The wasting syndrome cachexia exacts a tremendous toll on both quality and duration of life among patients with cancer, and to date, there are no effective therapeutic strategies to prevent or reverse cachexia.1 Cancer cachexia is a complex behavioural and metabolic syndrome hallmarked by accelerated fat and muscle wasting, often in the context of nutritional deficit.2 Cachexia differs from pure undernutrition in two key ways: (1) Skeletal muscle is relatively spared during periods of undernutrition, but not in cachexia,3 and (2) nutritional supplementation is inadequate to reverse cachexia.4 Given these fundamental differences between undernutrition and cachexia, significant effort has been directed to understanding the paraneoplastic processes underlying the persistent and pervasive wasting associated with cachexia.
Pancreatic ductal adenocarcinoma (PDAC) is the cancer type most commonly associated with cachexia. Although nearly all patients with PDAC will develop cachexia at some point during their cancer journey, approximately half of these patients do not meet the diagnostic criteria for cachexia at the time of diagnosis.5 Cachexia is clinically defined by thresholds of weight and muscle loss6 and is closely tied to increased inflammatory cytokine signalling. Interleukin-6 (IL-6), in particular, is highly associated with PDAC progression, metastasis, mortality and cachexia in both patients and murine cancer models.7–11,S1 Anti-IL-6 therapies have had positive outcomes in rodents, but are not widely implemented clinically.12,S2,S3 This is potentially because most studies evaluating cancer cachexia compare patients or mice with fully developed cachexia against healthy control populations.13–18 Thus, the early biology driving initial wasting, which may differ from the inflammation-driven biology defined in more advanced cachexia, is not well characterized.6 Indeed, a recent study of early murine PDAC cachexia, using the autochthonous KPC model, showed no elevations in cachexia-associated cytokines and was unable to discriminate cachexia from pure undernutrition.19 These data indicate that the processes canonically associated with cachexia may not be the driving processes most relevant during the pre-cachectic state.
Maintaining metabolic homeostasis requires rapid adaptation to variable nutrient conditions. The liver is central to these adaptations by storing excess nutrition (fat and glycogen) during periods of nutritional abundance and shifting metabolism to gluconeogenesis and ketogenesis during times of low nutritional availability.3,S4,S5 Ketogenesis by the liver is hypothesized to be central to skeletal muscle preservation during fasting, because it relies on stored lipids, and not products of muscle proteolysis, to produce energy-rich substrates that are used by other tissues.3 In humans and rodents undergoing prolonged starvation, exhaustion of adipose stores precipitates rapid muscle catabolism supporting the hypothesis that lipid mobilization protects muscle from catabolism when stored energy must be used.20,S6 Murine models of PDAC and lung cancer cachexia are associated with deficiencies in ketogenesis, implicating a role for the liver in the pathophysiology of cachexia.11,21,22 Though the liver is well positioned to coordinate altered metabolism in cachexia, its role remains poorly defined, particularly early in cancer cachexia, when wasting is initiated.
We propose that impaired ketogenesis is central to early PDAC cachexia development. We developed an orthotopic PDAC (OT-PDAC) mouse model of early cachexia to define the events that mediate early-stage tissue wasting and examine the roles of undernutrition, hepatic adaptive metabolism to undernutrition and inflammatory signalling in driving PDAC cachexia. Using this approach, we found that disrupted hepatic lipid metabolism is a key feature of early-stage cachexia and that reversal of this deficit using two genetic models that block IL-6 signalling, or a ketogenic diet (KD) intervention, was sufficient to prevent PDAC-associated muscle loss.
Methods Animal studies HusbandryC57BL/6J (wild-type [WT], JAX 000664), B6.129S2-Il6tm1Kopf/J (IL-6−/−, JAX 002650), B6N.Cg-Speer6-ps1Tg(Alb-cre)21Mgn/J (Alb-Cre, JAX 018961), B6.129S1-Stat3tm1Xyfu/J (signal transducer and activator of transcription 3 [STAT3] fl/fl, JAX 016923) and STOCK Gt(ROSA)26Sortm4(ACTB-tdTomato,-EGFP)Luo/J (ROSAmT/mG, JAX 007576) mice were purchased from The Jackson Laboratory (Bar Harbor, ME) and maintained in our animal facility. KrasG12D/+;p53R172H/+;Pdx-Cre (KPC) mice were provided as a gift from Rosalie Sears.23 All mice were housed and bred in a dedicated mouse room maintained at 26°C, 40% humidity and 12-h light/dark cycle. Animals were provided with ad libitum access to food and water (5L0D, PicoLab) unless otherwise stated. All animals were 12 weeks of age at the start of the experiment. Sex is defined in the figure legends. All study animals were individually housed for acclimation at least 7 days prior to the procedure and for the duration of the study. All tumour studies followed humane endpoints. Mouse studies were conducted in accordance with the National Institutes of Health (NIH) Guide for the Care and Use of Laboratory Animals and approved by the Oregon Health & Science University (OHSU) Institutional Animal Care and Use Committee (IACUC). We performed OT-PDAC implantations as previously described with modifications described in the Methods section of the supporting information.15 All animals were humanely euthanized via cardiac puncture under deep isoflurane anaesthesia.
Feeding schemes Pair feedingBeginning on Day 7, sham mice were pair-fed to the mean weight of food consumed the prior day by PDAC animals.
Food restrictionThe daily food allotment was calculated as 50% of their ad libitum consumption for 1 week prior to OT-PDAC implantation. Mice were allowed to eat ad libitum for 3 days after surgery and then underwent food restriction (FR) for the final 4 days prior to euthanasia.
