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Metabolic reprogramming of the inflammatory response in the nervous system:the crossover between inflammation and metabolism

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Neural Regeneration Research 2024年第10期19卷 2189-2201页

作者： jesus Amo-Aparicio Charles A.Dinarello Ruben Lopez-Vales Department of Medicine University of ColoradoAuroraCOUSA Institute of Neurosciences and Department Cell BiologyPhysiology and ImmunologyUniversitat Autònoma de BarcelonaBellaterraSpain Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas(CIBERNED) Instituto de Salud Carlos ⅢSpain

Metabolism is a fundamental process by which biochemicals are broken down to produce energy(catabolism) or used to build macromolecules(anabolism). Metabolism has received renewed attention as a mechanism that generates molecules that modulate multiple cellular responses. This was first identified in cancer cells as the Warburg effect, but it is also present in immunocompetent cells. Studies have revealed a bidirectional influence of cellular metabolism and immune cell function, highlighting the significance of metabolic reprogramming in immune cell activation and effector functions. Metabolic processes such as glycolysis, oxidative phosphorylation, and fatty acid oxidation have been shown to undergo dynamic changes during immune cell response, facilitating the energetic and biosynthetic demands. This review aims to provide a better understanding of the metabolic reprogramming that occurs in different immune cells upon activation, with a special focus on central nervous system disorders. Understanding the metabolic changes of the immune response not only provides insights into the fundamental mechanisms that regulate immune cell function but also opens new approaches for therapeutic strategies aimed at manipulating the immune system.

关键词： central nervous system fatty acid oxidation glycolysis inflammation macrophage metabolism microglia neurodegeneration oxidative phosphorylation

Survival effects of antibiotic exposure during the larval and adult stages in the West Nile virus vector Culex pipiens

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Insect Science 2024年第2期31卷 542-550页

作者： Marta Garrigos Mario Garrido Manuel Morales-Yuste JosuéMartinez-de la Puente jesus Veiga Faculty of Pharmacy Department of ParasitologyUniversity of GranadaGranadaSpain CIBER de Epidemiologia y Salud Publica(CIBERESP) MadridSpain

The ability of mosquitoes to transmit a pathogen is affected,among other factors,by their survival rate,which is partly modulated by their microbiota.Mosquito microbiota is acquired during the larval phase and modified during their development and adult feeding behavior,being highly dependent on environmental factors.Pharmaceutical residues including antibiotics are widespread pollutants potentially being present in mosquito breeding waters likely affecting their microbiota.Here,we used Culex pipiens mosquitoes to assess the impact of antibiotic exposure during the larval and adult stages on the survival rate of adult mosquitoes.Wild-collected larvae were randomly assigned to two treatments:larvae maintained in water supplemented with antibiotics and control larvae.Emerged adults were subsequently assigned to each of two treatments,fed with sugar solution with antibiotics and fed only with sugar solution(controls).Larval exposure to antibiotics significantly increased the survival rate of adult females that received a control diet.In addition,the effect of adult exposure to antibiotics on the survival rate of both male and female mosquitoes depended on the number of days that larvae fed ad libitum in the laboratory before emergence.In particular,shorter larval ad libitum feeding periods reduced the survival rate of antibiotic-treated adult mosquitoes compared with those that emerged after a longer larval feeding period.These differences were not found in control adult mosquitoes.Our results extend the current understanding of the impact of antibiotic exposure of mosquitoes on a key component of vectorial capacity,that is the vector survival rate.

关键词： antibiotics avian malaria microbiota mosquitoes vector competence vector survival

Output feedback adaptive super twisting sliding mode control for quadrotor UAVs

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Control Theory and Technology 2024年第1期22卷 92-105页

作者： Oscar Salas-Peña jesus DeLeón-Morales Susana V.Gutiérrez-Martínez École Centrale de Nantes-LS2N UMR 6004 CNRS44300NantesFrance Facultad de Ingeniería Mecánica y Eléctrica Universidad Autónoma de Nuevo León66451San Nicolás de Los GarzaMexico

In this paper, a sliding mode control with adaptive gain combined with a high-order sliding mode observer to solve the tracking problem for a quadrotor UAV is addressed, in presence of bounded external disturbances and parametric uncertainties. The high order sliding mode observer is designed for estimating the linear and angular speed in order to implement the proposed scheme. Furthermore, a Lyapunov function is introduced to design the controller with the adaptation law, whereas an analysis of finite time convergence towards to zero is provided, where sufficient conditions are obtained. Regarding previous works from literature, one important advantage of proposed strategy is that the gains of control are parameterized in terms of only one adaptive parameter, which reduces the control effort by avoiding gain overestimation. Numerical simulations for tracking control of the quadrotor are given to show the performance of proposed adaptive control–observer scheme.

关键词： Adaptive super twisting controller High-order sliding modes observer UAV

Novel umami peptides from two Termitomyces mushrooms and molecular docking to the taste receptor T1R1/T1R3

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Food Science and Human Wellness 2024年第2期13卷 1055-1064页

作者： Lanyun Zhang Li Zhang jesus Pérez-Moreno Lu Bin Fengming Zhang Fuqiang Yu The Germplasm Bank of Wild Species Yunnan Key Laboratory for Fungal Diversity and Green DevelopmentKunming Institute of BotanyChinese Academy of SciencesKunming 650201China College of Chemical Science and Technology Yunnan UniversityKunming 650091China College of Food Science and Technology Yunnan Agricultural UniversityKunming 650201China Colegio Postgraduados Campus MontecilloEdafologíaTexcoco 56230México Key Laboratory for Forest Resources Conservation and Use in the Southwest Mountains of China Southwest Forestry UniversityKunming 650224China

Wild edible Termitomyces mushrooms are popular in Southwest China and umami is important flavor qualities of edible mushrooms.This study aimed to understand the umami taste of Termitomyces intermedius and Termitomyces aff.bulborhizus.Ten umami peptides from aqueous extracts were separated using a Sephadex G-15 gel filtration chromatography.The intense umami fraction was evaluated by both sensory evaluation and electronic tongue.They were identified as KLNDAQAPK,DSTDEKFLR,VGKGAHLSGEH,MLKKKKLA,SLGFGGPPGY,TVATFSSSTKPDD,AMDDDEADLLLLAM,VEDEDEKPKEK,SPEEKKEEET and PEGADKPNK.Seven peptides,except VEDEDEKPKEK,SPEEKKEEET and PEGADKPNK were selectively synthesized to verify their taste characteristics.All these 10 peptides had umami or salt taste.The 10 peptides were conducted by molecular docking to study their interaction with identified peptides and the umami taste receptor T1R1/T1R3.All these 10 peptides perfectly docked the active residues in the T1R3 subunit.Our results provide theoretical basis for the umami taste and address the umami mechanism of two wild edible Termitomyces mushrooms.

关键词： Termitomyces Non-volatile flavor compounds Umami peptides Taste characteristics Molecular docking

A role for the Tgf-β/Bmp co-receptor Endoglin in the molecular oscillator that regulates the hair follicle cycle

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Journal of Molecular Cell Biology 2019年第1期11卷 39-52页

作者： Maria I.Calvo-Sanchez Sandra Fernandez-Martos Elisa Carrasco Gema Moreno-Bueno Carmelo Bernabeu Miguel Quintanilla jesus espada Instituto de Investigaciones Biomedicas'Alberto Sols' Consejo Superior de Investigaciones Cientificas(CSIC)-Departamento de BioqufmicaUniversidad Autonoma de Madrid(UAM)Madrid 28029Spain Instituto de Investigaciones Biosanitarias Facultad de Ciencias ExperimentalesUniversidad Francisco de Vitoria(UFV)Pozuelo de Alarcon 28223Spain Centro de Investigacion Biomedica en Red de Cancer(CIBERONC) Spain Centro de Investigaciones Biologicas Consejo Superior de Investigaciones Cientificas(CSIC)and Centro de Investigacion Biomedica en Red de Enfermedades Raras(CIBERER)Madrid 28040Spain Centro Integrativo de Biologfa y Quimica Aplicada Universidad Bernardo O'HigginsSantiago 8370854Chile Instituto Ramon y Cajal de Investigacion Sanitaria(IRYCIS) Hospital Universitario Ramon y CajalMadridSpain

