Skip to main content

HYPOTHESIS AND THEORY article

Front. Mol. Biosci., 12 May 2016
Sec. Molecular Diagnostics and Therapeutics
This article is part of the Research Topic Molecular Diagnostics in the Detection of Neurodegenerative Disorders View all 10 articles

Dehydration and Cognition in Geriatrics: A Hydromolecular Hypothesis

\r\nAdonis Sfera,*Adonis Sfera1,2*Michael Cummings*Michael Cummings2*Carolina OsorioCarolina Osorio1
  • 1Department of Psychiatry, Loma Linda University, Loma Linda, USA
  • 2Patton State Hospital, Patton, USA

Dehydration is one of the ten most frequent diagnoses responsible for the hospital admission of elderly in the United States. It is associated with increased mortality, morbidity and an estimated cost of 1.14 billion per year (Xiao et al., 2004; Schlanger et al., 2010; Pretorius et al., 2013; Frangeskou et al., 2015). Older individuals are predisposed to dehydration encephalopathy as a result of decreased total body water (TBW) and diminished sensation of thirst. We hypothesize that thirst blunting in older individuals is the result of a defective microRNA-6842-3p failing to silence the expression of the vesicular GABA transporters (VGAT) and alpha 7 cholinergic nicotinic receptors in the subfornical organ (SFO) of the hypothalamus. We hypothesize further that resultant dehydration facilitates protein misfolding and aggregation, predisposing to neurocognitive disorders. We completed a search of predicted microRNA targets, utilizing the public domain tool miRDB and found that microRNA-6842-3p modulates the SLC6A1 and CHRNA7 genes both of which were previously hypothesized to inhibit the thirst sensation by their action on SFO. The primary aim of this article is to answer two questions: Can prevention and correction of dehydration in elderly lower age-related cognitive deterioration? Can exosomal miR-6842 in the peripheral blood predict dehydration encephalopathy in elderly?

Hydration and Cognition

Dehydration is one of the most common medical problems in seniors diagnosed in 6.7% of hospitalized patients over the age of 65 (Warren et al., 1994). It leads to poor outcomes and increased health care expenditures. Novel studies reveal that if not prevented or treated promptly, dehydration results in longer intensive care unit (ICU) stay, higher hospital readmission rates and placement in long term facilities (Xiao et al., 2004; Frangeskou et al., 2015). On the other hand, preventing dehydration not only reduces healthcare expenditures, but also improves outcomes and the elderly patients' quality of life.

Dehydration is a contributing factor for delirium, a neurobehavioral syndrome recently demonstrated to be a strong risk factor for dementia (Inouye, 1998; Davis et al., 2012). It is therefore crucial to recognize and diagnose dehydration quickly, however at the present time there are no specific biological markers for this condition. Clinical signs, plasma osmolality and urine markers have poor specificity in elderly (George and Rockwood, 2004). For this reason potential epigenetic markers such as microRNA-6842-3p obtained from peripheral blood exosomes may contribute not only to early diagnosis, but also to prevention of dehydration.

Water is an essential body nutrient and its homeostasis is crucial for life. Early in the evolution, marine animals were surrounded by water, but survival on dry land required built-in, “portable” water (Warren et al., 1994). In humans, the muscle tissue is a genuine fluid reservoir, carrying over 80% of TBW (George and Rockwood, 2004).

The brain, in spite of being a highly lipophilic organ consists of 80% water (Tait et al., 2008). Most of the CNS intracellular water is stored in astrocytes. These cells are characterized by high aquaporin (AQP) expression which makes them four times more permeable to water than other brain cells, therefore true “brain cisterns” for times of water scarcity (Thrane et al., 2014). With the same token, because of their high AQP content, astrocytes are prone to pathological water retention and swelling. Novel studies demonstrate that astrocytes respond to peripheral dehydration by up-regulation of AQP-4 proteins on their end-feet processes probably in order to preserve water. For example, preclinical studies demonstrate that a hyperosmotic milieu induces AQP expression in astrocytes (Yang et al., 2013).

Overexpression of AQP-4 channels and augmented water intake transforms these cells into genuine “sponges” resulting in extracellular dehydration, extracellular space (ECS) hypovolemia. If severe enough this condition may turn into a medical emergency, dehydration encephalopathy or delirium.

The process of aging seems to undo the evolutionary advantage of “portable water” as elderly individuals are known to lose their fluid reservoirs by age-related decrease in both muscle mass and astrocyte density. For example, dehydration was demonstrated to accelerate the progression of AD which is also known to be associated with loss of astrocytes (Ogawa et al., 2011; Reyes-Haro et al., 2015; Rodríguez-Arellano et al., 2016).

It is well known that aging is associated with reduced acetylcholine (ACh) in the brain, but it is perhaps less emphasized that aging contributes to down-regulation of alpha7 nicotinic acetylcholine receptors (alpha7nAChR) (Utsugisawa et al., 1999; Akhmedov et al., 2013), rendering the CNS less responsive to ACh. This is significant for the sensation of thirst which is physiologically activated by ACh. Lower cholinergic activation predisposes to inflammation which is also involved in cognitive impairment. We discussed inflammation in the aging brain elsewhere and this subject will not be brought here (Sfera and Osorio, 2014). The alpha7nAChR are encoded by CHRNA7 gene which is subject to microRNA epigenetic regulation, including miR-6842.

