Skip to main content
Download PDF
Download ePub

Lipases and lipid droplet-associated protein expression in subcutaneous white adipose tissue of cachectic patients with cancer

Lipids in Health and Disease volume 16, Article number: 159 (2017) Cite this article

Abstract

Background

Cancer cachexia is a multifactorial metabolic syndrome characterized by marked loss of adipose tissue and skeletal muscle. Fat loss from adipose tissue in cancer cachexia is partly the result of increased lipolysis. Despite the growing amount of studies focused on elucidating the mechanisms through which lipolysis-related proteins regulate the lipolytic process, there are scarce data concerning that profile in the adipose tissue of cancer cachectic patients. Considering its fundamental importance, it was our main purpose to characterize the expression of the lipolysis-related proteins in the white adipose tissue of cachectic cancer patients.

Methods

Patients from the University Hospital were divided into three groups: control, cancer cachexia (CC), and weight-stable cancer patients (WSC). To gain greater insight into adipose tissue wasting during cancer cachexia progression, we have also analyzed an experimental model of cachexia (Walker 256 carcinosarcoma). Animals were divided into: control, intermediate cachexia (IC) and terminal cachexia (TC). Subcutaneous white adipose tissue of patients and epidydimal white adipose tissue of animals were investigated regarding molecular aspects by determining the protein content and gene expression of hormone-sensitive lipase (HSL), adipose triglyceride lipase (ATGL), comparative gene identification-58 (CGI-58), perilipin 1, leptin, adiponectin, visfatin, and tumour necrosis factor alpha (TNF-alpha).

Results

We found augmented lipolysis in CC associated with increased HSL expression, as well as upregulation of ATGL expression and reduction in perilipin 1 content. In IC, there was an imbalance in the secretion of pro- and anti-inflammatory factors. The alterations at the end-stage of cachexia were even more profound, and there was a reduction in the expression of almost all proteins analyzed in the animals.

Conclusions

Our findings show that cachexia induces important morphological, molecular, and humoral alterations in the white adipose tissue, which are specific to the stage of the syndrome.

Background

Adipose tissue is the body’s largest energy reservoir and a major source of metabolic fuel. In addition to its primary role, white adipose tissue has been affirmed as a major endocrine organ, since the tissue synthesizes and secretes an array of hormones and proteins, the adipokines [1]. These adipokines allow an extensive cross talk among adipose tissue and other organs, including the brain, the liver, and the skeletal muscle.

Cancer cachexia is a multifactorial metabolic syndrome characterized by marked loss of adipose tissue and skeletal muscle, which cannot be fully reversed by conventional nutritional support and leads to progressive functional impairment [2]. While muscle wasting is associated with shorter survival time and is clearly linked with reduced quality of life, depletion of fat is also a prognostic marker for poor outcome [3].

Fat loss from adipose tissue in cancer cachexia is partly the result of increased lipolysis [4,5,6,7,8,9]. Initially, hormone-sensitive lipase (HSL) was thought to be the rate-limiting enzyme of the first lipolytic step, while we now know that adipocyte triglyceride lipase (ATGL) is the key enzyme for lipolysis initiation. HSL mRNA and protein levels are increased in the adipose tissue of patients with cancer cachexia [10,11,12], and studies have shown increased ATGL expression in the adipose tissue of cachectic animals [11, 13]. Moreover, ATGL-deficient mice with tumors resisted increased white adipose tissue lipolysis and maintained normal adipose and gastrocnemius muscle mass [9].

Pivotal components have also been identified at the protective interface of the lipid droplet surface and in the signaling pathways that control lipolysis. Perilipin, comparative gene identification-58 (CGI-58), and other proteins of the lipid droplet surface are currently known to be key regulators of the lipolytic machinery, protecting or exposing the TAG core of the droplet to lipases [14].

Despite growing amount of studies focused on elucidating the mechanisms through which all these lipolysis-related proteins regulate the lipolytic process, there are scarce data concerning that profile in the adipose tissue of cancer cachectic patients. Considering its fundamental importance, it was our main purpose to characterize the expression of the lipolysis-related proteins in the subcutaneous white adipose tissue of cachectic cancer patients. To gain greater insight into adipose tissue wasting during cancer cachexia progression, we have also analyzed an experimental model of cachexia. Determination of some adipokines that may be involved in cachexia progression was also performed. We describe for the first time significant alteration in the protein expression of ATGL in the subcutaneous white adipose tissue of cachectic cancer patients.

Methods

Experimental design

Patients and sample collection

Patients were recruited between November 2008 and July 2010 at University Hospital of the University of São Paulo. The inclusion criteria were as follows: 1, not having received prior anticancer treatment and 2, willingness to participate. The exclusion criteria were as follows: chemotherapy at the time of the study; continuous anti-inflammatory therapy; and kidney or liver failure, acquired immunodeficiency syndrome, inflammatory bowel disease or chronic inflammatory processes not related with cachexia, such as autoimmune disorders. Patients with body mass index (BMI) greater than 29.9 kg/m2 were also excluded from the study. The study was approved by the Ethics Committee from the Institute of Biomedical Sciences and by the Human Ethics Committee of the University of São Paulo Hospital (CEP-ICB/USP 1117/13, CEP-HU/USP 752/07 and 1117/13, CAAE 0031.0.198.019–07). The investigation was explained in detail to each patients, and written informed consent was obtained. They were separated into three groups, based on diagnosis after surgery. The subjects were subdivided into cancer cachexia (CC, n = 17), weight-stable cancer (WSC, n = 10) and weight-stable control (non-cancer) (control, n = 7). Patients were considered cachectic based on criteria from international consensus [15]. Cachexia is recognized in patients with weight loss >5% in the past 6 months or any degree of weight loss >2% in the last 6 months + BMI < 20 kg/m2. The weight stable groups were considered as those with no important weight change during the previous year and BMI < 25 kg/m2. In the cancer groups (CC and WSC) the tumour primary location was colon, stomach, pancreas and other. The control group included patients undergoing surgery for incisional hernia and chronic cholecystitis, conditions which do not present chronic inflammation.

