Article in Journal of neuroinflammation, 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
14 authors.
Na ZhangDepartment of Immunology, School of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, 430030, China.ORCID http://orcid.org/0000-0003-3939-0942
Fan YangDepartment of Immunology, School of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, 430030, China.ORCID http://orcid.org/0009-0000-4541-0474
Junyu ShiDepartment of Immunology, School of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, 430030, China.ORCID http://orcid.org/0000-0001-8803-3621
Xuhuan TangDepartment of Immunology, School of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, 430030, China.ORCID http://orcid.org/0000-0002-6338-4457
Anqi FanDepartment of Rheumatology and Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.ORCID http://orcid.org/0000-0002-6702-7860
Wenhua LiDepartment of Immunology, School of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, 430030, China.ORCID http://orcid.org/0000-0002-7900-9723
Feng ZhangDepartment of Immunology, School of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, 430030, China.ORCID http://orcid.org/0000-0002-0414-084X
Qun ChenDepartment of Immunology, School of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, 430030, China.ORCID http://orcid.org/0009-0000-0092-7656
Chenchen WangNational Demonstration Center for Experimental Basic Medical Education, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.ORCID http://orcid.org/0000-0001-8118-2237
Yong XuNational Demonstration Center for Experimental Basic Medical Education, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Feili GongDepartment of Immunology, School of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, 430030, China.
Yisheng LuDepartment of Physiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Fang ZhengDepartment of Immunology, School of Basic Medicine, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Huazhong University of Science and Technology, Wuhan, 430030, China. zhengfangtj@hust.edu.cn.ORCID http://orcid.org/0000-0002-0655-9652
Funding
the National Natural Science Foundation of China 31670876
6 · The paper itself
Abstract
Astrocytes are the primary source of high mobility group box-1 (HMGB1) which is intimately associated with aging and related disease in central nervous system (CNS). However, the multi-localization and multifunctional characteristics of HMGB1 indicate that it may regulate brain aging through various pathways and mechanisms which are not yet clearly defined. In this study, we find that the expression of HMGB1 decreases with aging in both human and mouse astrocytes. Conditional knockout of Hmgb1 in astrocytes induces the exacerbation of mice aging. Specifically, by establishing a nuclear HMGB1 depletion model and interfering extracellular HMGB1, we find that nuclear HMGB1 is anti-senescent whereas extracellular HMGB1 is pro-senescent. Inhibiting HMGB1 nuclear export to enhance its nuclear retention effectively alleviates astrocyte senescence. Together, promoting the nuclear retention of HMGB1 is a new strategy for attenuating brain aging and related disorders.
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.
Promoting the nuclear retention of HMGB1 attenuates astrocyte senescence. · full record | Socratic