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Rabinowitz, J. D.

Publications and source records attributed to Rabinowitz, J. D..

At least 19 recordsLinked to original sources

Behavioral dysfunction but not wasting in cancer cachexia is driven by altered tryptophan metabolism

Cancer cachexia causes pathological weight loss, anorexia, and depressive symptoms, culminating in increased mortality. Using mouse models of pancreatic cancer cachexia, we identify tumor and hepatic inflammatory signaling, multi-organ energy charge depletion, and altered tryptophan metabolism. Metabolomic profiling and stable isotope tracing revealed altered tryptophan fates: serotonin depletion and kynurenine accumulation across tumor, liver, muscle and spleen. Kynurenine accumulation involved accelerated conversion of tryptophan to kynurenine with slowed downstream conversion to kynurenic acid. Restoring serotonin activity pharmacologically or metabolically normalized feeding, locomotion, and depression-like behavior, but wasting, tumor burden, and survival remained unchanged. Blocking kynurenine production or kynurenine-mediated AhR activation pharmacologically produced similar results. Thus, in cancer cachexia, the tryptophan pathway is subverted to deplete serotonin and accumulate kynurenine. This subversion contributes to cachexia-associated behavioral and feeding defects but not lethal systemic catabolism.

cancer biology↗

Engaging the host adaptive response to nutrient limitation delays cancer cachexia

Cancer cachexia is a debilitating wasting syndrome associated with involuntary weight loss, reduced appetite and food intake, adipose and muscle atrophy, and systemic inflammation with induction of a myriad of candidate cachexia factors. Using a multi-omic approach in a genetically engineered mouse model of lung cancer cachexia, we found that early circulating metabolic alterations preceded overt weight loss. Although both cachexia and fasting are characterized by a reduction in food intake, we show that the systemic metabolic changes in cachexia are distinct, indicating a lack of induction in the normal protective response to negative energy balance during cachexia. Cancer cachexia causes profound hepatic reprogramming, and activation of inflammatory programs, alongside muscle atrophy and elevation of circulating cytokines. However, targeting individual candidate cachectic factors such as IL-6, TNF-, GDF15, CCL2, LIF, and IL17A failed to rescue weight loss or prolong survival. In contrast, caloric restriction initiated prior to tumor induction elicited a program of protection during tumor progression that attenuated multi-tissue inflammatory and catabolic transcriptional responses, preserved lean mass, and prolonged survival. Together, these findings suggest that metabolic preconditioning broadly dampens systemic inflammation and delays the onset and progression of cancer cachexia.

cancer biology↗

Proteome-wide quantification of protein turnover in frog and fly embryos reveals divergent strategies of maternal inheritance

Every embryo inherits a maternal proteome that it must remodel with zygotic proteins to build its many cell types. The fate of the maternal proteome remains contested because indirect measurements cannot resolve it. Here, we combine 18O-water labeling with multiplexed proteomics to quantify protein turnover proteome-wide in frog and fly embryos. Through hatching, the frog preserves the bulk of its maternal proteome, confining rapid degradation to a small regulatory module. The fly cannot meet its synthesis demand from yolk alone and instead degrades nearly all maternal proteins, including housekeeping proteins long assumed stable, recycling them into new protein. Yet the turnover hierarchy is conserved, with disordered and regulatory proteins degrading fastest, while the fly rescales the whole proteome ~eightfold faster. These results recast the developmental proteome as both informational inheritance and metabolic reserve, establish 18O-water labeling as a turnover method for non-feeding organisms, and provide a resource of embryonic half-lives.

developmental biology↗

A Liver-Targeted Copper Supplement Reduces Metabolic Dysfunction-Associated Liver Steatosis by Increasing Lipolysis and Fatty Acid Oxidation