FastingMice were moved into a clean cage, and food was withheld for the stated duration.
Ketogenic dietWe used the KD 93M diet (TD160153.PWD) and the nutritionally matched control 93M diet (CD, TD150345) from Envigo (Indianapolis, IN). Mice were pair-fed based on caloric intake to the PDAC group within each diet.
Human studiesOur study population included 37 patients diagnosed with PDAC who underwent surgical exploration or pancreatectomy at OHSU between 27 March 2012 and 28 June 2018. Detailed patient information is provided in Table S1. This study was approved by the OHSU institutional review board (IRB# 21923), and all patients provided informed consent. Patients were identified from an institutional database of 373 consecutive patients with potentially resectable PDAC. Skeletal muscle, visceral adipose tissue and subcutaneous adipose tissue areas were measured from a single axial slice at the L3 lumbar vertebral level of the pre-surgical staging computed tomography scan.24,S7 Extended analysis details are provided in the supporting information.
Cell lines Growth conditions and validationAll cells were maintained at 37°C and 5% CO2 in a humidified incubator and tested negative in house for mycoplasma using the Universal Mycoplasma Detection Kit (30-1012K). KrasG12D/+;Tp53R172H/+;Pdx1-Cre (KPC) cell line was generously shared by Dr. Elizabeth Jaffee.15,S8 KPC cells were grown on tissue culture-treated dishes in growth media consisting of RPMI 1640 (Gibco) with 10% foetal bovine serum (FBS) (Corning) and 1% penicillin/streptomycin (Gibco).
Blood measurementsPrior to euthanasia, we used ketometers and glucometers to measure blood ketones (Keto-Mojo GK+) and glucose (Ascensia Contour Next) in blood collected from tail-nick.
Echo magnetic resonance imaging body compositionLean mass, fat mass, total body water and free water were measured using whole-body magnetic resonance imaging (MRI) prior to tumour injection (Day 0) and then on Days 3, 7, 10 and 14 after tumour injection (EchoMRI, Houston, TX).
Human plasma analytesFasting plasma β-hydroxybutyrate (BHB) concentrations were measured using a colorimetric assay (Cayman Chemical #700190). Fasting plasma glucose was measured by a handheld glucometer (Ascensia Contour Next). Plasma IL-6 was measured by immunoassay (ProQuantum Human IL-6 Immunoassay Kit, Thermo Fisher) and run on the ABI 7300 (Applied Biosystems) with analyses performed using ProQuantum Software (Thermo Fisher).
ImmunostainingMuscle tissue was prepared by placing it in a 30% sucrose sink overnight, cryofreezing in O.C.T. medium (Sakura) and sectioning at 8 μm on a cryostat at −18°C. We rehydrated sections in phosphate-buffered saline (PBS), post-fixed in 4% paraformaldehyde (PFA) for 15 min, permeabilized in 0.5% Triton X-100 and blocked in 3% bovine serum albumin (BSA), 0.2% Triton X-100 and 0.2% Tween 20 in PBS. Primary antibody incubations occurred at room temperature (RT) for 90 min, or 4°C overnight, followed by incubation with secondary antibodies at RT for 45 min. All fluorescent slides were counter-stained with DAPI. Coverslips were mounted using ProLong Gold (Molecular Probes) or Fluoroshield (Abcam). We collected images of our stained tissues and cells using a Zeiss Axioskop and a Zeiss AxioCam MRm.
Octanoate challengeMice in each experimental condition were fasted for 16 h overnight and injected intraperitoneally with sodium octanoate (Sigma), which was dissolved to 200 mM in 0.9% NaCl at a volume of 6 mL/kg.11 Blood ketones and glucose were monitored every 45 min at t = 0, 45, 90, 135 and 180 min after injection.
Plasma analytesPlasma concentrations of corticosterone (Thermo Fisher) and IL-6 (BioLegend) were measured using an enzyme-linked immunosorbent assay (ELISA) and read on a plate reader (BioTek). Plasma levels of IL-6, insulin and glucagon were measured using a Milliplex multiplex magnetic bead immunoassay (Millipore) and read on the Luminex 200. Colorimetric assays were used to measure plasma levels of BHB (Cayman Chemical #700190) and acetoacetate (Abcam #ab180875).
Quantitative real-time polymerase chain reactionWe isolated RNA from cell pellets or tissue samples using the E.Z.N.A. Total RNA Kit I (Omega BioTek) and prepared cDNA using a high-capacity cDNA reverse transcription kit (Applied Biosystems). Quantitative real-time polymerase chain reaction (qPCR) was run on the ABI 7300 (Applied Biosystems) using TaqMan Fast Advanced PCR Master Mix (Applied Biosystems) or SYBR Green Master Mix (Applied Biosystems). The relative expression was calculated using the ΔΔCt method.
Western blottingWe extracted protein from snap-frozen tissues by bead homogenization followed by brief sonication. Twenty micrograms of protein was loaded in each lane and run on 10–20% Tris–glycine gels (Invitrogen). Gels were transferred to polyvinylidene difluoride (PVDF) membranes (Millipore) and blocked with 5% BSA for 1 h. Membranes were incubated with primary antibodies overnight at 4°C with gentle agitation. Blots were then washed with Tris-buffered saline with Tween 20 (TBST) and incubated in secondary antibodies for 1 h prior to imaging (LI-COR Odyssey Imaging System).
