Next Article in Journal
Chromosome Evolution of the Liolaemus monticola (Liolaemidae) Complex: Chromosomal and Molecular Aspects
Next Article in Special Issue
Feeding Habits of Dentex maroccanus and the Effect of Body Size
Previous Article in Journal
Seasonal Trophic Ecology and Diet Shift in the Common Sole Solea solea in the Central Adriatic Sea
Previous Article in Special Issue
The Interplay between Central and Peripheral Systems in Feed Intake Regulation in European Seabass (Dicentrarchus labrax) Juveniles
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Daily Rhythms in the IGF-1 System in the Liver of Goldfish and Their Synchronization to Light/Dark Cycle and Feeding Time

by
Aitana Alonso-Gómez
,
Diego Madera
,
Ángel Luis Alonso-Gómez
,
Ana Isabel Valenciano
and
María Jesús Delgado
*
Department of Genetics, Physiology and Microbiology, Faculty of Biology, Complutense University of Madrid, 28040 Madrid, Spain
*
Author to whom correspondence should be addressed.
Animals 2022, 12(23), 3371; https://doi.org/10.3390/ani12233371
Submission received: 10 November 2022 / Revised: 25 November 2022 / Accepted: 29 November 2022 / Published: 30 November 2022
(This article belongs to the Special Issue Factors Affecting Fish Food Intake)

Abstract

:

Simple Summary

Insulin-like growth factor-1 is a peptide that acts both as a hormone and growth factor that participates in several physiological processes in vertebrates. Due to its pleiotropic actions, its functionality is regulated both by its linkage to binding proteins and the signaling through specific receptors. This system may be temporally synchronized to ensure the anticipatory physiological adaptations to cyclic environmental changes. The aim of this work is to study the daily variations in the expression of these components belonging to the insulin-like growth factor-1 system in the liver of goldfish, as well as the influence of two environmental synchronizers, the light/dark cycle and a scheduled feeding time, on such rhythmicity. Both environmental cues influence the daily rhythms of expression of the components of the insulin-like growth factor-1 system, and particularly, feeding time synchronizes these rhythms. Overall, this work evidences the relevance of insulin-like growth factor-1 and its binding proteins as potential rhythmic outputs of the liver clock in fish. A scheduled mealtime plays a key role in the functional organization of the circadian system in animals.

Abstract

The relevance of the insulin-like growth factor-1 (IGF-1) system in several physiological processes is well-known in vertebrates, although little information about their temporal organization is available. This work aims to investigate the possible rhythmicity of the different components of the IGF-1 system (igf-1, the igf1ra and igf1rb receptors and the paralogs of its binding proteins IGFBP1 and IGFBP2) in the liver of goldfish. In addition, we also study the influence of two environmental cues, the light/dark cycle and feeding time, as zeitgebers. The hepatic igf-1 expression showed a significant daily rhythm with the acrophase prior to feeding time, which seems to be strongly dependent on both zeitgebers. Only igfbp1a-b and igfbp1b-b paralogs exhibited a robust daily rhythm of expression in the liver that persists in fish held under constant darkness or randomly fed. The hepatic expression of the two receptor subtypes did not show daily rhythms in any of the experimental conditions. Altogether these results point to the igf-1, igfbp1a-b, and igfbp1b-b as clock-controlled genes, supporting their role as putative rhythmic outputs of the hepatic oscillator, and highlight the relevance of mealtime as an external cue for the 24-h rhythmic expression of the IGF-1 system in fish.

1. Introduction

The main endocrine pathway for animal growth is the somatotropic axis or the growth hormone-insulin-like growth factor-1 axis that comprises the hypothalamic control of pituitary somatotrophs and the consequent secretion of the growth hormone (GH). The main target for the GH is probably the liver, where it induces the synthesis and release of insulin-like growth factor-1 (IGF-1) that exerts negative feedback on pituitary synthesis and secretion of GH [1,2]. Several studies have focused on the GH, but only a few studies have investigated the three major components that constitute the IGF-1 signaling system, i.e., IGF-1, its receptors, and the binding proteins.
The IGF-1 is a single-chain polypeptide, originally called somatomedin C, that shares high structural homology with proinsulin and the IGF-2 [3], and it is well conserved in vertebrates. This growth factor is expressed in a wide variety of tissues, but the liver is the main producer of this peptide in most of the species studied so far [4]. The IGF-1 production is mainly controlled by the GH, but other hormones such as insulin and cortisol also participate [1,5], in addition to nutritional status, which is a key modulator in the control of IGF-1 [6]. The relevance of the IGF signaling system in growth regulation is currently accepted through vertebrates [7,8,9], and particularly in fish, IGF-1 has a remarkable pleiotropic profile as both an endocrine hormone and paracrine/autocrine growth factor [5,10]. It is reported to be involved in the stimulation of growth, cell survival and proliferation in different tissues, such as the retina, cartilage, muscle, and bone [11,12], regulation of food intake [13], osmotic adaptation to salinity changes [14,15], and reproduction [16,17], among others.
The bioactivity of IGF-1 requires its binding to specific receptors on the cell surface of targeted tissues activating well-established intracellular signaling transduction pathways [4,18]. The IGF-1 receptors (IGF1Rs) are characterized by a heterotetrameric arrangement consisting of two extracellular α-subunits that bind the ligand and two transmembrane β-subunits containing the tyrosine kinase domains [18]. The IGF-1 binding to the α-subunit activates the intrinsic tyrosine kinase activity, leading to its autophosphorylation on tyrosine residues as well as tyrosine phosphorylation of substrates involved in the intracellular signaling transduction pathways [18,19]. Due to the whole genome duplication 3R experienced by teleost [20], there are two isoforms of the IGF1Rs in most of them, the IGF1Ra and IGF1Rb. In addition, the extra round of genome duplication that occurred in both salmonid 4Rs [21] and the Cyprininae subfamily 4Rc, including goldfish (Carassius auratus) [22], is expected to produce four paralogs of these receptors. The broad tissue distribution of these receptors reported in some species [18,23,24,25] supports the multiple endocrine and paracrine actions reported for the IGF-1 in teleosts.
In vertebrates, the IGF-1 is not stored in tissues but is immediately secreted and bound to extracellular high-affinity insulin-like growth factor binding proteins (IGFBPs) [18]. The IGFBPs are single-chain polypeptides belonging to a family of cysteine-rich proteins highly conserved in vertebrates, including fish, that are essential for the regulation of systemic and local IGF-1 signaling [26]. In fact, the biological activity and half-life of IGF-1 are regulated by its high-affinity linkage to these IGFBPs, as in addition to carrying the circulating IGF-1, they protect the peptide from the enzymatic degradation and clearance [27], extending the half-life of IGF-1, and then, the availability of this peptide to its receptor, and consequently their actions. However, as most circulating IGF-1 is bound to IGFBPs due to the higher affinity of these binding proteins compared to the IGF-1 receptors, consequently, IGFBPs limit the availability of peptide for receptor activation. In any case, IGFBPs enable IGF-1 to act as an endocrine hormone and as autocrine/paracrine growth factors [28]. Six IGFBPs (−1 to −6 subtypes) have been described in mammals. The evolutive origin of this family is from a single pair of igfbps arranged in a tail-to-tail tandem organization in protochordates. Due to two rounds of whole genome duplications (1R and 2R) in ancestral gnathostomes, a total of eight igfbp paralogues are expected. However, two igfbp genes have been lost in all recent Chondrichthyes and Teleostomi [29]. The igfbp genes are widely expressed throughout the organism, with different expression patterns and regulation, and their physiological IGF-dependent and IGF-independent actions have been addressed in mammals [30] and fish [26]. In goldfish, due to the lineage-specific genome duplication events previously mentioned for the IGF-1 receptors (3R and 4Rc), the existence of up to four paralogs for each of the six IGFBP subtypes is expected. Members of the IGFBP family share sequence homology, but its regulation and the possibly distinct functional roles of this IGFBPs variety remain unsolved. Nevertheless, IGFBP1 and IGFBP2 have been reported as the main subtypes expressed in the liver of goldfish [31,32].
It is recognized that the actions of IGF-1 appear to be critically dependent on the hormonal and nutritional environment, but the relevance of the temporal organization of the IGF-1 axis has not been explored thoroughly. It is well known that a broad range of biological processes exhibit daily rhythmicity that has evolved to cope with natural environmental cyclic variations. This internal timing system confers adaptive advantages as it allows animals to anticipate and synchronize with periodic environmental variations [33]. In fish, studies on rhythms in the somatotropic axis have mainly focused on plasma GH. Daily rhythms of plasma IGF-1 in the channel catfish and liver igf-1 mRNA expression in gilthead sea bream, rabbitfish, tilapia, zebrafish, and Senegalese sole have been described [34,35,36,37,38,39]. However, it is unknown whether these daily variations are exogenous or are entrained by predictable cues. In addition, very little is known about possible rhythmic variations in the rest of the key elements that constitute the IGF-1 system, i.e., the receptors and the IGFBPs.
The liver, besides its well-known metabolic role, is the main peripheral oscillator that exhibits strong molecular machinery of clock genes. This oscillator is mainly entrained by food availability, being considered a food-entrainable oscillator involved in the temporal orchestration of metabolic processes [40,41,42]. However, it remains to be explored if the hepatic IGF-1 system can be considered as a real output of the liver clock, and very little is known about the possible rhythmicity of the different components of this system and its feasible role in integrating environmental timing signals to orchestrate the signaling outputs of the liver clock. Goldfish represent a teleost model with a well-studied circadian system, and the chronobiological properties of the liver as a circadian clock are well-known [33,40,41,42]. However, there is a great lack of knowledge of its rhythmic outputs. The purpose of this study is to investigate the possible role of the IGF-1 system (including the IGF-1 peptide, its receptors, and the binding proteins 1 and 2) as an output of the liver clock using goldfish as an animal model.