Metabolic-associated steatotic liver disease (MASLD) is a prevalent liver disease driven by complex dysregulation of hepatic lipid metabolism. Here we show that copper deficiency is a nutrient vulnerability in steatotic liver disease and that selective liver-targeted copper supplementation can reduce excess lipid accumulation. Analysis of steatotic patient and mouse tissues identify widespread alterations in hepatic copper homeostasis markers. Integrated multi-omics analyses reveal that copper induces lipolysis of PLIN2-containing lipid droplets while lipid importer CD36 is downregulated. We show that copper inhibits cAMP hydrolase activity of PDE3B, thus activating PKA-mediated HSL and AMPK activation upstream of lipolysis. Fatty acids liberated through lipolysis are subsequently degraded via enhanced mitochondrial fatty acid oxidation, supported by energetic rewiring toward oxidative phosphorylation (OXPHOS) with increased copper-dependent complex IV and SOD1 activity. Our findings establish a multi-pronged mechanism by which hepatic copper supplementation coordinately regulates lipid metabolism in response to steatosis and unveils a therapeutic metallomedicine strategy to rewire lipid regulation. SummaryLiver-targeted copper supplementation reduces diet-induced liver steatosis by dual activation of lipolysis and fatty acid degradation pathways. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=196 SRC="FIGDIR/small/725917v1_ufig1.gif" ALT="Figure 1"> View larger version (45K): org.highwire.dtl.DTLVardef@982970org.highwire.dtl.DTLVardef@1c8adb5org.highwire.dtl.DTLVardef@4762dorg.highwire.dtl.DTLVardef@ea95cd_HPS_FORMAT_FIGEXP M_FIG C_FIG

physiology↗

Pharmacologic AMPK Activation Extends Lifespan in C. elegans and Improves Aspects of Healthspan in Mice

Dysregulated energy metabolism is a hallmark of aging. Many interventions that extend lifespan converge on the conserved master regulator of energy metabolism, AMP-activated kinase (AMPK), and direct genetic activation of AMPK extends lifespan in multiple species. Here, we test the ability of a specific and potent pharmacologic AMPK activator, MK-8722, to extend lifespan in C. elegans and improve healthspan in aged mice. Treatment with MK-8722 from adulthood significantly extended lifespan in an AMPK-dependent manner in both wildtype and Cockayne syndrome model csb-1 mutant C. elegans, without impairing motility or reproductive capacity. Mice treated with MK-8722 from 18 until 24 months of age had significantly reduced body fat accumulation, blocked age-associated declines in fasting blood glucose and enhanced circadian rhythmicity in respiratory quotient, suggesting an improved overall metabolic state. Hepatic RNA sequencing revealed a decrease in inflammation-related pathways and an increase in sterol metabolic pathways, which was consistent with significantly increased levels of multiple sterol-derived metabolites, including lithocholic acid, a proposed mediator of the benefits of caloric restriction. Our results support pharmacologic AMPK activation as a promising gerotherapeutic strategy.

physiology↗

A dietary pan-amino acid dropout screen in vivo reveals a critical role for histidine in T-ALL

Dietary interventions show therapeutic potential in cancer, but systematic comparisons are lacking. We performed a dietary pan-amino acid dropout screen in an orthotopic model of NOTCH1-driven T-cell acute lymphoblastic leukemia and identified histidine depletion as uniquely antileukemic. Histidine-restricted diets extended survival of leukemic mice in a dose-dependent manner, while remaining well-tolerated. Mechanistically, multiomic profiling revealed that histidine deprivation-induced ribosome stalling activates GCN2 to suppress cholesterol biosynthesis pathways critical for leukemic proliferation. Dietary cholesterol supplementation partially reverted the antileukemic effects of histidine restriction in vivo. These findings couple histidine levels and translational control to cholesterol metabolism, which can be therapeutically exploited for cancer treatment. Our results suggest that defined dietary amino acid restrictions may expose broader therapeutic opportunities in diseases beyond cancer.

cancer biology↗

High-fat circulating nutrients promote growth and invasion in a 3D microfluidic tumor model of triple-negative breast cancer

Diet influences the levels of small molecules that circulate in plasma and interstitial fluid, altering the biochemical composition of the tumor microenvironment (TME). These circulating nutrients have been associated with how tumors grow and respond to treatment, but it remains difficult to parse their direct effects on cancer cells. Here, we combine a three-dimensional (3D) microfluidic tumor model with physiologically relevant culture media to investigate how concentrations of circulating nutrients influence tumor growth, cancer cell invasion, and overall tumor metabolism. Human triple-negative breast cancer cells cultured in 2D under media conditions mimicking five different dietary states show no observable differences in proliferation or morphology. Nonetheless, those exposed to high-fat conditions exhibit increased metabolic activity and upregulate genes associated with motility and extracellular matrix remodeling. In the 3D microfluidic model, high-fat conditions accelerate tumor growth and invasion and induce the formation of hollow cavities. Surprisingly, the presence of these cavities does not correlate with an increase in apoptosis or ferroptosis. Instead, RNA-sequencing analysis revealed that high-fat conditions induce the expression of MMP1, consistent with cavitation via cell invasion. Mimicking the flow of circulating nutrients within the TME can thus be used to identify novel connections between metabolic states and tumor phenotype.

