COMPUESTOS DE INTERÉS FUNCIONAL DEL NANCHE (BYRSONIMA CRASSIFOLIA (L.) H.B.K.)

Porfirio Juarez Lopez (2021, [Artículo])

El fruto de nanche (Byrsonima crassifolia (L.) H.B.K.) es un producto de consumo en fresco que aporta un alto contenido de compuestos bioactivos con actividad antioxidante, vitamina C y fibra dietética. Además, se ha reportado que el fruto, hojas y semillas poseen propiedades antioxidantes, antimicrobianas, antiinflamatorias, antiproliferativas, antidepresivas y antidiabéticas. El objetivo principal de esta investigación fue la recopilación de información de los últimos diez años sobre las propiedades fisicoquímicas, nutricionales y compuestos bioactivos funcionales para la salud (polifenoles, flavonoides, vitaminas, antocianinas, fibra) del fruto de nanche.

Nance fruit (Byrsonima crassifolia (L.) H.B.K.) is a product for fresh consumption that provides a high content of bioactive compounds with antioxidant activity, vitamin C, and dietary fiber. In addition, it has been reported that the fruit, leaves, and seeds have antioxidant, antimicrobial, anti-inflammatory, antiproliferative, anti-depressive, and antidiabetic properties. The main objective of this research was the collection of information from the last 10 years on the Nance fruit physicochemical, nutritional and functional bioactive compounds that are beneficial to health (polyphenols, flavonoids, vitamins, anthocyanins, fiber).

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CIENCIAS AGRARIAS antioxidantes, carotenoides, fenoles, fibra, fitoquímicos

Enhancement of antibiotics antimicrobial activity due to the silver nanoparticles impact on the cell membrane

Roberto Vazquez-Munoz (2019, [Artículo])

The ability of microorganisms to generate resistance outcompetes with the generation of new and efficient antibiotics; therefore, it is critical to develop novel antibiotic agents and treatments to control bacterial infections. An alternative to this worldwide problem is the use of nanomaterials with antimicrobial properties. Silver nanoparticles (AgNPs) have been extensively studied due to their antimicrobial effect in different organisms. In this work, the synergistic antimicrobial effect of AgNPs and conventional antibiotics was assessed in Gram-positive and Gram-negative bacteria. AgNPs minimal inhibitory concentration was 10–12 μg mL-1 in all bacterial strains tested, regardless of their different susceptibility against antibiotics. Interestingly, a synergistic antimicrobial effect was observed when combining AgNPs and kanamycin according to the fractional inhibitory concentration index, FICI: <0.5), an additive effect by combining AgNPs and chloramphenicol (FICI: 0.5 to 1), whereas no effect was found with AgNPs and β-lactam antibiotics combinations. Flow cytometry and TEM analysis showed that sublethal concentrations of AgNPs (6–7 μg mL-1) altered the bacterial membrane potential and caused ultrastructural damage, increasing the cell membrane permeability. No chemical interactions between AgNPs and antibiotics were detected. We propose an experimental supported mechanism of action by which combinatorial effect of antimicrobials drives synergy depending on their specific target, facilitated by membrane alterations generated by AgNPs. Our results provide a deeper understanding about the synergistic mechanism of AgNPs and antibiotics, aiming to combat antimicrobial infections efficiently, especially those by multi-drug resistant microorganisms, in order to mitigate the current crisis due to antibiotic resistance. © 2019 Vazquez-Muñoz et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

ampicillin, antibiotic agent, aztreonam, beta lactam antibiotic, biapenem, chloramphenicol, kanamycin, silver nanoparticle, silver nitrate, antiinfective agent, metal nanoparticle, silver, antibiotic sensitivity, antimicrobial activity, Article, bact BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA BIOFÍSICA BIOFÍSICA

Dual function of EDTA with silver nanoparticles for root canal treatment–A novel modification

JUAN MANUEL MARTINEZ ANDRADE (2018, [Artículo])

