In one paragraphArticle in eLife, 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 itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
11 authors.
Xiaoyu Li *National Children's Medical Center, Children's Hospital, Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, Fudan SANS Neuroscience Center, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0001-5156-8518 Yuxin Li *National Children's Medical Center, Children's Hospital, Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, Fudan SANS Neuroscience Center, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0003-0143-1710 Yue Cao *National Children's Medical Center, Children's Hospital, Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, Fudan SANS Neuroscience Center, Fudan University, Shanghai, China.
Niewen HuNational Children's Medical Center, Children's Hospital, Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, Fudan SANS Neuroscience Center, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0001-9832-1360 Pei OuyangNational Children's Medical Center, Children's Hospital, Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, Fudan SANS Neuroscience Center, Fudan University, Shanghai, China.ORCID https://orcid.org/0009-0006-8740-6629 Yuxiao JinNational Children's Medical Center, Children's Hospital, Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, Fudan SANS Neuroscience Center, Fudan University, Shanghai, China.
Shuai GaoNational Children's Medical Center, Children's Hospital, Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, Fudan SANS Neuroscience Center, Fudan University, Shanghai, China.
Li CaoKey Laboratory of Molecular Neurobiology, Ministry of Education, Navy Military Medical University, Shanghai, China.
Bo PengNational Children's Medical Center, Children's Hospital, Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, Fudan SANS Neuroscience Center, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0003-4183-5939 Yanxia RaoNational Children's Medical Center, Children's Hospital, Institute for Translational Brain Research, State Key Laboratory of Medical Neurobiology, MOE Frontiers Center for Brain Science, Fudan SANS Neuroscience Center, Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0001-5292-2056 Funding
Brain Science and Brain-like Intelligence Technology-National Science and Technology Major Project 2022ZD0204700Brain Science and Brain-like Intelligence Technology-National Science and Technology Major Project 2022ZD0207200Changping Laboratory 2025B-07-18China Postdoctoral Science Foundation 2025M782569Lin Gang Laboratory LGL-8998-02National Natural Science Foundation of China 323B2030National Natural Science Foundation of China 32571128National Natural Science Foundation of China 325B2039National Natural Science Foundation of China 82621102Shanghai Pilot Program for Basic Research 21TQ014The Fellowship of China National Postdoctoral Program for Innovative Talents BX20250132
6 · The paper itselfAbstract
In situ glia-to-neuron conversion induced by a single transcription factor is a promising regenerative strategy for treating central nervous system injuries and neurodegenerative diseases. Previous studies reported that NeuroD1 can induce microglia-to-neuron cross-lineage conversion and improve recovery after brain injury. However, these findings remain controversial. To examine the ability of NeuroD1 in inducing microglia-to-neuron conversion, we employed virus-free genetic lineage-tracing systems in mice to specifically induce NeuroD1 expression in microglia and track the cell fate of NeuroD1-expressing cells at multiple timepoints. Meanwhile, we longitudinally monitored NeuroD1-expressing microglia via two-photon imaging and characterized their transcriptional profile by single-cell RNA sequencing. All observations across these methods revealed that NeuroD1-expressing cells retained their microglia identity and cannot convert into neurons, no matter under physiological and injury conditions. Instead, sustained expression of NeuroD1 facilitated microglia apoptosis in vivo. Collectively, our findings provide strong evidence that NeuroD1 alone is not sufficient to induce microglia-to-neuron conversion. This study further highlights the importance of rigorous lineage-tracing and cell fate-mapping strategies for validating in situ glia-to-neuron conversion.
Indexed as
Basic Helix-Loop-Helix ProteinsCellular ReprogrammingMicrogliaNeuronsAnimalsCell LineageMiceBasic Helix-Loop-Helix ProteinsNeurod1 protein, mouselineage tracingmicroglial reprogrammingmicroglia-to-neuron conversionmouseNeuroD1neuroscience
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