Evidence map›Paper›PMID 41184273›Full record

ArticleNPJ systems biology and applications2025

Flexible modulation of hybrid feedback loops in competitive biological oscillators.

Peng Zhao, Jian Liu, Tengfei Bao, Hong Huo, Ye Yuan, Tao Fang

Abstract read
In one paragraph

Article in NPJ systems biology and applications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Peng ZhaoDepartment of Automation, Shanghai Jiao Tong University, Shanghai, China.
Jian LiuInstitute of Machine Intelligence, University of Shanghai for Science and Technology, Shanghai, China.
Tengfei BaoDepartment of Automation, Shanghai Jiao Tong University, Shanghai, China.
Hong HuoDepartment of Automation, Shanghai Jiao Tong University, Shanghai, China.
Ye YuanInstitute of Machine Intelligence, University of Shanghai for Science and Technology, Shanghai, China. yuanye_usst@usst.edu.cn.
Tao FangDepartment of Automation, Shanghai Jiao Tong University, Shanghai, China. tfang@sjtu.edu.cn.

Funding

Science and Technology Cooperation Program of Shanghai Jiao Tong in Inner Mongolia Autonomous Region, Action Plan of Shanghai Jiao Tong University for "Revitalizing Inner Mongolia through Science and Technology KJXM2024-02-07Young Scientists Fund of the National Natural Science Foundation of China 62206175
6 · The paper itself

Abstract

Biological oscillators control vital rhythmic processes, and their dysregulation is associated with disorders such as cancer, sleep disturbances, and motor deficits. These oscillators often exhibit competitive interactions through mutual inhibition, and their dynamics are regulated by feedback mechanisms: positive feedback enhances synchronization, while negative feedback ensures tunability. However, the role of hybrid (positive-plus-negative) feedback in modulating competitive biological oscillators remains poorly understood. Here, we analyse seven competitive oscillators and demonstrate that hybrid feedback induces two distinct modulation modes: higher-amplitude, lower-frequency oscillations or higher-frequency, lower-amplitude oscillations, depending on hybrid feedback strengths. Furthermore, we show that oscillation tunability hinges on the asymmetry between positive and negative feedback loops. These findings deepen our understanding of oscillation regulation and could guide therapeutic strategies for diseases related to rhythm disorders.

Indexed as

Biological ClocksFeedback, PhysiologicalModels, BiologicalAnimalsHumans

Identifiers

PMID41184273
PMCPMC12583529

What OpenQuestion holds

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LicenceCC BY
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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.