2. Materials and Methods

2.1. Animals

Juvenile goldfish (Carassius auratus) with a body weight (bw) of 13.9 ± 0.4 g were obtained from a commercial supplier (Industrias Canarias del Acuario S.A., Madrid, Spain). Fish (n = 204) were maintained in 60-L tanks (n = 6–7 fish/tank) with filtered and aerated fresh water (21 ± 2 °C) and under controlled photoperiod 12 h light:12 h dark (12L:12D, lights on at 8.00 a.m., i.e., Zeitgeber Time 0, ZT0). They were fed once daily at 10.00 a.m. (ZT2) with a 1.5% bw ration of dry pellets (Sera Pond Biogranulat, Heinsberg, Germany). Goldfish were maintained under these conditions for at least 3 weeks before the experimental use, with a 100% survival during both acclimation and experimental periods. All experimental procedures complied with the Guidelines of the European Union Council (2010/63/UE) and the Spanish Government (RD53/2013) for the use of animals in research and were approved by the Animal Experimentation Committee of Complutense University of Madrid and the Community of Madrid (PROEX 170.6/20). The authors complied with the ARRIVE guidelines.

2.2. Tissue Distribution of the IGF-1 System in Goldfish

The interrenal gland, gills, heart, esophagus, intestinal bulb, anterior intestine, middle intestine, posterior intestine, spleen, liver, adipose tissue, kidney, gonads, skin and white muscle were collected from 6 fish at ZT4. The mRNA extraction, the cDNA synthesis, and the quantification of mRNA expression of igf-1, igf1ra and igf1rb by real-time quantitative PCR (RT-qPCR) were performed following the protocol below described (2.5. Gene expression analysis). The relative abundance of the 4 paralogs (a-a, a-b, b-b, and b-a) of igfbp1 and igfbp2 was quantified in the liver.

2.3. Daily Variations of the IGF-1 System in the Liver. Light/Dark Cycle and Scheduled Feeding as Zeitgebers

Fish were divided into 3 experimental groups and exposed to the following conditions for 30 days. (1) The standard conditions (SC) group consists of 42 fish maintained under 12L:12D photoperiod and daily fed at 10.00 a.m. (ZT2); (2) the 24 dark (24D) group, conducted for suppressing the light-dark cycle zeitgeber, and comprises 42 fish maintained under 24D darkness and daily fed at 10.00 a.m. (Circadian Time 2, CT2); (3) the random feeding (RF) group, carried out to suppress the feeding time zeitgeber, and consists of 42 fish maintained under 12L:12D photoperiod and randomly fed provided by the RAND function (Microsoft Excel® software 16.0). In all experimental groups, food was provided by automatic feeders without altering either the light or dark conditions established at feeding time. The validity of this feeding protocol, which guarantees food intake within 30 min immediately after food delivery under 24D conditions, has been previously reported [43]. On the day of the experiment, fish were sampled every 4 h (n = 7 fish/sampling time) throughout a 24-h cycle (ZT3, ZT7, ZT11, ZT15, ZT19 and ZT23). For sampling, fish were anesthetized with tricaine methane sulfonate (MS-222, Sigma-Aldrich, St. Louis, MI, USA) and killed by anesthetic overdose (0.28 g/L). Liver samples were collected, immediately frozen in liquid nitrogen, and stored at −80 °C until RNA extraction.

2.4. Entrainment by the Feeding Time of the IGF-1 System in the Liver

Two experimental groups (n = 36 fish/group) were established. Fish were maintained for 30 days under 12L:12D photoperiod and fed at 2 different times, 1 group was scheduled to be fed in the middle of the light phase (ML, mid-light group, ZT6), and the other in the middle of the dark phase (MD, mid-dark group, ZT18). In both experimental groups, food was provided by automatic feeders without modifying the light or dark conditions established at feeding time. Fish fed at ZT 18 exhibited a robust food anticipatory activity during the night with a significant daily rhythm [44]. On the day of the experiment, fish from the two experimental groups were sampled every 4 h throughout the 24-h cycle (ZT5, ZT9, ZT13, ZT17, ZT21 and ZT25, n = 6 fish/sampling time). Fish were sacrificed by anesthetic overdose, and liver samples were collected, immediately frozen in liquid nitrogen, and stored at −80 °C until analysis.

2.5. Gene Expression Analysis

The number of transcripts of target genes (igf-1, igf1rs, and igfbps) was quantified by RT-qPCR, as described before [39]. Briefly, total RNA was extracted from tissues by using the guanidinium thiocyanate-phenol-chloroform reagent (TRI®Reagent, Sigma-Aldrich), according to manufacturer instructions with minor modifications. Aliquots of 0.3–3 µg of total RNA were treated with RQ1 RNase-Free DNase (Promega, Madison WI, USA) and subsequently retrotranscribed into cDNA (SuperScript Reverse II Transcriptase, Invitrogen, Walthman, MA, USA). The β-actin, elongation factor-1a (ef-1a) and 18S ribosomal RNA (18S rRNA) were used as reference genes to normalize quantified gene expression levels. The specific primer sequences used for targets and reference genes and their reference numbers (Gen Data Bank) are shown in Table S1.
The RT-qPCR reactions were performed in a final volume of 10 µL, including 1 µL of cDNA and 0.5 µM of each forward and reverse primer, and using iTaqTM SYBR® Green Supermix in a CFX96TM Real-Time System (BioRad Laboratories, Hercules, CA, USA). The qPCR cycling conditions consisted of a ramp of 95 °C for 30 s and 40 cycles of a 2-step amplification program (95 °C for 5 s and 60 °C for 30 s) for igf-1, igfbps and reference genes; and a ramp of 95 °C for 3 min and 40 cycles of a 3-step amplification program (95 °C for 10 s, 58 °C for 30 s and 60 °C for 30 s) for igf1ra and igf1rb genes. Calibration curves were made with serial dilutions of cDNA, showing efficiencies around 100%. The specificity of amplification was corroborated by melting curves (temperature gradient at 0.5 °C/5 s from 70 to 90 °C) at the end of each run and by the size of PCR products in a 1.5% agarose gel. Negative controls included the replacement of cDNA with water and the use of non-retrotranscribed RNA. The relative mRNA expression was determined by the 2−ΔΔCt method [45], considering the lowest expression levels as the relative value of 1.

2.6. Statistics

Statistics were carried out using SigmaPlot 12.0 (Systat Software Inc., San José, CA, USA). Data were checked for normality (Shapiro-Wilk test) and homoscedasticity (Levene’s test). When necessary, data were log-transformed to fulfill the conditions of normality and homoscedasticity. Statistical differences in mRNA expression among sampling points were assessed using 1-way ANOVA, followed by the post hoc Student–Newman–Keuls (SNK) multiple comparison test. Differences were considered statistically significant at p < 0.05. The daily rhythms of gene expression were assessed by Cosinor analysis by fitting gene expression values throughout the 24 h to periodic sinusoidal functions s by the least squares method [46]. The formula used was f(t) = M + A·cos(t·π/12−ϕ), where f(t) is the gene expression level at a given time point, the mesor (M) is the middle value of the fitted cosine representing a rhythm-adjusted mean, A is the sinusoidal amplitude of oscillation (i.e., the half the difference between the minimum and maximum of the fitted cosine function), t is time in hours and ϕ is the acrophase (time of the peak value expressed in h from ZT0). The estimation of M, A, and ϕ and their standard error (SE) was carried out using nonlinear regression. The significance of the cosinor analysis was tested using the zero-amplitude test, which indicates if the sinusoidal amplitude differs from 0 with a given probability [47]. Daily rhythms were significant when both p < 0.05 by ANOVA and p < 0.01 by the zero-amplitude test were achieved.

3. Results

3.1. Tissue Distribution of the IGF-1 System in Goldfish

The relative gene expression of the main components of the IGF-1 system in the peripheral tissues of goldfish is shown in Figure 1. The highest abundance of igf-1 mRNAs was found in the liver and adipose tissue, and low expression was found in the rest of the tissues, except for the interrenal tissue, heart, kidney, gonads, skin, and muscle, where very low expression of igf-1 was found (Figure 1A). Regarding the distribution of IGF-1 receptors, the igf1ra subtype shows a widespread tissue distribution with similar abundance in most of the studied tissues and the highest expression values in the gills and heart and the lowest expression found in the middle intestine, liver and muscle (Figure 1B). The transcripts of igf1rb were abundantly located in gills and gonads, with the liver and muscle as the tissues that exhibited the lowest expression (Figure 1C). The analysis of the relative abundance of the igfbp1 and igfbp2 paralogs in the liver of goldfish showed the highest expression values for the igfbp1b-a and lower expression of the igfbp1a-b. The igfbp1a-a and igfbp1b-b and the four IGFBP2 paralogs were scarcely expressed in the liver of goldish (Figure 1D).

