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  1. Article ; Online: Vitellogenin genes are transcribed in Culex quinquefasciatus ovary.

    Moura, Alexandre S / Costa-da-Silva, André Luis / Peixoto, Pedro S / Maciel, Ceres / Cardoso, André F

    Memorias do Instituto Oswaldo Cruz

    2023  Volume 118, Page(s) e220143

    Abstract: Background: Culex quinquefasciatus, a cosmopolitan, domestic, and highly anthropophilic mosquito, is a vector of pathogenic arboviruses such as West Nile virus and Rift Valley virus, as well as lymphatic filariasis. The current knowledge on its ... ...

    Abstract Background: Culex quinquefasciatus, a cosmopolitan, domestic, and highly anthropophilic mosquito, is a vector of pathogenic arboviruses such as West Nile virus and Rift Valley virus, as well as lymphatic filariasis. The current knowledge on its reproductive physiology regarding vitellogenin expression in different tissues is still limited.
    Objectives: In this study, we analysed the transcriptional profiles of vitellogenin genes in the fat body and ovaries of C. quinquefasciatus females during the first gonotrophic cycle.
    Methods: C. quinquefasciatus ovaries and/or fat bodies were dissected in different times during the first gonotrophic cycle and total RNA was extracted and used for reverse transcription polymerase chain reaction, quantitative real time-PCR, and in situ hybridisation.
    Findings: We confirmed the classical descriptions of the vitellogenic process in mosquitoes by verifying that vitellogenin genes are transcribed in the fat bodies of C. quinquefasciatus females. Using RNA in situ hybridisation approach, we showed that vitellogenin genes are also transcribed in developing ovaries, specifically by the follicle cells.
    Main conclusions: This is the first time that vitellogenin transcripts are observed in mosquito ovaries. Studies to determine if Vg transcripts are translated into proteins and their contribution to the reproductive success of the mosquito need to be further investigated.
    MeSH term(s) Animals ; Female ; Culex/genetics ; Vitellogenins/genetics ; Vitellogenins/metabolism ; Ovary/metabolism ; Mosquito Vectors/genetics ; Culicidae ; RNA/metabolism
    Chemical Substances Vitellogenins ; RNA (63231-63-0)
    Language English
    Publishing date 2023-07-17
    Publishing country Brazil
    Document type Journal Article
    ZDB-ID 953293-6
    ISSN 1678-8060 ; 0074-0276
    ISSN (online) 1678-8060
    ISSN 0074-0276
    DOI 10.1590/0074-02760220143
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Impact of network centrality and income on slowing infection spread after outbreaks.

    Yücel, Shiv G / Pereira, Rafael H M / Peixoto, Pedro S / Camargo, Chico Q

    Applied network science

    2023  Volume 8, Issue 1, Page(s) 16

    Abstract: The COVID-19 pandemic has shed light on how the spread of infectious diseases worldwide are importantly shaped by both human mobility networks and socio-economic factors. However, few studies look at how both socio-economic conditions and the complex ... ...

    Abstract The COVID-19 pandemic has shed light on how the spread of infectious diseases worldwide are importantly shaped by both human mobility networks and socio-economic factors. However, few studies look at how both socio-economic conditions and the complex network properties of human mobility patterns interact, and how they influence outbreaks together. We introduce a novel methodology, called the Infection Delay Model, to calculate how the arrival time of an infection varies geographically, considering both effective distance-based metrics and differences in regions' capacity to isolate-a feature associated with socio-economic inequalities. To illustrate an application of the Infection Delay Model, this paper integrates household travel survey data with cell phone mobility data from the São Paulo metropolitan region to assess the effectiveness of lockdowns to slow the spread of COVID-19. Rather than operating under the assumption that the next pandemic will begin in the same region as the last, the model estimates infection delays under every possible outbreak scenario, allowing for generalizable insights into the effectiveness of interventions to delay a region's first case. The model sheds light on how the effectiveness of lockdowns to slow the spread of disease is influenced by the interaction of mobility networks and socio-economic levels. We find that a negative relationship emerges between network centrality and the infection delay after a lockdown, irrespective of income. Furthermore, for regions across all income and centrality levels, outbreaks starting in less central locations were more effectively slowed by a lockdown. Using the Infection Delay Model, this paper identifies and quantifies a new dimension of disease risk faced by those most central in a mobility network.
    Language English
    Publishing date 2023-02-24
    Publishing country Switzerland
    Document type Journal Article
    ISSN 2364-8228
    ISSN (online) 2364-8228
    DOI 10.1007/s41109-023-00540-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Inducing Polyp Bail-out in Coral Colonies to Obtain Individualized Micropropagates for Laboratory Experimental Use.