Approximately 10 mL of blood was collected after overnight fast, within the venous access procedure for anaesthesia during the surgery. Blood was collected into tubes containing EDTA and plasma samples were obtained after centrifugation (3000 rpm for 15 min at 4 oC). Plasma was stored at −80 °C for posterior analysis. Approximately 1 g of subcutaneous white adipose tissue was collected in within a 5 min interval, similarly to that described by Agustsson et al. [8]. The adipose tissue biopsy was immediately transferred into liquid nitrogen and kept at −80 oC before analysis. This procedure presents a minimal degree of risk and does not interfere with the surgery procedure.

Experimental cachexia model

Male adult Wistar rats (180–200 g), obtained from the Institute of Biomedical Sciences, University of São Paulo, were maintained in a 12 h light:12 h darkness cycle, under controlled temperature conditions (22 ± 2 °C) and relative humidity at 60%, receiving water and food (NUVILAB 1, Nuvital, Brazil) ad libitum. The Ethical Committee for Animal Research from the Institute of Biomedical Sciences, University of São Paulo, approved all the adopted procedures (Protocol no. 041/2005), which were carried out in accordance with the Brazilian College for Animal Experimentation (COBEA).

Weight and food intake were assessed three times per week, always in the afternoon. To characterise different stages of cachexia progression, animals were randomly assigned into three experimental groups: control, tumour-bearing sacrificed on the seventh day (intermediate cachexia - IC) and tumour-bearing sacrificed on the fourteenth day (terminal cachexia - TC) after tumour inoculation. Walker 256 tumour cells (2 × 107 cells) were injected subcutaneously into the right flank of the rats [16]. Control animals received saline injections on the same day of tumour inoculation. The experimental procedures were carried out on the seventh (IC group) and fourteenth days (control and TC groups) following tumour inoculation.

Real time PCR

Total RNA was obtained from aliquots of 300 mg of subcutaneous or epidydimal white adipose tissue by Trizol® reagent (Invitrogen, USA) extraction according to the manufacture’s recommendations. The first strand of cDNA was generated from 2 μg of total RNA, employing a commercial kit (High Capacity cDNA Reverse Transcription Kit, Invitrogen). Polymerase chain reaction (PCR) amplification was performed in duplicates, with SYBR Green PCR Master Mix (Applied Biosystems, CA, USA) in the QuantStudio™ 12 K Flex Real Time PCR (Applied Biosystems, CA, USA), employing the primers listed in Table 1. Gene expression was normalized to 18S (humans) or GAPDH (rats). Data were calculated with the 2-ΔΔCT method and are presented as the fold change in gene expression relative to the control sample.

Table 1 Specific primers used for real-time PCR analysis
Full size table

Protein analysis by Western blotting

The white adipose tissue was homogenised in 1.0 mL solubilisation buffer at 4 °C (1% Triton X-100, 100 mM Tris-HCl (pH 7.4), 100 mM sodium pyrophosphate, 100 mM sodium fluoride, 10 mM EDTA, 10 mM sodium orthovanadate, 2.0 mM phenylmethylsulphonyl fluoride (PMSF), and 0.1 mg aprotinin/mL) with a Polytron (model 713 T; Fisatom Equipamentos Científicos, São Paulo, SP, Brazil). Insoluble material was removed by centrifugation for 30 min at 9000 g in a 70.Ti rotor (Beckman, Fullerton, CA, USA) at 4 °C. The protein concentration of the supernatants was measured by the BCA assay. Proteins were denatured by boiling (5 min) in Laemmli sample buffer containing 100 mM DTT, run on 8, 10, or 12% SDS-PAGE gel in a Bio-Rad miniature slab gel apparatus. The electrotransfer of proteins from gels to nitrocellulose membranes was performed for ~1.30 h/4 gels at 15 V (constant) in a Bio-Rad semidry transfer apparatus. Nonspecific protein binding to the nitrocellulose was reduced by preincubation for 2 h at 22 °C in blocking buffer (1% bovine serum albumine, 10 mM Tris, 150 mM NaCl, and 0.02% Tween 20). The nitrocellulose membranes were incubated overnight at 4 °C with antibodies against HSL, ATGL, CGI-58, perilipin 1, and alpha-tubulin (Santa Cruz Biotechnology, CA, USA) diluted 1:  1000 with blocking buffer supplemented with 1% BSA and then washed for 30 min in blocking buffer without BSA. The blots were subsequently incubated with peroxidase-conjugated secondary antibody for 1 h at 22 °C. For evaluation of protein loading, membranes were stripped and reblotted with an anti-alpha-tubulin antibody as appropriate. Specific bands were detected by chemiluminescence, and visualization/capture was performed by exposure of the membranes to RX films. Band intensities were quantified by optical densitometry of developed autoradiographs (Scion Image software-Scion Corporation, Frederick, MD, USA).

