Hugo L. Gallardo-Blanco

Dr. Hugo L. Gallardo-Blanco

Oncology, Facultad de Medicina, Universidad Autónoma de Nuevo León., Monterrey, Nuevo León, Mexico
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Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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9 February 2016 in Experimental and Therapeutic Medicine
Verified
Journal Article
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LVLaura E. Martínez de Villarreal
Laura E. Martínez de Villarreal
Hugo L. Gallardo-BlancoHugo L. Gallardo-Blanco
Hugo L. Gallardo-Blanco
RCRicardo Cerda-Flores
Ricardo Cerda-Flores
ITIris Torres-Muñoz
Iris Torres-Muñoz
MGMinerva Gómez-Flores
Minerva Gómez-Flores
LVLaura E. Martínez de Villarreal
Laura E. Martínez de Villarreal
Psoriasis is a complex genetic disease, which has previously been associated with numerous single nucleotide polymorphisms (SNPs) that are implicated in various processes, including skin barrier functions and in the regulation of inflammatory and immune responses. The present study aimed to investigate the genotypic and allelic frequencies of 32 SNPs at 24 genetic loci, and their association with psoriasis in a Mexican population. These SNPs, which were associated with psoriasis in previous studies, included the following genes: Major histocompatibility complex class I-C (HLA-C), interleukin (IL)-12B, IL-23R, IL-23A, IL-28RA, tumor necrosis factor (TNF)-α, ring finger protein-114 (RNF114), cyclin-dependent kinase 5 regulatory subunit-associated protein 1-like 1, late cornified envelope 3B/3C, signal transducer and activator of transcription 4, LINC01185, interferon induced with helicase C domain 1, IL-13, TNF-α-induced protein 3 (TNFAIP3), TNFAIP3 interacting protein 1, endoplasmic reticulum aminopeptidase 1, TNF receptor-associated factor interacting protein 2, Leptin, nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor-alpha, F-box and leucine-rich repeat protein 19, nitric oxide synthase 2, cluster of differentiation 40, nuclear receptor coactivator 5, and ADAM metallopeptidase domain 33. A total of 32 male and 14 female subjects with a clinical diagnosis of chronic plaque psoriasis, as well as 103 control subjects, were analyzed. Molecular analyses were performed using TaqMan® assays in a TaqMan® OpenArray® Genotyping system. Results were analyzed using the Golden Helix SNP and Variation Suite 7 program. Of the 32 SNPs, six were associated with an increased risk of developing psoriasis, including: HLA-C rs10484554 [allele T: odds ratio (OR) 3.51], IL-12B rs3212227 (allele T: OR 1.88), IL-12B rs3213094 (allele C: OR 1.94), HLA complex group 27 rs1265181 (allele C: OR 2.83), annexin A6 rs17728338 (allele A: OR 2.41), and RNF114 rs6125829 (allele G: OR 1.98). Fisher's exact test detected statistical significance; however, following false discovery rate and Bonferroni correction, this association was no longer significant (threshold for genome-wide significance, P<1.56×10−3). SNPs that were associated with an increased risk of psoriasis in the present study have previously been associated with psoriasis in European, American, and Asian populations. In order to establish genome-wide significance, future studies must analyze a greater sample size. To the best of our knowledge, the present pilot study is the first to investigate the association between these 32 SNPs and psoriasis in a Mexican Mestizo population.

