- Academic Editor
Background: Lipopolysaccharide (LPS), an effective stimulator of the immune system, has been widely applied in an experimental pig model for human sepsis. Aquaporins (AQPs), a family of small integral membrane proteins responsible for facilitating water fluxes through the cell membrane, offer potential promising drug targets for sepsis treatment due to their role in water balance and inflammation. Methods: In order to investigate the potential effect of a dietary amino acid mixture supplementation on LPS-challenged weaned piglets, a total of 30, 28-day-old, males were randomly allocated to 1 of 3 dietary treatments for a 5-week period, with 10 animals in each: diet 1 was a control (CTL) treatment; diet 2 was LPS treatment, where the piglets were intraperitoneally administered LPS (at 25 µg/kg body weight); diet 3 was LPS + cocktail treatment, where the piglets were intraperitoneally administered LPS and fed a diet supplemented with a mixture of arginine, branched-chain amino acids (BCAA, leucine, valine, and isoleucine), and cystine. Key organs that control sepsis were collected and processed by real time quantitative PCR (RT-qPCR) for the AQPs and cytokines transcriptional profiles. Results: Minor variations were detected for AQPs and inflammatory markers mRNA levels, upon the dependence of LPS or the amino acid cocktail suggesting the piglets’ immune recovery. Using a discriminant analysis tool, we report for the first time, a tissue-specific variation in AQPs and cytokines transcriptional profiles that clearly distinguish the small intestine and the kidney from the liver and the spleen. Conclusions: This study provides a novel insight into the gene expression signature of AQPs and cytokines in the functional physiology of each organ in piglets.
Sepsis is a common cause of death in intensive care units all over the world and
it is associated with antibiotic resistance and the lack of an appropriate
antimicrobial therapy [1]. Lipopolysaccharide (LPS)-induced chronic inflammation
has been successfully used to mimic sepsis in studies conducted in vitro
and in vivo [2, 3]. Due to the complexity of this immunological syndrome
implying higher mortality rates, new therapeutic strategies, and predictive
biomarkers are of the utmost importance [4, 5, 6]. In this regard, aquaporins (AQPs),
which are passive transporters of water, are potentially promising drug targets
since they play a relevant role in inflammation and particularly in sepsis, where
disrupted water balance is observed [7, 8]. In fact, each of the 13 AQPs detected
in humans has particular features that make them crucial players in several
physiological roles, including immunity and inflammation, being involved in
signaling cascades for volume regulation, regulating the subcellular localization
of other proteins, and cell adhesion [9, 10]. Beyond water homeostasis, evidence
showed that AQPs can also facilitate the transport of small non-charged solutes
(such as glycerol, urea, and hydrogen peroxide), gases (CO
LPS initially acts on the local immune system, leading to water influx
(diarrhea) as a direct response of AQP1 to the antigen in the small and large
intestines [12]. Moreover, AQP3 is diminished in the intestinal epithelium of
LPS-treated mice [13]. The liver is also a preferential target for sepsis-induced
injury. AQP8 gene expression is reduced in hepatocytes [14] causing reduced bile
formation and aggravated cholestasis, while AQP9 remained unaffected [15].
Another common complication in sepsis is acute kidney injury, which often leads
to increased mortality owing to water imbalance. Downregulation of AQP2 was shown
in animal models using LPS after a short-time exposure [16], whereas, after a
long-time exposure, AQP2 was upregulated in the kidney [17]. AQP9 immunolabeling
confirmed granulocytes or monocytes as being responsible for this AQP isoform
expression in the spleens of rats [18]. Despite little being known regarding the
modulation of AQPs, the activation of the proinflammatory c-Jun N-terminal kinase
(JNK) and/or nuclear factor-kappa B (NF
Uncovering AQPs as important druggable targets highlights the utmost need to develop AQP-targeted medicines with the potential to be successfully used in human therapy. Therefore, unveiling the mechanistic pathways in which AQPs are enrolled provides information on alternative routes for targeting AQPs that go beyond the traditional pore-blocking approaches [23, 24, 25].
