Evidence map›Paper›PMID 40454774›Full record

ReviewJournal of neurochemistry2025

Neural Metabolic Networks: Key Elements of Healthy Brain Function.

Nimrod Madrer, Nirma D Perera, Nonthué A Uccelli, Alice Abbondanza, Jens V Andersen, Emma Veronica Carsana, Matthew D Demmings, Regina F Fernandez, Matheus Garcia de Fragas, Ismail Gbadamosi and 11 more

Abstract readReview
In one paragraph

Review in Journal of neurochemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
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  4. Article
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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

21 authors.

Nimrod MadrerThe Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.ORCID https://orcid.org/0000-0002-8467-5085
Nirma D PereraFlorey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Victoria, Australia.
Nonthué A UccelliDepartment of Neurology and Neurosurgery, McGill University, Montreal, Quebec, Canada.
Alice AbbondanzaLaboratory of Neurochemistry, Institute of Physiology of the Czech Academy of Sciences, Prague, Czech Republic.
Jens V AndersenDepartment of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark.ORCID https://orcid.org/0000-0001-8767-2675
Emma Veronica CarsanaUniversità Degli Studi di Milano, Milan, Italy.
Matthew D DemmingsSchulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, Canada.
Regina F FernandezThe Michael V. Johnston Center for Developmental Neuroscience, Kennedy Krieger Institute, Baltimore, Maryland, USA.
Matheus Garcia de FragasDepartment of Immunology, Instituto de Ciências Biomédicas (ICB IV), Universidade de São Paulo, São Paulo, SP, Brazil.
Ismail GbadamosiLaboratory for Translational Research in Neuropsychiatric Disorders (TREND), BRAINCITY-Center of Excellence for Neural Plasticity and Brain Disorders, Institute of Experimental Biology Marceli Nencki. Polish Academy of Sciences, Warsaw, Poland.
Divita KulshresthaDepartment of Biology, Technische Universität Dresden, Dresden, Germany.
Ricardo A S Lima-FilhoInstitute of Medical Biochemistry Leopoldo De Meis, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Oana C MarianCharles Perkins Centre, School of Medical Sciences, The University of Sydney, Camperdown, New South Wales, Australia.
Kia H MarkussenDeparment of Molecular and Cellular Biochemistry, College of Medicine, University of Kentuchy, Lexington, Kentuchy, USA.ORCID https://orcid.org/0000-0001-9446-0400
Andrew J McGovernDepartment of Biological Sciences, University of Limerick, Limerick, Ireland.
Elliott S NealSchool of Biomedical Sciences, The University of Queensland, St Lucia, Queensland, Australia.
Sukanya SarkarDepartment of Cell Biology and Physiology, CSIR-Indian Institute of Chemical Biology, Kolkata, India.
Eva ŠimončičováDivision of Medical Sciences, University of Victoria, Victoria, British Columbia, Canada.
Jazmín Soto-VerdugoDepartment of Anatomy and Neurobiology, Virginia Commonwealth University School of Medicine, Richmond, Virginia, USA.
Sozerko YandievUniv. Lyon, Université Claude Bernard Lyon 1, CNRS, INSERM, Physiopathologie et Génétique du Neurone et du Muscle, UMR5261, U1315, Institut NeuroMyoGène, Lyon, France.
Ignacio Fernández-MoncadaUniv. Bordeaux, INSERM, Neurocentre Magendie, U1215, F-33000 Bordeaux, France.ORCID https://orcid.org/0000-0002-8733-0031

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neural networks are responsible for processing sensory stimuli and driving the synaptic activity required for brain function and behavior. This computational capacity is expensive and requires a steady supply of energy and building blocks to operate. Importantly, the neural networks are composed of different cell populations, whose metabolic profiles differ between each other, thus endowing them with different metabolic capacities, such as, for example, the ability to synthesize specific metabolic precursors or variable proficiency to manage their metabolic waste. These marked differences likely prompted the emergence of diverse intercellular metabolic interactions, in which the shuttling and cycling of specific metabolites between brain cells allows the separation of workload and efficient control of energy demand and supply within the central nervous system. Nevertheless, our knowledge about brain bioenergetics and the specific metabolic adaptations of neural cells still warrants further studies. In this review, originated from the Fourth International Society for Neurochemistry (ISN) and Journal of Neurochemistry (JNC) Flagship School held in Schmerlenbach, Germany (2022), we describe and discuss the specific metabolic profiles of brain cells, the intercellular metabolic exchanges between these cells, and how these bioenergetic activities shape synaptic function and behavior. Furthermore, we discuss the potential role of faulty brain metabolic activity in the etiology and progression of Alzheimer's disease, Parkinson disease, and Amyotrophic lateral sclerosis. We foresee that a deeper understanding of neural networks metabolism will provide crucial insights into how higher-order brain functions emerge and reveal the roots of neuropathological conditions whose hallmarks include impaired brain metabolic function.

Indexed as

BrainEnergy MetabolismMetabolic Networks and PathwaysNerve NetNeuronsAnimalsHumansastrocytesglycolysislipidsmitochondrianeurodegenerationneurons

Identifiers

PMID40454774
PMCPMC12128790

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.