Concerning the relationship between dehydration and impaired cognition nutrition studies demonstrate that a loss of only 1–2% of TBW may result in impaired cognitive performance; in elderly this percentage was shown to be even lower (Han and Wilber, 2013; Riebl and Davy, 2013). Furthermore, the link between hydration and cognition can be demonstrated by the neurocognitive disorders associated with up-regulation of AQP-4 expression primarily on asyrocytic end-feet (Table 1).

TABLE 1
www.frontiersin.org

Table 1. Disorders associated with cognitive deficit and AQP-4 up-regulation.

Novel studies demonstrate that both dehydration and aging were associated with AQP-4 up-regulation, therefore it should not come as a surprise that aging and water loss go hand in hand (Trinh-Trang-Tan et al., 2003). Interestingly, several amyloid-binding, neuroprotective compounds were demonstrated to down-regulate AQP-4 expression, further demonstrating the role of water in amyloid pathology (Table 2).

TABLE 2
www.frontiersin.org

Table 2. Neuroprotective compounds associated with AQP-4 down-regulation.

In addition, neuroimaging studies in dehydrated elderly, show decrease in gray and white matter volume (Streitbürger et al., 2012). However, it is important to keep in mind that most brain volumetric studies rely on diffusion tensor imaging (DTI) which detects water anisotropy and is therefore highly dependent on the brain fluid dynamics (Meng et al., 2004; Nakamura et al., 2014).

Water and Protein Misfolding Disorders

Misfolded protein aggregates were shown to be involved in many human diseases, including neurocognitive disorders and diabetes type 2, but in spite of the increasing prevalence of these conditions, the reason proteins misfold is not completely understood.

Water has been known to play a major role in protein conformational dynamics (Lemieux, 1996; Phillips, 2002; Zhao et al., 2013). In order to become biologically active newly transcribed proteins must fold along specific axes like paper in the ancient Japanese art of origami (Collet, 2011; Chong and Ham, 2015). Recently it was demonstrated that water plays a crucial role in this process as it forms hydrogen bonds with the amino acid chains, facilitating their collapse into three dimensional molecular structures. In the presence of water, folding occurs almost instantly (140 ns), resulting in biologically active molecules available for chemical reactions at the opportune time (Sen and Voorheis, 2014; Vajda and Perczel, 2014). In the absence of hydration the folding process is significantly slower and the biomolecules may miss the timing of their reactions. This results in molecular overcrowding which predisposes to misfolding (Gregersen et al., 2006; Stoppini et al., 2009). Indeed, it was hypothesized by others that biomolecular crowding relative to the fluid volume is inductive of misfolding and aggregation (Tokuriki et al., 2004; Yerbury et al., 2005).

Novel studies in protein conformational dynamics demonstrate that both protein misfolding, their repair and removal can take place in the intra and the extracellular compartment. The chance of protein misfolding is higher in the extracellular space (ECS) which is a rougher environment exposing these biomolecules to a higher degree of shear and tear (Ker and Chen, 1998; Genereux and Wiseman, 2015). For this reason, we focus our study on the ECS where hypovolemia may facilitate protein misfolding and aggregation.

It was hypothesized that adequate water circulation via aquaporin (AQP) channels is essential for clearing beta amyloid and for preventing its build-up characteristic for Alzheimer's disease (AD) (Figure 1). The glymphatic system paradigm suggests that insufficient amyloid clearance and its subsequent aggregation is the result of impaired water movement (Xie et al., 2013). This model, however pays less attention as to why proteins misfold in the first place.

FIGURE 1
www.frontiersin.org

Figure 1. Astrocyte swelling as a result of AQP-4 channels up-regulation with interstitial fluid hypovolemia and beta-amyloid misfolding.

The hydromolecular hypothesis is therefore complementary to the glymphatic model, but also differs from it by elevating water from an inert medium to an active participant in cognition (via protein folding) (Levy and Onuchic, 2006). This hypothesis raises another interesting question: do proteins participate in information processing directly?

Novel studies in neuroscience demonstrate that proteins participate in cognition by their ability to access logic gates, the elementary building blocks of digital circuits (Qi et al., 2013). These molecules are endowed with abilities to adaptively change their shapes in Transformers-like fashion, assembling and disassembling in response to electronic signals or electromagnetic fields (Kidd et al., 2009; Ausländer et al., 2012). For example, proteins were shown to assemble in the neuronal post-synaptic membrane into heteroreceptor complexes which may engender memory “bar codes” (Fuxe et al., 2007; Chen et al., 2012). Calcium-calmodulin-dependent kinase III, a component of neuronal microtubules, was hypothesized to store long term memory by reorganizing its spatial structure in response to synaptic activity (Smythies, 2015). Interestingly, water plays a major role in this model. Several studies revealed that dendritic spine biomolecules may play a crucial role in associative memory as they endow the neural circuits with Boolean logic (Craddock et al., 2012; De Ronde et al., 2012; Qi et al., 2013). Furthermore, proteins are endowed with Lego-like abilities to interlink, engendering large intra and extracellular biomolecular networks with hypothesized roles in cognition (Chen et al., 2012; Mancuso et al., 2014). In light of this data we believe that alteration of the normal protein conformation may impair cognition directly, rather than indirectly by damaging synapses and neurons which is the traditional view.

