DSpace Comunidad : Este Doctorado es de modalidad presencial. Nuestra Línea de Investigación es en Ingeniería y Tecnología Aplicada. Contamos con dos periodos de ingreso al año: Febrero y Agosto; el medio de titulación es vía elaboración de Tesis. La duración del programa es de 4 años a tiempo completo. El objetivo general del PIITEC es formar recursos humanos de alto nivel en Ingeniería y Tecnología capaces de aplicar los conocimientos e innovación para fortalecer la competitividad y productividad de las empresas de distintos sectores en el país en una disciplina o área interdisciplinaria; con un espíritu crítico, creativo y con pensamiento analítico, a través del uso adecuado de los recursos científicos y tecnológicos y en beneficio de la sociedad, considerando el cuidado y preservación del medio ambiente.Este Doctorado es de modalidad presencial. Nuestra Línea de Investigación es en Ingeniería y Tecnología Aplicada. Contamos con dos periodos de ingreso al año: Febrero y Agosto; el medio de titulación es vía elaboración de Tesis. La duración del programa es de 4 años a tiempo completo. El objetivo general del PIITEC es formar recursos humanos de alto nivel en Ingeniería y Tecnología capaces de aplicar los conocimientos e innovación para fortalecer la competitividad y productividad de las empresas de distintos sectores en el país en una disciplina o área interdisciplinaria; con un espíritu crítico, creativo y con pensamiento analítico, a través del uso adecuado de los recursos científicos y tecnológicos y en beneficio de la sociedad, considerando el cuidado y preservación del medio ambiente.http://ricaxcan.uaz.edu.mx/jspui/handle/20.500.11845/13842024-03-29T06:12:36Z2024-03-29T06:12:36ZCurrent model systems for the study of preeclampsiahttp://ricaxcan.uaz.edu.mx/jspui/handle/20.500.11845/14972022-10-28T17:49:21Z2018-02-07T00:00:00ZTítulo : Current model systems for the study of preeclampsia
Authors: Martínez Fierro, Margarita de la Luz; Hernández Delgadillo, Gloria Patricia; Flores Morales, Virginia; Cardenas Vargas, Edith; Mercado Reyes, Marisa; Rodríguez Sánchez, Iram Pablo; Delgado Enciso, Iván; Galván Tejada, Carlos Eric; Galván Tejada, Jorge Issac; Celaya Padilla, José María; Garza Veloz, Idalia
Resumen : Preeclampsia (PE) is a pregnancy complex disease, distinguished by high blood pressure and
proteinuria, diagnosed after the 20th gestation week. Depending on the values of blood pressure,
urine protein concentrations, symptomatology, and onset of disease there is a wide
range of phenotypes, from mild forms developing predominantly at the end of pregnancy to
severe forms developing in the early stage of pregnancy. In the worst cases severe forms of
PE could lead to systemic endothelial dysfunction, eclampsia, and maternal and/or fetal
death. Worldwide the fetal morbidity and mortality related to PE is calculated to be around
8% of the total pregnancies. PE still being an enigma regarding its etiology and pathophysiology,
in general a deficient trophoblast invasion during placentation at first stage of pregnancy, in combination with maternal conditions are accepted as a cause of endothelial dysfunction, inflammatory alterations and appearance of symptoms. Depending on the PE multifactorial origin, several in vitro, in vivo,andin silico models have been used to evaluate the PE pathophysiology as well as to identify or test biomarkers predicting, diagnosing or prognosing the syndrome. This review focuses on the most common models used for the study of PE, including those related to placental development, abnormal trophoblast invasion, uteroplacental ischemia, angiogenesis, oxygen deregulation, and immune response to maternal–fetal interactions. The advances in mathematical and computational modeling of metabolic network behavior, gene prioritization, the protein–protein interaction network, the genetics of PE, and the PE prediction/classification are discussed. Finally, the potential of these models to enable understanding of PE pathogenesis and to evaluate new preventative and therapeutic approaches in the management of PE are also highlighted.2018-02-07T00:00:00ZContralateral asymmetry for breast cancer detection : A CADx approachhttp://ricaxcan.uaz.edu.mx/jspui/handle/20.500.11845/14922022-10-26T18:34:31Z2018-01-01T00:00:00ZTítulo : Contralateral asymmetry for breast cancer detection : A CADx approach
Authors: Celaya Padilla, José María; Guzmán Valdivia, César Humberto; Galván Tejada, Carlos Eric; Galván Tejada, Jorge Issac; Gamboa Rosales, Hamurabi; Garza Veloz, Idalia; Martínez Fierro, Margarita de la Luz; Cid Báez, Miguel A.; Martínez Torteya, Antonio; Martínez Ruíz, Francisco Javier; Luna García, Huizilopoztli; Moreno Baez, Arturo; Nandal, Amita
Resumen : Early detection is fundamental for the effective treatment of breast cancer and the screening mammography is the most common tool used by the medical community to detect early breast cancer development.
Screening mammograms include images of both breasts using two standard views, and the contralateral asymmetry per view is a key feature in detecting breast cancer. we propose a methodology to incorporate said asymmetry information into a computer-aided diagnosis system
that can accurately discern between healthy subjects and subjects at risk of having breast cancer.
