Evidence map›Paper›PMID 37360105›Full record

ArticleHeliyon2023

Interferon-gamma FlowSpot assay for the measurement of the T-cell response to cytomegalovirus.

Qianyu Ye, Jiali Wang, Meijing Chen, Weijian Nie, Huanxi Zhang, Xiaojun Su, Liuting Ling, Xiangjun Liu, Longshan Liu, Changxi Wang and 1 more

Abstract read
In one paragraph

Article in Heliyon, 2023. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Qianyu YeOrgan Transplantation Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Jiali WangDepartment of Nephrology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Meijing ChenGuangzhou BFR Gene Dignostics, Guangzhou, China.
Weijian NieOrgan Transplantation Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Huanxi ZhangOrgan Transplantation Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Xiaojun SuOrgan Transplantation Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Liuting LingOrgan Transplantation Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Xiangjun LiuBeijing BFR Gene Diagnostics, Beijing, China.
Longshan LiuOrgan Transplantation Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Changxi WangOrgan Transplantation Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
Yifang GaoOrgan Transplantation Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: We describe a new method, FlowSpot, to assess CMV-specific T-cell response by quantification of interferon-gamma (IFN-γ). CMV-specific, T-cell-released IFN-γ was captured by flow beads and measured via flow cytometry. In the present study, we used FlowSpot to assess CMV-specific T-cell response in healthy individuals. The FlowSpot results were compared with those of serological analysis and enzyme-linked immunospot (ELISpot) assay. Methods: Experimental results and parameter analysis were investigated by using serological, ELISpot, and FlowSpot assays. Results: The levels of IFN-γ, which is released from CMV-specific T-cells, were measured, and the results and parameter analysis showed a good correlation between FlowSpot and ELISpot. However, FlowSpot was more sensitive and better reflected the strength of IFN-γ secretion than did ELISpot. Conclusions: Compared to ELISpot, FlowSpot has a high sensitivity and is cost and time effective. Thus, this method can be used in wider clinical and scientific applications.

Indexed as

CMV-Specific T-cellsELISpotFlowSpotIFN-γSerologic analysis

Identifiers

PMID37360105
PMCPMC10285093

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.