Evidence map›Paper›PMID 40624071›Full record

ReviewNPJ systems biology and applications2025

Genome-scale metabolic model-guided systematic framework for designing customized live biotherapeutic products.

Yi Qing Lee, Yoon-Mi Choi, Seo-Young Park, Su-Kyung Kim, Minouk Lee, Dongseok Kim, Lokanand Koduru, Meiyappan Lakshmanan, Sangyong Jung, Mi Jin Kim and 2 more

Abstract readReview
In one paragraph

Review in NPJ systems biology and applications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. NontoxigenicMicroorganisms · 2026
    Review
  5. Review
  6. Article
  7. Genomic exploration andFrontiers in bioinformatics · 2026
    Article
  8. ModellingCurrent research in microbial sciences · 2026
    Article
  9. Review
  10. 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

12 authors.

Yi Qing LeeSchool of Chemical Engineering, Sungkyunkwan University, Suwon, Republic of Korea.
Yoon-Mi ChoiSchool of Chemical Engineering, Sungkyunkwan University, Suwon, Republic of Korea.
Seo-Young ParkSchool of Chemical Engineering, Sungkyunkwan University, Suwon, Republic of Korea.
Su-Kyung KimSchool of Chemical Engineering, Sungkyunkwan University, Suwon, Republic of Korea.
Minouk LeeSchool of Chemical Engineering, Sungkyunkwan University, Suwon, Republic of Korea.
Dongseok KimSchool of Chemical Engineering, Sungkyunkwan University, Suwon, Republic of Korea.
Lokanand KoduruChr. Hansen A/S, Hørsholm, Denmark.
Meiyappan LakshmananDepartment of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Chennai, India.
Sangyong JungDepartment of Medical Science, School of Medicine, CHA University, Seongnam, Republic of Korea.
Mi Jin KimDepartment of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Yon Ho ChoeDepartment of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Dong-Yup LeeSchool of Chemical Engineering, Sungkyunkwan University, Suwon, Republic of Korea. dongyuplee@skku.edu.

Funding

Korea Institute of Planning and Evaluation for Technology in Food, Agriculture, Forestry and Fisheries 32136-05-1-HD050Ministry of Science and ICT, South Korea 2021-DD-UP-0369Ministry of Science and ICT, South Korea RS-2024-00351458
6 · The paper itself

Abstract

For the successful development of live biotherapeutic products (LBPs), which are promising microbiome-based therapeutics, it is required to rigorously evaluate their quality, safety, and efficacy. To this end, we present a model-guided framework where genome-scale metabolic models (GEMs) can be exploited for characterizing LBP candidate strains and their metabolic interactions with adjacent microbiome and host cells at a systems level. In this perspective, we outline a GEM-based strategy for screening, assessment, and design of personalized multi-strain LBPs.

Indexed as

Biological ProductsHumansMicrobiotaModels, BiologicalPrecision MedicineBiological Products

Identifiers

PMID40624071
PMCPMC12234829

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.