The chelating and antimicrobial capacity of a novel modification of 17% EDTA with silver nanoparticles (AgNPs) (EDTA-AgNPs) was evaluated in-vitro for root canal treatment (RCT). The EDTA-AgNPs solution was characterized by UV-Vis spectroscopy, ?-potential and high-resolution transmission electron microscopy (HRTEM). Antimicrobial capacity was evaluated against Candida albicans and Staphylococcus aureus in planktonic and biofilm cells by broth macrodilution (24 h) and XTT assays, (1, 10 and 30 min) respectively. The chelating capacity of EDTA-AgNPs was assessed indirectly (smear layer removal) and directly (demineralizing effect) in bovine dentin at two silver concentrations, 16 and 512 ?g/ ml at 1 and 10 minutes of exposure time. Smear layer removal was evaluated by atomic force microscopy (AFM) and scanning electron microscopy (SEM). The demineralizing effect was determined by atomic absorption spectroscopy (AAS), microhardness test (MH) and X-ray diffractometer (XRD). Synthesized AgNPs were quasi-spherical in shape with an average size of 13.09 ± 8.05 nm. 17% EDTA-AgNPs was effective to inhibit C. albicans and S. aureus in planktonic and biofilm cultures. The smear layer removal and demineralizing effect were similar between 17% EDTA-AgNPs and 17% EDTA treatments. The 17% EDTA-AgNPs solution proved to be an effective antimicrobial agent, and has a similar chelating capacity to 17% EDTA alone. These in-vitro studies strongly suggest that EDTA-AgNPs could be used for effective smear layer removal, having an antimicrobial effect at the same time during RCT. © 2018 Martinez-Andrade et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

edetic acid, silver nanoparticle, edetic acid, metal nanoparticle, silver, antibacterial activity, antibiotic sensitivity, antifungal activity, antimicrobial activity, Article, atomic absorption spectrometry, atomic force microscopy, biofilm, bovine, BIOLOGÍA Y QUÍMICA CIENCIAS DE LA VIDA MICROBIOLOGÍA MICROBIOLOGÍA

CuO-NPs Improve Biosynthesis of Bioactive Compounds in Lettuce

JAZMIN MONTSERRAT GAUCIN DELGADO Luis Guillermo Hernández Montiel Manuel Fortis Hernández JUAN JOSE REYES PEREZ José Antonio González Fuentes Pablo Preciado Rangel (2022, [Artículo])

"The application of metallic nanoparticles improves the yield and content of bioactive compounds in plants. The aim of the present study was to determine the effects of the foliar application of copper nanoparticles (CuO-NPs) in the yield and content of bioactive compounds in lettuce. Different concentrations of CuO-NPs (0, 0.5, 1, 2, 4, and 6 mg mL−1 ) were applied in lettuce. The yield, nutraceutical quality, and enzymatic activity were determined. Foliar spraying of CuO-NPs induced an increase in the biosynthesis of bioactive compounds. In addition to an increase in the activity of the enzymes superoxide dismutase (SOD) and catalase (CAT) in lettuce plants, there were no negative effects on yield. Therefore, with the application of CuO-NPs, better quality lettuces are produced for the human diet due to the higher production of bioactive compounds."

nano-biofortification, nanoparticles, antioxidants, Lactuca sativa L. CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CIENCIAS AGRARIAS AGROQUÍMICA REGULADORES DEL CRECIMIENTO DE LAS PLANTAS REGULADORES DEL CRECIMIENTO DE LAS PLANTAS

Predicción de actividad antimicrobiana usando modelos de escala evolutiva a través de un flujo de trabajo en la plataforma KNIME

Prediction of antimicrobial activity using models of evolutionary scale through a workflow in the KNIME platform

Karla Lorena MartÍnez Mauricio (2023, [Tesis de maestría])

