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142
datasets available to search
ShareScore release 0.9.0
Dataset results
142 results for “coinfections”
A Phase 2b, Safety and Efficacy Study of Boceprevir in Patients Coinfected With HIV and Hepatitis C (P05411 AM4)
ClinicalTrials.gov study NCT00959699. IPD Sharing: YES. Countries: 0. Publications: 1.
Efficacy and Safety of TDF+3TC+EFV in Adults With HIV/HBV Coinfection
ClinicalTrials.gov study NCT01751555. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Study to Evaluate the Efficacy and Safety of Experimental Drugs ABT- 493/ABT-530 in Adults With Chronic Hepatitis C Virus Genotype 1-6 Infection and Human Immunodeficiency Virus -1 Coinfection (EXPE
ClinicalTrials.gov study NCT02738138. IPD Sharing: Not stated. Countries: 0. Publications: 4.
HBV-HIV Coinfection Research Network
ClinicalTrials.gov study NCT01924455. IPD Sharing: Not stated. Countries: 2. Publications: 6.
An Open Label Non-Randomized Dose Escalating Trial to Assess Safety and Tolerability of Alb-Interferon Alfa 2b Every Two Weeks With Ribavirin Among HIV/HCV Coinfected Individuals
ClinicalTrials.gov study NCT00489385. IPD Sharing: Not stated. Countries: 1. Publications: 3.
HDV-Europe: Prevalence and Outcome of HDV in HIV/HBV Coinfection
ClinicalTrials.gov study NCT06264583. IPD Sharing: NO. Countries: 1. Publications: 1.
Pilot Study to Assess the Efficacy of and Tolerance to a QUadruple Therapy to Treat HIV-HCV Coinfected Patients Previously Null Responders
ClinicalTrials.gov study NCT01725542. IPD Sharing: Not stated. Countries: 1. Publications: 1.
HIV-DNA Dynamics in HIV Monoinfected or HIV/HCV Coinfected Patients
ClinicalTrials.gov study NCT02836782. IPD Sharing: UNDECIDED. Countries: 1. Publications: 8.
Data from: Priority effects within coinfected hosts can drive unexpected population-scale patterns of parasite prevalence
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Data from: Globally invasive genotypes of the amphibian chytrid outcompete an enzootic lineage in coinfections
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Data from: Host resistance and pathogen aggressiveness are key determinants of coinfection in the wild
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Data from: Role of temperature and coinfection in mediating pathogen life-history traits
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Data from: Coinfection timing drives host population dynamics through changes in virulence
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Data from: Natural resistance to worms exacerbates bovine tuberculosis severity independently of worm coinfection
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Within-host priority effects and epidemic timing determine outbreak severity in coinfected populations
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Data from: Examining the dynamics of Epstein-Barr virus shedding in the tonsils and the impact of HIV-1 coinfection on daily saliva viral loads
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Social immunity modulates competition between coinfecting pathogens
<p>Coinfections with multiple pathogens can result in complex within-host dynamics affecting virulence and transmission. Whilst multiple infections are intensively studied in solitary hosts, it is so far unresolved how social host interactions interfere with pathogen competition, and if this depends on coinfection diversity. We studied how the collective disease defenses of ants – their social immunity – influence pathogen competition in coinfections of same or different fungal pathogen species. Social immunity reduced virulence for all pathogen combinations, but interfered with spore production only in different-species coinfections. Here, it decreased overall pathogen sporulation success, whilst simultaneously increasing co-sporulation on individual cadavers and maintaining a higher pathogen diversity at the community-level. Mathematical modeling revealed that host sanitary care alone can modulate competitive outcomes between pathogens, giving advantage to fast-germinating, thus less grooming-sensitive ones. Host social interactions can hence modulate infection dynamics in coinfected group members, thereby altering pathogen communities at the host- and population-level.</p>
Data from: Using multi-response models to investigate pathogen coinfections across scales: insights from emerging diseases of amphibians