3.2. Daily Variations of the IGF-1 System in the Liver. Light/Dark Cycle and Scheduled Feeding as Zeitgebers

The igf-1 expression in the liver of goldfish showed a significant 24-h daily rhythm (ANOVA and cosinor analysis) of low amplitude (A = 0.55) in animals under a 12L:12D photocycle and fed at ZT2 (2 h after lights on). The acrophase of this rhythm is found at the end of the dark period (ZT23; Figure 2A). This daily rhythmic expression disappeared in the absence of external zeitgebers, the light/dark cycle (24D group, Figure 2B) or the scheduled feeding (RF group, Figure 2C). The mean levels of expression throughout the 24-h remained similar in both groups compared to fish exposed to both zeitgebers (SC group).
Liver expression of the two paralogs of igfbp1 (igfbp1a-b and igfbp1b-b) exhibited robust daily rhythms in goldfish under a 12L:12D photocycle and daily fed at ZT2, with the acrophase found at mid-photophase (ZT6.7, 4-h post-feeding), and the nadir at mid-dark for the igfbp1a-b (Figure 3A). The amplitude of the daily rhythm for the igfbp1b-b paralog was lower than the amplitude of igfbp1a-b, and the rhythm was slightly shifted, with the acrophase placed around ZT10 and the nadir at the end of scotophase (Figure 3B). These sinusoidal rhythms were preserved in goldfish reared under 24D, but the daily profile of expression of both binding proteins paralogs was shifted (6-h for igfbp1a-b and 3 h for igfbp1b-b), while the amplitude remained almost unaltered for igfbp1a-b (Figure 3C) but resulted slightly reduced for the igfbp1b-b expression (1.45 versus 2.65, Figure 3D). In the absence of the scheduled feeding as a zeitgeber, the daily rhythm of the igfbp1a-b transcripts preserved their 24-h profile and amplitude, and the acrophase slightly shifted (ZT8, Figure 3E). The expression pattern of the igfbp1b-b paralog remained similar to that found in 24D, with a shift of 6 h compared to the control group (Figure 3F). The gene expression of the rest of the paralogs of IGFBP1 and the four paralogs of IGFBP2 did not show statistically significant variations throughout the 24-h.
The 24-h expression of both subtypes of IGF-1 receptors (igf1ra and igf1rb) in the liver remained unmodified in fish exposed to both zeitgebers (light/dark cycle and scheduled feeding time group, Figure 4A,B). Similar results were found in the absence of the light/dark cycle (24D group, Figure 4C,D) or a scheduled feeding (randomly fed group, Figure 4E,F), except for the expression of igf1rb in the 24D group, where the abundance of transcripts was significantly higher at CT15 than at CT7 (Figure 4D), but data were not significant by cosinor analysis

3.3. Entrainment by the Feeding Time of the IGF-1 System in the Liver

The possible entrainment of the hepatic rhythm of igf-1 by feeding time was studied by a 12h-shift of feeding time in goldfish under 12L:12D photoperiod. A daily rhythm of igf-1 expression in the liver was found in both groups of goldfish, with similar amplitudes and mesor values, but the acrophases were 12-h shifted in fish fed at mid-dark (MD group, ZT18, Figure 5B) compared to fish fed at midday (ML group, ZT6, Figure 5A).
The effects of a 12 h-shift in feeding time on the expression of igfbp1 and igfbp2 paralogs are shown in Figure 6 and Figure 7, respectively. The expression of the igfbp1a-b and igfbp1b-b paralogs showed significant daily rhythms of similar amplitudes that shifted when the zeitgeber feeding time was 12h-shifted (Figure 6C,D,G,H). It is found that the amplitude of these rhythms was higher in fish entrained by feeding time at mid-dark compared to fish fed at midday. The daily expression of igfbp1a-a in fish fed at midday showed two peaks: at the end of photophase and at the end of scotophase, this profile is suitable with an ultradian rhythm (Figure 6A), but it is modified to a low amplitude 24-h sinusoidal rhythm when food was provided at the mid-dark (Figure 6B). The expression of igfbp1b-a showed statistically significant differences throughout the 24-h (ANOVA), but it did not fit sinusoidal rhythmic waves in any of the two mealtime conditions, midday (Figure 6E) and mid-dark (Figure 6F).
As a rule, the expression of the four paralogs of the igfbp2 did not fit sinusoidal 24-h rhythms, but some statistically significant differences were found through the 24-h cycle (Figure 7). The number of transcripts of igfbp2a-b and igfbp2b-b was significantly higher at the beginning of the light phase in fish fed at midday (Figure 7A,G), but this pattern disappeared in fish fed at mid-dark (Figure 7B,H).
Figure 8 shows polar graphs with the amplitudes and acrophases derived from the cosinor analysis for the daily rhythms in igf-1 (A), igfbp1a-b (B) and igfbp1b-b (C) expression in the liver. The outermost ring indicates the time in zeitgeber units, and the acrophase (ϕ) is indicated by the angle of a vector whose length corresponds to the amplitude (A). It is clearly observed the 12-h shift in the daily rhythmic profile of igf-1 expression without alterations in amplitudes (Figure 8A). In the case of the igfbp1a-b (Figure 8B), it can be observed the amplitude changes induced by different feeding schedules and the shifted acrophases for the rhythmic profiles placed in the light phase of the photocycle (except for the rhythm under continuous darkness). Finally, in the random feeding group, a reduction of amplitudes and the shift of acrophases from dusk to the first half of the dark phase in the igfbp1b-b rhythms are shown in Figure 8C.