Statistical analysisSpecific statistical tests and sample size for each study are indicated in the figure legends. Error bars in figures show SEM. Statistical analyses were performed using GraphPad Prism (Version 9; GraphPad Software Inc.) or JMP Pro (Version 16; SAS Institute Inc.), and graphs were built using GraphPad Prism (GraphPad Software Inc.) statistical analysis software. P values are two-sided with values <0.05 regarded as statistically significant.
Data availabilityFurther information and resources, including plasmid sequences, engineered KPC cells and raw data, will be shared upon reasonable request to Aaron J. Grossberg (
We modelled PDAC cachexia in mice using orthotopic implantation of PDAC cancer cells derived from the KrasG12D/+;Tp53R172H/+;Pdx-cre (KPC) mouse into the pancreatic tail.15 Ad libitum-fed PDAC-bearing mice experience progressive wasting over the first 2 weeks of tumour development, which paralleled a decrease in food intake (Figure 1A–E). We first questioned whether tissue wasting was attributable to mechanisms other than undernutrition and malabsorption, as previously suggested.19 If this was the case, we reasoned that equitable undernutrition in PDAC and sham animals should cause exacerbated wasting in the PDAC mice. To test this hypothesis, we restricted food intake to 50% of baseline (FR) in sham and PDAC mice for 4 days prior to euthanasia on Day 7 (Figure 2A), a timepoint prior to when we see muscle wasting in ad libitum-fed mice. FR did not affect the terminal size of pancreatic tumours (Figure 2B). Although both sham and PDAC mice displayed decreased fat mass, FR elicited a loss of both fat-free mass and gastrocnemius muscle mass in PDAC, but not sham, mice (Figure 2C–E). Similarly, expression of atrophy-associated genes Fbxo32, Foxo1 and Trim63 increased in gastrocnemius muscle from FR PDAC mice but not in ad libitum PDAC mice (Figure 2F). Additionally, an acute 24-h fast prior to euthanasia revealed a similar elevation in atrophy-associated gene expression in PDAC compared to sham mice (Figure S1A). Together, these data show that PDAC mice exhibit increased vulnerability to two models of caloric deprivation, characterized by lean muscle wasting. Muscle wasting in PDAC mice was not associated with elevated basal metabolism, malabsorption, adipose browning or endocrine dysregulation (Figure S1B–P), all of which have been previously implicated in wasting pathologies.19,25,S9
Figure 1. Orthotopic PDAC tumours induce cachexia. (A) Schematic for (B)–(E). n = 3 male (sham), 4 male (PDAC D8), 5 male (PDAC D11) and 4 male (PDAC D15). (B) Cumulative food intake for PDAC and sham animals. The mixed-effects model showed statistical significance in the time/tumour interaction. Finteraction(11, 74) = 5.822, P [less than] 0.0001. (C) Pancreas mass across OT-PDAC progression. Two PDAC mice euthanized prematurely were excluded from the tumour mass data. (D) EchoMRI measured fat mass relative to baseline across the OT-PDAC progression. (E) EchoMRI measured fat-free mass relative to baseline across the OT-PDAC progression. Error bars represent SEM. Four-group analyses were tested with a one-way ANOVA and Tukey correction for multiple comparisons. *P [less than] 0.05, **P [less than] 0.01, ***P [less than] 0.001 and ****P [less than] 0.0001.
Figure 2. Pre-cachexia is defined as skeletal muscle vulnerability to nutritional stress. (A) Schema of the food restriction (FR) pre-cachexia model used in (B)–(F). n = 3 female and 2 male (sham ad libitum); 2 female and 4 male (sham FR); 3 female and 2 male (PDAC ad libitum); and 2 female and 4 male (PDAC FR). (B) Pancreas/tumour mass. (C) EchoMRI measured fat and fat-free mass relative to baseline. (D) gWAT mass. (E) Gastrocnemius mass. (F) qPCR analysis of muscle atrophy genes measured in gastrocnemius muscle. Error bars represent SEM. All analyses for 2 × 2 studies were statistically tested with a full-effects model, a two-way ANOVA and the Šidák multiple comparisons test. *P [less than] 0.05, **P [less than] 0.01, ***P [less than] 0.001 and ****P [less than] 0.0001.
Lipid oxidation by the liver is postulated to be an essential mechanism for lean tissue sparing during fasting, as evidenced by the dependence of muscle preservation on adequate lipid stores and normal hepatic function.3,S10 As others have reported,11 we observed that PDAC impairs ketone release after fasting in both OT-PDAC mice and the autochthonous PDAC, KrasG12D/+;Tp53R172H/+;Pdx-cre (KPC) mouse model (Figures 3A,B and S2A). We also found that patients with localized PDAC, who are instructed to fast for at least 8 h prior to resection, had lower blood ketones than healthy controls, regardless of whether they exhibited low skeletal muscle mass (Figure 3C and Table S1). In OT-PDAC mice, there was no difference in plasma acetoacetate: BHB, indicating no change in hepatocyte mitochondrial redox state26 (Figure S2B–D). In response to an octanoate challenge, we observed impaired ketogenic potential in PDAC mice, compared to sham11,S11 (Figure 3D). At the transcriptional level, the expression of key enzymes involved in liver lipid import (Cpt1), β-oxidation (Acadm, Acadl, Acat1, Acox1, Acsl1, Echs1 and Ehhadh), ketogenesis (Acaa2, Bdh1, Hmgcl and Hmgcs2) and the master regulator of lipid metabolism, Ppara, were all decreased in the livers of PDAC mice, compared to sham (Figure 3E,F). Although the expression of lipid oxidation genes is regulated by lipid availability, we observed no differences in plasma levels of triglycerides or non-esterified fatty acids (NEFAs) (Figure S2E–H). Furthermore, we did not see differences in lipid content in gastrocnemius muscle or whole liver tissue, indicating that the decrease in β-oxidation did not yield lipid buildup in either tissue (Figure S2I–Q). These data show that impairments in ketogenesis, a metabolic adaptation to undernutrition, are pervasive across both mouse models of PDAC and human patient populations.
