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Institution

Instituto Politécnico Nacional

EducationMexico City, Mexico
About: Instituto Politécnico Nacional is a education organization based out in Mexico City, Mexico. It is known for research contribution in the topics: Population & Control theory. The organization has 43351 authors who have published 63315 publications receiving 938532 citations. The organization is also known as: Instituto Politécnico Nacional & Instituto Politecnico Nacional.


Papers
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Journal ArticleDOI
TL;DR: A high number of medications tested in preclinical models of endometriosis due to their theoretic capacity of disrupting important pathophysiologic pathways of the disease, such as inflammatory response, angiogenesis and cell survival, proliferation, migration, adhesion, and invasion were effective.

141 citations

Journal ArticleDOI
TL;DR: A review provides a summary of tetracycline's multiple mechanisms of action as a means to understand their beneficial effects, including their ability to act as reactive oxygen species scavengers and anti-inflammatory agents.

140 citations

Journal ArticleDOI
29 Aug 2017
TL;DR: This study demonstrates how bioinformatics tools, such as metagenome functional prediction from 16S rRNA genes, can help understand biological systems and reveal microbial interactions in controlled systems (e.g., bioreactors) and uncovered butyrate-producing microbial communities and possible metabolic routes in a controlled fermentation system aimed atbutyrate production.
Abstract: Butyrate is a common fatty acid produced in important fermentative systems, such as the human/animal gut and other H 2 production systems. Despite its importance, there is little information on the partnerships between butyrate producers and other bacteria. The objective of this work was to uncover butyrate-producing microbial communities and possible metabolic routes in a controlled fermentation system aimed at butyrate production. The butyrogenic reactor was operated at 37°C and pH 5.5 with a hydraulic retention time of 31 h and a low hydrogen partial pressure (PH 2 ). High-throughput sequencing and metagenome functional prediction from 16S rRNA data showed that butyrate production pathways and microbial communities were different during batch (closed) and continuous-mode operation. Lactobacillaceae , Lachnospiraceae , and Enterococcaceae were the most abundant phylotypes in the closed system without PH 2 control, whereas Prevotellaceae , Ruminococcaceae , and Actinomycetaceae were the most abundant phylotypes under continuous operation at low PH 2 . Putative butyrate producers identified in our system were from Prevotellaceae , Clostridiaceae , Ruminococcaceae , and Lactobacillaceae . Metagenome prediction analysis suggests that nonbutyrogenic microorganisms influenced butyrate production by generating butyrate precursors such as acetate, lactate, and succinate. 16S rRNA gene analysis suggested that, in the reactor, a partnership between identified butyrogenic microorganisms and succinate (i.e., Actinomycetaceae ), acetate (i.e., Ruminococcaceae and Actinomycetaceae ), and lactate producers (i.e., Ruminococcaceae and Lactobacillaceae ) took place under continuous-flow operation at low PH 2 . IMPORTANCE This study demonstrates how bioinformatics tools, such as metagenome functional prediction from 16S rRNA genes, can help understand biological systems and reveal microbial interactions in controlled systems (e.g., bioreactors). Results obtained from controlled systems are easier to interpret than those from human/animal studies because observed changes may be specifically attributed to the design conditions imposed on the system. Bioinformatics analysis allowed us to identify potential butyrogenic phylotypes and associated butyrate metabolism pathways when we systematically varied the PH 2 in a carefully controlled fermentation system. Our insights may be adapted to butyrate production studies in biohydrogen systems and gut models, since butyrate is a main product and a crucial fatty acid in human/animal colon health.