4. Discussion

Present data provide relevant information about the IGF-1 system as a new candidate among the possible functional outputs of the liver clock in fish. Our study reveals that the IGF-1 in peripheral tissues of goldfish is mostly produced in metabolic tissues, such as the liver and adipose tissue, with significantly lower presence in other tissues, such as the gills and gastrointestinal tract. Very few studies report the presence of IGF-1 in adipose tissue, but the abundance of this peptide in the liver is a common feature in all the teleost species so far investigated (coho salmon [48,49], tilapia [50], zebrafish [51], common carp [52], trout [53], and silver pomfret [54], including the goldfish [12]) and point to the liver as the primary source of IGF-1 in fish. It is important to note that this pattern of tissue distribution could be slightly different depending on the time of day it is quantified due to the daily variation of igf-1 expression found in the liver. The very low expression of both subtypes of IGF-1 receptors found in the liver of goldfish, in agreement with previous reports in other teleosts [25,51,55], supports that IGF-1 from the liver is released into the blood without competition from IGF1Rs, evidencing the endocrine role of hepatic IGF-1 [56]. On the other hand, our results about a broad tissular distribution of igf1ra and igf1rb, together with the presence of the igf-1 transcripts in such a wide variety of tissues, support the pleiotropic profile of this peptide in fish and reinforce the hypothesis that the local production of this peptide may exert paracrine/autocrine actions in multiple organs in goldfish, as suggested in other vertebrates [18]. Liver and muscle exhibited negligible gene expression of both IGF1R subtypes. Meanwhile, gills were the tissue with the highest expression of both igfr1a and igfr1b receptors, in agreement with the suggested osmoregulatory functions of IGF-1 in fish [15,57]. The abundant expression of the igf1rb subtype in the gonads also supports the reproductive functions of IGF-1 in fish [17,54]. Few studies have reported differential tissular distribution of different subtypes of IGF-1 receptors in fish [25,51,55], with similar results to those shown in the present study.
Our results show that both IGFBP1 and IGFBP2 encoding genes are expressed in the liver of goldfish and support the synthesis of these proteins in this tissue [31,32]. It is generally accepted that the liver is the predominant source of circulating IGFBPs in different teleosts [26], e.g., the liver exhibits a higher abundance of IGFBP transcripts than any other tissue in the Atlantic salmon, 95% of which comprised IGFBP1 and IGFBP2 paralogs [58]. In addition, our study demonstrates for the first time the gene expression of the four paralogs of each of the two IGFBPs (IGFBP-1 and IGFBP-2) in the liver of goldfish, which we have named igfbp1a-a, igfbp1a-b, igfbp1b-a, igfbp1b-b, and igfbp2a-a, igfbp2a-b, igfbp2b-a, and igfbp2b-b, based on the information from the syntenic analysis (in preparation). This nomenclature agrees with the suggestion for Cyprinus carpio (α = a, β = b) but differs from that used for salmonids, whose igfbp genes are not orthologous due to an independent genome duplication [26]. The most abundant paralog expressed in the liver of goldfish is igfbp1b-a, while the lower expression is found for the igfbp2b-a paralog. Many studies do not distinguish paralogs of these igfbp-encoding genes, and the only one published in goldfish classified it into two groups, IGFBP-1a and IGFBP-1b, and grouped IGFBP-1 into the IGFBP-1a clade [31], which is probably an artefactual chimera of IGFBP1a-a and IGFBP1a-b. Also, in zebrafish, it has been identified two genes that are co-orthologs of human IGFBP-1, igfbp-1a and igfbp-1b, whose expressions are restricted to the liver of adults [59]. Despite a wide tissular distribution of IGFBP-2 reported in teleosts, with higher abundance in the liver and the nervous system [26], the analysis of paralogs shows the undetectable expression of igfbp2b2 in the liver of Atlantic salmon [58], consistent with our data in goldfish, and emphasize the relevance of distinguishing paralogs to provide insights into the functional roles of the different members of the IGFBPs family.
The liver of goldfish exhibits daily rhythms in the transcripts of some elements of the IGF-1 system, particularly IGF-1 and some IGFBPs, supporting the hypothesis that the IGF-1 system could be acting as a rhythmic output of this peripheral clock. The daily rhythm in the abundance of igf-1 transcripts found in the liver of goldfish with the acrophase at the end of the dark period matched with daily rhythms of clock genes belonging to the negative limb (e.g., per genes) of the main loop of molecular machinery in the liver clock [60]. This result points to igf-1 as a clock-controlled gen and reinforces its possible role as a rhythmic output of the liver oscillator. In support of this proposal, it is reported that the promoter of the IGF-1 encoding gene in the white seabream and the common carp contains highly conserved regulatory elements [61,62], some of which are identified as transcription factors in the circadian regulation of the clock-controlled genes in mammals [63].
Daily variations of igf-1 mRNA expression have been reported in some teleost [35,37,38], but significant circadian rhythms were demonstrated only in the Senegalese sole [36], the gilthead sea bream larvae [39] and the Nile tilapia [62]. By contrast, no daily pattern was observed in the expression of igf-1 mRNA in rabbitfish through the light/dark cycle [34]. This variability in the daily profile of igf-1 expression may be due to species differences (e.g., diurnal versus nocturnal, larvae versus adults), but in chronobiological studies, it is essential to properly define the environmental conditions (photocycle, feeding protocol, activity pattern) during the study, because these factors clearly entrain daily rhythms [33,40,64]. In agreement with our data, in the Senegalese sole [36] and the tilapia [65] under a 12L:12D photocycle, the acrophases of igf-1 daily rhythms were located toward the end of the dark phase of the photocycle, which has been suggested as the anticipation of light onset. Our study demonstrates that a photocycle is required to express the daily rhythm of igf-1 in the liver of goldfish, as this rhythm disappears under 24D conditions, as occurs in tilapia [65], and supports previous reports that evidence the relevance of photoperiod for the expression of igf-1 daily variations in the liver of teleost [35,36,37,39]. The fact that clock genes expression (per1, clock1, bmal1, and rev-erb) in the liver of goldfish was highly sensitive to the daily photocycle [40,60] demonstrates the key role of the light/dark cycle in the synchronization of this peripheral clock [33,41]. However, the lack of a photocycle does not abolish the daily rhythms of the two rhythmic paralogs of igfbp1 in the liver of goldfish, which maintained significant rhythms with lower amplitudes and shifted the acrophases. This persistence of the igfbp rhythms in fish held under constant darkness could suggest that they were driven by an endogenous biological clock. Nevertheless, of the eight igfbps paralogs studied in goldfish, only two (1a-b and 1b-b) exhibit a daily rhythm of expression in the liver of goldfish, which supports the distinct functional roles of this igfbps repertoire. The regulatory systems controlling the production of IGFBPs are largely unknown, and particularly, daily changes in the expression of IGFBP encoding genes and their regulation by the photoperiod have not been previously studied in the liver of fish. Results from this study in goldfish suggest that at least the igfbp1a-b and igfbp1b-b paralogs in the liver may be considered putative clock-controlled genes. The finding that the HIF-1, a candidate in the circadian transcriptional regulation of the clock-controlled genes in mammals [63], mediates hypoxia-induced IGFBP-1 gene expression in zebrafish early development support this idea. Also, in the skeletal muscle of zebrafish adults, it is suggested that igfbp3 and igfbp5 might be considered putative clock-controlled genes [66].
Even though the expression of IGF-1 receptors was very low in the liver of goldfish, we investigated possible changes in the expression through the 24-h cycle. We have not detected significant variations in the expression of any of the two receptor subtypes, the igf1ra and igf1rb, in any of the experimental conditions, except for a significant difference in the amount of igf1rb transcripts in fish under 24D, without any rational explanation for this finding at present. To our knowledge, few studies reported daily rhythms of IGF-1 receptors in fish, with a variety of results. In the Senegalese sole, a weak rhythm is described for igf1r with the acrophase close to midday [36], but in the Nile tilapia, no expression of igf1ra could be detected in the liver [35], but a clear daily rhythm in the liver transcripts of this receptor is recently reported in this teleost under 12L:12D, that disappears under 24D [65]. From these results, it seems that the light/dark cycle is important for the daily expression of igf1rs in the liver, but differences in feeding pattern (once a day at midday versus twice a day, at the beginning and the end of the light period) could explain the different results.
Light has been traditionally considered the main zeitgeber for the circadian system, but feeding time is a potent synchronizer of peripheral clocks, as the liver, which is considered a food-entrained oscillator [33]. Little is known about the functional organization of such clocks, but it is demonstrated that the liver drastically alters its molecular clockwork by different exogenous and endogenous inputs [33,41,60]. Our data clearly demonstrate the key role of feeding times in the entrainment of igf-1 rhythms in the liver. On the one hand, the rhythm is abolished under random feeding conditions; on the other, a 12-h shift in feeding time induces a 12-h shift in the acrophase of the igf-1 daily rhythm. Both responses are consistent with the changes of clock genes expression to this challenge of a 12-h shift of feeding time as synchronizer [44] and indicate that the IGF-1 encoding gene in the liver can be considered as a possible output gene of this peripheral clock, supported by a network between the functioning of the molecular machinery of the liver clock in goldfish and one of its putative outputs.
The acrophase of igf-1 daily rhythms is always found around 4 h prior to feeding time in all the scheduled feeding experiments in the liver of goldfish, i.e., at ZT23, ZT2, and ZT13 when fish were fed once a day at ZT2, ZT6, and ZT18, respectively. The important finding that the 12-h shift in feeding time (from midday to midnight) shifted the acrophase of igf-1 transcripts demonstrates that a scheduled feeding time entrains the igf-1 daily rhythm in the liver of this teleost and supports the key role of the liver as a food-entrained clock in the functional circadian system of fish. In some teleosts, the peak of igf-1 expression in the liver when fish are schedule-fed once a day during the light time is found at postprandial times: 5–6 h in rabbitfish [34] and 10 h in gilthead seabream [37]. These differences may be due to species differences, but they can also be related to the active phase of the animals. For example, in a nocturnal teleost, the Senegalese sole, the acrophase of igf-1 was in the second half of the dark period of the photocycle [36]. In addition, in some teleosts, it is demonstrated that food availability, as a powerful synchronizer of endogenous clocks, drives locomotor activity [67,68]. Particularly in goldfish, the existence of a functional food-entrainable oscillator regulating locomotor activity is proposed on the basis that the scheduled feeding entrains an anticipatory food activity, even in total darkness, that is abolished under random feeding conditions [43].
The fact that the rhythmic profile of igfbp1a-b expression remains unaltered in random-fed fish might suggest that the daily rhythm of this paralog is independent of a scheduled feeding time as a zeitgeber. However, the results obtained in fish fed at different times (ZT2, ZT6 and ZT 18) seem to indicate that feeding time entrains the rhythms of this paralog, as the acrophase is found around 4-h post-feeding when food is provided during the light time, and 8-h when is provided during darkness. Taking in mind the relevance of the masking effects in chronobiological studies, from our results, we cannot conclude that the observed rhythms of the igfbp1a-b transcripts were really driven by an endogenous clock, as they can be the result of a passive consequence of a particular environmental condition, as the feeding time. Our results about the rhythmic expression of the igf1bp1b-b were slightly different from those obtained for the igfbp1a-b paralog, as the daily rhythms were preserved (with some delays in acrophases) in the absence of each one of the two zeitgebers (light/cycle and scheduled feeding time), but the profile exhibited significantly higher amplitude and phase delay when goldfish were fed at midnight. We have no explanation for this response, but considering that IGFBPs are multifunctional proteins with many different IGF-1-independent actions and are particularly involved in metabolic homeostasis [26], it is plausible to hypothesize that the expression of this paralog would be affected by a pattern of nocturnal feeding and the possible consequent alteration in homeostasis. From a chronobiological point of view, the liver expression of igfbp1a-a and igfbp1b-a of goldfish showed daily variations but not significant rhythms, and their specific role in the circadian system remains uncertain. Finally, the modulatory role of nutritional status on the somatotropic axis is well-known, but there is no information available on its possible effects on the daily rhythms of the IGF-1 system in fish. Nevertheless, the failure to detect a daily rhythm of igf-1 in the rabbitfish [34] could be due to the fact that fish were 72-h fasted prior to sampling, as it is reported that plasma IGF-1 and liver igf-expression typically decline during food deprivation [2,69,70,71,72]. Thus, it could be suggested that nutritional status also plays an important role in endogenous signaling in the modulation of the rhythms of the IGF-1 system, which may act as an output of the liver clock.
Altogether these results encourage us to investigate whether IGF-1 is not only an output of the liver clock but could also act as a functional input in the crosstalk among clocks. Indeed, it could be essential to identify the expression of IGF-1 receptors in the brain and peripheral clocks, as well as to delve into the putative role of IGF-1 as a signal involved in the interplay among oscillators.

