Evidence map›Paper›PMID 20658292›Full record

ArticleRheumatology international2012

Cold and heat pattern of rheumatoid arthritis in traditional Chinese medicine: distinct molecular signatures indentified by microarray expression profiles in CD4-positive T cell.

Cheng Lu, Cheng Xiao, Gao Chen, Miao Jiang, Qinglin Zha, Xiaoping Yan, Weiping Kong, Aiping Lu

Abstract readComparative Study
In one paragraph

Article in Rheumatology international, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

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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

39 citing papers in PubMed.

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  10. Hot and Cold Theory: Evidence in Systems Biology.Advances in experimental medicine and biology · 2021
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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

8 authors.

Cheng LuInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Science, Dongzhimen, Beijing 100700, People's Republic of China.
Cheng Xiao
Gao Chen
Miao Jiang
Qinglin Zha
Xiaoping Yan
Weiping Kong
Aiping Lu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The research is aimed to explore the distinct molecular signatures in discriminating the rheumatoid arthritis patients with traditional Chinese medicine (TCM) cold pattern and heat pattern. Twenty patients with typical TCM cold pattern and heat pattern were included. Microarray technology was used to reveal gene expression profiles in CD4+ T cells. The signal intensity of each expressed gene was globally normalized using the R statistics program. The ratio of cold pattern to heat pattern in patients with RA at more or less than 1:2 was taken as the differential gene expression criteria. Protein-protein interaction information for these genes from databases was searched, and the highly connected regions were detected by IPCA algorithm. The significant pathways were extracted from these subnetworks by Biological Network Gene Ontology tool. Twenty-nine genes differentially regulated between cold pattern and heat pattern were found. Among them, 7 genes were expressed significantly more in cold pattern. Biological network of protein-protein interaction information for these significant genes were searched and four highly connected regions were detected by IPCA algorithm to infer significant complexes or pathways in the biological network. Particularly, the cold pattern was related to Toll-like receptor signaling pathway. The following related pathways in heat pattern were included: Calcium signaling pathway; cell adhesion molecules; PPAR signaling pathway; fatty acid metabolism. These results suggest that better knowledge of the main biological processes involved at a given pattern in TCM might help to choose the most appropriate treatment.

Indexed as

Cold TemperatureGene Expression ProfilingHot TemperatureMedicine, Chinese TraditionalMicroarray AnalysisAdolescentAdultAgedAlgorithmsApoptosisArthritis, RheumatoidCalcium SignalingCD4-Positive T-LymphocytesCell Adhesion MoleculesCell CommunicationChildCell Adhesion MoleculesFatty AcidsPeroxisome Proliferator-Activated Receptors

Identifiers

PMID20658292
PMCPMC3253282

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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.