Dentro de las estrategias para combatir la resistencia antimicrobiana, se está llevando a cabo investigación para la creación de nuevos fármacos basados en péptidos antimicrobianos. En los últimos años, se han realizado esfuerzos para incorporar herramientas computacionales que ayuden a acelerar la identificación de péptidos con actividad antimicrobiana. Una de estas herramientas son los modelos QSAR basados en aprendizaje tradicional, que permiten predecir la actividad antimicrobiana en péptidos a partir de información basada en su secuencia. Un componente clave en este proceso es el tipo de características moleculares a utilizar. Recientemente, ha surgido una familia de modelos pre-entrenados llamados ESM-2, los cuales generan incrustaciones (características) que fueron aprendidas a partir de 65 millones de secuencias que abarcan diversidad evolutiva. En este trabajo de tesis, se analiza la contribución de las incrustaciones ESM-2 de diferentes dimensiones de forma individual y en conjunto en el desarrollo de modelos QSAR basados en aprendizaje tradicional para la clasificación de péptidos antimicrobianos, así como sus tipos funcionales, como antibacteriano, antifúngico y antiviral. A partir de este estudio se concluye que aumentar la capacidad de los modelos ESM-2 no implica una mejora en el rendimiento de los modelos para predecir péptidos antimicrobianos. Los modelos ESM-2 t30 y ESM-2 t33 son los más apropiados para extraer características y mejorar la exactitud en las predicciones de péptidos antimicrobianos. Además, fusionar características de diferentes incrustaciones ESM-2 es una estrategia efectiva para construir mejores modelos QSAR que el uso exclusivo de características derivadas de un modelo ESM-2 específico. Se construyeron modelos más simples con un rendimiento comparable o superior a los modelos basados en aprendizaje profundo reportados en la literatura. Para llevar a cabo este estudio se implementó un flujo de trabajo en KNIME que genera de forma automática hasta 1980 modelos de clasificación binaria basados en aprendizaje tradicional. Incorpora diversas técnicas de selección de características, algoritmos de clasificación, métricas de desempeño y una fase de limpieza de datos. Este flujo de trabajo se encuentra disponible en https://github.com/cicese-biocom/classification-QSAR-bioKom.

Molecular features play an important role in different bio-chem-informatics tasks, such as the Quantitative Structure-Activity Relationships (QSAR) modeling. Several pre-trained models have been recently created to be used in downstream tasks either by fine-tuning a specific model or by extracting features to feed traditional classifiers. In this sense, a new family of Evolutionary Scale Modeling models (termed as ESM-2 models) has been recently introduced, demonstrating outstanding results in structure protein prediction benchmarks. Herein, we are devoted to assessing the usefulness of different-dimensional embeddings derived from ESM-2 models in the prediction of antimicrobial peptides, given the great deal of attention received because of their potential to become a plausible option to mainly fight multi-drug resistant bacteria. To this end, we created a KNIME workflow to guarantee using the same modeling methodology, and consequently, carrying out fair comparisons. As a result, it can be drawn that the 640- and 1,280- dimensional embeddings are the most appropriate to be used in modeling because statistically better results were achieved from them. We also combined features from different embeddings, and we can draw that the fusion of features of different embeddings contributes to getting better models than only using a specific model ESM-2. Comparisons regarding state-of-the-art deep learning models confirm that when performing methodologically principled studies in the prediction of AMPs, non-DL based models yield comparable-to-superior results to DL-based models. The implemented KNIME workflow is availablefreely at https://github.com/cicese-biocom/classification-QSAR-bioKom. We consider that this workflow can be valuable to prevent unfair comparisons regarding new computational methods, as well as to propose new non-DL based models.

péptidos antimicrobianos, QSAR, aprendizaje automático ESM-2, KNIME antimicrobial peptides, QSAR, machine learning, ESM-2, KNIME INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ORDENADORES DISEÑO CON AYUDA DE ORDENADOR DISEÑO CON AYUDA DE ORDENADOR

Antioxidant profile of hot and sweet pepper cultivars by two extraction methods

MERCEDES GEORGINA RAMIREZ ARAGON ENRIQUE TROYO DIEGUEZ Pablo Preciado Rangel Victoria Jared Borroel García Miguel García-Carrillo JOSE LUIS GARCIA HERNANDEZ (2022, [Artículo])

"Chili peppers are among the most important vegetables in the world. The demand of this fruit reveals a noticeable rapid increasing, which importance is mainly due to its nutraceutical composition. These fruits are rich in capsaicinoids, phenolic compounds, carotenoids, and others, including vitamins. In this study, a comparative evaluation between two extraction methods of bioactive compounds of fourteen chili pepper cultivars was performed. Two extraction methods for antioxidants, the time-solvent and the ultrasound were evaluated. The design of the experiment was completely randomized with three repetitions where variables evaluated were total phenolic compounds, flavonoids content, antioxidant capacity and capsaicin. Results showed that the phenolic compounds oscillated between 48.7 - 634.1 mg GAE/100 g dry weight (DW), the flavonoids content varied from 1 - 97 mg QE/100 g DW, the antioxidant activity from 65 - 348 µmol Trolox/g DW and the capsaicin content oscillated from 0.3 - 922 mg/100 g DW. The extraction method with higher values of bioactive compounds for each of the chili pepper types was the ultrasound for all the measured variables."