bioengineering↗

Micromapping (μMap) of HER2 Across Human Breast Cancers: Photocatalytic Proximity Labeling Identifies Primary Resistance Mechanisms and Functional Interactors

Interactions among receptor tyrosine kinases (RTKs), particularly HER2, are critical in driving the growth of certain breast cancer subtypes. However, the mechanisms of HER2 dependency and resistance to targeted therapies remain unclear. Using photocatalytic micromapping ({micro}Map) proximity labeling, we profiled the HER2 interactome across human breast cancer lines. We identify galectin family proteins as uniquely enriched in trastuzumab-resistant models, and show that genetic and pharmacological inhibition of galectins restores trastuzumab sensitivity. Mechanistically, galectin inhibition destabilized HER2 and other RTKs and enhanced antibody-mediated receptor degradation. Galectin inhibition in combination with trastuzumab triggered mitochondrial and endoplasmic reticulum stress pathways, revealing new mechanisms underlying HER2 signaling, dependency, and resistance in breast cancer. We also identified protein tyrosine phosphatase F (PTPRF) as a pan-cancer HER2 interactor, which is broadly upregulated and whose knockdown suppresses proliferation in HER2-low cancers. This work provides an extensive new interactomic resource and underscores the utility of proximity labeling for mapping complex cancer networks and identifying new therapeutic targets.

cancer biology↗

Metabolism of epigenetic ribonucleosides leads to nucleolar stress and cytotoxicity

Post-transcriptional RNA modifications are ubiquitous in biology, but the fate of epigenetic ribonucleotides after RNA turnover and the consequences of their metabolism and misincorporation into nucleic acids are largely unknown. Here we explore the metabolism of epigenetic ribonucleosides in human cells by studying effects on cell growth, quantifying misincorporation into cellular RNAs and identifying metabolic regulators, and exploring phenotypes associated with cytotoxicity. We find that bulky N6-modified adenosines (i.e. i6A) exhibit high levels of cytotoxicity and RNA misincorporation, whereas cells dramatically restrict the misincorporation of small N6-modified adenosines (i.e. m6A), partly through sanitization by enzymatic deamination. Epigenetic ribopyrimidines also exhibit cytotoxicity, mediated primarily by nucleoside kinase UCK2, but only at much higher concentrations than ribopurines. We further characterize the effects of cytotoxic ribonucleoside metabolism on nucleolar morphology and protein translation. Taken together, our work provides new insights into the metabolism of epigenetic ribonucleosides and mechanisms underlying their cytotoxicity to cells.

biochemistry↗

Spatial metabolic gradients in the liver and small intestine

Mammalian organs are composed of cells, whose properties differ depending upon their spatial location. Gene expression in liver varies between periportal and pericentral hepatocytes1-3, and in intestine from crypts to villus tips4,5. A key element of tissue spatial organization is likely metabolic, but direct assessments of spatial metabolism remain limited. Here we map spatial metabolic gradients in murine liver and intestine. We developed an integrated experimental-computational workflow using MALDI imaging mass spectrometry, isotope tracing, and deep-learning artificial intelligence. Most measured metabolites (> 95%) showed significant spatial concentration gradients in liver lobules and intestinal villi. In the liver, tricarboxylic acid (TCA)-cycle metabolites and their labeling from both glutamine and lactate localized periportally. Energy-stress metabolites including adenosine monophosphate (AMP) also localized periportally, consistent with high periportal energy demand. In intestine, the TCA intermediates malate (tip) and citrate (crypt) showed opposite spatial patterns, which aligned with higher glutamine catabolism in tips and lactate oxidation in crypts based on isotope tracing. Finally, we mapped the fate of the obesogenic dietary sugar fructose. In the intestine, oral fructose was catabolized faster in the villus bottom than the tips. In the liver, fructose-derived carbon accumulated pericentrally as fructose-1-phosphate and triggered pericentral adenosine triphosphate (ATP) depletion. Thus, we both provide foundational knowledge regarding intestine and liver metabolic organization and identify fructose-induced focal derangements in liver metabolism.