5. Conclusions

Present data provide relevant information about the IGF-1 system as a new candidate among the possible functional outputs of the liver clock in fish. Our results about the local production of the IGF-1 and the presence of receptors in different tissues support its paracrine/autocrine actions in goldfish. We demonstrate for the first time the gene expression of the four paralogs of each of the two IGFBPs (IGFBP-1 and IGFBP-2) in the liver of goldfish, which we have named igfbp1a-a, igfbp1a-b, igfbp1b-a, igfbp1b-b, and igfbp2a-a, igfbp2a-b, igfbp2b-a and igfbp2b-b. Such a wide variety of observed paralogs encourages the address of specific approaches to provide insights into the functional roles of the different members of the IGFBPs family.
Our data clearly demonstrate the key role of feeding times in the entrainment of daily rhythms in transcripts of hepatic IGF-1 and support the liver as a food-entrained clock. In addition, the igf-1 and, at least, the igfbp1a-b and igfbp1b-b paralogs seem to be putative clock-controlled genes, reinforcing the hypothesis that the IGF-1 system may be acting as a rhythmic output of a food-entrainable oscillator, as it is the liver of goldfish.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ani12233371/s1, Table S1: Primers used in the qRT-PCR for housekeeping and target genes.

Author Contributions

Conceptualization, M.J.D. and A.I.V.; methodology, A.A.-G. and D.M.; software, A.A.-G. and Á.L.A.-G.; validation, A.I.V. and Á.L.A.-G.; formal analysis, A.A.-G. and D.M.; investigation, A.A.-G. and D.M.; resources, M.J.D., A.I.V. and Á.L.A.-G.; data curation, Á.L.A.-G. and A.I.V.; writing—original draft preparation, A.A.-G. and A.I.V.; writing—review and editing, M.J.D.; visualization, Á.L.A.-G. and A.I.V.; supervision, M.J.D., A.I.V. and Á.L.A.-G.; project administration, M.J.D.; funding acquisition, M.J.D., A.I.V. and Á.L.A.-G. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Spanish Ministerio de Ciencia e Innovación, PID2019-103969RBC32 to M.J.D., and the A.A.-G. is a predoctoral fellow from the Ministerio de Ciencia e Innovación (BES-2017-081398), D.M. is a predoctoral fellow from the Universidad Complutense de Madrid (CT42/18-CT43/18).

Institutional Review Board Statement

The study protocol was in accordance with the Declaration of Helsinki, the regulations of the European Union Council (UE63/2010) and the Spanish Government (RD53/2013) for the use of animals in scientific proposals. It was approved by the Ethics Committee) of the Complutense University of Madrid (O.H.-UCM-1310122019-2020 and by the Community of Madrid (PROEX 170.6/20).

Informed Consent Statement

Not applicable.

Data Availability Statement

Data included in the article.

Acknowledgments

The authors would like to thank the members of the Fish Neuroendocrinology Research Group (Complutense University of Madrid) for their support.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

