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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Neurosci.</journal-id>
<journal-title>Frontiers in Cellular Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Neurosci.</abbrev-journal-title>
<issn pub-type="epub">1662-5102</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fncel.2019.00393</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Neuroscience</subject>
<subj-group>
<subject>Mini Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Temporal Control of Axonal Transport: The Extreme Case of Organismal Ageing</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Mattedi</surname> <given-names>Francesca</given-names></name>
<uri xlink:href="http://loop.frontiersin.org/people/748392/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Vagnoni</surname> <given-names>Alessio</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/648567/overview"/>
</contrib>
</contrib-group>
<aff><institution>Department of Basic and Clinical Neuroscience, Maurice Wohl Clinical Neuroscience Institute, IoPPN, King&#x2019;s College London</institution>, <addr-line>London</addr-line>, <country>United Kingdom</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Shermali Gunawardena, University at Buffalo, United States</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Majid Hafezparast, University of Sussex, United Kingdom; Angels Almenar, University of California, San Diego, United States; Victor Faundez, Emory University, United States</p></fn>
<corresp id="c001">&#x002A;Correspondence: Alessio Vagnoni, <email>alessio.vagnoni@kcl.ac.uk</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Cellular Neuropathology, a section of the journal Frontiers in Cellular Neuroscience</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>23</day>
<month>08</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="collection">
<year>2019</year>
</pub-date>
<volume>13</volume>
<elocation-id>393</elocation-id>
<history>
<date date-type="received">
<day>31</day>
<month>05</month>
<year>2019</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>08</month>
<year>2019</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2019 Mattedi and Vagnoni.</copyright-statement>
<copyright-year>2019</copyright-year>
<copyright-holder>Mattedi and Vagnoni</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>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) and the copyright owner(s) 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.</p></license>
</permissions>
<abstract>
<p>A fundamental question in cell biology is how cellular components are delivered to their destination with <italic>spatial</italic> and <italic>temporal</italic> precision within the crowded cytoplasmic environment. The long processes of neurons represent a significant <italic>spatial</italic> challenge and make these cells particularly dependent on mechanisms for long-range cytoskeletal transport of proteins, RNA and organelles. Although many studies have substantiated a role for defective transport of axonal cargoes in the pathogenesis of neurodevelopmental and neurodegenerative diseases, remarkably little is known about how transport is regulated throughout ageing. The scale of the challenge posed by ageing is considerable because, in this case, the <italic>temporal</italic> regulation of transport is ultimately dictated by the length of organismal lifespan, which can extend to days, years or decades. Recent methodological advances to study live axonal transport during ageing <italic>in situ</italic> have provided new tools to scratch beneath the surface of this complex problem and revealed that age-dependent decline in the transport of mitochondria is a common feature across different neuronal populations of several model organisms. In certain instances, the molecular pathways that affect transport in ageing animals have begun to emerge. However, the functional implications of these observations are still not fully understood. Whether transport decline is a significant determinant of neuronal ageing or a mere consequence of decreased cellular fitness remains an open question. In this review, we discuss the latest developments in axonal trafficking in the ageing nervous system, along with the early studies that inaugurated this new area of research. We explore the possibility that the interplay between mitochondrial function and motility represents a crucial driver of ageing in neurons and put forward the hypothesis that declining axonal transport may be legitimately considered a hallmark of neuronal ageing.</p>
</abstract>
<kwd-group>
<kwd>axonal transport</kwd>
<kwd>ageing</kwd>
<kwd>neurons</kwd>
<kwd>mitochondria</kwd>
<kwd><italic>in vivo</italic> imaging</kwd>
<kwd>intracellular trafficking</kwd>
<kwd>model organisms</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="139"/>
<page-count count="11"/>
<word-count count="0"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1">
<title>Introduction</title>
