Evidence map›Paper›PMID 41365303›Full record

ArticleCell reports methods2026

A signature-protein-based approach for accurate and efficient profiling of the human gut virome.

Fangming Yang, Liwen Xiong, Min Li, Xuyang Feng, Huahui Ren, Zhun Shi, Huanzi Zhong, Junhua Li

Abstract read
In one paragraph

Article in Cell reports methods, 2026. 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. We need to talk about the virome.Microbiome research reports · 2026
    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

8 authors.

Fangming YangState Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen 518083, China.
Liwen XiongBGI Research, 11000 Belgrade, Serbia; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China; BGI Research, Hangzhou 310030, China.
Min LiBGI Research, 11000 Belgrade, Serbia.
Xuyang FengBGI Research, 11000 Belgrade, Serbia; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
Huahui RenBGI Genomics, Shenzhen 518083, China; Clin Lab, BGI Genomics, Harbin 150023, China.
Zhun ShiBGI Genomics, Shenzhen 518083, China; Clin Lab, BGI Genomics, Harbin 150023, China.
Huanzi ZhongBGI Genomics, Shenzhen 518083, China; Clin Lab, BGI Genomics, Harbin 150023, China. Electronic address: zhonghuanzi@genomics.cn.
Junhua LiState Key Laboratory of Genome and Multi-omics Technologies, BGI Research, Shenzhen 518083, China; BGI Research, 11000 Belgrade, Serbia; Shenzhen Key Laboratory of Unknown Pathogen Identification, BGI Research, Shenzhen 518083, China. Electronic address: lijunhua@genomics.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human gut virome represents a critical yet underexplored component that regulates bacterial communities and maintains gut health. However, virome analysis remains challenging due to the vast diversity and genomic variability. Existing profiling methods often struggle with accuracy and efficiency, hindering novel viral species detection and large-scale analyses. Here, we present signature-protein-based virome profiling (SinProVirP), a signature-protein-based genus-level virome profiling tool. By analyzing 275,202 phage genomes to establish a database of 109,221 signature proteins across 6,780 viral clusters (VCs), SinProVirP achieves genus-level phage quantification with accuracy comparable to the benchmark method while reducing computational demands by over 80%. Crucially, SinProVirP outperforms existing tools in detecting novel viruses, achieving over 80% recall. Applied to inflammatory bowel disease (IBD) cohorts, SinProVirP revealed disease-specific virome dysbiosis, identified high-confidence phage-host interactions, and improved the performance of bacteria-only disease classification models. SinProVirP enables robust cross-cohort virome analysis and improves our understanding of the virome's role in health.

Indexed as

Gastrointestinal MicrobiomeViral ProteinsViromeBacteriophagesDysbiosisGenome, ViralHumansInflammatory Bowel DiseasesViral ProteinsCP: computational biologyCP: microbiologyhuman gut viromesignature proteinvirome profiling

Identifiers

PMID41365303
PMCPMC12853188

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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.