Furthermore, we generate features that measure not only a view-wise asymmetry, but a subject-wise one.
Briefly, the methodology co-registers the left and right mammograms, extracts image characteristics,
fuses them into subjectwise features, and classifies subjects.
In this study, 152 subjects from two independent databases, one with analog- and one with digital mammograms, were used to validate the methodology.
Areas under the receiver operating characteristic curve of 0.738 and 0.767, and diagnostic odds
ratios of 23.10 and 9.00 were achieved, respectively. In addition, the proposed method has the potential to rank subjects by their probability of having breast2018-01-01T00:00:00ZAnalyses of chondrogenic induction of adipose mesenchymal stem cells by combined costimulation mediated by adenoviral gene transferhttp://ricaxcan.uaz.edu.mx/jspui/handle/20.500.11845/14912020-05-21T17:35:39Z2013-07-30T00:00:00ZTítulo : Analyses of chondrogenic induction of adipose mesenchymal stem cells by combined costimulation mediated by adenoviral gene transfer
Authors: Garza Veloz, Idalia; Romero Díaz, Viktor J.; Martínez Fierro, Margarita de la Luz; Marino Martínez, Iván; González Rodríguez, Manuel; Martínez Rodríguez, Herminia Guadalupe; Espinoza Juárez, Marcela; Bernal Garza, Dante; Ortíz López, Rocío; Rojas Martínez, Augusto
Resumen : Introduction: Adipose-derived stem cells (ASCs) have the potential to differentiate into cartilage under stimulation with some reported growth and transcriptional factors, which may constitute an alternative for cartilage replacement approaches. In this study, we analyzed the in vitro chondrogenesis of ASCs transduced with adenoviral vectors encoding insulin-like growth factor-1 (IGF-1), transforming growth factor beta-1 (TGF-b1), fibroblast growth factor-2 (FGF-2), and sex-determining region Y-box 9 (SOX9) either alone or in combinations.
Methods: Aggregate cultures of characterized ovine ASCs were transduced with 100 multiplicity of infections of
Ad.IGF-1, Ad.TGF-b1, Ad.FGF-2, and Ad.SOX9 alone or in combination. These were harvested at various time pointfor detection of cartilage-specific genes expression by quantitative real-time PCR or after 14 and 28 days for histologic and biochemical analyses detecting proteoglycans, collagens (II, I and X), and total sulfated
glycosaminoglycan and collagen content, respectively.
Results: Expression analyses showed that co-expression of IGF-1 and FGF-2 resulted in higher significant expression levels of aggrecan, biglycan, cartilage matrix, proteoglycan, and collagen II (all P ≤0.001 at 28 days). Aggregates transduced with Ad.IGF-1/Ad.FGF-2 showed a selective expression of proteoglycans and collagen II, with limited expression of collagens I and × demonstrated by histological analyses, and had significantly greater glycosaminoglycan and collagen production than the positive control (P ≤0.001). Western blot analyses for this combination also demonstrated increased expression of collagen II, while expression of collagens I and × was undetectable and limited, respectively.
Conclusion: Combined overexpression of IGF-1/FGF-2 within ASCs enhances their chondrogenic differentiation inducing the expression of chondrogenic markers, suggesting that this combination is more beneficial than the other factors tested for the development of cell-based therapies for cartilage repair.2013-07-30T00:00:00ZComparative Pathogenicity of Lomentospora prolificans (Scedosporium prolificans) Isolates from Mexican Patientshttp://ricaxcan.uaz.edu.mx/jspui/handle/20.500.11845/14882020-05-21T17:33:44Z2017-04-29T00:00:00ZTítulo : Comparative Pathogenicity of Lomentospora prolificans (Scedosporium prolificans) Isolates from Mexican Patients
Authors: Elizondo Zertuche, Mariana; M. Montoya, Alexandra; Robledo Lea, Efrén; Garza Veloz, Idalia; Sánchez Núñez, Ana L.; Ballesteros Elizondo, Raquel; M. González, Gloria
Resumen : We identified 11 Lomentospora prolificans
isolates recovered from Mexican patients using phenotypic
and molecular characteristics. The identification
of isolates was assessed by internal transcribed
spacer (ITS rDNA) sequencing. In vitro susceptibility
to amphotericin B, fluconazole, voriconazole,
posaconazole, caspofungin, anidulafungin and micafungin
was determined according to Clinical and
Laboratory Standards Institute (CLSI) procedures.
Three isolates (07-2239, 11-2242 and 04-2673) were
used to induce systemic infection in immunocompetent
ICR mice. Survival and tissue burden studies were
used as markers of pathogenicity. All of the strains
were resistant to every antifungal tested with MIC’s for
AmB (8–[8 lg/ml), VRC (16–[16 lg/ml), PSC (16–
[16 lg/ml), FLC (64–[64 lg/ml) and echinocandins
with MICs C8 lg/ml. One hundred, ninety and sixty
percent of the infected mice with the strains 07-2239,
11-2242 and 04-2673 died during the study, respectively.
Regarding tissue burden, the highest fungal load
of the infected mice was detected in brain followed by
spleen and kidney, regardless of the strain.2017-04-29T00:00:00Z