| Literature DB >> 35454119 |
José Luis Trillo-Contreras1,2, Reposo Ramírez-Lorca1,2, Javier Villadiego1,2,3, Miriam Echevarría1,2.
Abstract
Brain aquaporins facilitate the movement of water between the four water compartments: blood, cerebrospinal fluid, interstitial fluid, and intracellular fluid. This work analyzes the expression of the four most abundant aquaporins (AQPs) (AQP1, AQP4, AQP9, and AQP11) in the brains of mice and discuss their contribution to hydrocephalus. We analyzed available data from single-cell RNA sequencing of the central nervous system of mice to describe the expression of aquaporins and compare their distribution with that based on qPCR, western blot, and immunohistochemistry assays. Expression of AQP1 in the apical cell membrane of choroid plexus epithelial cells and of AQP4 in ependymal cells, glia limitans, and astrocyte processes in the pericapillary end foot is consistent with the involvement of both proteins in cerebrospinal fluid homeostasis. The expression of both aquaporins compensates for experimentally induced hydrocephalus in the animals. Recent data demonstrate that hypoxia in aged animals alters AQP4 expression in the choroidal plexus and cortex, increasing the ventricle size and intraventricular pressure. Cerebral distensibility is reduced in parallel with a reduction in cerebrospinal fluid drainage and cognitive deterioration. We propose that aged mice chronically exposed to hypoxia represent an excellent experimental model for studying the pathophysiological characteristics of idiopathic normal pressure hydrocephalus and roles for AQPs in such disease.Entities:
Keywords: aging; aquaporins; cerebrospinal fluid; choroid plexus; ependyma; hydrocephalus; hypoxia; sequencing; single-cell RNA
Mesh:
Substances:
Year: 2022 PMID: 35454119 PMCID: PMC9025855 DOI: 10.3390/biom12040530
Source DB: PubMed Journal: Biomolecules ISSN: 2218-273X
Figure 1Phylogenetic tree of human aquaporins and other known aquaporins. The 13 aquaporins known to date in humans are represented, according to the homology in their amino acid sequence for each member of the family, differentiating between “strict” aquaporins (water aquaporins, at the bottom) and aquaglyceroporins (at the top). Superaquaporins, the last aquaporins identified in mammals are also shown and are the most distant in their amino acid sequence homology from the two groups mentioned above but are closer to the aquaporins expressed in species of intracellular parasites such as Trypanosoma cruzi (TcAQP) and of nematodes such as Caenorhabditis elegans and Caenorhabditis briggsae. The tree also shows certain bacterial aquaporins such as GlpF, a facilitator of the passage of glycerol, which are similar in their sequence to the aquaglyceroporins, and AQPZ from E. coli, as well as the aquaporin from methanogen archaea, AQPM from Methanothermobacter marburgensis and the plant aquaporins from Arabidopsis thaliana (small basic intrinsic protein [SIP] and plasma membrane intrinsic protein [PIP], respectively). Modified from Gorelick et al., 2006 [17].
Distribution of aquaporins in humans and the diseases associated with their dysfunction or absence. Modified from Verkman et al., 2014. [28].
| Protein | Tissue Expression | Associated Diseases | Functions | References |
|---|---|---|---|---|
| AQP0 | Fiber cells of the crystalline lens | Congenital cataracts | Cell adhesion | Verkman et al., 2002 [ |
| AQP1 | Erythrocytes, eye, choroid plexuses, kidneys, heart, lungs, vascular endothelium, skin, gastrointestinal tract, salivary gland, liver, testes, ovaries, and uterus, among others | Pulmonary, cerebral and peripheral edema, glaucoma, skin cancer | Urinary concentration, migration, proliferation | Ma et al., 1998 [ |
| AQP2 | Renal collecting duct, ears, ductus deferens | Nephrogenic diabetes insipidus | ADH-Hormone dependent water reabsorption | Deen et al., 1994 [ |
| AQP3 | Kidneys, leukocytes, erythrocytes, skin, eyes, respiratory tract, gastrointestinal tract, ovaries | Skin and breast cancer | Sweating and skin elasticity. Glycerol homeostasis. | Echevarría et al., 1994; |
