Evidence map›Paper›PMID 40683246›Full record

ArticleCell reports methods2025

High-throughput measurement of Drosophila feeding behavior.

Huai-Zheng Zheng, Shuo Song, Jing-Hao Tang, Hong-Shan Liu, Man Song, Zhen-Xia Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell reports methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Huai-Zheng ZhengHubei Hongshan Laboratory, Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Hubei Key Laboratory of Agricultural Bioinformatics, College of Life Science and Technology, College of Biomedicine and Health, Interdisciplinary Sciences Institute, Huazhong Agricultural University, Wuhan 430070, P.R. China.
Shuo SongHubei Hongshan Laboratory, Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Hubei Key Laboratory of Agricultural Bioinformatics, College of Life Science and Technology, College of Biomedicine and Health, Interdisciplinary Sciences Institute, Huazhong Agricultural University, Wuhan 430070, P.R. China.
Jing-Hao TangHubei Hongshan Laboratory, Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Hubei Key Laboratory of Agricultural Bioinformatics, College of Life Science and Technology, College of Biomedicine and Health, Interdisciplinary Sciences Institute, Huazhong Agricultural University, Wuhan 430070, P.R. China.
Hong-Shan LiuHubei Hongshan Laboratory, Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Hubei Key Laboratory of Agricultural Bioinformatics, College of Life Science and Technology, College of Biomedicine and Health, Interdisciplinary Sciences Institute, Huazhong Agricultural University, Wuhan 430070, P.R. China.
Man SongHubei Hongshan Laboratory, Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Hubei Key Laboratory of Agricultural Bioinformatics, College of Life Science and Technology, College of Biomedicine and Health, Interdisciplinary Sciences Institute, Huazhong Agricultural University, Wuhan 430070, P.R. China.
Zhen-Xia ChenHubei Hongshan Laboratory, Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Hubei Key Laboratory of Agricultural Bioinformatics, College of Life Science and Technology, College of Biomedicine and Health, Interdisciplinary Sciences Institute, Huazhong Agricultural University, Wuhan 430070, P.R. China. Electronic address: zhen-xia.chen@mail.hzau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate measurement of Drosophila feeding is vital for metabolic and aging studies, but current assays lack the throughput and sensitivity needed for large-scale screens. We introduce FlyPlate-BCA, a 96-well platform that combines automated single-fly tracking with BCA protein quantification for high-resolution, longitudinal intake measurements. FlyPlate-BCA detects a 0.1× nutrient dilution with 90% power using just four replicates, three times fewer than the capillary feeder (CAFE) assay. It uncovers sucrose-driven hyperphagia independent of osmotic stress and preserved lipid-satiety responses, while extended monitoring reveals a female-specific metabolic adaptation. By delivering individual-level data at scale, FlyPlate-BCA establishes a benchmark for nutritional genomics and appetite neurobiology and streamlines nutraceutical and genetic screening.

Indexed as

DrosophilaDrosophila melanogasterFeeding BehaviorHigh-Throughput Screening AssaysAnimalsFemaleMaleSucroseSucroseCP: MetabolismDrosophila feedingFlyPlate-BCAhigh-throughput screeningsex-specific intakesucrose hyperphagia

Identifiers

PMID40683246
PMCPMC12461584

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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.