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Record W3008496160 · doi:10.1016/j.jaim.2019.09.008

Protective role of Phyllanthus fraternus in alloxan-induced diabetes in rats

2020· article· en· W3008496160 on OpenAlexaff
Hasandeep Singh, Ripdaman Singh, Sarabjit Kaur, Rohit Arora, Rahul Mannan, Harpal S. Buttar, Saroj Arora, Balbir Singh

Bibliographic record

VenueJournal of Ayurveda and Integrative Medicine · 2020
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPhytochemistry and Bioactivity Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAlloxanTraditional medicineDiabetes mellitusPharmacologyMedicineChemistryEndocrinology

Abstract

fetched live from OpenAlex

BACKGROUND: Phyllanthusfraternus is a pantropical weed of family phyllanthaceae, mainly found in northeast India. It has been used in the folklore medicine of Manipur tribe for treating type 2 diabetes. OBJECTIVE: The present study was commenced to evaluate the anti-diabetic and renoprotective potential of P.fraternus (aerial parts) in alloxan-induced diabetes in rats. MATERIALS AND METHODS: Alloxan (130 mg/kg, ip) was used for the induction of diabetes in adult male wistar rats. Animals with blood glucose level greater than 280 mg/dL were treated once daily for 14 days with various test extracts. The biochemical parameters were measured from serum on the 15th day post-treatment. Necropsy samples harvested from pancreas and kidneys were examined for histopathological changes in these organs. RESULTS: Alloxan-induced diabetes not only caused significant increases in blood glucose, triglycerides, total cholesterol, creatinine and urea levels, but also provoked high oxidative stress in pancreas and kidneys. Profound morphological injuries were observed in islets of Langerhans and kidneys of diabetic animals. Administration of methanol extract (200 and 400 mg/kg) and mother liquor (200 and 400 mg/kg) ameliorate the elevated levels of blood glucose, triglycerides, total cholesterol as well as other biochemical parameters, but highest reduction in blood glucose concentration was observed with the largest dose of ethyl acetate fraction (400 mg/kg) of P.fraternus. Histopathological examination of pancreas and kidneys also exhibited greater protection by treatment with acetate fraction (400 mg/kg). The HPLC analysis showed the presence of four polyphenols such as catechin, gallic acid, caffeic acid and ellagic acid in ethyl acetate fraction of P. fraternus during HPLC analysis. CONCLUSION: The results suggest that polyphenols present in P.fraternus may be responsible for the anti-diabetic and renoprotective activity in rats. Such protective effects of could be mediated through flavonol-induced anti-oxidant and anti-inflammatory activities in the pancreas and kidneys.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
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
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.113
GPT teacher head0.412
Teacher spread0.299 · 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 designBench or experimental
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

Citations19
Published2020
Admission routes1
Has abstractyes

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