Evidence map›Paper›PMID 37695380›Full record

ArticleClinical rheumatology2023

Increased ILT2

Ning Chen, Yijun Dai, Hui Li, Xianming Long, Jun Ke, Jiuyun Zhang, Hong Sun, Fei Gao, He Lin, Qing Yan

Abstract read
PubMed Publisher
In one paragraph

Article in Clinical rheumatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

10 authors at 3 institutions in 1 country.

Ning Chen *Department of Infectious Diseases, South Branch of Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian Province, China.
Yijun Dai *Department of Rheumatology and Immunology, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian Province, China.
Hui LiDepartment of Rheumatology and Immunology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huaian, Jiangsu Province, China.
Xianming LongDepartment of Rheumatology and Immunology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.
Jun KeDepartment of Emergency, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Key Laboratory of Emergency Medicine, Fuzhou, Fujian Province, China.
Jiuyun ZhangDepartment of Emergency, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Key Laboratory of Emergency Medicine, Fuzhou, Fujian Province, China.
Hong SunDepartment of Pharmacy, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian Province, China. sunhong7777@fjmu.edu.cn.
Fei GaoDepartment of Rheumatology and Immunology, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian Province, China. feifei7316749@aliyun.com.
He LinDepartment of Rheumatology and Immunology, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fuzhou, Fujian Province, China.
Qing YanDepartment of Emergency, Fujian Provincial Hospital, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Key Laboratory of Emergency Medicine, Fuzhou, Fujian Province, China. qingyanfjsl@163.com.ORCID http://orcid.org/0000-0002-5240-8492
Fujian Medical University · CNHuaian First People’s Hospital · CNSoochow University · CN

Funding

Key Laboratory in Science and Technology Development Project of Suzhou KJXW2020004Natural Science Foundation of Fujian 2022J011004Natural Science Foundation of Fujian 2023J011178the Medical Innovation Project of Fujian 2022CXB001
6 · The paper itself

Abstract

objectiveNumerous immune cell types, such as B and T lymphocytes, natural killer cells (NK), and NKT cells, are related to the pathogenesis of diseases in systemic lupus erythematosus (SLE). Our goal in this investigation is to examine the phenotype of NK cells and NKT cells alterations in individuals with SLE.

methodsTypically, 50 SLE patients and 24 age-matched healthy people had their PBMCs obtained. Employing flow cytometry, the phenotype of NK and NKT cells and immunoglobulin-like transcript 2 (ILT2) expressions were identified. ELISA was utilized to evaluate the amounts of interleukin-15 (IL-15) and sHLA-G in the serum.

resultsThe frequencies of the circulating NK and NKT cells in individuals with SLE were decreased compared to healthy controls. Furthermore, ILT2 expression was significantly increased in NKT cells, but showed no obvious change in NK cells. Clinical severity and active nephritis were substantially associated with ILT2

conclusionsILT2

Indexed as

Lupus Erythematosus, SystemicNatural Killer T-CellsNephritisHumansInterleukin-15Killer Cells, NaturalInterleukin-15Disease activityILT2Natural killer T cellsSystemic lupus erythematosus

Identifiers

PMID37695380
OpenAlexW4386592478

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.