References

  1. Ohlsson, C.; Mohan, S.; Sjögren, K.; Tivesten, Å.; Isgaard, J.; Isaksson, O.; Jansson, J.O.; Svensson, J. The role of liver-derived insulin-like growth factor-I. Endocr. Rev. 2009, 30, 494–535. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Triantaphyllopoulos, K.A.; Cartas, D.; Miliou, H. Factors influencing GH and IGF-I gene expression on growth in teleost fish: How can aquaculture industry benefit? Rev. Aquac. 2019, 12, 1637–1662. [Google Scholar] [CrossRef]
  3. Shimizu, M. Insulin-Like Growth Factor-1. In Handbook of Hormones. Comparative Endocrinology for Basic and Clinical Research; Ando, H., Ukena, K., Nagata, S., Eds.; Academic Press: London, UK, 2021; pp. 285–296. ISBN 9780128206492. [Google Scholar]
  4. Hakuno, F.; Takahashi, S.I. 40 years of IGF1: IGF1 receptor signaling pathways. J. Mol. Endocrinol. 2018, 61, T69–T86. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Duan, C. Nutritional and developmental roles of insulin-like growth factors between species: A brief history and introduction. J. Nutr. 1998, 128, 306–314. [Google Scholar] [CrossRef] [Green Version]
  6. Bertucci, J.I.; Blanco, A.M.; Sundarrajan, L.; Rajeswari, J.J.; Velasco, C.; Unniappan, S. Nutrient regulation of endocrine factors influencing feeding and growth in fish. Front. Endocrinol. 2019, 10, 83. [Google Scholar] [CrossRef] [Green Version]
  7. Beckman, B.R. Perspectives on concordant and discordant relations between insulin-like growth factor 1 (IGF1) and growth in fishes. Gen. Comp. Endocrinol. 2011, 170, 233–252. [Google Scholar] [CrossRef]
  8. Kamei, H.; Duan, C. Alteration of organ size and allometric scaling by organ-specific targeting of IGF signaling. Gen. Comp. Endocrinol. 2021, 314, 113922. [Google Scholar] [CrossRef] [PubMed]
  9. Picha, M.E.; Turano, M.J.; Beckman, B.R.; Borski, R.J. Endocrine Biomarkers of Growth and Applications to Aquaculture: A Minireview of Growth Hormone, Insulin-Like Growth Factor (IGF)-I, and IGF-Binding Proteins as Potential Growth Indicators in Fish. N. Am. J. Aquac. 2008, 70, 196–211. [Google Scholar] [CrossRef]
  10. Caruso, M.A.; Sheridan, M.A. New insights into the signaling system and function of insulin in fish. Gen. Comp. Endocrinol. 2011, 173, 227–247. [Google Scholar] [CrossRef] [PubMed]
  11. Datuin, J.P.; Ng, K.P.; Hayes, T.B.; Bern, H.A. Effects of glucocorticoids on cartilage growth and response to IGF-I in the tilapia (Oreochromis mossambicus). Gen. Comp. Endocrinol. 2001, 121, 289–294. [Google Scholar] [CrossRef]
  12. Otteson, D.C.; Cirenza, P.F.; Hitchcock, P.F. Persistent neurogenesis in the teleost retina: Evidence for regulation by the growth-hormone/insulin-like growth factor-I axis. Mech. Dev. 2002, 117, 137–149. [Google Scholar] [CrossRef] [PubMed]
  13. Canosa, L.F.; Bertucci, J.I. Nutrient regulation of somatic growth in teleost fish. The interaction between somatic growth, feeding and metabolism. Mol. Cell. Endocrinol. 2020, 518, 111029. [Google Scholar] [CrossRef] [PubMed]
  14. Cui, W.; Takahashi, E.; Morro, B.; Balseiro, P.; Albalat, A.; Pedrosa, C.; Mackenzie, S.; Nilsen, T.O.; Sveier, H.; Ebbesson, L.O.; et al. Changes in circulating insulin-like growth factor-1 and its binding proteins in yearling rainbow trout during spring under natural and manipulated photoperiods and their relationships with gill Na+, K+-ATPase and body size. Comp. Biochem. Physiol. Part A Mol. Integr. Physiol. 2022, 268, 111205. [Google Scholar] [CrossRef] [PubMed]
  15. Yan, J.J.; Lee, Y.C.; Tsou, Y.L.; Tseng, Y.C.; Hwang, P.P. Insulin-like growth factor 1 triggers salt secretion machinery in fish under acute salinity stress. J. Endocrinol. 2020, 246, 277–288. [Google Scholar] [CrossRef] [PubMed]
  16. Higuchi, K.; Kazeto, Y.; Ozaki, Y.; Izumida, D.; Hotta, T.; Soyano, K.; Gen, K. Insulin-like growth factors 1 and 2 regulate gene expression and enzymatic activity of cyp17a1 in ovarian follicles of the yellowtail, Seriola quinqueradiata. Heliyon 2020, 6, e04181. [Google Scholar] [CrossRef] [PubMed]
  17. Reinecke, M. Insulin-like growth factors and fish reproduction. Biol. Reprod. 2010, 82, 656–661. [Google Scholar] [CrossRef] [Green Version]
  18. LeRoith, D.; Holly, J.M.P.; Forbes, B.E. Insulin-like growth factors: Ligands, binding proteins, and receptors. Mol. Metab. 2021, 52, 101245. [Google Scholar] [CrossRef]
  19. Wood, A.W.; Duan, C.; Bern, H.A. Insulin-like growth factor signaling in fish. Int. Rev. Cytol. 2005, 243, 215–285. [Google Scholar] [CrossRef]
  20. Hoegg, S.; Brinkmann, H.; Taylor, J.S.; Meyer, A. Phylogenetic timing of the fish-specific genome duplication correlates with the diversification of teleost fish. J. Mol. Evol. 2004, 59, 190–203. [Google Scholar] [CrossRef] [Green Version]
  21. Macqueen, D.J.; Johnston, I.A. A well-constrained estimate for the timing of the salmonid whole genome duplication reveals major decoupling from species diversification. Proc. R. Soc. B Biol. Sci. 2014, 281, 20132881. [Google Scholar] [CrossRef]
  22. Yang, L.; Sado, T.; Vincent Hirt, M.; Pasco-Viel, E.; Arunachalam, M.; Li, J.; Wang, X.; Freyhof, J.; Saitoh, K.; Simons, A.M.; et al. Phylogeny and polyploidy: Resolving the classification of cyprinine fishes (Teleostei: Cypriniformes). Mol. Phylogenet. Evol. 2015, 85, 97–116. [Google Scholar] [CrossRef] [PubMed]
  23. Hitchcock, P.F.; Otteson, D.C.; Cirenza, P.F. Expression of the insulin receptor in the retina of the goldfish. Investig. Ophthalmol. Vis. Sci. 2001, 42, 2125–2129. [Google Scholar]
  24. Kuang, Y.M.; Li, W.S.; Lin, H.R. Molecular cloning and mRNA profile of insulin-like growth factor type 1 receptor in orange-spotted grouper, Epinephelus coioides. Acta Biochim. Biophys. Sin. 2005, 37, 327–334. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Nakao, N.; Tanaka, M.; Higashimoto, Y.; Nakashima, K. Molecular cloning, identification and characterization of four distinct receptor subtypes for insulin and IGF-I in Japanese flounder, Paralichthys olivaceus. J. Endocrinol. 2002, 173, 365–375. [Google Scholar] [CrossRef] [Green Version]
  26. García de la Serrana, D.; Macqueen, D.J. Insulin-like growth factor-binding proteins of teleost fishes. Front. Endocrinol. 2018, 9, 80. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Shimizu, M.; Dickhoff, W.W. Circulating insulin-like growth factor binding proteins in fish: Their identities and physiological regulation. Gen. Comp. Endocrinol. 2017, 252, 150–161. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. Jones, J.I.; Clemmons, D.R. Insulin-like growth factors and their binding proteins: Biological actions. Endocr. Rev. 1995, 16, 3–34. [Google Scholar] [CrossRef] [PubMed]
  29. Allard, J.B.; Duan, C. IGF-binding proteins: Why do they exist and why are there so many? Front. Endocrinol. 2018, 9, 117. [Google Scholar] [CrossRef] [Green Version]
  30. Bach, L.A. 40 years of IGF1: IGF-binding proteins. J. Mol. Endocrinol. 2018, 61, T11–T28. [Google Scholar] [CrossRef] [Green Version]
  31. Chen, W.; Zhang, Z.; Dong, H.; Yan, F. Insulin-like growth factor-binding protein-1 (IGFBP-1) in goldfish, Carassius auratus: Molecular cloning, tissue expression, and mRNA expression responses to periprandial changes and cadmium exposure. Fish Physiol. Biochem. 2016, 42, 1043–1052. [Google Scholar] [CrossRef]
  32. Chen, W.; Li, W.; Zhang, Z.; Jiang, X.; Li, M. Cloning, molecular characterization and expression analysis of insulin-like growth factor binding protein-2 (IGFBP-2) cDNA in goldfish, Carassius auratus. Fish Physiol. Biochem. 2014, 40, 1669–1681. [Google Scholar] [CrossRef]
  33. Isorna, E.; de Pedro, N.; Valenciano, A.I.; Alonso-Gómez, Á.L.; Delgado, M.J. Interplay between the endocrine and circadian systems in fishes. J. Endocrinol. 2017, 232, R141–R159. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Ayson, F.G.; Takemura, A. Daily expression patterns for mRNAs of GH, PRL, SL, IGF-I and IGF-II in juvenile rabbitfish, Siganus guttatus, during 24-h light and dark cycles. Gen. Comp. Endocrinol. 2006, 149, 261–268. [Google Scholar] [CrossRef]
  35. Costa, L.S.; Rosa, P.V.; Fortes-Silva, R.; Sánchez-Vázquez, F.J.; López-Olmeda, J.F. Daily rhythms of the expression of genes from the somatotropic axis: The influence on tilapia (Oreochromis niloticus) of feeding and growth hormone administration at different times. Comp. Biochem. Physiol. Part C Toxicol. Pharmacol. 2016, 181, 27–34. [Google Scholar] [CrossRef]
  36. López-Olmeda, J.F.; Pujante, I.M.; Costa, L.S.; Galal-Khallaf, A.; Mancera, J.M.; Sánchez-Vázquez, F.J. Daily rhythms in the somatotropic axis of Senegalese sole (Solea senegalensis): The time of day influences the response to GH administration. Chronobiol. Int. 2016, 33, 257–267. [Google Scholar] [CrossRef]
  37. Metón, I.; Caseras, A.; Cantó, E.; Fernández, F.; Baanante, I.V. Liver insulin-like growth factor-I mRNA is not affected by diet composition or ration size but shows diurnal variations in regularly-fed gilthead sea bream (Sparus aurata). J. Nutr. 2000, 130, 757–760. [Google Scholar] [CrossRef] [Green Version]
  38. Paredes, J.F.; López-Olmeda, J.F.; Martínez, F.J.; Sánchez-Vázquez, F.J. Daily rhythms of lipid metabolic gene expression in zebra fish liver: Response to light/dark and feeding cycles. Chronobiol. Int. 2015, 32, 1438–1448. [Google Scholar] [CrossRef]
  39. Galal-Khallaf, A.; Mohammed-Geba, K.; Yúfera, M.; Martínez-Rodríguez, G.; Mancera, J.M.; López-Olmeda, J.F. Daily rhythms in endocrine factors of the somatotropic axis and their receptors in gilthead sea bream (Sparus aurata) larvae. Comp. Biochem. Physiol. Part A Mol. Integr. Physiol. 2020, 250, 110793. [Google Scholar] [CrossRef] [PubMed]
  40. Feliciano, A.; Vivas, Y.; De Pedro, N.; Delgado, M.J.; Velarde, E.; Isorna, E. Feeding time synchronizes clock gene rhythmic expression in brain and liver of goldfish (Carassius auratus). J. Biol. Rhythms 2011, 26, 24–33. [Google Scholar] [CrossRef] [PubMed]
  41. Sánchez-Bretaño, A.; Alonso-Gómez, Á.L.; Delgado, M.J.; Isorna, E. The liver of goldfish as a component of the circadian system: Integrating a network of signals. Gen. Comp. Endocrinol. 2015, 221, 213–216. [Google Scholar] [CrossRef] [PubMed]