biochemistry↗

Lack of consistent effect of dietary fiber on immune checkpoint blockade efficacy across diverse murine tumor models

Immune checkpoint blockade (ICB) has transformed cancer treatment, but success rates remain low in most cancers. Recent research suggest that dietary fiber enhances ICB response in melanoma patients and murine preclinical models through microbiome-dependent mechanisms. Yet, the robustness of this effect across cancer types and dietary contexts remains unclear. Specifically, prior literature compared grain-based chow (high fiber) to low-fiber purified diet, but these diets differ also on other dimensions including phytochemicals. Here we investigated, in mice fed grain-based chow or purified diets with differing quantities of isolated fibers (cellulose and inulin), metabolite levels and ICB activity in multiple tumor models. The blood and fecal metabolome were relatively similar between mice fed high- and low-fiber purified diets, but differed massively between mice fed purified diets or chow, identifying the factor as diet type, independent of fiber. Tumor growth studies in three implantable and two spontaneous genetically engineered tumor models revealed that fiber has a weaker impact on ICB (anti-PD-1) efficacy than previously reported. In some models, dietary modulation impacted ICB activity, but not in a consistent direction across models. In none of the models did we observe the pattern expected if fiber controlled ICB efficacy: strong efficacy in both chow and high-fiber purified diet but low efficacy in low-fiber purified diet. Thus, dietary fiber appears to have limited or inconsistent effect on ICB efficacy in mouse models, and other dietary factors that correlate with fiber intake may underlie the clinical correlations between fiber consumption and immunotherapy outcomes.

cancer biology↗

Integrative Computational Framework, Dyscovr, Links Mutated Driver Genes to Expression Dysregulation Across 19 Cancer Types

Mutations within cancer driver genes induce widespread transcriptional changes that reflect altered cellular states and can reveal associated genetic vulnerabilities. However, it remains challenging to determine which genes are dysregulated as a consequence of cancer alterations, and of these, which represent therapeutic opportunities. Here, we present Dyscovr, an integrative computational framework that leverages somatic mutation, gene expression, copy number alteration, methylation, and clinical data from primary tumors to identify driver-associated transcriptional changes. Dyscovr then uses these transcriptional changes as a biologically grounded starting point, integrating them with cancer cell line data to prioritize genes whose inhibition is predicted to reduce viability either specifically in driver-mutant contexts or in combination with driver inhibition. Applied both pan-cancer and across 19 tumor types, Dyscovr uncovers hundreds of such conditional vulnerabilities. As a case study, we newly implicate--and experimentally validate--KBTBD2 as a gene whose inhibition enhances the efficacy of PI3K inhibitors in PIK3CA-mutant breast cancer cell lines. The Dyscovr software (github.com/Singh-Lab/Dyscovr) and predictions (dyscovr.princeton.edu) provide a platform and resource for linking mutated driver genes to conditional genetic vulnerabilities and for prioritizing these relationships for experimental and therapeutic investigation.

systems biology↗

Language model-guided anticipation and discovery of unknown metabolites

Despite decades of study, large parts of the mammalian metabolome remain unexplored. Mass spectrometry-based metabolomics routinely detects thousands of small molecule-associated peaks within human tissues and biofluids, but typically only a small fraction of these can be identified, and structure elucidation of novel metabolites remains a low-throughput endeavor. Biochemical large language models have transformed the interpretation of DNA, RNA, and protein sequences, but have not yet had a comparable impact on understanding small molecule metabolism. Here, we present an approach that leverages chemical language models to discover previously uncharacterized metabolites. We introduce DeepMet, a chemical language model that learns the latent biosynthetic logic embedded within the structures of known metabolites and exploits this understanding to anticipate the existence of as-of-yet undiscovered metabolites. Prospective chemical synthesis of metabolites predicted to exist by DeepMet directs their targeted discovery. Integrating DeepMet with tandem mass spectrometry (MS/MS) data enables automated metabolite discovery within complex tissues. We harness DeepMet to discover several dozen structurally diverse mammalian metabolites. Our work demonstrates the potential for language models to accelerate the mapping of the metabolome.

bioinformatics↗

A bioengineered model of human placental exposure to environmental metals during pregnancy

Exposure of pregnant women to toxic metals is an environmental health issue associated with various pregnancy complications. Efforts to advance our biological understanding of this problem and mitigate its adverse effects, however, have been challenged by ethical concerns of human subject research during pregnancy. Here, we present an alternative approach that leverages the design flexibility, controllability, and scalability of bioengineered human reproductive tissues to enable experimental simulation and in-depth investigation of placental exposure to environmental metals in maternal circulation. Central to this method is an in vitro analog of the maternal-fetal interface and its dynamic tissue-specific environment constructed using primary human placental cells grown in a micro-engineered device. Using cadmium as a representative toxicant, we demonstrate the proof-of-concept of emulating the human placental barrier subjected to the flow of cadmium-containing maternal blood to show how this model can be used to examine adverse biological responses and impaired tissue function on both the maternal and fetal sides. Moreover, we present a mechanistic study of maternal-to-fetal cadmium transport in this system to reveal that efflux membrane transporters expressed by trophoblasts may play an important protective role against cadmium-induced toxicity. Finally, we describe metabolomic analysis of our microphysiological system to demonstrate the feasibility of discovering metabolic biomarkers that may potentially be useful for detection and monitoring of cadmium-induced placental dysfunction.

bioengineering↗

A Ketogenic Diet Sensitizes Pancreatic Cancer to Inhibition of Glutamine Metabolism

Pancreatic cancer is the third leading cause of cancer death in the United States, and while conventional chemotherapy remains the standard treatment, responses are poor. Safe and alternative therapeutic strategies are urgently needed1. A ketogenic diet has been shown to have anti-tumor effects across diverse cancer types but will unlikely have a significant effect alone. However, the diet shifts metabolism in tumors to create new vulnerabilities that can be targeted (1). Modulators of glutamine metabolism have shown promise in pre-clinical models but have failed to have a marked impact against cancer in the clinic. We show that a ketogenic diet increases TCA and glutamine-associated metabolites in murine pancreatic cancer models and under metabolic conditions that simulate a ketogenic diet in vitro. The metabolic shift leads to increased reliance on glutamine-mediated anaplerosis to compensate for low glucose abundance associated with a ketogenic diet. As a result, glutamine metabolism inhibitors, such as DON and CB839 in combination with a ketogenic diet had robust anti-cancer effects. These findings provide rationale to study the use of a ketogenic diet with glutamine targeted therapies in a clinical context. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=186 SRC="FIGDIR/small/604377v1_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@1ebeefforg.highwire.dtl.DTLVardef@97e2ceorg.highwire.dtl.DTLVardef@1ab45c3org.highwire.dtl.DTLVardef@1713540_HPS_FORMAT_FIGEXP M_FIG C_FIG Graphical Abstract Description: Mechanistic rationale for combining a ketogenic diet and glutamine metabolism inhibitors. The combination of low glucose from a ketogenic diet and pharmacologic glutamine inhibition impairs nutrient input to mitochondria, reducing cancer growth.

cancer biology↗

Restoring hippocampal glucose metabolism rescues cognition across Alzheimer's disease pathologies

