Evidence map›Paper›PMID 27438829›Full record

ArticleInternational journal of molecular sciences2016

Potential Metabolic Biomarkers to Identify Interstitial Lung Abnormalities.

Yong Tan, Dongmei Jia, Zhang Lin, Baosheng Guo, Bing He, Cheng Lu, Cheng Xiao, Zhongdi Liu, Ning Zhao, Zhaoxiang Bian and 4 more

Abstract readComparative Study
In one paragraph

Article in International journal of molecular sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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

14 authors.

Yong TanInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China. tcmtanyong@126.com.
Dongmei JiaTraditional Chinese Medicine Division, Science Press, Beijing 100717, China. jdm3213@163.com.
Zhang LinSchool of Pharmacy, Second Military Medical University, Shanghai 200433, China. linzhang19890211@163.com.
Baosheng GuoInstitute for Advancing Translational Medicine in Bone & Joint Diseases, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong 999077, China. boris.g.guo@gmail.com.
Bing HeInstitute for Advancing Translational Medicine in Bone & Joint Diseases, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong 999077, China. hebinghb@gmail.com.
Cheng LuInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China. cheng0816@163.com.
Cheng XiaoInstitute of Clinical Medicine, China-Japan Friendship Hospital, Beijing 100029, China. xc2002812@126.com.
Zhongdi LiuInstitute for Advancing Translational Medicine in Bone & Joint Diseases, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong 999077, China. liuzhongdi1980@sina.com.
Ning ZhaoInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China. zhaon2003@163.com.
Zhaoxiang BianInstitute for Advancing Translational Medicine in Bone & Joint Diseases, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong 999077, China. bzxiang@hkbu.edu.hk.
Ge ZhangInstitute for Advancing Translational Medicine in Bone & Joint Diseases, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong 999077, China. zhangge@hkbu.edu.hk.
Weidong ZhangSchool of Pharmacy, Second Military Medical University, Shanghai 200433, China. wdzhangy@hotmail.com.
Xinru LiuSchool of Pharmacy, Second Military Medical University, Shanghai 200433, China. liuxinru@hotmail.co.uk.
Aiping LuInstitute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China. aipinglu@hkbu.edu.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Determining sensitive biomarkers in the peripheral blood to identify interstitial lung abnormalities (ILAs) is essential for the simple early diagnosis of ILAs. This study aimed to determine serum metabolic biomarkers of ILAs and the corresponding pathogenesis. Three groups of subjects undergoing health screening, including healthy subjects, subjects with ILAs, and subjects who were healthy initially and with ILAs one year later (Healthy→ILAs), were recruited for this study. The metabolic profiles of all of the subjects' serum were analyzed by liquid chromatography quadruple time-of-flight mass spectrometry. The metabolic characteristics of the ILAs subjects were discovered, and the corresponding biomarkers were predicted. The metabolomic data from the Healthy→ILAs subjects were collected for further verification. The results indicated that five serum metabolite alterations (up-regulated phosphatidylcholine, phosphatidic acid, betaine aldehyde and phosphatidylethanolamine, as well as down-regulated 1-acylglycerophosphocholine) were sensitive and reliable biomarkers for identifying ILAs. Perturbation of the corresponding biological pathways (RhoA signaling, mTOR/P70S6K signaling and phospholipase C signaling) might be at least partially responsible for the pathogenesis of ILAs. This study may provide a good template for determining the early diagnostic markers of subclinical disease status and for obtaining a better understanding of their pathogenesis.

Indexed as

AdolescentAdultAgedBiomarkersCase-Control StudiesChromatography, LiquidFemaleHumansLung Diseases, InterstitialMaleMass SpectrometryMetabolomicsMiddle AgedYoung AdultBiomarkersbiomarkersinterstitial lung abnormalitiesserum metabolic profiles

Identifiers

PMID27438829
PMCPMC4964521

What Socratic 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 Socratic graph.