<p>Ageing is a process characterised by progressive decline of cellular and organismal functions. How neurons age is a fascinating biological question with vast societal implications, not least due to the ever-increasing life expectancy, but also because ageing is the major risk factor for dementia and other disorders of the nervous system (<xref ref-type="bibr" rid="B88">Niccoli and Partridge, 2012</xref>). Neuronal cells heavily rely on mechanisms for the delivery of essential intracellular cargoes within axons and dend- rites; for example, mobilisation of mitochondria to regions of high energy demand, trafficking of mRNA and ribosomal subunits for local translation, signalling endosome-mediated delivery of survival factors and autophagosome-mediated clearance of damaged organelles. As the cellular equivalent of a conveyor belt, when the transport process is interrupted, the functional implications for the neurons are profound. It is therefore not surprising that mutations in genes encoding axonal transport machinery are linked to human disease and that axonal transport impairments have been implicated in the pathogenesis of many neurological diseases (<xref ref-type="bibr" rid="B24">De Vos et al., 2008</xref>; <xref ref-type="bibr" rid="B81">Millecamps and Julien, 2013</xref>). However, whether this process plays a role in the ageing of neurons has always remained elusive, mainly due to a lack of suitable models to study transport during organismal ageing. Initial studies using radiolabelled amino acids to track axonal transport in neurons of ageing cats and dogs effectively inaugurated a new area of research (<xref ref-type="bibr" rid="B91">Ochs, 1973</xref>; <xref ref-type="fig" rid="F1">Figure 1A</xref>). A number of technical advances have recently provided new opportunities to study neuronal trafficking during ageing in different model organisms (<xref ref-type="bibr" rid="B113">Sleigh et al., 2017</xref>), thus injecting new life into a largely unexplored research field. In this review, we provide a summary of the current knowledge of intracellular trafficking in ageing neurons, highlighting pressing research questions and new opportunities presented by the latest technical developments.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Decline of axonal transport is a hallmark of neuronal ageing. <bold>(A)</bold> Timeline of selected milestones in the study of axonal transport during ageing. In bold, studies of particular interest for the scope of this review. <bold>(B)</bold> Decline of axonal cargo transport during ageing is a common feature across different neuronal populations of several model organisms, although the precise mechanisms of transport decline are not well understood. Not all cargo transport equally declines during ageing (refer to main text for further details) and the motility of many essential cargoes, for instance mRNPs, has not yet been investigated (red question marks). In addition to transport decline, cargoes such as mitochondria undergo an age-dependent functional decay (purple mitochondria). Transport decline correlates with decreased cellular function: can the decline in cargo motility be reversed in an attempt to improve neuronal health during ageing?</p></caption>
<graphic xlink:href="fncel-13-00393-g001.tif"/>
</fig>
</sec>
<sec id="S2">
<title>Intracellular Trafficking During Neuronal Ageing &#x2013; A Brief Historical Perspective</title>
<p>Life implies movement and the concept of motion has been essential for our understanding of the physical world since ancient times (<xref ref-type="bibr" rid="B49">Hall, 1965</xref>; <xref ref-type="bibr" rid="B59">Kosman, 1969</xref>). It was not, however, until the invention of the first single-lensed microscopes that the motion of the microscopic world began to capture the imagination of scientists (<xref ref-type="bibr" rid="B60">Lane, 2015</xref>). Further technical advancement, for instance the invention of microscopes with achromatic lenses, started a new era of scientific discoveries that, throughout the 19<sup>th</sup> century, saw scientists striving to characterise the &#x2018;living jelly&#x2019; (gel&#x00E9;e vivant, <xref ref-type="bibr" rid="B29">Dujardin, 1835</xref>), or &#x2018;living protoplasm&#x2019; (<xref ref-type="bibr" rid="B52">Huxley, 1869</xref>). The protoplasm, which we now know to be the cytoplasm, was thought to carry all the vital cellular functions and therefore constitute the physical basis of life (<xref ref-type="bibr" rid="B52">Huxley, 1869</xref>). Fast forward to the years 1950&#x2013;1970 to see the first studies carried out in the axons of neurons describing the distribution and migration of cytoplasmic components by classic tracing methods using radiolabelled isotopes (<xref ref-type="bibr" rid="B133">Weiss et al., 1945</xref>; <xref ref-type="bibr" rid="B105">Samuels et al., 1951</xref>; <xref ref-type="bibr" rid="B72">Lubinska, 1964</xref>; <xref ref-type="bibr" rid="B61">Lasek, 1967</xref>; <xref ref-type="bibr" rid="B132">Weiss, 1967</xref>; <xref ref-type="fig" rid="F1">Figure 1A</xref>). Mammalian nerves, and especially the sciatic nerve, were particularly suitable for this purpose as they are long, contain many axons and can be used to recover abundant radioactive extract to indirectly quantify the progression of the axoplasmic flow. These initial studies paved the way for further work aimed at characterising the transport of cellular components in the nervous system of ageing animals (<xref ref-type="bibr" rid="B91">Ochs, 1973</xref>). Ten years later, a monitor was attached to a microscope and AVEC-DIC (video-enhanced contrast, differential interference contrast) microscopy was born (<xref ref-type="bibr" rid="B1">Allen et al., 1981</xref>), which provided the first direct, real-time evidence of &#x2018;orthograde&#x2019; (i.e., toward the cell periphery) and retrograde (i.e., toward the cell soma) organelle movements in the giant axon of the squid (<xref ref-type="bibr" rid="B2">Allen et al., 1982</xref>; <xref ref-type="bibr" rid="B13">Brady et al., 1982</xref>).</p>
