Aerobic glycolysis in the human brain is associated with development and neotenous gene expression
Open accessAbstract
Aerobic glycolysis (AG; i.e., nonoxidative metabolism of glucose despite the presence of abundant oxygen) accounts for 10%-12% of glucose used by the adult human brain. AG varies regionally in the resting state. Brain AG may support synaptic growth and remodeling; however, data supporting this hypothesis are sparse. Here, we report on investigations on the role of AG in the human brain. Meta-analysis of prior brain glucose and oxygen metabolism studies demonstrates that AG increases during childhood, precisely when synaptic growth rates are highest. In resting adult humans, AG correlates with the persistence of gene expression typical of infancy (transcriptional neoteny). In brain regions with the highest AG, we find increased gene expression related to synapse formation and growth. In contrast, regions high in oxidative glucose metabolism express genes related to mitochondria and synaptic transmission. Our results suggest that brain AG supports developmental processes, particularly those required for synapse formation and growth.
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Claims the paper makes
16 of 27 cited sources checked · 5 supported · 0 flagged · accuracy not yet measured
- Premisecitation
Aerobic glycolysis (AG), the non-oxidative metabolism of glucose despite abundant oxygen, accounts for approximately 10-12% of the glucose consumed by the normal adult human brain.
“Aerobic glycolysis (AG), i.e., non-oxidative metabolism of glucose despite the presence of abundant oxygen, accounts for 10–12% of glucose used by the adult human brain.”
- Also stated in: § INTRODUCTION · hedged
“approximately 10–12% of the total glucose consumed by a normal adult brain (CMRglc) is in excess of oxygen consumption (CMRO2)”
Quote in the paperSubstantial claim3 of 3 sources checked- cites Boyle et al., 1994 source
The Results report an oxygen-to-glucose metabolism ratio of 5.33 during sleep, consistent with roughly 11% of glucose not being oxidized if complete oxidation requires a ratio of 6. But the presleep ratio was 4.85, and the paper does not state that aerobic glycolysis generally accounts for 10–12% of glucose use in the adult human brain. (LLM, conf=0.83)
Experimental — accuracy not yet measured - cites Madsen et al., 1995 source
In “Global metabolism before and during mental activation” (page unavailable), the paper reports a 12% increase in glucose uptake during activation, not that aerobic glycolysis accounts for 10–12% of glucose use in the normal resting adult brain. Its baseline lactate/glucose index was 6%, and the Concluding remarks say the data do not establish the nature of the metabolic processes behind the altered oxygen/glucose ratio. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites Vaishnavi et al., 2010 source
- Also stated in: § INTRODUCTION · hedged
- Premisecitation
Aerobic glycolysis varies regionally in the resting adult human brain.
“AG varies regionally in the resting state.”
- Also stated in: § INTRODUCTION · plain
“In the resting adult human brain, AG varies regionally”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Vaishnavi et al., 2010 source
- Also stated in: § INTRODUCTION · plain
- Premisecitation
Aerobic glycolysis correlates with centrality as defined by large-scale structural and resting-state functional connectivity studies of the human brain.
“AG correlates with centrality as defined by large scale, structural and resting state function connectivity studies of the human brain”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Bullmore and Sporns, 2012 source
- cites Vaishnavi et al., 2010 source
The Results report that regions with elevated aerobic glycolysis overlap the default-mode and control systems mapped using resting-state functional MRI. The paper does not report a correlation with network centrality or assess centrality defined by structural connectivity; its Methods describe the comparison as qualitative. (LLM, conf=0.87)
Experimental — accuracy not yet measured
- Findingcitation
GeneMANIA confirmed that the 116 aerobic glycolysis related genes are associated with neuronal projections and axonal and dendritic development.
“For the 116 AG-related genes, an independent gene ontology tool, GeneMANIA.org, confirmed that these genes are associated with neuronal projections and axonal and dendritic development”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Warde-Farley et al., 2010 source
- Premisecitation
In the adult brain, the highest levels of resting state aerobic glycolysis are found in the default mode network.
“Interestingly, in the adult brain, the highest levels of resting state AG are found in the default mode network (DMN)”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Raichle et al., 2001 source
The opening section describes a baseline default mode in the resting adult brain, and the Discussion identifies areas that may be tonically active in that state. But the paper examines oxygen extraction and task-related activity decreases; it does not report aerobic glycolysis levels or establish that they are highest in those areas (searched: aerobic glycolysis, glycolysis, glucose). (LLM, conf=0.82)
Experimental — accuracy not yet measured
- Premisecitation
Aerobic glycolysis persists for at least 40 minutes following cognitively demanding task performance, despite the return of blood flow and lactate production to control levels.
“Curiously, AG persists for at least 40 minutes following cognitive demanding task performance, despite the return of blood flow and lactate production to control levels”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Fox et al., 1988 source
- cites Madsen et al., 1995 source
The Global metabolism section (page unavailable) reports that glucose uptake remained elevated relative to oxygen uptake for about 40 minutes after the mental task. The Relation between excess CMRglc and CMRlac section says lactate measures returned to baseline within 20 minutes. But the Concluding remarks (page unavailable) say the study cannot identify the metabolic process behind the persistent uptake-ratio change, so it does not establish persistent aerobic glycolysis; the passages also do not establish that blood flow returned to control levels after the task. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
The default mode network constitutes a central hub of structural (axonal) connectivity.
“The DMN also constitutes a central hub of structural (axonal) connectivity”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Bullmore and Sporns, 2012 source
- cites Vaishnavi et al., 2010 source
The Results describe the DMN using resting-state fMRI correlations, and the Methods compare those functional maps with aerobic glycolysis. Searches for structural or axonal connectivity and hub status found no passage in our copy establishing that the DMN is a central hub of structural connectivity. (LLM, conf=0.76)
Experimental — accuracy not yet measured
- Findingown data
In resting adult humans, aerobic glycolysis correlates with persistence of gene expression typical of infancy (transcriptional neoteny).
“In resting adult humans, AG correlates with persistence of gene expression typical of infancy (transcriptional neoteny).”
Quote in the paperSubstantial claim - Findingnone given
Brain regions high in oxidative glucose metabolism express genes related to mitochondria and synaptic transmission.
“In contrast, regions high in oxidative glucose metabolism express genes related to mitochondria and synaptic transmission.”
Quote in the paperSubstantial claim - Findingown data
Brain aerobic glycolysis increases during childhood.
“AG increases during childhood, precisely when synaptic growth rates are highest.”
- Also stated in: § Meta-analysis of prior studies of brain glucose and oxygen consumption · boosted
“AG increases dramatically during childhood”
Quote in the paperSubstantial claim- Rests on an assumption: Synaptic growth rates are highest during early childhood.
- Also stated in: § Meta-analysis of prior studies of brain glucose and oxygen consumption · boosted
- Findingown data
In brain regions with the highest aerobic glycolysis, gene expression related to synapse formation and growth is increased.
“In brain regions with the highest AG, we find increased gene expression related to synapse formation and growth.”
Quote in the paperSubstantial claim - Findingown data
Within the cortex, the rise during postnatal development and subsequent persistence during adulthood is highest within association areas that include the brain regions with the highest aerobic glycolysis.
“Within the cortex, the rise during postnatal development and subsequent persistence during adulthood is highest within association areas that, as a whole, include the brain regions with the highest AG”
Quote in the paperSubstantial claim - Findingown data
During much of adult life, brain glucose consumption is only slightly greater than that expected based on brain oxygen consumption.
“During much of adult life, brain glucose consumption is only slightly greater than that expected based on brain oxygen consumption”
Quote in the paperSubstantial claim - Findingown data
Only two glycolytic isoenzymes, PDK3 and PPM2C, significantly correlated with aerobic glycolysis in all 6 brains (p<0.05, Holm-Bonferroni corrected).
“Using a less stringent statistical test, we found only two glycolytic isoenzymes that significantly correlated with aerobic glycolysis in all 6 brains (PDK3—pyruvate dehydrogenase kinase 3, and PPM2C—pyruvate dehydrogenase phosphatase catalytic subunit 1, p<0.05, Holm-Bonferroni corrected across glycolysis isoenzymes).”
Quote in the paperNot a substantial claim - Findingown data
One hundred sixteen genes were consistently found in the top 1000 correlations with aerobic glycolysis across all 6 brains.
“The number of genes satisfying these stringent criteria was 116”
Quote in the paperSubstantial claim - Findingown data
Aerobic glycolysis most highly correlated with WGCNA clusters associated with neurite growth, synaptic growth and development (cluster eigengenes A14, A19, and A30).
“AG most highly correlated with clusters associated with neurite growth, synaptic growth and development (cluster eigengenes A14, A19, and A30).”
Quote in the paperSubstantial claim - Findingown data
The 38 genes associated with CMRglc are only enriched for genes related to regulation of transcription and other DNA binding activities.
“In contrast, the 38 genes associated with CMRglc are only enriched for genes related to regulation of transcription and other DNA binding activities”
Quote in the paperSubstantial claim - Findingown data
Genes coding for enzymes directly associated with glycolysis were not included among the 116 genes consistently correlating with aerobic glycolysis.
“It is noteworthy that genes coding for enzymes directly associated with glycolysis were not included among the 116 genes consistently correlating with aerobic glycolysis.”
Quote in the paperSubstantial claim - Findingown data
CMRglc best correlated with WGCNA clusters related to mitochondria and synaptic transmission (A3, A4, and A26).
“In contrast, CMRglc best correlated with clusters related to mitochondria and synaptic transmission (A3, A4, and A26)”
Quote in the paperSubstantial claim - Findingown data
The median age-shift measure of regional transcriptional neoteny is significantly correlated with aerobic glycolysis (Pearson correlation = 0.71, r-squared = 0.51, p = 0.002, 95% CI r = 0.33-0.89).
“A related measure of regional transcriptional neoteny—the median ‘age-shift’ (Somel et al., 2009) —revealed very similar results (Pearson correlation = 0.71, r-squared = 0.51, p = 0.002, 95% CI r = 0.33–0.89).”
Quote in the paperSubstantial claim - Findingown data
Whole brain aerobic glycolysis appears to virtually disappear in the elderly.
“whole brain AG appears to virtually disappear in the elderly”
Quote in the paperSubstantial claim - Findingreasoning
AG persists in neotenous adult brain regions.
“AG is potentiated during childhood, persists in neotenous adult brain regions and spatially correlates with gene expression related to synapse formation and neurite growth.”
Quote in the paperSubstantial claim - Findingnone given
AG spatially correlates with gene expression related to synapse formation and neurite growth.
“AG is potentiated during childhood, persists in neotenous adult brain regions and spatially correlates with gene expression related to synapse formation and neurite growth.”
Quote in the paperSubstantial claim- Rests on an assumption: The single AHBA donor used is representative of adult human brain gene expression for the regional analyses.
- Findingown data
The search identified 116 genes consistently found in the top 1,000 out of 17,205 in each of the AHBA and 5 BSS age- and RIN-matched adult brains.
“We searched for genes consistently found in the top 1,000 out of the 17,205 in each of the AHBA and 5 BSS age- and RIN-matched adult brains; this search identified the 116 genes described in the main text.”
Quote in the paperSubstantial claim- Rests on an assumption: The single AHBA donor used is representative of adult human brain gene expression for the regional analyses.
- Findingown data
EPHB6 was among the top 40 in all 6 brains (p<10−8, Bonferroni corrected).
“This gene was among the top 40 in all 6 brains, which is extremely unlikely by chance alone (p<10−8, Bonferroni corrected).”
Quote in the paperNot a substantial claim - Findingown data
The 116 aerobic glycolysis related genes are enriched for genes associated with axons, dendrites, and their development.
“These AG related genes are enriched for genes associated with axons, dendrites, and their development”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Huang da et al., 2009 source
- Findingown data
EPHB6 (ephrin type-B receptor 6) is the gene with the strongest association with aerobic glycolysis.
