Evidence map›Paper›PMID 38307980›Full record

ArticleNature protocols2024

Comprehensive multiscale analysis of lactate metabolic dynamics in vitro and in vivo using highly responsive biosensors.

Aoxue Wang, Yejun Zou, Shuning Liu, Xiuze Zhang, Ting Li, Lijuan Zhang, Ruwen Wang, Yale Xia, Xie Li, Zhuo Zhang and 6 more

Abstract read
In one paragraph

Article in Nature protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
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  5. Article
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  10. Article
  11. Review
  12. Energy metabolism in health and diseases.Signal transduction and targeted therapy · 2025
    Review
  13. Lactate and lactylation in cancer.Signal transduction and targeted therapy · 2025
    Review
  14. PKM2 controls cochlear development through lactate-dependent transcriptional regulation.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  15. Review
  16. 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

16 authors.

Aoxue Wang *Optogenetics & Synthetic Biology Interdisciplinary Research Center, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, State Key Laboratory of Bioreactor Engineering, School of Pharmacy, East China University of Science and Technology, Shanghai, China.
Yejun Zou *Optogenetics & Synthetic Biology Interdisciplinary Research Center, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, State Key Laboratory of Bioreactor Engineering, School of Pharmacy, East China University of Science and Technology, Shanghai, China.
Shuning Liu *Optogenetics & Synthetic Biology Interdisciplinary Research Center, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, State Key Laboratory of Bioreactor Engineering, School of Pharmacy, East China University of Science and Technology, Shanghai, China.
Xiuze Zhang *Optogenetics & Synthetic Biology Interdisciplinary Research Center, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, State Key Laboratory of Bioreactor Engineering, School of Pharmacy, East China University of Science and Technology, Shanghai, China.
Ting LiOptogenetics & Synthetic Biology Interdisciplinary Research Center, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, State Key Laboratory of Bioreactor Engineering, School of Pharmacy, East China University of Science and Technology, Shanghai, China. tingli@ecust.edu.cn.ORCID 0000-0002-8503-5856
Lijuan ZhangOptogenetics & Synthetic Biology Interdisciplinary Research Center, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, State Key Laboratory of Bioreactor Engineering, School of Pharmacy, East China University of Science and Technology, Shanghai, China.
Ruwen WangSchool of Exercise and Health, Shanghai University of Sport, Shanghai, China.
Yale XiaOptogenetics & Synthetic Biology Interdisciplinary Research Center, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, State Key Laboratory of Bioreactor Engineering, School of Pharmacy, East China University of Science and Technology, Shanghai, China.
Xie LiOptogenetics & Synthetic Biology Interdisciplinary Research Center, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, State Key Laboratory of Bioreactor Engineering, School of Pharmacy, East China University of Science and Technology, Shanghai, China.
Zhuo ZhangOptogenetics & Synthetic Biology Interdisciplinary Research Center, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, State Key Laboratory of Bioreactor Engineering, School of Pharmacy, East China University of Science and Technology, Shanghai, China.
Tiemin LiuState Key Laboratory of Genetic Engineering, Department of Endocrinology and Metabolism, Institute of Metabolism and Integrative Biology, Human Phenome Institute, School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai, China.
Zhenyu JuKey Laboratory of Regenerative Medicine of Ministry of Education, Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Institute of Aging and Regenerative Medicine, Jinan University, Guangzhou, China.
Ru WangSchool of Exercise and Health, Shanghai University of Sport, Shanghai, China. wangru@sus.edu.cn.
Joseph LoscalzoDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Yi YangOptogenetics & Synthetic Biology Interdisciplinary Research Center, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, State Key Laboratory of Bioreactor Engineering, School of Pharmacy, East China University of Science and Technology, Shanghai, China. yiyang@ecust.edu.cn.ORCID 0000-0001-7896-1184
Yuzheng ZhaoOptogenetics & Synthetic Biology Interdisciplinary Research Center, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, State Key Laboratory of Bioreactor Engineering, School of Pharmacy, East China University of Science and Technology, Shanghai, China. yuzhengzhao@ecust.edu.cn.ORCID 0000-0001-5400-0135

Funding

L-2-Hydroxyglutarate and Metabolic Remodeling in HypoxiaR01HL155107 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Joseph Loscalzo · 2021 to 2026
$4.1M
Branched-chain Keto-acids and Aerobic Glycolysis in Vascular Smooth Muscle CellsR01HL166137 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI Joseph Loscalzo · 2023 to 2026
$2.8M
Personalized protein-protein interactomes and precision medicine in pulmonary arterial hypertensionR01HL155096 · NHLBI · UNIVERSITY OF MARYLAND BALTIMORE · PI MARON, BRADLEY · 2021 to 2024
$1.6M
American Heart Association-American Stroke Association 957729NHLBI NIH HHS R01 HL155096NHLBI NIH HHS R01 HL155107NHLBI NIH HHS R01 HL166137
6 · The paper itself

Abstract

As a key glycolytic metabolite, lactate has a central role in diverse physiological and pathological processes. However, comprehensive multiscale analysis of lactate metabolic dynamics in vitro and in vivo has remained an unsolved problem until now owing to the lack of a high-performance tool. We recently developed a series of genetically encoded fluorescent sensors for lactate, named FiLa, which illuminate lactate metabolism in cells, subcellular organelles, animals, and human serum and urine. In this protocol, we first describe the FiLa sensor-based strategies for real-time subcellular bioenergetic flux analysis by profiling the lactate metabolic response to different nutritional and pharmacological conditions, which provides a systematic-level view of cellular metabolic function at the subcellular scale for the first time. We also report detailed procedures for imaging lactate dynamics in live mice through a cell microcapsule system or recombinant adeno-associated virus and for the rapid and simple assay of lactate in human body fluids. This comprehensive multiscale metabolic analysis strategy may also be applied to other metabolite biosensors using various analytic platforms, further expanding its usability. The protocol is suited for users with expertise in biochemistry, molecular biology and cell biology. Typically, the preparation of FiLa-expressing cells or mice takes 2 days to 4 weeks, and live-cell and in vivo imaging can be performed within 1-2 hours. For the FiLa-based assay of body fluids, the whole measuring procedure generally takes ~1 min for one sample in a manual assay or ~3 min for 96 samples in an automatic microplate assay.

Indexed as

Biosensing TechniquesLactic AcidAnimalsHumansMiceLactic Acid

Identifiers

PMID38307980
PMCPMC12812421

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.