Evidence map›Paper›PMID 41171140›Full record

ArticleNucleic acids research2026

PRIME: a database for 16S rRNA microbiome data with phenotypic reference and comprehensive metadata.

Zhizhuo Zhang, Hongyu Zhao, Tao Wang

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Zhizhuo ZhangDepartment of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.
Hongyu ZhaoSJTU-Yale Joint Center for Biostatistics and Data Science, National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0003-1195-9607
Tao WangDepartment of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0002-1218-4017

Funding

Fundamental Research Funds for the Central UniversitiesNational Natural Science Foundation of ChinaNational Natural Science Foundation of China 12222111National Natural Science Foundation of China 12331009National Natural Science Foundation of China 12571306Shanghai Jiao Tong University
6 · The paper itself

Abstract

PRIME (Phenotypic Reference for Integrated Microbiome Enrichment) is a curated and standardized database of human microbiome 16S rRNA amplicon sequencing data, designed to facilitate cross-study analysis, reproducibility, and phenotype-driven discovery. PRIME aggregates 53 449 samples from 111 public studies, covering 93 body sites and 101 phenotypic categories, with detailed harmonization of sample-level metadata such as disease status, demographics, body sites, sequencing protocols, and experimental design. Each sample includes taxonomic abundance profiles generated via a consistent pipeline using both SILVA (138.2) and Greengenes2 (2024.09) reference databases, with results reported at multiple taxonomic levels as observed abundances (read counts) and relative abundances (proportions). A major strength of PRIME is its extensive manual curation, which standardizes phenotypic and contextual metadata across studies, enabling precise querying and robust phenotype-based comparisons. Users can interactively explore the database through a modern web interface, filter and visualize data by metadata fields, and download customized subsets. Programmatic access is supported via RESTful APIs and R package. PRIME aims to advance microbiome data integration and is continuously updated to incorporate new studies and features. The database is freely available at https://primedb.sjtu.edu.cn.

Indexed as

Databases, GeneticDatabases, Nucleic AcidMetadataMicrobiotaRNA, Ribosomal, 16SBacteriaHumansPhenotypeSoftwareRNA, Ribosomal, 16S

Identifiers

PMID41171140
PMCPMC12807763

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.