Figure 3. PDAC impairs the hepatic adaptive ketogenic response to fasting. (A) Blood ketone levels in ad libitum and fasted sham and PDAC mice with the schema of the pre-cachexia model used in (A), (E) and (F). n = 3 female and 3 male mice per group. (B) Fasting ketones measured in autochthonous KPC mice and littermate KP controls, collected from 12- to 13-week-old mice after a 24-h fast. n = 3 female and 3 male (KP); 7 female and 2 male (KPC). (C) Fasting ketones measured in plasma from non-sarcopenic and sarcopenic patients with PDAC at the time of laparotomy. n = 14 control, 20 non-sarcopenic PDAC and 18 sarcopenic PDAC with sarcopenia. Controls were collected from patients undergoing endoscopic ultrasound for non-malignant indications. (D) Octanoate challenge blood ketone levels in sham and PDAC mice and schema for octanoate challenge after a 16-h fast. n = 4 female and 4 male (PDAC); 3 female and 4 male (sham). (E) qPCR analysis of lipid metabolism genes measured in liver tissue. (F) Schematic depicting the relative expression of hepatic β-oxidation and ketogenic genes from (E), with colour representing log2 fold-change (PDAC vs. sham). Error bars represent SEM. All analyses for 2 × 2 studies were statistically tested with a full-effects model, a two-way ANOVA and the Šidák multiple comparisons test. A three-group analysis was tested with a one-way ANOVA and Tukey correction for multiple comparisons. A two-group analysis was tested with an unpaired t test. *P [less than] 0.05, **P [less than] 0.01, ***P [less than] 0.001 and ****P [less than] 0.0001.
We were next interested in understanding the nature of the signal to the liver that drives metabolic reprogramming. Elevated circulating IL-6 is associated with PDAC cachexia in patients and mice, and prior work showed restored ketogenesis in tumour-bearing mice treated with IL-6-neutralizing antibody.8,9,11 We measured elevated IL-6 in plasma from PDAC patients and our OT-PDAC model (Figure 4A,B). The KPC cells we used in OT-PDAC did not produce or release IL-6, and when we implanted these cells into IL-6−/− mice, we did not detect IL-6 in the plasma (Figures 4B and S3A). To identify the source of tumour-associated IL-6, we measured protein levels across tissues and found that pancreas/tumour tissue had the largest increase in IL-6 protein between sham and OT-PDAC mice (Figure S3B). Because very low levels of circulating IL-6 are observed in sham mice, we interpreted the high but equivalent IL-6 concentration in sham and PDAC liver and brown adipose tissue as reflecting intracellular cytokine stores. This led us to further investigate the intra-tumoural cell population producing IL-6. We identified podoplanin (PDPN)-positive cancer-associated fibroblasts, and CD45+ immune cells had the highest levels of IL-6 and that CD45+ immune cells were the most abundant cell population quantified (Figure S3C,D). Within the CD45+ population, CD11b+ (myeloid) cells had the highest IL-6 signal. We concluded that a mixed population of major histocompatibility complex II (MHCII)-negative and MHCII-positive myeloid cells are the major producers of IL-6 in the PDAC microenvironment (Figure S3E,F).
Figure 4. Impaired ketogenesis and cachexia in PDAC mice are IL-6 dependent. (A) IL-6 protein measured in plasma from control, non-sarcopenic and sarcopenic patients with PDAC at the time of laparotomy. n = 14 control, 20 PDAC without sarcopenia and 18 PDAC with sarcopenia. Controls were collected from patients undergoing endoscopic ultrasound for non-malignant indications. (B) IL-6 concentration in plasma of WT and IL-6−/− mice. (C) Gastrocnemius mass at euthanasia, normalized to the initial body weight. (D) qPCR analysis of muscle atrophy genes measured in gastrocnemius muscle. (E) qPCR analysis of lipid metabolism genes measured in liver tissue at 10 days after tumour implantation in ad libitum-fed mice. n = 3 female and 3 male (sham/WT); 3 female and 2 male (sham/IL-6−/−); 3 female and 3 male (PDAC/WT); and 4 female and 2 male (PDAC/IL-6−/−). (F) Blood ketone levels in WT and IL-6−/− PDAC mice in response to octanoate challenge after 16-h fast and timeline schematic showing the 16-h fast paradigm. n = 8 male mice per group. (B)–(E): n = 2 female and 3 male (sham/WT); 2 female and 3 male (sham/IL-6−/−); 3 female and 2 male (PDAC/WT); and 3 female and 3 male (PDAC/IL-6−/−). Error bars represent SEM. All analyses for 2 × 2 studies were statistically tested with a full-effects model, two-way ANOVA with Tukey correction for multiple comparisons. The octanoate challenge was statistically tested with repeated measures ANOVA with Šidák correction for multiple comparisons. Three-group analyses were tested with a one-way ANOVA and Tukey correction for multiple comparisons. Pairwise comparisons were tested with a parametric, unpaired t test. *P [less than] 0.05, **P [less than] 0.01, ***P [less than] 0.001 and ****P [less than] 0.0001. Independent biological replicates are indicated by individual points on bar graphs.
