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Record W4402282518 · doi:10.26599/fmh.2025.9420029

Protective benefits and mechanisms of <i>Phyllanthus emblica</i> Linn. on aging induced by oxidative stress: a system review

2024· review· en· W4402282518 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFood & medicine homology. · 2024
Typereview
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPhytochemistry and Bioactivity Studies
Canadian institutionsMemorial University of Newfoundland
FundersYouth Science Foundation of Jiangxi ProvinceHealth Commission of Jiangxi Province
KeywordsPhyllanthus emblicaOxidative stressChemistryTraditional medicineMedicinePharmacologyBiochemistry

Abstract

fetched live from OpenAlex

This review clarified the nutritional value of <i>Phyllanthus emblica</i> Linn. (PE) and summarized its application prospect as a health food which show anti-aging effects. This review highlighted the latest researches of PE to describe its anti-aging mechanism and related diseases induced by oxidative stress, as well as existing problems and future application directions. In general, PE is a fruit widely consumed in south of Asia, as well as one of the three medicinal plants been selected by the World Health Organization (WHO) for widespread cultivation. Polyphenols (including phenolics, flavonoid, tannins, etc.) are the main bioactive components in PE. Those bioactive compounds show anti-aging effects through scavenging free radicals, preventing mitochondrial damage, anti-triggering lipid peroxidation, and protecting protein structures. The development and research of nutritional foods derived from PE are limited, with most efforts focused on edible fruits and juice beverages. However, there is still significant potential for further high-value utilization of its nutritional properties focus on PE.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.591
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.179
GPT teacher head0.449
Teacher spread0.271 · 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