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Independent phenotypic plasticity axes define distinct obesity sub-types
by
Heyne, Steffen
, Panzeri, Ilaria
, Körner, Antje
, Yang, Tao
, Chandler, Darrell P.
, Gillberg, Linn
, Fagnocchi, Luca
, Apostle, Stefanos
, Pospisilik, J. Andrew
, Casaní-Galdón, Salvador
, Vaag, Allan A.
, Landgraf, Kathrin
, Bras, Jose
, Guerreiro, Rita
, Conesa, Ana
, Grundberg, Elin
, Wörpel, Till
, Thomasen, Martin
, Grunnet, Louise G.
, Gibbons, Elizabeth
, Lu, Di
, Yang, Chih-Hsiang
, Dror, Erez
, Wegert, Vanessa
in
14/1
/ 14/19
/ 14/63
/ 38/39
/ 38/61
/ 38/77
/ 38/90
/ 38/91
/ 631/208/176
/ 631/443/319/1642/393
/ 64/110
/ 64/60
/ 692/308/2056
/ 82/51
/ Beta cells
/ Biomedical and Life Sciences
/ Body composition
/ Body fat
/ Children
/ Design
/ Discordance
/ Epigenetics
/ Gene expression
/ Gene loci
/ Genomes
/ Histone deacetylase
/ Hyperplasia
/ Life Sciences
/ Light
/ Metabolism
/ Obesity
/ Phenotypic plasticity
/ Phenotypic variations
/ Precision medicine
2022
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Independent phenotypic plasticity axes define distinct obesity sub-types
by
Heyne, Steffen
, Panzeri, Ilaria
, Körner, Antje
, Yang, Tao
, Chandler, Darrell P.
, Gillberg, Linn
, Fagnocchi, Luca
, Apostle, Stefanos
, Pospisilik, J. Andrew
, Casaní-Galdón, Salvador
, Vaag, Allan A.
, Landgraf, Kathrin
, Bras, Jose
, Guerreiro, Rita
, Conesa, Ana
, Grundberg, Elin
, Wörpel, Till
, Thomasen, Martin
, Grunnet, Louise G.
, Gibbons, Elizabeth
, Lu, Di
, Yang, Chih-Hsiang
, Dror, Erez
, Wegert, Vanessa
in
14/1
/ 14/19
/ 14/63
/ 38/39
/ 38/61
/ 38/77
/ 38/90
/ 38/91
/ 631/208/176
/ 631/443/319/1642/393
/ 64/110
/ 64/60
/ 692/308/2056
/ 82/51
/ Beta cells
/ Biomedical and Life Sciences
/ Body composition
/ Body fat
/ Children
/ Design
/ Discordance
/ Epigenetics
/ Gene expression
/ Gene loci
/ Genomes
/ Histone deacetylase
/ Hyperplasia
/ Life Sciences
/ Light
/ Metabolism
/ Obesity
/ Phenotypic plasticity
/ Phenotypic variations
/ Precision medicine
2022
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Independent phenotypic plasticity axes define distinct obesity sub-types
by
Heyne, Steffen
, Panzeri, Ilaria
, Körner, Antje
, Yang, Tao
, Chandler, Darrell P.
, Gillberg, Linn
, Fagnocchi, Luca
, Apostle, Stefanos
, Pospisilik, J. Andrew
, Casaní-Galdón, Salvador
, Vaag, Allan A.
, Landgraf, Kathrin
, Bras, Jose
, Guerreiro, Rita
, Conesa, Ana
, Grundberg, Elin
, Wörpel, Till
, Thomasen, Martin
, Grunnet, Louise G.
, Gibbons, Elizabeth
, Lu, Di
, Yang, Chih-Hsiang
, Dror, Erez
, Wegert, Vanessa
in
14/1
/ 14/19
/ 14/63
/ 38/39
/ 38/61
/ 38/77
/ 38/90
/ 38/91
/ 631/208/176
/ 631/443/319/1642/393
/ 64/110
/ 64/60
/ 692/308/2056
/ 82/51
/ Beta cells
/ Biomedical and Life Sciences
/ Body composition
/ Body fat
/ Children
/ Design
/ Discordance
/ Epigenetics
/ Gene expression
/ Gene loci
/ Genomes
/ Histone deacetylase
/ Hyperplasia
/ Life Sciences
/ Light
/ Metabolism
/ Obesity
/ Phenotypic plasticity
/ Phenotypic variations
/ Precision medicine
2022
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Independent phenotypic plasticity axes define distinct obesity sub-types
Journal Article
Independent phenotypic plasticity axes define distinct obesity sub-types
2022
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Overview
Studies in genetically ‘identical’ individuals indicate that as much as 50% of complex trait variation cannot be traced to genetics or to the environment. The mechanisms that generate this ‘unexplained’ phenotypic variation (UPV) remain largely unknown. Here, we identify neuronatin (NNAT) as a conserved factor that buffers against UPV. We find that
Nnat
deficiency in isogenic mice triggers the emergence of a bi-stable polyphenism, where littermates emerge into adulthood either ‘normal’ or ‘overgrown’. Mechanistically, this is mediated by an insulin-dependent overgrowth that arises from histone deacetylase (HDAC)-dependent β-cell hyperproliferation. A multi-dimensional analysis of monozygotic twin discordance reveals the existence of two patterns of human UPV, one of which (Type B) phenocopies the NNAT-buffered polyphenism identified in mice. Specifically, Type-B monozygotic co-twins exhibit coordinated increases in fat and lean mass across the body; decreased
NNAT
expression; increased HDAC-responsive gene signatures; and clinical outcomes linked to insulinemia. Critically, the Type-B UPV signature stratifies both childhood and adult cohorts into four metabolic states, including two phenotypically and molecularly distinct types of obesity.
Yang et al. show that neuronatin (NNAT) can explain part of the phenotypic variation of complex traits, independently of genetics or the environment. Such NNAT-dependent variations can stratify human cohorts into four metabolic sub-types, including two distinct types of obesity.
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