To test whether whole-body IL-6 knockout (IL-6−/−) mice would be refractory to cachexia development and ketogenic impairment, we implanted wild-type (WT) and IL-6−/− mice with PDAC tumours and maintained them on an ad libitum diet for 11 days, at which timepoint WT mice have fully developed cachexia. There were no significant differences in food intake, body mass, tumour size or gonadal white adipose tissue (gWAT) mass across genotypes (Figure S4A–D). However, IL-6−/− mice were resistant to PDAC-induced muscle wasting, as evidenced by the preservation of gastrocnemius muscle mass and decreased expression of muscle atrophy genes (Fbxo32, Foxo1 and Trim63) (Figure 4C,D). Together, these data demonstrate that IL-6 is necessary for the development of muscle wasting in our PDAC model and broadly support prior research showing that IL-6 is a major contributor to PDAC cachexia.10 We then evaluated hepatic metabolism in WT and IL-6−/− mice. Expression of hepatic genes involved in the initial steps of β-oxidation (Acadm, Acadl, Acox1 and Acaa2) had restored expression in IL-6−/− PDAC mice (Figure 4E). Accordingly, both fasting ketone levels and ketogenic potential, as evaluated by the octanoate challenge, were increased in IL-6−/− PDAC mice, compared to WT (Figures 4F and S4E). These data confirm that alterations in hepatic lipid metabolism in PDAC cachexia are dependent on IL-6 signalling.
Hepatic signal transducer and activator of transcription 3 mediates hepatic metabolic reprogramming and cachexia in pancreatic ductal adenocarcinoma miceBecause hepatocytes express the IL-6 receptor (IL-6R) and phosphorylate STAT3 in response to IL-6,27 we hypothesized that IL-6 exerts direct effects on hepatocytes to impair hepatic metabolism. We tested the effect of PDAC on liver metabolism and cachexia generation in hepatocyte-specific Stat3 knockout (Alb-Cre/Stat3fl/fl, referred to as Li-Stat3−/−) mice and pair-fed littermate controls (Figure 5A,B). Using ROSAmT/mG;Alb-Cre reporter mice, we validated that Cre recombinase expression was restricted to hepatocytes (Figure S5A–C). Liver STAT3 phosphorylation and liver Socs3 expression were increased in PDAC-bearing littermate control mice but not in Li-Stat3−/− mice, verifying that STAT3 activity was ablated in the livers of Li-Stat3−/− mice even in the presence of an equivalent concentration of circulating IL-6 (Figure S5D–G). We did not see any significant differences in cumulative food intake, body mass, tumour, gWAT or liver masses between genotypes (Figure S5H–L). Notably, hepatocyte-specific STAT3 deletion completely reversed PDAC-associated gastrocnemius muscle wasting and suppressed expression of muscle catabolism genes (Fbxo32, Foxo1 and Trim63) (Figure 5C,D). As in the IL-6−/− mice, we found that Li-Stat3−/− PDAC mice had restored expression of several genes related to β-oxidation and ketogenesis (Acadm, Acadl, Bdh1 and Ehhadh) (Figure 5E). Finally, we conducted an octanoate challenge after a 16-h fast and found that Li-Stat3−/− PDAC, compared to littermate control PDAC mice, had higher fasting blood ketones and improved ketogenic potential (Figures 5F and S5M). These data demonstrate that hepatic reprogramming in response to IL-6 is sufficient to drive PDAC cachexia.
Figure 5. Hepatic STAT3 mediates hepatic metabolic reprogramming and cachexia in PDAC mice. (A) Schema for (B)–(E). n = 3 female and 3 male (sham/control); 2 female and 4 male (sham/Li-Stat3−/−); 2 female and 4 male (PDAC/control); and 3 female and 5 male (PDAC/Li-Stat3−/−). (B) Western blot for STAT3 (top) and β-actin (bottom) and densitometry analysis of STAT3 western blot, normalized to β-actin expression. (C) Gastrocnemius muscle, normalized to initial body weight. (D) qPCR analysis of muscle atrophy genes measured in gastrocnemius muscle. (E) qPCR analysis of lipid metabolism genes measured in liver tissue. (F) Blood ketone levels in PDAC mice in response to octanoate challenge and schema showing the 16-h fast paradigm. n = 3 female and 3 male (PDAC/Li-Stat3−/−); 4 female and 3 male (PDAC/control). Time × genotype interaction, F(4, 44) = 4.09, P = 0.007. Error bars represent SEM. All analyses for 2 × 2 studies were statistically tested with a full-effects model two-way ANOVA with Tukey correction for multiple comparisons. The octanoate challenge was statistically tested with repeated measures ANOVA with Šidák correction for multiple comparisons. Pairwise comparisons were statistically tested with a parametric, unpaired t test. *P [less than] 0.05, **P [less than] 0.01, ***P [less than] 0.001 and ****P [less than] 0.0001. Independent biological replicates are indicated by individual points on bar graphs.