Capsicum annuum, phenolics, flavonoids, capsaicin, ultrasound, antioxidant capacity CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CIENCIAS AGRARIAS AGRONOMÍA PRODUCCIÓN DE CULTIVOS PRODUCCIÓN DE CULTIVOS

EVALUACIÓN DE LA ACTIVIDAD Y EXPRESIÓN GÉNICA DE ENZIMAS ANTIOXIDANTES (SOD, GPX, GST, GR y CAT) COMO BIOMARCADORES DE EXPOSICIÓN A FTALATOS EN CULTIVO CELULAR

Elizabeth Brassea Pérez (2023, [Tesis de doctorado])

"El plastificante bis(2-etilhexilo) ftalato (DEHP) altera el equilibrio entre la producción de especies reactivas de oxígeno y las defensas antioxidantes. A pesar de la información disponible sobre los efectos tóxicos del DEHP en organismos modelo, la respuesta celular al DEHP en especies naturalmente adaptadas para tolerar el estrés oxidativo aún no se ha explorado. Los mamíferos marinos están naturalmente adaptados para hacer frente al estrés oxidativo derivado de la isquemia/reperfusión inducida por el buceo. El objetivo de este estudio fue comparar los cambios en los indicadores de estrés oxidativo asociados al DEHP en células de músculo esquelético de humanos (Homo sapiens sapiens) y lobos marinos de California (Zalophus californianus). Se recolectaron muestras de músculo abdominal de mujeres sanas sometidas a cesárea programada, tras obtener su consentimiento informado. Las muestras de músculo de lobo marino se obtuvieron de crías encontradas recientemente muertas en la colonia de Los Islotes, Golfo de California. Las células de músculo esquelético se aislaron y cultivaron en condiciones estándar. Las células se dividieron en dos grupos. Un grupo fue expuesto a DEHP (1 mM) durante 13 días (n=25; exposición), el otro grupo se mantuvo bajo condiciones control, es decir sin DEHP añadido (n=25; control). Se midió la producción de radical superóxido (O2•-), el daño oxidativo, la actividad de enzimas antioxidantes y la expresión génica mediante métodos espectrofotométricos y RT-qPCR. En células expuestas al DEHP la producción de O2•- y la actividad de superóxido dismutasa (SOD) fueron mayores que en las células bajo condiciones control para ambas especies. La actividad de glutatión S-transferasa (GST) y los niveles de carbonilos proteicos (PC) aumentaron significativamente en las células humanas expuestas a DEHP, y no significativamente en las células de lobo marino. Por el contrario, las actividades de glutatión peroxidasa (GPx) y catalasa (CAT) aumentaron significativamente en las células de lobo marino, pero no en las de humano expuestas a DEHP. Se observó una expresión diferencial de los genes implicados en el metabolismo redox entre las células control y expuestas a DEHP y entre especies. Los patrones de expresión de 26 y 19 genes fueron significativamente diferentes en las células humanas y de lobo marino, respectivamente, después de la exposición a DEHP. En las células humanas, la expresión de la GST1 microsomal y la GST (κ, μ, θ, ω y ᴢ) fue mayor,