  42. Velarde, E.; Haque, R.; Iuvone, P.M.; Azpeleta, C.; Alonso-Gómez, Á.L.; Delgado, M.J. Circadian clock genes of goldfish, Carassius auratus: cDNA cloning and rhythmic expression of Period and Cryptochrome transcripts in retina, liver, and gut. J. Biol. Rhythms 2009, 24, 104–113. [Google Scholar] [CrossRef] [PubMed]
  43. Saiz, N.; Gómez-Boronat, M.; De Pedro, N.; Delgado, M.J.; Isorna, E. The lack of light-dark and feeding-fasting cycles alters temporal events in the goldfish (Carassius auratus) stress axis. Animals 2021, 11, 669. [Google Scholar] [CrossRef] [PubMed]
  44. Gómez-Boronat, M.; Sáiz, N.; Delgado, M.J.; de Pedro, N.; Isorna, E. Time-Lag in Feeding Schedule Acts as a Stressor That Alters Circadian Oscillators in Goldfish. Front. Physiol. 2018, 9, 1749. [Google Scholar] [CrossRef] [PubMed]
  45. Livak, K.J.; Schmittgen, T.D. Analysis of relative gene expression data using real-time quantitative PCR and the 2-ΔΔCT method. Methods 2001, 25, 402–408. [Google Scholar] [CrossRef] [PubMed]
  46. Delgado, M.J.; Alonso-Gómez, Á.L.; Gancedo, B.; De Pedro, N.; Valenciano, A.I.; Alonso-Bedate, M. Serotonin N-Acetyltransferase (NAT) activity and melatonin levels in the frog retina are not correlated during the seasonal cycle. Gen. Comp. Endocrinol. 1993, 92, 143–150. [Google Scholar] [CrossRef]
  47. Duggleby, R.G. A Nonlinear Regression Program for Small Computers. Anal. Biochem. 1981, 110, 9–18. [Google Scholar] [CrossRef] [PubMed]
  48. Duan, C.; Plisetskaya, E.M.M. Nutritional regulation of insulin-like growth factor-I mRNA expression in salmon tissues. J. Endocrinol. 1993, 139, 243–252. [Google Scholar] [CrossRef] [PubMed]
  49. Pierce, A.L.; Dickey, J.T.; Larsen, D.A.; Fukada, H.; Swanson, P.; Dickhoff, W.W. A quantitative real-time RT-PCR assay for salmon IGF-I mRNA, and its application in the study of GH regulation of IGF-I gene expression in primary culture of salmon hepatocytes. Gen. Comp. Endocrinol. 2004, 135, 401–411. [Google Scholar] [CrossRef]
  50. Caelers, A.; Berishvili, G.; Meli, M.L.; Eppler, E.; Reinecke, M. Establishment of a real-time RT-PCR for the determination of absolute amounts of IGF-I and IGF-II gene expression in liver and extrahepatic sites of the tilapia. Gen. Comp. Endocrinol. 2004, 137, 196–204. [Google Scholar] [CrossRef] [PubMed]
  51. Maures, T.; Chan, S.J.; Xu, B.; Sun, H.; Ding, J.; Duan, C. Structural, biochemical, and expression analysis of two distinct insulin-like growth factor I receptors and their ligands in zebrafish. Endocrinology 2002, 143, 1858–1871. [Google Scholar] [CrossRef] [PubMed]
  52. Vong, Q.P.; Chan, K.M.; Cheng, C.H.K. Quantification of common carp (Cyprinus carpio) IGF-I and IGF-II mRNA by real-time PCR: Differential regulation of expression by GH. J. Endocrinol. 2003, 178, 513–521. [Google Scholar] [CrossRef] [PubMed]
  53. Aegerter, S.; Jalabert, B.; Bobe, J. Messenger RNA Stockpile of Cyclin B, Insulin-Like Growth Factor I, Insulin-Like Growth Factor II, Insulin-Like Growth Factor Receptor Ib, and p53 in the Rainbow Trout Oocyte in Relation with Developmental Competence. Mol. Reprod. Dev. 2004, 67, 127–135. [Google Scholar] [CrossRef] [PubMed]
  54. Gu, W.; Yang, Y.; Ning, C.; Wang, Y.; Hu, J.; Zhang, M.; Kuang, S.; Sun, Y.; Li, Y.; Zhang, Y.; et al. Identification and characteristics of insulin-like growth factor system in the brain, liver, and gonad during development of a seasonal breeding teleost, Pampus argenteus. Gen. Comp. Endocrinol. 2021, 300, 113645. [Google Scholar] [CrossRef] [PubMed]
  55. Alzaid, A.; Martin, S.A.M.; Macqueen, D.J. The complete salmonid IGF-IR gene repertoire and its transcriptional response to disease. Sci. Rep. 2016, 6, 34806. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  56. LeRoith, D.; Werner, H.; Beitner-Johnson, D.; Roberts, C.T. Molecular and cellular aspects of the Insulin-like Growth Factor I Receptor. Endocr. Rev. 1995, 16, 143–163. [Google Scholar] [CrossRef]
  57. Mancera, J.M.; McCormick, S.D. Osmoregulatory actions of the GH/IGF axis in non-salmonid teleosts. Comp. Biochem. Physiol. B Biochem. Mol. Biol. 1998, 121, 43–48. [Google Scholar] [CrossRef]
  58. Macqueen, D.J.; Garcia De La Serrana, D.; Johnston, I.A. Evolution of ancient functions in the vertebrate insulin-like growth factor system uncovered by study of duplicated salmonid fish genomes. Mol. Biol. Evol. 2013, 30, 1060–1076. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  59. Kamei, H.; Lu, L.; Jiao, S.; Li, Y.; Gyrup, C.; Laursen, L.S.; Oxvig, C.; Zhou, J.; Duan, C. Duplication and diversification of the hypoxia-inducible IGFBP-1 gene in Zebrafish. PLoS ONE 2008, 3, e3091. [Google Scholar] [CrossRef] [Green Version]
  60. Gómez-Boronat, M.; De Pedro, N.; Alonso-Gómez, Á.L.; Delgado, M.J.; Isorna, E. Nuclear Receptors (PPARs, REV-ERBs, RORs) and Clock Gene Rhythms in Goldfish (Carassius auratus) Are Differently Regulated in Hypothalamus and Liver. Front. Physiol. 2022, 13, 903799. [Google Scholar] [CrossRef] [PubMed]
  61. Pérez, L.; Ortiz-Delgado, J.B.; Manchado, M. Molecular characterization and transcriptional regulation by GH and GnRH of insulin-like growth factors I and II in white seabream (Diplodus sargus). Gene 2016, 578, 251–262. [Google Scholar] [CrossRef] [PubMed]
  62. Vong, Q.P.; Chan, K.M.; Leung, K.; Cheng, C.H.K. Common carp insulin-like growth factor-I gene: Complete nucleotide sequence and functional characterization of the 5′-flanking region. Gene 2003, 322, 145–156. [Google Scholar] [CrossRef] [PubMed]
  63. Bozek, K.; Relógio, A.; Kielbasa, S.M.; Heine, M.; Dame, C.; Kramer, A.; Herzel, H. Regulation of Clock-Controlled Genes in Mammals. PLoS ONE 2009, 4, e4882. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  64. Nisembaum, L.G.; Velarde, E.; Tinoco, A.B.; Azpeleta, C.; De Pedro, N.; Alonso-Gómez, A.L.; Delgado, M.J.; Isorna, E. Light-dark cycle and feeding time differentially entrains the gut molecular clock of the goldfish (Carassius auratus). Chronobiol. Int. 2012, 29, 665–673. [Google Scholar] [CrossRef] [PubMed]
  65. Fu, X.; Zou, Z.; Zhu, J.; Xiao, W.; Li, D.; Yu, J.; Chen, B. Effects of different photoperiods on growth performance, daily rhythm of growth axis-related genes, and hormones in Nile tilapia (Oreochromis niloticus). Aquaculture 2022, 553, 738071. [Google Scholar] [CrossRef]
  66. Amaral, I.P.G.; Johnston, I.A. Circadian expression of clock and putative clock-controlled genes in skeletal muscle of the zebrafish. Am. J. Physiol. Regul. Integr. Comp. Physiol. 2012, 302, R193–R206. [Google Scholar] [CrossRef] [PubMed]
  67. Vera, L.M.; Negrini, P.; Zagatti, C.; Frigato, E.; Sánchez-Vázquez, F.J.; Bertolucci, C. Light and feeding entrainment of the molecular circadian clock in a marine teleost (Sparus aurata). Chronobiol. Int. 2013, 30, 649–661. [Google Scholar] [CrossRef] [PubMed]
  68. López-Olmeda, J.F.; Tartaglione, E.V.; De La Iglesia, H.O.; Sánchez-Vázquez, F.J. Feeding entrainment of food-anticipatory activity and per1 expression in the brain and liver of zebrafish under different lighting and feeding conditions. Chronobiol. Int. 2010, 27, 1380–1400. [Google Scholar] [CrossRef] [PubMed]
  69. Breves, J.P.; Tipsmark, C.K.; Stough, B.A.; Seale, A.P.; Flack, B.R.; Moorman, B.P.; Lerner, D.T.; Grau, E.G. Nutritional status and growth hormone regulate insulin-like growth factor binding protein (igfbp) transcripts in Mozambique tilapia. Gen. Comp. Endocrinol. 2014, 207, 66–73. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  70. Breves, J.P.; Phipps-Costin, S.K.; Fujimoto, C.K.; Einarsdottir, I.E.; Regish, A.M.; Björnsson, B.T.; McCormick, S.D. Hepatic insulin-like growth-factor binding protein (igfbp) responses to food restriction in Atlantic salmon smolts. Gen. Comp. Endocrinol. 2016, 233, 79–87. [Google Scholar] [CrossRef]
  71. Strobel, J.S.; Hack, N.L.; Label, K.T.; Cordova, K.L.; Bersin, T.V.; Journey, M.L.; Beckman, B.R.; Lema, S.C. Effects of food deprivation on plasma insulin-like growth factor-1 (Igf1) and Igf binding protein (Igfbp) gene transcription in juvenile cabezon (Scorpaenichthys marmoratus). Gen. Comp. Endocrinol. 2020, 286, 113319. [Google Scholar] [CrossRef] [PubMed]
  72. Reinecke, M. Influences of the environment on the endocrine and paracrine fish growth hormone-insulin-like growth factor-I system. J. Fish Biol. 2010, 76, 1233–1254. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Tissue distribution of the IGF-1 system in peripheral tissues of goldfish. Relative expression of (A) igf-1, (B) igf1ra, (C) igf1rb, (D) the four paralogs (a-a, a-b, b-a, b-b) of igfbp1 and igfbp2 in the liver. Data are expressed as mean ± s.e.m. (n = 6) relative to the posterior intestine (igf-1, igf1ra and igf1rb). Different letters indicate statistical differences among tissues or subtypes. Interrenal gland (IG), gill (GILL), heart (HEA), esophagus (OES), intestinal bulb (IB), anterior intestine (AI), middle intestine (MI), posterior intestine (PI), spleen (SPL), liver (LIV), adipose tissue (ADT), kidney (KID), gonad (GON), skin (SKIN), muscle (MUS).
Figure 1. Tissue distribution of the IGF-1 system in peripheral tissues of goldfish. Relative expression of (A) igf-1, (B) igf1ra, (C) igf1rb, (D) the four paralogs (a-a, a-b, b-a, b-b) of igfbp1 and igfbp2 in the liver. Data are expressed as mean ± s.e.m. (n = 6) relative to the posterior intestine (igf-1, igf1ra and igf1rb). Different letters indicate statistical differences among tissues or subtypes. Interrenal gland (IG), gill (GILL), heart (HEA), esophagus (OES), intestinal bulb (IB), anterior intestine (AI), middle intestine (MI), posterior intestine (PI), spleen (SPL), liver (LIV), adipose tissue (ADT), kidney (KID), gonad (GON), skin (SKIN), muscle (MUS).
Animals 12 03371 g001
Figure 2. Daily variations of igf-1 expression in the liver of goldfish. (A) standard conditions group (12L:12D photoperiod, feeding time at ZT2); (B) 24D group (24 h darkness, feeding time at CT2); (C) random feeding group (12L:12D photoperiod, randomly fed). Data are expressed as mean ± s.e.m. (n = 7/sampling time). Different letters indicate statistical differences among sampling times (ANOVA). Sinusoidal waves represent significant rhythm by cosinor analysis. Dashed lines represent significant differences among sampling points by ANOVA. Black arrows indicate feeding time. The white arrow indicates the time of the last feeding. The dark period is represented in grey. Parameters defining the rhythms (A: amplitude, ϕ: acrophase).
