Idalia Garza-Veloz

Dr. Idalia Garza-Veloz


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

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

Representative Publications

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SGSamantha González
Samantha González
IGIdalia Garza-Veloz
Idalia Garza-Veloz
FVFABIOLA TREJO VAZQUEZ
FABIOLA TREJO VAZQUEZ
Margarita L. Martinez-FierroMargarita L. Martinez-Fierro
Margarita L. Martinez-Fierro
Inflammatory Bowel Disease (IBD) is a chronic gastrointestinal disorder characterized by periods of activity and remission. IBD includes Crohn’s disease (CD) and ulcerative colitis (UC), and even though IBD has not been considered as a heritable disease, there are genetic variants associated with increased risk for the disease. 5-Hydroxytriptamine (5-HT), or serotonin, exerts a wide range of gastrointestinal effects under both normal and pathological conditions. Furthermore, Serotonin Transporter (SERT) coded by Solute Carrier Family 6 Member 4 (SLC6A4) gene (located in the 17q11.1-q12 chromosome), possesses genetic variants, such as Serotonin Transporter Gene Variable Number Tandem Repeat in Intron 2 (STin2-VNTR) and Serotonin-Transporter-linked promoter region (5-HTTLPR), which have an influence over the functionality of SERT in the re-uptake and bioavailability of serotonin. The intestinal microbiota is a crucial actor in normal human gut physiology, exerting effects on serotonin, SERT function, and inflammatory processes. As a consequence of abnormal serotonin signaling and SERT function under these inflammatory processes, the use of selective serotonin re-uptake inhibitors (SSRIs) has been seen to improve disease activity and extraintestinal manifestations, such as depression and anxiety. The aim of this study is to integrate scientific data linking the intestinal microbiota as a regulator of gut serotonin signaling and re-uptake, as well as its role in the pathogenesis of IBD. We performed a narrative review, including a literature search in the PubMed database of both review and original articles (no date restriction), as well as information about the SLC6A4 gene and its genetic variants obtained from the Ensembl website. Scientific evidence from in vitro, in vivo, and clinical trials regarding the use of selective serotonin reuptake inhibitors as an adjuvant therapy in patients with IBD is also discussed. A total of 194 articles were used between reviews, in vivo, in vitro studies, and clinical trials.

16 May 2011 in BMC Pregnancy and Childbirth
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IGIdalia Garza-Veloz
Idalia Garza-Veloz
CCClaudia Castruita
Claudia Castruita
RCRaul Cortes-Flores
Raul Cortes-Flores
VMVictoria Martinez-Gaytan
Victoria Martinez-Gaytan
JRJose E Rivera-Muñoz
Jose E Rivera-Muñoz
Margarita L. Martinez-FierroMargarita L. Martinez-Fierro
Margarita L. Martinez-Fierro
Background: Preeclampsia (PE) is the first worldwide cause of death in pregnant women, intra-uterine growth retardation, and fetal prematurity. Some vascular endothelial grown factor gene (VEGF) polymorphisms have been associated to PE and other pregnancy disturbances. We evaluated the associations between VEGF genotypes/haplotypes and PE in Mexican women. Methods: 164 pregnant women were enrolled in a case-control study (78 cases and 86 normotensive pregnant controls). The rs699947 (-2578C/A), rs1570360 (-1154G/A), rs2010963 (+405G/C), and rs25648 (-7C/T), VEGF variants were discriminated using Polymerase Chain Reaction - Restriction Fragment Length Polymorphism (PCR-RFLP) methods or Taqman single nucleotide polymorphism (SNP) assays. Results: The proportions of the minor allele for rs699947, rs1570360, rs2010963, and rs25648 VEGF SNPs were 0.33, 0.2, 0.39, and 0.17 in controls, and 0.39, 0.23, 0.41, and 0.15 in cases, respectively (P values > 0.05). The most frequent haplotypes of rs699947, rs1570360, rs2010963, and rs25648 VEGF SNPs, were C-G-C-C and C-G-G-C with frequencies of 0.39, 0.21 in cases and 0.37, 0.25 in controls, respectively (P values > 0.05) Conclusion: There was no evidence of an association between VEGF alleles, genotypes, or haplotypes frequencies and PE in our study.