"The plasticizer bis (2-ethylhexyl) phthalate (DEHP) dysregulates the balance between reactive oxygen species production and antioxidant defenses. Despite the information available on DEHP’s hazardous effects in model species, the cellular response to DEHP in organisms naturally adapted to tolerate oxidative stress remains unexplored. Marine mammals are naturally adapted to cope with oxidative stress derived from diving-induced ischemia/reperfusion. The objective of this study was to compare changes in oxidative stress indicators induced by DEHP in human (Homo sapiens sapiens) and California sea lion (Zalophus californianus) skeletal muscle cells. Abdominal muscle samples were collected from healthy women undergoing planned cesarean surgery at full term after obtaining informed consent. Sea lion muscle samples were obtained from recently deceased pups at Los Islotes rookery, Gulf of California. Skeletal muscle cells were isolated and cultured under standard conditions. Cells were divided into two groups. One group was exposed to 1 mM DEHP for 13 days (n=25; treatment), and the other served as a control (n=25; no DEHP). Superoxide radical (O2•-) production, oxidative damage, antioxidant enzyme activities and gene expression were measured using spectrophotometric methods and RT-qPCR. DEHP exposure increased O2•- production and superoxide dismutase (SOD) activity in both species. While the activity of glutathione S-transferase (GST) and protein carbonyls (PC) levels significantly increased in human cells, these indicators showed a non-significant elevation in sea lion cells. In contrast, glutathione peroxidase (GPx) and catalase (CAT) activities increased significantly in sea lion but not in human cultures exposed to DEHP. Genes involved in redox metabolism showed differential expression between treatments and species. DEHP exposure led to widespread modifications in gene expression patterns, with 26 and 19 differentially expressed genes in human and sea lion cells, respectively. In human cells, DEHP increased GST1 and GST (κ, μ, θ, ω, and ᴢ), while suppressing 8-oxoguanine DNA glycosylase (OGG1), CAT, GR, and nuclear factor erythroid 2-related factor 2 (NRF2) expression, suggesting increased oxidative stress and phase two detoxification processes. In contrast, DEHP increased OGG1, NRF2, GPx2 and SOD3 expression, suggesting that DEHP activates antioxidant defenses in sea lion cells, potentially contributing to maintain redox homeostasis and avoid oxidative...

Contaminantes emergentes, enzimas antioxidantes, estrés oxidativo, mamíferos, Una Salud Antioxidant enzymes, emerging pollutants, mammals, One Health, oxidative stress BIOLOGÍA Y QUÍMICA QUÍMICA BIOQUÍMICA ENZIMOLOGIA ENZIMOLOGIA

A Computational Method for the Binding Mode Prediction of COX-1 and COX-2 Inhibitors: Analyzing the Union of Coxibs, Oxicams, Propionic and Acetic Acids

ESTEFANY BELLO VARGAS JOSE MARIO ORDOÑEZ PALACIOS (2023, [Artículo])

Among the biological targets extensively investigated to improve inflammation and chronic inflammatory conditions, cyclooxygenase enzymes (COXs) occupy a prominent position. The inhibition of these enzymes, essential for mitigating inflammatory processes, is chiefly achieved through Non-Steroidal Anti-Inflammatory Drugs (NSAIDs). In this work, we introduce a novel method—based on computational molecular docking—that could aid in the structure-based design of new compounds or the description of the anti-inflammatory activity of already-tested compounds. For this, we used eight crystal complexes (four COX-1 and COX-2 each), and each pair had a specific NSAID: Celecoxib, Meloxicam, Ibuprofen, and Indomethacin. This selection was based on the ligand selectivity towards COX-1 or COX-2 and their binding mode. An interaction profile of each NSAID was compiled to detect the residues that are key for their binding mode, highlighting the interaction made by the Me group. Furthermore, we rigorously validated our models based on structural accuracy (RMSD < 1) and (R2 > 70) using eight NSAIDs and thirteen compounds with IC50 values for each enzyme. Therefore, this model can be used for the binding mode prediction of small and structurally rigid compounds that work as COX inhibitors or the prediction of new compounds that are designed by means of a structure-based approach.

BIOLOGÍA Y QUÍMICA QUÍMICA anti-inflammatory, cyclooxygenase (COXs), molecular docking, NSAIDs, Celecoxib, Meloxicam, Ibuprofen,

Hacia el desarrollo de un nuevo antiparasitario basado en células en suspensión de Carica papaya

CYNTHIA ALEJANDRA GUZMÁN MEDINA (2023, [Tesis de doctorado])

Las enfermedades parasitarias son un problema de salud pública que afectan a más de la

quinta parte de la población a nivel mundial. Además de la morbilidad que generan, sino

son tratadas y controladas de manera adecuada pueden llegar a causar la muerte.