<p>Over the course of the next two decades, many observations were made suggesting that the movement of specific cargoes within axons may be reduced with age in rodent neurons (<xref ref-type="bibr" rid="B39">Geinisman et al., 1977</xref>; <xref ref-type="bibr" rid="B118">Stromska and Ochs, 1982</xref>; <xref ref-type="bibr" rid="B16">Brunetti et al., 1987</xref>; <xref ref-type="bibr" rid="B76">McQuarrie et al., 1989</xref>; <xref ref-type="bibr" rid="B18">Castel et al., 1994</xref>; <xref ref-type="bibr" rid="B37">Frolkis et al., 1997</xref>; <xref ref-type="bibr" rid="B122">Uchida et al., 2001</xref>; <xref ref-type="bibr" rid="B64">Li et al., 2004</xref>). These early studies relied mostly on radiolabelling techniques, at times combined with nerve ligation assays (<xref ref-type="bibr" rid="B35">Fernandez and Hodges-Savola, 1994</xref>) or the emerging AVEC-DIC microscopy (<xref ref-type="bibr" rid="B127">Viancour and Kreiter, 1993</xref>), and effectively opened up a new avenue of research: the study of intracellular trafficking in the nervous system of ageing animals (<xref ref-type="fig" rid="F1">Figures 1A,B</xref>). Because the displacement rates of the axoplasmic flow were generally calculated indirectly by biochemical analyses of the dissected tissue, the spatial and temporal resolution of these experiments was inevitably limited. Distinguishing between cargo-specific and general decline of transport throughout ageing was therefore often challenging. It was only with the discovery of fluorescent proteins, more recently coupled with the development of real-time <italic>in vivo</italic> imaging assays, that a clearer picture has begun to emerge on how neuronal trafficking is orchestrated in ageing organisms.</p>
</sec>
<sec id="S3">
<title>Model Organisms: One Model Does Not Fit All</title>
<p>A major bottleneck for ageing studies of neuronal cargo transport has been the lack of suitable models to study this process in real-time during the lifespan of an animal. Substantial progress has recently been made using novel assays in several model organisms, which we briefly review in this paragraph.</p>
<sec id="S3.SS1">
<title><italic>Mus musculus</italic> (&#x2018;The Mouse&#x2019;)</title>
<sec id="S3.SS1.SSS1">
<title>Mean Lifespan of Laboratory Mice: &#x223C;2 Years (<xref ref-type="bibr" rid="B36">Flurkey et al., 2007</xref>)</title>
<p>The study of neuronal trafficking in its natural habitat (<xref ref-type="bibr" rid="B65">Lichtman and Fraser, 2001</xref>) was significantly boosted by a body of work aimed at clarifying the dynamics of mitochondrial movement in the peripheral nerves of the <italic>MitoMouse</italic>. This transgenic mouse model, in which fluorescent proteins are specifically targeted to the matrix of the neuronal mitochondria, showed that the mitochondria maintain their high dynamicity in adult animals <italic>in vivo</italic> (<xref ref-type="bibr" rid="B83">Misgeld et al., 2007</xref>).</p>
<p>More recent studies with the <italic>MitoMouse</italic> have showed that the axonal transport of mitochondria undergoes an age-dependent decline in both retinal ganglion cells (i.e., the CNS) <italic>in situ</italic> (<xref ref-type="bibr" rid="B121">Takihara et al., 2015</xref>) and tissue explants of the sciatic nerve (i.e., the PNS) (<xref ref-type="bibr" rid="B43">Gilley et al., 2012</xref>; <xref ref-type="bibr" rid="B80">Milde et al., 2015</xref>). While the number of motile mitochondria is not overall affected in the mouse CNS up to 25 months of age, their dynamic properties (e.g., duration of movement and distance travelled) progressively decline as the animals age (<xref ref-type="bibr" rid="B121">Takihara et al., 2015</xref>). In the PNS <italic>ex vivo</italic>, the fraction of motile mitochondria starts declining already at 6 months of age. This is mirrored by an age-dependent reduction in the transport of the Golgi-derived NMNAT2 vesicles from 3 to 6 months of age in both CNS and PNS explants (<xref ref-type="bibr" rid="B80">Milde et al., 2015</xref>). With the exception of reduced vesicular velocity in the PNS tissue explants (<xref ref-type="bibr" rid="B80">Milde et al., 2015</xref>), cargo speeds remain largely unaffected by ageing in the mouse nervous system both <italic>in situ</italic> and <italic>ex vivo.</italic> Interestingly, ageing exacerbates the mitochondrial transport defects in tissue explants of a mouse model of tauopathy (<xref ref-type="bibr" rid="B43">Gilley et al., 2012</xref>), possibly due to alteration of microtubule dynamics, and in a mouse model of glaucoma <italic>in vivo</italic> (<xref ref-type="bibr" rid="B121">Takihara et al., 2015</xref>).</p>
<p>Age-dependent decrease of mitochondrial transport was also observed in dorsal root ganglia neurons (DRGs) cultured from 5-month old mice overexpressing tau P301S, compared to DRGs cultured from younger mice of the same genotype (<xref ref-type="bibr" rid="B78">Mellone et al., 2013</xref>). Recent work showed that the biogenesis of the autophagosome decreases in cultured DRGs from aged mice (<xref ref-type="bibr" rid="B117">Stavoe et al., 2019</xref>). Combined with evidence that hippocampal neurons cultured from ageing animals display mitochondrial functional decline (<xref ref-type="bibr" rid="B93">Parihar and Brewer, 2007</xref>), these findings indicate that <italic>in vitro</italic> cultures of neurons obtained from ageing animals could be used to recapitulate significant aspects of neuronal ageing and complement the <italic>in vivo</italic> work.</p>