    Cardoso, Pedro M / Alsaggaf, Ahmed A / Villela, Helena M / Peixoto, Raquel S

    Journal of visualized experiments : JoVE

    2022  , Issue 182

    Abstract: Corals are colonial animals formed by modular units called polyps. Coral polyps are physiologically linked and connected by tissue. The phenomenon of polyp bail-out is a process induced by acute stress, in which coral polyps digest the tissue connecting ... ...

    Abstract Corals are colonial animals formed by modular units called polyps. Coral polyps are physiologically linked and connected by tissue. The phenomenon of polyp bail-out is a process induced by acute stress, in which coral polyps digest the tissue connecting them to the rest of the colony and ultimately detach from the skeleton to continue living as separate individuals. Coral biologists have acknowledged the process of polyp bail-out for years, but only recently the micropropagates generated by this process have been recognized as a model system for coral biology studies. The use of polyp bail-out can create a high number of clonal units from a single coral fragment. Another benefit is that single polyps or patches of polyps can be easily visualized under a microscope and maintained in highly standardized low-cost environments such as Petri dishes, flasks, and microfluidic chips. The present protocol demonstrates reproducible methods capable of inducing coral micropropagation and different approaches for maintaining the single polyps alive in the long term. This methodology was capable of successfully cultivating polyps of the coral species Pocillopora verrucosa for up to 8 weeks after bail-out, exhibiting the practicality of using individual coral polyps for coral research.
    MeSH term(s) Animals ; Anthozoa/physiology ; Coral Reefs ; Microfluidics ; Microscopy ; Models, Biological
    Language English
    Publishing date 2022-04-28
    Publishing country United States
    Document type Journal Article ; Video-Audio Media ; Research Support, Non-U.S. Gov't
    ZDB-ID 2259946-0
    ISSN 1940-087X ; 1940-087X
    ISSN (online) 1940-087X
    ISSN 1940-087X
    DOI 10.3791/63840
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Exploring the Potential Molecular Mechanisms of Interactions between a Probiotic Consortium and Its Coral Host.

    Rosado, Phillipe M / Cardoso, Pedro M / Rosado, João G / Schultz, Júnia / Nunes da Rocha, Ulisses / Keller-Costa, Tina / Peixoto, Raquel S

    mSystems

    2023  Volume 8, Issue 1, Page(s) e0092122

    Abstract: Beneficial microorganisms for corals (BMCs) have been demonstrated to be effective probiotics to alleviate bleaching and mitigate coral ... ...

    Abstract Beneficial microorganisms for corals (BMCs) have been demonstrated to be effective probiotics to alleviate bleaching and mitigate coral mortality
    MeSH term(s) Animals ; Anthozoa/genetics ; Bacteria/genetics ; Probiotics/pharmacology ; Coral Bleaching
    Language English
    Publishing date 2023-01-23
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 2379-5077
    ISSN (online) 2379-5077
    DOI 10.1128/msystems.00921-22
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: A Longitudinal Study with a Laser Methane Detector (LMD) Highlighting Lactation Cycle-Related Differences in Methane Emissions from Dairy Cows.

    Pereira, Ana Margarida / Peixoto, Pedro / Rosa, Henrique J D / Vouzela, Carlos / Madruga, João S / Borba, Alfredo E S

    Animals : an open access journal from MDPI

    2023  Volume 13, Issue 6

    Abstract: Reversing climate change requires broad, cohesive, and strategic plans for the mitigation of greenhouse gas emissions from animal farming. The implementation and evaluation of such plans demand accurate and accessible methods for monitoring on-field ... ...

    Abstract Reversing climate change requires broad, cohesive, and strategic plans for the mitigation of greenhouse gas emissions from animal farming. The implementation and evaluation of such plans demand accurate and accessible methods for monitoring on-field CH
    Language English
    Publishing date 2023-03-08
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2606558-7
    ISSN 2076-2615
    ISSN 2076-2615
    DOI 10.3390/ani13060974
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Modeling future spread of infections via mobile geolocation data and population dynamics. An application to COVID-19 in Brazil.

    Peixoto, Pedro S / Marcondes, Diego / Peixoto, Cláudia / Oliva, Sérgio M

    PloS one

    2020  Volume 15, Issue 7, Page(s) e0235732

    Abstract: Mobile geolocation data is a valuable asset in the assessment of movement patterns of a population. Once a highly contagious disease takes place in a location the movement patterns aid in predicting the potential spatial spreading of the disease, hence ... ...

