Evidence map›Paper›PMID 42918818›Full record

ArticleCell research2026

Sensory neuron-derived CGRP ameliorates kidney injury and fibrosis via monocytes and macrophages.

Lei Wang, Huaikang Li, Ji Feng, Jianwen Chen, Tongyu Jia, Tailai Zhou, Li Wang, Lu Tang, Xu Zhang, Xin Ma

Abstract read
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In one paragraph

Article in Cell research, 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.

Lei Wang *Senior Department of Urology, Chinese PLA General Hospital, Beijing, China. wale1207@163.com.ORCID http://orcid.org/0000-0003-0825-3494
Huaikang Li *Senior Department of Urology, Chinese PLA General Hospital, Beijing, China.
Ji Feng *Senior Department of Urology, Chinese PLA General Hospital, Beijing, China.ORCID http://orcid.org/0009-0009-1567-8344
Jianwen ChenSenior Department of Nephrology, Chinese PLA General Hospital, State Key Laboratory of Kidney Diseases, Beijing, China.
Tongyu JiaSenior Department of Urology, Chinese PLA General Hospital, Beijing, China.
Tailai ZhouSenior Department of Urology, Chinese PLA General Hospital, Beijing, China.
Li WangSenior Department of Urology, Chinese PLA General Hospital, Beijing, China.
Lu TangSenior Department of Urology, Chinese PLA General Hospital, Beijing, China.
Xu ZhangSenior Department of Urology, Chinese PLA General Hospital, Beijing, China. xzhang301@163.com.ORCID http://orcid.org/0000-0002-6908-6768
Xin MaSenior Department of Urology, Chinese PLA General Hospital, Beijing, China. mxin301@126.com.ORCID http://orcid.org/0000-0001-8257-4670

Funding

Capital Health Research and Development of Special 2024-1-5042National Natural Science Foundation of China (National Science Foundation of China) 82300867National Natural Science Foundation of China (National Science Foundation of China) 82573382Natural Science Foundation of Beijing Municipality (Beijing Natural Science Foundation) 7262152
6 · The paper itself

Abstract

Acute kidney injury (AKI) and its progression to chronic kidney disease (CKD) remain major unmet clinical challenges for which effective therapies are lacking. Although sensory neurons are recognized as key regulators of tissue injury and repair via neuroimmune crosstalk, their organization and function within the kidney are poorly understood. Here, we delineate a renal neuroimmune axis in which nociceptive neurons protect against ischemia-reperfusion (I/R)-induced kidney injury. Using whole-organ tissue clearing and three-dimensional imaging, we mapped an extensive network of nociceptive sensory fibers throughout the renal parenchyma. Ablation of TRPV1

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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.