<p>In spite of the age-dependent decline in cargo transport observed in different neuronal populations, transport reduction does not seem to be a general feature of neuronal ageing in mice <italic>in vivo</italic>. By performing intravital imaging from the mouse sciatic nerve (<xref ref-type="bibr" rid="B12">Bolea et al., 2014</xref>; <xref ref-type="bibr" rid="B42">Gibbs et al., 2016</xref>), Sleigh and co-authors showed that trafficking of neurotrophin-containing signalling endosomes is not affected in animals up to 18 months of age (<xref ref-type="bibr" rid="B111">Sleigh and Schiavo, 2016</xref>; <xref ref-type="bibr" rid="B112">Sleigh et al., 2018</xref>). Signalling endosomes mainly rely on mechanisms for retrograde transport (<xref ref-type="bibr" rid="B107">Schmieg et al., 2014</xref>) as opposed to the bidirectional motility of Golgi-derived NMNAT2 vesicles (<xref ref-type="bibr" rid="B80">Milde et al., 2015</xref>). The different dynamics of these vesicular cargoes during ageing may therefore reflect inherently distinct dynamic properties. Alternatively, the discrepancy might be due to physiological differences between the <italic>ex vivo</italic> and <italic>in vivo</italic> systems that would impact on specific subset of cargoes. Whatever the case, these findings highlight the need of more work to precisely dissect the dynamics of cargo transport during ageing.</p>
<p>The availability of new techniques to image neuronal cargo transport <italic>in vivo</italic> and <italic>ex vivo</italic> has opened up the possibility to study how intracellular trafficking is regulated in space and time in a more physiological setting relevant for ageing research. These studies so far have mainly focused on the mitochondria and led to refine our understanding of the relationship between mitochondrial dynamics and other aspects of cellular physiology, from neuronal activity (<xref ref-type="bibr" rid="B104">Sajic et al., 2013</xref>; <xref ref-type="bibr" rid="B31">Faits et al., 2016</xref>) to cellular redox state (<xref ref-type="bibr" rid="B15">Breckwoldt et al., 2014</xref>) and disease contexts (<xref ref-type="bibr" rid="B9">Bilsland et al., 2010</xref>; <xref ref-type="bibr" rid="B116">Sorbara et al., 2014</xref>). Although the mouse experiments have demonstrated the significance of studying transport within an ageing nervous system, this type of study is technically challenging and time consuming. In addition, the cost attached to it is prohibitive for many laboratories and the techniques used remain largely invasive (i.e., dissection could significantly interfere with the physiology of the processes observed). More recently, new work revealed the suitability of the fruit fly <italic>Drosophila melanogaster</italic> and the nematode <italic>Caenorhabditis elegans</italic> to study axonal transport in ageing animals. Due to the shorter lifespan of the invertebrate models, a clear advantage of using these systems is the possibility of making discoveries more rapidly. Key findings obtained in fruit flies and worms could then be validated in mammalian neurons to determine the evolutionary conservation and wider significance of such discoveries.</p>
</sec>
</sec>
<sec id="S3.SS2">
<title><italic>Drosophila melanogaster</italic> (&#x2018;The Fruit Fly&#x2019;)</title>
<sec id="S3.SS2.SSS1">
<title>Mean Lifespan of Laboratory Fruit Flies: &#x223C;50 Days (<xref ref-type="bibr" rid="B67">Linford et al., 2013</xref>)</title>
<p>The fruit fly is a prime model organism for ageing studies and it has led to seminal discoveries in the ageing field (<xref ref-type="bibr" rid="B21">Clancy et al., 2001</xref>; <xref ref-type="bibr" rid="B11">Bjedov et al., 2010</xref>). <italic>Drosophila</italic> has been extensively used for studies of axonal transport during larval and pupal developmental stage, providing invaluable insight into the mechanisms regulating neuronal trafficking (<xref ref-type="bibr" rid="B46">Gunawardena and Goldstein, 2001</xref>; <xref ref-type="bibr" rid="B47">Guo et al., 2005</xref>; <xref ref-type="bibr" rid="B97">Pilling et al., 2006</xref>; <xref ref-type="bibr" rid="B130">Wang and Schwarz, 2009</xref>; <xref ref-type="bibr" rid="B94">Pathak et al., 2010</xref>; <xref ref-type="bibr" rid="B135">Xiong et al., 2010</xref>; <xref ref-type="bibr" rid="B3">Avery et al., 2012</xref>; <xref ref-type="bibr" rid="B102">Reis et al., 2012</xref>; <xref ref-type="bibr" rid="B100">Quraishe et al., 2013</xref>; <xref ref-type="bibr" rid="B77">Medioni et al., 2015</xref>; <xref ref-type="bibr" rid="B7">Baldwin et al., 2016</xref>; <xref ref-type="bibr" rid="B26">Dey et al., 2017</xref>). A new assay that exploits the transparent wing of <italic>Drosophila</italic> has recently allowed studying this process in a subset of peripheral neurons of adult animals, with the advantage of monitoring cargo transport as the animals age (<xref ref-type="bibr" rid="B124">Vagnoni and Bullock, 2016</xref>). This approach, in which the neurons are imaged from live animals without surgical exposure of the nerve tracts, revealed that the fraction of transported mitochondria, but not their velocity or run length, declines early during ageing (<xref ref-type="bibr" rid="B126">Vagnoni et al., 2016</xref>). Halting mitochondrial transport specifically in adult neurons accelerates the appearance of protein aggregation, highlighting the relevance of mitochondrial trafficking for neuronal homeostasis. In this system, the transport of dense core vesicles is largely unaffected during ageing (<xref ref-type="bibr" rid="B126">Vagnoni et al., 2016</xref>; <xref ref-type="bibr" rid="B125">Vagnoni and Bullock, 2018</xref>). Therefore, as in the mouse sciatic nerve, early decline in axonal transport is not a general feature of ageing, ruling out major disruption to the cytoskeletal network, at least at an early stage. This work also showed that aged neurons are still capable of reversing a prolonged transport decline with an acute intervention in later life by boosting the cAMP/PKA pathway (<xref ref-type="bibr" rid="B125">Vagnoni and Bullock, 2018</xref>).</p>
