Evidence map›Paper›PMID 41330950›Full record

ArticleScientific data2025

NSPOMdb: a curated dataset of the objectionable microorganisms of non-sterile products.

Yanxiang Shen, Minghui Song, Yangtai Liu, Wenbin Zhu, Cui Tai, Hong Shao, Meicheng Yang, Yiling Fan, Hong-Yu Ou

Abstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Yanxiang Shen *State Key Laboratory of Microbial Metabolism, Joint International Laboratory on Metabolic & Developmental Sciences, School of Life Sciences & Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Minghui Song *NMPA Key Laboratory for Testing Technology of Pharmaceutical Microbiology, Shanghai Quality Inspection and Testing Center for Innovative Biological Products, Shanghai Institute for Food and Drug Control, Shanghai, 201203, China.
Yangtai LiuSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
Wenbin ZhuState Key Laboratory of Microbial Metabolism, Joint International Laboratory on Metabolic & Developmental Sciences, School of Life Sciences & Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Cui TaiState Key Laboratory of Microbial Metabolism, Joint International Laboratory on Metabolic & Developmental Sciences, School of Life Sciences & Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China.
Hong ShaoNMPA Key Laboratory for Testing Technology of Pharmaceutical Microbiology, Shanghai Quality Inspection and Testing Center for Innovative Biological Products, Shanghai Institute for Food and Drug Control, Shanghai, 201203, China.
Meicheng YangShanghai Center for Drug Evaluation and Inspection, Shanghai, 201203, China.
Yiling FanNMPA Key Laboratory for Testing Technology of Pharmaceutical Microbiology, Shanghai Quality Inspection and Testing Center for Innovative Biological Products, Shanghai Institute for Food and Drug Control, Shanghai, 201203, China. tcfyl@163.com.
Hong-Yu OuState Key Laboratory of Microbial Metabolism, Joint International Laboratory on Metabolic & Developmental Sciences, School of Life Sciences & Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, China. hyou@sjtu.edu.cn.ORCID http://orcid.org/0000-0001-9439-1660

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32370186
6 · The paper itself

Abstract

Microbial contamination in non-sterile products (NSPs) presents significant risks to product quality and patient safety. While established regulatory standards delineate specific objectionable microorganisms (OMs), instances of product recalls have revealed broader contaminants requiring examination. Existing pharmacopeial guidelines address a limited number of test organisms, highlighting deficiencies in risk assessment practices. We present the Non-Sterile Product Objectionable Microorganism Dataset (NSPOMdb), which integrates recall data, microbiological characteristics, and risk analysis tools to facilitate the identification and evaluation of potential OMs. This dataset encompasses 1,360 NSP historical recall events and presents a curated list of 89 potential OMs. Each OM entry includes comprehensive annotations on morphological, physiological, biochemical, genomic, and risk-related features. Genomic analysis of 39,626 OM sequences revealed widespread resistance and virulence genes among common contaminants. Furthermore, NSPOMdb provides an online tool ARG-VFG-finder for predicting antimicrobial resistance and virulence genes. NSPOMdb offers a practical framework for improving microbial risk management in the NSP industry.

Indexed as

BacteriaEquipment Contamination

Identifiers

PMID41330950
PMCPMC12816050

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.