Evidence map›Paper›PMID 42325561›Full record

ArticleiScience2026

Multimodal atlas of single neuron metabolic electrophysiological coupling uncovers circadian rewiring.

Man Yuan, Siyuan Ge, Wenwei Qian, Chenjian Miao, Wei Liang, Qi Chen, Hongying Zhu, Wei Xiong

Abstract read
In one paragraph

Article in iScience, 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

8 authors.

Man YuanDepartment of Neurology, The First Affiliated Hospital of USTC, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, State Key Laboratory of Eye Health, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China.
Siyuan GeDepartment of Neurology, The First Affiliated Hospital of USTC, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, State Key Laboratory of Eye Health, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China.
Wenwei QianDepartment of Neurology, The First Affiliated Hospital of USTC, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, State Key Laboratory of Eye Health, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China.
Chenjian MiaoDepartment of Neurology, The First Affiliated Hospital of USTC, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, State Key Laboratory of Eye Health, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China.
Wei LiangDepartment of Neurology, The First Affiliated Hospital of USTC, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, State Key Laboratory of Eye Health, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China.
Qi ChenDepartment of Neurology, The First Affiliated Hospital of USTC, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, State Key Laboratory of Eye Health, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China.
Hongying ZhuDepartment of Neurology, The First Affiliated Hospital of USTC, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, State Key Laboratory of Eye Health, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China.
Wei XiongDepartment of Neurology, The First Affiliated Hospital of USTC, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, State Key Laboratory of Eye Health, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuronal metabolism fundamentally modulates synaptic activity, yet how single-cell metabolic architecture aligns with electrophysiological diversity remains elusive. By integrating patch-clamp electrophysiology with single-neuron mass spectrometry (SNMS), we resolve metabolomic heterogeneity across suprachiasmatic nucleus (SCN) neurons, revealing six metabolic states with distinct synaptic dynamics, from lipid-enriched SCN1 exhibiting high-frequency presynaptic activity to quiescent SCN6. Pathway analysis linked metabolic state-specific signatures to sulfur metabolism, glutathione regulation, and citrate cycle dynamics. Machine learning and correlation networks mapped metabolites to functional parameters: histidine, carnitine, and creatinine regulated neuronal activity, validated by intracellular metabolite delivery experiments. Strikingly, light-dark cycles dynamically reconfigured most of the metabolite-postsynaptic current correlations, including light-induced taurine coupling to synaptic transmission. This multimodal platform establishes cellular metabolism as a tunable factor associated with neuronal heterogeneity and circadian plasticity, suggesting potential therapeutic avenues for circadian disorders.

Indexed as

cellular physiologymetabolomicsneuroscience

Identifiers

PMID42325561
PMCPMC13276300

What OpenQuestion holds

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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.