Evidence map›Paper›PMID 42212097›Full record

ArticleJACS Au2026

Decoding the Spatiotemporal Logic of Cellular Senescence through Multimodal Exosomal miRNA Integration.

Haonan Chang, Yunfeng Feng, Bing Zhang, Yadong Xue, Jianwei Jiao, Yuna Guo

Abstract read
In one paragraph

Article in JACS Au, 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

6 authors.

Haonan ChangMedical Science and Technology Innovation Center, Shandong First Medical University, Jinan 250117, China.
Yunfeng FengInstitute of Pharmaceutical Research, Shandong First Medical University, Jinan 250117, China.
Bing ZhangMedical Science and Technology Innovation Center, Shandong First Medical University, Jinan 250117, China.
Yadong XueAffiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua 321000, China.ORCID https://orcid.org/0000-0002-7254-2939
Jianwei JiaoState Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
Yuna GuoMedical Science and Technology Innovation Center, Shandong First Medical University, Jinan 250117, China.ORCID https://orcid.org/0009-0006-7828-0884

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have developed a multimodal biosensing platform for the in situ monitoring of exosomal RNAs without cell lysis. This system employs a cascade of aptamer recognition, rolling circle amplification (RCA), and G-quadruplex/hemin signal transduction. Electrochemical and colorimetric outputs are seamlessly integrated using an inverse-variance-weighted data fusion algorithm, achieving ultrasensitive and precise detection. Applying this method to oxidative stress-induced cellular senescence, we successfully constructed a comprehensive RNA dynamic map. This analysis revealed time-resolved molecular logic: miRNA-21 displayed transient early upregulation as an adaptive response, while miRNA-29c and miRNA-34a accumulated progressively at later stages, driving irreversible senescence. Clinical validation further demonstrated the platform's efficacy in staging Alzheimer's disease (AD), where the integrated trimodal signals effectively distinguished between mild cognitive impairment (MCI) and progressive AD stages. Detailed statistical analysis identified exosomal miRNA-21 and miRNA-34a as significant independent risk factors, establishing a robust molecular signature for precision AD diagnostics. This work establishes an amplified, multimodal biosensing framework for profiling exosomal RNA communication during aging, offering a powerful tool for stage-resolved biomolecular mapping in precision geroscience.

Indexed as

cellular senescenceexosomal RNAsmultimodal biosensingRNA dynamic maprolling circle amplification (RCA)situ monitoring

Identifiers

PMID42212097
PMCPMC13213485

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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.