Evidence map›Paper›PMID 38605904›Full record

ArticlePhenomics (Cham, Switzerland)2024

Analysis of the Immune Response by Standardized Whole-Blood Stimulation with Metabolism Modulation.

Jialin Zhao, Xuling Han, Helian Li, Yali Luo, Yan Fang, Yun Wang, Jian Gao, Yiran Zhao, Jingxuan Han, Feng Qian

Open access · greenAbstract read
In one paragraph

Article in Phenomics (Cham, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Jialin ZhaoState Key Laboratory of Genetic Engineering, Shanghai Public Health Clinical Center, Human Phenome Institute, Zhangjiang Fudan International Innovation Center and School of Life Sciences, Fudan University, Shanghai, 200438 China.ORCID 0000-0002-1165-8911
Xuling HanState Key Laboratory of Genetic Engineering, Shanghai Public Health Clinical Center, Human Phenome Institute, Zhangjiang Fudan International Innovation Center and School of Life Sciences, Fudan University, Shanghai, 200438 China.ORCID 0000-0002-7995-1479
Helian LiState Key Laboratory of Genetic Engineering, Shanghai Public Health Clinical Center, Human Phenome Institute, Zhangjiang Fudan International Innovation Center and School of Life Sciences, Fudan University, Shanghai, 200438 China.ORCID 0000-0001-7701-6826
Yali LuoState Key Laboratory of Genetic Engineering, Shanghai Public Health Clinical Center, Human Phenome Institute, Zhangjiang Fudan International Innovation Center and School of Life Sciences, Fudan University, Shanghai, 200438 China.ORCID 0000-0001-7657-6207
Yan FangState Key Laboratory of Genetic Engineering, Shanghai Public Health Clinical Center, Human Phenome Institute, Zhangjiang Fudan International Innovation Center and School of Life Sciences, Fudan University, Shanghai, 200438 China.ORCID 0000-0002-0187-221X
Yun WangState Key Laboratory of Genetic Engineering, Shanghai Public Health Clinical Center, Human Phenome Institute, Zhangjiang Fudan International Innovation Center and School of Life Sciences, Fudan University, Shanghai, 200438 China.ORCID 0009-0003-9420-9875
Jian GaoState Key Laboratory of Genetic Engineering, Shanghai Public Health Clinical Center, Human Phenome Institute, Zhangjiang Fudan International Innovation Center and School of Life Sciences, Fudan University, Shanghai, 200438 China.ORCID 0000-0002-9163-1152
Yiran ZhaoState Key Laboratory of Genetic Engineering, Shanghai Public Health Clinical Center, Human Phenome Institute, Zhangjiang Fudan International Innovation Center and School of Life Sciences, Fudan University, Shanghai, 200438 China.ORCID 0000-0001-6543-561X
Jingxuan HanState Key Laboratory of Genetic Engineering, Shanghai Public Health Clinical Center, Human Phenome Institute, Zhangjiang Fudan International Innovation Center and School of Life Sciences, Fudan University, Shanghai, 200438 China.ORCID 0000-0002-2138-9647
Feng QianState Key Laboratory of Genetic Engineering, Shanghai Public Health Clinical Center, Human Phenome Institute, Zhangjiang Fudan International Innovation Center and School of Life Sciences, Fudan University, Shanghai, 200438 China.ORCID 0000-0002-2312-5936
Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The immune system defends the body from infection and plays a vital role in a wide range of health conditions. Metabolism affects a series of physiological processes, including those linked to the function of human immune system. Cellular metabolism modulates immune cell activation and cytokine production. Understanding the relationship between metabolism and immune response has important implications for the development of immune-based therapeutics. However, the deployment of large-scale functional assays to investigate the metabolic regulation of immune response has been limited by the lack of standardized procedures. Here, we present a protocol for the analysis of immune response using standardized whole-blood stimulation with metabolism modulation. Diverse immune stimuli including pattern recognition receptor (PRR) ligands and microbial stimuli were incubated with fresh human whole blood. The metabolic inhibitors were used to modulate metabolic status in the immune cells. The variable immune responses after metabolic interventions were evaluated. We described in detail the main steps involved in the whole-blood stimulation and cytokines quantification, namely, collection and treatment of whole blood, preparation of samples and controls, cytokines detection, and stimulation with metabolic interventions. The metabolic inhibitors for anabolic pathways and catabolic pathways exert selective effects on the production of cytokines from immune cells. In addition to a robust and accurate assessment of immune response in cohort studies, the standardized whole-blood stimulation with metabolic regulation might provide new insights for modulating immunity. Supplementary Information: The online version contains supplementary material available at 10.1007/s43657-023-00114-0.

Indexed as

CytokinesImmune responseImmunometabolismWhole blood stimulation

Identifiers

PMID38605904
PMCPMC11003932
OpenAlexW4386639340

What OpenQuestion 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 OpenQuestion graph.