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  1. AU="Cox, Caitlin"
  2. AU="Sheng, Xin-Qing"
  3. AU="Marrink, Siewert J"
  4. AU="Boland, Fiona"
  5. AU="Semcesen, Liana N"
  6. AU="Beah, Peter Y"
  7. AU="Zakzuk, Josefina"
  8. AU="Buchner, Denise"
  9. AU="Xueting Feng"
  10. AU="Chen, Si-Rui"
  11. AU="Hoffmann, Sven"
  12. AU="Kang, Kyung Jun"
  13. AU="Brinks, Henriette L"

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  1. Artikel ; Online: Benthic invertebrate biodiversity enhancement with reef cubes®, evidenced by environmental DNA analysis of sediment samples

    Hickling, Samuel / Murphy, James / Cox, Caitlin / Mynott, Sebastian / Birbeck, Tom / Wright, Steve

    Ecological Engineering. 2023 Oct., v. 195 p.107064-

    2023  

    Abstract: Nature inclusive design (NID) is an “eco-friendly” approach to the construction of manmade infrastructure. reef cubes® are patented construction products designed to be used as NID options for marine developments. Artificial reefs can be made with reef ... ...

    Abstract Nature inclusive design (NID) is an “eco-friendly” approach to the construction of manmade infrastructure. reef cubes® are patented construction products designed to be used as NID options for marine developments. Artificial reefs can be made with reef cubes® when used either as replacements of or additions to conventional marine manmade structures in marine construction projects. The first long-term, marine research station with reef cubes® is in Torbay, Devon, UK. A goal of the installation, to enhance biodiversity, is assessed here in regards to the benthic invertebrate community, with a novel method of sedimentary environmental DNA (eDNA) analysis. There are two primary aims targeted in this study: firstly to use sedimentary eDNA metabarcoding to assess if the enhancement of invertebrate biodiversity has been achieved and secondly to assess if the reef cubes have a negative impact on the infaunal diversity of exposed sediments in their vicinity. Sediment samples were taken in and away from, the reef cube® test site, in periods before and after their installation. Genetic material in the samples was amplified, sequenced, and amplicon sequence variants (ASVs) assigned to taxonomic ranks. Invertebrate metazoan biodiversity was analysed in terms of taxonomic richness, taxonomic diversity, genetic diversity of ASVs per taxa and species richness of: orders, functional feeding groups and positional lifestyle groups (infauna, epifauna or plankton). A significantly higher biodiversity of invertebrates was found at the reef sites across all measures. Benthic epifauna, suspension feeders and carnivore taxa in particular exhibited higher diversity. Mussels, barnacles, anemones, hydrozoans and copepods were the most distinguishing taxa. Benthic infauna were similarly diverse inside and around the reef cubes® to surrounding sediments. The results suggest that at least for the reef cubes® sampled here the goal of enhancing invertebrate biodiversity at the test site has been achieved. There was no negative effect found on the infaunal diversity in exposed sediments inside and beside the reef cubes®. Application of eDNA analyses to sediment samples represents a promising and efficient method for assessing such ecological goals with the installation of NIDs and artificial reefs.
    Schlagwörter Copepoda ; DNA barcoding ; Hydrozoa ; carnivores ; environmental DNA ; fauna ; genetic variation ; infrastructure ; invertebrates ; lifestyle ; plankton ; sediments ; species richness ; Nature Inclusive Design ; Functional feeding groups ; Artificial reef ; Reef cubes® ; Hybrid nature-based solutions
    Sprache Englisch
    Erscheinungsverlauf 2023-10
    Erscheinungsort Elsevier B.V.
    Dokumenttyp Artikel ; Online
    ZDB-ID 1127407-4
    ISSN 0925-8574
    ISSN 0925-8574
    DOI 10.1016/j.ecoleng.2023.107064
    Datenquelle NAL Katalog (AGRICOLA)

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  2. Artikel ; Online: Quantifying antibody kinetics and RNA detection during early-phase SARS-CoV-2 infection by time since symptom onset.

    Borremans, Benny / Gamble, Amandine / Prager, K C / Helman, Sarah K / McClain, Abby M / Cox, Caitlin / Savage, Van / Lloyd-Smith, James O

    eLife

    2020  Band 9

    Abstract: Understanding and mitigating SARS-CoV-2 transmission hinges on antibody and viral RNA data that inform exposure and shedding, but extensive variation in assays, study group demographics and laboratory protocols across published studies confounds ... ...

    Abstract Understanding and mitigating SARS-CoV-2 transmission hinges on antibody and viral RNA data that inform exposure and shedding, but extensive variation in assays, study group demographics and laboratory protocols across published studies confounds inference of true biological patterns. Our meta-analysis leverages 3214 datapoints from 516 individuals in 21 studies to reveal that seroconversion of both IgG and IgM occurs around 12 days post-symptom onset (range 1-40), with extensive individual variation that is not significantly associated with disease severity. IgG and IgM detection probabilities increase from roughly 10% at symptom onset to 98-100% by day 22, after which IgM wanes while IgG remains reliably detectable. RNA detection probability decreases from roughly 90% to zero by day 30, and is highest in feces and lower respiratory tract samples. Our findings provide a coherent evidence base for interpreting clinical diagnostics, and for the mathematical models and serological surveys that underpin public health policies.
    Mesh-Begriff(e) Antibodies, Viral/blood ; Antibodies, Viral/isolation & purification ; Betacoronavirus/genetics ; Betacoronavirus/immunology ; COVID-19 ; COVID-19 Testing ; Clinical Laboratory Techniques/methods ; Coronavirus Infections/blood ; Coronavirus Infections/diagnosis ; Coronavirus Infections/immunology ; Coronavirus Infections/virology ; Enzyme-Linked Immunosorbent Assay ; Humans ; Immunoglobulin G/blood ; Immunoglobulin G/isolation & purification ; Immunoglobulin M/blood ; Immunoglobulin M/isolation & purification ; Pandemics ; Pneumonia, Viral/blood ; Pneumonia, Viral/diagnosis ; Pneumonia, Viral/immunology ; Pneumonia, Viral/virology ; RNA, Viral/analysis ; RNA, Viral/isolation & purification ; SARS-CoV-2
    Chemische Substanzen Antibodies, Viral ; Immunoglobulin G ; Immunoglobulin M ; RNA, Viral
    Schlagwörter covid19
    Sprache Englisch
    Erscheinungsdatum 2020-09-07
    Erscheinungsland England
    Dokumenttyp Journal Article ; Meta-Analysis ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 2687154-3
    ISSN 2050-084X ; 2050-084X
    ISSN (online) 2050-084X
    ISSN 2050-084X
    DOI 10.7554/eLife.60122
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  3. Artikel ; Online: Pathogenic Leptospira are widespread in the urban wildlife of southern California.

    Helman, Sarah K / Tokuyama, Amanda F N / Mummah, Riley O / Stone, Nathan E / Gamble, Mason W / Snedden, Celine E / Borremans, Benny / Gomez, Ana C R / Cox, Caitlin / Nussbaum, Julianne / Tweedt, Isobel / Haake, David A / Galloway, Renee L / Monzón, Javier / Riley, Seth P D / Sikich, Jeff A / Brown, Justin / Friscia, Anthony / Sahl, Jason W /
    Wagner, David M / Lynch, Jessica W / Prager, Katherine C / Lloyd-Smith, James O

    Scientific reports

    2023  Band 13, Heft 1, Seite(n) 14368

    Abstract: Leptospirosis, the most widespread zoonotic disease in the world, is broadly understudied in multi-host wildlife systems. Knowledge gaps regarding Leptospira circulation in wildlife, particularly in densely populated areas, contribute to frequent ... ...

    Abstract Leptospirosis, the most widespread zoonotic disease in the world, is broadly understudied in multi-host wildlife systems. Knowledge gaps regarding Leptospira circulation in wildlife, particularly in densely populated areas, contribute to frequent misdiagnoses in humans and domestic animals. We assessed Leptospira prevalence levels and risk factors in five target wildlife species across the greater Los Angeles region: striped skunks (Mephitis mephitis), raccoons (Procyon lotor), coyotes (Canis latrans), Virginia opossums (Didelphis virginiana), and fox squirrels (Sciurus niger). We sampled more than 960 individual animals, including over 700 from target species in the greater Los Angeles region, and an additional 266 sampled opportunistically from other California regions and species. In the five target species seroprevalences ranged from 5 to 60%, and infection prevalences ranged from 0.8 to 15.2% in all except fox squirrels (0%). Leptospira phylogenomics and patterns of serologic reactivity suggest that mainland terrestrial wildlife, particularly mesocarnivores, could be the source of repeated observed introductions of Leptospira into local marine and island ecosystems. Overall, we found evidence of widespread Leptospira exposure in wildlife across Los Angeles and surrounding regions. This indicates exposure risk for humans and domestic animals and highlights that this pathogen can circulate endemically in many wildlife species even in densely populated urban areas.
    Mesh-Begriff(e) Animals ; Humans ; Leptospira/genetics ; Animals, Wild ; Ecosystem ; Mephitidae ; Los Angeles ; Animals, Domestic ; Coyotes ; Didelphis ; Geraniaceae ; Raccoons ; Sciuridae
    Sprache Englisch
    Erscheinungsdatum 2023-09-01
    Erscheinungsland England
    Dokumenttyp Journal Article ; Research Support, U.S. Gov't, Non-P.H.S. ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-40322-2
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  4. Artikel ; Online: Alternative approaches to epilepsy treatment.

    McElroy-Cox, Caitlin

    Current neurology and neuroscience reports

    2009  Band 9, Heft 4, Seite(n) 313–318

    Abstract: Complementary and alternative medicine (CAM) is a diverse group of health care practices and products that fall outside the realm of traditional Western medical theory and practice and that are used to complement or replace conventional medical therapies. ...

    Abstract Complementary and alternative medicine (CAM) is a diverse group of health care practices and products that fall outside the realm of traditional Western medical theory and practice and that are used to complement or replace conventional medical therapies. The use of CAM has increased over the past two decades, and surveys have shown that up to 44% of patients with epilepsy are using some form of CAM treatment. This article reviews the CAM modalities of meditation, yoga, relaxation techniques, biofeedback, nutritional and herbal supplements, dietary measures, chiropractic care, acupuncture, Reiki, and homeopathy and what is known about their potential efficacy in patients with epilepsy.
    Mesh-Begriff(e) Acupuncture ; Animals ; Biofeedback, Psychology ; Complementary Therapies ; Diet, Ketogenic ; Epilepsy/diet therapy ; Epilepsy/therapy ; Fatty Acids, Omega-3/administration & dosage ; Homeopathy ; Humans ; Mind-Body Therapies ; Phytotherapy ; Relaxation Therapy ; Therapeutic Touch ; Yoga
    Chemische Substanzen Fatty Acids, Omega-3
    Sprache Englisch
    Erscheinungsdatum 2009-06-11
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Review
    ZDB-ID 2057363-7
    ISSN 1534-6293 ; 1528-4042
    ISSN (online) 1534-6293
    ISSN 1528-4042
    DOI 10.1007/s11910-009-0047-0
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  5. Artikel ; Online: Quantifying antibody kinetics and RNA detection during early-phase SARS-CoV-2 infection by time since symptom onset

    Borremans, Benny / Gamble, Amandine / Prager, KC / Helman, Sarah K / McClain, Abby M / Cox, Caitlin / Savage, Van / Lloyd-Smith, James O

    eLife

    2020  Band 9

    Abstract: Understanding and mitigating SARS-CoV-2 transmission hinges on antibody and viral RNA data that inform exposure and shedding, but extensive variation in assays, study group demographics and laboratory protocols across published studies confounds ... ...

    Abstract Understanding and mitigating SARS-CoV-2 transmission hinges on antibody and viral RNA data that inform exposure and shedding, but extensive variation in assays, study group demographics and laboratory protocols across published studies confounds inference of true biological patterns. Our meta-analysis leverages 3214 datapoints from 516 individuals in 21 studies to reveal that seroconversion of both IgG and IgM occurs around 12 days post-symptom onset (range 1–40), with extensive individual variation that is not significantly associated with disease severity. IgG and IgM detection probabilities increase from roughly 10% at symptom onset to 98–100% by day 22, after which IgM wanes while IgG remains reliably detectable. RNA detection probability decreases from roughly 90% to zero by day 30, and is highest in feces and lower respiratory tract samples. Our findings provide a coherent evidence base for interpreting clinical diagnostics, and for the mathematical models and serological surveys that underpin public health policies.
    Schlagwörter General Biochemistry, Genetics and Molecular Biology ; General Immunology and Microbiology ; General Neuroscience ; General Medicine ; covid19
    Sprache Englisch
    Verlag eLife Sciences Publications, Ltd
    Erscheinungsland uk
    Dokumenttyp Artikel ; Online
    ZDB-ID 2687154-3
    ISSN 2050-084X
    ISSN 2050-084X
    DOI 10.7554/elife.60122
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  6. Artikel: Quantifying antibody kinetics and RNA detection during early-phase SARS-CoV-2 infection by time since symptom onset

    Borremans, Benny / Gamble, Amandine / Prager, K C / Helman, Sarah K / McClain, Abby M / Cox, Caitlin / Savage, Van / Lloyd-Smith, James O

    eLife (Cambridge)

    Abstract: Understanding and mitigating SARS-CoV-2 transmission hinges on antibody and viral RNA data that inform exposure and shedding, but extensive variation in assays, study group demographics and laboratory protocols across published studies confounds ... ...

    Abstract Understanding and mitigating SARS-CoV-2 transmission hinges on antibody and viral RNA data that inform exposure and shedding, but extensive variation in assays, study group demographics and laboratory protocols across published studies confounds inference of true biological patterns. Our meta-analysis leverages 3214 datapoints from 516 individuals in 21 studies to reveal that seroconversion of both IgG and IgM occurs around 12 days post-symptom onset (range 1-40), with extensive individual variation that is not significantly associated with disease severity. IgG and IgM detection probabilities increase from roughly 10% at symptom onset to 98-100% by day 22, after which IgM wanes while IgG remains reliably detectable. RNA detection probability decreases from roughly 90% to zero by day 30, and is highest in feces and lower respiratory tract samples. Our findings provide a coherent evidence base for interpreting clinical diagnostics, and for the mathematical models and serological surveys that underpin public health policies.
    Schlagwörter covid19
    Verlag WHO
    Dokumenttyp Artikel
    Anmerkung WHO #Covidence: #745648
    Datenquelle COVID19

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  7. Artikel ; Online: Quantifying antibody kinetics and RNA shedding during early-phase SARS-CoV-2 infection

    Borremans, Benny / Gamble, Amandine / Prager, K C / Helman, Sarah K / McClain, Abby M / Cox, Caitlin / Savage, Van / Lloyd-Smith, James O

    medRxiv

    Abstract: Our ability to understand and mitigate the spread of SARS-CoV-2 depends largely on antibody and viral RNA data that provide information about past exposure and shedding. Five months into the outbreak there is an impressive number of studies reporting ... ...

    Abstract Our ability to understand and mitigate the spread of SARS-CoV-2 depends largely on antibody and viral RNA data that provide information about past exposure and shedding. Five months into the outbreak there is an impressive number of studies reporting antibody kinetics and RNA shedding dynamics, but extensive variation in detection assays, study group demographics, and laboratory protocols has presented a challenge for inferring the true biological patterns. Here, we combine existing data on SARS-CoV-2 IgG, IgM and RNA kinetics using a formal quantitative approach that enables integration of 3,214 data points from 516 individuals, published in 22 studies. This allows us to determine the mean values and distributions of IgG and IgM seroconversion times and titer kinetics, and to characterize how antibody and RNA detection probabilities change during the early phase of infection. We observe extensive variation in antibody response patterns and RNA detection patterns, explained by both individual heterogeneity and protocol differences such as targeted antigen and sample type. These results provide a robust reference for clinical management of individual patients, and a foundation for the mathematical models and serological surveys that underpin public health policies.
    Schlagwörter covid19
    Sprache Englisch
    Erscheinungsdatum 2020-05-20
    Verlag Cold Spring Harbor Laboratory Press
    Dokumenttyp Artikel ; Online
    DOI 10.1101/2020.05.15.20103275
    Datenquelle COVID19

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  8. Buch ; Online: Author response

    Borremans, Benny / Gamble, Amandine / Prager, KC / Helman, Sarah K / McClain, Abby M / Cox, Caitlin / Savage, Van / Lloyd-Smith, James O

    Quantifying antibody kinetics and RNA detection during early-phase SARS-CoV-2 infection by time since symptom onset

    2020  

    Schlagwörter covid19
    Verlag eLife Sciences Publications, Ltd
    Erscheinungsland uk
    Dokumenttyp Buch ; Online
    DOI 10.7554/elife.60122.sa2
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  9. Artikel ; Online: Quantifying antibody kinetics and RNA detection during early-phase SARS-CoV-2 infection by time since symptom onset.

    Borremans, Benny / Gamble, Amandine / Prager, KC / Helman, Sarah K / McClain, Abby M / Cox, Caitlin / Savage, Van / Lloyd-Smith, James O

    2020  

    Abstract: Understanding and mitigating SARS-CoV-2 transmission hinges on antibody and viral RNA data that inform exposure and shedding, but extensive variation in assays, study group demographics and laboratory protocols across published studies confounds ... ...

    Abstract Understanding and mitigating SARS-CoV-2 transmission hinges on antibody and viral RNA data that inform exposure and shedding, but extensive variation in assays, study group demographics and laboratory protocols across published studies confounds inference of true biological patterns. Our meta-analysis leverages 3214 datapoints from 516 individuals in 21 studies to reveal that seroconversion of both IgG and IgM occurs around 12 days post-symptom onset (range 1-40), with extensive individual variation that is not significantly associated with disease severity. IgG and IgM detection probabilities increase from roughly 10% at symptom onset to 98-100% by day 22, after which IgM wanes while IgG remains reliably detectable. RNA detection probability decreases from roughly 90% to zero by day 30, and is highest in feces and lower respiratory tract samples. Our findings provide a coherent evidence base for interpreting clinical diagnostics, and for the mathematical models and serological surveys that underpin public health policies.
    Schlagwörter Humans ; Pneumonia ; Viral ; Coronavirus Infections ; Immunoglobulin G ; Immunoglobulin M ; RNA ; Antibodies ; Enzyme-Linked Immunosorbent Assay ; Clinical Laboratory Techniques ; Pandemics ; Betacoronavirus ; COVID-19 ; SARS-CoV-2 ; antibody kinetics ; detection probability ; epidemiology ; global health ; human ; meta-analysis ; Biochemistry and Cell Biology ; covid19
    Erscheinungsdatum 2020-09-07
    Verlag eScholarship, University of California
    Erscheinungsland us
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  10. Buch ; Online: Quantifying antibody kinetics and RNA shedding during early-phase SARS-CoV-2 infection

    Borremans, Benny / Gamble, Amandine / Prager, KC / Helman, Sarah K / McClain, Abby M / Cox, Caitlin / Savage, Van / Lloyd-Smith, James O.

    2020  

    Abstract: Our ability to understand and mitigate the spread of SARS-CoV-2 depends largely on antibody and viral RNA data that provide information about past exposure and shedding. Five months into the outbreak there is an impressive number of studies reporting ... ...

    Abstract Our ability to understand and mitigate the spread of SARS-CoV-2 depends largely on antibody and viral RNA data that provide information about past exposure and shedding. Five months into the outbreak there is an impressive number of studies reporting antibody kinetics and RNA shedding dynamics, but extensive variation in detection assays, study group demographics, and laboratory protocols has presented a challenge for inferring the true biological patterns. Here, we combine existing data on SARS-CoV-2 IgG, IgM and RNA kinetics using a formal quantitative approach that enables integration of 3,214 data points from 516 individuals, published in 22 studies. This allows us to determine the mean values and distributions of IgG and IgM seroconversion times and titer kinetics, and to characterize how antibody and RNA detection probabilities change during the early phase of infection. We observe extensive variation in antibody response patterns and RNA detection patterns, explained by both individual heterogeneity and protocol differences such as targeted antigen and sample type. These results provide a robust reference for clinical management of individual patients, and a foundation for the mathematical models and serological surveys that underpin public health policies.
    Schlagwörter covid19
    Verlag Center for Open Science
    Erscheinungsland us
    Dokumenttyp Buch ; Online
    DOI 10.31219/osf.io/evy4q
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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