Our observations that circulating ketones were lower across several PDAC datasets led us to question whether lower ketone levels were detrimental to muscle and if restored ketogenesis would be protective against cachexia. Although PDAC mice exhibit a deficit in fasting ketogenesis, we questioned whether chronic exposure to a KD would yield sufficient ketones to preserve muscle. We fed PDAC and sham mice with a carbohydrate-free KD (Tables S2 and S3), which was selected to maximally engage ketogenic metabolism or a calorically matched control diet for 10 days following implantation (Figures 6A and S6A–E and Table S3). We pair-fed sham mice to PDAC given the same diet to focus our study on tumour-driven, rather than calorie-driven effects on muscle and liver. KD did not affect the size of the tumour or plasma IL-6 levels (Figure S6G,H). We also did not see differences in cumulative caloric intake, body mass, gross liver mass or gross gWAT mass between any of the groups (Figure S6A–E,I,J). As expected, KD induced elevated blood ketone levels, decreased blood glucose levels and increased plasma triglyceride levels (Figure 6A and S6K,L). Next, we looked at the expression of hepatic lipid metabolism genes and found that KD restored the expression of several genes that were downregulated in control-diet PDAC mice, including Acadl, a dehydrogenase essential for fatty acid oxidation; Acaa2, the final step in mitochondrial β-oxidation; Hmgcs2, the rate-limiting step in ketogenesis; and Bdh1, the interconversion step between the ketone bodies acetoacetate and BHB (Figure 6B). The restoration of fasting ketone levels and hepatic gene expression indicate that the removal of carbohydrates from the diet is sufficient to reverse PDAC-induced metabolic reprogramming. Furthermore, KD prevented PDAC-associated muscle wasting, measured as both gastrocnemius and tibialis anterior (TA) gross muscle mass and TA myofibre cross-sectional area (Figures 6C–E and S6M–O). Paradoxically, KD did not reverse the increased expression of atrophy markers Trim63, Foxo1 and Fbxo32 in gastrocnemius muscle (Figure 6F), which suggests that ketones exert pro-anabolic effects even in the presence of increased catabolism in cachexia. We used cultured C2C12 myotubes to test whether ketones act directly on muscle to preserve muscle mass and found that BHB was sufficient to prevent myotube atrophy in myotubes treated with KPC cell conditioned medium (CM) (Figure S7A,B). While KPC CM treatment increases myotube expression of E3 ubiquitin ligases Trim63 and Fbxo32, as we saw in mice fed with KD, increased expression of atrophy-associated genes was not reversed with BHB treatment (Figures 6F and S7C). These data indicate that ketone bodies are sufficient to prevent myotube atrophy without normalizing E3 ubiquitin ligase expression.
Figure 6. A ketogenic diet prevents hepatic metabolic reprogramming and cachexia in PDAC mice, independent of IL-6. (A) Blood ketone levels at euthanasia and timeline schematic for the in vivo ketogenic diet study used in (A)–(F). n = 6 male mice (sham/CD, sham/KD and PDAC/KD) and 5 male mice (PDAC/CD). (B) qPCR analysis of lipid metabolism genes measured in liver tissue. (C) Tibialis anterior muscle mass normalized to initial body weight. (D) Quantification of the minimum Feret diameter of myofibres from PDAC mice fed with control or KD. Feret diameters were binned to a histogram and fit with a non-linear regression (Gaussian, least squares regression). Myofibres in KD PDAC mice were significantly larger; P [less than] 0.0001 by the extra sum-of-squares F test. (E) Gastrocnemius muscle mass normalized to the initial body weight. (F) qPCR analysis of muscle atrophy genes measured in gastrocnemius muscle. Error bars represent SEM. All analyses for 2 × 2 studies were statistically tested with a two-way ANOVA with Tukey correction for multiple comparisons. *P [less than] 0.05, **P [less than] 0.01, ***P [less than] 0.001 and ****P [less than] 0.0001. Independent biological replicates are indicated by individual points on bar graphs.
Although the aetiology of weight loss in PDAC is multifactorial, we identified an early cachexia phenotype, which is defined by the specific vulnerability of skeletal muscle to FR or fasting. FR was sufficient to induce muscle wasting in mice before overt symptoms of cachexia (muscle loss, weight loss or anorexia) were present. It is important to highlight that pure undernutrition (fasting or FR) did not cause muscle wasting in healthy mice. Sensitivity to FR in pre-cachectic PDAC mice was not due to hypermetabolism or impaired nutrient absorption. Instead, the data pointed towards dysfunction in the adaptive hepatic metabolic response, implicating the liver as a central mediator of early cachexia.25,S12 Humans and mice are consistently cycling through fasting and feeding states over the course of the day, and extended periods of fasting are especially apparent during sleep hours.28 If the biology we describe herein is present in cachectic patients, this presents a daily fasting event to which they may be particularly vulnerable. The canonical metabolic response to fasting is to utilize stored lipids, and, as a result, humans experience the highest levels of blood ketones during their sleep hours.29 In the absence of lipid oxidation, the liver must utilize other substrates for gluconeogenic and ketogenic metabolism, such as glycogen and amino acids mobilized from the muscle.3 Many have speculated that a reliance on muscle breakdown to supply energy to the body is a contributor to cachexia progression, and our data provide one novel mechanism by which such a reliance could develop.30
Notably, Stat3 deletion from hepatocytes was sufficient to reverse muscle catabolism and restore ketogenesis even in the presence of circulating IL-6. Our results extend prior work by Flint et al. linking IL-6 to impaired ketogenesis, providing the first direct evidence that hepatic ketogenesis is essential for muscle preservation in cachexia and defining the hepatocyte as the target for the anti-ketogenic actions of IL-6.11 Our two knockout approaches—whole-body Il-6−/− and Li-Stat3−/−—reveal the liver to be a novel target for IL-6 signalling in cachexia. To our knowledge, this is also the first evidence that hepatic STAT3 activation could suppress lipid oxidation. Existing literature shows that constitutive hepatic STAT3 activation suppresses the gluconeogenic genes Pck1 and G6pc, which are similarly upregulated in a low nutrient context.31 Despite the apparent deficit in β-oxidation, PDAC mice did not exhibit fatty liver, which may be explained by the anti-lipogenic effect of STAT3 activation, which can prevent steatosis in obesity models by inhibiting sterol regulatory element-binding protein 1 (SREBP-1).32 This provides evidence that STAT3 can transcriptionally repress lipid metabolism in the liver and that repressive control of hepatic adaptive metabolism is conserved across metabolic syndromes.