<p>The short lifespan of <italic>Drosophila</italic> makes ageing studies inevitably less challenging than in murine models. Combined with the power of fly genetics, this system warrants fast progress in understanding the mechanisms regulating axonal transport during ageing and the relationship between transport and neuronal function during the animal lifetime. It would be informative to expand these studies to the CNS of flies, for instance by using <italic>ex vivo</italic> explants of adult brains (<xref ref-type="bibr" rid="B4">Ayaz et al., 2008</xref>) or the dissected ventral nerve cord (<xref ref-type="bibr" rid="B58">Kudumala et al., 2017</xref>), to understand whether decline in mitochondrial transport is shared between different neuronal types.</p>
</sec>
</sec>
<sec id="S3.SS3">
<title><italic>Caenorhabditis elegans</italic> (&#x2018;The Worm&#x2019;)</title>
<sec id="S3.SS3.SSS1">
<title>Mean Lifespan of Laboratory Worms: &#x223C;17 Days (<xref ref-type="bibr" rid="B40">Gems and Riddle, 2000</xref>)</title>
<p>Since the first DNA mutations correlating with lifespan extension were discovered in <italic>C. elegans</italic> (<xref ref-type="bibr" rid="B57">Klass et al., 1983</xref>), a string of discoveries were made in this model organism that challenged the classical view of evolutionary biologists that single mutations could not have a strong effect on lifespan (<xref ref-type="bibr" rid="B54">Kenyon et al., 1993</xref>; <xref ref-type="bibr" rid="B86">Morris et al., 1996</xref>). As with the fruit fly, the genetic tractability of this organism, coupled with its even shorter lifespan, makes it an excellent model for ageing studies of organelle transport.</p>
<p>Microfluidic devices have been developed for imaging neuronal transport in live worms throughout development and adulthood. By exploiting the translucent nature of these animals, robust transport of Rab3-positive synaptic vesicles can be readily observed in single sensory axons (<xref ref-type="bibr" rid="B85">Mondal et al., 2011</xref>). With ageing, the fraction and speed of the vesicles moving in the anterograde direction is decreased in D9 motor neurons and it correlates with impaired synaptic transmission (<xref ref-type="bibr" rid="B63">Li et al., 2016</xref>). Mitochondrial transport declines with age in mechanosensory neurons and this is associated with reduced mitochondrial density in the axons and a decreased ability of the animals to respond to oxidative stress throughout ageing (<xref ref-type="bibr" rid="B87">Morsci et al., 2016</xref>). Interestingly, by analysing transport in long-lived <italic>daf-2</italic> and <italic>eat-2</italic> mutant worms, the authors show that the prolonged maintenance of mitochondria trafficking is associated with the lifespan extension typical of these animal models and with increased mitochondrial resistance to oxidative stress, thus implicating the insulin-like signalling pathway in the regulation of mitochondrial motility and function during ageing. Redox imbalance has been shown to affect mitochondrial distribution in cultured mammalian cells (<xref ref-type="bibr" rid="B25">Debattisti et al., 2017</xref>) and in <italic>Drosophila</italic> adult neurons <italic>in vivo</italic> (<xref ref-type="bibr" rid="B114">Smith et al., 2019</xref>). It would be interesting to test whether modulation of cellular stress directly influences mitochondrial transport in this context. Mitochondrial motility is also affected by injury (<xref ref-type="bibr" rid="B101">Rawson et al., 2014</xref>) and in a <italic>C. elegans</italic> model of tauopathy (<xref ref-type="bibr" rid="B34">Fatouros et al., 2012</xref>), although it is not known whether ageing has any effect on the phenotypes observed.</p>
</sec>
</sec>
<sec id="S3.SS4">
<title><italic>Danio rerio</italic> (&#x2018;The Fish&#x2019;)</title>
<sec id="S3.SS4.SSS1">
<title>Mean Lifespan of Laboratory Fish: &#x223C;3.5 Years (<xref ref-type="bibr" rid="B41">Gerhard et al., 2002</xref>)</title>
<p><italic>Danio rerio</italic>, aka zebrafish, has emerged as an important model for studying neuronal function in an organismal context (<xref ref-type="bibr" rid="B129">Walker et al., 2013</xref>; <xref ref-type="bibr" rid="B95">Patten et al., 2014</xref>), and recent developments have provided powerful assays to measure the transport of mitochondria in a subset of CNS and PNS nerves during development (<xref ref-type="bibr" rid="B98">Plucinska et al., 2012</xref>; <xref ref-type="bibr" rid="B92">O&#x2019;Donnell et al., 2013</xref>; <xref ref-type="bibr" rid="B8">Bergamin et al., 2016</xref>; <xref ref-type="bibr" rid="B136">Xu et al., 2017</xref>; <xref ref-type="bibr" rid="B74">Mandal et al., 2018</xref>). These studies have shed light on the distribution of mitochondria within the complex architecture of a neuron <italic>in situ</italic> and have expanded our understanding of the consequences of disease-causing mutations on transport. As with adult fruit flies and worms, the accessibility of zebrafish neurons to microscopy observation is made possible by the translucency of the animal cuticle. This advantage is, however, restricted to developmental stages, limiting ageing studies of organelle transport. Being able to perform live imaging in adult tissues would represent an exciting advancement, for instance by exploiting the see-through nature of the medaka fish (<xref ref-type="bibr" rid="B128">Wakamatsu et al., 2001</xref>). The possibility of combining <italic>in situ</italic> imaging of organelle transport with short-lived fish models used in ageing research (<xref ref-type="bibr" rid="B28">Ding et al., 2010</xref>; <xref ref-type="bibr" rid="B50">Harel et al., 2015</xref>) could have a major impact and provide novel opportunities for the field.</p>
