Evidence mapPaperPMID 41731121Full record

ArticleNature aging2026

Attenuating age-related decline in dendritic cell migration improves vaccine efficacy via gut-immune crosstalk.

Huaxing Dai, Rong Sun, Bowen Xie, Fang Xu, Xiaoyu Yu, Chenhui Weng, Chenlu Yao, Heng Wang, Bingbing Wu, Jialu Xu and 6 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature aging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. What Do We Know About Immune System Aging from Human and Animal Studies?International journal of molecular sciences · 2026
    Review
  2. 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

16 authors.

Huaxing DaiLaboratory for Biomaterial and Immunoengineering, Institute of Functional Nano & Soft Materials (FUNSOM), Soochow University, Suzhou, China.
Rong SunLaboratory for Biomaterial and Immunoengineering, Institute of Functional Nano & Soft Materials (FUNSOM), Soochow University, Suzhou, China.
Bowen XieInstitute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, China.
Fang XuLaboratory for Biomaterial and Immunoengineering, Institute of Functional Nano & Soft Materials (FUNSOM), Soochow University, Suzhou, China.
Xiaoyu YuLaboratory for Biomaterial and Immunoengineering, Institute of Functional Nano & Soft Materials (FUNSOM), Soochow University, Suzhou, China.
Chenhui WengLaboratory for Biomaterial and Immunoengineering, Institute of Functional Nano & Soft Materials (FUNSOM), Soochow University, Suzhou, China.
Chenlu YaoLaboratory for Biomaterial and Immunoengineering, Institute of Functional Nano & Soft Materials (FUNSOM), Soochow University, Suzhou, China.
Heng WangLaboratory for Biomaterial and Immunoengineering, Institute of Functional Nano & Soft Materials (FUNSOM), Soochow University, Suzhou, China.
Bingbing WuLaboratory for Biomaterial and Immunoengineering, Institute of Functional Nano & Soft Materials (FUNSOM), Soochow University, Suzhou, China.
Jialu XuLaboratory for Biomaterial and Immunoengineering, Institute of Functional Nano & Soft Materials (FUNSOM), Soochow University, Suzhou, China.
Yue ZhangLaboratory for Biomaterial and Immunoengineering, Institute of Functional Nano & Soft Materials (FUNSOM), Soochow University, Suzhou, China.
Bo TianLaboratory for Biomaterial and Immunoengineering, Institute of Functional Nano & Soft Materials (FUNSOM), Soochow University, Suzhou, China.
Xiaolin ShiMedical College of Soochow University, Suzhou, China.
Yumin WuLaboratory for Biomaterial and Immunoengineering, Institute of Functional Nano & Soft Materials (FUNSOM), Soochow University, Suzhou, China. ymwu@suda.edu.cn.ORCID http://orcid.org/0000-0003-0917-9919
Ye LiuInstitute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming, China. liuye@imbcams.com.cn.ORCID http://orcid.org/0000-0001-5581-9046
Chao WangLaboratory for Biomaterial and Immunoengineering, Institute of Functional Nano & Soft Materials (FUNSOM), Soochow University, Suzhou, China. cwang@suda.edu.cn.ORCID http://orcid.org/0000-0002-8054-3472

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32371476National Natural Science Foundation of China (National Science Foundation of China) T2321005National Natural Science Foundation of China (National Science Foundation of China) U25A20599
6 · The paper itself

Abstract

Aging impairs immune function and reduces vaccine efficacy, but whether dendritic cells (DCs), which play a central role in initiating immune responses via antigen presentation, contribute to this decline remains unclear. Through single-cell RNA sequencing analysis of lymph node changes upon vaccination in young versus aged mice, here we identify defects in DC migration during aging, alongside a dysfunction-associated gene signature in migratory DCs, and implicate these defects in the diminished vaccine response observed in aging. Furthermore, we demonstrate that oral delivery of yeast-derived nanoparticles elevates expression of the chemokine receptor CCR7 in gut dendritic cells, facilitates their trafficking to lymph nodes in response to chemotactic signals after immunization, and thus enhances vaccine-induced immunity in aged animals. These findings reveal a key mechanism of immune decline in aging and offer a noninvasive strategy to improve dendritic cell function and vaccine efficacy in aging.

Indexed as

AgingCell MovementDendritic CellsVaccine EfficacyAnimalsLymph NodesMiceMice, Inbred C57BLNanoparticlesReceptors, CCR7VaccinationCcr7 protein, mouseReceptors, CCR7

Identifiers

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.