Evidence map›Paper›PMID 36677591›Full record

ArticleMolecules (Basel, Switzerland)2023

Nutrigenomic Effects of White Rice and Brown Rice on the Pathogenesis of Metabolic Disorders in a Fruit Fly Model.

Saheed Olanrewaju Saka, Yusuf Yahaya Salisu, Hauwa'u Muhammad Sahabi, Kamaldeen Olalekan Sanusi, Kasimu Ghandi Ibrahim, Murtala Bello Abubakar, Suleiman Ahmed Isa, Muhammad Gidado Liman, Sha'aya'u Shehu, Ibrahim Malami and 3 more

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Nutritional Profiles ofFoods (Basel, Switzerland) · 2023
    Article
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

13 authors at 4 institutions in 3 countries.

Saheed Olanrewaju SakaCentre for Advanced Medical Research and Training, Usmanu Danfodiyo University, Sokoto P.M.B. 2254, Nigeria.ORCID 0000-0002-8201-4363
Yusuf Yahaya SalisuCentre for Advanced Medical Research and Training, Usmanu Danfodiyo University, Sokoto P.M.B. 2254, Nigeria.ORCID 0000-0002-3770-7187
Hauwa'u Muhammad SahabiCentre for Advanced Medical Research and Training, Usmanu Danfodiyo University, Sokoto P.M.B. 2254, Nigeria.
Kamaldeen Olalekan SanusiCentre for Advanced Medical Research and Training, Usmanu Danfodiyo University, Sokoto P.M.B. 2254, Nigeria.ORCID 0000-0002-9588-7710
Kasimu Ghandi IbrahimCentre for Advanced Medical Research and Training, Usmanu Danfodiyo University, Sokoto P.M.B. 2254, Nigeria.ORCID 0000-0002-2119-580X
Murtala Bello AbubakarCentre for Advanced Medical Research and Training, Usmanu Danfodiyo University, Sokoto P.M.B. 2254, Nigeria.ORCID 0000-0001-7666-4776
Suleiman Ahmed IsaDepartment of Biochemistry and Molecular Biology, Faculty of Science, Usmanu Danfodiyo University, Sokoto P.M.B. 2346, Nigeria.
Muhammad Gidado LimanDepartment of Pure and Applied Chemistry, Faculty of Science, Usmanu Danfodiyo University, Sokoto P.M.B. 2346, Nigeria.
Sha'aya'u ShehuDepartment of Biochemistry and Molecular Biology, Faculty of Science, Usmanu Danfodiyo University, Sokoto P.M.B. 2346, Nigeria.ORCID 0000-0002-2467-6246
Ibrahim MalamiCentre for Advanced Medical Research and Training, Usmanu Danfodiyo University, Sokoto P.M.B. 2254, Nigeria.
Kim Wei ChanNatural Medicines and Products Research Laboratory, Institute of Bioscience, Universiti Putra Malaysia, UPM, Serdang 43400, Selangor, Malaysia.ORCID 0000-0003-3028-0800
Nur Hanisah AzmiFaculty of Food Science and Nutrition, Universiti Malaysia Sabah, Kota Kinabalu 88400, Sabah, Malaysia.ORCID 0000-0003-4184-7585
Mustapha Umar ImamCentre for Advanced Medical Research and Training, Usmanu Danfodiyo University, Sokoto P.M.B. 2254, Nigeria.ORCID 0000-0001-9888-4809
Usmanu Danfodiyo University · NGUniversiti of Malaysia Sabah · MYUniversiti Putra Malaysia · MYZarqa University · JO

Funding

Tertiary Education Trust Fund (TETFUND) TETF/ DR&D/CE/UNIV/SOKOTO/IBR/2016/VOL.1
6 · The paper itself

Abstract

Consumption of white rice (WR) has been shown to predispose individuals to metabolic disorders. However, brown rice (BR), which is relatively richer in bioactive compounds, possesses anti-glycaemic and antioxidant effects. In this study, fifteen cultivars of paddy rice that are predominantly consumed in North West Nigeria were analysed for their nutritional composition, bioactive contents and effects on metabolic outcomes in a fruit fly model. Gene expression analyses were conducted on the whole fly, targeting dPEPCK, dIRS, and dACC. The protein, carbohydrate, and fibre contents and bioactives of all BR cultivars were significantly different (p < 0.05) from the WR cultivars. Moreover, it was demonstrated that the glucose and trehalose levels were significantly higher (p < 0.05), while glycogen was significantly lower (p < 0.05) in the WR groups compared to the BR groups. Similarly, the expression of dACC and dPEPCK was upregulated, while that of dIRS was downregulated in the WR groups compared to the BR groups. Sex differences (p < 0.05) were observed in the WR groups in relation to the nutrigenomic effects. Our findings confirm metabolic perturbations in fruit flies following consumption of WR via distortion of insulin signalling and activation of glycogenolysis and gluconeogenesis. BR prevented these metabolic changes possibly due to its richer nutritional composition.

Indexed as

Metabolic DiseasesOryzaAnimalsBlood GlucoseDrosophilaInsulinNutrigenomicsBlood GlucoseInsulinbrown ricedACCdIRSdPEPCKfruit flyinsulin resistancemetabolic syndromeobesityoxidative stresswhite rice

Identifiers

PMID36677591
PMCPMC9865196
OpenAlexW4313571734

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.