In addition to their constructive role in protein synthesis, amino acids are key functional and signaling molecules involved in the regulation of oxidative stress, immunity, and intestinal barrier function [26], among other processes. Dietary arginine supplementation in piglets facing LPS challenge increases villus height in the jejunum and ileum portions of the small intestine [27]. Furthermore, it impacts oxidative stress status by increasing the ferric-reducing ability in the plasma and decreasing the oxidized form of glutathione [28]. Under the same experimental model of challenge, cysteine supplementation (cysteine is oxidized to cystine) has been associated with an increase in transepithelial resistance and a reduction in the production of proinflammatory cytokines [29]. Additionally, dietary branched-chain amino acid (BCAA) supplementation is associated with an improvement in the piglets’ gut morphology, as well as with an increase in the expression of amino acid transporters [30, 31]. Thus, these findings indicate that these amino acids have complementary physiological modes of action and could play a protective functional effect in LPS-challenged piglets.
In this study, we mimicked a bacterial infection in recently weaned piglets through the intraperitoneal administration of LPS, a bacterial endotoxin. Our main objectives were: (a) to characterize the transcriptional profile of AQPs and cytokines in key organs that control sepsis, such as the small intestine, liver, spleen, and kidneys, and to observe any highly similar gene expression patterns between the tissue samples; (b) to test the impact of LPS-induced inflammation on the transcriptional profiles of AQPs and cytokines in the small intestine, liver, spleen, and kidneys; (c) to validate the hypothesis that LPS-induced modulation of the gene expression of AQPs and pro- and anti-inflammatory mediators, might be reversed by dietary amino acid (arginine, BCAA (leucine, valine, and isoleucine), and cystine) supplementations [26]. To the best of our knowledge, this is the first in vivo study investigating the effect of dietary supplementation of these amino acids in piglets facing an inflammatory-immunological challenge. This integrative methodological approach may elucidate the tissue-specific signaling pathways for AQPs and cytokines interplay, thus, providing a novel insight into their physiological role in the settings of inflammation and unveiling new AQP-targeting molecules that may inspire novel therapies.
The experimental procedures of the animal trial were carefully reviewed and approved by the Animal Care Committee of Instituto Superior de Agronomia (ISA), Universidade de Lisboa, (Lisbon, Portugal) and authorized by the National Veterinary Authority (Direcção Geral de Alimentação e Veterinária (Lisbon, Portugal), according to European Union guidelines (2010/63/EU Directive). The ethical approval code is #0421/000/000/2017. JAMP and PAL hold a FELASA grade C certificate, and DC hold a FELASA grade B certificate, which enables them to conduct animal experimentation in the European Union.
The experimental trial was performed at the Animal Production Sector of
Instituto Superior de Agronomia (ISA), Universidade de Lisboa (Lisbon, Portugal).
Thirty 28-day-old newly weaned male crossbred piglets (F2 crosses of Pietrain
Dietary treatments | ||
CTL and LPS | LPS + cocktail | |
Wheat | 200 | 200 |
Corn | 382 | 382 |
Soybean meal | 268 | 268 |
Sweet dry whey | 70 | 70 |
Soybean oil | 30 | 30 |
L-Lys | 6.4 | 6.4 |
DL-Met | 2.7 | 2.7 |
L-Thr | 2.8 | 2.8 |
L-Trp | 1.1 | 1.1 |
L-Val | 3.2 | 3.2 |
CaCO |
10 | 10 |
Dicalcium Phosphate | 16 | 16 |
Sodium bicarbonate | 2.2 | 2.2 |
NaCl | 3.0 | 3.0 |
Vitamin trace mineral mix |
3.0 | 3.0 |
L-Arg | 0.0 | 1.25 |
L-Leu | 0.0 | 0.50 |
L-Val | 0.0 | 0.25 |
L-Ile | 0.0 | 0.25 |
L-Cys | 0.0 | 0.75 |
The mixture composition was derived from an initial mixture, where the arginine, BCAA, and cystine contribution was equal. Then, the cystine contribution was decreased at the expense of arginine because cystine is known to display mucolytic effects above a certain dosage [33], while arginine is well tolerated at high dosages. After 7 days, all piglets, except the ones from the CTL group, which were injected with a sterile saline solution, received a mild LPS challenge administered intraperitoneally at a dosage of 25 µg/kg according to body weight [34]. LPS, extracted and purified from Escherichia coli O55:B5, was acquired from Sigma-Aldrich (St. Louis, MO, USA). During the experimental trial, piglets were housed in pens with three animals, fed with pelleted feed, ad libitum, and weighed individually once a week. The health status of the piglets was monitored during the experimental trial and no casualties were observed. At the end of the experiment, piglets were euthanized by electrical stunning and exsanguination, according to EU legislation. For additional details on the experimental trial, see Prates et al. [35]. Samples from the ileum of the small intestine (60 cm before the ileocecal valve), liver, kidneys, and spleen were collected, weighed, flash frozen, and stored at –80 °C, until analysis. Indicators of the inflammatory status were reported previously in a companion paper by Prates et al. [35] and were integrated into the Discussion section.