8 February 2016 in BMC Cancer
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RLRafael B. R. León-Cachón
Rafael B. R. León-Cachón
JAJorge A. Ascacio-Martínez
Jorge A. Ascacio-Martínez
MGMaría E. Gamino-Peña
María E. Gamino-Peña
RCRicardo Cerda-Flores
Ricardo Cerda-Flores
EMElisabeth D. A. C. Meester
Elisabeth D. A. C. Meester
HBHugo A Barrera-Saldaña
Hugo A Barrera-Saldaña
The genetic variation underlying atorvastatin (ATV) pharmacokinetics was evaluated in a Mexican population. Aims of this study were: 1) to reveal the frequency of 87 polymorphisms in 36 genes related to drug metabolism in healthy Mexican volunteers, 2) to evaluate the impact of these polymorphisms on ATV pharmacokinetics, 3) to classify the ATV metabolic phenotypes of healthy volunteers, and 4) to investigate a possible association between genotypes and metabolizer phenotypes. A pharmacokinetic study of ATV (single 80-mg dose) was conducted in 60 healthy male volunteers. ATV plasma concentrations were measured by high-performance liquid chromatography mass spectrometry. Pharmacokinetic parameters were calculated by the non-compartmental method. The polymorphisms were determined with the PHARMAchip® microarray and the TaqMan® probes genotyping assay. Three metabolic phenotypes were found in our population: slow, normal, and rapid. Six gene polymorphisms were found to have a significant effect on ATV pharmacokinetics: MTHFR (rs1801133), DRD3 (rs6280), GSTM3 (rs1799735), TNFα (rs1800629), MDR1 (rs1045642), and SLCO1B1 (rs4149056). The combination of MTHFR, DRD3 and MDR1 polymorphisms associated with a slow ATV metabolizer phenotype. Further studies using a genetic preselection method and a larger population are needed to confirm these polymorphisms as predictive biomarkers for ATV slow metabolizers. Australian New Zealand Clinical Trials Registry: ACTRN12614000851662 , date registered: August 8, 2014.

17 August 2021 in Polymers
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APAna Pinilla
Ana Pinilla
PCPaola Y. Carrión-García
Paola Y. Carrión-García
Celia N Sánchez-DomínguezCelia N Sánchez-Domínguez
Celia N Sánchez-Domínguez
Hugo L. Gallardo-BlancoHugo L. Gallardo-Blanco
Hugo L. Gallardo-Blanco
Margarita Sanchez-DominguezMargarita Sanchez-Dominguez
Margarita Sanchez-Dominguez
In the present study, the modification of branched polyethyleneimine (b-PEI) was carried out using mesquite gum (MG) to improve its hemocompatibility to be used in biomedical applications. In the copolymer synthesis process (carboxymethylated mesquite gum grafted polyethyleneimine copolymer (CBX-MG-PEI), an MG carboxymethylation reaction was initially carried out (carboxymethylated mesquite gum (CBX-MG). Subsequently, the functionalization between CBX-MG and b-PEI was carried out using 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide (EDC) and N-hydroxysuccinimide (NHS) as crosslinking agents. The synthesis products were characterized using Fourier transform infrared spectroscopy (FTIR), X-ray photoelectron spectroscopy (XPS), and thermogravimetric analysis (TGA). Thermogravimetric analysis showed that CBX-MG and CBX-MG-PEI presented a lower decomposition temperature than MG. The CBX-MG-PEI has a high buffer capacity in the pH range of 4 to 7, similar to the b-PEI. In addition, the CBX-MG-PEI showed an improvement in hemocompatibility in comparison with the b-PEI. The results showed a non-hemolytic property at doses lower than 0.1 µg/mL (CBX-MG-PEI). These results allow us to propose that this copolymer be used in transfection, polymeric nanoparticles, and biomaterials due to its physicochemical and hemocompatibility properties.
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15 November 2017 in Molecular Medicine Reports
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JRJorge A Roacho-Pérez
Jorge A Roacho-Pérez
Hugo L. Gallardo-BlancoHugo L. Gallardo-Blanco
Hugo L. Gallardo-Blanco
MSMargarita Sanchez‑Dominguez
Margarita Sanchez‑Dominguez
PGPerla E. Garcia‑Casillas
Perla E. Garcia‑Casillas
Christian ChapaChristian Chapa
Christian Chapa
Celia N Sánchez-DomínguezCelia N Sánchez-Domínguez
Celia N Sánchez-Domínguez
Due to the high toxicity and side effects of the use of traditional chemotherapy in cancer, scientists are working on the development of alternative therapeutic technologies. An example of this is the use of death‑induced gene therapy. This therapy consists of the killing of tumor cells via transfection with plasmid DNA (pDNA) that contains a gene which produces a protein that results in the apoptosis of cancerous cells. The cell death is caused by the direct activation of apoptosis (apoptosis‑induced gene therapy) or by the protein toxic effects (toxin‑induced gene therapy). The introduction of pDNA into the tumor cells has been a challenge for the development of this therapy. The most recent implementation of gene vectors is the use of polymeric or inorganic nanoparticles, which have biological and physicochemical properties (shape, size, surface charge, water interaction and biodegradation rate) that allow them to carry the pDNA into the tumor cell. Furthermore, nanoparticles may be functionalized with specific molecules for the recognition of molecular markers on the surface of tumor cells. The binding between the nanoparticle and the tumor cell induces specific endocytosis, avoiding toxicity in healthy cells. Currently, there are no clinical protocols approved for the use of nanoparticles in death‑induced gene therapy. There are still various challenges in the design of the perfect transfection vector, however nanoparticles have been demonstrated to be a suitable candidate. This review describes the role of nanoparticles used for pDNA transfection and key aspects for their use in death‑induced gene therapy.