“Gene EPHB6 (ephrin type-B receptor 6) emerged as the gene with the strongest association with aerobic glycolysis.”
Quote in the paperNot a substantial claim - Findingown data
Total glucose consumption at age 5 years exceeds adult levels by a factor of two.
“when total glucose consumption exceeds adult levels by a factor of two”
Quote in the paperSubstantial claim - Findingown data
Across the 16 BrainSpan Study regions, the neoteny index is significantly correlated with aerobic glycolysis (Pearson correlation = 0.77, r-squared = 0.59, p=0.0008, 95% CI r = 0.43-0.92).
“Across these 16 regions, the neoteny index was significantly correlated with AG (Pearson correlation = 0.77, r-squared = 0.59, p=0.0008, 95% CI r = 0.43–0.92; Figure 3).”
Quote in the paperSubstantial claim - Findingown data
Performing the same analysis to identify genes associated with CMRglc revealed only 38 genes.
“In contrast, performing the same analysis to identify genes associated with CMRglc revealed only 38 genes.”
Quote in the paperSubstantial claim - Findingown data
Aerobic glycolysis accounts for approximately one-third of total glucose consumption at its peak around age 5 years.
“AG increases dramatically during childhood, and accounts for approximately one-third of total glucose consumption at its peak around age 5 years”
Quote in the paperSubstantial claim - Findingown data
Only approximately 2% of random permutations reproduced an equal or greater number of consistent genes.
“Only ~2% of the random permutations reproduced an equal or greater number of consistent genes”
Quote in the paperSubstantial claim - Findingnone given
AG is potentiated during childhood.
“AG is potentiated during childhood, persists in neotenous adult brain regions and spatially correlates with gene expression related to synapse formation and neurite growth.”
Quote in the paperSubstantial claim - Findingown data
Other metabolic parameters, including CMRO2, CBF, CBV, and OEF, showed specific and distinct relationships to the AHBA eigengenes.
“Other metabolic parameters, including CMRO2, CBF, CBV, and OEF also showed specific and distinct relationships to the AHBA eigengenes”
Quote in the paperNot a substantial claim - Interpretationown data
Brain aerobic glycolysis supports developmental processes, particularly those required for synapse formation and growth.
“Our results suggest that brain AG supports developmental processes, particularly those required for synapse formation and growth.”
- Also stated in: § INTRODUCTION · hedged
“The observed patterns of gene expression support our hypothesis that brain AG supports the biosynthetic requirements of synaptic growth and remodeling.”
Quote in the paperSubstantial claim- Rests on an assumption: Synaptic growth rates are highest during early childhood.
- Also stated in: § INTRODUCTION · hedged
- Interpretationown data
Gene expression data strongly suggest that the regional dependence of aerobic glycolysis in the adult brain reflects a persistent developmental character, specifically neoteny.
“Thus, gene expression data strongly suggest that the regional dependence of AG in the adult brain reflects a persistent developmental character, specifically, neoteny.”
Quote in the paperSubstantial claim - Interpretationown data
This study is the first example of an analysis resulting in a strong correspondence between the regional variance of an imaging parameter, aerobic glycolysis, and specific gene expression.
“As far as we are aware, this study is the first example of such an analysis resulting in a strong correspondence between the regional variance of an imaging parameter, in this case AG, and specific gene expression.”
Quote in the paperSubstantial claim - Study design and conductown data
The meta-analysis of human brain aerobic glycolysis is based on incomplete data obtained using different methods across studies and age groups.
“The meta-analysis of human brain AG (Figure 2) is based on incomplete data obtained using different methods across studies and age groups.”
Quote in the paperNot a substantial claim- Rests on an assumption: Metabolic data from different studies and age groups can be combined into a summary representation across the human lifespan despite different methods.
- Interpretationreasoning
A primary role of AG is biosynthetic support of synapse formation and neurite growth.
“These observations suggest that a primary role of AG is biosynthetic support of the aforementioned cellular processes.”
Quote in the paperSubstantial claim- Rests on an assumption: The single AHBA donor used is representative of adult human brain gene expression for the regional analyses.
- Premisecitation
Aerobic glycolysis identifies regions most vulnerable to amyloid-beta deposition in Alzheimer's disease.
“Further, AG identifies regions most vulnerable to amyloid-beta deposition in Alzheimer’s disease”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Vlassenko et al., 2010 source
- Interpretationreasoning
Impaired brain AG may represent a useful biomarker of pathology in neurodegenerative diseases.
“Thus, impaired brain AG may represent a useful biomarker of pathology in neurodegenerative diseases.”
Quote in the paperSubstantial claim - Interpretationreasoning
The results support the hypothesis that brain aerobic glycolysis has a similar role to that seen in cancer cells, namely to support the biosynthesis required for brain growth.
“Taken together, these results support the hypothesis that brain AG has a similar role to that seen in cancer cells, namely, to support the biosynthesis required for brain growth.”
Quote in the paperSubstantial claim - Interpretationown data
Aerobic glycolysis in the adult human brain is significantly associated with a consistent pattern of gene expression as identified by 116 genes.
“Thus, aerobic glycolysis in the adult human brain is significantly associated with a consistent pattern of gene expression as identified by these 116 genes.”
Quote in the paperSubstantial claim - Interpretationown data
Metabolic differences among brain regions are represented in their transcriptional differences.
“This result demonstrates that metabolic differences among brain regions are represented in their transcriptional differences.”
Quote in the paperSubstantial claim - Premisecitation
Uncoupling of glucose metabolism from oxygen consumption is characteristic of the brain's response to imposed tasks.
“Uncoupling of glucose metabolism from oxygen consumption is characteristic of the brain’s response to imposed tasks (‘activation’)”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Fox et al., 1988 source
- Interpretationreasoning
In vivo measurement of AG may be informative regarding synaptic growth and turnover in health and disease.
“Accordingly, in vivo measurement of AG may be informative regarding synaptic growth and turnover in health and disease.”
Quote in the paperNot a substantial claim
- Classified as probably not a substantial claim. 16
- May combine two claims. 15
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAG and the oxygen-glucose index (OGI) are nearly perfectly inversely correlated (r = −0.98).
“AG and the oxygen-glucose index (OGI) are nearly perfectly inversely correlated (r = −0.98) (Vaishnavi et al., 2010).”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Vaishnavi et al., 2010 source
Probably not a substantial claim: may not pass S1 (asserted). May combine two claims.
InterpretationreasoningAerobic glycolysis supports synaptic and neurite formation, as well as turnover, which likely persists throughout the lifespan.
“More specifically, we hypothesize that AG supports synaptic and neurite formation, as well as turnover, which likely persists throughout the lifespan”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites Goyal and Raichle, 2013 source
The Discussion speculates that aerobic glycolysis may coincide with high synaptic growth rates in early childhood, and the Abstract reports model-based evidence of ongoing synaptic turnover in the adult human cortex. The paper does not establish that aerobic glycolysis supports synaptic or neurite formation and turnover throughout the lifespan. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites Marder and Goaillard, 2006 source
May combine two claims.
Findingown dataThe 116 aerobic glycolysis related genes are enriched for neuron specific markers, genes downregulated in Alzheimer disease and aging, genes associated with autism, and proteins found in the human post-synaptic density.
“we found that the 116 AG-related genes are also enriched for neuron specific markers, genes downregulated in Alzheimer disease and aging, genes associated with autism, and proteins found in the human post-synaptic density”
Quote in the paperSubstantial claim1 of 2 sources checked- cites Langfelder and Horvath, 2008 source
The Results > Mouse Data Application section reports enrichment for gene modules associated with mouse body weight, not for 116 aerobic-glycolysis-related genes. Searches for those genes, neuron-specific markers, autism, and post-synaptic density found no passage addressing the claimed enrichment. (LLM, conf=0.76)
Experimental — accuracy not yet measured - cites Li et al., 2007
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Classified as probably not a substantial claim. May combine two claims.
Study design and conductcitationThe AHBA data were corrected for batch effects and normalized to the 75% quantile, and BSS data were quantile normalized.
“The AHBA data were corrected for batch effects and normalized to the 75% quantile, as previously described (Hawrylycz et al., 2012). BSS data also were quantile normalized.”
Quote in the paperSubstantial claim1 of 1 sources checked- cites Hawrylycz et al., 2012 source
The Methods sections on Sample processing and Microarray data analysis describe how the AHBA microarrays were generated and analyzed, but do not specify batch-effect correction or normalization to the 75th quantile. Searches for “batch effect,” “quantile,” and “75% quantile” found no passage establishing those steps. The citation is attached to the AHBA statement; the separate BSS normalization statement is not attributed to this source. Page numbers were not available in our copy. (LLM, conf=0.72)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim. May combine two claims.
PremisecitationAerobic glycolysis is a prominent feature of cancer cell metabolism, and its main role is thought to be support of biosynthetic pathways required for cellular proliferation.
“AG is a prominent feature of cancer cell metabolism; its main role is thought to be support of biosynthetic pathways required for cellular proliferation”
Quote in the paperSubstantial claim2 of 2 sources checked- cites Locasale and Cantley, 2011 source
The Warburg Effect and cell growth section describes aerobic glycolysis as a common feature of tumor cells and identifies support of biosynthesis as one of its functions. It also says those functions are multiple and debated, including redox balance, energy balance, and signaling; it does not identify biosynthesis as the main role. No page number is available in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites Lunt and Vander Heiden, 2011 source
May combine two claims.
PremisecitationIn the resting adult human brain, nearly 25% of resting glucose consumption is non-oxidative in the medial prefrontal gyrus, while aerobic glycolysis comprises only 2% of glucose consumption in the cerebellum.
“nearly 25% of resting glucose consumption is non-oxidative in the medial prefrontal gyrus, while AG comprises only 2% of glucose consumption in the cerebellum”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites Vaishnavi et al., 2010 source
The Results (Table 1; page unavailable) report elevated aerobic glycolysis in the prefrontal cortex and low levels in the cerebellum. Using the Results’ stated OGI benchmark of 6, the table’s values imply about 23% non-oxidative glucose use in the prefrontal cortex, close to 25%, but about 1% in the cerebellum rather than 2%. The table reports prefrontal cortex, not a specific value for the medial prefrontal gyrus. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
Findingown dataThere was no significant enrichment of genes related to glycolysis or genes regulated by agonal stress among the 116 aerobic glycolysis related genes.
“There was no significant enrichment of genes related to glycolysis or genes regulated by agonal stress”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe oxygen-glucose index is approximately 5 during the fetal period, decreases to less than 4 during early childhood, progressively rises to 5.67 in young and mid-age adults, and ultimately exceeds 6 in older adults.
“We find that OGI is approximately 5 during the fetal period, decreases to less than 4 during early childhood, progressively rises to 5.67 in young and mid-age adults, and ultimately exceeds 6 in older adults”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataDuring the early fetal period, there is little differential regional expression of the 116 genes; postnatally, cerebellar expression falls while cortical expression continues to rise.
“During the early fetal period, there is little differential regional expression. Postnatally, cerebellar expression (the area in the adult brain with the lowest level of AG, see Figure 1) falls while cortical expression continues to rise.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe 116 glycolytic genes collectively exhibit a unique expression pattern across the lifespan that varies across the brain.
“We found that the 116 glycolytic genes collectively exhibit a unique expression pattern across the lifespan (Figure 4a) that strikingly varies across the brain.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataMultidimensional scaling of AHBA data showed that regions with high aerobic glycolysis cluster independently from regions with low aerobic glycolysis along the y-axis, while high versus low OEF regions separated along the x-axis.
“Regions with high AG were found to cluster independently from regions with low AG along the y-axis (principle coordinate 2) in the resulting plot while, for example, high versus low OEF regions separated along the x-axis (principle coordinate 1)”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataResting cerebral blood flow tracks glucose utilization during childhood, but then tracks oxygen consumption during adulthood.
“resting cerebral blood flow tracks glucose utilization during childhood, but then tracks oxygen consumption during adulthood”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataComparison of PET measurements to FreeSurfer-derived regions matched to the BSS regional nomenclature found only slight differences.