The hair follicle is a biological oscillator that alternates growth,regression,and rest phases driven by the sequential activation of the proliferation differentiation programs of resident stem cell populations.The activation of hair follicle stem cell niches and subsequent entry into the growing phase is mainly regulated by Wnt/β-catenin signalling,while regression and resting phases are mainly regulated by Tgf-β/Bmp/Smad activity.A major question still unresolved is the nature of the molecular switch that dictates the coordinated transition between both signalling pathways.Here we have focused on the role of Endoglin(Eng),a key co-receptor for members of the Tgf-β/Bmp family of growth factors.Using an Eng haploinsufficient mouse model,we report that Eng is required to maintain a correct follicle cycling pattern and for an adequate stimulation of hair follicle stem cell niches.We further report thatβ-catenin binds to the Eng promoter depending on Bmp signalling.Moreover,we show thatβ-catenin interacts with Smad4 in a Bmp/Eng-dependent context and both proteins act synergistically to activate Eng promoter transcription.These observations point to the existence of a growth/rest switching mechanism in the hair follicle that is based on an Eng-dependent feedback cross-talk between Wnt/β-catenin and Bmp/Smad signals.

关键词： Endoglin hair follicle skin stem cells Wnt/β-catenin Tgf-β/Bmp/Smad

Personality Trait Detection via Transfer Learning

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Computers, Materials & Continua 2024年第2期78卷 1933-1956页

作者： Bashar Alshouha jesus Serrano-Guerrero Francisco Chiclana Francisco P.Romero Jose A.Olivas Department of Information Technologies and Systems University of Castilla-La ManchaCiudad Real13071Spain Institute of Artificial Intelligence School of Computer Science and InformaticsDe Montfort UniversityThe GatewayLeicesterLE19BHUK

Personality recognition plays a pivotal role when developing user-centric solutions such as recommender systems or decision support systems across various domains,including education,e-commerce,or human resources.Tra-ditional machine learning techniques have been broadly employed for personality trait identification;nevertheless,the development of new technologies based on deep learning has led to new opportunities to improve their performance.This study focuses on the capabilities of pre-trained language models such as BERT,RoBERTa,ALBERT,ELECTRA,ERNIE,or XLNet,to deal with the task of personality recognition.These models are able to capture structural features from textual content and comprehend a multitude of language facets and complex features such as hierarchical relationships or long-term dependencies.This makes them suitable to classify multi-label personality traits from reviews while mitigating computational costs.The focus of this approach centers on developing an architecture based on different layers able to capture the semantic context and structural features from texts.Moreover,it is able to fine-tune the previous models using the MyPersonality dataset,which comprises 9,917 status updates contributed by 250 Facebook users.These status updates are categorized according to the well-known Big Five personality model,setting the stage for a comprehensive exploration of personality traits.To test the proposal,a set of experiments have been performed using different metrics such as the exact match ratio,hamming loss,zero-one-loss,precision,recall,F1-score,and weighted averages.The results reveal ERNIE is the top-performing model,achieving an exact match ratio of 72.32%,an accuracy rate of 87.17%,and 84.41%of F1-score.The findings demonstrate that the tested models substantially outperform other state-of-the-art studies,enhancing the accuracy by at least 3%and confirming them as powerful tools for personality recognition.These findings represent substantial advancements in personality recognition,making th

关键词： Personality trait detection pre-trained language model big five model transfer learning

Epidemiologic investigation of pediatric distal humerus fractures: An American insurance claims database study

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World Journal of Orthopedics 2024年第1期15卷 52-60页

作者： Kyle Jay Klahs Jake E Dertinger Grant T Mello Kevin Thapa Alexis B Sandler E'Stephan J jesus Garcia Nata Parnes Department of Orthopaedic Surgery Texas Tech University Health Sciences-El PasoEl PasoTX 79905United States Medical School California Health Sciences University College of Osteopathic MedicineClovisCA 93611United States Undergraduate School Binghampton UniversityVestalNY 13902United States Department of Orthopaedic Surgery William Beaumont Army Medical CenterFort BlissTX 79918United States Department of Orthopaedic Surgery Carthage Area HospitalCarthageNY 13619United States

