Evidence map›Paper›PMID 34893068›Full record

ArticleJournal of neuroinflammation2021

Identification of the minimal active soluble TREM2 sequence for modulating microglial phenotypes and amyloid pathology.

Xuan Sheng, Yunling Yao, Ruizhi Huang, Ying Xu, Yifei Zhu, Linting Chen, Lianshuai Zhang, Wanbing Wang, Rengong Zhuo, Dan Can and 6 more

Open access · goldAbstract read
In one paragraph

Article in Journal of neuroinflammation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.5field-weighted citation impact, top 10% of its field
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

11 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Review
  3. Roles of TREM2 in Alzheimer's disease.Translational neurodegeneration · 2025
    Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Does Soluble TREM2 Protect Against Alzheimer's Disease?Frontiers in aging neuroscience · 2021
    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 at 4 institutions in 3 countries.

Xuan Sheng *Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, 361102, China.
Yunling Yao *Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, 361102, China.
Ruizhi HuangFujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, 361102, China.
Ying XuFujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, 361102, China.
Yifei ZhuFujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, 361102, China.
Linting ChenFujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, 361102, China.
Lianshuai ZhangFujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, 361102, China.
Wanbing WangFujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, 361102, China.
Rengong ZhuoXiamen Key Laboratory of Chiral Drugs, School of Medicine, Xiamen University, Xiamen, 361102, China.
Dan CanFujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, 361102, China.
Che-Feng ChangGraduate Institute of Physiology, College of Medicine, National Taiwan University, Taipei, 10051, Taiwan.
Yun-Wu ZhangFujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, 361102, China.
Huaxi XuFujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, 361102, China.
Guojun BuDepartment of Neuroscience, Mayo Clinic, Jacksonville, FL, 32224, USA.
Li ZhongFujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, 361102, China. zhongli@xmu.edu.cn.
Xiao-Fen ChenFujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, 361102, China. chenxf@xmu.edu.cn.ORCID http://orcid.org/0000-0002-2435-7982
Xiamen University · CNMayo Clinic in Florida · USNational Taiwan University · TWShenzhen University · CN

Funding

Alzheimer's Association AARG-18-56635BrightFocus Foundation A2021023Snational natural science foundation of china 81922021national natural science foundation of china 82071198natural science foundation of fujian province 2019J01014natural science foundation of guangdong province 2016A030306005
6 · The paper itself

Abstract

backgroundTREM2 is a microglial receptor genetically linked to the risk for Alzheimer's disease (AD). The cerebrospinal fluid (CSF) levels of soluble TREM2 (sTREM2) have emerged as a valuable biomarker for the disease progression in AD and higher CSF levels of sTREM2 are linked to slower cognitive decline. Increasing sTREM2 in mouse models of amyloidosis reduces amyloid-related pathology through modulating microglial functions, suggesting a beneficial role of sTREM2 in microglia biology and AD pathology.

methodsIn the current study, we performed serial C- and N-terminal truncations of sTREM2 protein to define the minimal sequence requirement for sTREM2 function. We initially assessed the impacts of sTREM2 mutants on microglial functions by measuring cell viability and inflammatory responses. The binding of the sTREM2 mutants to oligomeric Aβ was determined by solid-phase protein binding assay and dot blot assay. We further evaluated the impacts of sTREM2 mutants on amyloid-related pathology by direct stereotaxic injection of sTREM2 proteins into the brain of 5xFAD mice.

resultsWe found that both sTREM2 fragments 41-81 and 51-81 enhance cell viability and inflammatory responses in primary microglia. However, the fragment 51-81 exhibited impaired affinity to oligomeric Aβ. When administrated to the 5xFAD mice brain, the sTREM2 fragment 41-81, but not 51-81, increased the number of plaque-associated microglia and reduced the plaque deposition. Interestingly, the fragment 41-81 was more efficient than the physiological form of sTREM2 in ameliorating Aβ-related pathology.

conclusionsOur results indicate that the interaction of sTREM2 truncated variants with Aβ is essential for enhancing microglial recruitment to the vicinity of an amyloid plaque and reducing the plaque load. Importantly, we identified a 41-amino acid sequence of sTREM2 that is sufficient for modulating microglial functions and more potent than the full-length sTREM2 in reducing the plaque load and the plaque-associated neurotoxicity. Taken together, our data provide more insights into the mechanisms underlying sTREM2 function and the minimal active sTREM2 sequence represents a promising candidate for AD therapy.

Indexed as

PhenotypeAmino Acid SequenceAmyloidosisAnimalsBrainCells, CulturedHEK293 CellsHumansMembrane GlycoproteinsMiceMicrogliaReceptors, ImmunologicMembrane GlycoproteinsReceptors, ImmunologicTrem2 protein, mouseAmyloid plaqueMicrogliasTREM2

Identifiers

PMID34893068
PMCPMC8665564
OpenAlexW4200028064

What OpenQuestion holds

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LicenceCC BY
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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.