“We further compared these measurements to a similar set of PET measurements in FreeSurfer-derived regions matched to the BSS regional nomenclature, and found only slight differences.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Findingnone givenThe cerebellum shows the lowest AG among all brain regions assessed in the BSS.
“since the cerebellum shows the lowest AG amongst all brain regions assessed in the BSS.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductreasoningDonor brains with post-mortem intervals >24 hours or with >25% of microarray samples with an RNA integrity index (RIN) less than 7.5 were excluded to maximize the integrity of the analysis.
“Donor brains with post-mortem intervals >24 hours or with >25% of microarray samples with an RNA integrity index (RIN) less than 7.5 were excluded to maximize the integrity of our analysis.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
Study design and conductreasoningData from only one of the AHBA donors was used because only this brain met the stringent RNA integrity and post-mortem interval criteria.
“Hence, data from only one of the AHBA donors was used, since only this brain met our stringent RNA integrity and post-mortem interval criteria.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe default mode network is among the most functionally robust networks in the brain as evidenced by its correlated intrinsic activity.
“More recently, the DMN has emerged as among the most functionally robust networks in the brain as evidenced by its correlated intrinsic activity”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Fox and Raichle, 2007 source
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Study design and conductnone givenGene expression levels may only modestly correlate with protein and enzyme levels because of post-transcriptional modifications.
“Another caveat is that gene expression levels may only modestly correlate with protein and enzyme levels because of post-transcriptional modifications.”
Quote in the paperNot a substantial claim- Rests on an assumption: Gene expression levels are a valid proxy for regional functional and molecular processes such as synaptic growth.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe results do not address causation.
“Finally, our results do not address causation.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataBrain aerobic glycolysis peaks, with the oxygen-glucose index at a minimum, precisely when synaptic development peaks in the human brain, during early childhood.
“Thus, the available data demonstrate that brain AG peaks (OGI is at a minimum) precisely when synaptic development peaks in the human brain, i.e., during early childhood.”
Quote in the paperSubstantial claim- Rests on an assumption: Synaptic growth rates are highest during early childhood.
Classified as probably not a substantial claim.
Study design and conductnone givenThe meta-analysis reported in Figure 2 was based on in-depth review of the literature using Pubmed, Google Scholar, and reference lists in several papers identifying studies that measured glucose or oxygen metabolism over the whole brain or cerebral cortex.
“The meta-analysis reported in Figure 2 was based on in-depth review of the literature, using Pubmed, Google Scholar, and reference lists in several papers identifying studies that measured glucose or oxygen metabolism over the whole brain or cerebral cortex.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductown dataA permutation analysis was performed by repeatedly shuffling AG values among the 16 BSS regions to evaluate the significance of the 116-gene finding.
“To evaluate the significance of this finding, the same analysis was performed after repeatedly shuffling the AG values among the 16 BSS regions to measure the percentage of instances that produced an equivalent number of genes as compared to the actual AG values (AHBA was excluded from this permutation analysis given the difficulty in relating shuffled BSS AG values to the AHBA regions).”
Quote in the paperSubstantial claimClassified as probably not a substantial claim. May combine two claims.
InterpretationreasoningThe analyses link aerobic glycolysis to synaptic and neurite growth and formation but do not elucidate the specific mechanisms by which this occurs.
“Thus, our analyses link AG to synaptic and neurite growth and formation but do not elucidate the specific mechanisms by which this occurs.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationBrain aerobic glycolysis was previously found to be highest in regions most vulnerable to amyloid deposition.
“Similarly, brain AG was previously found to be highest in regions most vulnerable to amyloid deposition”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Vlassenko et al., 2010 source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationUpregulation of PDK3 acts as a switch for aerobic glycolysis in certain cancer cell lines.
“Indeed, upregulation of PDK3 acts as a switch for aerobic glycolysis in certain cancer cell lines”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Lu et al., 2008
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
The paper relies on this without support.
Synaptic growth rates are highest during early childhood.
“AG increases during childhood, precisely when synaptic growth rates are highest.”
“Thus, the available data demonstrate that brain AG peaks (OGI is at a minimum) precisely when synaptic development peaks in the human brain, i.e., during early childhood.”
The paper relies on this without support.
Metabolic data from different studies and age groups can be combined into a summary representation across the human lifespan despite different methods.
“The meta-analysis of human brain AG (Figure 2) is based on incomplete data obtained using different methods across studies and age groups.”
The paper relies on this without support.
Regional aerobic glycolysis values measured by PET in resting healthy young adults can be assigned to post-mortem gene expression regions to represent regional aerobic glycolysis.
“we assigned each of the 16 regions an AG value using regional PET imaging data previously obtained by our laboratory in resting, healthy young adults”
“We assigned an AG value to each of the ~900 brain regions sampled in the AHBA brain by measuring the glycolytic index in our PET data at the MNI coordinate provided for each of the AHBA regions.”
The paper relies on this without support.
Gene expression levels are a valid proxy for regional functional and molecular processes such as synaptic growth.
“Another caveat is that gene expression levels may only modestly correlate with protein and enzyme levels because of post-transcriptional modifications.”
The authors state this as an assumption.
A 6:1 stoichiometric relationship between oxygen and glucose consumption holds for the brain.
“assuming a 6:1 stoichiometric relationship between oxygen and glucose consumption”
The paper relies on this without support.
The single AHBA donor used is representative of adult human brain gene expression for the regional analyses.
“Hence, data from only one of the AHBA donors was used, since only this brain met our stringent RNA integrity and post-mortem interval criteria.”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Glucose uptake outpaces oxygen use in the human brain, and this imbalance also peaks at the age of greatest glucose uptake in childhood.
“Recent work shows that glucose uptake outpaces oxygen use in the human brain, and that this imbalance also peaks at the age of greatest glucose uptake in childhood”
From Metabolic costs and evolutionary implications of human brain development (2014) · cites this paper as [28]
Aerobic glycolysis plays an important role in support of synaptic proliferation and growth.
“pointing to an important role of aerobic glycolysis in support of synaptic proliferation and growth (28,30).”
From Metabolic costs and evolutionary implications of human brain development (2014) · cites this paper as [28]
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Cited works that were retracted
Works this paper cites that were later retracted, from the retraction notices publishers deposit. Major when the notice came out before this paper was published.
Cites a retracted work: 10.1038/nature07767
InfoThe cited work was retracted on 2023-12-18 (notice 10.1038/s41586-023-06943-3), not before this paper was published (2014-01).
Cited work 10.1038/nature07767 · retracted 2023-12-18 · notice 10.1038/s41586-023-06943-3 · this paper published 2014-01
“Given the present findings, it is intriguing to consider the possibility that amyloid deposition is linked to high rates of synaptic turnover (Bufill et al., 2011; Nikolaev et al., 2009).”
Cites
1 retracted
RETRACTED ARTICLE: APP binds DR6 to trigger axon pruning and neuron death via distinct caspases
Nikolaev, A., McLaughlin, T., O’Leary, D. D. M., & Tessier-Lavigne, M. (2009) · Nature · doi:10.1038/nature07767 · Cited by 992 · cited 1× · see citing works
“Given the present findings, it is intriguing to consider the possibility that amyloid deposition is linked to high rates of synaptic turnover (Bufill et al., 2011; Nikolaev et al., 2009).”
RetractedSystematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890 · cited 4× · see citing works
“The 116 AGassociated genes were analyzed with three gene ontology methods, including GeneMANIA (Warde-Farley et al., 2010), DAVID (Huang da et al., 2009), and userListEnrichmentR (Miller et al., 2011) (Table 1, see also Tables S3 and S4).”
InfluentialWGCNA: an R package for weighted correlation network analysis
Langfelder, P., & Horvath, S. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-559 · Cited by 27,252 · see citing works
A default mode of brain function
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“Interestingly, in the adult brain, the highest levels of resting state AG are found in the default mode network (DMN), a constellation of brain regions originally identified as most active in the absence of attention-demanding, goal-directed task performance (Raichle et al., 2001).”
Self-citationSpontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
Fox, M. D., & Raichle, M. E. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2201 · Cited by 6,700 · cited 1× · see citing works
“More recently, the DMN has emerged as among the most functionally robust networks in the brain, as evidenced by its correlated intrinsic activity (Fox and Raichle, 2007), a property now widely referred to as functional connectivity (Bullmore and Sporns, 2012).”
Self-citationWarde-Farley, D., Donaldson, S. L., Comes, O., Zuberi, K., Badrawi, R., Chao, P., Franz, M., Grouios, C., Kazi, F., Lopes, C. T., et al. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq537 · Cited by 4,835 · cited 5× · see citing works
“Similar results are obtained with other gene ontology tools, including GeneMANIA and userListEnrichment (Table S4) (Miller et al., 2011; Warde-Farley et al., 2010).”
InfluentialAn Energy Budget for Signaling in the Grey Matter of the Brain
Attwell, D., & Laughlin, S. B. (2001) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/00004647-200110000-00001 · Cited by 3,543 · cited 1× · see citing works
“Most of this glucose is oxidized in order to supply the large amounts of ATP required to maintain membrane ion gradients and other cellular processes related to synaptic transmission (Attwell and Laughlin, 2001; Lennie, 2003; Raichle and Mintun, 2006; Sibson et al., 1997, 1998).”
The economy of brain network organization
Bullmore, E., & Sporns, O. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3214 · Cited by 3,284 · cited 3× · see citing works
“The DMN also constitutes a central hub of structural (axonal) connectivity (Bullmore and Sporns, 2012; Vaishnavi et al., 2010).”
An anatomically comprehensive atlas of the adult human brain transcriptome
Hawrylycz, M. J., Lein, E. S., Guillozet-Bongaarts, A. L., Shen, E. H., Ng, L., Miller, J. A., van de Lagemaat, L. N., Smith, K. A., Ebbert, A., Riley, Z. L., et al. (2012) · Nature · doi:10.1038/nature11405 · Cited by 3,083 · cited 5× · see citing works
“The AHBA data were corrected for batch C effects and normalized to the 75%quantile as previously described (Hawrylycz et al., 2012).”
InfluentialSelf-citationAerobic glycolysis: Meeting the metabolic requirements of cell proliferation
Lunt, S. Y., & Vander Heiden, M. G. (2011) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-092910-154237 · Cited by 3,057 · see citing works
Synaptic Activity and the Construction of Cortical Circuits
Katz, L. C., & Shatz, C. J. (1996) · Science · doi:10.1126/science.274.5290.1133 · Cited by 3,048 · cited 1× · see citing works
“Accordingly, it may not be coincidental that neuronal bursting plays a role in shaping synaptic connections during development (Katz and Shatz, 1996).”
Pellerin, L., & Magistretti, P. J. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.22.10625 · Cited by 2,927 · see citing works
Spatio-temporal transcriptome of the human brain
Kang, H. J., Kawasawa, Y. I., Cheng, F., Zhu, Y., Xu, X., Li, M., Sousa, A. M. M., Pletikos, M., Meyer, K. A., Sedmak, G., et al. (2011) · Nature · doi:10.1038/nature10523 · Cited by 2,084 · cited 6× · see citing works
“Regions are named according to the BSS (Kang et al., 2011): CBC, cerebellum; MD, thalamus; AMY, amygdala; HIP, hippocampus; ITC, inferior temporal cortex; STR, striatum; V1C, primary visual cortex; STC, superior temporal cortex; A1C, auditory cortex; IPC, inferior parietal cortex; M1C, primary motor cortex; S1C, prima…”
InfluentialNonoxidative Glucose Consumption During Focal Physiologic Neural Activity
Fox, P. T., Raichle, M. E., Mintun, M. A., & Dence, C. (1988) · Science · doi:10.1126/science.3260686 · Cited by 1,796 · cited 2× · see citing works
“Uncoupling of glucose metabolism from oxygen consumption is characteristic of the brain’s response to imposed tasks (‘‘activation’’) (Fox et al., 1988).”