Plasma determinations

Glucose, free fatty acids, triacilglycerol, HDL-cholesterol and total cholesterol plasma concentration was determined using commercial enzymatic kits (Labtest®, São Paulo, Brazil). LDL cholesterol was calculated according to Friedewald et al. Leptin and insulin plasma levels were measured by radioimmunoassay (Linco Research Inc. and Siemens, respectively). Adiponectin and visfatin plasma concentration was assessed by ELISA (Invitrogen,United States).

Adipokine tissue concentration

The adipose tissue was homogenised and centrifuged at 12,000 g for 40 min at 4 °C; the supernatant was saved, and the protein concentration was determined using the BCA assay (Bio-Rad, Hercules, California) with bovine serum albumin (BSA) as a reference. Quantitative assessment of adiponectin, visfatin and TNF-alpha tissue proteins was carried out by ELISA (DuoSet ELISA, R and D Systems, Minneapolis, MN) and the concentration of leptin was carried out by radioimmunoassay (Linco Reasearch, United States). All samples were assayed as duplicates, and the mean value was reported. Results were equalised to total protein.

Morphological analysis

Samples of the epididymal white adipose tissue were fixed in 4% paraformaldehyde, pH 7.4 for 24 h at 4oC, followed by dehydration in increasing ethanol solutions concentration (70, 95, 100%), cleared in xylene and then, embedded in paraffin. The sequential 5 μm sections obtained were stained with haematoxylin and eosin. Tissue images were obtained with a ×40 objective lens, recorded on a digital camera (DFC 295, Leica), displayed on a high resolution monitor (LG, Flatron, E1941). Morphometric aspects, area, average diameter, perimeter and shape were analysed and measured by Image Pro-Plus 6.0 (100 adipocytes per stained section).

Statistical analysis

The statistical analysis was performed using the software SigmaStat (version 3.1, SigmaStat, SYSTAT, Point Richmond, CA). Data are expressed are as mean ± s.e.m. and analysed by one-way analysis of variance. When a significant F-value was found by one-way analysis of variance, a Bonferroni’s post hoc test was performed to demonstrate all pairwise multiple comparisons between the means. A P < 0.05 was considered significant.

Results

Clinical findings

Baseline characteristics of the patients are shown in Table 2. All the groups were matched for age and body mass index (BMI). However, the CC patients showed considerably drastic body weight loss (about 5.0-fold compared to WSC, p < 0.05). Free fatty acids concentration was also markedly augmented in CC when compared with control (2.6-fold, p < 0.05). It is notable that both cancer groups showed dyslipidemia. Total-cholesterol was higher in CC and WSC relative to control (1.5-fold and 1.6-fold, respectively, p < 0.05). Similarly, there was an increased concentration of LDL-C in CC (2.3-fold) and WSC (1.9-fold), both p < 0.05. WSC also presented higher VLDL concentration when compared with CC (21%, p < 0.05). Results for IL-6, IL-10, TNF-alpha, adiponectin, leptin and resistin have been published previously [17].

Table 2 Characteristics of study groups
Full size table

Adipokines gene expression

Table 3 shows mRNA levels of leptin, adiponectin and visfatin in the subcutaneous white adipose tissue of patients. Adiponectin gene expression was almost 5.0-fold higher in CC when compared with control (p < 0.05). In the same way, mRNA levels of visfatin were significantly higher in CC (18-fold and 5.0-fold relative to control and WSC, respectively). Leptin gene expression was higher in WSC when compared with CC (p < 0.05).

Table 3 Adipokines gene expression in the subcutaneous white adipose tissue of patients
Full size table

Gene and protein expression of lipolysis-related proteins

The gene expression of HSL, ATGL, CGI-58 and perilipin-1 are showed in Fig. 1a. As expected, the gene expression of HSL in CC was higher than control (p < 0.05). On the other hand, there was no alteration in ATGL mRNA levels. However, gene expression of CGI-58, the ATGL co-activator, was increased in CC when compared with control patients (p < 0.05). Perilipin-1 gene expression was higher in WSC when compared with other groups (p < 0.05).

Fig. 1
figure 1

Lipolysis-related proteins expression in subcutaneous white adipose tissue from patients. CC cancer cachexia, WSC weight-stable cancer, HSL hormone-sensitive lipase, ATGL adipose triglyceride lipase, CGI-58 comparative gene identification-58. a Gene expression of HSL, ATGL, perilipin 1 and CGI-58. mRNA levels of target genes were normalized to 18 S, n = 7–12 per group. b Protein expression of HSL, ATGL and perilipin1, n = 8 per group. Values are mean ± s.e.m. * P < 0.05 versus Control, # P < 0.05 versus CC

Full size image

Similarly to HSL mRNA levels, the protein content of this enzyme was increased in CC when compared to control (p < 0.05) (Fig. 1b). It was also observed a higher protein content of ATGL in CC relative to control (p < 0.05). The perilipin-1 protein content was significantly decreased in CC when compared to control (p < 0.05).

Experimental findings

Characterization of cachexia syndrome

Walker 256 is a well-established experimental model of cancer cachexia inducing most of the syndrome-correlated symptoms that are reported for cancer patients, as weight loss, fat depletion and decrease of food intake [18, 19]. In agreement with previous reports, body weight was decreased (after tumour tissue weight was subtracted) in tumour-bearing animals. Body weight gain was 77.2 ± 6.1 g in control animals and 20.0 ± 6.1 g in IC (p < 0.05 related to other groups). Nevertheless, TC presented an important weight loss (28.6 ± 12.0 g) during the experimental period (p < 0.05 when compared with other groups). Anorexia, an important signal of cachexia, was evident in tumour-bearing rats. Food intake was reduced in IC by 38% and in TC by 54%, when compared with control (p < 0.05). This reduction was significant from the fifth day after tumour inoculation and remained until the end of the experimental period (data not shown).

Cancer cachexia had significant effect on relative weight (percentage of total body weight) of epididymal and retroperitoneal white adipose tissue. Both depots were reduced in IC and TC compared with control rats. However, no differences were found regarding relative weight of mesenteric adipose tissue, nor upon liver and muscle weight. The relative weight of tumour was 3.7-fold higher in TC (3.2 ± 1.2%) when compared with IC (12.0 ± 1.9%) (p < 0.05).

Plasma measurements

As illustrated by Table 4, the adiponectin and visfatin plasma concentration was diminished in TC (p < 0.05 when compared with control and IC). Plasma leptin levels were decreased in IC and TC (p < 0.05 vs. control). Plasma free fatty acids and triacylglycerol concentrations were increased in terminal cachexia (TC) when compared with control and IC groups.

Table 4 Plasma measurements of experimental groups
Full size table

Morphological aspects and morphometrical analysis

We examined whether the dramatic reduction in adipose tissue was apparent at the microscopic level. Haematoxylin/Eosin staining revealed important alterations between the epididymal white adipose tissue of control and cachectic animals. Adipocyte size was dramatically reduced in IC and TC when compared with control (p < 0.05) (Fig. 2). Moreover, tissue analysis showed cell size variation in IC (Fig. 2b) and shrunken and polygonal adipocytes in TC (Fig. 2c). Marked changes in the extracellular matrix were also observed in terminal cachexia, suggesting impairment of cellular function.

Fig. 2
figure 2

Morphological characteristics and morphometric analysis of epidydimal white adipose tissue during cachexia progression. IC intermediate cachexia, TC terminal cachexia. Morphometric analysis of cell surface area, diameter and perimeter of adipocytes from different experimental groups. (a) Control, (b) intermediate cachexia, (c) terminal cachexia. Note adipocytes of various sizes from IC and shrunken and shapeless adipocytes in TC. Values are mean ± s.e.m. * P < 0.05 versus control; # P < 0.05 versus IC

Full size image

Gene and protein expression of adipokines

The reduction in the epididymal white adipose tissue weight was accompanied by drastic changes in gene and protein expression of adipokines (Table 5). In the middle-stage of cachexia (IC) there was a reduction in leptin gene expression and an increase in adiponectin and visfatin mRNA levels (Table 5). At the end-stage of the syndrome (TC) there was a great reduction of adiponectin mRNA, and visfatin gene expression returned to control values, while leptin showed even lower mRNA levels (Table 5). In addition, we also evaluate the protein expression of leptin, adiponectin, visfatin and TNF-alpha (Table 5). There was a decrease in leptin and adiponectin tissue content in IC (P < 0.05 vs. control). At the end-stage of cachexia (TC) the response was different: the leptin tissue concentration was maintained and adiponectin showed an even more pronounced decrease (P < 0.001 vs. control and IC). The TNF-alpha tissue concentration was 2.0-fold higher in IC (P < 0.05 vs. control) and 2.5-fold higher in TC (P < 0.05 vs. control and IC). Moreover, the adiponectin concentration was inversely correlated with the TNF-alpha level in the epididymal white adipose tissue (r = − 0.80, P = 0.003) (Fig. 3).

Table 5 Adipokines gene and protein expression in the epidydimal white adipose tissue from animals
Full size table
Fig. 3
figure 3

Correlation between TNF-alpha and adiponectin levels in the epidydimal white adipose tissue from animals. n = 8–12 per group. Values are mean ± s.e.m.

Full size image

Gene and protein expression of proteins involved in lipolysis

To examine the contribution of lipases to mobilization of triacylglycerol, the gene and protein expression of HSL, ATGL, CGI-58 and perilipin 1 was carried out in the epididymal white adipose tissue (Fig. 4). The HSL gene expression was higher in IC, while other proteins were unaffected. At the end-stage of cachexia (TC), the HSL gene expression was similar to control values and the other proteins mRNA levels were reduced. However, protein expression showed a different pattern: ATGL and CGI-58 were reduced, while perilipin 1 presented a tendency for reduction (P = 0.06 vs. control) in TC.

Fig. 4
figure 4

Lipolysis-related proteins expression in epidydimal white adipose tissue during cancer cachexia progression. HSL hormone-sensitive lipase, ATGL adipose triglyceride lipase, CGI-58 comparative gene identification-58, IC intermediate cachexia, TC terminal cachexia. a Gene expression of HSL, ATGL, perilipin 1 and CGI-58. mRNA levels of target genes were normalized to GAPDH, n = 6–12 per group. b Protein expression of HSL, ATGL, perilipin 1 and CGI-58, n = 6–9 per group. Values are mean ± s.e.m. * P < 0.05 versus Control, # P < 0.05 versus IC

Full size image

Discussion

Clinical studies documenting enhanced lipolysis in cachectic cancer patients implicate lipases such as ATGL and HSL in the development of cachexia [9]. Our results show, for the first time, profound changes in ATGL and perilipin-1 protein expression in the subcutaneous white adipose tissue of cachectic cancer patients. Moreover, the CGI-58 modulation during cancer cachexia has never been shown before.

Lipolysis is tightly regulated through ATGL and HSL, of which ATGL is the initial rate-limiting enzyme in the conversion of triacylglycerol into glycerol and free fatty acids [20]. In agreement with previous reports, we observed a great increase in HSL gene and protein expression in the subcutaneous white adipose tissue in cancer cachexia. However, studies have shown that while HSL makes some contribution to enhanced lipolysis in cancer cachexia, ATGL-mediated lipolysis of triglycerides appears to predominate [9, 13]. The absence of ATGL and, to a lesser degree, HSL reduces fatty acids mobilization, retains white adipose tissue and muscle mass, and prevents cancer cachexia [9]. Consistent with these data, we showed for the first time an increased ATGL protein content in the subcutaneous white adipose tissue of cancer cachectic patients. ATGL activity is regulated through interaction with its co-regulator CGI-58, but in the basal state CGI-58 is sequestered in a complex with perilipin 1 [20]. Downregulation of perilipin due to chronic TNF-alpha treatment correlates with stimulation of lipolysis [2, 21]. Thus, the higher CGI-58 mRNA level concomitant with the reduced perilipin 1 content in the subcutaneous white adipose tissue of cachectic patients strongly confirm the crucial role of ATGL in the lipolytic process in such condition.

Studies of lipid metabolism in cachexia have generally focused on later stages of the disorder when severe loss of adipose tissue has already occurred. Therefore, we also studied adipose tissue in the Walker-256 carcinosarcoma model to identify the contribution of these lipolysis-related proteins to the fat mass loss during cachexia progression. In contrast to the aforementioned results, in cachectic cancer animals we detected an increase in the mRNA level of HSL only during the middle of the experimental period (IC), without any variation in HSL protein content. Interestingly, the ATGL mRNA and protein levels were markedly reduced at the end-stage of the syndrome (TC), as well as CGI-58 expression.

Recently our study group demonstrated an important structural modification in the subcutaneous white adipose tissue of cachectic patients, including remodeling of the extra-cellular matrix, increased collagen amounts, adipocyte size reduction, and adipose tissue atrophy [22]. Some aspects of this structural modification of the white adipose tissue were also observed in our experimental model. Evidence indicates that adipose tissue remodeling in obesity is closely associated with adipose tissue function [23]. Changes in the number and size of the adipocytes affect the microenvironment of expanded fat tissues, accompanied by alterations in adipocyte death, local hypoxia, and adipokine secretion [24].

Adipokines play a role in a wide variety of physiological or pathological processes, including immunity and inflammation, in addition to having significant effects on metabolism. The association between cancer cachexia and adipokine level alterations has been reported [17, 25, 26]. Increased production of lipolytic factors by the adipose tissue, such as TNF-alpha, contributes to the disrupted lipid metabolism and increased lipolysis in cancer cachexia [2, 8]. Thereby, the white adipose tissue is both a victim and a sponsor of cachexia-related systemic inflammation [7, 27].

Leptin has a pivotal role in the control of food intake, and there are controversial results on leptin and cancer cachexia in literature [19, 26, 28, 29]. We found a reduced leptin plasma level as well as mRNA and protein content in the epididymal white adipose tissue of cachectic animals. Previously, our study group also showed a decrease in leptin plasma level and mRNA content in the subcutaneous white adipose tissue of cancer cachetic patients [17]. It has been shown that pro-inflammatory cytokines, such as IL-1beta and TNF-alpha, decrease leptin gene and protein expression in adipocytes from subcutaneous white adipose tissue of humans [30]. This interaction might influence the circulating leptin levels and thereby the adipose tissue to brain signaling.

Insulin resistance is an early event in cachexia development and may be a role in cachexia pathogenesis [11]. According to literature, high plasma levels of leptin are related to insulin resistance, and leptin reduces insulin sensitivity in isolated adipocytes [31]. Therefore, it seems paradoxical that a positive association between low serum leptin levels and insulin resistance was found in cancer patients [32].

A recent study showed that insulin treatment prevented the increased expression of ATGL and HSL in the retroperitoneal white adipose tissue, as well as increased the food intake of tumor-bearing rats [11]. Visfatin (nicotinamide phosphoribosyltransferase – NAMPT) was described as an insulin-mimetic adipokine secreted from visceral fat [33]. We demonstrated a marked increase on visfatin gene expression in white adipose tissue in experimental intermediate cachexia (IC), and the same was observed in the subcutaneous white adipose tissue of cancer cachexia patients. Visfatin can improve insulin sensitivity [34], and we therefore hypothesize that this increase may be an attempt to compensate the insulin insensitivity observed in cachexia syndrome. However, its plasma and protein levels in white adipose tissue were not upregulated in these animals and patients. Moreover, animals at the end-stage of the syndrome (TC) showed reduced visfatin plasma levels as well as mRNA and protein content in white adipose tissue.

Adiponectin is another adipose-specific protein that is important to regulate insulin resistance and has a potent anti-inflammatory function. It circulates in high concentration in the plasma, and its levels are reported to be inversely correlated with body weight. Nevertheless, the role of this adipokine in the setting of cancer cachexia is controversial. We showed higher adiponectin plasma levels in cachectic cancer patients [17], as well as other study groups [26, 35]. However, inconsistent results show low adiponectin levels [25, 36], or even absence of correlation in cachexia patients [37]. The higher mRNA content in subcutaneous white adipose tissue of CC is consistent with our previous report [17]. Opposite results were found in experimental cancer cachexia. Using the experimental model, we showed that adiponectin levels increased in the fourth day after tumor inoculation and, subsequently, that level decreased (similar to cachectic cancer patients). This increase may represent a compensatory response aimed at controlling the syndrome progression.

The pro-inflammatory cytokine TNF-alpha, which is synthesized in both adipocytes and infiltrated macrophages [38], regulates the function and development of white adipose tissue by stimulating lipolysis and inhibiting lipogenesis and adipogenesis [39]. Furthermore, TNF-alpha has regulatory functions on adiponectin in the human visceral white adipose tissue, and TNF-alpha levels are elevated in states of insulin resistance [40]. We verified a progressive increase on TNF-alpha protein content in the visceral white adipose tissue of cachectic rats. Besides, there was a negative correlation between adiponectin and TNF-alpha levels in the visceral white adipose tissue of these animals. These data indicate a modulation of the chronically and locally produced TNF-alpha upon adiponectin synthesis by the white adipose tissue of cachectic animals.

Conclusions

Despite potential species-specific (human vs. rat) and depot-specific (subcutaneous vs. visceral) response, it is possible to infer that the data from cancer cachectic patients are similar to intermediate cachexia. Moreover, we hypothesize that the alterations in terminal cachexia animals are consistent to the alterations observed in patients with refractory cachexia.

The main findings of this study are integrating in Fig. 5. In summary, we found augmented lipolysis in cachectic patients associated with increased ATGL and HSL protein expression, as well as reduction in perilipin 1. On the intermediate stage of the syndrome, similar to the clinical study, there was an imbalance in the secretion of pro- and anti-inflammatory factors. At this stage, it seems that the modulation of adipokines gene expression is an attempt to unsuccessfully preserve fat mass. The alterations at the end-stage of cachexia were even more profound, and the marked decrease in adipokine and lipolysis-related protein expression, associated with changes in the extracellular matrix and adipocyte shape, suggests impairment of cellular function in terminal cachexia. Our findings show that cachexia induces important morphological, molecular and humoral alterations in the white adipose tissue, which are specific to the stage of the syndrome.

Fig. 5
figure 5

Changes along cachexia progression

Full size image

Abbreviations

ATGL:

Adipose triglyceride lipase

BMI:

Body mass index

CC:

Cancer cachexia patients

CGI-58:

Comparative gene identification-58

CRP:

C-reactive protein

GAPDH:

Glyceraldehyde 3-phosphate dehydrogenase

HDL:

High-density lipoprotein

HSL:

Hormone-sensitive lipase

IC:

Intermediate cachexia

LDL:

Low-density lipoprotein

TC:

Terminal cachexia

VLDL:

Very low-density lipoprotein

WAT:

White adipose tissue

WSC:

Weight-stable cancer patients

References

  1. Raajendiran A, Tsiloulis T, Watt MJ. Adipose tissue development and the molecular regulation of lipid metabolism. Essays Biochem. 2016;60:437–50.

    Article  PubMed  Google Scholar 

  2. Tisdale M. Mechanisms of cancer cachexia. Physiol Rev. 2009;89:381–410.

    Article  CAS  PubMed  Google Scholar 

  3. Murphy RA, Wilke MS, Perrine M, Pawlowicz M, Mourtzakis M, Lieffers JR, et al. Loss of adipose tissue and plasma phospholipids: relationship to survival in advanced cancer patients. Clin Nutr. 2010;29:482–7.

    Article  CAS  PubMed  Google Scholar 

  4. Klein S, Wolfe RR. Whole-body lypolisis and triglyceride-fatty acid cycling in cachectic patients with esophageal cancer. J Clin Invet. 1990;86:1403–8.

    Article  CAS  Google Scholar 

  5. Zuijdgeest-van Leeuwen SD, van den Berg JW, Wattimena JL, van der Gaast A, Swart GR, Wilson JH, et al. Lipolysis and lipid oxidation in weight-losing cancer patients and healthy subjects. Metabolism. 2000;49:931–6.

    Article  CAS  PubMed  Google Scholar 

  6. Rydén M, Agustsson T, Laurencikiene J, Britton T, Sjölin E, Isaksson B, Permert J, Arner P. Lipolysis--not inflammation, cell death, or lipogenesis--is involved in adipose tissue loss in cancer cachexia. Cancer. 2008;113:1695–704.

    Article  PubMed  Google Scholar 

  7. Batista ML Jr, Peres SB, McDonald ME, Alcantara PS, Olivan M, Otoch JP, Farmer SR, Seelaender M. Adipose tissue inflammation and cancer cachexia: possible role of nuclear transcription factors. Cytokine. 2012;57:9–16.

    Article  CAS  PubMed  Google Scholar 

  8. Agustsson T, Rydén M, Hoffstedt J, van Harmelen V, Dicker A, Laurencikiene J, et al. Mechanism of increased lipolysis in cancer cachexia. Cancer Res. 2007;67:5531–7.

    Article  CAS  PubMed  Google Scholar 

  9. Das SK, Eder S, Schauer S, Diwoky C, Temmel H, Guertl B, et al. Adipose triglyceride lipase contributes to cancer-associated cachexia. Science. 2011;333:233–8.

    Article  CAS  PubMed  Google Scholar 

  10. Thompson MP, Cooper ST, Parry BR, Tuckey JA. Increased expression of the mRNA for hormone-sensitive lipase in adipose tissue of cancer patients. Biochim Biophys Acta. 1993;1180:236–42.

    Article  CAS  PubMed  Google Scholar 

  11. de Morais H, de Fatima Silva F, da Silva FG, Silva MO, Graciano MFR, Martins MIL, et al. Insulin, not glutamine dipeptide, reduces lipases expression and prevents fat wasting and weight loss in Walker 256 tumor-bearing rats. Eur J Pharmacol. 2017,S0014-2999(17)30164-4.

  12. Cao DX, Wu GH, Yang ZA, Zhang B, Jiang Y, Han YS, et al. Role of beta1-adrenoceptor in increased lipolysis in cancer cachexia. Cancer Sci. 2010;101:1639–45.

    Article  CAS  PubMed  Google Scholar 

  13. Tsoli M, Schweiger M, Vanniasinghe AS, Painter A, Zechner R, Clarke S, Robertson G. Depletion of white adipose tissue in cancer cachexia syndrome is associated with inflammatory signaling and disrupted circadian regulation. PLoS One. 2014;9:e92966.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Frühbeck G, Méndez-Giménez L, Fernández-Formoso JA, Fernández S, Rodríguez A. Regulation of adipocyte lipolysis. Nutr Res Rev. 2014;27:63–93.

    Article  PubMed  Google Scholar 

  15. Fearon K, Strasser F, Anker SD, Bosaeus I, Bruera E, Fainsinger RL, et al. Definition and classification of cancer cachexia: an international consensus. Lancet Oncol. 2011,12:489–95.

  16. Seelaender MC, Nascimento CM, Curi R, Williams JF. Studies on the lipid metabolism of Walker 256 tumour-bearing rats during the development of cancer cachexia. Biochem Mol Biol Int. 1996,39:1037–47.

  17. Batista ML Jr, Olivan M, Alcantara PS, Sandoval R, Peres SB, Neves RX, et al. Adipose tissue-derived factors as potential biomarkers in cachectic cancer patients. Cytokine. 2013;61:532–9.

    Article  CAS  PubMed  Google Scholar 

  18. Kazantzis M, Seelaender MC. Cancer cachexia modifies the zonal distribution of lipid metabolism-related proteins in rat liver. Cell Tissue Res. 2005;321:419–27.

    Article  CAS  PubMed  Google Scholar 

  19. Lira FS, Yamashita AS, Rosa JC, Tavares FL, Caperuto E, Carnevali LC Jr, et al. Hypothalamic inflammation is reversed by endurance training in anorectic-cachectic rats. Nutr Metab (Lond). 2011;8:60.

    Article  CAS  Google Scholar 

  20. Lass A, Zimmermann R, Oberer M, Zechner R. Lipolysis - a highly regulated multi-enzyme complex mediates the catabolism of cellular fat stores. Prog Lipid Res. 2011;50:14–27.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Chung TH, Yen-Ping Kuo M, Chen JK, Huang DM. YC-1 rescues cancer cachexia by affecting lipolysis and adipogenesis. Int J Cancer. 2011;129:2274–83.

    Article  CAS  PubMed  Google Scholar 

  22. Batista ML Jr, Henriques FS, Neves RX, Olivan MR, Matos-Neto EM, Alcântara PS, Maximiano LF, Otoch JP, Alves MJ, Seelaender M. Cachexia-associated adipose tissue morphological rearrangement in gastrointestinal cancer patients. J Cachexia Sarcopenia Muscle. 2016;7:37–47.

    Article  PubMed  Google Scholar 

  23. Cotillard A, Poitou C, Torcivia A, Bouillot JL, Dietrich A, Klöting N, et al. Adipocyte size threshold matters: link with risk of type 2 diabetes and improved insulin resistance after gastric bypass. J Clin Endocrinol Metab. 2014;99:E1466–70.

    Article  CAS  PubMed  Google Scholar 

  24. Choe SS, Huh JY, Hwang IJ, Kim JI, Kim JB. Adipose tissue remodeling: its role in energy metabolism and metabolic disorders. Front Endocrinol (Lausanne). 2016;7:30.

    Google Scholar 

  25. Nakajima TE, Yamada Y, Hamano T, Furuta K, Gotoda T, Katai H, et al. Adipocytokine levels in gastric cancer patients: resistin and visfatin as biomarkers of gastric cancer. J Gastroenterol. 2009;44:685–90.

    Article  CAS  PubMed  Google Scholar 

  26. Smiechowska J, Utech A, Taffet G, Hayes T, Marcelli M, Garcia JM. Adipokines in patients with cancer anorexia and cachexia. J Investig Med. 2010;58:554–9.

    Article  CAS  PubMed  Google Scholar 

  27. Seelaender M, Batista M Jr, Lira F, Silverio R, Rossi-Fanelli F. Inflammation in cancer cachexia: to resolve or not to resolve (is that the question?). Clin Nutr. 2012;31:562–6.

    Article  PubMed  Google Scholar 

  28. Patra SK, Arora S. Integrative role of neuropeptides and cytokines in cancer anorexia-cachexia syndrome. Clin Chim Acta. 2012;413:1025–34.

    Article  CAS  PubMed  Google Scholar 

  29. Bing C. Lipid mobilization in cachexia: mechanisms and mediators. Curr Opin Support Palliat Care. 2011;5:356–60.

    Article  PubMed  Google Scholar 

  30. Bruun JM, Pedersen SB, Kristensen K, Richelsen B. Effects of pro-inflammatory cytokines and chemokines on leptin production in human adipose tissue in vitro. Mol Cell Endocrinol. 2002;190:91–9.

    Article  CAS  PubMed  Google Scholar 

  31. Schäffler A, Schölmerich J, Salzberger B. Adipose tissue as an immunological organ: toll-like receptors, C1q/TNFs and CTRPs. Trends Immunol. 2007;28:393–9.

    Article  PubMed  Google Scholar 

  32. Begenik H, Aslan M, Dulger AC, Emre H, Kemik A, Kemik O, et al. Serum leptin levels in gastric cancer patients and the relationship with insulin resistance. Arch Med Sci. 2015;11(2):346–52.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  33. Fukuhara A, Matsuda M, Nishizawa M, Segawa K, Tanaka M, Kishimoto K, et al. Visfatin: a protein secreted by visceral fat that mimics the effects of insulin. Science. 2005;307:426–30.

    Article  CAS  PubMed  Google Scholar 

  34. Sun Q, Li L, Li R, Yang M, Liu H, Nowicki MJ, et al. Overexpression of visfatin/PBEF/Nampt alters whole-body insulin sensitivity and lipid profile in rats. Ann Med. 2009;41:311–20.

    Article  CAS  PubMed  Google Scholar 

  35. Kerem M, Ferahkose Z, Yilmaz UT, Pasaoglu H, Ofluoglu E, Bedirli A, et al. Adipokines and ghrelin in gastric cancer cachexia. World J Gastroenterol. 2008;14:3633–41.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Kemik O, Kemik AS, Begenik H, Erdur FM, Emre H, Sumer A, Purisa S, Tuzun S, Kotan C. The relationship among acute-phase response proteins, cytokines, and hormones in various gastrointestinal cancer types patients with cachectic. Hum Exp Toxicol. 2012;31:117–25.

    Article  CAS  PubMed  Google Scholar 

  37. Wolf I, Sadetzki S, Kanety H, Kundel Y, Pariente C, Epstein N, et al. Adiponectin, ghrelin, and leptin in cancer cachexia in breast and colon cancer patients. Cancer. 2006;106:966–73.

    Article  CAS  PubMed  Google Scholar 

  38. Machado AP, Costa Rosa LF, Seelaender MC. Adipose tissue in Walker 256 tumour-induced cachexia: possible association between decreased leptin concentration and mononuclear cell infiltration. Cell Tissue Res. 2004;318:503–14.

    Article  PubMed  Google Scholar 

  39. Proença AR, Sertié RA, Oliveira AC, Campaña AB, Caminhotto RO, Chimin P, et al. New concepts in white adipose tissue physiology. Braz J Med Biol Res. 2014;47:192–205.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Hector J, Schwarzloh B, Goehring J, Strate TG, Hess UF, Deuretzbacher G, et al. TNF-alpha alters visfatin and adiponectin levels in human fat. Horm Metab Res. 2007;39:250–5.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgements

We thank Emilia Ribeiro for excellent technical assistance. The clinical and surgical work was performed at the University Hospital and we are grateful for all technical and staff support.

Funding

This work was supported by São Paulo Research Foundation (FAPESP 2012/50079–0) and CAPES.

Availability of data and materials

Data are available on request to the authors.

Author information

Authors and Affiliations

  1. Cancer Metabolism Research Group, Institute of Biomedical Sciences; Department of Surgery, Faculdade de Medicina, University of São Paulo, São Paulo, Brazil

    Renata Silvério, José P. Otoch & Marília Seelaender

  2. Exercise and Immunometabolism Research Group, Department of Physical Education, São Paulo State University (UNESP), Presidente Prudente, SP, Brazil

    Fábio S. Lira

  3. Departamento de Fisiologia, Universidade Federal de São Paulo, UNIFESP, São Paulo, Brazil

    Lila M. Oyama & Cláudia M. Oller do Nascimento

  4. Department of Clinical Surgery, University Hospital, University of São Paulo, São Paulo, Brazil

    José P. Otoch & Paulo S. M. Alcântara

  5. Laboratory of Adipose Tissue Biology, Center for Integrated Biotechnology, University of Mogi das Cruzes, Mogi das Cruzes, Brazil

    Miguel L. Batista Jr

  6. Institute of Biomedical Sciences, University of São Paulo, Av. Prof. Lineu Prestes, 1524, lab 434, São Paulo, SP, CEP 05508-900, Brazil

    Renata Silvério

Authors
  1. Renata Silvério
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Fábio S. Lira
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Lila M. Oyama
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Cláudia M. Oller do Nascimento
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. José P. Otoch
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Paulo S. M. Alcântara
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Miguel L. Batista Jr
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Marília Seelaender
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

RS designed the experiments, performed the experiments, analysed data and wrote the paper; FSL performed the experiments; LMO contributed to design the experiments and data analysis; CMON contributed to design the experiments and data analysis; JPO contributed to the patient recruitment, interviews, tissue and blood collection; PSMA contributed to the patient recruitment, interviews, tissue and blood collection; MLB contributed to the study concept and data analysis; MS coordinated the project funded by FAPESP, conceived and designed the experiments, contributed to the data analysis, reviewed drafts of the paper. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Renata Silvério.

Ethics declarations

Ethics approval and consent to participate

All proceedings were performed in agreement with the Declaration of Helsinki and approved by Ethics Committee on Research Involving Human Subjects of the Institute of Biomedical Sciences/University of São Paulo (788/CEP) and by the Ethics Committee on Animal Research of the Institute of Biomedical Sciences/University of São Paulo (50/2001). The acceptance for study participation and, data publication was obtained by written consent after detailed explanation.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Silvério, R., Lira, F.S., Oyama, L.M. et al. Lipases and lipid droplet-associated protein expression in subcutaneous white adipose tissue of cachectic patients with cancer. Lipids Health Dis 16, 159 (2017). https://doi.org/10.1186/s12944-017-0547-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12944-017-0547-x

Keywords

Lipids in Health and Disease

ISSN: 1476-511X