BACKGROUND Distal humerus elbow fractures are one of the most common traumatic fractures seen in pediatric patients and present as three main types:Supracondylar(SC),lateral condyle(LC),and medial epicondyle(ME)fractures.AIM To evaluate the epidemiology of pediatric distal humerus fractures(SC,LC,and ME)from an American insurance claims database.METHODS A retrospective review was performed on patients 17 years and younger with the ICD 9 and 10 codes for SC,LC and ME fractures based on the IBM Truven MarketScan®Commercial and IBM Truven MarketScan Medicare Supplemental databases.Patients from 2015 to 2020 were queried for treatments,patient age,sex,length of hospitalization,and comorbidities.RESULTS A total of 1133 SC,154 LC,and 124 ME fractures were identified.SC fractures had the highest percentage of operation at 83%,followed by LC(78%)and ME fractures(41%).Male patients were,on average,older than female patients for both SC and ME fractures.CONCLUSION In the insurance claims databases used,SC fractures were the most reported,followed by LC fractures,and finally ME fractures.Age was identified to be a factor for how a pediatric distal humerus fractures,with patients with SC and LC fractures being younger than those with ME fractures.The peak age per injury per sex was similar to reported historic central tendencies,despite reported trends for younger physiologic development.

关键词： Supracondylar humerus fracture Lateral condyle fracture Medial epicondyle fracture Pediatric elbow Truven Epidemiology

Application of a Pulsed Electric Field to Modify the Free Energy of the Active Site of an Azoreductase

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Journal of Applied Mathematics and Physics 2024年第1期12卷 249-255页

作者： jesus Magyber de jesus Miranda Pedro Guillermo Reyes-Romero Jorge Mulia-Rodríguez Daniel Osorio-González Molecular Biophysics Laboratory Faculty of Sciences Autonomous University of State of Mexico Toluca Mexico Advanced Physics Laboratory Faculty of Sciences Autonomous University of State of Mexico Toluca Mexico

The Gibbs free energy is strongly related to the stability and catalytic function of an enzyme through the energetic changes that occur in the chemical reactions the enzyme catalyzes. In this in silico study, a pulsed electric field was applied to an azoreductase, and its effect on the Gibbs free energy of molecular docking with two dyes was measured. We propose that certain stimuli from a pulsed electric field favor the structural stability of the enzyme by promoting an arrangement in the active site, potentially leading to an enhancement of enzymatic activity overall.

关键词： Pulsed Electric Field Molecular Dynamics Docking Azoreductase

Low-Density Microplastics in Recreational Parks of Al Ain, United Arab Emirates: Abundance, Composition, and Potential Effects on Soil Health

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Journal of Environmental Protection 2024年第2期15卷 109-123页

作者： Rener De jesus Ahmed Abuibaid Bassam Al-Hindawi Ruwaya AlKendi Department of Biology College of Science United Arab Emirates University Al Ain UAE Department of Chemistry College of Science United Arab Emirates University Al Ain UAE

Microplastics (MPs) have been an emerging concern due to their harmful effects on the ecosystem and are ubiquitous in various habitats, from marine to terrestrial environments. However, studies on the presence of MPs in recreational areas are limited. One of the previous works has reported that urban recreational parks are considered “sinks” for plastic debris, including MPs. In this study, low-density MPs (LD-MPs) in soil samples collected from recreational parks of Al Ain, United Arab Emirates (UAE) were isolated by density flotation method. Results showed that these parks have varying levels of LD-MPs caused by various anthropogenic activities, such as sludge use and application of reclaimed water from wastewater treatment facilities in those areas. These plastic particles were isolated in 87% of the soil samples, with an average concentration of 1550 ± 340 MPs/kg. Predominantly, these comprised large LD-MPs (300 - 5000 μm), with red and blue being the most common colors. Fourier transform infrared (FTIR) spectroscopy identified possible synthetic polymers, including polyethylene and polypropylene. Additionally, a negative correlation was observed between LD-MP concentration and soil pH and moisture content, indicating potential adverse effects on soil health. These findings highlight the need for monitoring and managing microplastic pollution in urban recreational areas to mitigate its ecological impacts.

关键词： Plastic Particles FTIR Analysis Microfibers Soil Pollutants Urban Parks