Self-citationAstrocyte-Neuron Lactate Transport Is Required for Long-Term Memory Formation
Suzuki, A., Stern, S. A., Bozdagi, O., Huntley, G. W., Walker, R. H., Magistretti, P. J., & Alberini, C. M. (2011) · Cell · doi:10.1016/j.cell.2011.02.018 · Cited by 1,711 · cited 1× · see citing works
“It also stimulates gene expression related to long-term memory (Barros, 2013; Suzuki et al., 2011).”
Common variants conferring risk of schizophrenia
†Genetic Risk and Outcome in Psychosis (GROUP), Stefansson, H., Ophoff, R. A., Steinberg, S., Andreassen, O. A., Cichon, S., Rujescu, D., Werge, T., Pietiläinen, O. P. H., Mors, O., et al. (2009) · Nature · doi:10.1038/nature08186 · Cited by 1,677 · cited 1× · see citing works
“Other top 116 associations with aerobic glycolysis included potassium ion channels, genes implicated in synaptic transmission and plasticity, neuropeptides and neuropeptide receptors, and NRGN (neurogranin), a gene implicated in schizophrenia (Stefansson et al., 2009).”
Raichle, M. E., & Mintun, M. A. (2006) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.29.051605.112819 · Cited by 1,630 · cited 1× · see citing works
“Most of this glucose is oxidized in order to supply the large amounts of ATP required to maintain membrane ion gradients and other cellular processes related to synaptic transmission (Attwell and Laughlin, 2001; Lennie, 2003; Raichle and Mintun, 2006; Sibson et al., 1997, 1998).”
Self-citationPositron emission tomography study of human brain functional development
Chugani, H. T., Phelps, M. E., & Mazziotta, J. C. (1987) · Annals of Neurology · doi:10.1002/ana.410220408 · Cited by 1,548 · cited 1× · see citing works
“…stages of life, including premature neonates, growing normal children, young adults, and the elderly (Altman et al., 1993; Burns and Tyrrell, 1992; Chugani et al., 1987; Frewen et al., 1991; Himwich et al., 1959; Kennedy and Sokoloff, 1957; Kinnala et al., 1996; Kuhl et al., 1982; Leenders et…”
Extraordinary neoteny of synaptic spines in the human prefrontal cortex
Petanjek, Z., Judaš, M., Šimić, G., Rašin, M. R., Uylings, H. B. M., Rakic, P., & Kostović, I. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1105108108 · Cited by 1,411 · cited 1× · see citing works
“More recently, the concept has been broadened to encompass within-species delayed maturation of specific features (Petanjek et al., 2011).”
Cooperation and Competition in the Evolution of ATP-Producing Pathways
Pfeiffer, T., Schuster, S., & Bonhoeffer, S. (2001) · Science · doi:10.1126/science.1058079 · Cited by 1,365 · cited 1× · see citing works
“Bacteria evolve according to this tradeoff to occupy niches on the basis of either high ATP yield or rapid growth (Pfeiffer et al., 2001; Schuetz et al., 2012).”
Basic Neurochemistry???Molecular, Cellular, and Medical Aspects
Long, D. M. (2006) · Neurosurgery Quarterly · doi:10.1097/01.wnq.0000203279.82150.41 · Cited by 1,288 · see citing works
Variability, compensation and homeostasis in neuron and network function
Marder, E., & Goaillard, J.-M. (2006) · Nature Reviews Neuroscience · doi:10.1038/nrn1949 · Cited by 1,212 · cited 1× · see citing works
“More specifically, we hypothesize that AG supports synaptic and neurite formation as well as turnover, which most likely persists throughout the lifespan (Goyal and Raichle, 2013; Marder and Goaillard, 2006).”
The cost of cortical computation.
Lennie, P. (2003) · Current Biology · doi:10.1016/s0960-9822(03)00135-0 · Cited by 1,134 · cited 1× · see citing works
“Most of this glucose is oxidized in order to supply the large amounts of ATP required to maintain membrane ion gradients and other cellular processes related to synaptic transmission (Attwell and Laughlin, 2001; Lennie, 2003; Raichle and Mintun, 2006; Sibson et al., 1997, 1998).”
CEREBRAL BLOOD FLOW, BLOOD VOLUME AND OXYGEN UTILIZATION
Leenders, K. L., Perani, D., Lammertsma, A. A., Heather, J. D., Buckingham, P. D., Jones, T., Healy, M. J. R., GIBBS, J. M., WISE, R. J. S., Hatazawa, J., et al. (1990) · Brain · doi:10.1093/brain/113.1.27 · Cited by 1,094 · cited 1× · see citing works
“…Tyrrell, 1992; Chugani et al., 1987; Frewen et al., 1991; Himwich et al., 1959; Kennedy and Sokoloff, 1957; Kinnala et al., 1996; Kuhl et al., 1982; Leenders et al., 1990; Pantano et al., 1984; Perlmutter et al., 1987; Petit-Taboué et al., 1998; 50 Cell Metabolism 19, 49–57, January 7, 2014 ª2014…”
Stoichiometric coupling of brain glucose metabolism and glutamatergic neuronal activity.
Sibson, N. R., Dhankhar, A., Mason, G. F., Rothman, D. L., Behar, K. L., & Shulman, R. G. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.1.316 · Cited by 897 · cited 1× · see citing works
“Most of this glucose is oxidized in order to supply the large amounts of ATP required to maintain membrane ion gradients and other cellular processes related to synaptic transmission (Attwell and Laughlin, 2001; Lennie, 2003; Raichle and Mintun, 2006; Sibson et al., 1997, 1998).”
Neural activity triggers neuronal oxidative metabolism followed by astrocytic glycolysis
Kasischke, K. A., Vishwasrao, H. D., Fisher, P. J., Zipfel, W. R., & Webb, W. W. (2004) · Science · doi:10.1126/science.1096485 · Cited by 742 · cited 1× · see citing works
“Some fraction of the resulting lactate may be taken up by neurons; this process is known as the ‘‘astrocyte-neuron lactate shuttle’’ (Kasischke et al., 2004).”
Regional aerobic glycolysis in the human brain
Vaishnavi, S. N., Vlassenko, A. G., Rundle, M. M., Snyder, A. Z., Mintun, M. A., & Raichle, M. E. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1010459107 · Cited by 738 · cited 16× · see citing works
“AG correlates with centrality as defined by large-scale, structural, and resting state functional connectivity studies of the human brain (Bullmore and Sporns, 2012; Vaishnavi et al., 2010).”
InfluentialSelf-citationCirculation and Energy Metabolism of the Brain
Clarke, D. D., & Sokoloff, L. (1999) · Cited by 672 · see citing works
Metabolic flux and the regulation of mammalian cell growth
Locasale, J. W., & Cantley, L. C. (2011) · Cell Metabolism · doi:10.1016/j.cmet.2011.07.014 · Cited by 449 · cited 2× · see citing works
“AG is a prominent feature of cancer cell metabolism; its main role is thought to be the support of biosynthetic pathways required for cellular proliferation (Locasale and Cantley, 2011; Lunt and Vander Heiden, 2011).”
Multidimensional Optimality of Microbial Metabolism
Schuetz, R., Zamboni, N., Zampieri, M., Heinemann, M., & Sauer, U. (2012) · Science · doi:10.1126/science.1216882 · Cited by 420 · cited 1× · see citing works
“Bacteria evolve according to this tradeoff to occupy niches on the basis of either high ATP yield or rapid growth (Pfeiffer et al., 2001; Schuetz et al., 2012).”
Bidirectional modulation of synaptic functions by Eph/ephrin signaling
Klein, R. (2008) · Nature Neuroscience · doi:10.1038/nn.2231 · Cited by 419 · cited 1× · see citing works
“Ephrins and ephrin receptors are known to support a variety of development and remodeling functions, including the regulation of axon guidance and development of dendritic filopodia (Klein, 2009).”
Transcriptional neoteny in the human brain
Somel, M., Franz, H., Zheng, Y., Lorenc, A., Guo, S., Giger, T., Kelso, J. F., Nickel, B., Dannemann, M., Bahn, S., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0900544106 · Cited by 409 · cited 6× · see citing works
“The regional neoteny index was calculated as the number of genes (effectively, the percentage of genes) demonstrating significant neoteny on the basis of themethod of Somel et al. (2009).”
InfluentialSpatial correlation between brain aerobic glycolysis and amyloid-β (Aβ) deposition
Vlassenko, A. G., Vaishnavi, S. N., Couture, L., Sacco, D., Shannon, B. J., Mach, R. H., Morris, J. C., Raichle, M. E., & Mintun, M. A. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1010461107 · Cited by 404 · cited 2× · see citing works
“Furthermore, AG identifies regions most vulnerable to amyloid-beta deposition in Alzheimer’s disease (Vlassenko et al., 2010).”
Self-citationRegional cerebral blood flow and oxygen consumption in human aging
Pantano, P., Baron, J. C., Lebrun-Grandié, P., Duquesnoy, N., Bousser, M. G., & Comar, D. (1984) · Stroke · doi:10.1161/01.str.15.4.635 · Cited by 341 · cited 1× · see citing works
“…et al., 1987; Frewen et al., 1991; Himwich et al., 1959; Kennedy and Sokoloff, 1957; Kinnala et al., 1996; Kuhl et al., 1982; Leenders et al., 1990; Pantano et al., 1984; Perlmutter et al., 1987; Petit-Taboué et al., 1998; 50 Cell Metabolism 19, 49–57, January 7, 2014 ª2014 Elsevier…”
Kuhl, D. E., Metter, E. J., Riege, W. H., & Phelps, M. E. (1982) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.1982.15 · Cited by 338 · cited 1× · see citing works
“…1993; Burns and Tyrrell, 1992; Chugani et al., 1987; Frewen et al., 1991; Himwich et al., 1959; Kennedy and Sokoloff, 1957; Kinnala et al., 1996; Kuhl et al., 1982; Leenders et al., 1990; Pantano et al., 1984; Perlmutter et al., 1987; Petit-Taboué et al., 1998; 50 Cell Metabolism 19, 49–57,…”
Lu, C.-W., Lin, S., Chen, K., Lai, Y.-Y., & Tsai, S. (2008) · Journal of Biological Chemistry · doi:10.1074/jbc.m803508200 · Cited by 331 · cited 1× · see citing works
“Indeed, the upregulation of PDK3 acts as a switch for aerobic glycolysis in certain cancer cell lines (Lu et al., 2008).”
Metabolic signaling by lactate in the brain
Barros, L. F. (2013) · Trends in Neurosciences · doi:10.1016/j.tins.2013.04.002 · Cited by 326 · cited 2× · see citing works
“Lactate has metabolic signaling functions (Barros, 2013).”
Sibson, N. R., Dhankhar, A., Mason, G. F., Behar, K. L., Rothman, D. L., & Shulman, R. G. (1997) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.94.6.2699 · Cited by 321 · cited 1× · see citing works
“Most of this glucose is oxidized in order to supply the large amounts of ATP required to maintain membrane ion gradients and other cellular processes related to synaptic transmission (Attwell and Laughlin, 2001; Lennie, 2003; Raichle and Mintun, 2006; Sibson et al., 1997, 1998).”
Strategies for aggregating gene expression data: The collapseRows R function
Miller, J. A., Cai, C., Langfelder, P., Geschwind, D. H., Kurian, S. M., Salomon, D. R., & Horvath, S. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-322 · Cited by 300 · cited 3× · see citing works
“The 116 AGassociated genes were analyzed with three gene ontology methods, including GeneMANIA (Warde-Farley et al., 2010), DAVID (Huang da et al., 2009), and userListEnrichmentR (Miller et al., 2011) (Table 1, see also Tables S3 and S4).”