</sec>
</sec>
<sec id="S3.SS5">
<title><italic>Homo sapiens</italic> (&#x2018;The Humans&#x2019;)</title>
<sec id="S3.SS5.SSS1">
<title>Mean Life Expectancy of Humans (2015&#x2013;2020): &#x223C;72 Years (<xref ref-type="bibr" rid="B123">UN DESA, 2017</xref>)</title>
<p>The development of new methods in a number of animal models has begun to clarify fundamental mechanisms of cargo transport in ageing neurons and, more broadly, has added to our understanding of the cell biology of the ageing nervous system. It is not straightforward, however, to translate fundamental discoveries attained in model organisms to the ageing process of humans for the benefit of human health. Being able to study this process in a human model of neuronal ageing would help to address this knowledge gap in the field. Human-induced pluripotent stem cells (hiPSC) offer great potential to study intracellular trafficking in neurons derived from patients affected by a range of neurodegenerative diseases. Features associated with cellular age can be induced in these neurons, either by directly interfering with ageing markers or after an extended period in culture of several months (<xref ref-type="bibr" rid="B68">Liu et al., 2011</xref>; <xref ref-type="bibr" rid="B139">Ziff and Patani, 2019</xref>). Recent developments in stem cell technology have provided novel tools based on cultures of neurons derived directly from fibroblasts of human donors (iNeurons) (<xref ref-type="bibr" rid="B79">Mertens et al., 2015</xref>). Unlike hiPSC, these cells are not reprogrammed to an embryonic state. Thus, iNeurons derived from young and old individuals display age-specific transcriptional signatures, along with markers of mitochondrial ageing (<xref ref-type="bibr" rid="B56">Kim et al., 2018</xref>), suggesting they are suitable for comparisons of young and old cellular states. A notable advantage of the <italic>in vitro</italic> cellular system is the possibility of carrying out in-depth mechanistic studies that would be more challenging <italic>in vivo.</italic></p>
<p>Although the fundamental biological insights obtained in model systems <italic>in vitro</italic> and <italic>in vivo</italic> are crucial to advance the field, it is desirable to validate these findings in what arguably remains the best <italic>in vivo</italic> model, the humans themselves. Imaging approaches using manganese-enhanced magnetic resonance imaging (Mn<sup>2+</sup>-MRI) have revealed a decrease of the bulk transport in the olfactory system of aged mice (<xref ref-type="bibr" rid="B22">Cross et al., 2008</xref>). This non-invasive approach could potentially be translated to humans, with the possibility of recording transport rates in longitudinal studies from living human brains. These advantages, however, need to be weighed against the potential toxicity of Mn<sup>2+</sup> and the inevitable lack of tracer specificity which only reports on the bulk axoplasmic flow. Alternatively, pulse doses of non-radioactive tracers, such as heavy water (<sup>2</sup>H<sub>2</sub>O), could be followed by cerebrospinal fluid (CSF) sampling in young and old individuals through lumbar puncture and mass spectrometric analysis of the labelled proteins (<xref ref-type="bibr" rid="B32">Fanara et al., 2012</xref>). CSF-based biomarkers of neuronal cargo transport could then be identified to monitor defective transport during ageing. More recently, an exciting approach combining adaptive optics and optical coherence tomography (AO-OCT) has been applied to imaging fine neuronal details in the human retina <italic>in vivo</italic> (<xref ref-type="bibr" rid="B69">Liu et al., 2017</xref>). Enhanced visualisation of single axonal fibres (<xref ref-type="bibr" rid="B44">Gray et al., 2008</xref>), combined with the topical application of non-toxic chemical markers of subcellular structures, would open up the unprecedented opportunity to peer into the intracellular dynamics of the ageing nervous system of humans.</p>
</sec>
</sec>
</sec>
<sec id="S4">
<title>Mitochondria, an Atypical (But Essential) Cargo</title>
<p>Mitochondria have a central role in governing energy metabolism via ATP production and are regarded as the &#x2018;powerhouse of the cell&#x2019; (<xref ref-type="bibr" rid="B110">Siekevitz, 1957</xref>). Their fundamental role extends to numerous other processes essential for life, including fatty acid beta-oxidation, calcium signalling and steroid synthesis, and mitochondrial dysfunction is widely regarded as one of the hallmarks of ageing (<xref ref-type="bibr" rid="B10">Bishop et al., 2010</xref>; <xref ref-type="bibr" rid="B71">L&#x00F3;pez-Ot&#x00ED;n et al., 2013</xref>; <xref ref-type="bibr" rid="B27">DiLoreto and Murphy, 2015</xref>).</p>