Impaired cerebral glucose metabolism is a pathologic feature of Alzheimer Disease (AD), and recent proteomic studies highlight a disruption of glial carbohydrate metabolism with disease progression. Here, we report that inhibition of indoleamine-2,3-dioxygenase 1 (IDO1), which metabolizes tryptophan to kynurenine (KYN) in the first step of the kynurenine pathway, rescues hippocampal memory function and plasticity in preclinical models of amyloid and tau pathology by restoring astrocytic metabolic support of neurons. Activation of IDO1 in astrocytes by amyloid-beta42 and tau oligomers, two major pathological effectors in AD, increases KYN and suppresses glycolysis in an AhR-dependent manner. Conversely, pharmacological IDO1 inhibition restores glycolysis and lactate production. In amyloid-producing APPSwe-PS1{Delta}E9 and 5XFAD mice and in tau-producing P301S mice, IDO1 inhibition restores spatial memory and improves hippocampal glucose metabolism by metabolomic and MALDI-MS analyses. IDO1 blockade also rescues hippocampal long-term potentiation (LTP) in a monocarboxylate transporter (MCT)-dependent manner, suggesting that IDO1 activity disrupts astrocytic metabolic support of neurons. Indeed, in vitro mass-labeling of human astrocytes demonstrates that IDO1 regulates astrocyte generation of lactate that is then taken up by human neurons. In co-cultures of astrocytes and neurons derived from AD subjects, deficient astrocyte lactate transfer to neurons was corrected by IDO1 inhibition, resulting in improved neuronal glucose metabolism. Thus, IDO1 activity disrupts astrocytic metabolic support of neurons across both amyloid and tau pathologies and in a model of AD iPSC-derived neurons. These findings also suggest that IDO1 inhibitors developed for adjunctive therapy in cancer could be repurposed for treatment of amyloid- and tau-mediated neurodegenerative diseases.

neuroscience↗

Off-target depletion of plasma tryptophan by allosteric inhibitors of BCKDK

The activation of branched chain amino acid (BCAA) catabolism has garnered interest as a potential therapeutic approach to improve insulin sensitivity, enhance recovery from heart failure, and blunt tumor growth. Evidence for this interest relies in part on BT2, a small molecule that promotes BCAA oxidation and is protective in mouse models of these pathologies. BT2 and other analogs allosterically inhibit branched chain ketoacid dehydrogenase kinase (BCKDK) to promote BCAA oxidation, which is presumed to underlie the salutary effects of BT2. Potential "off-target" effects of BT2 have not been considered, however. We therefore tested for metabolic off-target effects of BT2 in Bckdk-/- animals. As expected, BT2 failed to activate BCAA oxidation in these animals. Surprisingly, however, BT2 strongly reduced plasma tryptophan levels and promoted catabolism of tryptophan to kynurenine in both control and Bckdk-/- mice. Mechanistic studies revealed that none of the principal tryptophan catabolic or kynurenine-producing/consuming enzymes (TDO, IDO1, IDO2, or KATs) were required for BT2-mediated lowering of plasma tryptophan. Instead, using equilibrium dialysis assays and mice lacking albumin, we show that BT2 avidly binds plasma albumin and displaces tryptophan, releasing it for catabolism. These data confirm that BT2 activates BCAA oxidation via inhibition of BCKDK but also reveal a robust off-target effect on tryptophan metabolism via displacement from serum albumin. The data highlight a potential confounding effect for pharmaceutical compounds that compete for binding with albumin-bound tryptophan.

pharmacology and toxicology↗

TREM1 disrupts myeloid bioenergetics and cognitive function in aging and Alzheimer disease models

Human genetics implicate defective myeloid responses in the development of late onset, age-associated Alzheimers disease (AD). Aging is characterized by a decline in myeloid metabolism that triggers maladaptive, neurotoxic immune responses. TREM1 is an amplifier of pro-inflammatory myeloid responses, and here we find that Trem1 deficiency prevents age-dependent changes in myeloid metabolism, inflammation, and hippocampal memory function. Trem1 deficiency rescues age-associated declines in ribose-5P, a glycolytic intermediate and the precursor for purine, pyrimidine, and NAD+ biosynthesis. In vitro, Trem1 deficient microglia are resistant to bioenergetic changes induced by amyloid-{beta}42 oligomers (A{beta}42), suggesting that A{beta}42 stimulation disrupts homeostatic microglial metabolism and immune function via TREM1. In the 5XFAD model of amyloid accumulation, Trem1 haploinsufficiency prevents spatial memory loss, preserves homeostatic microglial morphology, and reduces neuritic dystrophy independent of amyloid accumulation or changes in the disease-associated microglial transcriptomic signature. In aging APPSwe mice, Trem1 deficiency restores synaptic mitochondrial function and cerebral glucose uptake and prevents hippocampal memory decline. In post-mortem human brain, microglial TREM1 expression increases with clinical and neuropathological severity. Thus, TREM1-mediated disruption of myeloid metabolism, both in the periphery and brain, promotes cognitive decline in aging and amyloid accumulation, two major risk factors for AD development.

neuroscience↗