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Record W4416443202 · doi:10.5376/jeb.2025.16.0022

The Energy Metabolic Function and Biosynthetic Role of the Pentose Phosphate Pathway

2025· article· W4416443202 on OpenAlexvenueno aff
Xinyi Fang, Gang Xu

Bibliographic record

VenueJournal of Energy Bioscience · 2025
Typearticle
Language
FieldMedicine
TopicBiomedical Research and Pathophysiology
Canadian institutionsnot available
Fundersnot available
KeywordsPentose phosphate pathwayGlycolysisOxidative phosphorylationCitric acid cycleMetabolismMetabolic pathwayNucleotideEnergy metabolismFunction (biology)

Abstract

fetched live from OpenAlex

The pentose phosphate pathway (PPP) is an important branch in cellular metabolism. It is not only related to energy metabolism but also responsible for biosynthesis. PPP has two parts. Oxidative branches can produce NADPH, which is used to maintain the REDOX balance within cells. It can also support the synthesis of fatty acids and cholesterol, and help cells resist oxidative stress. Non-oxidizing branches provide some raw materials, such as ribo5-phosphoric acid, for the synthesis of nucleotides and amino acids. PPP is closely related to pathways such as glycolysis and the tricarboxylic acid cycle. They will cooperate with each other and adjust at any time to meet the needs of cells in different situations. In recent years, studies have found that PPP is often abnormally regulated in diseases such as tumors and diabetes. Meanwhile, it also has great application value in the field of biotechnology. This article mainly reviews the role of PPP in energy metabolism and biosynthesis, and points out its significant importance in health, disease and bioengineering. Finally, we also put forward a goal: in the future, we will regulate PPP more precisely through systems biology and new technologies. Further in-depth research on the regulatory mechanism of PPP may provide new ideas for disease treatment and industrial production.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.246
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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