En el mercado existen diferentes antiparasitarios comerciales, que si bien son efectivos,

presentan diferentes efectos adversos tanto para el individuo parasitado (i.e. destrucción

de la microbiota intestinal) como para el medio ambiente. Este panorama señala la

relevancia de desarrollar tratamientos antiparasitarios más amigables con el ambiente y con

menores efectos adversos que estén disponibles actualmente en el mercado. Productos

obtenidos a partir de plantas con propiedades anti-parasitarias, cultivadas in vitro en

condiciones controladas, podrían representar una alternativa realista. Entre ellas figura la

planta Carica papaya, especie de zonas tropicales y subtropicales del planeta a cuyos frutos

se les adjudica actividades antiparasitarias. Estas propiedades se atribuyen a algunos de

sus compuestos concentrados en el latex y en las semillas como la papaina, la

quimiopapaína, la lisozima, la glicil-endopeptidasa, la proteasa de cisteína y el benzil-

isotiocinato.

El objetivo del presente trabajo fue evaluar la actividad antiparasitaria in vitro e in vivo de

un conjunto de callos y líneas de células de papaya de Carica papaya contra cisticercos de

Taenia crassiceps (cestodo) y contra trofozoitos de Entamoeba histolytica (protozoario). Los

extractos acuosos obtenidos a partir de callos y células cultivados en placa o en suspensión,

respectivamente, de las diferentes líneas de papaya revelaron alta capacidad cisticida

(>98% de mortalidad) in vitro contra cisticercos de Taenia crassiceps. En la evaluación in

vivo la línea no transformada obtuvo mayor efecto cisticida a 10mg/mL reduciendo el

número de cisticercos gemantes y aumentando los cisticercos calcificados en niveles

similares a los obtenidos utilizando antiparasitarios comerciales (albendazol y niclosamida).

Las líneas transformadas y sin transformar de papaya evaluadas indujeron una alta

capacidad amebicida (97% de mortalidad) in vitro contra trofozoitos de Entamoeba

histolytica. Las diferentes líneas transformadas y sin transformar de papaya redujeron

significativamente el número de abscesos amebianos y previnieron la hepatomegalia de

manera no significativamente diferente que el anti-parasitario comercial (metronidazol).

Los resultados generados en el presente estudio señalan al extracto acuoso obtenido a

partir de cultivos en suspensión de células de papaya transformada y no transformada

indujeron alto nivel de protección in vitro e in vivo por lo tanto; este es un producto efectivo

para el tratamiento de la cisticercosis y la amebiasis.

Parasitic diseases are a public health problem that affect more than a fifth of the population

worldwide. Additionally, and along with the morbidity the produce, they can cause death if

they are not treated and controlled adequately.

There are different commercial antiparasitic on the market which, although effective,

present different adverse effects both for the individual (i.e., destruction of the intestinal

microbiota) and for the environment alike. This panorama points out the relevance of

developing more environmentally friendly antiparasitic treatments with fewer adverse effects

than the ones currently available on the market. Products obtained from plants with anti-

parasitic properties, grown in vitro under controlled conditions, could represent a realistic

alternative. Among them is the Carica papaya, a species from tropical and subtropical areas

of the planet whose fruits are believed to have antiparasitic activities. These properties are attributed to some of its compounds concentrated in the latex and seeds such as papain,

chymopapain, lysozyme, glycyl-endopeptidase, cysteine-proteinase and benzyl-

isothiocyanate.

The objective of the present work is to evaluate the in vitro and in vivo antiparasitic activity

of a set of papaya callus and cell lines from Carica papaya against cysticerci of Taenia

crassiceps (cestode) and against trophozoites of Entamoeba histolytica (protozoan). The

aqueous extracts obtained from callus and cells cultured in plates or in suspension,

respectively, of the different papaya lines revealed high cysticidal capacity (>98% mortality)

in vitro against Taenia crassiceps cysticerci. Meanwhile, in the in vivo evaluation, the non-

transformed line obtained a greater cysticidal effect at 10 mg/mL, reducing the number of

budding cysticerci and increasing calcified cysticerci at levels like those obtained using

commercial antiparasitic (albendazole and niclosamide). The papaya lines evaluated

induced a high amoebicidal capacity (97% mortality) in vitro against Entamoeba histolytica

trophozoites. The different papaya lines significantly reduced the number of amoebic

abscesses and prevented hepatomegaly in a non-significantly different manner than the

commercial anti-parasitic (metronidazole).