Epigenomic Regulation of the Subfornical Organ (SFO)

Elderly individuals are prone to dehydration as a result of blunted thirst sensation and loss of TBW as discussed above (Cowen et al., 2013; Hooper et al., 2014). Recent preclinical data reveal that the subfornical organ (SFO) of the hypothalamus functions as a “thirst center” in the mammalian brain, regulating the basic instinct of water intake (Oka et al., 2015). Since the SFO lacks a blood-brain-barrier (BBB) it may be well positioned to detect peripheral dehydration and respond to it by increasing the sensation of thirst lowering water output. The SFO contains sensitive osmoreceptors which convert peripheral changes in osmolality into an excitatory neuronal signal, triggering both the sensation of thirst and the release of arginine vasopressin (AVP) by the posterior pituitary (Azizi et al., 2008).

It was recently demonstrated that the SFO contains both excitatory and inhibitory neurons which can be activated by the ECS water volume and osmolality (Oka et al., 2015). ECS hypovolemia activates the SFO excitatory neurons (which express ETV-1 transcription factor), triggering thirst. ECS normovolemia, on the other hand activates the SFO inhibitory neurons (which express the vesicular GABA transporter (VGAT)], inhibiting the sensation of thirst.

These genetically distinct neuronal groups may explain both dehydration and psychotic polydipsia. For example, excessive activation of excitatory, or failure to activate inhibitory SFO neurons may result in psychotic polydipsia. The opposite may be true in dehydration.

Several prior studies revealed that the sensation of thirst may also be activated by the stimulation of SFO neuronal cholinergic receptors. The SFO neurons express both nicotinic and muscarinic cholinergic receptors, while the SFO astrocytes express only alpha 7- nAChRs (Honda et al., 2003; Tanaka, 2003; Ono et al., 2008). Age-related paucity of these receptors interferes with ACh activation of the thirst sensation. The glial water channels consist of AQP-9 expressed by astrocytes and AQP-4 expressed by tanycytes (Figure 2).

FIGURE 2
www.frontiersin.org

Figure 2. Water channels expressed on the SFO cells. Inhibitory GABAergic neurons express VGAT, astrocytes AQP-9 and tanycytes AQP-4.

In addition to decreasing the expression of alpha 7 nAChRs, the aging process was documented to augment the expression of AQP channels on astrocytic end-feet as part of an age-related senescence-associated secretory phenotype (SASP). SASP is characterized by low grade inflammation, increased accumulation of misfolded protein aggregates and astrocyte swelling induced by AQP up-regulation (Picciotto and Zoli, 2002; Salminen et al., 2011; Akhmedov et al., 2013).

Peripheral dehydration was demonstrated to alter the expression of several SFO- related genes (Hindmarch et al., 2008). One of these genes is SLC6A1 which expresses VGAT on the cellular membranes of the SFO inhibitory neurons.

Method: we conducted a search of miRDB, a public online database for microRNA target prediction and functional annotations. The targets in miRDB are predicted by the bioinformatics tool, MirTarget. MirTarget was developed by analyzing thousands of miRNA-target interactions from high-throughput sequencing experiments. We searched the human database for the genes of interest SLC 32A1 and CHRNA 7, coding for VGAT and alpha 7 nicotinic cholinergic receptors respectively. We conducted a separate search for each of the two genes by utilizing the gene symbol SLC 32A1 and CHRNA 7. The results revealed that 131 microRNAs modulate the SLC 32A1 gene and 57 microRNAs the CHRNA 7 gene. Analyzing this data, miR by miR we found one common microRNA modulating both genes, the miR-6842 (Figure 3).

FIGURE 3
www.frontiersin.org

Figure 3. Physiologically, microRNA-6842 silences SLC6A1 and CHRNA7 genes, activating the sensation of thirst.

A dysfunctional miR-6842 may fail to silence the SLC6A1 gene, preventing inhibition of the SFO GABAergic neurons with resultant thirst blocking. The same is achieved via failure to inhibit the CHRNA-7 gene, thus preventing ACh-induced thirst.

Conclusions

The hydromolecular hypothesis endeavors to explain the relationship between dehydration and decreased cognition in elderly as resulting from protein misfolding and aggregation in the context of low interstitial fluid volume (ECS hypovolemia). Defective proteins may affect cognition either directly via impaired information processing in the brain biomolecular networks, or indirectly via neuronal and synaptic damage, or both.

MicroRNA-6842 may constitute a biological marker with predictive value for dehydration encephalopathy in elderly as it regulates two genes involved in the sensation of thirst.

Author Contributions

All authors listed, have made substantial, direct and intellectual contribution to the work, and approved it for publication.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

Akhmedov, K., Rizzo, V., Kadakkuzha, B. M., Carter, C. J., Magoski, N. S., Capo, T. R., et al. (2013). Decreased response to acetylcholine during aging of Aplysia neuron R15. PLoS ONE 8:e84793. doi: 10.1371/journal.pone.0084793

PubMed Abstract | CrossRef Full Text | Google Scholar

Alvestad, S., Hammer, J., Hoddevik, E. H., Skare, Ø., Sonnewald, U., Amiry-Moghaddam, M., et al. (2013). Mislocalization of AQP4 precedes chronic seizures in the kainate model of temporal lobe epilepsy. Epilepsy Res. 105, 30–41. doi: 10.1016/j.eplepsyres.2013.01.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Aoki-Yoshino, K., Uchihara, T., Duyckaerts, C., Nakamura, A., Hauw, J. J., and Wakayama, Y. (2005). Enhanced expression of aquaporin 4 in human brain with inflammatory diseases. Acta Neuropathol. 110, 281–288. doi: 10.1007/s00401-005-1052-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Ausländer, S., Ausländer, D., Müller, M., Wieland, M., and Fussenegger, M. (2012). Programmable single-cell mammalian biocomputers. Nature 487, 123–127. doi: 10.1038/nature11149

