Expression data from whole blood sample of eight kinds of TCM syndromes of rheumatoid arthritis patients.
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE205962 | GEO | 2023/01/01
REPOSITORIES: GEO
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Project description:Personalized therapy of rheumatoid arthritis (RA) based on traditional Chinese medicine cold and hot syndromes is selection of the best treatment for an individual patient. Wutou Decoction (WTD) is one of the classic Chinese herbal formulae which achieve favorable therapeutic response in treating RA-cold syndrome. Microarray analysis based on the adjuvant induced arthritis model combined with characteristics of RA and cold/hot syndromes was performed to screen RA-cold and RA-hot-syndrome-related genes, as well as WTD effect genes.
2018-06-13 | GSE115662 | GEO
Project description:Psoriasis is chronic skin disease and an important health concern. Traditional Chinese Medicine (TCM) has shown great promise in the treatment of psoriasis. However, the correlation between TCM Syndromes and genomics of psoriasis has not been evaluated. Here, we analyzed gene expression profiling of monocytes from psoriasis vulgaris patients with different TCM syndrome types to reveal the molecular basis of different psoriasis syndromes. Of the 62 cases of psoriasis vulgaris recruited, 16, 23, and 23 cases were of blood-heat syndrome, blood stasis syndrome, and blood-dryness syndrome, respectively; 10 healthy controls were recruited as controls. Affymertix's Gene Chip ®clariom D gene chip was used to detect the gene expression profile of peripheral blood monocytes collected from recruited individuals. Compared with the healthy control group, 1570 genes were up-regulated and 977 genes were down-regulated in the psoriasis vulgaris patients group; 798 genes and 108 genes were up- and down-regulated in the blood-heat syndrome group respectively; 319 and 433 genes were up- and down-regulated in the blood-dryness syndrome group, respectively; and 502 and 179 genes were up-and down-regulated in the blood-stasis syndrome group. Our analyses indicated not only common differential genes and pathways between psoriasis syndrome groups and healthy controls, but also syndrome-specific genes and pathways. The results of this study link the three syndromes at the gene level and will be useful for clarifying the molecular basis of TCM syndromes of psoriasis. Trial registration: ChiCTR, ChiCTR-TRC-14005185. Registered 8 August 2014, http://www.chictr.org.cn/showproj.aspx?proj=4390 Keywords: Gene chip, Gene expression, Psoriasis vulgaris, TCM syndrome type
2022-02-08 | GSE192867 | GEO
Project description:Traditional Chinese medicine (TCM) syndrome is a core foundation of disease knowledge, clinical diagnosis and treatment and curative effect evaluation in TCM. "Same TCM Syndrome for Different Diseases" and "Same Treatment for Different Diseases" is one of the characteristics of TCM syndrome differentiation and treatment.
This study is the "TCM disease syndrome combination" research baced on principles and methods of system biology, which is through acquisition of primary hepatocellular carcinoma (HCC) and colorectal cancer patients with TCM syndrome information, detection of clinical indicators and genomic, proteomic, and metabolites changes, analyzing the correlation between TCM syndromes and biological information, and revealing its biological material characteristics and the molecular mechanisms of "Same TCM Syndrome for Different Diseases";Developing and implementing the program of TCM syndrome differentiation and treatment for HCC and colorectal cancer to evaluate the efficacy of TCM syndrome based-treatment of HCC and colorectal cancer with TCM syndrom scores, clinical and systems biological indicators, quality of life and survival rate, and to revealing the mechanism of the "Same Treatment for Different Diseases".
| 2247208 | ecrin-mdr-crc
Project description:Rheumatoid arthritis (RA) is a systemic autoimmune disease characterized by chronic destructive arthritis. Although helper T cells are involved in the pathogenesis of RA, the characteristics of synovium-infiltrating CD4+ T cells are still largely unknown. In this study, we investigated synovium-infiltrating helper T cells of rheumatoid arthritis patients
2023-05-18 | GSE216245 | GEO
Project description:Baker2013 - Cytokine Mediated Inflammation in
Rheumatoid Arthritis
This model by Baker M. 2013, describes
the interaction between pro and anti-inflammatory cytokine
signalling in rheumatoid arthritis.
Using two ordinary differential equations, the first model
[BIOMD0000000550]
analyses bifurcation and describes different pathological states by
altering inflammatory regulation parameters.
The second model
[BIOMD0000000549]
includes the effect that ageing has on pro-inflammatory signalling,
allowing for time-dependant properties and disease progression to
be observed. The author also describes potential dosing for
reversal of the disease state.
This model is described in the article:
Mathematical modelling of
cytokine-mediated inflammation in rheumatoid arthritis.
Baker M, Denman-Johnson S, Brook BS,
Gaywood I, Owen MR.
