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Biology subjects

Fuller, O. K.

Publications and source records attributed to Fuller, O. K..

3 recordsLinked to original sources

Renal nutrient loss promotes metabolic health at the expense of increased vulnerability to acute kidney injury

Obesity is a major risk factor for interrelated cardiorenal metabolic diseases including type 2 diabetes, heart failure and chronic kidney disease (1-4). Although obesity develops when energy intake chronically exceeds energy expenditure, individuals vary markedly in the amount of adiposity and metabolic dysfunction that develop in response to comparable caloric excess. Controlled overfeeding studies demonstrate several-fold variation in weight gain between individuals (5), while susceptibility to metabolic dysfunction also differs substantially between populations (6), suggesting considerable variation in how excess nutrients are partitioned. Energy balance is conventionally considered in terms of intake and expenditure, yet energy-containing nutrients can also be eliminated from the body. The kidney is uniquely positioned to regulate this third component of energy balance by determining whether filtered metabolites are reabsorbed or excreted. The metabolic benefits of SGLT2 inhibition demonstrate that reducing renal nutrient reabsorption can favourably alter systemic metabolic function (7,8), but whether naturally occurring variation in renal nutrient conservation contributes to metabolic disease susceptibility remains unknown. Here, screening eleven genetically divergent mouse strains identified BXD34 mice as strikingly resistant to diet-induced obesity, ectopic lipid accumulation and insulin resistance despite increased caloric intake. Mechanistically, this protection was associated with widespread urinary nutrient loss accompanied by coordinated suppression of renal solute transport, but came at the cost of profound susceptibility to acute kidney injury. Together, these findings identify renal nutrient conservation as an underappreciated determinant of whole-body metabolism and reveal a renometabolic trade-off in which protection from obesity is achieved at the expense of renal resilience.

physiology↗

Synteny: a high throughput web tool to streamline causal gene prioritisation and provide insight into protein function

Accounting for human genetic evidence can improve the outcomes and impact of basic research studies. However, current approaches are incompatible with the high volume of disease-associated genes that require mechanistic interrogation. Synteny responds to an urgent need in systems biology, scaling human genetic analysis to match the throughput of modern omics technologies. This approach prioritises candidates with the strongest human disease relevance and unearths functionally important proteins (https://bigproteomics.shinyapps.io/Synteny/).

systems biology↗

Genetic variance in the murine defensin locus modulates glucose homeostasis

Insulin resistance is a heritable risk factor for many chronic diseases; however, the genetic drivers remain elusive. In seeking these, we performed genetic mapping of insulin sensitivity in 670 chow-fed Diversity Outbred in Australia (DOz) mice and identified a genome-wide significant locus (QTL) on chromosome 8 encompassing 17 defensin genes. By taking a systems genetics approach, we ultimately identified alpha-defensin 26 (Defa26) as the causal gene in this region. To validate these findings, we synthesized Defa26 and performed diet supplementation experiments in two mouse strains with distinct endogenous Defa26 expression levels. In the strain with relatively lower endogenous expression (C57BL/6J) supplementation improved insulin sensitivity and reduced gut permeability, while in the strain with higher endogenous expression (A/J) it caused hypoinsulinemia, glucose intolerance and muscle wasting. Based on gut microbiome and plasma bile acid profiling this appeared to be the result of disrupted microbial bile acid metabolism. These data illustrate the danger of single strain over-reliance and provide the first evidence of a link between host-genetics and insulin sensitivity which is mediated by the microbiome.

systems biology↗