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Identification of plasma protein markers common to patients with malignant tumour and Abnormal Savda in Uighur medicine: a prospective clinical study.

Upur H, Chen Y, Kamilijiang M, Deng W, Sulaiman X, Aizezi R, Wu X, Tulake W, Abudula A - BMC Complement Altern Med (2015)

Bottom Line: We identified 31 plasma proteins that were differentially expressed in ASt compared with nASt, of which only 10 showed quantitatively different expression between ASt and NC.ELISA detection showed significant upregulation of plasma SAA1 and SPP24 and downregulation of PIGR and FASN in ASt compared with nASt and NC (p < 0.05).Abnormal Savda may be causally associated with changes in the whole regulation network of protein expression during carcinogenesis.

View Article: PubMed Central - PubMed

Affiliation: Key Laboratory of High-Incident Diseases in Uyghur Ethnic Population supported by the Chinese Ministry of Education, Xinjiang Medical University, 393 Xinyi Rd., Urumqi, 830011, P R China. halmurat@263.net.

ABSTRACT

Background: Traditional Uighur medicine shares an origin with Greco-Arab medicine. It describes the health of a human body as the dynamic homeostasis of four normal Hilits (humours), known as Kan, Phlegm, Safra, and Savda. An abnormal change in one Hilit may cause imbalance among the Hilits, leading to the development of a syndrome. Abnormal Savda is a major syndrome of complex diseases that are associated with common biological changes during disease development. Here, we studied the protein expression profile common to tumour patients with Abnormal Savda to elucidate the biological basis of this syndrome and identify potential biomarkers associated with Abnormal Savda.

Methods: Patients with malignant tumours were classified by the diagnosis of Uighur medicine into two groups: Abnormal Savda type tumour (ASt) and non-Abnormal Savda type tumour (nASt), which includes other syndromes. The profile of proteins that were differentially expressed in ASt compared with nASt and normal controls (NC) was analysed by iTRAQ proteomics and evaluated by bioinformatics using MetaCore™ software and an online database. The expression of candidate proteins was verified in all plasma samples by enzyme-linked immunosorbent assay (ELISA).

Results: We identified 31 plasma proteins that were differentially expressed in ASt compared with nASt, of which only 10 showed quantitatively different expression between ASt and NC. Bioinformatics analysis indicated that most of these proteins are known biomarkers for neoplasms of the stomach, breast, and lung. ELISA detection showed significant upregulation of plasma SAA1 and SPP24 and downregulation of PIGR and FASN in ASt compared with nASt and NC (p < 0.05).

Conclusions: Abnormal Savda may be causally associated with changes in the whole regulation network of protein expression during carcinogenesis. The expression of potential biomarkers might be used to distinguish Abnormal Savda from other syndromes.

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Related in: MedlinePlus

Network profile for protein interactions associated with 10 candidate proteins in cellular signalling and gene expression by MetaCore™. The network includes THBS1, LBP, SAA1, ORM1, PIGR, SPP24, HYAL1, FASN, KRT2, and ZNF452 as described in Table 1.
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Fig2: Network profile for protein interactions associated with 10 candidate proteins in cellular signalling and gene expression by MetaCore™. The network includes THBS1, LBP, SAA1, ORM1, PIGR, SPP24, HYAL1, FASN, KRT2, and ZNF452 as described in Table 1.

Mentions: As shown in Table 1, 10 out of the 31 identified proteins may distinguish ASt from nASt and NC and are therefore important candidate biomarkers for ASt. Figure 2 shows the potential interaction and regulation networks associated with these proteins in cellular signalling and gene expression. These proteins are localized in the extracellular space (matrix), membrane, or cytoplasm; are involved in interactions with diverse effectors, such as endopeptidases, matrix metalloproteinases, and phosphatases; and are mainly regulated by transcription factors downstream of distinct signalling pathways.Figure 2


Identification of plasma protein markers common to patients with malignant tumour and Abnormal Savda in Uighur medicine: a prospective clinical study.

Upur H, Chen Y, Kamilijiang M, Deng W, Sulaiman X, Aizezi R, Wu X, Tulake W, Abudula A - BMC Complement Altern Med (2015)

Network profile for protein interactions associated with 10 candidate proteins in cellular signalling and gene expression by MetaCore™. The network includes THBS1, LBP, SAA1, ORM1, PIGR, SPP24, HYAL1, FASN, KRT2, and ZNF452 as described in Table 1.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4321703&req=5

Fig2: Network profile for protein interactions associated with 10 candidate proteins in cellular signalling and gene expression by MetaCore™. The network includes THBS1, LBP, SAA1, ORM1, PIGR, SPP24, HYAL1, FASN, KRT2, and ZNF452 as described in Table 1.
Mentions: As shown in Table 1, 10 out of the 31 identified proteins may distinguish ASt from nASt and NC and are therefore important candidate biomarkers for ASt. Figure 2 shows the potential interaction and regulation networks associated with these proteins in cellular signalling and gene expression. These proteins are localized in the extracellular space (matrix), membrane, or cytoplasm; are involved in interactions with diverse effectors, such as endopeptidases, matrix metalloproteinases, and phosphatases; and are mainly regulated by transcription factors downstream of distinct signalling pathways.Figure 2

Bottom Line: We identified 31 plasma proteins that were differentially expressed in ASt compared with nASt, of which only 10 showed quantitatively different expression between ASt and NC.ELISA detection showed significant upregulation of plasma SAA1 and SPP24 and downregulation of PIGR and FASN in ASt compared with nASt and NC (p < 0.05).Abnormal Savda may be causally associated with changes in the whole regulation network of protein expression during carcinogenesis.

View Article: PubMed Central - PubMed

Affiliation: Key Laboratory of High-Incident Diseases in Uyghur Ethnic Population supported by the Chinese Ministry of Education, Xinjiang Medical University, 393 Xinyi Rd., Urumqi, 830011, P R China. halmurat@263.net.

ABSTRACT

Background: Traditional Uighur medicine shares an origin with Greco-Arab medicine. It describes the health of a human body as the dynamic homeostasis of four normal Hilits (humours), known as Kan, Phlegm, Safra, and Savda. An abnormal change in one Hilit may cause imbalance among the Hilits, leading to the development of a syndrome. Abnormal Savda is a major syndrome of complex diseases that are associated with common biological changes during disease development. Here, we studied the protein expression profile common to tumour patients with Abnormal Savda to elucidate the biological basis of this syndrome and identify potential biomarkers associated with Abnormal Savda.

Methods: Patients with malignant tumours were classified by the diagnosis of Uighur medicine into two groups: Abnormal Savda type tumour (ASt) and non-Abnormal Savda type tumour (nASt), which includes other syndromes. The profile of proteins that were differentially expressed in ASt compared with nASt and normal controls (NC) was analysed by iTRAQ proteomics and evaluated by bioinformatics using MetaCore™ software and an online database. The expression of candidate proteins was verified in all plasma samples by enzyme-linked immunosorbent assay (ELISA).

Results: We identified 31 plasma proteins that were differentially expressed in ASt compared with nASt, of which only 10 showed quantitatively different expression between ASt and NC. Bioinformatics analysis indicated that most of these proteins are known biomarkers for neoplasms of the stomach, breast, and lung. ELISA detection showed significant upregulation of plasma SAA1 and SPP24 and downregulation of PIGR and FASN in ASt compared with nASt and NC (p < 0.05).

Conclusions: Abnormal Savda may be causally associated with changes in the whole regulation network of protein expression during carcinogenesis. The expression of potential biomarkers might be used to distinguish Abnormal Savda from other syndromes.

Show MeSH
Related in: MedlinePlus