Tissues (ileum, liver, kidney, and spleen) were homogenized in NZYol Reagent (NZYtech, Lisbon, Portugal), using a TissueRuptor II (Qiagen, Hilden, Germany), and RNA extraction was carried out, according to the manufacturer’s protocol. For cDNA synthesis, 1 µg of total RNA with quality ratios 260/280 and 260/230 between 1.8–2.2 (NanoDrop1 ND-2000c, ThermoFisher Scientific, Waltham, MA, USA) were reverse transcribed in a 20 µL final volume using NZY First-Strand cDNA Synthesis Kit (NZYtech, Lisbon, Portugal), according to the manufacturer’s protocol, as described by da Silva et al. [36].
AQPs (1, 2, 3, 5, 8, 9, and 10), inflammation key players (CCL2, CXCL8, and
NLRP3), as well as cytokines (TNF-
The selected target genes and corresponding primers/probes are listed in Table 2. Probes were chosen in order to hybridize between exons to guarantee the detection of the corresponding transcript avoiding genomic DNA amplification. The cDNA amplification was performed as follows: 95 °C for 10 min, followed by 40 cycles of 15 seconds at 95 °C, and 1 min at 59 °C. qPCR reactions were carried out in duplicate, and data were normalized to the housekeeping gene HPRT1, the most stable gene of internal controls for normalization. Relative expression levels were calculated using a variation of the Livak and Schmittgen [37] method, reported by Fleige and Pfaffl [38].
Gene symbol | Full gene name | GenBank accession no. | TaqMan gene expression assay | Product size (bp) |
AQP1 | Aquaporin-1 | NM_214454.1 | Ss03385017_u1 | 97 |
AQP2 | Aquaporin-2 | EU636238.1 | Ss04321195_m1 | 80 |
AQP3 | Aquaporin-3 | NM_001110172.1 | Ss03389620_m1 | 77 |
AQP5 | Aquaporin-5 | EU192130.1 | Ss03389675_m1 | 105 |
AQP8 | Aquaporin-8 | EU220426.1 | Ss03386904_u1 | 60 |
AQP9 | Aquaporin-9 | NM_001112684.1 | Ss03389741_m1 | 65 |
AQP10 | Aquaporin-10 | NM_001128454.1 | Ss03374224_m1 | 61 |
IL-6 | Interleukin-6 | AB194100.1 | Ss03384604_u1 | 76 |
IL-1β | Interleukin-1 beta | AK344440.1 | Ss03393804_m1 | 96 |
TNF-α | Tumor necrosis factor alpha | EU682384.1 | Ss03391318_g1 | 73 |
IL-10 | Interleukin-10 | AK397697.1 | Ss03382372_u1 | 87 |
NLRP3 | NLR family pyrin domain containing 3 | AB292177.1 | Ss04953522_m1 | 109 |
CCL2 | Chemokine (C-C motif) ligand 2 | EU682382.1 | Ss03394377_m1 | 58 |
CXCL8 | C-X-C motif chemokine ligand 8 | AK231005.1 | Ss03392437_m1 | 94 |
HPRT1 | Hypoxanthine phosphoribosyltransferase 1 | NM_001032376.2 | Ss03388274_m1 | 73 |
RT-qPCR, real time quantitative PCR.
Data treatment was performed using Statistical Analysis Software, version 9.4 (SAS Institute, Cary, NC, USA) [39]. All data are presented as means with their standard errors. Data were checked for normal distribution by Shapiro–Wilk test and variance homogeneity by Levene’s test. Data were analyzed by using Proc MIXED with a model including tissue and dietary treatment as fixed effects and the repeated statement considering the group option to accommodate the variance heterogeneity. Statistical differences among tissues and dietary treatments were evaluated by least square means generated using the PDIFF option adjusted with Tukey–Kramer. Pearson’s correlation coefficients were performed with the Proc CORR procedure to establish linear relationships among gene expressions. A principal component analysis (PCA) was performed with AQPs and cytokines gene expression levels from all tissues: ileum, liver, spleen, and kidney. The PRIN COMP procedure was applied to 108 samples and 14 variables to diminish the dimensionality of the data set and to describe the variability of data into two dimensions. After data normalization, the principal components were interpreted as significant if they contributed more than 5% of the total variance. All statistical tests were considered significant at a probability level of 5%.
Fig. 1A–G show the variations on gene expression levels of AQPs across tissues
from piglets under LPS challenge, with or without dietary amino acids (arginine,
BCAA and cystine combined) supplementation. AQPs transcriptional profiles were
tissue-specific (p
Effect of tissue, dietary treatment, and tissue with dietary
treatment interaction on the relative gene expression levels of AQP1
(A), AQP2 (B), AQP3 (C), AQP5 (D), AQP8 (E),
AQP9 (F), and AQP10 (G) in the ileum (yellow bars), liver
(orange bars), spleen (blue bars), and kidney (black bars) from piglets fed with
control (CTL), under LPS challenge (LPS), and under LPS challenge with dietary
amino acid (arginine, BCAA (leucine, valine, and isoleucine), and cystine
combined) supplementation (LPS + C). Values are presented as mean with standard
errors represented by vertical bars.
Fig. 2A–G show the variations in gene expression levels of cytokines across
tissues from piglets under LPS challenge, with or without dietary amino acid
(arginine, BCAA, and cystine combined) supplementation. The inflammation was
highly dependent on tissue (p
Effect of tissue, dietary treatment, and tissue with dietary
treatment interaction on the relative gene expression levels of CCL2
(A), CXCL8 (B), IL-1
The only cytokine with a different pattern of gene variation across tissues from
piglets under LPS challenge, with or without dietary amino acids (arginine, BCAA,
and cystine combined) supplementation was IL-1
Fig. 3 presents Pearson’s correlations coefficients among mRNA expression levels
of AQPs and cytokines in the ileum (Fig. 3A), liver (Fig. 3B), spleen (Fig. 3C),
and kidney (Fig. 3D) of piglets under LPS challenge, with or without dietary
amino acid (arginine, BCAA and cystine combined) supplementation. All the
correlations were found to be positive. Since the number of correlations were
very high per tissue, only the highest correlations are herein described (high
correlation, r
Pearson’s correlation coefficients among mRNA
expression levels of AQPs and cytokines in the ileum (yellow, panel A), liver
(orange, panel B), spleen (blue, panel C), and kidneys (black, panel D) from
piglets fed with control, under LPS challenge, and under LPS challenge with
dietary amino acids (arginine, BCAA (leucine, valine, and isoleucine), and
cystine combined) supplementation. White squares, NS; black dots squares,
p
In the ileum (Fig. 3A), AQP1 correlated to AQP5 (r =
0.773, p
In the liver (Fig. 3B), AQP1 correlated to NLRP3 (r =
0.709, p
In the spleen (Fig. 3C), AQP1 correlated to IL-1
In the kidneys (Fig. 3D), AQP1 correlated to AQP3 (r
= 0.782, p
Fig. 4 shows the principal component analysis (PCA) output applied to the data set of 27 animal samples with 14 variables per tissue: ileum, liver, spleen, and kidney. The first and second principal components accounted for 64.14% of the total variance, with 46.61% for component 1 and 17.53% for component 2. As the total variance, explained by the first two principal components, was higher than 50%, the projection of animal tissue samples in the plane defined by these components is illustrated in Fig. 4.