    Abstract Mobile geolocation data is a valuable asset in the assessment of movement patterns of a population. Once a highly contagious disease takes place in a location the movement patterns aid in predicting the potential spatial spreading of the disease, hence mobile data becomes a crucial tool to epidemic models. In this work, based on millions of anonymized mobile visits data in Brazil, we investigate the most probable spreading patterns of the COVID-19 within states of Brazil. The study is intended to help public administrators in action plans and resources allocation, whilst studying how mobile geolocation data may be employed as a measure of population mobility during an epidemic. This study focuses on the states of São Paulo and Rio de Janeiro during the period of March 2020, when the disease first started to spread in these states. Metapopulation models for the disease spread were simulated in order to evaluate the risk of infection of each city within the states, by ranking them according to the time the disease will take to infect each city. We observed that, although the high-risk regions are those closer to the capital cities, where the outbreak has started, there are also cities in the countryside with great risk. The mathematical framework developed in this paper is quite general and may be applied to locations around the world to evaluate the risk of infection by diseases, in special the COVID-19, when geolocation data is available.
    MeSH term(s) Brazil/epidemiology ; COVID-19 ; Cities/epidemiology ; Computer Simulation ; Coronavirus Infections/epidemiology ; Disease Outbreaks ; Health Status Indicators ; Humans ; Mobile Applications ; Models, Biological ; Pandemics ; Pneumonia, Viral/epidemiology ; Population Density ; Travel
    Keywords covid19
    Language English
    Publishing date 2020-07-16
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0235732
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: The double burden of malnutrition and environmental enteric dysfunction as potential factors affecting gut-derived melatonin in children under adverse environments.

    Bezerra, Alane N / Peixoto, Caroline L / Lopes, Synara C / Bruin, Veralice M S / Bruin, Pedro Felipe C / Oriá, Reinaldo B

    Frontiers in nutrition

    2023  Volume 10, Page(s) 1217173

    Abstract: Poor environmental conditions combined with continuous unhealthy and unsafe diets may substantially increase the risk of a vicious cycle of enteric infections (EED-environmental enteric dysfunction) and malnutrition (DBM-double burden of malnutrition) in ...

    Abstract Poor environmental conditions combined with continuous unhealthy and unsafe diets may substantially increase the risk of a vicious cycle of enteric infections (EED-environmental enteric dysfunction) and malnutrition (DBM-double burden of malnutrition) in children. Gut melatonin, mainly produced by the intestinal microbiota, can modulate the composition, variety, and dynamics of the microbiota itself and may affect and be affected by intestinal microbiota alterations due to DBM and EED.
    Language English
    Publishing date 2023-11-27
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2776676-7
    ISSN 2296-861X
    ISSN 2296-861X
    DOI 10.3389/fnut.2023.1217173
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Modeling future spread of infections via mobile geolocation data and population dynamics. An application to COVID-19 in Brazil.

    Pedro S Peixoto / Diego Marcondes / Cláudia Peixoto / Sérgio M Oliva

    PLoS ONE, Vol 15, Iss 7, p e

    2020  Volume 0235732

    Abstract: Mobile geolocation data is a valuable asset in the assessment of movement patterns of a population. Once a highly contagious disease takes place in a location the movement patterns aid in predicting the potential spatial spreading of the disease, hence ... ...

    Abstract Mobile geolocation data is a valuable asset in the assessment of movement patterns of a population. Once a highly contagious disease takes place in a location the movement patterns aid in predicting the potential spatial spreading of the disease, hence mobile data becomes a crucial tool to epidemic models. In this work, based on millions of anonymized mobile visits data in Brazil, we investigate the most probable spreading patterns of the COVID-19 within states of Brazil. The study is intended to help public administrators in action plans and resources allocation, whilst studying how mobile geolocation data may be employed as a measure of population mobility during an epidemic. This study focuses on the states of São Paulo and Rio de Janeiro during the period of March 2020, when the disease first started to spread in these states. Metapopulation models for the disease spread were simulated in order to evaluate the risk of infection of each city within the states, by ranking them according to the time the disease will take to infect each city. We observed that, although the high-risk regions are those closer to the capital cities, where the outbreak has started, there are also cities in the countryside with great risk. The mathematical framework developed in this paper is quite general and may be applied to locations around the world to evaluate the risk of infection by diseases, in special the COVID-19, when geolocation data is available.
    Keywords Medicine ; R ; Science ; Q ; covid19
    Subject code 910
    Language English
    Publishing date 2020-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: A Longitudinal Study with a Laser Methane Detector (LMD) Highlighting Lactation Cycle-Related Differences in Methane Emissions from Dairy Cows

    Ana Margarida Pereira / Pedro Peixoto / Henrique J. D. Rosa / Carlos Vouzela / João S. Madruga / Alfredo E. S. Borba

    Animals, Vol 13, Iss 974, p

    2023  Volume 974

    Abstract: ... analysis. Daily CH 4 emission was estimated from each profile’s mean CH 4 concentration (MEAN_CH 4 ). Data ...

