Evidence map›Paper›PMID 42519891›Full record

ReviewComprehensive reviews in food science and food safety2026

Bridging Biosynthesis and Bioavailability: Integrated Strategies for Tailoring Soybean Isoflavone Profiles.

Bowen Qin, Muhammad Bilal, Yiting Wang, Chenqi Gu, Tao Li, Pei Wang, Chong Xie, Zhijie Yao, Runqiang Yang

Abstract readReview
In one paragraph

Review in Comprehensive reviews in food science and food safety, 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

9 authors.

Bowen QinWhole Grain Food Engineering Research Center, College of Food Science and Technology, Sanya Institute, Nanjing Agricultural University, Nanjing, Jiangsu, People's Republic of China.
Muhammad BilalWhole Grain Food Engineering Research Center, College of Food Science and Technology, Sanya Institute, Nanjing Agricultural University, Nanjing, Jiangsu, People's Republic of China.ORCID https://orcid.org/0009-0008-5749-5338
Yiting WangWhole Grain Food Engineering Research Center, College of Food Science and Technology, Sanya Institute, Nanjing Agricultural University, Nanjing, Jiangsu, People's Republic of China.
Chenqi GuWhole Grain Food Engineering Research Center, College of Food Science and Technology, Sanya Institute, Nanjing Agricultural University, Nanjing, Jiangsu, People's Republic of China.
Tao LiWhole Grain Food Engineering Research Center, College of Food Science and Technology, Sanya Institute, Nanjing Agricultural University, Nanjing, Jiangsu, People's Republic of China.
Pei WangWhole Grain Food Engineering Research Center, College of Food Science and Technology, Sanya Institute, Nanjing Agricultural University, Nanjing, Jiangsu, People's Republic of China.ORCID https://orcid.org/0000-0002-9385-3218
Chong XieWhole Grain Food Engineering Research Center, College of Food Science and Technology, Sanya Institute, Nanjing Agricultural University, Nanjing, Jiangsu, People's Republic of China.ORCID https://orcid.org/0000-0002-7790-4986
Zhijie YaoWhole Grain Food Engineering Research Center, College of Food Science and Technology, Sanya Institute, Nanjing Agricultural University, Nanjing, Jiangsu, People's Republic of China.
Runqiang YangWhole Grain Food Engineering Research Center, College of Food Science and Technology, Sanya Institute, Nanjing Agricultural University, Nanjing, Jiangsu, People's Republic of China.ORCID https://orcid.org/0000-0002-0191-6315

Funding

Hainan Provincial Natural Science Foundation of China 324CXTD427Natural Science Foundation of China 32472261Priority Academic Program Development Initiative of Jiangsu Higher Education Institutions (PAPD)
6 · The paper itself

Abstract

Soybean isoflavones (SIs) are pivotal bioactive targets in the growing plant-based functional food market due to their selective estrogen receptor modulator (SERM)-like properties. However, a significant disparity remains between agricultural SI accumulation and ultimate physiological efficacy, constrained by the yield-metabolism genetic antagonism "linkage drag" and the "dual-cage" matrix entrapment barrier. This review establishes an operationalized seed-to-table framework to bridge these gaps through precise profile tailoring. We critically evaluate upstream genetic interventions (e.g., CRISPR/Cas9-mediated flux redirection) and downstream processing (e.g., biotransformation, physical-field intensification, and green solvent engineering). A novel, evidence-based key performance indicator (KPI) matrix is introduced to benchmark these technologies against standardized technology readiness levels (TRLs), economic burden (CapEx/OpEx), and systemic trade-offs. Crucially, we reframe SI bioavailability by accounting for Phase II metabolism, emphasizing that aglycone enrichment optimizes pharmacokinetic consistency and absorption kinetics rather than absolute systemic exposure. By integrating human clinical evidence and safety considerations for vulnerable populations (e.g., ER+ breast cancer survivors), this work bridges the persistent validation gap between laboratory innovation and clinical outcomes. Finally, we outline a paradigm shift toward AI-driven digital twins and host metabotyping to resolve the sensory-bioactivity paradox, providing a scientific roadmap for the rational design of next-generation isoflavone-fortified soy foods.

Indexed as

Glycine maxIsoflavonesBiological AvailabilityHumansIsoflavonesbioavailabilitybiotransformationmatrix decoctionprecision nutritionseed‐to‐table integrationsoybean isoflavones

Identifiers

PMID42519891
PMCPMC13411689

What OpenQuestion holds

Textmetadata
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.