Evidence map›Paper›PMID 35773495›Full record

ArticleAnalytical and bioanalytical chemistry2022

Improved profiling of low molecular weight serum proteome for gastric carcinoma by data-independent acquisition.

Weifeng Li, Mengna Li, Xiaoli Zhang, Siqin Yue, Yun Xu, Wenjing Jian, Yin Qin, Lin Lin, Wenlan Liu

Abstract read
PubMed Publisher
In one paragraph

Article in Analytical and bioanalytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 49% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 2 institutions in 1 country.

Weifeng LiThe Central Laboratory, Shenzhen Second People's Hospital/the First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, China.
Mengna LiThe Central Laboratory, Shenzhen Second People's Hospital/the First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, China.
Xiaoli ZhangThe Central Laboratory, Shenzhen Second People's Hospital/the First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, China.
Siqin YueThe Central Laboratory, Shenzhen Second People's Hospital/the First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, China.
Yun XuThe Central Laboratory, Shenzhen Second People's Hospital/the First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, China.
Wenjing JianThe Central Laboratory, Shenzhen Second People's Hospital/the First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, China.
Yin QinDepartment of Gastrointestinal Surgery, Shenzhen Second People's Hospital/the First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, China. 1900pq@163.com.
Lin LinSustech Core Research Facilities, Southern University of Science and Technology, Shenzhen, 518055, China. linl@sustech.edu.cn.
Wenlan LiuThe Central Laboratory, Shenzhen Second People's Hospital/the First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, China. wlliu@szu.edu.cn.
Shenzhen Second People's Hospital · CNSouthern University of Science and Technology · CN

Funding

the National Natural Science Foundation of China Grant No. 22004086the National Natural Science Foundation of Guangdong Province Grant No. 2020A1515010576the National Natural Science Foundation of Guangdong Province No. 2018A0303100023the Shenzhen Basic Discipline Layout Project Grant No. JCYJ20210324115601005
6 · The paper itself

Abstract

Low molecular weight proteins (LMWPs) in the bloodstream participate in various biological processes and are closely associated with disease status, whereas identification of serous LMWPs remains a great technical challenge due to the wide dynamic range of protein components. In this study, we constructed an integrated LMWP library by combining the LMWPs obtained by three enrichment methods (50% ACN, 20% ACN + 20 mM ABC, and 30 kDa) and their fractions identified by the data-dependent acquisition method. With this newly constructed library, we comprehensively profiled LMWPs in serum using data-independent acquisition and reliably achieved quantitative results for 75% serous LMWPs. When applying this strategy to quantify LMWPs in human serum samples, we could identify 405 proteins on average per sample, of which 136 proteins were with a MW less than 30 kDa and 293 proteins were with a MW less than 65 kDa. Of note, pre- and post-operative gastric carcinoma (GC) patients showed differentially expressed serous LWMPs, which was also different from the pattern of LWMP expression in healthy controls. In conclusion, our results showed that LMWPs could efficiently distinguish GC patients from healthy controls as well as between pre- and post-operative statuses, and more importantly, our newly developed LMWP profiling platform could be used to discover candidate LMWP biomarkers for disease diagnosis and status monitoring.

Indexed as

CarcinomaStomach NeoplasmsHumansMolecular WeightProteomeSerumProteomeData-independent acquisition (DIA)Gastric carcinoma (GC)Low molecular weight proteins (LMWPs)Mass spectrometerQuantitative proteomics

Identifiers

PMID35773495
OpenAlexW4283740016

What Socratic holds

Textmetadata
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.