1.Associations among parasites affect many aspects of host-parasite dynamics, but a lack of analytical tools has limited investigations of parasite correlations in observational data that are often nested across spatial and biological scales. 2.Here we illustrate how hierarchical, multiresponse modeling can characterize parasite associations by allowing for hierarchical structuring, offering estimates of uncertainty, and incorporating correlational model structures. After introducing the general approach, we apply this framework to investigate coinfections among four amphibian parasites (the trematodes Ribeiroia ondatrae and Echinostoma spp., the chytrid fungus Batrachochytrium dendrobatidis, and ranaviruses) and among >2000 individual hosts, 90 study sites, and five amphibian host species. 3.Ninety-two percent of sites and 80% of hosts supported two or more pathogen species. Our results revealed strong correlations between parasite pairs that varied by scale (from among hosts to among sites) and classification (microparasite versus macroparasite), but were broadly consistent across taxonomically diverse host species. At the host-scale, infection by the trematode R. ondatrae correlated positively with the microparasites, B. dendrobatidis and ranavirus, which were themselves positively associated. However, infection by a second trematode (Echinostoma spp.) correlated negatively with B. dendrobatidis and ranavirus, both at the host- and site-level scales, highlighting the importance of differential relationships between micro- and macroparasites. 4.Given the extensive number of coinfecting symbiont combinations inherent to natural systems, particularly across multiple host species, multiresponse modeling of cross-sectional field data offers a valuable tool to identify a tractable number of hypothesized interactions for experimental testing while accounting for uncertainty and potential sources of co-exposure. For amphibians specifically, the high frequency of co-occurrence and coinfection among these pathogens – each of which is known to impair host fitness or survival – highlights the urgency of understanding parasite associations for conservation and disease management.
Data from: Antibodies and coinfection drive variation in nematode burdens in wild mice
Coinfections with parasitic helminths and microparasites are highly common in nature and can lead to complex within-host interactions between parasite species which can cause negative health outcomes for humans, and domestic and wild animals. Many of these negative health effects worsen with increasing parasite burdens. However, even though many studies have identified several key factors that determine worm burdens across various host systems, less is known about how the immune response interacts with these factors and what the consequences are for the outcome of within-host parasite interactions. We investigated two interacting gastrointestinal parasites of wild wood mice, Heligmosomoides polygyrus (nematode) and Eimeria spp. (coccidia), in order to investigate how host demographic factors, coinfection and the host´s immune response affected parasite burdens and infection probability, and to determine what factors predict parasite-specific and total antibody levels. We found that antibody levels were the only factors that significantly influenced variation in both H. polygyrus burden and infection probability, and Eimeria spp. infection probability. Total faecal IgA was negatively associated with H. polygyrus burden and Eimeria spp. infection, whereas H. polygyrus-specific IgG1 was positively associated with H. polygyrus infection. We further found that the presence of Eimeria spp. had a negative effect on both faecal IgA and H. polygyrus-specific IgG1. Our results show that even in the context of natural demographic and immunological variation amongst individuals, we were able to decipher a role for the host humoral immune response in shaping the within-host interaction between H. polygyrus and Eimeria spp.
Data from: Life‐history correlations change under coinfection leading to higher pathogen load
The ability of a parasite strain to establish and grow on its host may be drastically altered by simultaneous infection by other parasite strains. However, we still lack an understanding of how life‐history allocations may change under coinfection, although life‐history correlations are a critical mechanism restricting the evolutionary potential and epidemiological dynamics of pathogens. Here, we study how life‐history stages and their correlations change in the obligate fungal pathogen Podosphaera plantaginis under single infection and coinfection scenarios. We find increased pathogen loads under coinfection, but this is not explained by an enhanced performance at any of the life‐history stages that constitute infections. Instead, we show that under coinfection the correlation between timing of sporulation and final pathogen load becomes positive. The changes in pathogen life‐history allocations leading to more severe infections under coinfection can have far‐reaching epidemiological consequences, as well as implication for our understanding of the evolution of virulence.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.