<p>Many studies have focused on the mechanisms regulating mitochondrial motility and showed that disruption of mitochondrial transport invariably results in altered neuronal function (<xref ref-type="bibr" rid="B109">Sheng and Cai, 2012</xref>). However, mitochondria are atypical axonal transport cargoes as most of them can remain stationary at any given time (<xref ref-type="bibr" rid="B51">Hollenbeck and Saxton, 2005</xref>; <xref ref-type="bibr" rid="B48">Gutnick et al., 2019</xref>). Despite their lack of motility relative to other cargoes, reduction in mitochondrial movements is linked to decreased cellular health during ageing and disease, and declining transport appears to be an evolutionary conserved hallmark of ageing across several neuronal subtypes, from invertebrates to mammals (<xref ref-type="bibr" rid="B121">Takihara et al., 2015</xref>; <xref ref-type="bibr" rid="B87">Morsci et al., 2016</xref>; <xref ref-type="bibr" rid="B126">Vagnoni et al., 2016</xref>). On the other hand, upregulation of mitochondrial transport, for instance by boosting the cAMP-PKA pathway, correlates with increased cellular health in aged <italic>Drosophila</italic> neurons (<xref ref-type="bibr" rid="B125">Vagnoni and Bullock, 2018</xref>) and underlies synapse formation in Aplysia neurons (<xref ref-type="bibr" rid="B6">Badal et al., 2019</xref>). In fruit flies and worms, upregulation of mitochondrial transport also correlates with the suppression of Wallerian degeneration (<xref ref-type="bibr" rid="B3">Avery et al., 2012</xref>) and is protective against axotomy-triggered degeneration (<xref ref-type="bibr" rid="B101">Rawson et al., 2014</xref>). It has also been shown that transport upregulation <italic>in vitro</italic> is necessary for the maintenance of neuronal homeostasis after injury (<xref ref-type="bibr" rid="B137">Zhou et al., 2016</xref>) and is sustained after regeneration in young and old mice <italic>ex vivo</italic> (<xref ref-type="bibr" rid="B75">Mar et al., 2014</xref>; <xref ref-type="bibr" rid="B80">Milde et al., 2015</xref>). It would be interesting to expand these studies in ageing animals <italic>in vivo</italic>, for instance by exploiting current assays for imaging the mouse spinal cord after injury (<xref ref-type="bibr" rid="B55">Kerschensteiner et al., 2005</xref>; <xref ref-type="bibr" rid="B23">Davalos et al., 2008</xref>; <xref ref-type="bibr" rid="B33">Farrar et al., 2012</xref>). Increasing mitochondrial trafficking may not, however, always represent a viable option for improving cellular health (<xref ref-type="bibr" rid="B138">Zhu and Sheng, 2011</xref>; <xref ref-type="bibr" rid="B31">Faits et al., 2016</xref>) suggesting context-specific functional outcome of transport upregulation.</p>
</sec>
<sec id="S5">
<title>How is Mitochondrial Distribution Maintained Throughout Ageing? The Problem of &#x2018;Transport Imbalance&#x2019;</title>
<p>The advent of systems for <italic>in vivo</italic> imaging of organelle transport have, on one hand, provided new platforms to explore open questions in the field and, at the same time, presented us with new challenging questions (<xref ref-type="table" rid="T1">Table 1</xref>). On the other hand, these new methodologies have validated the general principles governing neuronal trafficking discovered in cultured neurons and expanded them to an <italic>in vivo</italic> setting. There are striking similarities in the properties of mitochondrial transport between <italic>in vitro</italic> and <italic>in vivo</italic> systems. For instance, more organelles are consistently transported in the anterograde than in the retrograde direction, both in young and old neurons (<xref ref-type="bibr" rid="B126">Vagnoni et al., 2016</xref>; <xref ref-type="bibr" rid="B84">Misgeld and Schwarz, 2017</xref>). What happens to the mitochondria that, seemingly, do not make the trip back along the axon is an open question and whether interfering with the anterograde/retrograde ratio has an impact on ageing is unknown. It is still unclear if the &#x2018;transport imbalance&#x2019; may be coupled to the recycling of the organelles (<xref ref-type="bibr" rid="B82">Miller and Sheetz, 2004</xref>; <xref ref-type="bibr" rid="B73">Maday and Holzbaur, 2014</xref>; <xref ref-type="bibr" rid="B66">Lin et al., 2017</xref>) with <italic>in vitro</italic> studies suggesting that motile mitochondria may become anchored at sites of functional requirement such as synapses or nodes of Ranvier (<xref ref-type="bibr" rid="B20">Chang et al., 2006</xref>; <xref ref-type="bibr" rid="B90">Obashi and Okabe, 2013</xref>; <xref ref-type="bibr" rid="B62">Lewis et al., 2016</xref>; <xref ref-type="bibr" rid="B48">Gutnick et al., 2019</xref>). A notable exception are the ALM sensory neurons of <italic>C. elegans</italic> where mitochondria are transported with a retrograde bias throughout life (<xref ref-type="bibr" rid="B87">Morsci et al., 2016</xref>). Interestingly, these neurons lack synaptic connections, suggesting that synaptic activity may play a crucial role in determining the anterograde transport bias of mitochondria in mature neurons. Whatever the mechanism accounting for the majority of mitochondria constantly travelling in the anterograde direction, this is an evolutionary conserved feature likely to support a fundamental cellular demand.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Outstanding and new questions facing the field of neuronal trafficking during ageing.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<tbody>
<tr>
<td valign="top" align="left">Outstanding</td>
<td valign="top" align="justify">What are the functional consequences of transport decline of specific cargoes?</td>
</tr>
<tr>
<td/>
<td valign="top" align="justify">Can we tease out cell-autonomous from non-cell-autonomous mechanisms affecting cargo transport?</td>
</tr>
<tr>
<td/>
<td valign="top" align="justify">Is the cytoskeleton structure rearranged during ageing? If so, how does this impact transport?</td>
</tr>
<tr>
<td/>