140 citations

Journal ArticleDOI
Giuseppe De Luca1, Monica Verdoia, Miha Cercek2, Lisette Okkels Jensen, Marija Vavlukis, Lucian Calmac, Thomas W Johnson3, Gerard Rourai Ferrer, Vladimir Ganyukov, Wojtek Wojakowski4, Tim Kinnaird5, Clemens van Birgelen6, Yves Cottin, Alexander Ijsselmuiden, Bernardo Tuccillo, Francesco Versaci, Kees-Jan Royaards, Jurriën M. ten Berg, Mika Laine7, Maurits T. Dirksen, Massimo Siviglia, Gianni Casella, Petr Kala8, José Luis Díez Gil9, Adrian P. Banning10, Victor Becerra, Ciro De Simone, Andrea Santucci, Xavier Carrillo, Alessandra Scoccia, Giovanni Amoroso, Arpad Lux, Tomas Kovarnik11, Periklis Davlouros, Julinda Mehilli12, Gabriele Gabrielli, Xacobe Flores Rios, Nikola Bakraceski, Sébastien Levesque, Giuseppe Cirrincione, Vincenzo Guiducci13, Michał Kidawa14, Leonardo Spedicato, Lucia Marinucci, Peter Ludman, Filippo Zilio, Gennaro Galasso, Enrico Fabris, Maurizio Menichelli, Arturo García-Touchard, Stephane Manzo15, Gianluca Caiazzo, José Moreu, Juan Sanchis Forés, Luca Donazzan, Luigi Vignali, Rui Campante Teles, Edouard Benit, Pierfrancesco Agostoni, Francisco Bosa Ojeda16, Heidi Lehtola17, Santiago Camacho-Freiere, Adriaan O. Kraaijeveld, Ylitalo Antti18, Marco Boccalatte, Pierre Deharo19, Iñigo Lozano Martínez-Luengas, Bruno Scheller20, Dimitrios Alexopoulos, Raul Moreno, Elvin Kedhi, Giuseppe Uccello, Benjamin Faurie, Alejandro Gutierrez Barrios, Fortunato Scotto Di Uccio, Bor Wilbert, Pieter C. Smits, Giuliana Cortese21, Guido Parodi, Dariusz Dudek22 
TL;DR: The COVID-19 pandemic had significant impact on the treatment of patients with STEMI, with a 19% reduction in PPCI procedures, especially among patients suffering from hypertension, and a longer delay to treatment, which may have contributed to the increased mortality during the pandemic.

140 citations

Journal ArticleDOI
TL;DR: The results indicate that P. interruptus does not maintain a single homogenous population, despite extreme dispersal potential, and contribute to a growing number of studies showing that low FST and high family structure across populations can coexist, illuminating the foundations of cryptic genetic patterns and the nature of marine dispersal.
Abstract: We combine kinship estimates with traditional F-statistics to explain contemporary drivers of population genetic differentiation despite high gene flow. We investigate range-wide population genetic structure of the California spiny (or red rock) lobster (Panulirus interruptus) and find slight, but significant global population differentiation in mtDNA (ΦST = 0.006, P = 0.001; Dest_Chao = 0.025) and seven nuclear microsatellites (FST = 0.004, P < 0.001; Dest_Chao = 0.03), despite the species’ 240- to 330-day pelagic larval duration. Significant population structure does not correlate with distance between sampling locations, and pairwise FST between adjacent sites often exceeds that among geographically distant locations. This result would typically be interpreted as unexplainable, chaotic genetic patchiness. However, kinship levels differ significantly among sites (pseudo-F16,988 = 1.39, P = 0.001), and ten of 17 sample sites have significantly greater numbers of kin than expected by chance (P < 0.05). Moreover, a higher proportion of kin within sites strongly correlates with greater genetic differentiation among sites (Dest_Chao, R2 = 0.66, P < 0.005). Sites with elevated mean kinship were geographically proximate to regions of high upwelling intensity (R2 = 0.41, P = 0.0009). These results indicate that P. interruptus does not maintain a single homogenous population, despite extreme dispersal potential. Instead, these lobsters appear to either have substantial localized recruitment or maintain planktonic larval cohesiveness whereby siblings more likely settle together than disperse across sites. More broadly, our results contribute to a growing number of studies showing that low FST and high family structure across populations can coexist, illuminating the foundations of cryptic genetic patterns and the nature of marine dispersal.

140 citations


Authors

Showing all 43548 results

NameH-indexPapersCitations
Giacomo Bruno1581687124368
Giuseppe Mancia1451369139692
Giorgio Maggi135132390270
Salvatore Nuzzo133153391600
Giuseppe Iaselli133151491558
Marcello Abbrescia132140084486
Louis Antonelli132108983916
Donato Creanza132145289206
Alexis Pompili131143786312
Gabriella Pugliese131130988714
Giovanna Selvaggi131115983274
Heriberto Castilla-Valdez130165993912
Ricardo Lopez-Fernandez129121381575
Cesare Calabria128109576784
Paolo Vitulo128112079498
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202362
2022367
20214,942
20205,245
20194,787
20184,485