Evidence map›Paper›PMID 25652121›Full record

ArticleBMC complementary and alternative medicine2015

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

Halmurat Upur, Yin Chen, Mayila Kamilijiang, Wanli Deng, Xierzhatijiang Sulaiman, Renaguli Aizezi, Xiao Wu, Wuniqiemu Tulake, Abulizi Abudula

Open access · goldAbstract read
In one paragraph

Article in BMC complementary and alternative medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Halmurat UpurKey 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.
Yin ChenOncology Center, Affiliated General Hospital of Chinese Medicine, Xinjiang Medical University, 393 Xinyi Rd., Urumqi, 830011, P R China. chenyin713@163.com.
Mayila KamilijiangDepartment of Biochemistry and Molecular Biology, Xinjiang Medical University, 393 Xinyi Rd., Urumqi, 830011, P R China. mayilahexiami@126.com.
Wanli DengOncology Center, Affiliated General Hospital of Chinese Medicine, Xinjiang Medical University, 393 Xinyi Rd., Urumqi, 830011, P R China. dengwanwan7723@sina.com.
Xierzhatijiang SulaimanDepartment of Biochemistry and Molecular Biology, Xinjiang Medical University, 393 Xinyi Rd., Urumqi, 830011, P R China. xirzatgg@gmail.com.
Renaguli AizeziSchool of Uighur Medicine, Xinjiang Medical University, 393 Xinyi Rd., Urumqi, 830011, P R China. rena727@sina.com.
Xiao WuOncology Center, Affiliated General Hospital of Chinese Medicine, Xinjiang Medical University, 393 Xinyi Rd., Urumqi, 830011, P R China. hellosult@163.com.
Wuniqiemu TulakeDepartment of Biochemistry and Molecular Biology, Xinjiang Medical University, 393 Xinyi Rd., Urumqi, 830011, P R China. laili0308@hotmail.com.
Abulizi AbudulaKey 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. abulizi_de@163.com.
Xinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraditional 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.

methodsPatients 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).

resultsWe 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).

conclusionsAbnormal 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.

Indexed as

Medicine, TraditionalBiomarkersBiomedical ResearchBlood ProteinsBreast NeoplasmsCase-Control StudiesComputational BiologyEnzyme-Linked Immunosorbent AssayFemaleHumansLung NeoplasmsMaleNeoplasmsProspective StudiesProteomicsStomach NeoplasmsBiomarkersBlood Proteins

Identifiers

PMID25652121
PMCPMC4321703
OpenAlexW2004775075

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Registered trials

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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.