Evidence map›Paper›PMID 37090674›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Multiscale integration of human and single-cell variations reveals unadjuvanted vaccine high responders are naturally adjuvanted.

Matthew P Mulè, Andrew J Martins, Foo Cheung, Rohit Farmer, Brian Sellers, Juan A Quiel, Arjun Jain, Yuri Kotliarov, Neha Bansal, Jinguo Chen and 2 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

12 authors at 2 institutions in 3 countries.

Matthew P MulèMultiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA.
Andrew J MartinsMultiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA.
Foo CheungNIH Center for Human Immunology, NIAID, NIH, Bethesda, MD, USA.
Rohit FarmerNIH Center for Human Immunology, NIAID, NIH, Bethesda, MD, USA.
Brian SellersNIH Center for Human Immunology, NIAID, NIH, Bethesda, MD, USA.
Juan A QuielNIH Center for Human Immunology, NIAID, NIH, Bethesda, MD, USA.
Arjun JainMultiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA.
Yuri KotliarovNIH Center for Human Immunology, NIAID, NIH, Bethesda, MD, USA.
Neha BansalMultiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA.
Jinguo ChenNIH Center for Human Immunology, NIAID, NIH, Bethesda, MD, USA.
Pamela L SchwartzbergNational Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
John S TsangMultiscale Systems Biology Section, Laboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA.
National Institutes of Health · USUniversity of Cambridge · GB

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM008719 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI DARVILLE, TONI, DESHMUKH, MOHANISH P · 1999 to 2023
$15.1M
NIGMS NIH HHS T32 GM008719
6 · The paper itself

Abstract

Advances in multimodal single cell analysis can empower high-resolution dissection of human vaccination responses. The resulting data capture multiple layers of biological variations, including molecular and cellular states, vaccine formulations, inter- and intra-subject differences, and responses unfolding over time. Transforming such data into biological insight remains a major challenge. Here we present a systematic framework applied to multimodal single cell data obtained before and after influenza vaccination without adjuvants or pandemic H5N1 vaccination with the AS03 adjuvant. Our approach pinpoints responses shared across or unique to specific cell types and identifies adjuvant specific signatures, including pro-survival transcriptional states in B lymphocytes that emerged one day after vaccination. We also reveal that high antibody responders to the unadjuvanted vaccine have a distinct baseline involving a rewired network of cell type specific transcriptional states. Remarkably, the status of certain innate immune cells in this network in high responders of the unadjuvanted vaccine appear "naturally adjuvanted": they resemble phenotypes induced early in the same cells only by vaccination with AS03. Furthermore, these cell subsets have elevated frequency in the blood at baseline and increased cell-intrinsic phospho-signaling responses after LPS stimulation

Identifiers

PMID37090674
PMCPMC10120791
OpenAlexW4327914803

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.