Ketogenesis is impaired in early-stage cachexia, and the data presented here recapitulate previous reports indicating that increasing ketone production preserves skeletal muscle in murine models of cancer cachexia.21,22 That ketones were sufficient to reverse myotube wasting in vitro suggests that ketones may exert anti-catabolic effects directly on muscle, a concept supported by human data showing that infusion with BHB reduces muscle protein catabolism.33 Our results contradict recent reports showing that KD did not prevent cachexia in a KRAS-driven murine lung cancer model, a heterotopic C26 colon cancer model or the autochthonous genetically engineered KPC PDAC model.16,34,35 Furthermore, KD delayed tumour growth in the latter two models, yet we observed no effect of KD on tumour size. These discrepant results could be explained by differences in the KD interventions or duration of KD feeding. First, in the prior studies, healthy mice were not calorically matched to cachectic mice, so wasting in tumour-bearing mice may simply reflect a significant difference in calorie intake. Their observation that dexamethasone both increased KD intake and decreased cachexia reinforces the importance of sufficient nutritional intake and outlines the challenges of initiating KD intervention late in the course of cachexia development. The window to see a benefit in skeletal muscle preservation from KD may be limited, as our study only evaluated mice with early-stage cachexia. Second, the prior studies used a low-carbohydrate (1.8% kcal), low-protein (4.7% kcal) KD, whereas we fed mice with a carbohydrate-free diet with nearly double the caloric content provided by protein (9.5% kcal). The effects of the low-carbohydrate, low-protein diet on tumour growth and cachexia endpoints in the studies by Ferrer et al. could have been the result of protein malnutrition. Finally, the window to see a benefit in skeletal muscle preservation from KD may be limited, as our study only evaluated mice with early-stage cachexia. Particularly in survival studies, if KD does not provide benefit to survival, it may be difficult to observe benefit in muscle retention at animals' humane endpoints. Similarly, if KD is effective in reducing tumour burden, we may not have observed this effect in our 10-day studies when mice have not reached terminal-stage tumour burden.
The heterogeneity in mouse models' response to KD highlights the complexity of introducing this as an anti-cachectic therapeutic. Not all patients with cachexia exhibit elevated levels of IL-6, and the levels of other cachexia mediators, such as growth and differentiation factor-15 or tumour necrosis factor, are not uniformly elevated across all patients with cachexia.7,S13,S14 It is possible that different inflammatory states impact the efficacy of KD as a cachexia intervention. The beneficial effects of ketones may also be dose-dependent or rely upon the specific nutritional constitution of the intervention. More work is needed to elucidate how feeding times, carbohydrate and protein content, and impaired digestion (pancreatic enzyme insufficiency) might impact the efficacy of KD.36 Although adherence to a KD is challenging for cancer patients, numerous clinical trials are investigating this intervention further.37 Despite these challenges, it is important to consider that retained muscle mass, even for a limited time early in cancer diagnosis, could provide substantial benefits to patients by improving quality of life and increasing the tolerability of anti-tumour interventions.
There are several notable limitations of this study. First, we utilize an OT-PDAC model with a relatively short experimental timeline. Although we are using this model to provide evidence for metabolic changes early in the development of cachexia, cachectic patients experience early-stage cachexia for much longer than the 7–10 days represented in our studies. The limited timeline also limits our ability to provide evidence for the efficacy of KD for longer time frames in cachexia treatment. The FR paradigm we utilized was not chosen to replicate the conditions present in human patients but rather to place a challenge on the adaptive metabolic processes we hypothesized to be impaired in cachexia. Using this paradigm reflects strategies that are used in pre-clinical and clinical settings to challenge various aspects of physiology (e.g., glucose tolerance test, adrenocorticotropic hormone [ACTH] simulation test and cardiac stress test), but does not provide a completely accurate representation of the patient experience. The effects of KD, IL-6 knockout and hepatocyte-specific Stat3 knockout in cachexia development warrant further investigation in other models of PDAC cachexia. In addition to IL-6, other activators of STAT3, such as leukaemia inhibitory factor (LIF), leptin and oncostatin M (OSM), may also meaningfully activate STAT3 in PDAC.38 We also did not consider how IL-6R and IL-6 trans-signalling might contribute to cachexia development in our model, which would be an important future consideration as the liver is a source of IL-6R and trans-signalling is thought to mediate the pro-inflammatory effects of IL-6.10 Lastly, the relative effects of ketones on skeletal muscle catabolic and anabolic processes and the contribution of each to skeletal muscle preservation in our models remain unknown.
Early PDAC cachexia is defined by an increased susceptibility to FR orfasting, and a dysfunctional response to energy loss. Central to this is the failure of the liver to increase ketogenesis in PDAC mice (Figure 7). We observed global downregulation of lipid oxidation genes in the livers of PDAC mice, which was reversed by three interventions: KD, whole-body IL-6 knockout and hepatocyte-specific Stat3 knockout. Our work defines a novel role for hepatic metabolic reprogramming in PDAC cachexia and identifies a new mechanism by which IL-6 influences skeletal muscle wasting. Ultimately, this work highlights the importance of understanding nutritional and metabolic states in cachectic patients and provides evidence that strategies that improve ketogenesis could be valuable adjuvant interventions for cachectic patients.
