Skip to main content
Nephrology Dialysis Transplantation logoLink to Nephrology Dialysis Transplantation
. 2022 Dec 15;38(6):1408–1420. doi: 10.1093/ndt/gfac318

Fasting influences aquaporin expression, water transport and adipocyte metabolism in the peritoneal membrane

Ines P D Costa 1,b, Nicolas Hautem 2,b, Gugliemo Schiano 3, Shinichi Uchida 4, Tomoya Nishino 5,6,#, Olivier Devuyst 7,8,9,✉,#
PMCID: PMC10229272  PMID: 36520078

ABSTRACT

Background

The water channels aquaporin-1 (AQP1) and AQP7 are abundantly expressed in the peritoneal membrane. While AQP1 facilitates water transport during peritoneal dialysis (PD), the role of AQP7, which mediates glycerol transport during fasting, remains unknown.

Methods

We investigated the distribution of AQP7 and AQP1 and used a mouse model of PD to investigate the role of AQP7 in the peritoneal membrane at baseline and after fasting.

Results

Single nucleus RNA-sequencing revealed that AQP7 was mostly detected in mature adipocytes, whereas AQP1 was essentially expressed in endothelial cells. Fasting induced significant decreases in whole body fat, plasma glucose, insulin and triglycerides, as well as higher plasma glycerol and corticosterone levels in mice, paralleled by major decreases in adipocyte size and levels of fatty acid synthase and leptin, and increased levels of hormone-sensitive lipase mRNAs in the peritoneum. Mechanistically, fasting upregulated the expression of AQP1 and AQP7 in the peritoneum, with increased ultrafiltration but no change in small solute transport. Studies based on Aqp1 and Aqp7 knockout mice and RU-486 inhibition demonstrated that the glucocorticoid induction of AQP1 mediates the increase in ultrafiltration whereas AQP7 regulates the size of adipocytes in the peritoneum.

Conclusions

Fasting induces a coordinated regulation of lipolytic and lipogenic factors and aqua(glycero)porins in the peritoneum, driving structural and functional changes. These data yield novel information on the specific roles of aquaporins in the peritoneal membrane and indicate that fasting improves fluid removal in a mouse model of PD.

Keywords: AQP7, aquaglyceroporin, glycerol, metabolism, peritoneal dialysis

Graphical Abstract

Graphical Abstract.

Graphical Abstract


KEY LEARNING POINTS.

What is already known about this subject?

  • Fasting induces a progressive, significant decrease in body weight, plasma glucose, insulin and triglycerides.

  • The water channels aquaporin-1 (AQP1) and AQP7 are abundantly expressed in the peritoneal membrane.

What this study adds?

  • This study demonstrates that fasting induces a coordinated regulation of lipolytic and lipogenic factors, with upregulation of AQP7 and AQP1 in specific compartments of the peritoneal membrane, reflected by structural and functional changes.

  • Fasting increases ultrafiltration by upregulating AQP1 expression in the peritoneal membrane.

  • AQP7 is instrumental for regulating the size of adipocytes in the peritoneum.

What impact this may have on practice or policy

  • These results yield novel information on the specific roles of aquaporins and suggest that fasting may improve fluid removal during peritoneal dialysis.

  • Factors modulating the expression of AQP7 may be relevant in patients who experience increased visceral abdominal fat during peritoneal dialysis.

INTRODUCTION

Peritoneal dialysis (PD) is the leading modality for self-dialysis in patients with kidney failure [1]. The technique is based on the removal of water, metabolic products and toxins from patients through diffusive and convective transport processes across the peritoneal membrane. The endothelium lining the capillaries within the peritoneal membrane represents the rate-limiting step in solute and water transport. Computer simulations and studies in animal models and patients treated by PD have identified the water channel aquaporin-1 (AQP1) as the ultrasmall pore located in the endothelial barrier that facilitates the transport of water but not that of small solutes across the peritoneal membrane [2–4].

Since the identification of AQP1 as the archetypal water channel by Preston et al. [5], 13 mammalian aquaporin homologues have been identified along related proteins in plants, invertebrates and microorganisms [6–8]. The aquaporins are integral membrane proteins organized in tetramers, with each monomer containing six membrane-spanning α-helices surrounding a central pore. Structural and permeability characteristics define three subtypes of channels: the classic, water-specific aquaporins (AQP0, AQP1, AQP2, AQP4, AQP5, AQP6 and AQP8); the aquaglyceroporins (AQP3, AQP7, AQP9, AQP10), which are permeated by water and small solutes including glycerol; and the unorthodox or superaquaporins (AQP11 and AQP12), which share low homology with the other aquaporins and whose functions remain poorly defined [6, 8, 9].

We previously demonstrated that AQP1 and AQP7 are the most abundant aquaporins expressed in the mouse and human peritoneal membrane [3]. AQP1 is located in the capillary endothelium, and studies in Aqp1 knockout (Aqp1/) mice showed it mediates fast osmotic water transport and up to half the ultrafiltration (UF) during PD performed with hypertonic glucose dialysate [3, 10]. Modulation of AQP1 expression in the peritoneum, either by genetic factors or by pharmacological agents, drives significant changes in osmotic water transport and UF in mice and humans treated by PD [4, 11, 12]. Compared with the abundant evidence supporting the crucial role of AQP1 during PD, the potential role of AQP7 in the peritoneal membrane remains essentially unknown.

AQP7 is an aquaglyceroporin involved in the transport of water and glycerol [13, 14]. The AQP7 gene coding for AQP7 was cloned from rat testis and human adipose tissue. AQP7 is abundantly expressed in adipocytes (white and brown adipose tissue) and in microvascular endothelial cells [15, 16], and its expression is negatively regulated by insulin [17, 18]. During lipolysis, typically associated with fasting, AQP7 facilitates efflux of glycerol by passive diffusion [13]. The glycerol efflux from the adipocytes is regulated by the translocation of AQP7 from the lipid droplets to the plasma membrane upon hormonal stimulation [19]. The critical role of AQP7 in regulating glycerol efflux has been substantiated by studies in Aqp7/ mice and by recent structural data [17, 18, 20, 21].

In the peritoneal membrane, the adipocytes release mediators, adipokines and growth factors that mediate interactions with other cell types [22]. A progressive increase in visceral fat has been described in relation to PD [23], potentially associated with inflammation and adverse metabolic outcomes [22]. Due to its abundant expression and its function as a regulated glycerol pathway, AQP7 may play an important role in the structure and transport properties of the peritoneal membrane—particularly during fasting. In this study, we analyzed the specific distribution of AQP7 and used well-established mouse models to assess the influence of fasting on the structure and function of the peritoneal membrane and the roles of AQP1 and AQP7 in that context.

MATERIALS AND METHODS

Single-nucleus RNA-sequencing for AQP1 and AQP7

Publicly available datasets were used to investigate the expression of the genes coding for AQP7 and AQP1 in mouse and human tissues, including mouse (ENCODE) and human (Human Protein Atlas) bulk RNA-sequencing (RNA-seq) [24, 25]. The expression of AQP7 and AQP1 in the adipose tissue was validated in a human white adipose tissue single nucleus RNA-seq (snRNA-seq) dataset under the series number GSE176171 [26], and a mouse epididymal white adipose tissue snRNA-seq dataset under the series number GSE160729 [27] (Supplementary data, Table S1). For analysis of snRNA-seq datasets, the R library Seurat version 4.1.0 [28] was used to read and process Rds objects provided by the authors [26, 27]. The DimPlot function was used to generate the Uniform manifold approximation and projection (UMAP) plot showing clustering of the cells into distinct populations based on the expression of specific markers. The FeaturePlot function was used to overlap cell clustering with gene expression, while violin plots were generated using the VlnPlot function, all part of the Seurat package.

Experimental animals

The experiments were conducted using 10- to 12-week-old male Aqp1 (SV129 background) [29] and Aqp7 (C57BL/6J background) [14] knock-out mice and their littermate controls. Wild-type mice used for fasting time-course and PD were of C57BL/6J background. Mice were housed in an air-conditioned room with a 12/12-h dark/light cycle and acclimatized to the new environment for 1 week before the experiment. Mice were allowed free access to standard laboratory diet (Scientific animal food & engineering, Augy, France) and tap water. Fed mice were sacrificed to serve as control (time point 0); for fasted mice, food was removed 12, 24 or 36 h before sacrifice (each group, n = 9) [13]. Mice were allowed free access to tap water during the whole protocol. In a subgroup of mice, a single dose (25 mg/kg i.p.) of the glucocorticoid receptor antagonist RU-486 (Tocris Bioscience, Ellisville, MO, USA) was administrated 12 h before sacrifice [30]. The experiments were conducted in accordance with the National Research Council Guide for the Care and Use of Laboratory Animals and approved by the ethics committee of the UCLouvain Medical School (Brussels, Belgium).

Micro-computed tomography analysis

Micro-computed tomography (micro-CT) scans were performed on mice anesthetized with isoflurane/oxygen to monitor changes in body composition and fat mass. Scanning was performed with Skyscan 1278 (Bruker, Kontich, Belgium) at 50 μm voxel resolution using a source voltage of 65 kV and a current of 770 μA as described [31]. Raw images were then reconstructed with an isotropic voxel size of (51 × 51 × 51) μm³. All analyses were performed using SkyScan software (CT Analyser version 1.17.7.2).

Peritoneal transport studies, blood and tissue sampling

At each time point, a peritoneal equilibration test (PET) with 2.5 mL of 3.86% glucose dialysate was performed to assess peritoneal transport parameters, as previously described [32]. Briefly, mice were submitted to a 2-h peritoneal equilibration test after instillation of 2.5 mL of 3.86% glucose dialysate. At the end of the dwell, the dialysate was recovered from the peritoneal cavity and the net UF volume was calculated. Blood samples were collected from the inferior vena cava and immediately separated the plasma by centrifugation. Plasma was stored at −20°C until analysis. Triglycerides, glucose and sodium were assayed using Dri Chem NX500i (Fujifilm, Tokyo, Japan). Protein concentration was assayed using Pierce® BCA protein assay kit (Thermo scientific, Rockford, IL, USA). The visceral peritoneum was snap-frozen in liquid nitrogen and stored at −80°C, or routinely fixed in 4% paraformaldehyde in 0.1 M phosphate buffer (VWR, Brussels, Belgium).

Enzyme-linked immunosorbent assays

Enzyme-linked immunosorbent assay kits were used to measure insulin (Mercodia, Uppsala, Sweden) and corticosterone (Enzo, Lausen, Switzerland) levels in serum samples. Assays were run in duplicate according to the manufacturer's protocols.

Glycerol analysis

A colorimetric assay kit (#MAK117, Sigma-Aldrich) was used to quantify glycerol levels released from adipocytes in serum, and performed as per the manufacturer's instructions.

RT-PCR and quantitative real-time RT-PCR

Total RNA from mouse visceral peritoneum was extracted with Trizol (Invitrogen, Merelbeke, Belgium) and using AurumTM Total RNA fatty and fibrous tissue kit (Bio-Rad, Hercules, CA, USA) according to the manufacturer's protocol. DNase I treatment was performed to eliminate genomic DNA contamination. One microgram of RNA was used to perform the reverse transcriptase reaction with iScriptTM cDNA Synthesis Kit (Bio-Rad). Four reference genes (Gapdh, Actb, 36b4, Cyc) not influenced by fasting protocols were combined for the normalization. The primers are given in Supplementary data, Table S2. Changes in the mRNA levels of target genes were determined by semiquantitative reverse-transcriptase polymerase chain reaction (RT-PCR) with an iCycler IQ system (Bio-Rad) using SYBR Green I detection as described previously [32]. The PCR conditions were 95°C for 3 min followed by 40 cycles of 30 s at 95°C, 15 s at 60°C and 1 min at 72°C. The relative changes in target mRNA between vehicle and treated groups were determined by using the relation 2ΔΔCt.

Antibodies

The following antibodies were used in this study: rabbit anti-mouse AQP1 (Chemicon International, Temecula, CA, USA); rabbit anti-mouse AQP7 (Abcam, Cambridge, UK); rabbit IgG isotype controls (R&D systems, Wiesbaden-Nordenstadt, Germany); and mouse anti-mouse β-actin (Sigma, St Louis, MO, USA). The specificity of the antibodies was confirmed by western blot for AQP7 and AQP1 using wild-type and Aqp7/ and Aqp1−/ mouse samples (Supplementary data, Fig. S1).

Western blotting

Immunoblotting was performed as described [3]. Proteins were extracted from visceral peritoneum, lysed in lysis buffer containing protease inhibitors (Complete Mini, Roche Diagnostics, Belgium) and followed by sonication and centrifugation at 10 000 r.p.m. for 10 min at 4°C. Proteins were diluted in Laemmli buffer and separated by SDS-PAGE as described [33]. Densitometry analysis was performed by scanning the blots and measuring the relative density of each band normalized to β-actin using the ImageJ software.

Tissue staining and immunohistochemistry

Samples from the peritoneum were fixed in 4% paraformaldehyde, embedded in paraffin and cut into 6 μm sections. Hematoxylin and eosin staining and immunostaining were performed as described [3, 32]. Sections were scanned by SCN4000 scanner (Leica, Heerbrugg, Switzerland) and visualized by digital image hub (Leica). The areas of adipocytes in the visceral peritoneum (Hematoxylin and eosin staining) were calculated (π·radius²) in at least 50 cells per section, using ImageJ software. For immunofluorescence, sections of visceral peritoneum were dewaxed, rehydrated in serial ethanol dilutions and blocked with appropriate serum. The sections were then incubated for 1 h with primary antibody, washed six times in phosphate-buffered saline, incubated for 1 h with the secondary (Alexa labelled) antibody, mounted in Prolong Gold anti-fade reagent (Invitrogen) and analyzed under a Zeiss LSM 510 Meta Confocal microscope (Carl Zeiss, Jena, Germany).

Data analysis

Results are expressed as mean ± SD. Differences between groups were assessed by unpaired t-test, one-way analysis of variance (ANOVA) followed by Bonferroni's multiple comparisons test, two-way ANOVA (to assess genotype effect in fed and fasted states) and the Kolmogorov–Smirnov two-sample test (to compare distributions of the size of adipocytes in the different conditions), using GraphPad Software (San Diego, CA, USA). A P-value <.05 was considered statistically significant.

RESULTS

Distribution of AQP7 and AQP1 in human and mouse visceral adipose tissue

Both AQP1 and AQP7 mRNAs are highly expressed in human and mouse adipose tissue (Supplementary data, Fig. S2). Since traditional single cell expression studies on adipocytes are delicate due to the large size and fragility of these cells, snRNA-seq, which can capture adipocytes, has been used to investigate murine epididymal and human brown adipose tissue [26]. Analysis of snRNA-seq atlas of human visceral white adipose tissue revealed 17 cell populations including adipocytes, adipose cell progenitors, endothelial cells, mesothelial cells and several clusters of immune cells (Fig. 1A). AQP7 was mostly detected in the mature adipocyte cluster, characterized in humans by the expression of ADIPOQ and in mouse by the expression of Lipe, Plin4 and Pparg, whereas AQP1 was strongly expressed in the cluster of microvascular endothelial cells, identified in human by the expression of JAM2 and in mouse by expression of Esam, Flt1 and Vwf (Fig. 1B and C; Supplementary data, Table S3).

Figure 1:

Figure 1:

Differential expression of AQP7 and AQP1 mRNAs in white adipose tissue. (A–C) Human visceral white adipose tissue. (A) UMAP plot of human white adipose tissue showing 16 distinct cell populations. Feature (B) and violin (C) plots showing expression levels of AQP7 and AQP1 in the different cell clusters. Source: https://drive.google.com/drive/folders/1rZ6Cnivacb9ispdndNngB9VgZsnYmVop, accessed on 9 February 2022. (D–F) Mouse epididymal white adipose tissue. (D) UMAP plot of mouse epididymal adipose tissue cells showing seven distinct cell populations. Feature (E) and violin (F) plots showing expression levels of Aqp7 and Aqp1 in the different cell clusters. Source: https://osf.io/tsjqc/, accessed on 9 February 2022.

Similarly, analysis of snRNA-seq of mouse epididymal adipose tissue showed seven different cell clusters, including mature adipocytes, fibro-adipogenic progenitors, mesothelial cells, endothelial cells and immune cells (Fig. 1D). Cells expressing Aqp7 were mostly adipocytes, followed by fibro-adipogenic progenitors and endothelial cells, whereas cells expressing Aqp1 were essentially identified as endothelial cells (Fig. 1E and F).

The expression of AQP7 and AQP1 in mouse and human peritoneum was confirmed by immunofluorescence, with AQP7 being mostly detected in the plasma membrane of the adipocytes, whereas AQP1 was essentially detected in the microvascular endothelium of the peritoneal membrane (Fig. 2).

Figure 2:

Figure 2:

Cellular localization of AQP7 and AQP1 in the visceral peritoneum. Representative immunostaining for AQP7 (green channel) in the plasma membrane of adipocytes during fasting and for AQP1 (red channel) in the microvascular endothelial cells in mouse and human visceral peritoneum. Aqp7/ and Aqp1/ mice were used as negative controls. Original magnification, ×20; scale bar 20 μm.

Effect of fasting on biological parameters and expression of adipose-specific genes in mouse

We first assessed the effect of progressive fasting (12 h to 36 h) on body weight and metabolic parameters in mouse (Fig. 3; Table 1). As expected, fasting induced a progressive loss of body weight (Fig. 3A), a time-dependent decrease in plasma glucose levels (Fig. 3B), an increase in plasma glycerol (Fig. 3C) and corticosterone (Fig. 3D) levels, and a dramatic fall in plasma insulin (Fig. 3E) and triglycerides (Fig. 3F) levels. These homeostatic changes (Table 1) were expected from lipolysis processes induced by fasting (Fig. 3G).

Figure 3:

Figure 3:

Effect of fasting on body weight and metabolic parameters of mouse. Compared with fed state, fasting (12 h to 36 h) induces a progressive loss of body weight (A), a decrease in plasma glucose levels (B), an increase in plasma glycerol (C) and corticosterone (D) levels, and a fall in plasma insulin (E) and triglycerides (F) levels. These changes are in line with the lipolysis processes occurring in adipocytes (G). During lipolysis, the triglycerides stored are hydrolyzed to produce free fatty acids and glycerol. Catecholamines are secreted in response to a low concentration of glucose in the blood. They activate the synthesis and activation of HSL, which hydrolyzes triglycerides. The fatty acids produced are secreted to the bloodstream. Created with BioRender.com. (n = 9 mice per group). The differences between groups were assessed by ANOVA followed by Bonferroni's multiple comparisons tests. The significance level is indicated as: ***P < .001 fasted versus fed groups.

Table 1:

Effect of fasting on body composition, adipose tissue parameters, and metabolic parameters.

Fasting
Fed 12 h 24 h 36 h
BW (g) 25.1 ± 0.9 23.2 ± 1.2 22.3 ± 1.3 21.6 ± 0.9
BW loss (g) 1.6 ± 0.3*** 2.2 ± 0.3*** 4.3 ± 0.2***
BW loss (%) 6.1% 8.8% 16.4%
Glucose (mg/dL) 215 ± 18 150 ± 10*** 111 ± 15*** 75 ± 9***
Glycerol (nM) 159 ± 13 204 ± 23*** 245 ± 13*** 277 ± 9***
Corticosterone (ng/mL) 92 ± 22 365 ± 63*** 492 ± 101*** 752 ± 81***
Insulin (ng/mL) 0.77 ± 0.12 0.36 ± 0.10*** 0.29 ± 0.11*** 0.28 ± 0.05***
Triglycerides (mg/dL) 243 ± 30 203 ± 9*** 76 ± 19*** 57 ± 13***
BUN (mg/dL) 30.3 ± 3.0 32.5 ± 3.2 33.9 ± 4.1 34.0 ± 5.4
Adipose tissue parameters
 Whole body fat (g) 2.95 ± 0.32 2.34 ± 0.16* 2.01 ± 0.32** 1.53 ± 0.35***
 Visceral fat area (cm2) 0.41 ± 0.06 0.26 ± 0.03** 0.15 ± 0.07*** 0.06 ± 0.01***
 Adipocyte size (μm2) 1130 ± 471 897 ± 466** 731 ± 330*** 518 ± 231***

Results are mean ± SD values; n = 9 mice per group.

The differences between groups were assessed by ANOVA followed by Bonferroni's multiple comparisons tests. The significance level is indicated as: *P < .05; **P < .01; ***P < .001 versus fed state.

BW, body weight; BUN, blood urea nitrogen.

Changes in body composition were analyzed using micro-CT (Fig. 4): fasting induced a significant decrease in whole body fat mass (Fig. 4A) and visceral fat area (Fig. 4B), which was already significant after 12 h. The decrease in adipose tissue was reflected by structural modifications in the visceral peritoneum, with a major, time-dependent decrease in the diameter of the adipocytes (Fig. 4C). Conversely, fasting did not induce significant changes in inflammation or in the submesothelial thickness of the membrane (Supplementary data, Fig. S3).

Figure 4:

Figure 4:

Effect of fasting on adipose tissue, morphology of adipocytes, and expression of adipose-specific genes in the peritoneum. (A, B) Changes in body composition analyzed using a micro-CT scan: the fasting-induced decrease in body weight is reflected by a decrease in whole body fat mass (A) and visceral fat area (B). Hematoxylin and eosin staining (C) indicates that fasting induces a progressive decrease in the size of adipocytes in the visceral peritoneum. Scale bar: 50 μm. Magnification, ×40. Quantitative RT-PCR (D) shows increased mRNA expression of HSL and decreased FAS and leptin in the visceral peritoneum from fasted compared with fed mice (n = 4 mice per group). The differences between groups were assessed by ANOVA followed by Bonferroni's multiple comparisons tests. The significance level is indicated as: *P < .05, **P < .01, ***P < .001 fasted versus fed groups.

The fasting-induced changes in the morphology of adipose tissue were reflected by the expression of key regulators of lipid metabolism within the visceral peritoneum, including upregulation of the hormone-sensitive lipase (HSL), regulating lipolysis, and significant decreases of the lipogenic factor fatty acid synthase (FAS) and of leptin, a major regulator of food intake (Fig. 4D). Together, these data demonstrate a coordinated regulation of lipolytic and lipogenic factors with changes in adipocyte morphology, suggesting that the visceral peritoneum plays a metabolic role during fasting.

Effect of fasting on the expression of aquaporins in the peritoneum

Considering the potential metabolic role of AQP7, we next analyzed the effect of fasting on AQP7 expression in the peritoneal membrane (Fig. 5). Fasting induced a progressive and significant increase in the expression of AQP7 and AQP1 mRNAs in the visceral peritoneum, reaching 146% and 155% of the fed levels at 36 h, respectively (Fig. 5A). A 3- to 4-fold upregulation of the aquaporins in 36 h-fasted versus fed mice was confirmed at the protein level (Fig. 5B), with increased expression of AQP7 in adipocytes and AQP1 in microvascular endothelium of the peritoneal membrane (Fig. 5C). The specific changes in the expression of AQP1 or AQP7 observed during fasting in wild-type mice were also observed in Aqp7−/− (for AQP1) or Aqp1/ (for AQP7) mice, respectively (Supplementary data, Fig. S4). No changes in the expression of Aqp3 or Aqp9 in the peritoneum were observed after fasting in wild-type, Aqp1/ and Aqp7−/− mice (Supplementary data, Fig. 5).

Figure 5:

Figure 5:

Effect of fasting on the expression of AQP1 and AQP7 in the peritoneum. (A) Quantitative RT-PCR: The expression of Aqp1 and Aqp7 in the visceral peritoneum is upregulated by fasting, compared with fed controls (n = 5 mice per group). (B) Representative immunoblots and densitometry analyses showing that fasting upregulates AQP1 and AQP7 in the visceral peritoneum. There were 20 μg of proteins in each lane. Differences between groups were assessed by ANOVA followed by Bonferroni's multiple comparisons tests. The significance level is indicated as: **P < .01, ***P < .001 fasted versus fed groups. (C) Immunostaining for AQP1 (top panels): fasted mice show an increased density of AQP1-positive capillaries in the visceral peritoneum. Immunostaining for AQP7 (bottom panels): fasted mice show an increased density of AQP7-positive adipocytes in the visceral peritoneum. Scale bars: left, 50 μm, ×40; right, 10 μm, ×80.

Differential role of aquaporins in structural changes induced by fasting

To investigate whether AQP1 and AQP7 play a role in the structural changes observed in the visceral peritoneum, we used fasting protocols in Aqp1/ and Aqp7/ knock-out mice and their wild-type littermates (Fig. 6). Fasting induced a consistent decrease in the size of adipocytes in the four genotypes (Fig. 6A and B). The deletion of AQP1 had no impact on the size of adipocytes in Aqp1/ mice, with only the fasting state having a significant contribution. Conversely, the deletion of AQP7 was reflected by a significant increase in the adipocyte size in Aqp7/ compared with Aqp7+/+ mice—with both the genotype and fasting state having significant effects (Fig. 6B). Analysis of the adipocyte size distribution (Fig. 6C) revealed that, in both fed and fasted conditions, adipocytes of larger size were more frequent in Aqp7/ compared with Aqp7+/+ mice. While fasting induced a significant shift towards smaller adipocytes in all the groups, the genotype effect was only significant for Aqp7 (larger adipocytes in the Aqp7/ vs Aqp7+/+ mice) (Fig. 6C). These results indicate a specific role of AQP7 in the plasticity of adipocyte size in the peritoneal membrane.

Figure 6:

Figure 6:

Effects of fasting and aquaporin genotype on the morphology of adipocytes in the visceral peritoneum. (A) Hematoxylin and eosin staining of the visceral peritoneum in fed and 36 h-fasted Aqp1 and Aqp7 mice. (B) Quantification of adipocyte size in the visceral peritoneum. Compared with fed animals, 36 h-fasting induces a significant decrease in the size of adipocytes in both genotypes. The visceral peritoneum of Aqp7/ mice shows bigger adipocytes than that of the Aqp7+/+ controls—both in fed and fasted state. (C) Distribution of adipocyte size in the visceral peritoneum in 36 h-fasted Aqp1/ and Aqp7/ mice and their wild-type controls. The analysis of the distributions shows significant differences between genotypes in both fed and fast state (P < .001) in Aqp7 mice. Values are expressed in (%) as frequency occurrences. Scale bar: 50 μm. Magnification, ×40. Significant differences due to genotype, fasting or their interactions, were determined by two-way ANOVA (B), whereas differences in distribution were analyzed by Kolmogorov–Smirnov (KS) test (C). The significance level is indicated as: *P < .05, ***P < .001.

Effect of fasting on peritoneal transport parameters

Since fasting upregulated the expression of both AQP1 and AQP7 and caused a significant decrease in the size of adipocytes in the peritoneum, we examined whether it could affect peritoneal transport characteristics. The use of a standard PET with 2.5 mL of 3.86% glucose in the established mouse (wild-type) model of PD revealed that fasting induced a significant increase in the net UF, while the small solute transport remains unchanged (Table 2). Studies in Aqp1 and Aqp7 mice indicated that the fasting-induced increases in UF and sodium sieving were not observed in Aqp1−/− mice, whereas they were preserved in Aqp7−/− mice (Table 3). In Aqp1 mice, significant effects of the genotype, fasting state and their interaction on the UF parameters were observed. In Aqp7 mice, only the fasting state showed a significant effect on UF, while both the genotype and fasting variables showed significant effects on net UF/BW and body weight (Supplementary data, Table S4).

Table 2:

Effect of fasting on peritoneal transport parameters.

Groups BW (g) Net UF/BW (μL/g) Net UF (μL) D120/D0 Glucose ΔDNa (0–30 min) (mmol/L)
C57BL/6J Fed 25.1 ± 0.9 40.8 ± 4.2 1021 ± 79.9 0.46 ± 0.03 7.2 ± 0.8
36h-Fasted 21.6 ± 0.9*** 56.0 ± 3.1*** 1207 ± 74.0*** 0.44 ± 0.03 8.8 ± 1.1**

Results are mean ± SD values; n = 9 mice per group.

Comparisons between the groups were performed using unpaired t-test. The significance level is indicated as: **P < .01; ***P < .001 versus fed state.

BW, body weight; D120/D0 Glucose, dialysate glucose concentration at 120 min compared with baseline; ΔDNa (0–30 min), dip of sodium concentration in dialysate at 30 min compared with baseline.

Table 3:

Effect of fasting on peritoneal transport parameters in AQP1 and AQP7 mice.

Groups BW (g) Net UF/BW (μL/g) Net UF (μL) D/D0 Glucose ΔNa 0–30 min
Aqp1+/+ Fed 26.7 ± 1.8 40.1 ± 6.0 1046 ± 72.0 0.45 ± 0.04 7.5 ± 0.8
36 h-Fasted 23.3 ± 2.9 54.3 ± 2.4§§§ 1194 ± 75.0§ 0.46 ± 0.04 8.6 ± 0.7
Aqp1/ Fed 23.6 ± 2.9 21.7 ± 3.4***c 508.1 ± 89.1***c 0.48 ± 0.02 2.3 ± 0.8***c
36 h-Fasted 18.4 ± 1.9**§§§b 25.1 ± 4.5***b 465.3 ± 112.8***b 0.47 ± 0.04 1.3 ± 0.8***§b
Aqp7+/+ Fed 21.3 ± 2.0 46.9 ± 2.7 999.0 ± 92.2 0.48 ± 0.05 6.8 ± 0.7
36 h-Fasted 18.1 ± 1.1§§ 63.8 ± 4.7§§§ 1155 ± 74.9§§ 0.44 ± 0.03 8.3 ± 1.0§§
Aqp7/ Fed 23.9 ± 2.3*c 41.4 ± 4.2c 985 ± 89.8c 0.44 ± 0.08 6.3 ± 0.7c
36 h-Fasted 20.7 ± 2.1*§§ 54.3 ± 7.7**§§§a 1110 ± 85.7§a 0.47 ± 0.02 7.8 ± 1.0§§

Results are mean ± SD values; n = 8 mice per group.

Significant differences were determined by two-way ANOVA. The significance level is indicated as:

Genotype effect: *P < .05 versus WT; **P < .01 versus WT; ***P < .001 versus WT.

Fasting effect: §P < .05 versus fed; §§P < .01 versus fed; §§§P < .001 versus fed.

Interaction effect: aP < .05 versus WT fed; bP < .001 versus WT-fed; cP < .001 versus WT-fasted.

BW, body weight; UF, ultrafiltration; D120/D0 Glucose, dialysate glucose concentration at 120 min compared with baseline; ΔDNa (0–30 min), dip of sodium concentration in dialysate at 30 min compared with baseline; WT, wild type.

Effect of RU-486 on AQP7 and AQP1 expression during fasting

Finally, to investigate the mechanism driving the fasting-induced overexpression of aquaporins, we treated mice with the glucocorticoid antagonist RU-486. Indeed, fasting was associated with induction of corticosterone (Fig. 3D), which in turn can modulate the expression of AQP1 via a glucocorticoid response element (GRE) [11]. In silico analysis revealed that GREs are present in both promoter regions of the human and mouse genes coding for AQP1 and AQP7 (Fig. 7A). Treatment with RU-486 significantly blunted the fasting-induced upregulation of AQP7 and AQP1 (Fig. 7B), and this was reflected by a significant effect on the net UF in the mouse model of PD (Fig. 7B). These data point to the essential role of corticosterone in mediating the increase in AQP1 expression and the effect on UF in fasting conditions.

Figure 7:

Figure 7:

Effect of RU-486 on AQPs expression and ultrafiltration. (A) GREs in the promoter regions of genes coding for AQP1 and AQP7 in man and mouse. (B) Representative immunoblots and densitometry analyses for AQP7 and AQP1 in the visceral peritoneum from control mice, 36 h-fasted mice and 36 h-fasted mice treated by RU-486. Administration of RU-486 prevents the induction of AQP1 by fasting. There were 20 μg of proteins in each lane. (C) Treatment with RU-486 reduces significantly the ultrafiltration of 36 h-fasted mice (n = 8 mice per group). The differences between groups were analyzed by ANOVA followed by Bonferroni's multiple comparisons tests. The significance level is indicated as *P < .05, **P < .01.

DISCUSSION

Here, we combined molecular and functional analyses to assess the role and regulation of AQP7 in the peritoneal membrane, in comparison with that of AQP1. Since AQP7 is potentially involved in metabolism and transport of glycerol/water, we compared baseline and fasting situations in established mouse models. Our data reveal that fasting, reflected by the expected changes in metabolic parameters, body composition and adipocyte size, upregulates the expression of both AQP7 and AQP1 in the peritoneal membrane. These changes are paralleled by a significant increase in water transport and UF whereas the small solute transport remains unchanged. Using Aqp1 and Aqp7-null mice and pharmacologic inhibitors, we showed that the fasting-induced increase in UF is mediated by the glucocorticoid induction of AQP1 but is unrelated to AQP7. In contrast, AQP7 is instrumental for the variations in adipocyte size in the peritoneum, in both fed and fasted conditions. These results yield novel information on the specific roles of aquaporins and suggest that fasting improves fluid removal in a mouse model of PD.

AQP1 is the most abundant water channel in the peritoneal membrane, located in the capillary endothelium where it forms an ultrasmall pore facilitating water transport and UF during a hypertonic dwell [3, 34]. Common genetic variants increasing AQP1 expression are associated with increased water transport and net UF during PD [4]. The expression of AQP1 in the rat peritoneum is increased by administration of corticosteroids [11], mediated by GREs in the promotor region of Aqp1 [11, 35].

Our data reveal that fasting induces a significant induction of AQP1 in the visceral peritoneum, reflected by an increase in water transport, in line with the induction of AQP1 in capillaries of the white adipose tissue by starvation in AQP7 knockout mice [36]. Fasting causes a strong increase in corticosterone, a classic metabolic response to increase fuel availability [37]. The effect of RU-486 indicates that the induction of AQP1 by fasting is mediated by endogenous steroids, confirming the relevance of GREs in regulating the expression of water channels. The induction of AQP1 and water transport by fasting in this mouse model may offer clinical perspectives, as poor fluid removal is linked to cardiovascular events, systemic inflammation, technical failure and death in PD [4]. However, this perspective should be balanced by the widely different body size and metabolic rate, and the disproportionately greater consequences of fasting in mice compared with humans, notably for the magnitude of reduction in body fat [38]. Furthermore, it would only be possible to reduce food intake moderately in patients treated with PD, but certainly not to impose a severe fasting.

Next to AQP1, AQP7 is the most abundant AQP isoform expressed in the mouse peritoneal membrane [3]. Using snRNA-seq, we show that AQP7 is essentially enriched in mature adipocytes, whereas AQP1 is mostly detected in microvascular endothelial cells. These compartments play distinct roles in peritoneal physiology, with microvascular endothelial cells being the site of facilitated osmotic water transport whereas adipocytes participate in the adaptation to fasting by releasing free fatty acids and glycerol into the circulation [3, 39]. AQP7 facilitates glycerol transport in various cell types including adipocytes, a key process to regulate energy metabolism and cellular volume [20]. Several factors could account for the induction of AQP7 by fasting. First, the significant decrease of AQP7 expression after RU-486 suggests a role for steroids, potentially related to a predicted GRE [40]. Second, decreased insulin levels during fasting, in order to prevent hypoglycaemia [41], may trigger the expression of AQP7 via a negative insulin response element (IRE) [20]. Third, fasting may cause robust transcriptomic changes, paralleled by changes of methylation patterns in the adipose tissue [42–44]. Recent data from epigenome-wide association studies suggest that methylation of AQP7 promoter is associated with adiposity and fat accumulation [45, 46]. Finally, catecholamines, activated during fasting to prevent the fall in glucose, stimulate lipolysis and allow the translocation of AQP7 from the lipid droplets to the plasma membrane for efficient efflux of glycerol [47].

The adipose tissue is the major energy storage organ where lipogenesis and lipolysis occur in response to energy requirements. In fasting condition, the increased sympathetic tone, via increased intracellular cAMP levels, phosphorylates the HSL, hydrolyzing TG to free fatty acid (FFA) and glycerol, a major substrate for gluconeogenesis in the liver [48]. The fasting protocol used here induced a remarkable decrease in visceral fat accumulation and a strong reduction in the size of adipocytes in the peritoneal membrane. Notably, this effect was not affected by the deletion of AQP1 (Aqp1/ mice), whereas it was strongly reduced (i.e. larger residual adipocytes) in Aqp7/ mice compared with their respective controls. In line with this, significantly larger adipocytes were observed in the peritoneum of Aqp7/ mice, reflected by a higher body weight in the fed and fasted Aqp7/ compared with Aqp7+/+ mice. These results substantiate the involvement of AQP7 in regulation of lipid accumulation and adipose tissue, as suggested in mouse and human [13, 39, 46]. Identification of factors able to modulate the expression of AQP7 and thus impact on body composition may thus have a beneficial effect in patients who experience increased weight, body mass index and visceral abdominal fat during PD [23, 49].

In conclusion, these data indicate that a coordinated regulation of lipolytic and lipogenic factors operates in the visceral peritoneum during fasting, with upregulation of AQP7 and AQP1 in specific compartments, reflected by structural and functional alterations of the peritoneal membrane. With the limitations of inter-species differences, the fact that fasting increases AQP1-mediated water transport across the peritoneal membrane and induces a metabolic and lipolytic response via AQP7 may have a clinical relevance for patients treated by peritoneal dialysis.

Supplementary Material

gfac318_Supplemental_File

ACKNOWLEDGEMENTS

We wish to thank Y. Cnops, S. Druart, J. Morelle and S. Nielsen for help and fruitful discussions. We also thank M. Nachit and G. Vande Velde for their support with the experiments at MoSAIC Facility (Department of Imaging and Pathology, KU Leuven).

Contributor Information

Ines P D Costa, Division of Nephrology, IREC, UCLouvain, Brussels, Belgium.

Nicolas Hautem, Division of Nephrology, IREC, UCLouvain, Brussels, Belgium.

Gugliemo Schiano, Mechanisms of Inherited Kidney Disorders Group, Institute of Physiology, University of Zurich, Zurich, Switzerland.

Shinichi Uchida, Department of Nephrology, Tokyo Medical and Dental University, Tokyo, Japan.

Tomoya Nishino, Division of Nephrology, IREC, UCLouvain, Brussels, Belgium; Department of Nephrology, Nagasaki University Hospital, Nagasaki, Japan.

Olivier Devuyst, Division of Nephrology, IREC, UCLouvain, Brussels, Belgium; Mechanisms of Inherited Kidney Disorders Group, Institute of Physiology, University of Zurich, Zurich, Switzerland; Division of Nephrology, Cliniques Universitaires Saint-Luc, Brussels, Belgium.

CONFLICT OF INTEREST STATEMENT

The authors declare no competing interests.

AUTHORS’ CONTRIBUTIONS

T.N. and O.D. conceptualized the overall study and supervised the work. I.P.D.C., N.H., S.U., T.N. and O.D. planned the overall experimental design. I.P.D.C. and N.H. performed the in vivo and molecular studies, analysed and interpreted the data. G.S. performed the analysis of single-nucleus RNA-sequencing for AQP1 and AQP7. All co-authors revised the draft manuscript and approved the submitted version.

FUNDING

This project has received funding from the European Union's Horizon 2020 research and innovation program under the Marie Skłodowska-Curie Actions, grant agreement No. 812699.

DATA AVAILABILITY STATEMENT

The data underlying this research will be shared upon reasonable request to the corresponding author.

REFERENCES

  • 1. Mehrotra R, Devuyst O, Davies SJet al. The current state of peritoneal dialysis. J Am Soc Nephrol 2016;27:3238–52. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Rippe B, Stelin G, Haraldsson B.. Computer simulations of peritoneal fluid transport in CAPD. Kidney Int 1991;40:315–25. [DOI] [PubMed] [Google Scholar]
  • 3. Ni J, Verbavatz JM, Rippe Aet al. Aquaporin-1 plays an essential role in water permeability and ultrafiltration during peritoneal dialysis. Kidney Int 2006;69:1518–25. [DOI] [PubMed] [Google Scholar]
  • 4. Morelle J, Marechal C, Yu Zet al. AQP1 Promoter variant, water transport, and outcomes in peritoneal dialysis. N Engl J Med 2021;385:1570–80. [DOI] [PubMed] [Google Scholar]
  • 5. Preston GM, Carroll TP, Guggino WBet al. Appearance of water channels in Xenopus oocytes expressing red cell CHIP28 protein. Science 1992;256:385–7. [DOI] [PubMed] [Google Scholar]
  • 6. Michalek K. Aquaglyceroporins in the kidney: present state of knowledge and prospects. J Physiol Pharmacol 2016;67:185–93. [PubMed] [Google Scholar]
  • 7. Su W, Cao R, Zhang XYet al. Aquaporins in the kidney: physiology and pathophysiology. Am J Physiol Renal Physiol 2020;318:F193–203. [DOI] [PubMed] [Google Scholar]
  • 8. Salman MM, Kitchen P, Yool AJet al. Recent breakthroughs and future directions in drugging aquaporins. Trends Pharmacol Sci 2022;43:30–42. [DOI] [PubMed] [Google Scholar]
  • 9. Rojek A, Praetorius J, Frøkiaer Jet al. A current view of the mammalian aquaglyceroporins. Annu Rev Physiol 2008;70:301–27. [DOI] [PubMed] [Google Scholar]
  • 10. Morelle J, Sow A, Vertommen Det al. Quantification of osmotic water transport in vivo using fluorescent albumin. Am J Physiol Renal Physiol 2014;307:F981–9. [DOI] [PubMed] [Google Scholar]
  • 11. Stoenoiu MS, Ni J, Verkaeren Cet al. Corticosteroids induce expression of aquaporin-1 and increase transcellular water transport in rat peritoneum. J Am Soc Nephrol 2003;14:555–65. [DOI] [PubMed] [Google Scholar]
  • 12. de Arteaga J, Ledesma F, Garay Get al. High-dose steroid treatment increases free water transport in peritoneal dialysis patients. Nephrol Dial Transplant 2011;26:4142–5. [DOI] [PubMed] [Google Scholar]
  • 13. Maeda N, Funahashi T, Hibuse Tet al. Adaptation to fasting by glycerol transport through aquaporin 7 in adipose tissue. Proc Natl Acad Sci USA 2004;101:17801–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Sohara E, Rai T, Miyazaki Jet al. Defective water and glycerol transport in the proximal tubules of AQP7 knockout mice [published correction appears in Am J Physiol Renal Physiol. 2006 Sep;291(3):F705]. Am J Physiol Renal Physiol 2005;289:F1195–200. [DOI] [PubMed] [Google Scholar]
  • 15. Ishibashi K, Kuwahara M, Gu Yet al. Cloning and functional expression of a new water channel abundantly expressed in the testis permeable to water, glycerol, and urea. J Biol Chem 1997;272:20782–6. [DOI] [PubMed] [Google Scholar]
  • 16. Kuriyama H, Kawamoto S, Ishida Net al. Molecular cloning and expression of a novel human aquaporin from adipose tissue with glycerol permeability. Biochem Biophys Res Commun 1997;241:53–8. [DOI] [PubMed] [Google Scholar]
  • 17. Kishida K, Shimomura I, Kondo Het al. Genomic structure and insulin-mediated repression of the aquaporin adipose (AQPap), adipose-specific glycerol channel. J Biol Chem 2001;276:36251–60. [DOI] [PubMed] [Google Scholar]
  • 18. Kondo H, Shimomura I, Kishida Ket al. Human aquaporin adipose (AQPap) gene. Genomic structure, promoter analysis and functional mutation. Eur J Biochem 2002;269:1814–26. [DOI] [PubMed] [Google Scholar]
  • 19. Rodríguez A, Catalán V, Gómez-Ambrosi Jet al. Insulin- and leptin-mediated control of aquaglyceroporins in human adipocytes and hepatocytes is mediated via the PI3K/Akt/mTOR signaling cascade. J Clin Endocrinol Metab 2011;96:E586–97. [DOI] [PubMed] [Google Scholar]
  • 20. Madeira A, Moura TF, Soveral G.. Aquaglyceroporins: implications in adipose biology and obesity. Cell Mol Life Sci 2015;72:759–71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. de Maré SW, Venskutonytė R, Eltschkner Set al. Structural basis for glycerol efflux and selectivity of Human aquaporin 7. Structure 2020;28:215–22.e3. [DOI] [PubMed] [Google Scholar]
  • 22. Lai KN, Leung JC.. Peritoneal adipocytes and their role in inflammation during peritoneal dialysis. Mediators Inflamm 2010;2010:495416. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23. Fernström A, Hylander B, Moritz Aet al. Increase of intra-abdominal fat in patients treated with continuous ambulatory peritoneal dialysis. Perit Dial Int 1998;18:166–71. [PubMed] [Google Scholar]
  • 24. Yue F, Cheng Y, Breschi Aet al. A comparative encyclopedia of DNA elements in the mouse genome. Nature 2014;515:355–64. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Uhlén M, Fagerberg L, Hallström BMet al. Proteomics. Tissue-based map of the human proteome. Science 2015;347:1260419. [DOI] [PubMed] [Google Scholar]
  • 26. Emont MP, Jacobs C, Essene ALet al. A single-cell atlas of human and mouse white adipose tissue. Nature 2022;603:926–33. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Sárvári AK, Van Hauwaert EL, Markussen LKet al. Plasticity of epididymal adipose tissue in response to diet-Induced obesity at single-nucleus resolution. Cell Metab 2021;33:437–453.e5. [DOI] [PubMed] [Google Scholar]
  • 28. Hao Y, Hao S, Andersen-Nissen Eet al. Integrated analysis of multimodal single-cell data. Cell 2021;184:3573–87.e29. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Ma T, Yang B, Gillespie Aet al. Severely impaired urinary concentrating ability in transgenic mice lacking aquaporin-1 water channels. J Biol Chem 1998;273:4296–9. [DOI] [PubMed] [Google Scholar]
  • 30. Sze CI, Lin YC, Lin YJet al. The role of glucocorticoid receptors in dexamethasone-induced apoptosis of neuroprogenitor cells in the hippocampus of rat pups. Mediators Inflamm 2013;2013:628094. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31. Nachit M, De Rudder M, Thissen JPet al. Myosteatosis rather than sarcopenia associates with non-alcoholic steatohepatitis in non-alcoholic fatty liver disease preclinical models. J Cachexia Sarcopenia Muscle 2021;12:144–58. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Ni J, Cnops Y, Debaix Het al. Functional and molecular characterization of a peritoneal dialysis model in the C57BL/6J mouse. Kidney Int 2005;67:2021–31. [DOI] [PubMed] [Google Scholar]
  • 33. Combet S, Miyata T, Moulin Pet al. Vascular proliferation and enhanced expression of endothelial nitric oxide synthase in human peritoneum exposed to long-term peritoneal dialysis. J Am Soc Nephrol 2000;11:717–28. [DOI] [PubMed] [Google Scholar]
  • 34. Devuyst O, Rippe B.. Water transport across the peritoneal membrane. Kidney Int 2014;85:750–8. [DOI] [PubMed] [Google Scholar]
  • 35. Moon C, King LS, Agre P.. Aqp1 expression in erythroleukemia cells: genetic regulation of glucocorticoid and chemical induction. Am J Physiol 1997;273:C1562–70. [DOI] [PubMed] [Google Scholar]
  • 36. Skowronski MT, Skowronska A, Rojek Aet al. Prolonged starvation causes up-regulation of AQP1 in adipose tissue capillaries of AQP7 knock-out mice. Int J Mol Sci 2016;17:1101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Neumann UH, Denroche HC, Mojibian Met al. Insulin knockout mice have extended survival but volatile blood glucose levels on leptin therapy. Endocrinology 2016;157:1007–12. [DOI] [PubMed] [Google Scholar]
  • 38. Terpstra AH. Differences between humans and mice in efficacy of the body fat lowering effect of conjugated linoleic acid: role of metabolic rate. J Nutr 2001;131:2067–8. [DOI] [PubMed] [Google Scholar]
  • 39. Lebeck J. Metabolic impact of the glycerol channels AQP7 and AQP9 in adipose tissue and liver. J Mol Endocrinol 2014;52:R165–78. [DOI] [PubMed] [Google Scholar]
  • 40. Cartharius K, Frech K, Grote Ket al. MatInspector and beyond: promoter analysis based on transcription factor binding sites. Bioinformatics 2005;21:2933–42. [DOI] [PubMed] [Google Scholar]
  • 41. Boyle PJ, Shah SD, Cryer PE.. Insulin, glucagon, and catecholamines in prevention of hypoglycemia during fasting. Am J Physiol 1989;256:E651–61. [DOI] [PubMed] [Google Scholar]
  • 42. Hahn O, Grönke S, Stubbs TMet al. Dietary restriction protects from age-associated DNA methylation and induces epigenetic reprogramming of lipid metabolism. Genome Biol 2017;18:56. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Ng GY, Kang SW, Kim Jet al. Genome-wide transcriptome analysis reveals intermittent fasting-induced metabolic rewiring in the liver. Dose Response 2019;17:1559325819876780. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Hjort L, Jørgensen SW, Gillberg Let al. 36 h fasting of young men influences adipose tissue DNA methylation of LEP and ADIPOQ in a birth weight-dependent manner. Clin Epigenetics 2017;9:40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Agha G, Houseman EA, Kelsey KTet al. Adiposity is associated with DNA methylation profile in adipose tissue. Int J Epidemiol 2015;44:1277–87. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Kerr AG, Sinha I, Dadvar Set al. Epigenetic regulation of diabetogenic adipose morphology. Mol Metab 2019;25:159–67. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Hansen JS, Krintel C, Hernebring Met al. Perilipin 1 binds to aquaporin 7 in human adipocytes and controls its mobility via protein kinase A mediated phosphorylation. Metabolism 2016;65:1731–42. [DOI] [PubMed] [Google Scholar]
  • 48. Nielsen TS, Jessen N, Jørgensen JOet al. Dissecting adipose tissue lipolysis: molecular regulation and implications for metabolic disease. J Mol Endocrinol 2014;52:R199–222. [DOI] [PubMed] [Google Scholar]
  • 49. Kim JK, Park HC, Song YRet al. Effects of excessive body fat accumulation on long-term outcomes during peritoneal dialysis. Perit Dial Int 2019;39:268–75. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

gfac318_Supplemental_File

Data Availability Statement

The data underlying this research will be shared upon reasonable request to the corresponding author.


Articles from Nephrology Dialysis Transplantation are provided here courtesy of Oxford University Press

RESOURCES