Figure 2. Daily variations of igf-1 expression in the liver of goldfish. (A) standard conditions group (12L:12D photoperiod, feeding time at ZT2); (B) 24D group (24 h darkness, feeding time at CT2); (C) random feeding group (12L:12D photoperiod, randomly fed). Data are expressed as mean ± s.e.m. (n = 7/sampling time). Different letters indicate statistical differences among sampling times (ANOVA). Sinusoidal waves represent significant rhythm by cosinor analysis. Dashed lines represent significant differences among sampling points by ANOVA. Black arrows indicate feeding time. The white arrow indicates the time of the last feeding. The dark period is represented in grey. Parameters defining the rhythms (A: amplitude, ϕ: acrophase).
Animals 12 03371 g002
Figure 3. Daily variations of igfbp1a-b (A,C,E) and igfbp1b-a (B,D,F) expression in the liver of goldfish. (A,B) Standard conditions group (12L:12D photoperiod, feeding time at ZT2); (C,D) 24D group (24 h darkness, feeding time at CT2); (E,F) random feeding group (12L:12D photoperiod, randomly fed). Data are expressed as mean ± s.e.m. (n = 7/sampling time). Different letters indicate statistical differences among sampling times (ANOVA). Sinusoidal waves represent significant rhythms by cosinor analysis. Dashed lines represent significant differences among sampling points by ANOVA. Black arrows indicate feeding time. White arrows indicate the time of the last feeding. The dark period is represented in grey. Parameters defining the rhythms (A: amplitude, ϕ: acrophase).
Figure 3. Daily variations of igfbp1a-b (A,C,E) and igfbp1b-a (B,D,F) expression in the liver of goldfish. (A,B) Standard conditions group (12L:12D photoperiod, feeding time at ZT2); (C,D) 24D group (24 h darkness, feeding time at CT2); (E,F) random feeding group (12L:12D photoperiod, randomly fed). Data are expressed as mean ± s.e.m. (n = 7/sampling time). Different letters indicate statistical differences among sampling times (ANOVA). Sinusoidal waves represent significant rhythms by cosinor analysis. Dashed lines represent significant differences among sampling points by ANOVA. Black arrows indicate feeding time. White arrows indicate the time of the last feeding. The dark period is represented in grey. Parameters defining the rhythms (A: amplitude, ϕ: acrophase).
Animals 12 03371 g003
Figure 4. Daily variations of igf1ra (A,C,E) and igf1rb (B,D,F) expression in the liver of goldfish. (A,B) Standard conditions group (12L:12D photoperiod, feeding time at ZT2); (C,D) 24D group (24 h darkness, feeding time at CT2); (E,F) random feeding group (12L:12D photoperiod, randomly fed). Data are expressed as mean ± s.e.m. (n = 7/sampling time). Different letters indicate statistical differences among sampling times (ANOVA). Dashed lines represent significant differences among sampling points by ANOVA. Black arrows indicate feeding time. White arrows indicate the time of the last feeding. The dark period is represented in grey.
Figure 4. Daily variations of igf1ra (A,C,E) and igf1rb (B,D,F) expression in the liver of goldfish. (A,B) Standard conditions group (12L:12D photoperiod, feeding time at ZT2); (C,D) 24D group (24 h darkness, feeding time at CT2); (E,F) random feeding group (12L:12D photoperiod, randomly fed). Data are expressed as mean ± s.e.m. (n = 7/sampling time). Different letters indicate statistical differences among sampling times (ANOVA). Dashed lines represent significant differences among sampling points by ANOVA. Black arrows indicate feeding time. White arrows indicate the time of the last feeding. The dark period is represented in grey.
Animals 12 03371 g004
Figure 5. Effect of a shifted mealtime on the daily expression of igf-1 in the liver of goldfish. (A) ML group (fish fed at the mid-photophase, ZT6). (B) MD group (fish fed at mid-scotophase, ZT18). Data are expressed as mean ± s.e.m. (n = 6/sampling time). Different letters indicate statistical differences among sampling times (ANOVA). Sinusoidal waves represent significant rhythms by Cosinor analysis. Dashed lines represent significant differences among sampling points by ANOVA. Black arrows indicate feeding time. The dark period is represented in grey. Parameters defining the rhythms (A: amplitude, ϕ: acrophase).
Figure 5. Effect of a shifted mealtime on the daily expression of igf-1 in the liver of goldfish. (A) ML group (fish fed at the mid-photophase, ZT6). (B) MD group (fish fed at mid-scotophase, ZT18). Data are expressed as mean ± s.e.m. (n = 6/sampling time). Different letters indicate statistical differences among sampling times (ANOVA). Sinusoidal waves represent significant rhythms by Cosinor analysis. Dashed lines represent significant differences among sampling points by ANOVA. Black arrows indicate feeding time. The dark period is represented in grey. Parameters defining the rhythms (A: amplitude, ϕ: acrophase).
Animals 12 03371 g005
Figure 6. Effect of a shifted mealtime on the daily expression of igfbp1 paralogs in the liver of goldfish. (A,B) igfbp1a-a; (C,D) igfbp1a-b; (E,F) igfbp1b-b; (G,H) igfbp1b-a. On the right (A,C,E), fish fed at mid-photophase, ZT6); on the left (B,D,F), fish fed at mid-scotophase, ZT18). Data are expressed as mean ± s.e.m. (n = 7/sampling time). Different letters indicate statistical differences among sampling points (ANOVA). Sinusoidal curves represent significant rhythms by Cosinor analysis. Dashed lines represent significant differences among sampling points by ANOVA. Black arrows indicate feeding time. The dark period is represented in grey.
Figure 6. Effect of a shifted mealtime on the daily expression of igfbp1 paralogs in the liver of goldfish. (A,B) igfbp1a-a; (C,D) igfbp1a-b; (E,F) igfbp1b-b; (G,H) igfbp1b-a. On the right (A,C,E), fish fed at mid-photophase, ZT6); on the left (B,D,F), fish fed at mid-scotophase, ZT18). Data are expressed as mean ± s.e.m. (n = 7/sampling time). Different letters indicate statistical differences among sampling points (ANOVA). Sinusoidal curves represent significant rhythms by Cosinor analysis. Dashed lines represent significant differences among sampling points by ANOVA. Black arrows indicate feeding time. The dark period is represented in grey.
Animals 12 03371 g006
Figure 7. Effect of a shifted mealtime on the daily expression of igfbp2 paralogs in the liver of goldfish. (A,B) igfbp2a-a; (C,D) igfbp2a-b; (E,F) igfbp2b-b; (G,H) igfbp2b-a. On the right (A,C,E), fish fed at mid-photophase, ZT6); on the left (B,D,F), fish fed at mid-scotophase, ZT18. Data are expressed as mean ± s.e.m. (n = 7/sampling time). Different letters indicate statistical differences among sampling points (ANOVA). Dashed lines represent significant differences among sampling points by ANOVA. Black arrows indicate feeding time. The dark period is represented in grey.
Figure 7. Effect of a shifted mealtime on the daily expression of igfbp2 paralogs in the liver of goldfish. (A,B) igfbp2a-a; (C,D) igfbp2a-b; (E,F) igfbp2b-b; (G,H) igfbp2b-a. On the right (A,C,E), fish fed at mid-photophase, ZT6); on the left (B,D,F), fish fed at mid-scotophase, ZT18. Data are expressed as mean ± s.e.m. (n = 7/sampling time). Different letters indicate statistical differences among sampling points (ANOVA). Dashed lines represent significant differences among sampling points by ANOVA. Black arrows indicate feeding time. The dark period is represented in grey.
Animals 12 03371 g007
Figure 8. Polar representations of cosinor-derived rhythmic parameters of igf-1 (A), igfbp1a-b (B) and igfbp1b-b (C) gene expressions under the different experimental conditions. Amplitude and acrophase are represented by a single vector starting from the center. The length of the vector (radial axis) indicates the magnitude of the amplitude (fold change of relative expression,) and the phase angle of the vector represents the acrophase (ϕ, ZT, Zeitgeber Time). The ellipse at the tip of the vector represents the confidence limits for the amplitude-acrophase pair. SC: Standard conditions, RF: random feeding, 24D: total darkness, ML: fish fed at mid-light, MD: fish fed at midnight.
Figure 8. Polar representations of cosinor-derived rhythmic parameters of igf-1 (A), igfbp1a-b (B) and igfbp1b-b (C) gene expressions under the different experimental conditions. Amplitude and acrophase are represented by a single vector starting from the center. The length of the vector (radial axis) indicates the magnitude of the amplitude (fold change of relative expression,) and the phase angle of the vector represents the acrophase (ϕ, ZT, Zeitgeber Time). The ellipse at the tip of the vector represents the confidence limits for the amplitude-acrophase pair. SC: Standard conditions, RF: random feeding, 24D: total darkness, ML: fish fed at mid-light, MD: fish fed at midnight.
Animals 12 03371 g008
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Alonso-Gómez, A.; Madera, D.; Alonso-Gómez, Á.L.; Valenciano, A.I.; Delgado, M.J. Daily Rhythms in the IGF-1 System in the Liver of Goldfish and Their Synchronization to Light/Dark Cycle and Feeding Time. Animals 2022, 12, 3371. https://doi.org/10.3390/ani12233371

AMA Style

Alonso-Gómez A, Madera D, Alonso-Gómez ÁL, Valenciano AI, Delgado MJ. Daily Rhythms in the IGF-1 System in the Liver of Goldfish and Their Synchronization to Light/Dark Cycle and Feeding Time. Animals. 2022; 12(23):3371. https://doi.org/10.3390/ani12233371

Chicago/Turabian Style

Alonso-Gómez, Aitana, Diego Madera, Ángel Luis Alonso-Gómez, Ana Isabel Valenciano, and María Jesús Delgado. 2022. "Daily Rhythms in the IGF-1 System in the Liver of Goldfish and Their Synchronization to Light/Dark Cycle and Feeding Time" Animals 12, no. 23: 3371. https://doi.org/10.3390/ani12233371

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop