Evidence map›Paper›PMID 41683708›Full record

ReviewInternational journal of molecular sciences2026

The Role of Crosstalk Between the Unfolded Protein Response and Autophagy in Diseases Associated with Sympathetic Nervous System Imbalance: Mechanisms and Therapeutic Perspectives.

Bo Xu, Yi Yang, Renjun Wang

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 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

3 authors.

Bo XuDepartment of Biotechnology, School of Life Science, Jilin Normal University, Siping 136000, China.
Yi YangDepartment of Biotechnology, School of Life Science, Jilin Normal University, Siping 136000, China.ORCID 0000-0003-2685-2722
Renjun WangDepartment of Biotechnology, School of Life Science, Jilin Normal University, Siping 136000, China.ORCID 0000-0003-0058-6219

Funding

Development of Science and Technology of Jilin Province 20220101322JC
6 · The paper itself

Abstract

Sympathetic nervous system (SNS) imbalance is a common pathological basis for cardiovascular diseases, non-alcoholic fatty liver disease, and diabetes. This review focuses on these diseases, analyzing two core mechanisms: excessive sympathetic excitation induced by endoplasmic reticulum stress (ERS) or autophagy dysfunction in key central nuclei (e.g., hypothalamus, rostral ventrolateral medulla); and ERS/autophagy abnormalities in peripheral target organs caused by chronic SNS overactivation. Existing studies confirm that chronic SNS overactivation promotes peripheral metabolic overload via sustained catecholamine release, inducing persistent ERS and disrupting the protective unfolded protein response (UPR)-autophagy network, ultimately leading to cell apoptosis, inflammation, and fibrosis. Notably, central ERS or autophagy dysfunction further perturbs autonomic homeostasis, exacerbating sympathetic overexcitation. This review systematically elaborates on SNS overactivation as a critical bridge mediating UPR-autophagy network dysregulation in central and peripheral tissues, and explores therapeutic prospects of targeting key nodes (e.g., chemical chaperones, specific UPR modulators, nanomedicine), providing a theoretical basis for basic research and clinical translation.

Indexed as

AutophagyCardiovascular DiseasesSympathetic Nervous SystemUnfolded Protein ResponseAnimalsEndoplasmic Reticulum StressHumansautophagyendoplasmic reticulum stressmetabolic diseasessympathetic nervous system imbalanceunfolded protein response

Identifiers

PMID41683708
PMCPMC12897639

What OpenQuestion holds

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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.