Evidence map›Paper›PMID 37176021›Full record

ArticleInternational journal of molecular sciences2023

Immunosuppressive Polymeric Nanoparticles Targeting Dendritic Cells Alleviate Lupus Disease in

Phuriwat Khiewkamrop, Chamraj Kaewraemruaen, Chonnavee Manipuntee, Chalathan Saengruengrit, Numpon Insin, Asada Leelahavanichkul, Warerat Kaewduangduen, Opor Sonpoung, Kasirapat Ariya-Anandech, Nattiya Hirankarn and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

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  7. Sex differences in mortality among patients with lupus nephritis.European journal of medical research · 2024
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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

11 authors at 3 institutions in 1 country.

Phuriwat KhiewkamropResearch Unit in Integrative Immuno-Microbial Biochemistry and Bioresponsive Nanomaterials, Faculty of Dentistry, Chulalongkorn University, Bangkok 10330, Thailand.
Chamraj KaewraemruaenDepartment of Science and Bioinnovation, Faculty of Liberal Arts and Science, Kasetsart University, Kamphaeng Saen Campus, Nakhon Pathom 73104, Thailand.ORCID 0000-0002-1535-9812
Chonnavee ManipunteeResearch Unit in Integrative Immuno-Microbial Biochemistry and Bioresponsive Nanomaterials, Faculty of Dentistry, Chulalongkorn University, Bangkok 10330, Thailand.
Chalathan SaengruengritBureau of Quality and Safety of Food, Department of Medical Sciences, Ministry of Public Health, Nonthaburi 11000, Thailand.
Numpon InsinResearch Unit in Integrative Immuno-Microbial Biochemistry and Bioresponsive Nanomaterials, Faculty of Dentistry, Chulalongkorn University, Bangkok 10330, Thailand.
Asada LeelahavanichkulTranslational Research in Inflammation and Immunology Research Unit (TRIRU), Department of Microbiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand.
Warerat KaewduangduenResearch Unit in Integrative Immuno-Microbial Biochemistry and Bioresponsive Nanomaterials, Faculty of Dentistry, Chulalongkorn University, Bangkok 10330, Thailand.
Opor SonpoungOral Biology Research Center, Faculty of Dentistry, Chulalongkorn University, Bangkok 10330, Thailand.
Kasirapat Ariya-AnandechResearch Unit in Integrative Immuno-Microbial Biochemistry and Bioresponsive Nanomaterials, Faculty of Dentistry, Chulalongkorn University, Bangkok 10330, Thailand.
Nattiya HirankarnCenter of Excellence in Immunology and Immune-Mediated Diseases, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand.
Patcharee RitprajakResearch Unit in Integrative Immuno-Microbial Biochemistry and Bioresponsive Nanomaterials, Faculty of Dentistry, Chulalongkorn University, Bangkok 10330, Thailand.ORCID 0000-0003-1392-4061
Chulalongkorn University · THKasetsart University · THMinistry of Public Health · TH

Funding

NSRF via the Program Management Unit for Human Resources & Institutional Development NARatchadapisek Sompoch Endowment Fund, Chulalongkorn University NAResearch and Innovation, and the National Research Council of Thailand RES_64_141_23_01Second Century Fund (C2F), Chulalongkorn University NAThailand Science research and Innovation Fund, Chulalongkorn University CU_FRB65_hea (6)_012_32_07
6 · The paper itself

Abstract

Dendritic cells (DCs) are the most potent antigen-presenting cells that have multifaceted functions in the control of immune activation and tolerance. Hyperresponsiveness and altered tolerogenicity of DCs contribute to the development and pathogenesis of system lupus erythematosus (SLE); therefore, DC-targeted therapies aimed at inducing specific immune tolerance have become of great importance for the treatment of SLE. This study developed a new nanoparticle (NP) containing a biodegradable PDMAEMA-PLGA copolymer for target-oriented delivery to DCs in situ. PDMAEMA-PLGA NPs provided sustained drug release and exhibited immunosuppressive activity in FLT3L and GM-CSF-derived bone marrow in conventional DCs (BM-cDCs). PDMAEMA-PLGA NPs improved dexamethasone capability to convert wild-type and

Indexed as

Lupus Erythematosus, SystemicNanoparticlesAnimalsAntigensDendritic CellsDexamethasoneImmune ToleranceImmunosuppressive AgentsMethacrylatesMiceNylonsReceptors, IgGAntigensDexamethasoneFcgr2b protein, mouseImmunosuppressive AgentsMethacrylatesNylonspoly(2-(dimethylamino)ethyl methacrylate)Receptors, IgGdexamethasoneimmune tolerancelupus diseasePDMAEMA-PLGA nanoparticlestolerogenic dendritic cells

Identifiers

PMID37176021
PMCPMC10179670
OpenAlexW4376631106

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.