Self-citationKennedy, C., & Sokoloff, L. (1957) · Journal of Clinical Investigation · doi:10.1172/jci103509 · Cited by 300 · cited 1× · see citing works
“…young adults, and the elderly (Altman et al., 1993; Burns and Tyrrell, 1992; Chugani et al., 1987; Frewen et al., 1991; Himwich et al., 1959; Kennedy and Sokoloff, 1957; Kinnala et al., 1996; Kuhl et al., 1982; Leenders et al., 1990; Pantano et al., 1984; Perlmutter et al., 1987;…”
Cerebral energetics and the glycogen shunt: Neurochemical basis of functional imaging
Shulman, R. G., Hyder, F., & Rothman, D. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.101129298 · Cited by 299 · cited 1× · see citing works
“Measured AG may also represent lactate efflux generated by glycolysis or a glycogen shunt in order to rapidly supply ATP at intensely active synapses (Shulman et al., 2001).”
Raichle, M. E., Posner, J. B., & Plum, F. (1970) · Archives of Neurology · doi:10.1001/archneur.1970.00480290014002 · Cited by 273 · cited 2× · see citing works
“In normal, awake, resting adult humans, lactate efflux most likely accounts for 20% of this excess glucose consumption (Madsen et al., 1995; Raichle et al., 1970), though estimates vary (Dalsgaard et al., 2004).”
Self-citationMadsen, P. L., Hasselbalch, S. G., Hagemann, L. P., Olsen, K. S., Bülow, J., Holm, S., Wildschiødtz, G., Paulson, O. B., & Lassen, N. A. (1995) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.1995.60 · Cited by 264 · cited 4× · see citing works
“In normal, awake, resting adult humans, lactate efflux most likely accounts for 20% of this excess glucose consumption (Madsen et al., 1995; Raichle et al., 1970), though estimates vary (Dalsgaard et al.”
InfluentialPetit-Taboué, M. C., Landeau, B., Desson, J. F., Desgranges, B., & Baron, J. C. (1998) · NeuroImage · doi:10.1006/nimg.1997.0318 · Cited by 221 · cited 1× · see citing works
“…1959; Kennedy and Sokoloff, 1957; Kinnala et al., 1996; Kuhl et al., 1982; Leenders et al., 1990; Pantano et al., 1984; Perlmutter et al., 1987; Petit-Taboué et al., 1998; 50 Cell Metabolism 19, 49–57, January 7, 2014 ª2014 Elsevier Inc. Scheinberg et al., 1953; Takahashi et al., 1999; Yoxall…”
Boyle, P. J., Scott, J. C., Krentz, A. J., Nagy, R. J., Comstock, E., & Hoffman, C. (1994) · Journal of Clinical Investigation · doi:10.1172/jci117003 · Cited by 202 · cited 9× · see citing works
“(B) CMRglc (blue), CMRO2 (red), and CBF (orange) were plotted across the lifespan as normalized proportions of average adult values.”
InfluentialDevelopmental changes of cerebral blood flow and oxygen metabolism in children.
Takahashi, T., Shirane, R., Sato, S., & Yoshimoto, T. (1999) · PubMed Central · Cited by 194 · see citing works
Dalsgaard, M. K., Quistorff, B., Danielsen, E. R., Selmer, C., Vogelsang, T. W., & Secher, N. H. (2003) · The Journal of Physiology · doi:10.1113/jphysiol.2003.055053 · Cited by 191 · cited 1× · see citing works
“In normal, awake, resting adult humans, lactate efflux most likely accounts for 20% of this excess glucose consumption (Madsen et al., 1995; Raichle et al., 1970), though estimates vary (Dalsgaard et al., 2004).”
Selective defect of in vivo glycolysis in early Huntington's disease striatum
Powers, W. J., Videen, T. O., Markham, J., McGee‐Minnich, L., Antenor‐Dorsey, J. A. V., Hershey, T. G., & Perlmutter, J. S. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0609833104 · Cited by 174 · cited 1× · see citing works
“…quantitative measurements of brain metabolism reveal that approximately 10%–12% of the total glucose consumed by a normal adult brain (CMRglc) is in excess of oxygen consumption C (CMRO2) (Boyle et al., 1994; Madsen et al., 1995; Powers et al., 2007; Raichle et al., 1970; Vaishnavi et al., 2010).”
Cerebral Oxygen Metabolism in Newborns
Altman, D. I., Perlman, J. M., Volpe, J. J., & Powers, W. J. (1993) · PEDIATRICS · doi:10.1542/peds.92.1.99 · Cited by 171 · cited 1× · see citing works
“…glucose and oxygen consumption during various stages of life, including premature neonates, growing normal children, young adults, and the elderly (Altman et al., 1993; Burns and Tyrrell, 1992; Chugani et al., 1987; Frewen et al., 1991; Himwich et al., 1959; Kennedy and Sokoloff, 1957; Kinnala et…”
Increased lactate/pyruvate ratio augments blood flow in physiologically activated human brain
Mintun, M. A., Vlassenko, A. G., Rundle, M. M., & Raichle, M. E. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0307457100 · Cited by 157 · cited 2× · see citing works
“Lactate affects the redox state of neurons, thereby directing glycolytic intermediates toward biosynthetic pathways as well as increasing neuronal excitability (Cerdán et al., 2006; Ido et al., 2004; Mintun et al., 2004).”
Self-citationPavlides, S., Tsirigos, A., Vera, I., Flomenberg, N., Frank, P. G., Casimiro, M. C., Wang, C., Pestell, R. G., Martinez‐Outschoorn, U., Howell, A., et al. (2010) · Aging · doi:10.18632/aging.100134 · Cited by 151 · cited 1× · see citing works
“In neurons, lactatemay spare some glucose from oxidative phosphorylation; this glucose then may contribute three-carbon fragments to anabolic pathways used for creating or turning over synapses (Pavlides et al., 2010; Vaishnavi et al., 2010).”
The redox switch/redox coupling hypothesis
Cerdán, S., Rodrigues, T. B., Sierra, A., Benito, M., Fonseca, L. L., Fonseca, C. P., & García-Martín, M. L. (2006) · Neurochemistry International · doi:10.1016/j.neuint.2005.12.036 · Cited by 146 · cited 2× · see citing works
“Lactate affects the redox state of neurons, thereby directing glycolytic intermediates toward biosynthetic pathways as well as increasing neuronal excitability (Cerdán et al., 2006; Ido et al., 2004; Mintun et al., 2004).”
Cerebral Blood Flow and Metabolism in Normal Human Aging, Pathological Aging, and Senile Dementia
Dastur, D. K. (1985) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.1985.1 · Cited by 139 · cited 3× · see citing works
“The decrease in AG from young adulthood to a C mean age in the 70s has been described previously (Dastur, 1985); in that study, the whole-brain OGI was 4.7 in normal subjects with mean age 21 in comparison to an OGI of 5.9 in older subjects with mean age of 71.”
InfluentialHuman neoteny revisited: The case of synaptic plasticity
Bufill, E., Agustí, J., & Blesa, R. (2011) · American Journal of Human Biology · doi:10.1002/ajhb.21225 · Cited by 130 · cited 2× · see citing works
“Given the present findings, it is intriguing to consider the possibility that amyloid deposition is linked to high rates of synaptic turnover (Bufill et al., 2011; Nikolaev et al., 2009).”
Perlmutter, J. S., Powers, W. J., Herscovitch, P., Fox, P. T., & Raichle, M. E. (1987) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.1987.9 · Cited by 125 · cited 1× · see citing works
“…al., 1991; Himwich et al., 1959; Kennedy and Sokoloff, 1957; Kinnala et al., 1996; Kuhl et al., 1982; Leenders et al., 1990; Pantano et al., 1984; Perlmutter et al., 1987; Petit-Taboué et al., 1998; 50 Cell Metabolism 19, 49–57, January 7, 2014 ª2014 Elsevier Inc. Scheinberg et al., 1953;…”
Self-citationKinnala, A., Suhonen-Polvi, H., Äärimaa, T., Kero, P., Korvenranta, H., Ruotsalainen, U., Bergman, J. R., Haaparanta‐Solin, M., Solin, O. H., Nuutila, P., et al. (1996) · Archives of Disease in Childhood Fetal & Neonatal · doi:10.1136/fn.74.3.f153 · Cited by 119 · cited 1× · see citing works
“…elderly (Altman et al., 1993; Burns and Tyrrell, 1992; Chugani et al., 1987; Frewen et al., 1991; Himwich et al., 1959; Kennedy and Sokoloff, 1957; Kinnala et al., 1996; Kuhl et al., 1982; Leenders et al., 1990; Pantano et al., 1984; Perlmutter et al., 1987; Petit-Taboué et al., 1998; 50 Cell…”
Hyder, F., Fulbright, R. K., Shulman, R. G., & Rothman, D. L. (2013) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2012.207 · Cited by 117 · cited 1× · see citing works
“A recent meta-analysis of studies on human brain oxygen and glucose consumption identified a similar regional variance of AG (Hyder et al., 2013).”
In vivo ^ C NMR measurements of cerebral synthesis as evidence for glutamate-glutamine cycling
Sibson, N. (1997) · Medical Entomology and Zoology · Cited by 107 · see citing works
YOXALL, C. W., & Weindling, A. M. (1998) · Pediatric Research · doi:10.1203/00006450-199809000-00004 · Cited by 101 · cited 1× · see citing works
“…Sokoloff, 1957; Kinnala et al., 1996; Kuhl et al., 1982; Leenders et al., 1990; Pantano et al., 1984; Perlmutter et al., 1987; Petit-Taboué et al., 1998; 50 Cell Metabolism 19, 49–57, January 7, 2014 ª2014 Elsevier Inc. Scheinberg et al., 1953; Takahashi et al., 1999; Yoxall and Weindling, 1998).”
EFFECTS OF AGING ON CEREBRAL CIRCULATION AND METABOLISM
Scheinberg, P. (1953) · Archives of Neurology And Psychiatry · doi:10.1001/archneurpsyc.1953.02320310083007 · Cited by 97 · cited 1× · see citing works
“…Sokoloff, 1957; Kinnala et al., 1996; Kuhl et al., 1982; Leenders et al., 1990; Pantano et al., 1984; Perlmutter et al., 1987; Petit-Taboué et al., 1998; 50 Cell Metabolism 19, 49–57, January 7, 2014 ª2014 Elsevier Inc. Scheinberg et al., 1953; Takahashi et al., 1999; Yoxall and Weindling, 1998).”
Of coiled oysters and big brains: how to rescue the terminology of heterochrony, now gone astray
Gould, S. J. (2000) · Evolution & Development · doi:10.1046/j.1525-142x.2000.00067.x · Cited by 94 · cited 1× · see citing works
“Neoteny traditionally has been assessed in terms of cross-species comparisons (Gould, 2000).”
NADH augments blood flow in physiologically activated retina and visual cortex
Ido, Y., Chang, K. C., & Williamson, J. R. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0307458100 · Cited by 88 · cited 2× · see citing works
“Lactate affects the redox state of neurons, thereby directing glycolytic intermediates toward biosynthetic pathways as well as increasing neuronal excitability (Cerdán et al., 2006; Ido et al., 2004; Mintun et al., 2004).”
OrderedList—a bioconductor package for detecting similarity in ordered gene lists
Lottaz, C., Yang, X. H., Scheid, S., et al. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl385 · Cited by 67 · cited 1× · see citing works
“Similarity among rank-ordered gene lists was computed with OrderedListR (Lottaz et al., 2006).”
Gene expression-based modeling of human cortical synaptic density
Goyal, M. S., & Raichle, M. E. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1303453110 · Cited by 37 · cited 1× · see citing works
“More specifically, we hypothesize that AG supports synaptic and neurite formation as well as turnover, which most likely persists throughout the lifespan (Goyal and Raichle, 2013; Marder and Goaillard, 2006).”