1 November 2016 in Applied Radiation and Isotopes
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Journal Article
Closed access
MMMa. del Rosario Martínez-Blanco
Ma. del Rosario Martínez-Blanco
GOGerardo Ornelas-Vargas
Gerardo Ornelas-Vargas
CCCelina Lizeth Castañeda-Miranda
Celina Lizeth Castañeda-Miranda
LSLuis Octavio Solís-Sánchez
Luis Octavio Solís-Sánchez
RMR. Castañeda- Miranda
R. Castañeda- Miranda
JOJosé Manuel Ortiz-Rodríguez
José Manuel Ortiz-Rodríguez

1 November 2016 in Applied Radiation and Isotopes
Verified
Journal Article
Closed access
MMMa. del Rosario Martínez-Blanco
Ma. del Rosario Martínez-Blanco
GOGerardo Ornelas-Vargas
Gerardo Ornelas-Vargas
LSLuis Octavio Solís-Sánchez
Luis Octavio Solís-Sánchez
RMR. Castañeda- Miranda
R. Castañeda- Miranda
HVHector Rene Vega-Carrillo
Hector Rene Vega-Carrillo
JOJosé Manuel Ortiz-Rodríguez
José Manuel Ortiz-Rodríguez

18 June 2024 in Biomedicines
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AHALEJANDRA E. HERNANDEZ-RANGEL
ALEJANDRA E. HERNANDEZ-RANGEL
Gustavo A. Hernandez-FuentesGustavo A. Hernandez-Fuentes
Gustavo A. Hernandez-Fuentes
DMDaniel A. Montes-Galindo
Daniel A. Montes-Galindo
CSCarmen A. Sánchez-Ramirez
Carmen A. Sánchez-Ramirez
ACAriana Cabrera
Ariana Cabrera
Ivan Delgado-EncisoIvan Delgado-Enciso
Ivan Delgado-Enciso
Vitamin D3 or calcitriol (VitD3) has been shown to have anticancer and anti-inflammatory activity in in vitro models and clinical studies. However, its effect on HPV-16-related cancer has been sparsely explored. In this study, we aimed to determine whether monotherapy or combination therapy with cisplatin (CP) reduces tumor growth and affects survival and systemic inflammation. Treatments were administered to C57BL/6 mice with HPV-16-related tumors (TC-1 cells) as follows: (1) placebo (100 µL vehicle, olive oil, orally administered daily); (2) VitD3 (3.75 µg/kg calcitriol orally administered daily); (3) CP (5 mg/kg intraperitoneally, every 7 days); and (4) VitD3+CP. Tumor growth was monitored for 25 days, survival for 60 days, and the neutrophil-to-lymphocyte ratio (NLR) was evaluated on days 1 (baseline), 7, and 14. VitD3+CP showed greater success in reducing tumor volume compared to CP monotherapy (p = 0.041), while no differences were observed between CP and VitD3 monotherapy (p = 0.671). Furthermore, VitD3+CP prolonged survival compared to CP (p = 0.036) and VitD3 (p = 0.007). Additionally, at day 14 the VitD3 and VitD3+CP groups showed significantly lower NLR values than the CP group (p < 0.05, for both comparisons). Vitamin D3 could be a promising adjuvant in the treatment of cervical cancer or solid tumors and deserves further investigation.

28 February 2018
Verified
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JOJose Manuel Ortiz-Rodriguez
Jose Manuel Ortiz-Rodriguez
CGCarlos Guerrero-Mendez
Carlos Guerrero-Mendez
MMMa. del Rosario Martínez-Blanco
Ma. del Rosario Martínez-Blanco
SCSalvador Castro-Tapia
Salvador Castro-Tapia
MMMireya Moreno-Lucio
Mireya Moreno-Lucio
JGJorge Alberto Barrios Garcia
Jorge Alberto Barrios Garcia
Breast cancer is a fatal disease causing high mortality in women. Constant efforts are being made for creating more efficient techniques for early and accurate diagnosis. Classical methods require oncologists to examine the breast lesions for detection and classification of various stages of cancer. Such manual attempts are time consuming and inefficient in many cases. Hence, there is a need for efficient methods that diagnoses the cancerous cells without human involvement with high accuracies. In this research, image processing techniques were used to develop imaging biomarkers through mammography analysis and based on artificial intelligence technology aiming to detect breast cancer in early stages to support diagnosis and prioritization of high-risk patients. For automatic classification of breast cancer on mammograms, a generalized regression artificial neural network was trained and tested to separate malignant and benign tumors reaching an accuracy of 95.83%. With the biomarker and trained neural net, a computer-aided diagnosis system is being designed. The results obtained show that generalized regression artificial neural network is a promising and robust system for breast cancer detection. The Laboratorio de Innovacion y Desarrollo Tecnologico en Inteligencia Artificial is seeking collaboration with research groups interested in validating the technology being developed.