Evidence map›Paper›PMID 30514903›Full record

ArticleCell research2019

Glycolipid iGb3 feedback amplifies innate immune responses via CD1d reverse signaling.

Xingguang Liu, Peng Zhang, Yunkai Zhang, Zheng Wang, Sheng Xu, Yingke Li, Wanwan Huai, Qingqing Zhou, Xiang Chen, Xi Chen and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Cell research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 40% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
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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

14 authors at 5 institutions in 2 countries.

Xingguang LiuNational Key Laboratory of Medical Immunology & Institute of Immunology, Second Military Medical University, Shanghai, 200433, China. liuxg@immunol.org.
Peng ZhangNational Key Laboratory of Medical Immunology & Institute of Immunology, Second Military Medical University, Shanghai, 200433, China.
Yunkai ZhangNational Key Laboratory of Medical Immunology & Institute of Immunology, Second Military Medical University, Shanghai, 200433, China.
Zheng WangLaboratory of Cellular and Molecular Tumor Immunology, Institutes of Biology and Medical Sciences, Jiangsu Laboratory of Infection Immunity, Soochow University, Suzhou, 215123, China.
Sheng XuNational Key Laboratory of Medical Immunology & Institute of Immunology, Second Military Medical University, Shanghai, 200433, China.
Yingke LiNational Key Laboratory of Medical Immunology & Institute of Immunology, Second Military Medical University, Shanghai, 200433, China.
Wanwan HuaiInstitute of Immunology, Zhejiang University School of Medicine, Hangzhou, 310058, China.
Qingqing ZhouNational Key Laboratory of Medical Immunology & Institute of Immunology, Second Military Medical University, Shanghai, 200433, China.
Xiang ChenNational Key Laboratory of Medical Immunology & Institute of Immunology, Second Military Medical University, Shanghai, 200433, China.
Xi ChenInstitute of Immunology, Zhejiang University School of Medicine, Hangzhou, 310058, China.
Nan LiNational Key Laboratory of Medical Immunology & Institute of Immunology, Second Military Medical University, Shanghai, 200433, China.
Peng WangCollege of Pharmacy, Nankai University, Tianjin, 30071, China.
Yunsen LiLaboratory of Cellular and Molecular Tumor Immunology, Institutes of Biology and Medical Sciences, Jiangsu Laboratory of Infection Immunity, Soochow University, Suzhou, 215123, China.
Xuetao CaoNational Key Laboratory of Medical Immunology & Institute of Immunology, Second Military Medical University, Shanghai, 200433, China. caoxt@immunol.org.
Second Military Medical University · CNZhejiang University · CNNankai University · CNSoochow University · CNSouthern Command Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cross-talk between cellular lipid metabolism and the innate immune responses remains obscure. In addition to presenting lipid antigens to Natural Killer T-cells (NKT cells), the Cluster of Differentiation 1D Glycoprotein (CD1d) might mediate reverse signaling in antigen-presenting cells (APCs). Here we found CD1d deficiency attenuated Toll-like receptor (TLR)-triggered inflammatory innate responses in macrophages and dendritic cells, protecting mice from endotoxin shock. TLR activation in macrophages induced metabolic changes of glycosphingolipids (GSLs), among which glycolipid isoglobotrihexosylceramide (iGb3) was rapidly produced. The endogenously generated iGb3 bound CD1d in endosomal compartments and then synergized with the initially activated TLR signal to induce Tyr332 phosphorylation of CD1d intracellular domain. This led to the recruitment and activation of proline-rich tyrosine kinase 2 (Pyk2). Pyk2 interacted with IκB kinase β (IKKβ) and TANK-binding kinase 1 (TBK1), and enhanced tyrosine phosphorylation of Tyr188/199 of IKKβ and Tyr179 of TBK1 and thus, their activation to promote full activation of TLR signaling. Thus, intracellular CD1d reverse signaling, triggered by endogenous iGb3, amplifies inflammatory innate responses in APCs. Our findings identify a non-canonical function of CD1d reverse signaling activated by lipid metabolite in the innate immune response.

Indexed as

AnimalsAntigen PresentationAntigens, CD1dCytokinesDendritic CellsGlobosidesHEK293 CellsHumansImmunity, InnateMiceMonocytesTrihexosylceramidesAntigens, CD1dCd1d1 protein, mouseCytokinesGlobosidesisoglobotrihexosylceramideTrihexosylceramides

Identifiers

PMID30514903
PMCPMC6318291
OpenAlexW2902340334

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.