Self-citationFrewen, T. C., Kissoon, N. “., Kronick, J. B., Fox, M., Lee, R., Bradwin, N., & CHANCE, G. W. (1991) · The Journal of Pediatrics · doi:10.1016/s0022-3476(05)80500-1 · Cited by 35 · cited 1× · see citing works
“…premature neonates, growing normal children, young adults, and the elderly (Altman et al., 1993; Burns and Tyrrell, 1992; Chugani et al., 1987; Frewen et al., 1991; Himwich et al., 1959; Kennedy and Sokoloff, 1957; Kinnala et al., 1996; Kuhl et al., 1982; Leenders et al., 1990; Pantano et…”
Association of Age with Regional Cerebral Oxygen Utilization: A Positron Emission Tomography Study
Burns, A. S., & Tyrrell, P. J. (1992) · Age and Ageing · doi:10.1093/ageing/21.5.316 · Cited by 23 · cited 1× · see citing works
“…during various stages of life, including premature neonates, growing normal children, young adults, and the elderly (Altman et al., 1993; Burns and Tyrrell, 1992; Chugani et al., 1987; Frewen et al., 1991; Himwich et al., 1959; Kennedy and Sokoloff, 1957; Kinnala et al., 1996; Kuhl et…”
Sample matching by inferred agonal stress in gene expression analyses of the brain
Li, J. Z., Meng, F., Tsavaler, L., Evans, S. J., Choudary, P. V., Tomita, H., Vawter, M. P., Walsh, D. M. A., Shokoohi, V., Chung, T. R., et al. (2007) · BMC Genomics · doi:10.1186/1471-2164-8-336 · Cited by 19 · cited 1× · see citing works
“There was also gene enrichment for proteins found in the human postsynaptic density but no significant enrichment of genes related to glycolysis or genes regulated by agonal stress (Langfelder and Horvath, 2008; Li et al., 2007).”
Metabolic studies on perinatal human brain
Himwich, W. A., Benaron, H. B. W., Tucker, B. E., et al. (1959) · Journal of Applied Physiology · doi:10.1152/jappl.1959.14.6.873 · Cited by 17 · cited 1× · see citing works
“…growing normal children, young adults, and the elderly (Altman et al., 1993; Burns and Tyrrell, 1992; Chugani et al., 1987; Frewen et al., 1991; Himwich et al., 1959; Kennedy and Sokoloff, 1957; Kinnala et al., 1996; Kuhl et al., 1982; Leenders et al., 1990; Pantano et al., 1984; Perlmutter et…”
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The brain's default mode network
Raichle, M. E. (2015) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071013-014030 · Cited by 3,904 · see citing works
Self-citationThe Neurovascular Unit Coming of Age: A Journey through Neurovascular Coupling in Health and Disease
Iadecola, C. (2017) · Neuron · doi:10.1016/j.neuron.2017.07.030 · Cited by 2,480 · see citing works
The return of metabolism: biochemistry and physiology of the pentose phosphate pathway
Stincone, A., Prigione, A., Cramer, T., Wamelink, M. M. C., Campbell, K., Cheung, E., Olin‐Sandoval, V., Grüning, N., Krüger, A., Tauqeer Alam, M., et al. (2015) · Biological Reviews · doi:10.1111/brv.12140 · Cited by 1,576 · see citing works
Lactate in the brain: from metabolic end-product to signalling molecule
Magistretti, P. J., & Allaman, I. (2018) · Nature Reviews Neuroscience · doi:10.1038/nrn.2018.19 · Cited by 1,298 · see citing works
A Cellular Perspective on Brain Energy Metabolism and Functional Imaging
Magistretti, P. J., & Allaman, I. (2015) · Neuron · doi:10.1016/j.neuron.2015.03.035 · Cited by 1,285 · see citing works
“…dorsolateral prefrontal cortex, the superior andmedial frontal gyrus, or the precuneus and posterior cingulate cortex, where it accounts for up to 25% of glucose utilization, whereas in other areas, such as the cerebellum, it is virtually nonexistent (Bauernfeind et al., 2014; Goyal et al., 2014).”
Background13 reasons why the brain is susceptible to oxidative stress
Cobley, J. N., Fiorello, M. L., & Bailey, D. M. (2018) · Redox Biology · doi:10.1016/j.redox.2018.01.008 · Cited by 1,215 · see citing works
Brain Glucose Metabolism: Integration of Energetics with Function
Dienel, G. A. (2018) · Physiological Reviews · doi:10.1152/physrev.00062.2017 · Cited by 877 · see citing works
A practical guide to linking brain-wide gene expression and neuroimaging data
Arnatkevičiūtė, A., Fulcher, B., & Fornito, A. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.01.011 · Cited by 806 · see citing works
“An alternative approach is to use the MNI (or voxel) coordinates of each sample (Goyal et al., 2014; Cioli et al., 2014; French and Paus, 2015; Richiardi et al., 2015; Komorowski et al., 2016; Krienen et al., 2016; Rizzo et al., 2016; Burt et al., 2018; Parkes et al., 2017; Romme et al., 2017; Shin…”
BackgroundMethodMetabolic costs and evolutionary implications of human brain development
Kuzawa, C. W., Chugani, H. T., Grossman, L. I., Lipovich, L., Muzik, O., Hof, P. R., Wildman, D. E., Sherwood, C. C., Leonard, W. R., & Lange, N. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1323099111 · Cited by 585 · see citing works
“These ratios do not indicate the percent of RMR or DER used by the brain because some brain glucose uptake (the numerator) is not used in energy production (28).”
BackgroundThe Regulation and Function of Lactate Dehydrogenase A: Therapeutic Potential in Brain Tumor
Valvona, C. J., Fillmore, H. L., Nunn, P. B., & Pilkington, G. J. (2015) · Brain Pathology · doi:10.1111/bpa.12299 · Cited by 570 · see citing works
“Recent studies have shown that the regions of the brain with the highest level of aerobic glycolysis also express increased levels of genes relating to synapse formation and growth, suggesting aerobic glycolysis could be used in brain development to support the biosynthesis required for growth, similarly to cancer cel…”
BackgroundAstrocyte-neuron metabolic cooperation shapes brain activity
Bonvento, G., & Bolaños, J. P. (2021) · Cell Metabolism · doi:10.1016/j.cmet.2021.07.006 · Cited by 580 · see citing works
The restless brain: How intrinsic activity organizes brain function
Raichle, M. E. (2015) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2014.0172 · Cited by 433 · see citing works
“Overlooked by most neuroscientists is one of the important functions performed by glycolysis which is to provide substrate for biosynthesis [21,103,122].”
BackgroundInfluentialSelf-citationEnergy metabolism in health and diseases
Liu, H., Wang, S., Wang, J., Guo, X., Song, Y., Fu, K., Gao, Z., Liu, D., He, W., & Yang, L. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02141-x · Cited by 438 · see citing works
Bridging the Gap between Connectome and Transcriptome
Fornito, A., Arnatkevičiūtė, A., & Fulcher, B. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.10.005 · Cited by 380 · see citing works
The ERK and JNK pathways in the regulation of metabolic reprogramming
Papa, S., Choy, P. M., & Bubici, C. (2018) · Oncogene · doi:10.1038/s41388-018-0582-8 · Cited by 381 · see citing works
Mitochondrial function in hypoxic ischemic injury and influence of aging
Ham, P. B., & Raju, R. P. (2016) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2016.06.006 · Cited by 367 · see citing works
“Changes in brain energetics, neuronal phosphate, and ATP metabolism occur with age (Forester et al., 2010), and elderly individuals have virtually absent global neuronal aerobic glycolysis (Goyal et al., 2014), which creates a pseudohypoxic state.”
A Synergistic Core for Human Brain Evolution and Cognition
Luppi, A. I., Mediano, P. A. M., Rosas, F. E., Holland, N., Fryer, T. D., O’Brien, J. T., Rowe, J. B., Menon, D. K., Bor, D., & Stamatakis, E. A. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01070-0 · Cited by 314 · see citing works
Loss of Brain Aerobic Glycolysis in Normal Human Aging
Goyal, M. S., Vlassenko, A. G., Blazey, T. M., Su, Y., Couture, L. E., Durbin, T. J., Bateman, R. J., Benzinger, T. L.-S., Morris, J. C., & Raichle, M. E. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.07.010 · Cited by 318 · see citing works
Self-citationMitochondria metabolism sets the species-specific tempo of neuronal development
Iwata, R., Casimir, P., Erkol, E., Boubakar, L., Planque, M., Gallego López, I. M., Ditkowska, M., Gaspariunaite, V., Beckers, S., Remans, D., et al. (2023) · Science · doi:10.1126/science.abn4705 · Cited by 312 · see citing works
“Differences in species-specificmetabolic properties of cortical neurons may influence human brain neoteny, which is consistent with previous reports of years-long periods of aerobic glycolysis in the developing human cortex (41).”
ResultLactic Acid: No Longer an Inert and End-Product of Glycolysis
Sun, S., Li, H., Chen, J., & Qian, Q. (2017) · Physiology · doi:10.1152/physiol.00016.2017 · Cited by 319 · see citing works
“In the brain, glycolysis is prominent, accounting for 10 –12% of glucose consumption (56).”
BackgroundKausar, S., Wang, F., & Cui, H. (2018) · Cells · doi:10.3390/cells7120274 · Cited by 315 · see citing works
“The brain is the central organ in living organisms and is a major consumer of oxygen to provide uninterrupted supply of energy to approximately 86 billion neurons for their daily activities, it has been estimated it uses almost 20% of the basal oxygen (O2) from the total oxygen supplied to the human body [91,92].”
BackgroundShandilya, S., Kumar, S., Jha, N. K., Kesari, K. K., & Ruokolainen, J. (2021) · Journal of Advanced Research · doi:10.1016/j.jare.2021.09.005 · Cited by 300 · see citing works
“Approximately 20% of the basal O2 is consumed by brain to support the ATP driven activity of 86 billion neurons connected by trillions of synapses, supported by 250–300 billion glia [62].”
Andrews, P. W., Bharwani, A., Lee, K. R., Fox, M., & Thomson, J. A. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.01.018 · Cited by 281 · see citing works
“All brain regions utilize a mixture of aerobic glycolysis and oxidative phosphorylation, but the highest resting rates of aerobic glycolysis occur in the DLPFC and VLPFC, while the amygdala and hippocampus have relatively low resting rates (Goyal et al., 2014; Vaishnavi et al., 2010).”
BackgroundGlucose, lactate, and shuttling of metabolites in vertebrate retinas
Hurley, J. B., Lindsay, K. J., & Du, J. (2015) · Journal of Neuroscience Research · doi:10.1002/jnr.23583 · Cited by 275 · see citing works
“3) Aerobic glycolysis accounts for 2–25% of Glc metabolism in brain (Goyal et al., 2014), but it accounts for 80–96% of glucose consumption in retina (Winkler 1981; Ames et al.”
BackgroundMetabolic reprogramming during neuronal differentiation
Agostini, M., Romeo, F., Inoue, S., Niklison-Chirou, M. V., Elia, A., Dinsdale, D. D., Morone, N., Knight, R. A., Mak, T. W., & Melino, G. (2016) · Cell Death and Differentiation · doi:10.1038/cdd.2016.36 · Cited by 268 · see citing works
“This biosynthetic role is reminiscent of the Warburg effect observed in cancer cells and it has also been recently postulated in the rapidly growing human child brain.(53) Moreover, ATP levels are reduced after 2-DG treatment, suggesting that glycolysis may be a major source of ATP early in the differentiation process…”
BackgroundPleiotropic Mitochondria: The Influence of Mitochondria on Neuronal Development and Disease
Rangaraju, V., Lewis, T. L., Hirabayashi, Y., Bergami, M., Motori, E., Cartoni, R., Kwon, S., & Courchet, J. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.1157-19.2019 · Cited by 257 · see citing works
“, 1981; Attwell and Laughlin, 2001), with even higher metabolic requirements during development (Goyal et al., 2014; Kuzawa et al., 2014).”
