Review in ACS nano, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
6 authors.
Zach TroyerDepartment of Molecular and Comparative Pathobiology, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.ORCID 0000-0002-1821-7334
Olesia GololobovaDepartment of Molecular and Comparative Pathobiology, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.ORCID 0000-0002-0392-268X
Tom A P DriedonksDepartment of CDL Research, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.ORCID 0000-0003-0928-9712
Loren D EricksonBeirne Carter Center for Immunology Research, University of Virginia, P.O. Box 801386, Charlottesville, Virginia 22908, United States.
Joy WolframSchool of Chemical Engineering, The University of Queensland, Brisbane, Queensland 4072, Australia.ORCID 0000-0003-0579-9897
Kenneth W WitwerDepartment of Molecular and Comparative Pathobiology, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, United States.
Funding
Next-generation extracellular vesicle biologics to target central nervous system and peripheral reservoirs of HIVR01AI144997 · NIAID · JOHNS HOPKINS UNIVERSITY · PI RAMRATNAM, BHARAT, WITWER, KENNETH W · 2019 to 2023
$4.0M
Extracellular Vesicle and Extracellular RNA Biomarkers of HIV-1 Central Nervous System Pathogenesis and Cigarette UseR01DA047807 · NIDA · JOHNS HOPKINS UNIVERSITY · PI WITWER, KENNETH W · 2018 to 2022
$3.7M
Extracellular vesicle-based senotherapeutics for aging diabetic kidneydiseaseR01AG076537 · NIA · MAYO CLINIC JACKSONVILLE · PI LaTonya J Hickson · 2023 to 2026
$2.3M
Novel Approaches to Capture, Sorting, and Characterization of CNS-Origin Extracellular VesiclesR33MH118164 · NIMH · JOHNS HOPKINS UNIVERSITY · PI MACHAIRAKI, VASILIKI, WITWER, KENNETH W · 2020 to 2022
$2.2M
Novel Separation Methods for exRNA Carriers: Extracellular Vesicles, Lipoprotein Particles, and Protein AggregatesUH3CA241694 · NCI · JOHNS HOPKINS UNIVERSITY · PI WITWER, KENNETH W · 2021 to 2022
$1.1M
Novel Separation Methods for exRNA Carriers: Extracellular Vesicles, Lipoprotein Particles, and Protein AggregatesUG3CA241694 · NCI · JOHNS HOPKINS UNIVERSITY · PI WITWER, KENNETH W · 2019 to 2020
$941k
Novel Approaches to Capture, Sorting, and Characterization of CNS-Origin Extracellular VesiclesR21MH118164 · NIMH · JOHNS HOPKINS UNIVERSITY · PI MACHAIRAKI, VASILIKI, WITWER, KENNETH W · 2018 to 2019
Substantial efforts have been made in understanding interactions between extracellular vesicles and cells, particularly in small animal models, such as rats and mice. However, many questions remain unanswered about the fate of intravenously injected extracellular vesicles in large animals, especially in terms of interactions with immune cells. In this article, we summarize findings from two recent nonhuman primate studies involving extracellular vesicle interactions with circulating immune cells. We highlight the surprising finding that certain extracellular vesicles primarily associate with B cells and present key questions for future studies pertaining to this interaction.
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.
Extracellular Vesicles and B Cell Interactions: B-Side Track or Greatest Hit? · full record | OpenQuestion