| AQP4 | Brain, retinas, salivary and lacrimal glands, olfactory and auditory epithelium, gastrointestinal tract, kidneys, lungs, and skeletal muscle | Cerebral edema, deafness, anosmia | Control of brain water balance | Manley et al., 2000; Jarius et al., 2010 [ |
| AQP5 | Epithelia of lacrimal, sweat, and salivary glands, alveolar, bronchial, and tracheal mucosa, ovaries, kidneys, and skin | Bronchial asthma, chronic bronchitis, Sjögren’s syndrome, palmoplantar keratoderma | Absorption and secretion of water in pulmonary and salivary mucosa | Tsubota et al., 2001 [ |
| AQP6 | Intracellular vesicles of the renal collector tubule and brain | Unidentified | Unidentified | Yasui et al., 1999 [ |
| AQP7 | Adipose tissue, carotid body, testes, kidneys, heart, skeletal muscle, and ovaries | Hyperglycemia, platelet defect, obesity, inflammation | Lipid metabolism from adipocytes | Skowronki et al., 2007; Muñoz-Cabello et al., 2010 [ |
| AQP8 | Liver, pancreas, gastrointestinal tract, salivary glands, kidneys, lungs and trachea, testes, and ovaries | Cancer | Bile production | Huebert et al., 2002; Saparov et al., 2007 [ |
| AQP9 | Liver, leukocytes, erythrocytes, testes, ovaries, brain, kidneys, and spleen | Hyperglycemia | Hepatic lipid metabolism | Amiry-Moghaddam et al., |
| AQP10 | Small intestine, specifically in the duodenum and jejunum | Psoriasis, skin dermatitis | Lipid metabolism | Ishibashi et al., 2002 [ |
| AQP11 | Testes, heart, kidneys, ovaries, muscles, gastrointestinal tract, leukocytes, liver, brain | Obesity and Inflammation | RE stress | Morishita et al., 2005; Koike et al., 2016 [ |
| AQP12 | Acinar cells of the pancreas | Inflammation | Pancreatic function | Boone and Deen., |
Figure 2Molecular study of the mouse nervous system using single-cell RNA sequencing technology. The 265 distinct cell clusters identified based on the analysis of 160,796 transcriptomes of the mouse nervous system: brain, spinal cord, dorsal and peripheral sympathetic ganglia, and enteric nervous system are represented and classified in the tree diagrams; (A) Tree diagram for Neuron clusters, and (B) Tree diagram for non-neuron clusters. The represented dendrogram has been constructed using the digital resource (http://mousebrain.org; accessed on 23 October 2019); prepared in the laboratory of Sten Linnarsson, obtained from Zeisel et al. (2018) [81], and shows the relationship between cell types and the gene expression of AQP1, AQP4, AQP9, and AQP11. The color-graded bands at the bottom of the figure show the expression pattern of each gene in the 265 identified cell types. Each band represents the relative expression of a transcript in a cell type with respect to the maximum expression detected for that same transcript in any cell type. Given that they are relative data, the richness of expression of the different transcripts cannot be compared with each other, but they do help locate where the expression occurs. Thus, AQP4 and AQP9 appear to show a very similar expression pattern, clearly predominant in the astroependymal line, although their expression levels are very different. AQP1 expression is well defined in the dorsal ganglia and ependymal cells of the choroid plexus and contrasts with the high delocalization of AQP11. The data on absolute expression are represented in Table 2.
Gene expression pattern of brain aquaporins according to cell type analysis using single-cell RNA sequencing technology. Each row represents a cell type and the expression richness of the AQP1, AQP4, AQP9 and AQP11 genes in that cluster. The pattern is based on the calculation of the frequency of expression in a cell population, using a binomial β-Bayesian model (trinarization) of the raw data of the expression of each gene in each cell of all clusters. Therefore, the values represented are defined as the frequency of gene expression in a percentage of cells in that cluster. Values > 0.2 are considered positive, with an expression error <0.05. The data presented in the table were obtained with the digital resource (http://mousebrain.org; accesed on 23 October 2019) from Zeisel et al., 2018 [81]. #, represents a specific cell cluster, out of the 265 distinct cell clusters identified.
| Index Cluster # | Name | Description Cell Types | Gene Expression | |||
|---|---|---|---|---|---|---|
|
|
|
|
| |||
| 7 | TEGLU10 | Excitatory neurons, cerebral cortex | - | 0.02 | - |
|
| 9 | TEGLU8 | Excitatory neurons, cerebral cortex | - | 0.01 | - |
|
| 14 | TEGLU5 | Excitatory neurons, cerebral cortex | - | 0.06 | - |
|
| 15 | TEGLU16 | Excitatory neurons, cerebral cortex | - | 0.08 | - |
|
| 16 | TEGLU15 | Excitatory neurons, cerebral cortex | - | 0.05 | - |
|
| 17 | TEGLU17 | Excitatory neurons, cerebral cortex | - | 0.02 | - |
|
| 21 | TEGLU21 | Excitatory neurons, hippocampus CA1 | - | 0.02 | - |
|
| 24 | TEGLU23 | Excitatory neurons, hippocampus CA3 | - | 0.01 | - |
|
| 57 | TEINH13 | Trilaminar cells, hippocampus | - | 0.02 | - |
|
| 69 | HBCHO4 | Afferent nuclei of cranial nerves III-V |
| 0.10 | - |
|
| 73 | HYPEP7 | Pmch neurons, hypothalamus | - | - | - |
|
| 77 | MBDOP2 | Dopaminergic neurons, ventral midbrain (SNc, VTA) | 0.03 | 0.02 | 0.01 | 0.06 |
| 131 | MEGLU6 | Excitatory neurons, midbrain | - | 0.05 | - |
|
| 160 | HBINH2 | Inhibitory neurons, hindbrain | - |
| - |
|
| 161 | HBCHO1 | Cholinergic neurons, hindbrain | 0.10 | 0.10 | - |
|
| 162 | HBCHO2 | Cholinergic neurons, hindbrain | - | 0.05 | - |
|
| 165 | HBGLU6 | Excitatory neurons, hindbrain | - | 0.04 | - |
|
| 167 | HBGLU8 | Excitatory neurons, hindbrain | - | 0.09 | - |
|
| 185 | ENT4 | Cholinergic enteric neurons |
| 0.01 | - | 0.01 |
| 186 | ENT5 | Cholinergic enteric neurons |
| - | - | 0.03 |
| 188 | ENT7 | Cholinergic enteric neurons, VGLUT2 | 0.03 | - | - |
|
| 194 | SYNOR4 | Noradrenergic erector muscle neurons |
| - | - |
|
| 195 | SYNOR5 | Noradrenergic erector muscle neurons |
| - | - | 0.02 |
| 200 | PSPEP6 | Peptidergic (TrpM8), DRG |
| - | - | 0.07 |
| 201 | PSPEP5 | Peptidergic (PEP1.2), DRG |
| - | - | 0.10 |
| 202 | PSPEP2 | Peptidergic (PEP1.3), DRG |
| 0.03 | - |
|
| 203 | PSPEP4 | Peptidergic (PEP1.1), DRG |
| - | - | 0.04 |
| 204 | PSPEP3 | Peptidergic (PEP1.4), DRG |
| 0.01 | 0.01 | 0.14 |
| 205 | PSPEP1 | Peptidergicv (PEP2), DRG |
| 0.01 | - |
|
| 206 | PSNF3 | Neurofilament (NF2/3), DRG | 0.03 | 0.03 | - |
|
| 209 | PSNP1 | Non-peptidergic (TH), DRG |
| 0.02 | - | 0.07 |
| 210 | PSNP2 | Non-peptidergic (NP1.1), DRG |
| - | - |
|
| 211 | PSNP3 | Non-peptidergic (NP1.2), DRG |
| 0.01 | - |
|
| 212 | PSNP4 | Non-peptidergic (NP2.1), DRG |
| - | - | 0.11 |
| 214 | PSNP6 | Non-peptidergic (NP3), DRG |
| 0.03 | - |
|
| 224 | CHOR | Chorid plexus epithelial cells |
| 0.05 | - | 0.07 |
| 227 | EPEN | Ependymal cells | - |
| 0.01 | 0.03 |
| 228 | EPMB | Ependymal cells, midbrain | - |
| 0.01 | 0.04 |
| 230 | RGSZ | Subventricular zone radial glia-like cells | - |
| 0.02 | 0.01 |
| 231 | ACTE1 | Telencephalon astrocytes, fibrous | - |
| 0.03 | 0.04 |
| 232 | ACTE2 | Telencephalon astrocytes, protoplasmic | - |
| 0.04 | 0.04 |
| 233 | ACOB | Olfactory astrocytes | - |
| 0.04 | 0.12 |
| 234 | ACNT1 | Non-telencephalon astrocytes, protoplasmic | - |
| 0.03 | 0.03 |
| 235 | ACNT2 | Non-telencephalon astrocytes, fibrous | - |
| 0.02 | 0.04 |
| 236 | ACMB | Dorsal midbrain Myoc-expressing astrocyte-like | - |
| 0.04 | 0.07 |
| 237 | ACBG | Bergmann glia | - |
| 0.04 | 0.01 |
| 254 | VECA | Vascular endothelial cells, arterial | - | 0.02 | - |
|
| 257 | PER1 | Pericytes | - | 0.01 | - |
|
| 260 | VECV | Vascular endothelial cells, venous | - | 0.01 | - |
|
Figure 3AQP1 and AQP4 expression in the choroid plexus of mice exposed to hypoxia: (A) The AQP mRNA expression in the choroid plexus (Plx) of mice exposed to hypoxia (10% O2, 48 h) and normoxic controls was analyzed by qPCR. 18S ribosomal RNA was used as the housekeeping gene for normalization (modified from Trillo et al., 2018 [115]). (B) AQP1 and AQP4 immunofluorescence images of the choroid plexus obtained from mice exposed to normoxia or hypoxia (10% O2; 48 h). AQP4 expression is notably higher after the hypoxic treatment. (C) Quantification by optical density of AQP1 and AQP4 expression in the choroid plexus tissue (Modified from Trillo et al., 2018 [115]) (* p < 0.05; *** p < 0.001).