PubMed Abstract | CrossRef Full Text | Google Scholar

Azizi, M., Iturrioz, X., Blanchard, A., Peyrard, S., De Mota, N., Chartrel, N., et al. (2008). Reciprocal regulation of plasma apelin and vasopressin by osmotic stimuli. J. Am. Soc. Nephrol. 19, 1015–1024. doi: 10.1681/ASN.2007070816

PubMed Abstract | CrossRef Full Text | Google Scholar

Bhattacharyaa, P., Kumar, A., Paulb, P. S., and Patnaikb, R. (2014). Melatonin renders neuroprotection by protein kinase C mediated aquaporin-4 inhibition in animal model of focal cerebral ischemia. Life Sci. 100, 97–109. doi: 10.1016/j.lfs.2014.01.085

PubMed Abstract | CrossRef Full Text | Google Scholar

Binder, D. K., Nagelhus, E. A., and Ottersen, O.P. (2012). Aquaporin-4 and epilepsy. Glia 60, 1203–1214. doi: 10.1002/glia.22317

PubMed Abstract | CrossRef Full Text | Google Scholar

Chen, Y.-S., Hon, M.-Y., and Huang, G. S. (2012). A protein transistor made of an antibody molecule and two gold nanoparticles. Nat. Nanotechnol. 7, 197–203. doi: 10.1038/nnano.2012.7

PubMed Abstract | CrossRef Full Text | Google Scholar

Chong, S. H., and Ham, S. (2015). Distinct role of hydration water in protein misfolding and aggregation revealed by fluctuating thermodynamics analysis. Acc. Chem. Res. 48, 956–965. doi: 10.1021/acs.accounts.5b00032

PubMed Abstract | CrossRef Full Text | Google Scholar

Collet, O. (2011). How does the first water shell fold proteins so fast? J. Chem. Phys. 134, 085107. doi: 10.1063/1.3554731

PubMed Abstract | CrossRef Full Text | Google Scholar

Cowen, L. E., Hodak, S. P., and Verbalis, J. G. (2013). Age-associated abnormalities of water homeostasis. Endocrinol. Metab. Clin. North Am. 42, 349–370. doi: 10.1016/j.ecl.2013.02.005

PubMed Abstract | CrossRef Full Text | Google Scholar

Craddock, T. J. A., Tuszynski, J. A., and Hameroff, S. (2012). Cytoskeletal signaling: is memory encoded in microtubule lattices by CaMKII phosphorylation? PLoS Comput. Biol. 8:e1002421. doi: 10.1371/journal.pcbi.1002421

PubMed Abstract | CrossRef Full Text | Google Scholar

Davis, D. H. J., Terrera, G. M., Tuomo, P., Sulkava, R., MacLullich, A. M. J., and Carol, B. (2012). Delirium is a strong risk factor for dementia in the oldest-old: a population-based cohort study. Brain 135, 2809–2816. doi: 10.1093/brain/aws190

PubMed Abstract | CrossRef Full Text | Google Scholar

Dehghan, F., Khaksari Hadad, M., Asadikram, G., Najafipour, H., and Shahrokhi, N. (2013). Effect of melatonin on intracranial pressure and brain edema following traumatic brain injury: role of oxidative stresses. Arch. Med. Res. 44, 251–258. doi: 10.1016/j.arcmed.2013.04.002

PubMed Abstract | CrossRef Full Text | Google Scholar

De Ronde, W., Rein ten Wolde, P., and Mugler, A. (2012). Protein logic: a statistical mechanical study of signal integration at the single-molecule level. Biophys. J. 103, 1097–1107. doi: 10.1016/j.bpj.2012.07.040

PubMed Abstract | CrossRef Full Text | Google Scholar

Florence, C. M., Baillie, L. D., and Mulligan, S. J. (2012). Dynamic volume changes in astrocytes are an intrinsic phenomenon mediated by bicarbonate ion flux. PLoS ONE 7:e51124. doi: 10.1371/journal.pone.0051124

PubMed Abstract | CrossRef Full Text | Google Scholar

Foglio, E., and Fabrizio, R. E. (2010). Aquaporins and neurodegenerative diseases. Curr. Neuropharmacol. 8, 112–121. doi: 10.2174/157015910791233150

PubMed Abstract | CrossRef Full Text | Google Scholar

Frangeskou, M., Lopez-Valcarcel, B., and Serra-Majem, L. (2015). Dehydration in the elderly: a review focused on economic burden. J. Nutr. Health Aging. 19, 619–627. doi: 10.1007/s12603-015-0491-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Fuxe, K., Canals, M., Torvinen, M., Marcellino, D., Terasmaa, A., Genedani, S., et al. (2007). Intramembrane receptor-receptor interactions: a novel principle in molecular medicine. J. Neural Transm. 114, 49–75. doi: 10.1007/s00702-006-0589-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Genereux, J. C., and Wiseman, R. L. (2015.). Regulating extracellular proteostasis capacity through the unfolded protein response. Prion 9, 10–21. doi: 10.1080/19336896.2015.1011887

