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. 2019 Aug 5;129(10):4009–4021. doi: 10.1172/JCI129190

Figure 3. The severity of lipodystrophy and the degree of adipose dysfunction correlate broadly with the severity of insulin resistance.

Figure 3

This principle extends from the most extreme form of lipodystrophy, congenital generalized lipodystrophy (CGL), through familial partial lipodystrophies (FPLDs) to the general population. Individuals in the highest quintile (Q5) for a polygenic risk score for insulin resistance (see Lotta et al.; ref. 175) have less gluteofemoral fat, resulting in an “apple-shaped” fat distribution, whereas those in the lowest quintile (Q1) manifest a protective “pear-shaped” fat distribution and are less insulin resistant. FPLD type 1 (FPLD1) represents an intermediate state between other monogenic forms of FPLD and the highest-risk individuals from the general population. The degree of genetic disruption of adipose tissue also correlates with these phenotypes, as exemplified by the impact of a range of PPARG mutations: complete loss of PPARγ function can cause CGL; dominant-negative PPARG mutations cause FPLD3; and common PPARG variants affect insulin resistance at a population level. Exemplars of PPARG mutations in each of these categories have been included. Each black dot represents a distinct monogenic disease (see Table 1 for classifications), and red diamonds schematically represent common genetic variants that influence adipogenesis and insulin resistance.