BackgroundImpact of puberty on the evolution of cerebral perfusion during adolescence
Satterthwaite, T., Shinohara, R., Wolf, D., Hopson, R., Elliott, M., Vandekar, S., Ruparel, K., Calkins, M., Roalf, D., Gennatas, E. D., et al. (2014) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.1400178111 · Cited by 244 · see citing works
“CBF decline in childhood and adolescence has previously been found to be tightly linked to the decline of glucose metabolism (62).”
BackgroundA transcriptional signature of hub connectivity in the mouse connectome
Fulcher, B., & Fornito, A. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1513302113 · Cited by 227 · see citing works
“Although many aspects of gene expression in the brain show a developmentally persistent profile (35), it is unclear whether the same transcriptional signature of hub connectivity would be apparent throughout development.”
BackgroundInfluentialVértes, P. E., Rittman, T., Whitaker, K. J., Romero-García, R., Váša, F., Kitzbichler, M. G., Wagstyl, K., Fonagy, P., Dolan, R. J., Jones, P. B., et al. (2016) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2015.0362 · Cited by 200 · see citing works
Deep learning-based brain age prediction in normal aging and dementia
Lee, J., Burkett, B. J., Min, H.-K. P., Senjem, M. L., Lundt, E. S., Botha, H., Graff‐Radford, J., Barnard, L. R., Gunter, J. L., Schwarz, C. G., et al. (2022) · Nature Aging · doi:10.1038/s43587-022-00219-7 · Cited by 208 · see citing works
Morland, C., Lauritzen, K. H., Puchades, M. A., Holm‐Hansen, S., Andersson, K. A., GJEDDE, A. H., Attramadal, H., Storm‐Mathisen, J., & Bergersen, L. H. (2015) · Journal of Neuroscience Research · doi:10.1002/jnr.23593 · Cited by 210 · see citing works
Glucose metabolic crosstalk and regulation in brain function and diseases
Zhang, S., Lachance, B. B., Mattson, M. P., & Jia, X. (2021) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2021.102089 · Cited by 205 · see citing works
The sense of should: A biologically-based framework for modeling social pressure
Theriault, J. E., Young, L., & Barrett, L. F. (2021) · Physics of Life Reviews · doi:10.1016/j.plrev.2020.01.004 · Cited by 201 · see citing works
Jha, M. K., & Morrison, B. M. (2018) · Experimental Neurology · doi:10.1016/j.expneurol.2018.07.009 · Cited by 203 · see citing works
Lactate from astrocytes fuels learning-induced mRNA translation in excitatory and inhibitory neurons
Descalzi, G., Gao, V., Steinman, M. Q., Suzuki, A., & Alberini, C. M. (2019) · Communications Biology · doi:10.1038/s42003-019-0495-2 · Cited by 188 · see citing works
Is “efficiency” a useful concept in cognitive neuroscience?
Poldrack, R. A. (2014) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2014.06.001 · Cited by 188 · see citing works
“In particular, a recent meta-analysis by Goyal et al. (2014) showed that aerobic glycolysis is greatly increased during childhood, and that regional increases in glycolysis are associated with expression of genes related to synaptic development.”
Persistent metabolic youth in the aging female brain
Goyal, M. S., Blazey, T., Su, Y., Couture, L. E., Durbin, T. J., Bateman, R. J., Benzinger, T. L. S., Morris, J. C., Raichle, M. E., & Vlassenko, A. G. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1815917116 · Cited by 178 · see citing works
“Our recent multitracer PET brain imaging data demonstrate that as the brain ages, its resting metabolism gradually shifts away from a mixture of nonoxidative and oxidative use of glucose to predominantly oxidative metabolism (4, 5).”
BackgroundSelf-citationCultivating Healthy Growth and Nutrition through the Gut Microbiota
Subramanian, S., Blanton, L. V., Frese, S. A., Charbonneau, M. R., Mills, D. A., & Gordon, J. I. (2015) · Cell · doi:10.1016/j.cell.2015.03.013 · Cited by 164 · see citing works
“Approximately 30% of the glucose consumed by the infant brain is accounted for by aerobic glycolysis (versus 12% in adults) (Goyal et al., 2014).”
Brain Fuel Utilization in the Developing Brain
Steiner, P. (2019) · Annals of Nutrition and Metabolism · doi:10.1159/000508054 · Cited by 159 · see citing works
Glutamate synthesis has to be matched by its degradation – where do all the carbons go?
Sonnewald, U. (2014) · Journal of Neurochemistry · doi:10.1111/jnc.12812 · Cited by 155 · see citing works
Goyal, M. S., Venkatesh, S., Milbrandt, J., Gordon, J. I., & Raichle, M. E. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1511465112 · Cited by 141 · see citing works
Self-citationMolecular properties underlying regional vulnerability to Alzheimer’s disease pathology
Grothe, M. J., Sepulcre, J., Gonzalez-Escamilla, G., Jelistratova, I., Schöll, M., Hansson, O., Teipel, S. J., & Initiative, A. D. N. (2018) · Brain · doi:10.1093/brain/awy189 · Cited by 142 · see citing works
“, 2017) and functional (Goyal et al., 2014; Hawrylycz et al., 2015; Richiardi et al., 2015; Wang et al., 2015; Krienen et al., 2016) brain tissue characteristics, and may thus be”
BackgroundAn information-theoretic perspective on the costs of cognition
Zénon, A., Solopchuk, O., & Pezzulo, G. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.09.013 · Cited by 142 · see citing works
“It is modulated by arousal (Dienel and Cruz, 2016) and while the function of aerobic glycolysis remains debated, it may be linked to cortical plasticity (Goyal et al., 2014) and the replenishment of glutamate and GABA reserves (Hertz and Chen, 2017).”
BackgroundSynapses: The Brain’s Energy-Demanding Sites
Faria‐Pereira, A., & Morais, V. A. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23073627 · Cited by 145 · see citing works
“Developmentally, these high glycolytic rates correlate with the highest rates of synaptogenesis and axonal and synaptic growth [77], suggesting that, besides supporting energetic demands, glycolysis is also important to support synaptic growth and formation through biosynthetic pathways [55,77].”
BackgroundImaging Adenosine Triphosphate (ATP)
Rajendran, M., Dane, E. L., Conley, J. M., & Tantama, M. (2016) · Biological Bulletin · doi:10.1086/689592 · Cited by 135 · see citing works
Conservative and disruptive modes of adolescent change in human brain functional connectivity
Váša, F., Romero-García, R., Kitzbichler, M. G., Seidlitz, J., Whitaker, K. J., Vaghi, M. M. S., Kundu, P., Patel, A. X., Fonagy, P., Dolan, R. J., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1906144117 · Cited by 131 · see citing works
“2C) with 9 independently produced maps of a range of brain functional and developmental parameters, including 1) evolutionary and postnatal surface expansion of the cortex (27); 2) metabolic rates of glucose, oxygen, and aerobic glycolysis (AG) measured by positron emission tomography (PET) (28); 3) microarray measure…”
Glycolytic Metabolism, Brain Resilience, and Alzheimer’s Disease
Zhang, X., Alshakhshir, N., & Zhao, L. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.662242 · Cited by 134 · see citing works
Liang, K. J., & Carlson, E. S. (2019) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2019.01.004 · Cited by 131 · see citing works
Lindsay, K. J., Du, J., Sloat, S. R., Contreras, L., Linton, J. D., Turner, S. J., Sadilek, M., Satrústegui, J., & Hurley, J. B. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1412441111 · Cited by 131 · see citing works
“However, retina and brain have different functions and structures that influence the nature of the interactions between their neurons and glia: i) Aerobic glycolysis accounts for 2–25% of Glc metabolism in brain (3), but it accounts for 80–96% of it in retina (4–6).”
BackgroundInfluentialXiong, X., Pan, X., Luo, X.-X., Wang, Y.-F., Zhang, X., Yang, S.-H., Zhong, Z., Liu, C., Chen, Q., Wang, P.-F., et al. (2024) · Theranostics · doi:10.7150/thno.96375 · Cited by 130 · see citing works
“In addition, it is interesting that the relatively large glycolytic capacity of brain tissue is most likely attributed to astrocytes [40, 41], and increasing evidence shows that the astrocyte-neuron lactate shuttle is the main way by which lactate transfers to neurons to meet the neuronal energy…”
BackgroundZhou, L., Qiu, W., Wang, J., Zhao, A., Zhou, C., Sun, T., Xiong, Z., Cao, P., Shen, W., Chen, J., et al. (2023) · Cell Host & Microbe · doi:10.1016/j.chom.2023.05.022 · Cited by 124 · see citing works
Brain energetics during the sleep-wake cycle
DiNuzzo, M., & Nedergaard, M. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.09.010 · Cited by 130 · see citing works
Socially responsive effects of brain oxidative metabolism on aggression
Li‐Byarlay, H., Rittschof, C. C., Massey, J. H., Pittendrigh, B. R., & Robinson, G. E. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1412306111 · Cited by 120 · see citing works
“Variation in glucose uptake and metabolism in the brain (9, 12) could have a variety of functional outcomes.”
BackgroundInfluentialGenetic and phylogenetic uncoupling of structure and function in human transmodal cortex
Valk, S. L., Xu, T., Paquola, C., Park, B., Bethlehem, R. A. I., de Wael, R. V., Royer, J., Masouleh, S. K., Bayrak, Ş., Kochunov, P. V., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-29886-1 · Cited by 118 · see citing works
“In the adult brain, regions of transmodal cortex are associated with higher degrees of synapse formation and growth, as measured by aerobic glycolysis 69 .”
Hierarchical functional system development supports executive function
Keller, A. S., Sydnor, V. J., Pines, A. R., Fair, D. A., Bassett, D. S., & Satterthwaite, T. D. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2022.11.005 · Cited by 123 · see citing works
Neoteny, Prolongation of Youth: From Naked Mole Rats to “Naked Apes” (Humans)
Skulachev, V. P., Holtze, S., Vyssokikh, M. Y., Bakeeva, L. E., Skulachev, M. V., Markov, A. V., Hildebrandt, T. B., & Садовничий, В. А. (2017) · Physiological Reviews · doi:10.1152/physrev.00040.2015 · Cited by 114 · see citing works
“This suggests that neoteny is inherent in the development of human brain regions with high energy demands that are required for cognitive and memory-related functions (24, 52).”
BackgroundAerobic glycolysis and tau deposition in preclinical Alzheimer's disease
Vlassenko, A. G., Gordon, B. A., Goyal, M. S., Su, Y., Blazey, T. M., Durbin, T. J., Couture, L. E., Christensen, J. J., Jafri, H., Morris, J. C., et al. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.03.014 · Cited by 107 · see citing works
Self-citationMetabolic changes favor the activity and heterogeneity of reactive astrocytes
Xiong, X., Tang, Y., & Yang, Q. (2022) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2022.03.001 · Cited by 109 · see citing works
“The astrocytes’ glycolytic capacity is important for brain tissues [27,28] because the increased glycolysis in astrocytes is critical not only for their survival during hypoxia [34] but also in the regulation of brain diseases.”
Althubaity, N., Schubert, J. J., Martins, D., Yousaf, T., Nettis, M. A., Mondelli, V., Pariante, C. M., Harrison, N. A., Bullmore, E. T., Dima, D., et al. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102926 · Cited by 108 · see citing works
“CRP was used as the main marker of a peripheral inflammation, consistent with other studies in MDD (Howren et al., 2009; Haapakoski et al., 2015).”
ResultImaging transcriptomics of brain disorders
Arnatkeviciute, A., Fulcher, B. D., Bellgrove, M. A., & Fornito, A. (2022) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2021.10.002 · Cited by 113 · see citing works
“While many genes show neotenous patterns of expression (30), many others show marked changes in transcriptional”
BackgroundEarly remodeling of the neocortex upon episodic memory encoding
Bero, A. W., Meng, J., Cho, S., Shen, A. H., Canter, R. G., Ericsson, M., & Tsai, L. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1408378111 · Cited by 106 · see citing works
“Indeed, elevated aerobic glycolysis in the mPFC is closely associated with enhanced expression of genes related to synaptic remodeling and memory formation (45).”