PubMed Abstract | CrossRef Full Text | Google Scholar

George, J., and Rockwood, K. (2004). Dehydration and delirium–not a simple relationship. J. Gerontol. A Biol. Sci. Med. Sci. 59, 811–812. doi: 10.1093/gerona/59.8.M811

PubMed Abstract | CrossRef Full Text | Google Scholar

Gregersen, N., Bross, P., Vang, S., and Christensen, J. H. (2006). Protein misfolding and human disease. Annu. Rev. Genomics Hum. Genet. 7, 103–124. doi: 10.1146/annurev.genom.7.080505.115737

PubMed Abstract | CrossRef Full Text | Google Scholar

Gunnarson, E., Song, Y., Kowalewski, J. M., Brismar, H., Brines, M., Cerami, A., et al. (2009). Erythropoietin modulation of astrocyte water permeability as a component of neuroprotection. Proc. Natl. Acad. Sci. U.S.A. 106, 1602–1607. doi: 10.1073/pnas.0812708106

PubMed Abstract | CrossRef Full Text | Google Scholar

Guo, W., Feng, G., Miao, Y., Liu, G., and Xu, C. (2014). Rapamycin alleviates brain edema after focal cerebral ischemia reperfusion in rats. Immunopharmacol. Immunotoxicol. 36, 211–223. doi: 10.3109/08923973.2014.913616

PubMed Abstract | CrossRef Full Text | Google Scholar

Han, J. H., and Wilber, S. T. (2013). Altered mental status in older emergency department patients. Clin. Geriatr. Med. 29, 101–136. doi: 10.1016/j.cger.2012.09.005

PubMed Abstract | CrossRef Full Text

He, L., Zhang, X., Wei, X., and Li, Y. (2014). Progesterone attenuates aquaporin-4 expression in an astrocyte model of ischemia/reperfusion. Neurochem. Res. 39, 2251–2261. doi: 10.1007/s11064-014-1427-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Hindmarch, C., Fry, M., Yao, S. T., Smith, P. M., Murphy, D., and Ferguson, A. V. (2008). Microarray analysis of the transcriptome of the subfornical organ in the rat: regulation by fluid and food deprivation. Am. J. Physiol. Regul. Integr. Comp. Physiol. 295, R1914–R1920. doi: 10.1152/ajpregu.90560.2008

PubMed Abstract | CrossRef Full Text | Google Scholar

Honda, E., Ono, K., Toyono, T., Kawano, H., Masuko, S., and Inenaga, K. (2003). Activation of muscarinic receptors in rat subfornical organ neurones. J. Neuroendocrinol. 15, 770–777. doi: 10.1046/j.1365-2826.2003.01057.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Hooper, L., Bunn, D., Jimoh, F. O., and Fairweather-Tait, S. J. (2014). Water-loss dehydration and aging. Mech. Ageing Dev. 136–137, 50–58. doi: 10.1016/j.mad.2013.11.009

PubMed Abstract | CrossRef Full Text | Google Scholar

Hu, H., Yao, H. T., Zhang, W. P., Zhang, L., Ding, W., Zhang, S. H., et al. (2005). Increased expression of aquaporin-4 in human traumatic brain injury and brain tumors. J. Zhejiang Univ. Sci. B. 6, 33–37. doi: 10.1631/jzus.2005.B0033

PubMed Abstract | CrossRef Full Text | Google Scholar

Inouye, S. K. (1998). Delirium in hospitalized older patients. Clin. Geriatr. Med. 14, 754–764.

PubMed Abstract | Google Scholar

Ker, Y. C., and Chen, R. H. (1998). Shear-induced conformational changes and gelation of soy protein isolate suspensions. Food Sci. Technol. 31, 107–113. doi: 10.1006/fstl.1997.0306

CrossRef Full Text | Google Scholar

Kidd, B. A., Baker, D., and Thomas, W. E. (2009). Computation of conformational coupling in allosteric proteins. PLoS Comput. Biol. 5:e1000484. doi: 10.1371/journal.pcbi.1000484

PubMed Abstract | CrossRef Full Text | Google Scholar

Laird, M. D., Sukumari-Ramesh, S., Swift, A. E., Meiler, S. E., Vender, J. R., and Dhandapani, K. M. (2010). Curcumin attenuates cerebral edema following traumatic brain injury in mice: a possible role for aquaporin-4? J. Neurochem. 113, 637–648. doi: 10.1111/j.1471-4159.2010.06630.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Lan, Y. L., Zhao, J., Ma, T., and Li, S. (2015). The potential roles of aquaporin 4 in alzheimer's disease. Mol. Neurobiol. doi: 10.1007/s12035-015-9446-1. [Epub ahead of print].

