Evidence map›Paper›PMID 39112658›Full record

ArticleScientific reports2024

Unveiling novel insights into human IL-6 - IL-6R interaction sites through 3D computer-guided docking and systematic site mutagenesis.

Kaitong Li, Junyu Cai, Zhiyang Jiang, Qingbin Meng, Zhao Meng, He Xiao, Guojiang Chen, Chunxia Qiao, Longlong Luo, Jijun Yu and 7 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. In Silico Investigation RevealsMedical sciences (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Article
  4. Article
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

17 authors.

Kaitong LiLaboratory for Genetic Engineering of Antibodies and Functional Proteins, Beijing Institute of Pharmacology and Toxicology, Beijing, 100850, China.
Junyu CaiJoint National Laboratory for Antibody Drug Engineering, The First Affiliated Hospital of Henan University, Henan University, Kaifeng, 475004, China.
Zhiyang JiangLaboratory for Genetic Engineering of Antibodies and Functional Proteins, Beijing Institute of Pharmacology and Toxicology, Beijing, 100850, China.
Qingbin MengLaboratory for Genetic Engineering of Antibodies and Functional Proteins, Beijing Institute of Pharmacology and Toxicology, Beijing, 100850, China.
Zhao MengLaboratory for Genetic Engineering of Antibodies and Functional Proteins, Beijing Institute of Pharmacology and Toxicology, Beijing, 100850, China.
He XiaoLaboratory for Genetic Engineering of Antibodies and Functional Proteins, Beijing Institute of Pharmacology and Toxicology, Beijing, 100850, China.
Guojiang ChenLaboratory for Genetic Engineering of Antibodies and Functional Proteins, Beijing Institute of Pharmacology and Toxicology, Beijing, 100850, China.
Chunxia QiaoLaboratory for Genetic Engineering of Antibodies and Functional Proteins, Beijing Institute of Pharmacology and Toxicology, Beijing, 100850, China.
Longlong LuoLaboratory for Genetic Engineering of Antibodies and Functional Proteins, Beijing Institute of Pharmacology and Toxicology, Beijing, 100850, China.
Jijun YuLaboratory for Genetic Engineering of Antibodies and Functional Proteins, Beijing Institute of Pharmacology and Toxicology, Beijing, 100850, China.
Xinying LiLaboratory for Genetic Engineering of Antibodies and Functional Proteins, Beijing Institute of Pharmacology and Toxicology, Beijing, 100850, China.
Yinxiang WeiJoint National Laboratory for Antibody Drug Engineering, The First Affiliated Hospital of Henan University, Henan University, Kaifeng, 475004, China.
Hui LiJoint National Laboratory for Antibody Drug Engineering, The First Affiliated Hospital of Henan University, Henan University, Kaifeng, 475004, China.
Chenghua LiuLaboratory for Genetic Engineering of Antibodies and Functional Proteins, Beijing Institute of Pharmacology and Toxicology, Beijing, 100850, China.
Beifen ShenLaboratory for Genetic Engineering of Antibodies and Functional Proteins, Beijing Institute of Pharmacology and Toxicology, Beijing, 100850, China.
Jing WangLaboratory for Genetic Engineering of Antibodies and Functional Proteins, Beijing Institute of Pharmacology and Toxicology, Beijing, 100850, China. jingw_biomed@163.com.
Jiannan FengLaboratory for Genetic Engineering of Antibodies and Functional Proteins, Beijing Institute of Pharmacology and Toxicology, Beijing, 100850, China. fengjiannan1970@qq.com.

Funding

National Key Research and Development Program of China 2023YFC2605002National Natural Science Foundation of China 81672368National Natural Science Foundation of China 83101913Natural Science Foundation of Beijing 7222262
6 · The paper itself

Abstract

The cytokine interleukin-6 (IL-6) plays a crucial role in autoimmune and inflammatory diseases. Understanding the precise mechanism of IL-6 interaction at the amino acid level is essential to develop IL-6-inhibiting compounds. In this study, we employed computer-guided drug design tools to predict the key residues that are involved in the interaction between IL-6 and its receptor IL-6R. Subsequently, we generated IL-6 mutants and evaluated their binding affinity to IL-6R and the IL-6R - gp130 complex, as well as monitoring their biological activities. Our findings revealed that the R167A mutant exhibited increased affinity for IL-6R, leading to enhanced binding to IL-6R - gp130 complex and subsequently elevated intracellular phosphorylation of STAT3 in effector cells. On the other hand, although E171A reduced its affinity for IL-6R, it displayed stronger binding to the IL-6R - gp130 complex, thereby enhancing its biological activity. Furthermore, we identified the importance of R178 and R181 for the precise recognition of IL-6 by IL-6R. Mutants R181A/V failed to bind to IL-6R, while maintaining an affinity for the IL-6 - gp130 complex. Additionally, deletion of the D helix resulted in complete loss of IL-6 binding affinity for IL-6R. Overall, this study provides valuable insights into the binding mechanism of IL-6 and establishes a solid foundation for future design of novel IL-6 inhibitors.

Indexed as

Interleukin-6Molecular Docking SimulationProtein BindingReceptors, Interleukin-6Binding SitesCytokine Receptor gp130HumansMutagenesis, Site-DirectedMutationPhosphorylationSTAT3 Transcription FactorCytokine Receptor gp130IL6 protein, humanIL6R protein, humanInterleukin-6Receptors, Interleukin-6STAT3 Transcription FactorComputer-guided dockingIL-6 − IL-6R − gp130 complexSurface plasmon resonance (SPR)Systematic mutagenesis

Identifiers

PMID39112658
PMCPMC11306327

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.