characteristic microbial signature for each condition.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>Stool samples were obtained from 57 adult volunteers (27 hypercholesterolemic and 30 controls). The taxonomic profiling of microbial communities was performed using high-throughput sequencing of 16S rRNA V3-V4 amplicons, followed by data analysis using Quantitative Insights Into Microbial Ecology 2 (QIIME2) and linear discriminant analysis (LDA) effect size (LEfSe).</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Significant differences were observed in weight, height, body mass index (BMI) and serum levels of triglycerides, total cholesterol and low-density lipoprotein cholesterol (LDL-C) between the groups (p&lt;0.05). LEfSe showed differentially abundant prokaryotic taxa (α=0.05, LDA score &gt; 2.0) in the group of hypercholesterolemic individuals (<jats:italic>Methanosphaera</jats:italic>, <jats:italic>Rothia</jats:italic>, Chromatiales, Clostridiales, Bacillaceae and Coriobacteriaceae) and controls (<jats:italic>Faecalibacterium</jats:italic>, <jats:italic>Victivallis</jats:italic> and <jats:italic>Selenomonas)</jats:italic> at various taxonomic levels. In addition, through the application of Phylogenetic Investigation of Communities by Reconstruction of Unobserved States 2 (PICRUSt2), the predominance of pathways related to biosynthesis in hypercholesterolemic patients was established, compared to controls in which degradation pathways were predominant. Finally, in the analysis of co-occurrence networks, it was possible to identify associations between the microorganisms present in both studied groups.</jats:p></jats:sec><jats:sec><jats:title>Conclusion</jats:title><jats:p>Our results point out to unique microbial signatures, which likely play a role on the cholesterol metabolism in the studied population.</jats:p></jats:sec>
Scopus© Citations 10 2
Some of the metrics are blocked by your
consent settings
Pre-stroke adherence to a Mediterranean diet pattern is associated with lower acute ischemic stroke severity: a cross-sectional analysis of a prospective hospital-register study
(2020)
Pablo M. Lavados
;
MAZZON AGURTO, ENRICO
;
Alexis Rojo
;
BRUNSER, ALEJANDRO
;
Verónica V. Olavarría
<jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>High adherence to a Mediterranean Diet is associated with reduced incidence and mortality of acute ischemic stroke (AIS) but may also be associated with severity. Our purpose was to investigate the association of adherence to a Mediterranean diet and severity in a prospective hospital register of AIS patients.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>We included AIS patients admitted from February 2017 to July 2019. All were assessed by a neurologist with a standard stroke protocol, including NIHSS. Adherence to Mediterranean diet was prospectively measured by the 14-point Mediterranean Diet Adherence Screener (MEDAS) and defined as low (0–6 points) or high (7–14 points). Demographic and clinical characteristics were compared by group with univariate analysis. A Generalized Linear Model (GLM) was used to investigate the association of admission NIHSS as a continuous ordinal variable and an ordinal logistic regression (OLR) analysis to determine the independent association of the NIHSS quartiles with adherence to Mediterranean diet.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>Three hundred sixty-eight patients were included, mean age 68.3 (17.7), 158 (42.9%) females. The median NIHSS score was 3 (IQR 1–9) and the median MEDAS score was 6 (IQR 4.5–8). Patients with high MEDAS scores had significantly lower; admission NIHSS scores, sedentary lifestyle, body mass index, total and LDL cholesterol levels, but higher alcohol consumption. After adjustments, high adherence to Mediterranean diet remained independently associated with lower stroke severity both in the GLM (β coefficient = − 0.19, <jats:italic>p</jats:italic> = 0.01) and in the OLR model (OR for lower NIHSS quartiles 0.6 (95% CI 0.37–0.98, <jats:italic>p</jats:italic> = 0.04).</jats:p> </jats:sec><jats:sec> <jats:title>Conclusions</jats:title> <jats:p>Higher pre-stroke adherence to a Mediterranean diet is independently associated with lower AIS severity.</jats:p> </jats:sec>
Scopus© Citations 15 1
Some of the metrics are blocked by your
consent settings
Evaluation of the chemopreventive potentials of ezetimibe and aspirin in a novel mouse model of gallbladder preneoplasia
(2020)
Lorena Rosa
;
Lorena Lobos‐González
;
Natalia Muñoz‐Durango
;
Patricia García
;
Carolina Bizama
Scopus© Citations 15 2
Some of the metrics are blocked by your
consent settings
Complement Component C3 Participates in Early Stages of Niemann–Pick C Mouse Liver Damage
(2020)
Andrés D. Klein
;
Javier González de la Vega
;
Silvana Zanlungo
<jats:p>Niemann–Pick type C (NPC), a lysosomal storage disorder, is mainly caused by mutations in the NPC1 gene. Niemann–Pick type C patients and mice show intracellular cholesterol accumulation leading to hepatic failure with increased inflammatory response. The complement cascade, which belongs to the innate immunity response, recognizes danger signals from injured tissues. We aimed to determine whether there is activation of the complement system in the liver of the NPC mouse and to assess the relationship between C3 activation, a final component of the pathway, and NPC liver pathology. Niemann–Pick type C mice showed high levels of C3 staining in the liver which unexpectedly decreased with aging. Using an inducible NPC1 hepatocyte rescue mouse model, we restored NPC1 expression for a short time in young mice. We found C3 positive cells only in non-rescued cells, suggesting that C3 activation in NPC cells is reversible. Then, we studied the effect of C3 ablation on NPC liver damage at two postnatal time points, P56 and P72. Deletion of C3 reduced the presence of hepatic CD68-positive cells at postnatal day 56 and prevented the increase of transaminase levels in the blood of NPC mice. These positive effects were abrogated at P72, indicating that the complement cascade participates only during the early stages of liver damage in NPC mice, and that its inhibition may serve as a new potential therapeutic strategy for the disease.</jats:p>
Scopus© Citations 14 2
Some of the metrics are blocked by your
consent settings
Finding pathogenic commonalities between Niemann-Pick type C and other lysosomal storage disorders: Opportunities for shared therapeutic interventions
(2020)
M.J. Yañez
;
T. Marín
;
E. Balboa
;
KLEIN POSTERNACK, ANDRES DAVID
;
A.R. Alvarez
Scopus© Citations 23 1
Some of the metrics are blocked by your
consent settings
Cell Intrinsic and Extrinsic Mechanisms of Caveolin-1-Enhanced Metastasis
(2019)
America Campos
;
Renato Burgos-Ravanal
;
Maria Fernanda Gonzalez
;
Ricardo Huilcaman
;
LOBOS GONZALEZ, LORENA DE LOURDES
<jats:p>Caveolin-1 (CAV1) is a scaffolding protein with a controversial role in cancer. This review will initially discuss earlier studies focused on the role as a tumor suppressor before elaborating subsequently on those relating to function of the protein as a promoter of metastasis. Different mechanisms are summarized illustrating how CAV1 promotes such traits upon expression in cancer cells (intrinsic mechanisms). More recently, it has become apparent that CAV1 is also a secreted protein that can be included into exosomes where it plays a significant role in determining cargo composition. Thus, we will also discuss how CAV1 containing exosomes from metastatic cells promote malignant traits in more benign recipient cells (extrinsic mechanisms). This ability appears, at least in part, attributable to the transfer of specific cargos present due to CAV1 rather than the transfer of CAV1 itself. The evolution of how our perception of CAV1 function has changed since its discovery is summarized graphically in a time line figure.</jats:p>
1 2Scopus© Citations 52

CRIS

Browse

Filters

Settings

Sort By

Results per page

Search Results