Article in Development (Cambridge, England), 2026. 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.
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
18 authors.
Nikola MakdissiDevelopmental Biology of the Immune System, Life & Medical Sciences (LIMES) Institute, University of Bonn, 53115 Bonn, Germany.ORCID 0000-0002-9345-038X
Daria J HirschmannDevelopmental Biology of the Immune System, Life & Medical Sciences (LIMES) Institute, University of Bonn, 53115 Bonn, Germany.ORCID 0009-0008-4538-4817
Aleksej FrolovImmunogenomics & Neurodegeneration, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), 53127 Bonn, Germany.ORCID 0000-0002-4406-1206
Inaam SadoDevelopmental Biology of the Immune System, Life & Medical Sciences (LIMES) Institute, University of Bonn, 53115 Bonn, Germany.
Bastian BennührDepartment of Bioinformatics and Biochemistry, Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, 38106 Braunschweig, Germany.
Fabian NikolkaDepartment of Bioinformatics and Biochemistry, Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, 38106 Braunschweig, Germany.
Jingyuan ChengInstitute of Innate Immunity, Department of Systems Immunology and Proteomics, Medical Faculty, University of Bonn, 53127 Bonn, Germany.
Nelli Blank-SteinDevelopmental Biology of the Immune System, Life & Medical Sciences (LIMES) Institute, University of Bonn, 53115 Bonn, Germany.
Maria Francesca ViolaDevelopmental Biology of the Immune System, Life & Medical Sciences (LIMES) Institute, University of Bonn, 53115 Bonn, Germany.ORCID 0000-0003-0660-9506
Mohamed YaghmourBiochemistry & Cell Biology of Lipids, Life & Medical Sciences (LIMES) Institute, University of Bonn, 53115 Bonn, Germany.
Philipp ArnoldInstitute of Functional and Clinical Anatomy, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91054 Erlangen, Germany.ORCID 0000-0003-3273-9865
Lorenzo BonaguroSystems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), 53127 Bonn, Germany.ORCID 0000-0001-9675-7208
Matthias BeckerSystems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), 53127 Bonn, Germany.ORCID 0000-0002-7120-4508
Christoph ThieleBiochemistry & Cell Biology of Lipids, Life & Medical Sciences (LIMES) Institute, University of Bonn, 53115 Bonn, Germany.ORCID 0000-0001-5161-2558
Felix MeissnerInstitute of Innate Immunity, Department of Systems Immunology and Proteomics, Medical Faculty, University of Bonn, 53127 Bonn, Germany.
Karsten HillerDepartment of Bioinformatics and Biochemistry, Braunschweig Integrated Centre of Systems Biology (BRICS), Technische Universität Braunschweig, 38106 Braunschweig, Germany.
Marc D BeyerImmunogenomics & Neurodegeneration, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), 53127 Bonn, Germany.ORCID 0000-0001-9704-148X
Elvira MassDevelopmental Biology of the Immune System, Life & Medical Sciences (LIMES) Institute, University of Bonn, 53115 Bonn, Germany.ORCID 0000-0003-2318-2356
Funding
National Metabolomics Data Repository - nextgen Metabolomics WorkbenchU2CDK119886 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUBRAMANIAM, SHANKAR · 2018 to 2021
$12.7M
Biomedical Data Commons Workbench (BDCW)OT2OD030544 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUBRAMANIAM, SHANKAR · 2020 to 2024
$3.2M
Web Portal CoreU2CDK119889 · NIDDK · UNIVERSITY OF FLORIDA · PI CONLON, MICHAEL, GARRETT, TIMOTHY J · 2018 to 2021
$1.9M
Deutsche Forschungsgemeinschaft 272482170Deutsche Forschungsgemeinschaft 432325352Deutsche Forschungsgemeinschaft 432325352 - SFB 1454Deutsche Forschungsgemeinschaft 503306912Deutsche Forschungsgemeinschaft 533863915Deutsche Forschungsgemeinschaft EXC2151-390873048Deutsche Forschungsgemeinschaft GRK1873/2EMBO 873-2023European Research Council 101163024European Research Council 851257H2020 European Research Council 101163024H2020 European Research Council 851257NIDDK NIH HHS U2C DK119886NIDDK NIH HHS U2C DK119889NIH HHS OT2 OD030544University of Bonn
6 · The paper itself
Abstract
During perinatal development, liver metabolism is tightly regulated to ensure energy supply for the newborn. Before birth, glycogen is stored in hepatocytes and later metabolized to glucose, meeting neonatal energy demands. Shortly after birth, lipogenesis begins, driven by transcriptional activation of enzymes involved in fatty acid oxidation. These processes are thought to be largely regulated by systemic insulin and glucagon levels. However, the role of liver-derived local factors in neonatal hepatocyte metabolism remains unexplored. Kupffer cells (KCs), the liver's resident macrophages, colonize the fetal liver early in embryogenesis and support liver metabolism in adulthood. Yet whether KCs influence neonatal hepatocyte metabolism is unknown. Using conditional knockout mouse models targeting macrophages, we demonstrate that yolk sac-derived KCs play a crucial role in hepatocyte glycogen storage and function by regulating the tricarboxylic acid cycle, a role monocyte-derived KC-like cells cannot substitute. Newborn pups lacking yolk sac-derived KCs mobilize glycogen more rapidly, a process in part regulated by insulin-like growth factor 1 (Igf1) production. Our findings identify KCs as major source of Igf1, with local production essential for balanced hepatocyte metabolism at birth.
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.
Kupffer cells control neonatal hepatic metabolism via Igf1 signaling. · full record | Socratic