Projection of samples (average of AQPs and cytokines gene expression levels by tissue: ileum (yellow), liver (orange), spleen (blue), and kidneys (black)) from piglets fed with control, under LPS challenge, and under LPS challenge with dietary amino acids (arginine, BCAA (leucine, valine, and isoleucine), and cystine combined) supplementation, in the plane defined by the two first principal components of principal component analysis (PCA).
A differential pattern of AQPs gene expression and cytokines across the ileum,
liver, spleen, and kidneys was clearly observed. It set apart the ileum located
across quadrants (b) and (c) and the kidney located in the upper part of the
graphic from the liver and the spleen that appeared mostly in quadrant (d). In
view of the fact that the liver and spleen are positioned very close to each
other, we suggest the existence of a similar tissue-specific pattern for AQPs and
cytokines gene expression, regardless of the LPS intraperitoneal injection or the
amino acid mixture supplementation. Table 3 displays the loadings for the first
two principal components. Overall, component 1 was mainly characterized by
cytokines gene expression data, in particular CCL2 (0.340),
TNF-
Eigenvectors | ||
Component 1 | Component 2 | |
AQP1 | 0.013 | 0.599 |
AQP2 | –0.042 | 0.599 |
AQP3 | 0.260 | 0.391 |
AQP5 | 0.314 | –0.072 |
AQP8 | 0.262 | –0.072 |
AQP9 | –0.106 | –0.277 |
AQP10 | 0.243 | –0.062 |
CCL2 | 0.340 | 0.014 |
CXCL8 | 0.331 | –0.113 |
IL-1 |
0.333 | –0.049 |
IL-6 | 0.248 | 0.012 |
TNF-a | 0.340 | –0.127 |
NLRP3 | 0.322 | 0.080 |
IL-10 | 0.275 | 0.023 |
Herein, we provided a screening of AQPs and cytokine gene expressions, across the ileum, liver, spleen, and kidneys, from piglets under a proinflammatory environment. Contrarily to the literature, using different experimental models and LPS dosages [2, 3, 14, 18, 27], no major impact of LPS injection on different AQP isoforms and cytokine transcriptional profiles was found. This is intriguing and most probably related to the chronological differences between the intraperitoneal injection of LPS and the piglets’ euthanasia (a time period of 5 weeks), which potentially provided enough time for animals’ immune recovery. We believe that to achieve statistical differences, LPS-challenged piglets should have been sacrificed 24 h after LPS [35]. The LPS animal model has many advantages, including technical ease and good reproducibility, especially in the elicited inflammatory response [3].
In this study, half of the LPS-challenged piglets were fed a diet supplemented
with a cocktail of functional amino acids. The dietary amino acid mixture did not
reverse the negative influence of LPS intraperitoneal injection over AQPs and
cytokines gene expression levels in piglets, as initially hypothesized, because
only a minor variation was detected for IL-1
Moreover, we postulated that AQPs and pro- and anti-inflammatory markers display their own specific gene expression patterns, according to the target tissue. This is a major breakthrough since, to the best of our knowledge, the full characterizations of the AQPs transcriptional profiles have not previously been carried out, especially for the gastrointestinal tract (e.g., [9, 27, 41, 42, 43, 44, 45, 46]). Notwithstanding, the mRNA levels of the AQPs detected per tissue are in accordance with several available reports in the literature, in particular for AQP3 and AQP10 in the small intestine [47, 48], AQP1, AQP3, AQP8, and AQP9 in the liver [49, 50, 51], AQP3 and AQP9 in the spleen [52], and AQP1, AQP2, and AQP3 in the kidney [47, 53].
The tissue-specific signature for AQPs and cytokine gene expressions was corroborated by a discriminant analysis tool that clearly distinguished the ileum and the kidney from the liver and spleen; these last organs are more identical to each other. We also describe a strong interplay among AQPs, according to tissue, which was sustained by high positive Pearson’s correlations. A high positive correlation is a large positive relationship since the value is close to +1 [39], meaning that both variables move in the same direction. This statistical tool supports the tissue-specific operating mode of aquaporins, for both water and glycerol permeation [8].
In what concerns to inflammation, serum TNF-
According to the literature, pigs are very sensitive to the administration of small dosages of LPS, which cause an immediate intense inflammatory response without causing mortality [60, 61]. We advance these findings to demonstrate that this immediate but profound inflammatory response disappears as time goes by.
Two important limitations of this study should be acknowledged. Gene expression changes often exhibit no or probably nonlinear correlation with protein expression levels, and unfortunately, protein level changes in the AQPs and cytokines were not assessed in this study. Since gene expression changes temporally precede the protein expression changes, we hypothesize that a later or subsequent endpoint analysis may exhibit changes in protein expression levels that are currently not reflected at the chosen moment of the endpoint analysis. This remains to be further elucidated. Another important limitation is that the number of piglets included in this experimental assay, in particular in the LPS-challenged group without amino acid supplementation, was relatively small. Therefore, large-scale studies are necessary to investigate if the modulation over inflammation can be translated into relevant effects on the animal’s performance and even survival.
Notably, the current work points towards the unveiling of novel strategies to target these channels. Targeting the molecular and signaling mechanisms of AQPs, in addition to using AQP-targeted antibodies, microRNAs, or other biomolecules, has been an experimental strategy to evaluate novel pharmacological modulators that directly affect aquaporin function, uncovering new therapeutic perspectives [7, 11, 62, 63]. Furthermore, the screening of AQPs as transport modulators, diagnostic clinical biomarkers, and even drug targets in a porcine model might be successfully translated to humans [36, 61].
The systematic methodological approach herein presented for AQPs and cytokines, based on gene expression profiles, in some key tissues of the gastrointestinal tract that control sepsis, enables the elucidation of tissue-specific variations for these transmembrane proteins and inflammatory mediators, thereby providing a novel insight into their operating physiological modes of action, i.e., across the small intestine, liver, spleen, and kidney, by using a porcine model of inflammation. Since the ileum and the kidney were found to be clearly separated from the other tissues, by a discriminant analysis tool, we propose the existence of a similar tissue-specific pattern for AQPs and cytokines gene expression, regardless of LPS intraperitoneal injection. No major variations were detected in the mRNA levels of the AQPs and inflammatory mediators, upon the dependence on LPS or the amino acid cocktail supplementation, suggesting an immune recovery by the piglets. Further in vivo investigation based on optimized LPS dosages and recovery time is of the utmost requirement to clarify the role of AQPs and cytokines in relation to inflammation.
The data presented in this study are available in this article.
IVS: Conception of the work, acquision and analysis of data; DC: analysis and interpretation of data; JAMP: conception and design of the work; GS: conception of the work, writing - reviewing and editing; PAL: conception of the work, writing - original draft preparation, writing - reviewing and editing. All authors substantially contributed to the conception or design of the work; or the acquisition, analysis or interpretation of data for the work and drafted or critically revised the work for important intellectual content and approved the final version to be published and agreed to be accountable for all aspects of the work.
The experimental procedures of the animal trial were carefully reviewed and approved by the Animal Care Committee of Instituto Superior de Agronomia (ISA), Universidade de Lisboa, (Lisbon, Portugal) and authorized by the National Veterinary Authority (Direcção Geral de Alimentação e Veterinária (Lisbon, Portugal), according to European Union guidelines (2010/63/EU Directive). The ethical approval code is #0421/000/000/2017. JAMP and PAL hold a FELASA grade C certificate, and DC hold a FELASA grade B certificate, which enables them to conduct animal experimentation in the European Union.
The authors are grateful to João Pedro Bengala Freire and Cátia Martins from Instituto Superior de Agronomia (ISA), Universidade de Lisboa for taking care of the animals during the experimental trial.
This research was funded by Fundação para a Ciência e a Tecnologia (FCT, Lisbon, Portugal) through PTDC/BTMSAL/28977/2017, UIDB/04138/2020 and UIDP/04138/2020 projects to iMed.ULisboa, UIDB/00276/2020 project to CIISA, and LA/P/0059/2020 to AL4AnimalS. It is also financial supported by national funds, through a PhD fellowship to DC (SFRH/BD/126198/2016) and FCT Stimulus of Scientific Employment Program to PAL (DL57/2016/CP1438/CT0007).
The authors declare no conflict of interest.
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