Evidence map›Paper›PMID 42174266›Full record

ReviewNature immunology2026

Immune development in early life.

Paolo Palma, Donna L Farber, Liza Konnikova, Ofer Levy

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

4 authors.

Paolo PalmaCentre for the Evaluation of Vaccination and Vaccine & Infectious Disease Institute at Vaccinopolis, University of Antwerp, Antwerp, Belgium. paolo.palma@uniroma2.it.
Donna L FarberDepartment of Microbiology and Immunology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA.ORCID http://orcid.org/0000-0001-8236-9183
Liza KonnikovaDepartments of Pediatrics, Immunobiology and Obstetrics, Gynecology and Reproductive Sciences, Yale School of Medicine, New Haven, CT, USA.ORCID http://orcid.org/0000-0003-4804-5497
Ofer LevyPrecision Vaccines Program, Department of Pediatrics Boston Children's Hospital, Boston, MA, USA. ofer.levy@childrens.harvard.edu.ORCID http://orcid.org/0000-0002-5859-1945

Funding

U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID) 1U19AI168643
6 · The paper itself

Abstract

The perinatal period of immune ontogeny reflects prenatal, maternal and postnatal cues that converge to establish durable immune trajectories. Fetal and infant immunity follows distinct, ontogeny-specific programs optimized for tissue protection, tolerance and rapid effector function. Herein, we integrate recent insights into prenatal hematopoiesis, tissue seeding by innate and adaptive lymphocytes, and the establishment of immune specialization across barriers and systemic compartments. We examine how cellular and humoral factors in blood, tissues and/or breast milk calibrate immune development, and how postnatal microbial colonization and environmental exposures further refine immune function in a tissue- and time-dependent manner. Together, these findings redefine early life as a critical window during which immune set points are established, with lasting immunological imprinting linked to host defense, vaccine responsiveness and risk for atopy. A mechanistic understanding of these processes provides a framework for rational, age-adapted strategies to promote immune health across the life course.

Indexed as

Immune SystemAdaptive ImmunityAnimalsFemaleHematopoiesisHumansImmunity, InnatePregnancy

Identifiers

PMID42174266

What OpenQuestion 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 OpenQuestion graph.