Math Med Biol 2013 Dec; 30(4):
311-337
Abstract:
Rheumatoid arthritis (RA) is a chronic inflammatory disease
preferentially affecting the joints and leading, if untreated,
to progressive joint damage and disability. Cytokines, a group
of small inducible proteins, which act as intercellular
messengers, are key regulators of the inflammation that
characterizes RA. They can be classified into pro-inflammatory
and anti-inflammatory groups. Numerous cytokines have been
implicated in the regulation of RA with complex up and down
regulatory interactions. This paper considers a two-variable
model for the interactions between pro-inflammatory and
anti-inflammatory cytokines, and demonstrates that mathematical
modelling may be used to investigate the involvement of
cytokines in the disease process. The model displays a range of
possible behaviours, such as bistability and oscillations,
which are strongly reminiscent of the behaviour of RA e.g.
genetic susceptibility and remitting-relapsing disease. We also
show that the dose regimen as well as the dose level are
important factors in RA treatments.
This model is hosted on
BioModels Database
and identified by:
BIOMD0000000550.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2014-09-25 | BIOMD0000000550 | BioModels
Project description:Baker2013 - Cytokine Mediated Inflammation in
Rheumatoid Arthritis - Age Dependant
This model by Baker M. 2013, describes
the interaction between pro and anti-inflammatory cytokine
signalling in rheumatoid arthritis.
Using two ordinary differential equations, the first model
[BIOMD0000000550]
analyses bifurcation and describes different pathological states by
altering inflammatory regulation parameters.
The second model
[BIOMD0000000549]
includes the effect that ageing has on pro-inflammatory signalling,
allowing for time-dependant properties and disease progression to
be observed. The author also describes potential dosing for
reversal of the disease state.
This model is described in the article:
Mathematical modelling of
cytokine-mediated inflammation in rheumatoid arthritis.
Baker M, Denman-Johnson S, Brook BS,
Gaywood I, Owen MR.
Math Med Biol 2013 Dec; 30(4):
311-337
Abstract:
Rheumatoid arthritis (RA) is a chronic inflammatory disease
preferentially affecting the joints and leading, if untreated,
to progressive joint damage and disability. Cytokines, a group
of small inducible proteins, which act as intercellular
messengers, are key regulators of the inflammation that
characterizes RA. They can be classified into pro-inflammatory
and anti-inflammatory groups. Numerous cytokines have been
implicated in the regulation of RA with complex up and down
regulatory interactions. This paper considers a two-variable
model for the interactions between pro-inflammatory and
anti-inflammatory cytokines, and demonstrates that mathematical
modelling may be used to investigate the involvement of
cytokines in the disease process. The model displays a range of
possible behaviours, such as bistability and oscillations,
which are strongly reminiscent of the behaviour of RA e.g.
genetic susceptibility and remitting-relapsing disease. We also
show that the dose regimen as well as the dose level are
important factors in RA treatments.
This model is hosted on
BioModels Database
and identified by:
BIOMD0000000549.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
2014-09-25 | BIOMD0000000549 | BioModels
Project description:Rheumatoid arthritis (RA) is a chronic, inflammatory joint disease of unknown etiology and pronounced inter-patient heterogeneity. To characterize RA at the molecular level and to uncover key pathomechanisms, we performed whole-genome gene expression analyses. Synovial tissues from rheumatoid arthritis patients were compared to those from osteoarthritis patients and to normal donors. Keywords: disease state analysis Two disease conditions (rheumatoid arthritis and osteoarthritis) in comparison to normal donors were investigated. For the two disease groups samples derived from three individual patients and two pools of patients were hybridised.
2004-11-04 | E-GEOD-1919 | biostudies-arrayexpress
Project description:The transcriptome of PBMC from rheumatoid arthritis patient hasn't been compenhensively profiled, and heterogeneous characteristics of blood monocytes in RA patients are much unknown. We performed the single cell transcriptomic analysis of PBMC from rheumatoid arthritis (RA) patient, and monocyte populations were extracted during the analysis. CD127 expression associated expression pattern of inflammatory genes was identified in RA patient's blood monocytes.
2020-11-10 | GSE159117 | GEO
Project description:Platelet microparticles (PMPs) are closely related to the activity of rheumatoid arthritis, and promote the migration and invasion of rheumatoid arthritis fibroblast-like synoviocytes (RA-FLSs). In order to identify the possible mechanisms of the promotion effect on migration and invasion of RA-FLS by PMP, we used microarray analysis to detect the gene expressions of RA-FLSs after treatment with PMPs.
2017-06-06 | GSE99681 | GEO
Project description:Rheumatoid arthritis (RA) is a chronic, inflammatory joint disease of unknown etiology and pronounced inter-patient heterogeneity. To characterize RA at the molecular level and to uncover key pathomechanisms, we performed whole-genome gene expression analyses. Synovial tissues from rheumatoid arthritis patients were compared to those from to normal donors. Keywords: repeat sample Rheumatoid in comparison to normal donors were investigated. For both groups samples derived from individual patients and or pools of patients were hybridised.
2004-12-10 | E-GEOD-2053 | biostudies-arrayexpress