Evidence map›Paper›PMID 42786310›Full record

ArticleNature aging2026

Multi-modality profiling identifies Neisseria flavescens as a central geroprotective oral commensal in humans.

Jiawei Chen, Ya Ren, Yong Zhou, Ziyang Wang, Jiyang Li, Xiaoxiao Guo, Hao Xu, Yiyang Wang, Huiru Tang, Jing-Dong J Han

Abstract read
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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. 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.

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

10 authors.

Jiawei Chen *Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, China.ORCID http://orcid.org/0000-0002-4584-4712
Ya Ren *Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, China.
Yong Zhou *Clinical Research Institute, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ziyang Wang *Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, China.
Jiyang LiCAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.
Xiaoxiao GuoPeking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, China.
Hao XuPeking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, China.
Yiyang WangPeking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, China.
Huiru TangState Key Laboratory of Genetic Engineering, Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China.ORCID http://orcid.org/0000-0002-7139-2756
Jing-Dong J HanPeking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, China. jackie.han@pku.edu.cn.ORCID http://orcid.org/0000-0002-9270-7139

Funding

China Postdoctoral Science Foundation GZC20230084Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2024YFF0729200Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2025YFA1805300Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2025YFC3409300National Natural Science Foundation of China (National Science Foundation of China) 32330017National Natural Science Foundation of China (National Science Foundation of China) 82361148130Natural Science Foundation of Beijing Municipality (Beijing Natural Science Foundation) L2604004
6 · The paper itself

Abstract

Aging is accompanied by progressive physiological decline, yet the microbiome determinants that modulate aging remain unclear. Here, we identify Neisseria flavescens (Nf) as an oral commensal associated with decelerated aging in humans. Using AURORA, a generative multi-modality framework, we developed multi-modality aging clocks, performed in silico screening for age-gap-reducing interventions and predicted Nf as a top hit. In silico perturbations linked increased Nf abundance to favorable physiological signatures, beneficial gut taxa and biosynthesis of beneficial metabolites. We isolated two Nf strains and validated their production of beneficial metabolites. Functional assays demonstrated that live Nf extended lifespan and healthspan in Caenorhabditis elegans. In aged mice, heat-killed Nf supplementation restored the serum metabolome, liver transcriptome and gut microbiome toward younger states. By establishing an AI-driven intervention discovery engine and identifying Nf as a geroprotective microorganism, these findings highlight the oral microbiome as an underestimated axis of systemic aging and a candidate for geroprotective interventions.

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Registered trials

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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.