    Abstract Reversing climate change requires broad, cohesive, and strategic plans for the mitigation of greenhouse gas emissions from animal farming. The implementation and evaluation of such plans demand accurate and accessible methods for monitoring on-field CH 4 concentration in eructating breath. Therefore, this paper describes a longitudinal study over six months, aiming to test a protocol using a laser methane detector (LMD) to monitor CH 4 emissions in semi-extensive dairy farm systems. Over 10 time points, CH 4 measurements were performed in dry (late gestation) and lactating cows at an Azorean dairy farm. Methane traits including CH 4 concentration related to eructation (E_CH4) and respiration (R_CH 4 ), and eructation events, were automatically computed from CH 4 measured values using algorithms created for peak detection and analysis. Daily CH 4 emission was estimated from each profile’s mean CH 4 concentration (MEAN_CH 4 ). Data were analyzed using a linear mixed model, including breed, lactation stage, and parity as fixed effects, and cow (subject) and time point as random effects. The results showed that Holsteins had higher E_CH 4 than Jersey cows ( p < 0.001). Although a breed-related trend was found in daily CH 4 emission ( p = 0.060), it was not significant when normalized to daily milk yield ( p > 0.05). Methane emissions were lower in dry than in lactation cows ( p < 0.05) and increased with the advancement of the lactation, even when normalizing it to daily milk yield ( p < 0.05). Primiparous cows had lower daily CH 4 emissions related to R_ CH 4 compared to multiparous ( p < 0.001). This allowed the identification of periods of higher CH 4 emissions within the milk production cycle of dairy cows, and thus, the opportunity to tailor mitigation strategies accordingly.
    Keywords Azores ; dairy cows ; extensive farming systems ; laser methane detector (LMD) ; methane ; milk sustainability ; Veterinary medicine ; SF600-1100 ; Zoology ; QL1-991
    Subject code 630
    Language English
    Publishing date 2023-03-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: A Longitudinal Study with a Laser Methane Detector (LMD) Highlighting Lactation Cycle-Related Differences in Methane Emissions from Dairy Cows

    Pereira, Ana Margarida / Peixoto, Pedro / Rosa, Henrique J. D. / Vouzela, Carlos / Madruga, João S. / Borba, Alfredo E. S.

    Animals. 2023 Mar. 08, v. 13, no. 6

    2023  

    Abstract: ... analysis. Daily CH₄ emission was estimated from each profile’s mean CH₄ concentration (MEAN_CH₄). Data were ...

    Abstract Reversing climate change requires broad, cohesive, and strategic plans for the mitigation of greenhouse gas emissions from animal farming. The implementation and evaluation of such plans demand accurate and accessible methods for monitoring on-field CH₄ concentration in eructating breath. Therefore, this paper describes a longitudinal study over six months, aiming to test a protocol using a laser methane detector (LMD) to monitor CH₄ emissions in semi-extensive dairy farm systems. Over 10 time points, CH₄ measurements were performed in dry (late gestation) and lactating cows at an Azorean dairy farm. Methane traits including CH₄ concentration related to eructation (E_CH4) and respiration (R_CH₄), and eructation events, were automatically computed from CH₄ measured values using algorithms created for peak detection and analysis. Daily CH₄ emission was estimated from each profile’s mean CH₄ concentration (MEAN_CH₄). Data were analyzed using a linear mixed model, including breed, lactation stage, and parity as fixed effects, and cow (subject) and time point as random effects. The results showed that Holsteins had higher E_CH₄ than Jersey cows (p < 0.001). Although a breed-related trend was found in daily CH₄ emission (p = 0.060), it was not significant when normalized to daily milk yield (p > 0.05). Methane emissions were lower in dry than in lactation cows (p < 0.05) and increased with the advancement of the lactation, even when normalizing it to daily milk yield (p < 0.05). Primiparous cows had lower daily CH₄ emissions related to R_ CH₄ compared to multiparous (p < 0.001). This allowed the identification of periods of higher CH₄ emissions within the milk production cycle of dairy cows, and thus, the opportunity to tailor mitigation strategies accordingly.
    Keywords Holstein ; Jersey ; climate change ; cows ; dairy farming ; greenhouse gases ; lactation stage ; longitudinal studies ; methane ; milk yield ; pregnancy ; statistical models
    Language English
    Dates of publication 2023-0308
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article ; Online
    ZDB-ID 2606558-7
    ISSN 2076-2615
    ISSN 2076-2615
    DOI 10.3390/ani13060974
    Database NAL-Catalogue (AGRICOLA)

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