27 January 2021 in Polymers
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JRJorge A Roacho-Pérez
Jorge A Roacho-Pérez
Kassandra Rodríguez AguillónKassandra Rodríguez Aguillón
Kassandra Rodríguez Aguillón
Hugo L. Gallardo-BlancoHugo L. Gallardo-Blanco
Hugo L. Gallardo-Blanco
MVMaría R Velazco-Campos
María R Velazco-Campos
KSKarla V Sosa-Cruz
Karla V Sosa-Cruz
Celia N Sánchez-DomínguezCelia N Sánchez-Domínguez
Celia N Sánchez-Domínguez
Microspheres have been proposed for different medical applications, such as the delivery of therapeutic proteins. The first step, before evaluating the functionality of a protein delivery system, is to evaluate their biological safety. In this work, we developed chitosan/Tween 80 microspheres loaded with magnetite nanoparticles and evaluated cell damage. The formation and physical–chemical properties of the microspheres were determined by FT-IR, Raman, thermogravimetric analysis (TGA), energy-dispersive X-ray spectroscopy (EDS), dynamic light scattering (DLS), and SEM. Cell damage was evaluated by a full set of in vitro assays using a non-cancerous cell line, human erythrocytes, and human lymphocytes. At the same time, to know if these microspheres can load proteins over their surface, bovine serum albumin (BSA) immobilization was measured. Results showed 7 nm magnetite nanoparticles loaded into chitosan/Tween 80 microspheres with average sizes of 1.431 µm. At concentrations from 1 to 100 µg/mL, there was no evidence of changes in mitochondrial metabolism, cell morphology, membrane rupture, cell cycle, nor sister chromatid exchange formation. For each microgram of microspheres 1.8 µg of BSA was immobilized. The result provides the fundamental understanding of the in vitro biological behavior, and safety, of developed microspheres. Additionally, this set of assays can be helpful for researchers to evaluate different nano and microparticles.

22 December 2016 in Experimental and Therapeutic Medicine
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Hugo L. Gallardo-BlancoHugo L. Gallardo-Blanco
Hugo L. Gallardo-Blanco
JPJesús Zacarías Villarreal Pérez
Jesús Zacarías Villarreal Pérez
RCRicardo Martin Cerda-Flores
Ricardo Martin Cerda-Flores
AFAndres Figueroa
Andres Figueroa
Celia N Sánchez-DomínguezCelia N Sánchez-Domínguez
Celia N Sánchez-Domínguez
LVLaura E. Martínez de Villarreal
Laura E. Martínez de Villarreal
The aim of the present study was to investigate whether genetic markers considered risk factors for metabolic syndromes, including dyslipidemia, obesity and type 2 diabetes mellitus (T2DM), can be applied to a Northeastern Mexican population. A total of 37 families were analyzed for 63 single nucleotide polymorphisms (SNPs), and the age, body mass index (BMI), glucose tolerance values and blood lipid levels, including those of cholesterol, low-density lipoprotein (LDL), very LDL (VLDL), high-density lipoprotein (HDL) and triglycerides were evaluated. Three genetic markers previously associated with metabolic syndromes were identified in the sample population, including KCNJ11, TCF7L2 and HNF4A. The KCNJ11 SNP rs5210 was associated with T2DM, the TCF7L2 SNP rs11196175 was associated with BMI and cholesterol and LDL levels, the TCF7L2 SNP rs12255372 was associated with BMI and HDL, VLDL and triglyceride levels, and the HNF4A SNP rs1885088 was associated with LDL levels (P<0.05).