Evidence map›Paper›PMID 30598657›Full record

ArticleClinical proteomics2018

Proteomic analysis of serum proteins from HIV/AIDS patients with

Yahong Chen, Aiqiong Huang, Wen Ao, Zhengwu Wang, Jinjin Yuan, Qing Song, Dahai Wei, Hanhui Ye

Open access · goldAbstract read
In one paragraph

Article in Clinical proteomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 23 citations in OpenAlex.

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  11. Marek's Disease Virus Regulates the Ubiquitylome of Chicken CD4International journal of molecular sciences · 2019
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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

8 authors at 3 institutions in 1 country.

Yahong Chen1Mengchao Hepatobiliary Hospital of Fujian Medical University, 312 Xihong Road, Fuzhou, 350025 Fujian Province People's Republic of China.
Aiqiong Huang1Mengchao Hepatobiliary Hospital of Fujian Medical University, 312 Xihong Road, Fuzhou, 350025 Fujian Province People's Republic of China.
Wen Ao1Mengchao Hepatobiliary Hospital of Fujian Medical University, 312 Xihong Road, Fuzhou, 350025 Fujian Province People's Republic of China.
Zhengwu Wang1Mengchao Hepatobiliary Hospital of Fujian Medical University, 312 Xihong Road, Fuzhou, 350025 Fujian Province People's Republic of China.
Jinjin Yuan1Mengchao Hepatobiliary Hospital of Fujian Medical University, 312 Xihong Road, Fuzhou, 350025 Fujian Province People's Republic of China.
Qing Song5Shanxi Institute of Flexible Electronics, Northwestern Polytechnical University, 127 West Youyi Road, Xi'an, 710072 People's Republic of China.
Dahai Wei1Mengchao Hepatobiliary Hospital of Fujian Medical University, 312 Xihong Road, Fuzhou, 350025 Fujian Province People's Republic of China.
Hanhui Ye1Mengchao Hepatobiliary Hospital of Fujian Medical University, 312 Xihong Road, Fuzhou, 350025 Fujian Province People's Republic of China.
Fujian Medical University · CNMengchao Hepatobiliary Hospital · CNNorthwestern Polytechnical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background

methodsWe systematically used multiplexed isobaric tandem mass tag labeling combined with liquid chromatography mass spectrometry (LC-MS/MS) to screen for differentially expressed proteins in the serum samples from HIV/TM-coinfected patients.

resultsOf a total data set that included 1099 identified proteins, approximately 86% of the identified proteins were quantified. Among them, 123 proteins were at least 1.5-fold up-or downregulated in the serum between HIV/TM-coinfected and HIV-mono-infected patients. Furthermore, our results indicate that two selected proteins (IL1RL1 and THBS1) are potential biomarkers for distinguishing HIV/TM-coinfected patients.

conclusionsThis is the first report to provide a global proteomic profile of serum samples from HIV/TM-coinfected patients. Our data provide insights into the proteins that are involved as host response factors during infection. These data shed new light on the molecular mechanisms that are dysregulated and contribute to the pathogenesis of HIV/TM coinfection. IL1RL1 and THBS1 are promising diagnostic markers for HIV/TM-coinfected patients although further large-scale studies are needed. Thus, quantitative proteomic analysis revealed molecular differences between the HIV/TM-coinfected and HIV-mono-infected individuals, and might provide fundamental information for further detailed investigations.

Indexed as

HIV/AIDSIL1RL1Quantitative proteomicsTalaromyces marneffeiTHBS1

Identifiers

PMID30598657
PMCPMC6302400
OpenAlexW2906632654

What OpenQuestion holds

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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.