PubMed Abstract | CrossRef Full Text | Google Scholar

Lee, M. R., Ruby, C. L., Hinton, D. J., Choi, S., Adams, C. A., Young Kang, N., et al. (2013). Striatal adenosine signaling regulates EAAT2 and astrocytic AQP4 expression and alcohol drinking in mice. Neuropsychopharmacology 38, 437–445. doi: 10.1038/npp.2012.198

PubMed Abstract | CrossRef Full Text | Google Scholar

Lemieux, R. M. (1996). How water provides the impetus for molecular recognition in aqueous solution. Acc. Chem. Res. 29, 373–380. doi: 10.1021/ar9600087

CrossRef Full Text | Google Scholar

Levy, Y., and Onuchic, J. N. (2006). Water mediation in protein folding and molecular recognition. Annu. Rev. Biophys. Biomol. Struct. 35, 389–415. doi: 10.1146/annurev.biophys.35.040405.102134

PubMed Abstract | CrossRef Full Text | Google Scholar

Lin, L., Huang, Q.-X., Yang, S.-S., Chu, J., Wang, J.-Z., and Tian, Q. (2013). Melatonin in Alzheimer's disease. Int. J. Mol. Sci. 14, 14575–14593. doi: 10.3390/ijms140714575

PubMed Abstract | CrossRef Full Text | Google Scholar

Mancuso, J. J., Cheng, J., Yin, Z., Gilliam, J. C., Xia, X., Li, X., et al. (2014). Integration of multiscale dendritic spine structure and function data into systems biology models. Front. Neuroanat. 8:130. doi: 10.3389/fnana.2014.00130

PubMed Abstract | CrossRef Full Text | Google Scholar

McCook, O., Georgieff, M., Scheuerle, A., Möller, P., Thiemermann, C., and Radermacher, P. (2012). Erythropoietin in the critically ill: do we ask the right questions? Crit. Care 16, 319. doi: 10.1186/cc11430

PubMed Abstract | CrossRef Full Text | Google Scholar

Meng, S., Qiao, M., Lin, L., Del Bigio, M. R., Tomanek, B., and Tuor, U. I. (2004). Correspondence of AQP4 expression and hypoxic-ischaemic brain oedema monitored by magnetic resonance imaging in the immature and juvenile rat. Eur. J. Neurosci. 19, 2261–2269. doi: 10.1111/j.0953-816X.2004.03315.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Moftakhar, P., Lynch, M. D., Pomakian, J. L., and Vinters, H. V. (2010). Aquaporin expression in the brains of patients with or without cerebral amyloid angiopathy. J. Neuropathol. Exp. Neurol. 69, 1201–1209. doi: 10.1097/NEN.0b013e3181fd252c

PubMed Abstract | CrossRef Full Text | Google Scholar

Morelli, M., Carta, A. R., Kachroo, A., and Schwarzschild, M. A. (2010). Pathophysiological roles for purines: adenosine, caffeine and urate. Prog. Brain Res. 183, 183–208. doi: 10.1016/S0079-6123(10)83010-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Nagelhus, E. A., and Ottersen, O. P. (2013). Physiological roles of aquaporin-4 in brain. Physiol. Rev. 93, 1543–1562. doi: 10.1152/physrev.00011.2013

PubMed Abstract | CrossRef Full Text | Google Scholar

Nakamura, K., Brown, R. A., Araujo, D., Narayanan, S., and Arnold, D. L. (2014). Correlation between brain volume change and T2 relaxation time induced by dehydration and rehydration: implications for monitoring atrophy in clinical studies. Neuroimage 6, 166–170. doi: 10.1016/j.nicl.2014.08.014

PubMed Abstract | CrossRef Full Text | Google Scholar

Ogawa, E., Sakakibara, R., Endo, K., Tateno, F., Matsuzawa, Y., Hosoe, N., et al. (2011). Incidence of dehydration encephalopathy among patients with disturbed consciousness at a hospital emergency unit. Clin. Prac. 1:e9. doi: 10.4081/cp.2011.e9

PubMed Abstract | CrossRef Full Text | Google Scholar

Oka, Y., Ye, M., and Zuker, C. S. (2015). Thirst driving and suppressing signals encoded by distinct neural populations in the brain. Nature 520, 349–352. doi: 10.1038/nature14108

PubMed Abstract | CrossRef Full Text | Google Scholar

Ono, K., Toyono, T., and Inenaga, K. (2008). Nicotinic receptor subtypes in rat subfornical organ neurons and glial cells. Neuroscience 154, 994–1001. doi: 10.1016/j.neuroscience.2008.04.028

PubMed Abstract | CrossRef Full Text | Google Scholar

Phillips, R. S. (2002). How does active site water affect enzymatic stereo recognition? J. Mol. Cat. B. 19–20, 103–107. doi: 10.1016/S1381-1177(02)00156-X

CrossRef Full Text | Google Scholar

Picciotto, M. R., and Zoli, M. (2002). Nicotinic receptors in aging and dementia. J. Neurobiol. 53, 641–655. doi: 10.1002/neu.10102

PubMed Abstract | CrossRef Full Text | Google Scholar

Pretorius, R. W., Gataric, G., Swedlund, S. K., and Miller, J. R. (2013). Reducing the risk of adverse drug events in older adults. Am. Fam. Physician. 87, 331–336.

PubMed Abstract | Google Scholar

Qi, H., Qiu, X., Wang, C., Gaoa, Q., and Zhang, C. (2013). Digital electrogenerated chemiluminescence biosensor for the determination of multiple proteins based on Boolean logic gate. Anal. Methods 5, 612–615. doi: 10.1039/c2ay26054a

CrossRef Full Text | Google Scholar

Reyes-Haro, D., Labrada-Moncada, F. E., Miledi, R., and Martínez-Torres, A. (2015). Dehydration-induced anorexia reduces astrocyte density in the rat corpus callosum. Neural Plast. 2015:474917. doi: 10.1155/2015/474917

PubMed Abstract | CrossRef Full Text | Google Scholar

Riebl, S. K., and Davy, B. M. (2013). The hydration equation: update on water balance and cognitive performance. ACSM's Health Fit. J. 17, 21–28. doi: 10.1249/FIT.0b013e3182a9570f

PubMed Abstract | CrossRef Full Text | Google Scholar

Rodríguez-Arellano, J. J., Parpura, V., Zorec, R., and Verkhratsky, A. (2016). Astrocytes in physiological aging and Alzheimer's disease. Neuroscience 323, 170–182. doi: 10.1016/j.neuroscience.2015.01.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Saji, E., Arakawa, M., Yanagawa, K., Toyoshima, Y., Yokoseki, A., Okamoto, K., et al. (2013). Cognitive impairment and cortical degeneration in neuromyelitis optica. Ann. Neurol. 73, 65–76. doi: 10.1002/ana.23721

PubMed Abstract | CrossRef Full Text | Google Scholar

Salminen, A., Ojala, J., Kaarniranta, K., Haapasalo, A., Hiltunen, M., and Soininen, H. (2011). Astrocytes in the aging brain express characteristics of senescence-associated secretory phenotype. Eur. J. Neurosci. 34, 3–11. doi: 10.1111/j.1460-9568.2011.07738.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Schlanger, L. E., Bailey, J. L., and Sands, J. M. (2010). Electrolytes in the aging. Adv. Chronic Kidney Dis. 17, 308–319. doi: 10.1053/j.ackd.2010.03.008

PubMed Abstract | CrossRef Full Text | Google Scholar

Sen, S., and Voorheis, H. P. (2014). Protein folding: understanding the role of water and the low Reynolds number environment as the peptide chain emerges from the ribosome and folds. J. Theor. Biol. 363, 169–187. doi: 10.1016/j.jtbi.2014.07.025

PubMed Abstract | CrossRef Full Text | Google Scholar

Sfera, A., and Osorio, C. (2014). Water for thought: is there a role for aquaporin channels in delirium? Front. Psychiatry 5:57. doi: 10.3389/fpsyt.2014.00057

PubMed Abstract | CrossRef Full Text | Google Scholar

Smythies, J. (2015). On the possible role of protein vibrations in information processing in the brain: three Russian dolls. Front. Mol. Neurosci. 8:38. doi: 10.3389/fnmol.2015.00038

PubMed Abstract | CrossRef Full Text | Google Scholar

St. Hillaire, C., Vargas, D., Pardo, C. A., Gincel, D., Mann, J., Rothstein, J. D., et al. (2005). Aquaporin 4 is increased in association with human immunodeficiency virus dementia: implications for disease pathogenesis. J. Neurovirol. 11, 535–543. doi: 10.1080/13550280500385203

PubMed Abstract | CrossRef Full Text | Google Scholar

Stoppini, M., Obici, L., Lavatelli, F., Giorgetti, S., Marchese, L., Moratti, R., et al. (2009). Proteomics in protein misfolding diseases. Clin. Chem. Lab. Med. 47, 627–635. doi: 10.1515/CCLM.2009.164

PubMed Abstract | CrossRef Full Text | Google Scholar

Streitbürger, D.-P., Möller, H. E., Tittgemeyer, M., Hund-Georgiadis, M., Schroeter, M. L., and Mueller, K. (2012). Investigating structural brain changes of dehydration using voxel-based morphometry. PLoS ONE 7:e44195. doi: 10.1371/journal.pone.0044195

PubMed Abstract | CrossRef Full Text | Google Scholar

Subburaman, T. T., and Vanisree, A. J. (2011). Oxidative pathology and AQP4 mRNA expression in patients of Parkinson's disease in Tamil Nadu. Ann. Neurosci. 18, 109–112. doi: 10.5214/ans.0972.7531.1118306

PubMed Abstract | CrossRef Full Text | Google Scholar

Tait, M. J, Saadoun, S., Bell, B. A, and Papadopoulos, M. C. (2008). Water movements in the brain: role of aquaporins. Trends Neurosci. 31, 37–43. doi: 10.1016/j.tins.2007.11.003

PubMed Abstract | CrossRef Full Text | Google Scholar

Tanaka, J. (2003). Activation of cholinergic pathways from the septum to the subfornical organ area under hypovolemic condition in rats. Brain Res. Bull. 61, 497–504. doi: 10.1016/S0361-9230(03)00186-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Tanaka, M., Tanaka, K., Komori, M., and Saida, T. (2007). Anti-aquaporin 4 antibody in Japanese multiple sclerosis: the presence of optic spinal multiple sclerosis without long spinal cord lesions and anti-aquaporin 4 antibody. J. Neurol. Neurosurg. Psychiatry 78, 990–992. doi: 10.1136/jnnp.2006.114165

PubMed Abstract | CrossRef Full Text | Google Scholar

Thrane, A. S., Thrane, V. R., and Nedergaard, M. (2014). Drowning stars: reassessing the role of astrocytes in brain edema. Trends Neurosci. 37, 620–628. doi: 10.1016/j.tins.2014.08.010

PubMed Abstract | CrossRef Full Text | Google Scholar

Tokuriki, N., Kinjo, M., Negi, S., Hoshino, M., Goto, Y., Urabe, I., et al. (2004). Protein folding by the effects of macromolecular crowding. Protein Sci. 13, 125–133. doi: 10.1110/ps.03288104

PubMed Abstract | CrossRef Full Text | Google Scholar

Trinh-Trang-Tan, M. M., Geelen, G., Teillet, L., and Corman, B. (2003). Urea transporter expression in aging kidney and brain during dehydration. Am. J. Physiol. Regul. Integr. Comp. Physiol. 285, R1355–R1365. doi: 10.1152/ajpregu.00207.2003

PubMed Abstract | CrossRef Full Text | Google Scholar

Utsugisawa, K., Nagane, Y., Tohgi, H., Yoshimura, M., Ohba, H., and Genda, Y. (1999). Changes with aging and ischemia in nicotinic acetylcholine receptor subunit alpha7 mRNA expression in postmortem human frontal cortex and putamen. Neurosci. Lett. 270, 145–148. doi: 10.1016/S0304-3940(99)00473-5

PubMed Abstract | CrossRef Full Text | Google Scholar

Vajda, T., and Perczel, A. (2014). Role of water in protein folding, oligomerization, amyloidosis and miniprotein. J. Pept. Sci. 20, 747–759. doi: 10.1002/psc.2671

PubMed Abstract | CrossRef Full Text | Google Scholar

Wang, B. F., Cui, Z. W., Zhong, Z. H., Sun, Y. H., Sun, Q. F., Yang, G. Y., et al. (2015). Curcumin attenuates brain edema in mice with intracerebral hemorrhage through inhibition of AQP4 and AQP9 expression. Acta Pharmacol. Sin. 36, 939–948. doi: 10.1038/aps.2015.47

PubMed Abstract | CrossRef Full Text | Google Scholar

Warren, J. L., Bacon, W. E., Harris, T., McBean, A. M., Foley, D. J., and Phillips, C. (1994). The burden and outcomes associated with dehydration among US elderly, 1991. Am. J. Public Health. 84, 1265–1269. doi: 10.2105/AJPH.84.8.1265

PubMed Abstract | CrossRef Full Text | Google Scholar

Xiao, H., Barber, J., and Campbell, E. S. (2004). Economic burden of dehydration among hospitalized elderly patients. Am. J. Health Syst. Pharm. 61, 2534–2540.

PubMed Abstract | Google Scholar

Xie, L., Kang, H., Xu, Q., Chen, M. J., Liao, Y., Thiyagarajan, M., et al. (2013). Sleep drives metabolite clearance from the adult brain. Science 342, 373–377. doi: 10.1126/science.1241224

PubMed Abstract | CrossRef Full Text | Google Scholar

Yang, M., Gao, F., Liu, H., Yu, W. H., Zhuo, F., Qiu, G. P., et al. (2013). Hyperosmotic induction of aquaporin expression in rat astrocytes through a different MAPK pathway. J. Cell Biochem. 114, 111–119. doi: 10.1002/jcb.24308

PubMed Abstract | CrossRef Full Text | Google Scholar

Yerbury, J. J., Stewart, E. M., Wyatt, A. R., and Wilson, M. R. (2005). Quality control of protein folding in extracellular space. EMBO Rep. 6, 1131–1136. doi: 10.1038/sj.embor.7400586

PubMed Abstract | CrossRef Full Text | Google Scholar

Zador, Z., Stiver, S., Wang, V., and Manley, G. T. (2009). Role of aquaporin-4 in cerebral edema and stroke. Handb. Exp. Pharmacol. 159–170. doi: 10.1007/978-3-540-79885-9_7

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, J., Yang, B., Sun, H., Zhou, Y., Liu, M., Ding, J., et al. (2016). Aquaporin-4 deficiency diminishes the differential degeneration of midbrain dopaminergic neurons in experimental Parkinson's disease. Neurosci. Lett. 614, 7–15. doi: 10.1016/j.neulet.2015.12.057

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhang, N., Li, Y. J., Fu, Y., Shao, J. H., Luo, L. L., Yang, L., et al. (2015). Cognitive impairment in Chinese neuromyelitis optica. Mult. Scler. 21, 1839–1846. doi: 10.1177/1352458515576982

PubMed Abstract | CrossRef Full Text | Google Scholar

Zhao, L., Li, W., and Tian, P. (2013). Reconciling mediating and slaving roles of water in protein conformational dynamics. PLoS ONE 8:e60553. doi: 10.1371/journal.pone.0060553

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: dehydration, aquaporins, extracellular space, protein folding, protein conformational dynamics

Citation: Sfera A, Cummings M and Osorio C (2016) Dehydration and Cognition in Geriatrics: A Hydromolecular Hypothesis. Front. Mol. Biosci. 3:18. doi: 10.3389/fmolb.2016.00018

Received: 28 January 2016; Accepted: 25 April 2016;
Published: 12 May 2016.

Edited by:

Megha Agrawal, University of Illinois at Chicago, USA

Reviewed by:

Ravi C. Kalathur, New York Structural Biology Center, USA
Enno Klussmann, Max Delbrück Center for Molecular Medicine, Germany

Copyright © 2016 Sfera, Cummings and Osorio. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Adonis Sfera, ZHIuc2ZlcmFAZ21haWwuY29t;
Michael Cummings, TWljaGFlbC5DdW1taW5nc0BEU0guY2EuZ292

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.