The results produced in this thesis indicate that the aqueous extract obtained from

suspension cultures of transformed and non-transformed papaya cells induced a high level

of protection in vitro and in vivo. Therefore, this may represent an effective product for the

treatment of cysticercosis and amoebiasis.

CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CIENCIAS AGRARIAS Carica papaya, antiparasitario, células en suspensión, T. crassiceps, E. histolytica. Carica papaya, antiparasitic, in-suspension cells, T. crassiceps, E. histolytica.

Detección de comportamiento no verbal en interacción humano-robot

Detection of non-verbal behavior in human-robot interaction

Ernesto Adrián Lozano De la Parra (2023, [Tesis de maestría])

La comunicación no verbal desempeña un papel vital en la interacción humana. En el contexto de la interacción humano-robot (IHR), los robots sociales están diseñados principalmente para la comunicación verbal con los humanos, dejando a la comunicación no verbal como un área de investigación abierta. En este trabajo, se presenta una arquitectura flexible y abierta llamada Software Arquitechture for Nonverbal Interaction in Human-Robot Interaction (SANI-HRI) diseñada para facilitar las interacciones no verbales en IHR. Entre sus componentes se encuentra un Cuaderno Computacional P2P basado en navegador web, aprovechado para codificar, ejecutar y compartir programas reactivos. Pueden incluirse modelos de aprendizaje automático para el reconocimiento en tiempo real de gestos, poses y estados de ´animo, empleando protocolos como MQTT. Otro componente clave es un Broker para distribuir datos entre distintos dispositivos físicos, como robots, dispositivos vestibles y sensores ambientales, así como modelos de aprendizaje automático que comprendan diferentes tipos de datos. Se demuestra la utilidad de esta arquitectura mediante tres escenarios de interacción: (i) el primero que emplea la proxémica y la dirección de la mirada para iniciar un encuentro improvisado, (ii) un segundo que utiliza técnicas de visión por computadora para detectar y analizar expresiones faciales y corporales, así como el uso sensores biométricos para obtener datos de ritmo cardiaco durante una rutina de ejercicio, y (iii) un tercero que incorpora el reconocimiento de objetos y Modelos de Lenguaje Grandes para sugerir comidas a cocinar en función de los ingredientes disponibles. Estos escenarios ilustran cómo los componentes de la arquitectura pueden integrarse para abordar nuevos escenarios, en los que los robots necesitan inferir señales no verbales de los usuarios.

Nonverbal communication plays a vital role in human interaction. In the context of Human-Robot Interaction (HRI), social robots are designed primarily for verbal-based communication with humans, making nonverbal communication an open research area. We present a flexible, open framework called Software Architecture for Nonverbal Interaction in Human-Robot Interaction (SANI-HRI) designed to facilitate nonverbal interactions in HRI. Among its components it has a P2P Browser-Based Computational Notebook, leveraged to code, run, and share reactive programs. Machine-learning models can be included for real-time recognition of gestures, poses, and moods, employing protocols such as MQTT. Another key component is a broker for distributing data among different physical devices like the robot, wearables, and environmental sensors and also machine learning models. We demonstrate this framework’s utility through three interaction scenarios: (i) the first one employing proxemics and gaze direction to initiate an impromptu encounter, (ii) a second that uses computer vision techniques to detect and analyze facial and body expressions, as well as the use of biometric sensors to obtain heart rate data during a workout routine, and (iii) a third one incorporating object recognition and a Large-Language Model to suggest meals to be cooked based on available ingredients. These scenarios illustrate how the framework’s components can be seamlessly integrated to address new scenarios, where robots need to infer nonverbal cues from users.

Interacción humano-robot, Comunicación no verbal, Broker MQTT, Notebook computacional, Modelos linguísticos grandes, SANI-HRI Human-robot interaction, Nonverbal communication, Broker MQTT, Computational notebook, Large language models, SANI-HRI INGENIERÍA Y TECNOLOGÍA CIENCIAS TECNOLÓGICAS TECNOLOGÍA DE LOS ORDENADORES SISTEMAS DE RECONOCIMIENTO DE CARACTERES SISTEMAS DE RECONOCIMIENTO DE CARACTERES