Evidence map›Paper›PMID 38152123›Full record

ArticleComputational and structural biotechnology journal2023

Single-cell and spatiotemporal transcriptomic analyses reveal the effects of microorganisms on immunity and metabolism in the mouse liver.

Ruizhen Zhao, Wei Cheng, Juan Shen, Weiming Liang, Zhao Zhang, Yifei Sheng, Tailiang Chai, Xueting Chen, Yin Zhang, Xiang Huang and 9 more

Open access · goldAbstract read
In one paragraph

Article in Computational and structural biotechnology journal, 2023. 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
1.1field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 7 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

19 authors at 5 institutions in 1 country.

Ruizhen ZhaoCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
Wei ChengCollege of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan 430070, China.
Juan ShenBGI-Shenzhen, Shenzhen 518083, China.
Weiming LiangBGI-Shenzhen, Shenzhen 518083, China.
Zhao ZhangCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
Yifei ShengCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
Tailiang ChaiCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
Xueting ChenCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
Yin ZhangCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
Xiang HuangCollege of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
Huanjie YangBGI-Shenzhen, Shenzhen 518083, China.
Chunqing SongKey Laboratory of Growth Regulation and Translational Research of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang 310024, China.
Li PangBGI-Qingdao, BGI-Shenzhen, Qingdao 266555, China.
Cuoji NanBGI-Shenzhen, Shenzhen 518083, China.
Yangrui ZhangBGI-Sanya, BGI-Shenzhen, Sanya 572025, China.
Rouxi ChenBGI-Sanya, BGI-Shenzhen, Sanya 572025, China.
Junpu MeiBGI-Shenzhen, Shenzhen 518083, China.
Hong WeiPrecision Medicine Institute, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510080, China.
Xiaodong FangBGI-Shenzhen, Shenzhen 518083, China.
BGI Group (China) · CNHuazhong Agricultural University · CNSun Yat-sen University · CNUniversity of Chinese Academy of Sciences · CNWestlake University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The gut-liver axis is a complex bidirectional communication pathway between the intestine and the liver in which microorganisms and their metabolites flow from the intestine through the portal vein to the liver and influence liver function. In a sterile environment, the phenotype or function of the liver is altered, but few studies have investigated the specific cellular and molecular effects of microorganisms on the liver. To this end, we constructed single-cell and spatial transcriptomic (ST) profiles of germ-free (GF) and specific-pathogen-free (SPF) mouse livers. Single-cell RNA sequencing (scRNA-seq) and single-nucleus RNA sequencing (snRNA-seq) revealed that the ratio of most immune cells was altered in the liver of GF mice; in particular, natural killer T (NKT) cells, IgA plasma cells (IgAs) and Kupffer cells (KCs) were significantly reduced in GF mice. Spatial enhanced resolution omics sequencing (Stereo-seq) confirmed that microorganisms mediated the accumulation of Kupffer cells in the periportal zone. Unexpectedly, IgA plasma cells were more numerous and concentrated in the periportal vein in liver sections from SPF mice but less numerous and scattered in GF mice. ST technology also enables the precise zonation of liver lobules into eight layers and three patterns based on the gene expression level in each layer, allowing us to further investigate the effects of microbes on gene zonation patterns and functions. Furthermore, untargeted metabolism experiments of the liver revealed that the propionic acid levels were significantly lower in GF mice, and this reduction may be related to the control of genes involved in bile acid and fatty acid metabolism. In conclusion, the combination of sc/snRNA-seq, Stereo-seq, and untargeted metabolomics revealed immune system defects as well as altered bile acid and lipid metabolic processes at the single-cell and spatial levels in the livers of GF mice. This study will be of great value for understanding host-microbiota interactions.

Indexed as

Germ-free miceGut-liver axisImmune cellLiver zonationMetabolismMicrobiotaStereo-seq & sc/snRNA-seq

Identifiers

PMID38152123
PMCPMC10751235
OpenAlexW4382786497

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.