| Literature DB >> 36060058 |
Pernille Bülow1, Anupam Patgiri2, Victor Faundez1.
Abstract
The human brain consumes five orders of magnitude more energy than the sun by unit of mass and time. This staggering bioenergetic cost serves mostly synaptic transmission and actin cytoskeleton dynamics. The peak of both brain bioenergetic demands and the age of onset for neurodevelopmental disorders is approximately 5 years of age. This correlation suggests that defects in the machinery that provides cellular energy would be causative and/or consequence of neurodevelopmental disorders. We explore this hypothesis from the perspective of the machinery required for the synthesis of the electron transport chain, an ATP-producing and NADH-consuming enzymatic cascade. The electron transport chain is constituted by nuclear- and mitochondrial-genome-encoded subunits. These subunits are synthesized by the 80S and the 55S ribosomes, which are segregated to the cytoplasm and the mitochondrial matrix, correspondingly. Mitochondrial protein synthesis by the 55S ribosome is the rate-limiting step in the synthesis of electron transport chain components, suggesting that mitochondrial protein synthesis is a bottleneck for tissues with high bionergetic demands. We discuss genetic defects in the human nuclear and mitochondrial genomes that affect these protein synthesis machineries and cause a phenotypic spectrum spanning autism spectrum disorders to neurodegeneration during neurodevelopment. We propose that dysregulated mitochondrial protein synthesis is a chief, yet understudied, causative mechanism of neurodevelopmental and behavioral disorders.Entities:
Keywords: Biological Sciences; Cell Biology; Neuroscience
Year: 2022 PMID: 36060058 PMCID: PMC9436744 DOI: 10.1016/j.isci.2022.104920
Source DB: PubMed Journal: iScience ISSN: 2589-0042
Figure 1Neurodevelopmental bioenergetic cost in health and disease
(A1) Graphical representation of the bioenergetic cost of an adult brain according to Sokoloff. 20% of oxygen is consumed by 2% of the body weight representing the adult brain weight (Sokoloff, 1999). Each dot represents 1%.
(A2) represents the equivalence between the amount of energy consumed by the brain and a muscle during a marathon proposed by Atwell (Attwell and Laughlin, 2001).
(A3) depicts the equivalence between the consumption of the human brain of 2.23E+05 erg s-1 g-1 reported by Chaisson (Chaisson, 2011a, 2011b, 2015) and expressed as the energy consumption of a 100 W incandescent light bulb. A 100 W light bulb emits 1000 million ergs of energy per second according to Sten Odenwald. The weight of a light bulb is about 34 g, therefore the energy rate density of a 100 W light bulb is 1E+9 ergs/34g/1s. Thus, we estimate the human brain consumes the equivalent of 7.5 ms of a 100 W bulb energy emission for every second that the brain consumes energy. It takes 2.2 min for a brain to consume what a 100 W bulb emits in less than 1 millisecond.
(A4) depicts the comparison of energy density rates in brain and the sun as reported by (Chaisson, 2011a, 2011b, 2015). Note that the sun generates energy at a rate of 2 erg s-1 g-1 (Chaisson, 2011a, 2011b, 2015). The Chaisson’s calculations can be independently derived and verified de novo as follow. Sun energy rate density figure can be obtained from the following astrophysical constants: solar luminosity-energy output = 384.6 septillion watts (3.846E+26 W or 3.846E+33 ergs per second) and a solar mass of 1.989E+33 g (Groom, 2000). The adult brain energy rate density figure can be calculated from the following values: Adult brain weight is 1300 g (Dekaban, 1978). An adult human brain consumes 1414 kJ/day = 1.414E+13 ergs/day= 1.6E+8 ergs/s (Durnin, 1981).
(B) Modified graph depicting the calculation of energy density rates across astronomical and biological scales. Data are expressed in ergs and Joules (blue symbols). Data to calculate energy density rates for 1 and 6 month old brains were obtained from reported brain energy expenditures (Butte, 2005) and brain weights (Dekaban, 1978).
(C) Relative brain energy consumption normalized to an adult brain (Goyal et al., 2014; Kuzawa et al., 2014; Steiner, 2019 #13; Oyarzábal et al., 2021). Brain weight was obtained from Dekeban et al. (Dekaban, 1978). Insert represents the age of onset of neurodevelopmental disorders according to recent metanalysis (Solmi et al., 2022). Note the coincident peaks in energy consumption and the age of onset for neurodevelopmental disorders.
(D) Venn diagram representing the overlap of all Mitochondrial Central Dogma annotated genes according to MitoCarta 3.0 (Rath et al., 2021) that possess annotated entries in the Human Phenotype Ontology category Neurodevelopmental Abnormality (HP:0012759). This category is defined as “a deviation from normal of the neurological development of a child, which may include any or all of the aspects of the development of personal, social, gross or fine motor, and cognitive abilities”. Mitochondrial Central Dogma annotated genes are enriched 2.1 times above what is expected by chance. p value was calculated with a hypergeometric test.
(E) Frequency of annotated phenotypes all Mitochondrial Central Dogma annotated genes according to MitoCarta 3.0 (Rath et al., 2021) that possess annotated entries in the whole Human Phenotype Ontology database. Note that 100% of the gene defects are autosomal recessive with high prevalence of neurodevelopmental phenotypes such as intellectual disability and microcephaly.
Figure 2Expression profile of Mitochondrial Central Dogma Annotated Genes
(A) Euclidean distance hierarchical clustering of the mRNA expression of all Mitochondrial Central Dogma annotated genes according to MitoCarta 3.0. Expression data span from 4 weeks post-conception to 55 years of age (Rath et al., 2021). RNAseq data were obtained from EvoDevo human RNAseq datasets (Cardoso-Moreira et al., 2019). High expression is denoted by yellow color. Note the increased expression of mitochondrial ribosome subunit genes (red marks) is increased right after birth.
(B) Principal component analysis of the data in A. Spheres represent columns in A with the same color code for age. Each PCA graph is superimposed with a heatmap of age (same as in A) or a heatmap of the integrate expression of Mitochondrial Central Dogma subcategories such as mitochondrial ribosome (Mt-Ribosome) as defined by Rath et al. (Rath et al., 2021). Note that mitochondrial ribosome subunits and components of the mitochondrial DNA replication machinery have peak expression at the ends of the lifespan analyzed.