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Biology subjects

Toledano, Y.

Publications and source records attributed to Toledano, Y..

4 recordsLinked to original sources

A Mechanistic Model for the HPA Axis Cortisol Paradox in PTSD

Post-traumatic Stress Disorder (PTSD) is a debilitating psychiatric condition characterized by intrusive memories, hyperarousal, avoidance, and cognitive and mood disturbances. A longstanding biological paradox in PTSD is the observation of low basal cortisol levels, despite the expectation of elevated cortisol under chronic stress. This "low cortisol paradox" challenges traditional hypothalamic-pituitary-adrenal (HPA) axis regulation models. Individuals with PTSD also exhibit normal or near-normal adrenocorticotropic hormone (ACTH) levels despite reduced cortisol and blunted hormonal responses to acute stress. In this paper, we provide further evidence of reduced cortisol levels using a large medical database from thousands of individuals diagnosed with PTSD. To understand this dysregulation, we apply a systems-level mathematical model of HPA axis regulation that incorporates dynamic changes in gland functional mass, the pituitary corticotrophs and adrenal cortex, over weeks to months. Using this model, we demonstrate that enhanced glucocorticoid receptor (GR) sensitivity, a known risk factor for PTSD, can lead to a steady state with low cortisol and normal ACTH, reconciling key clinical observations. The model also recapitulates the blunted cortisol and ACTH responses to acute stress and the dexamethasone/ corticotropin-releasing hormone (DEX/CRH) test, reported in PTSD cohorts. Importantly, despite low cortisol levels, basal glucocorticoid receptor (GR) activity is higher than normal due to the reduced receptor affinity. Thus, individuals with PTSD effectively experience elevated cortisol signaling relative to their GR sensitivity. These findings provide a unified mechanistic explanation for HPA axis dysregulation in PTSD, grounded in the slow time scale of changes in gland functional mass and supported by literature and clinical data.

systems biology↗

Pregnancy laboratory test dynamics resemble rejuvenation of some organs and aging of others

Aging and pregnancy both involve changes in many physiological systems. Some of these changes are similar, leading to suggestions that pregnancy may be a model for aging. Recent studies using DNA methylation clocks showed apparent aging during gestation which resolves postpartum. Since aging and pregnancy are complex, it is important to compare them in terms of many physiological parameters and at many time points. Here, we analyzed cross-sectional data on 62 lab tests at weekly resolution in 300,000 pregnancies and 1.4 million nonpregnant females aged 20-80. We trained a regression model to predict age from lab tests. Apparent age dropped by 8 years in early pregnancy, rose by 30 years towards delivery, and recovered postpartum. Certain systems exhibited rejuvenation, with opposite trends in pregnancy and aging, including renal, iron, and most liver tests. Others, such as coagulation, thyroid, muscle, and metabolic systems, showed apparent aging. Some systems displayed mixed trends. Notably, in the systems that showed apparent aging, the physiological mechanisms for the changes differed between pregnancy and aging. Pregnancy complications led to an additional apparent aging of 4-8 years. We conclude that pregnancy has features of rejuvenation for some systems, but its aging-like features involve different mechanisms than true aging. Gestational rejuvenation-like mechanisms may offer clues for slowing aspects of biological aging.

bioinformatics↗

Quantification of beta cell carrying capacity in prediabetes

Prediabetes, a subclinical state of high glucose, carries a risk of transition to diabetes. One cause of prediabetes is insulin resistance, which impairs the ability of insulin to control blood glucose. However, many individuals with high insulin resistance retain normal glucose due to compensation by enhanced insulin secretion by beta cells. Individuals seem to differ in their maximum compensation level, termed beta cell carrying capacity, such that low carrying capacity is associated with a higher risk of prediabetes and diabetes. Carrying capacity has not been quantified using a mathematical model and cannot be estimated directly from measured glucose and insulin levels in patients, unlike insulin resistance and beta cell function which can be estimated using HOMA-IR and HOMA-B formula. Here we present a mathematical model of beta cell compensation and carrying capacity, and develop a new formula called HOMA-C to estimate it from glucose and insulin measurements. HOMA-C estimates the maximal potential beta cell function of an individual, rather than the current beta cell function. We test this approach using longitudinal cohorts of prediabetic people, finding 10-fold variation in carrying capacity. Low carrying capacity is associated with higher risk of transitioning to diabetes. We estimate the timescales of beta cell compensation and insulin resistance using large datasets, showing that, unlike previous mathematical models, the new model can explain the slow rise in glucose over decades. Our mathematical understanding of beta cell carrying capacity may help to assess the risk of prediabetes in each individual.

systems biology↗

Pregnancy and postpartum dynamics revealed by an atlas of millions of lab tests

Pregnancy and delivery involve dynamic alterations in many physiological systems. However, the physiological dynamics during pregnancy and after delivery have not been systematically analyzed at high temporal resolution in a large human population. Here we present the dynamics of 76 lab tests based on a cross-sectional analysis of roughly 41 million measurements from over 300,000 pregnancies. We analyzed each test at weekly intervals from 20 weeks preconception to 80 weeks postpartum, providing detailed temporal profiles. About half of the tests take three months to a year to return to baseline during postpartum, highlighting the physiological load of childbirth. The precision of the data revealed effects of preconception supplements, overshoots after delivery and intricate temporal responses to changes in blood volume and renal filtration rate. Pregnancy complications - gestational diabetes, pre-eclampsia and postpartum hemorrhage - showed distinct dynamical changes. These results provide a comprehensive dynamic portrait of the systems physiology of pregnancy.

physiology↗