Evidence map›Paper›PMID 27296761›Full record

ArticleScientific reports2016

Differential integrative omic analysis for mechanism insights and biomarker discovery of abnormal Savda syndrome and its unique Munziq prescription.

Xia Guo, Iskandar Bakri, Abulizi Abudula, Kalbinur Arken, Mahmut Mijit, Batur Mamtimin, Halmurat Upur

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
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

7 authors.

Xia GuoShenzhen Hospital of Southern Medical University, Shenzhen 518110, PR China.
Iskandar BakriDepartment of Biochemistry and Molecular Biology, Xinjiang Medical University, Urumqi 830011, PR China.
Abulizi AbudulaDepartment of Biochemistry and Molecular Biology, Xinjiang Medical University, Urumqi 830011, PR China.
Kalbinur ArkenFaculty of Traditional Uyghur Medicine, Xinjiang Medical University, Urumqi 830011, PR China.
Mahmut MijitFaculty of Traditional Uyghur Medicine, Xinjiang Medical University, Urumqi 830011, PR China.
Batur MamtiminCentral Laboratory, Xinjiang Medical University, Urumqi 830011, PR China.
Halmurat UpurCentral Laboratory, Xinjiang Medical University, Urumqi 830011, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research has shown that many cancers have acommon pathophysiological origin and often present with similar symptoms. In terms of Traditional Uighur Medicine (TUM) Hilit (body fluid) theory, abnormal Savda syndrome (ASS) formed by abnormal Hilit is the common phenotype of complex diseases and in particular tumours. Abnormal Savda Munziq (ASMq), one representative of TUM, has been effective in the treatment of cancer since ancient times. Despite the physiopathology of ASS, the relationship between causative factors and the molecular mechanism of ASMq are not fully understood. The current study expanded upon earlier work by integrating traditional diagnostic approaches with others utilizing systems biology technology for the analysis of proteomic (iTRAQ) and metabolomic ((1)H-NMR) profiles of Uighur Medicine target organ lesion (liver) tumours. The candidate proteins were analyzed by enrichment analysis of the biological process and biomarker filters. Subsequently, 3Omics web-based tools were used to determine the relationships between proteins and appropriate metabolites. ELISA assay and IHC methods were used to verify the proteomic result; the protein von Willebrand factor (vWF) may be the "therapeutic window" of ASMq and biomarkers of ASS. This study is likely to be of great significance for the standardization and modernization of TUM.

Indexed as

Medicine, Mongolian TraditionalAnimalsBiomarkers, TumorBody FluidsHumansLiver NeoplasmsMaleMetabolomicsPlant PreparationsProteomeProteomicsRatsReference StandardsSyndromevon Willebrand FactorBiomarkers, TumorPlant PreparationsProteomevon Willebrand Factor

Identifiers

PMID27296761
PMCPMC4906522

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.