ReviewJournal of cellular and molecular medicine2010
Proteomics and syndrome of Chinese medicine.
Review in Journal of cellular and molecular medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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.
Who cites it
13 citing papers in PubMed.
- Understanding the molecular aspects of oriental obesity pattern differentiation using DNA microarray.Journal of translational medicine · 2015Trial
- Application of metabolomics in the classification of traditional Chinese medicine syndromes in rheumatoid arthritis.Clinical rheumatology · 2025Article
- Proteomics analysis of coronary atherosclerotic heart disease with different Traditional Chinese Medicine syndrome types before and after percutaneous coronary intervention.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2024Article
- Proteomic investigation and biomarker identification of lung and spleen deficiency syndrome in HIV/AIDS immunological nonresponders.Journal of thoracic disease · 2023Article
- Uncovering the characteristics of the gut microbiota in patients with acute ischemic stroke and phlegm-heat syndrome.PloS one · 2022Article
- Understanding Chinese Medicine Patterns of Rheumatoid Arthritis and Related Biomarkers.Medicines (Basel, Switzerland) · 2018Review
- UPLC-QTOF/MS-Based Lipidomic Profiling of Liver Qi-Stagnation and Spleen-Deficiency Syndrome in Patients with Hyperlipidemia.Evidence-based complementary and alternative medicine : eCAM · 2018Article
- Recent Advance in Applications of Proteomics Technologies on Traditional Chinese Medicine Research.Evidence-based complementary and alternative medicine : eCAM · 2015Review
- Proteomics in Traditional Chinese Medicine with an Emphasis on Alzheimer's Disease.Evidence-based complementary and alternative medicine : eCAM · 2015Review
- Model organisms and traditional chinese medicine syndrome models.Evidence-based complementary and alternative medicine : eCAM · 2013Review
- Clinical Applications of Omics Technologies on ZHENG Differentiation Research in Traditional Chinese Medicine.Evidence-based complementary and alternative medicine : eCAM · 2013Article
- ZHENG-Omics Application in ZHENG Classification and Treatment: Chinese Personalized Medicine.Evidence-based complementary and alternative medicine : eCAM · 2013Article
- Bridging the traditional Chinese medicine pattern classification and biomedical disease diagnosis with systems biology.Chinese journal of integrative medicine · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Syndrome of Chinese medicine is an understanding of the regularity of disease occurrence and development and its performance of symptoms. Syndrome is the key to recognize diseases and the foundation to treat them. However, because of the complexity of the concept and the limitation of present investigations, the research of syndrome is hard to go further. Proteomics has been received extensive attention in the area of medical diagnosis and drug development. In the holistic and systemic context, proteomics have a convergence with traditional Chinese medicine (TCM) syndrome, which could overcome the one-sidedness and singleness of TCM and avoid the complication and tedious processes. Chinese medicine has a wealth of experience and proteomics has a substantial research potential, the integration of the two aspects will bring a great enhancement of our knowledge of disease.
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Registered trials
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.