Figure 7. Summary of the main findings. Undernutrition leads to increased lipid oxidation in the liver, producing ketones as an energy source. This adaptive metabolic strategy spares muscle from breakdown during undernutrition. PDAC tumours secrete IL-6, which signals through STAT3 in the liver to block ketogenesis. Loss of adaptive lipid metabolism leads to muscle loss in pre-cachectic animals.
We thank Dr. Daniel Marks and all members of the Grossberg and Marks labs for their helpful discussion and suggestions. Graphical schematics were made using BioRender (
RE is a paid consultant and conducts ongoing research for Lyell Immunopharma. The other authors declare no competing interests.
FundingThis work was supported by the National Cancer Institute (K08CA245188, R37CA280692 and R01CA264133), the Brenden-Colson Center for Pancreatic Care, the Oregon Pancreas Tissue Registry, the Histopathology Shared Resource for Pathology Studies (University Shared Resource Program at Oregon Health and Science University [OHSU] Knight Cancer Institute [P30 CA069533 and P30 CA069533 13S5]) and the OHSU Flow Cytometry Shared Resource (OHSU Knight Cancer Institute NCI Cancer Center Support Grant P30 CA069533).
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Abstract
Background
Patients with pancreatic ductal adenocarcinoma (PDAC) often suffer from cachexia, a wasting syndrome that significantly reduces both quality of life and survival. Although advanced cachexia is associated with inflammatory signalling and elevated muscle catabolism, the early events driving wasting are poorly defined. During periods of nutritional scarcity, the body relies on hepatic ketogenesis to generate ketone bodies, and lipid metabolism via ketogenesis is thought to protect muscle from catabolizing during nutritional scarcity.
Methods
We developed an orthotopic mouse model of early PDAC cachexia in 12-week-old C57BL/6J mice. Murine pancreatic cancer cells (KPC) were orthotopically implanted into the pancreas of wild-type, IL-6−/−, and hepatocyte STAT3−/− male and female mice. Mice were subject to fasting, 50% food restriction, ad libitum feeding or ketogenic diet interventions. We measured longitudinal body composition by EchoMRI, body mass and food intake. At the endpoint, we measured tissue mass, tissue gene expression by quantitative real-time polymerase chain reaction, whole-body calorimetry, circulating hormone levels, faecal protein and lipid content, hepatic lipid content and ketogenic response to medium-chain fatty acid bolus. We assessed muscle atrophy in vivo and C2C12 myotube atrophy in vitro.
Results
Pre-cachectic PDAC mice did not preserve gastrocnemius muscle mass during 3-day food restriction (−13.1 ± 7.7% relative to food-restricted sham, P = 0.0117) and displayed impaired fatty acid oxidation during fasting, resulting in a hypoketotic state (ketogenic response to octanoate bolus, −83.0 ± 17.3%, P = 0.0328; Hmgcs2 expression, −28.3 ± 7.6%, P = 0.0004). PDAC human patients display impaired fasting ketones (−46.9 ± 7.1%, P < 0.0001) and elevated circulating interleukin-6 (IL-6) (12.4 ± 16.5-fold increase, P = 0.0001). IL-6−/− PDAC mice had improved muscle mass (+35.0 ± 3.9%, P = 0.0031) and ketogenic response (+129.4 ± 44.4%, P = 0.0033) relative to wild-type PDAC mice. Hepatocyte-specific signal transducer and activator of transcription 3 (STAT3) deletion prevented muscle loss (+9.3 ± 4.0%, P = 0.009) and improved fasting ketone levels (+52.0 ± 43.3%, P = 0.018) in PDAC mice. Without affecting tumour growth, a carbohydrate-free diet improved tibialis anterior myofibre diameter (+16.5 ± 3.5%, P = 0.0089), circulating ketone bodies (+333.0 ± 117.6%, P < 0.0001) and Hmgcs2 expression (+106.5 ± 36.1%, P < 0.0001) in PDAC mice. Ketone supplementation protected muscle against PDAC-induced atrophy in vitro (+111.0 ± 17.6%, P < 0.0001 myofibre diameter).
Conclusions
In early PDAC cachexia, muscle vulnerability to wasting is dependent on inflammation-driven metabolic reprogramming in the liver. PDAC suppresses lipid β-oxidation and impairs ketogenesis in the liver, which is reversed in genetically modified mouse models deficient in IL-6/STAT3 signalling or through ketogenic diet supplementation. This work establishes a direct link between skeletal muscle homeostasis and hepatic metabolism. Dietary and anti-inflammatory interventions that restore ketogenesis may be a viable preventative approach for pre-cachectic patients with pancreatic cancer.
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1 Brenden-Colson Center for Pancreatic Care, Oregon Health & Science University, Portland, OR, USA
2 Division of Surgical Oncology, Department of Surgery, Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
3 Division of Oncological Sciences, Knight Cancer Institute, Oregon Health & Science University, Portland, OR, USA
4 Brenden-Colson Center for Pancreatic Care, Oregon Health & Science University, Portland, OR, USA; Department of Radiation Medicine, Oregon Health & Science University, Portland, OR, USA; Cancer Early Detection Advanced Research Center, Oregon Health & Science University, Portland, OR, USA