BackgroundGSEA of mouse and human mitochondriomes reveals fatty acid oxidation in astrocytes
Eraso‐Pichot, A., Brasó‐Vives, M., Golbano, A., Menacho, C., Claro, E., Galea, E., & Masgrau, R. (2018) · Glia · doi:10.1002/glia.23330 · Cited by 105 · see citing works
“Interestingly, a meta-analysis of glucose and oxygen consumption across the human lifespan concluded that anaerobic glycolysis appears to decrease dramatically in the elderly, whereas oxygen consumption is slightly higher (Goyal et al., 2014).”
BackgroundBrain energy metabolism: A roadmap for future research
Rae, C. D., Baur, J. A., Borges, K., Dienel, G. A., Díaz‐García, C. M., Douglass, S. R., Drew, K. L., Duarte, J. M. N., Durán, J., Kann, O., et al. (2024) · Journal of Neurochemistry · doi:10.1111/jnc.16032 · Cited by 109 · see citing works
Guilliams, K. P., Fields, M. E., Ragan, D. K., Eldeniz, C., Binkley, M. M., Chen, Y., Comiskey, L., Doctor, A., Hulbert, M. L., Shimony, J. S., et al. (2017) · Blood · doi:10.1182/blood-2017-06-789842 · Cited by 101 · see citing works
Metabolic flexibility in melanoma: A potential therapeutic target
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Cerebral Lactate Metabolism After Traumatic Brain Injury
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Focusing on mitochondria in the brain: from biology to therapeutics
Song, N., Mei, S., Wang, X.-X., Hu, G., & Lu, M. (2024) · Translational Neurodegeneration · doi:10.1186/s40035-024-00409-w · Cited by 102 · see citing works
“Throughout human lifespan, the brain glucose utilization peaks at age 4–5 years dominantly in the form of aerobic glycolysis [45].”
BackgroundAgeing and inflammation – A central role for mitochondria in brain health and disease
Currais, A. J. M. (2015) · Ageing Research Reviews · doi:10.1016/j.arr.2015.02.001 · Cited by 95 · see citing works
Brain aerobic glycolysis functions and Alzheimer’s disease
Vlassenko, A. G., & Raichle, M. E. (2014) · Clinical and Translational Imaging · doi:10.1007/s40336-014-0094-7 · Cited by 94 · see citing works
“[81] 32 Clin Transl Imaging (2015) 3:27–37”
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Regulation of neuron-astrocyte metabolic coupling across the sleep-wake cycle
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“Remarkably, these regions correspond to brain areas where the expression of genes related to synapse formation and growth, which is high during the childhood, persists in adults (Goyal et al., 2014).”
BackgroundDebates on the dorsomedial prefrontal/dorsal anterior cingulate cortex: insights for future research
Clairis, N., & Lopez‐Persem, A. (2023) · Brain · doi:10.1093/brain/awad263 · Cited by 97 · see citing works
Metabolic Plasticity of Astrocytes and Aging of the Brain
Morita, M., Ikeshima‐Kataoka, H., Kreft, M., Vardjan, N., Zorec, R., & Noda, M. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20040941 · Cited by 89 · see citing works
“The relatively large glycolytic capacity of brain tissue is most likely attributed to astrocytes [1,10], where glycolysis appears to have a larger enzymatic capacity than oxidative metabolism [11], and neuronal glycolysis is limited [12].”
BackgroundLactate topography of the human brain using hyperpolarized 13C-MRI
Lee, C. Y., Soliman, H., Geraghty, B. J., Chen, A. P., Connelly, K. A., Endre, R., Perks, W. J., Heyn, C., Black, S. E., & Cunningham, C. H. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116202 · Cited by 88 · see citing works
Can the emerging field of immunometabolism provide insights into neuroinflammation?
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“Indeed, aerobic glycolysis has been found to account for 10% of the glucose consumed by the adult human brain (Goyal et al., 2014).”
BackgroundAge-dependent metabolic dysregulation in cancer and Alzheimer’s disease
Harris, R. A., Tindale, L. C., & Cumming, R. C. (2014) · Biogerontology · doi:10.1007/s10522-014-9534-z · Cited by 86 · see citing works
NH4+ triggers the release of astrocytic lactate via mitochondrial pyruvate shunting
Lerchundi, R., Fernández‐Moncada, I., Contreras‐Baeza, Y., Sotelo-Hitschfeld, T., Mächler, P., Wyss, M. T., Stobart, J. L., Baeza‐Lehnert, F., Alegría, K., Weber, B., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1508259112 · Cited by 85 · see citing works
The pathobiology of neurovascular aging
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Human neuronal maturation comes of age: cellular mechanisms and species differences
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“Comparisons among primates suggest that only a subset of gene expression modules and processes are involved in prolonged human maturation 46,53,54,204 .”
The Neuroscience of Adolescence
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Enhancement of Astroglial Aerobic Glycolysis by Extracellular Lactate-Mediated Increase in cAMP
Vardjan, N., Chowdhury, H. H., Horvat, A., Velebit, J., Malnar, M., Muhič, M., Kreft, M., KRIVEC, S. G., Bobnar, S. T., Miš, K., et al. (2018) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2018.00148 · Cited by 81 · see citing works
“Stimulation Increases [lactate]i in Astrocytes Genes associated with aerobic glycolysis are mainly expressed in neocortical areas where neuronal cell plasticity is taking place (Goyal et al., 2014).”
BackgroundMethodBrain aerobic glycolysis and motor adaptation learning
Shannon, B. J., Vaishnavi, S., Vlassenko, A. G., Shimony, J. S., Rutlin, J. R., & Raichle, M. E. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1604977113 · Cited by 80 · see citing works
“, neotony) that is related to synapse formation and growth (20).”
BackgroundInfluentialSelf-citationAggression is associated with aerobic glycolysis in the honey bee brain1
Chandrasekaran, S., Rittschof, C. C., Djukovic, D., Gu, H., Raftery, D., Price, N. D., & Robinson, G. E. (2015) · Genes Brain & Behavior · doi:10.1111/gbb.12201 · Cited by 80 · see citing works
“Given the high energetic demands for neural function, it is surprising to see this less efficient metabolic state (Goyal et al. 2014).”
BackgroundInfluentialMetabolic regulation of neurodifferentiation in the adult brain
Maffezzini, C., Calvo‐Garrido, J., Wredenberg, A., & Freyer, C. (2020) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-019-03430-9 · Cited by 80 · see citing works
Glial glucose fuels the neuronal pentose phosphate pathway for long-term memory
de Tredern, É., Rabah, Y., Pasquer, L., Minatchy, J., Plaçais, P.-Y., & Préat, T. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109620 · Cited by 75 · see citing works
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“Later, Goyal et al. 15 used nonlinear dimension reduction across whole-genome spatial expression, again from only one of the six AHBA brains, to show that aerobic glycolysis was associated with a second transcriptional component.”
BackgroundThe Effects of Early-Life Iron Deficiency on Brain Energy Metabolism
Bastian, T. W., Rao, R., Tran, P. V., & Georgieff, M. (2020) · Neuroscience Insights · doi:10.1177/2633105520935104 · Cited by 76 · see citing works
Energy metabolism in childhood neurodevelopmental disorders
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Sodium signaling and astrocyte energy metabolism
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“Goyal et al. (2014) recently demonstrated that periods and regions of the brain where aerobic glycolysis is most active correspond to a high expression of plasticity genes in particular those associated with synaptic remodeling.”
BackgroundInfluentialAerobic Glycolysis in the Brain: Warburg and Crabtree Contra Pasteur
Barros, L. F., Ruminot, I., Martín, A. S., Lerchundi, R., Fernández‐Moncada, I., & Baeza‐Lehnert, F. (2020) · Neurochemical Research · doi:10.1007/s11064-020-02964-w · Cited by 72 · see citing works
Brain aerobic glycolysis and resilience in Alzheimer disease
Goyal, M. S., Blazey, T., Metcalf, N. V., McAvoy, M. P., Strain, J. F., Rahmani, M., Durbin, T. J., Xiong, C., Benzinger, T. L. S., Morris, J. C., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2212256120 · Cited by 72 · see citing works
“…here, accounting for prior studies that demonstrate that whole brain glycolysis quantitatively decreases with age and in Alzheimer’s disease (14–15 Increased age was associated with decreases in GI in the superior frontal, superior parietal, caudal middle frontal, medial orbitofrontal, and…”
Self-citationEnergy metabolic pathways in neuronal development and function
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“In fact, a meta-analysis of gene expression and energy consumption shows a strong correlation between aerobic glycolysis and neuronal development [26].”
BackgroundWang, Y., Li, P., Xu, Y., Feng, L., Fang, Y., Song, G., Li, X., Zhu, Z., Wang, W., Mei, Q., et al. (2024) · Journal of Neuroinflammation · doi:10.1186/s12974-024-03303-4 · Cited by 71 · see citing works
“…aerobic glycolysis is observed during early development with the highest synaptic growth rates, while in adults, relatively higher aerobic glycolysis is found in neotenous regions, and during aging, aerobic glycolysis is downregulated, accompanied by decreased plasticity in the brain [81, 82].”
Cioli, C., Abdi, H., Beaton, D., Burnod, Y., & Mesmoudi, S. (2014) · PLoS ONE · doi:10.1371/journal.pone.0115913 · Cited by 68 · see citing works
“, in [1–3]) with the topographic organization of gene expressions [4–6].”
BackgroundThe pyruvate dehydrogenase complex: Life’s essential, vulnerable and druggable energy homeostat
Stacpoole, P. W., & McCall, C. E. (2023) · Mitochondrion · doi:10.1016/j.mito.2023.02.007 · Cited by 68 · see citing works
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“While many genes show ne-otenous expression patterns ( 76 ), many others show highly variable expression patterns through development ( 77 ).”
Dual Proteolytic Pathways Govern Glycolysis and Immune Competence
Lü, W., Zhang, Y., McDonald, D., Jing, H., Carroll, B., Robertson, N., Zhang, Q., Griffin, H. R., Sanderson, S., Lakey, J. H., et al. (2014) · Cell · doi:10.1016/j.cell.2014.12.001 · Cited by 65 · see citing works
“Increased utilization of aerobic glycolysis, which predominates in brain regions associated with transcriptional neoteny, may contribute to synapse formation and growth (Goyal et al., 2014).”
- Authors
- Goyal, M. S., Hawrylycz, M., Miller, J. A., Snyder, A. Z., & Raichle, M. E.
- Affiliations
- Washington University in St. Louis (US)
- Allen Institute for Brain Science (US)
- Corresponding author
- Goyal, Manu S.
- Raichle, Marcus E.
- Venue
- Cell Metabolism
- Publisher
- Elsevier BV
- Published
- 2014-01
- Volume
- 19
- Issue
- 1
- Pages
- 49-57
- ISSN
- 1550-4131 (ISSN-L)
- PMC
- PMC4389678
- OpenAlex
- W1974124405
- Cited by
- 459
- References
- 68
- Citations by year
- 2026: 39 · 2025: 38 · 2024: 40 · 2023: 42 · 2022: 39 · 2021: 52 · 2020: 36 · 2019: 32 · 2018: 48 · 2017: 29 · 2016: 16 · 2015: 19 · 2014: 29
- FWCI
- 3.53
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell Metabolism (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Neurological Disorders and Stroke (P01NS080675, P30NS048056, P50NS006833)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
- Keywords
- aerobic glycolysis, human brain, brain glucose metabolism, glucose oxidation, synaptic development, synaptogenesis, neoteny, developmental gene expression, child neurodevelopment, mitochondria, synaptic transmission
- MeSH terms
- Adult, Aerobiosis, Brain, Glucose, Glycolysis, Humans, Oxygen Consumption, Synapses, Transcription, Genetic, Gene Expression Regulation, Developmental, Gene Expression Profiling, Gene Ontology
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