Evidence map›Paper›PMID 40584451›Full record

ArticleIranian journal of basic medical sciences2025

Porelis

Heggar Venkataramana Sudeep, Kuppam Sundeep, Karempudi Venkatakrishna, Amrutha Raj, Ranganath Bhumika, Thammatadhahalli Parameshwarappa Prasanna Kumar, Kodimule Shyamprasad

Abstract read
In one paragraph

Article in Iranian journal of basic medical sciences, 2025. 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

7 authors.

Heggar Venkataramana SudeepR&D Center for Excellence, Vidya Herbs Pvt Ltd., #14A, Jigani I phase, Bangalore- 560 105, Karnataka, India.
Kuppam SundeepR&D Center for Excellence, Vidya Herbs Pvt Ltd., #14A, Jigani I phase, Bangalore- 560 105, Karnataka, India.
Karempudi VenkatakrishnaR&D Center for Excellence, Vidya Herbs Pvt Ltd., #14A, Jigani I phase, Bangalore- 560 105, Karnataka, India.
Amrutha RajR&D Center for Excellence, Vidya Herbs Pvt Ltd., #14A, Jigani I phase, Bangalore- 560 105, Karnataka, India.
Ranganath BhumikaR&D Center for Excellence, Vidya Herbs Pvt Ltd., #14A, Jigani I phase, Bangalore- 560 105, Karnataka, India.
Thammatadhahalli Parameshwarappa Prasanna KumarR&D Center for Excellence, Vidya Herbs Pvt Ltd., #14A, Jigani I phase, Bangalore- 560 105, Karnataka, India.
Kodimule ShyamprasadR&D Center for Excellence, Vidya Herbs Pvt Ltd., #14A, Jigani I phase, Bangalore- 560 105, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Purple tea variety of Materials and Methods: Male C57BL/6 mice (20±2 g) were divided into five groups (n=8). In a 12-week study, the control group was given a normal diet, and the other groups were given HFD (60 % kcal from fat) for 12 weeks. The treatment groups received Porelis at 25, 50, and 100 mg/kg body weight, PO. Results: Porelis treatment markedly reduced the body weight, fat pad weights, hepatic lipid accumulation, and oxidative stress in the HFD mice. The adipogenic markers, CCAAT/enhancer binding protein alpha (C/EBPα), Peroxisome proliferator-activated receptor gamma (PPAR-γ), and Sterol Regulatory Element Binding Protein 1 (SREBP1) were down-regulated in Porelis-treated mice compared to HFD model group ( Conclusion: Porelis exerts antiobesity activity in mice by regulating adipogenesis and energy homeostasis. Our data encourages further validation of Porelis-mediated weight loss effects in human subjects.

Indexed as

Adipocyte differentiationGHGLeptinPurple teaWeight loss

Identifiers

PMID40584451
PMCPMC12203826

What OpenQuestion holds

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Registered trials

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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.