Evidence map›Paper›PMID 33664777›Full record

ArticleEvolutionary applications2021

Genomic adaptations to cereal-based diets contribute to mitigate metabolic risk in some human populations of East Asian ancestry.

Arianna Landini, Shaobo Yu, Guido Alberto Gnecchi-Ruscone, Paolo Abondio, Claudia Ojeda-Granados, Stefania Sarno, Sara De Fanti, Davide Gentilini, Anna Maria Di Blasio, Hanjun Jin and 7 more

Open access · goldAbstract read
In one paragraph

Article in Evolutionary applications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

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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

17 authors at 9 institutions in 7 countries.

Arianna LandiniLaboratory of Molecular Anthropology & Centre for Genome Biology Department of Biological, Geological and Environmental Sciences University of Bologna Bologna Italy.
Shaobo YuLaboratory of Molecular Anthropology & Centre for Genome Biology Department of Biological, Geological and Environmental Sciences University of Bologna Bologna Italy.
Guido Alberto Gnecchi-RusconeDepartment of Archaeogenetics Max Planck Institute for the Science of Human History Jena Germany.
Paolo AbondioLaboratory of Molecular Anthropology & Centre for Genome Biology Department of Biological, Geological and Environmental Sciences University of Bologna Bologna Italy.
Claudia Ojeda-GranadosLaboratory of Molecular Anthropology & Centre for Genome Biology Department of Biological, Geological and Environmental Sciences University of Bologna Bologna Italy.
Stefania SarnoLaboratory of Molecular Anthropology & Centre for Genome Biology Department of Biological, Geological and Environmental Sciences University of Bologna Bologna Italy.
Sara De FantiInterdepartmental Centre Alma Mater Research Institute on Global Challenges and Climate Change University of Bologna Bologna Italy.
Davide GentiliniDepartment of Brain and Behavioral Sciences University of Pavia Pavia Italy.
Anna Maria Di BlasioItalian Auxologic Institute IRCCS Cusano Milanino, Milan Italy.
Hanjun JinDepartment of Biological Sciences College of Natural Science Dankook University Cheonan South Korea.
Thanh Tin NguyenHue University of Medicine and Pharmacy Hue Vietnam.
Giovanni RomeoMedical Genetics Unit S. Orsola Hospital University of Bologna Bologna Italy.
Cecilia PrataDepartment of Pharmacy and Biotechnology University of Bologna Bologna Italy.
Eugenio BortoliniDepartment of Cultural Heritage University of Bologna Ravenna Italy.
Donata LuiselliDepartment of Cultural Heritage University of Bologna Ravenna Italy.
Davide PettenerLaboratory of Molecular Anthropology & Centre for Genome Biology Department of Biological, Geological and Environmental Sciences University of Bologna Bologna Italy.
Marco SazziniLaboratory of Molecular Anthropology & Centre for Genome Biology Department of Biological, Geological and Environmental Sciences University of Bologna Bologna Italy.ORCID https://orcid.org/0000-0001-5382-7827
University of Bologna · ITCentre for Global Health Research · CADankook University · KRHue University · VNIRCCS Azienda Ospedliero-Universitaria di Bologna Policlinico di Sant'Orsola · ITIRCCS Istituto Auxologico Italiano · ITMax Planck Institute for the Science of Human History · DEUniversidad de Guadalajara · MXUniversity of Pavia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adoption of diets based on some cereals, especially on rice, signified an iconic change in nutritional habits for many Asian populations and a relevant challenge for their capability to maintain glucose homeostasis. Indeed, rice shows the highest carbohydrates content and glycemic index among the domesticated cereals and its usual ingestion represents a potential risk factor for developing insulin resistance and related metabolic diseases. Nevertheless, type 2 diabetes and obesity epidemiological patterns differ among Asian populations that rely on rice as a staple food, with higher diabetes prevalence and increased levels of central adiposity observed in people of South Asian ancestry rather than in East Asians. This may be at least partly due to the fact that populations from East Asian regions where wild rice or other cereals such as millet have been already consumed before their cultivation and/or were early domesticated have relied on these nutritional resources for a period long enough to have possibly evolved biological adaptations that counteract their detrimental side effects. To test such a hypothesis, we compared adaptive evolution of these populations with that of control groups from regions where the adoption of cereal-based diets occurred many thousand years later and which were identified from a genome-wide dataset including 2,379 individuals from 124 East Asian and South Asian populations. This revealed selective sweeps and polygenic adaptive mechanisms affecting functional pathways involved in fatty acids metabolism, cholesterol/triglycerides biosynthesis from carbohydrates, regulation of glucose homeostasis, and production of retinoic acid in Chinese Han and Tujia ethnic groups, as well as in people of Korean and Japanese ancestry. Accordingly, long-standing rice- and/or millet-based diets have possibly contributed to trigger the evolution of such biological adaptations, which might represent one of the factors that play a role in mitigating the metabolic risk of these East Asian populations.

Indexed as

dietary selective pressuresevolutionary medicinegenomic adaptationhuman Asian populationsmetabolic risk

Identifiers

PMID33664777
PMCPMC7896717
OpenAlexW3047753060

What OpenQuestion holds

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LicenceCC BY
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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.