<td valign="top" align="justify">Do specific post-translational modifications of key components of the transport machinery (e.g., motors, adaptors, microtubules, microtubule-associated proteins, and regulatory kinases) affect cargo trafficking during ageing?</td>
</tr>
<tr>
<td/>
<td valign="top" align="justify">How does a neuron sustain the transport imbalance of certain cargoes (i.e., many more cargoes continously transported with an anterograde bias)?</td>
</tr>
<tr>
<td valign="top" align="left">New</td>
<td valign="top" align="justify">What is the functional relevance of the timing of cargo decline during ageing (i.e., early vs. late decline)?</td>
</tr>
<tr>
<td/>
<td valign="top" align="justify">Are specific subsets of neurons more sensitive to age-dependent transport decline that could predispose them to degeneration, hence contributing to neuronal specificity in some neurodegenerative conditions?</td>
</tr>
<tr>
<td/>
<td valign="top" align="justify">Are neurons able to sustain a prolonged upregulation of cargo transport, either through genetic or chemical modification, that could alleviate age-related dysfunction?</td>
</tr>
<tr>
<td/>
<td valign="top" align="justify">What is the composition of the cytoplasmic milieu in ageing cells and how does this affect cargo transport?</td>
</tr>
<tr>
<td/>
<td valign="top" align="justify">Does the architecture and recruitment of the cargo transport machinery change during ageing? Does the changing abundance of motor and adaptor proteins favour the formation of specific transport complexes that are less likely to form in early life?</td>
</tr>
</tbody>
</table></table-wrap>
<p>Imbalanced mitochondrial biogenesis (<xref ref-type="bibr" rid="B70">L&#x00F3;pez-Lluch et al., 2008</xref>; <xref ref-type="bibr" rid="B108">Seo et al., 2010</xref>) and changes in mitochondrial fission and fusion (<xref ref-type="bibr" rid="B17">Cao et al., 2017</xref>) were observed during ageing, although a mechanistic association with mitochondrial transport and distribution is still unclear at this stage. It is not known whether mitochondrial anterograde bias throughout life and age-dependent transport decline lead to toxic accumulation in the soma or to a depletion of the organelle over time (<xref ref-type="bibr" rid="B87">Morsci et al., 2016</xref>). This is an open question which deserves further investigation.</p>
<p>A progressive and specific decline in the motility of mitochondria has been observed during developmental maturation of cortical axons in live mice up to 45 days of age (<xref ref-type="bibr" rid="B62">Lewis et al., 2016</xref>; <xref ref-type="bibr" rid="B115">Smit-rigter et al., 2016</xref>) and in maturing dendrites of ganglion cells of retinal explants (<xref ref-type="bibr" rid="B31">Faits et al., 2016</xref>). The general reduction in motility is, in these cases, necessary to distribute the organelles by stably anchoring them at specific cellular sites. In this light, it is tempting to speculate that decline in mitochondrial transport in mature neurons may be part of a run-on of developmental processes (<xref ref-type="bibr" rid="B5">Azpurua et al., 2018</xref>; <xref ref-type="bibr" rid="B30">Ezcurra et al., 2018</xref>). Thus, early transport decline, beneficial during development, may become detrimental in later life when the functional demand of a neuron changes, by contributing to age-dependent decline of neuronal functions such as reduction of ATP production (<xref ref-type="bibr" rid="B56">Kim et al., 2018</xref>), impaired calcium homeostasis (<xref ref-type="bibr" rid="B89">Nikoletopoulou and Tavernarakis, 2012</xref>) and increased oxidative stress (<xref ref-type="bibr" rid="B19">Castelli et al., 2019</xref>). Choosing the appropriate window of time to upregulate the transport therefore appears crucial to be able to meaningfully impact on neuronal health in later life (<xref ref-type="bibr" rid="B125">Vagnoni and Bullock, 2018</xref>).</p>
</sec>
<sec id="S6">
<title>Outlook</title>
<p>In spite of the strong association between axonal transport and the maintenance of neuronal health, it is unclear how modulation of transport mechanistically affects neuronal ageing phenotypes. Mitochondria are the best characterised cargoes in transport studies during ageing and their transport and function are closely linked (<xref ref-type="bibr" rid="B106">Saxton et al., 2012</xref>). It is therefore conceivable that an early decrease in motility could trigger a rapid and dysfunctional response from the mitochondria (&#x2018;transport to function&#x2019; hypothesis, <xref ref-type="fig" rid="F2">Figure 2</xref>). This may represent a causal event at the beginning of a damaging cascade leading to late onset neuronal dysfunction.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Mitochondrial motility and function are coupled and influence neuronal ageing. Mitochondrial transport and function are closely linked and we hypothesise that impaired motility leads to a loss of organellar functionality. Dysfunctional mitochondria, in turn, can affect their own motility, with a net result of locking the organelles into a vicious cycle of transport-function impairment. This is predicted to culminate in the accumulation of stalled and dysfunctional mitochondria, thus significantly contributing to the ageing process of neurons by failing to meet the functional demands of ageing cells.</p></caption>
<graphic xlink:href="fncel-13-00393-g002.tif"/>
</fig>
<p>Mitochondria accumulate damage over time (<xref ref-type="bibr" rid="B14">Bratic and Larsson, 2013</xref>; <xref ref-type="bibr" rid="B96">Payne and Chinnery, 2015</xref>; <xref ref-type="bibr" rid="B120">Sun et al., 2016</xref>) and it has been suggested that mitochondrial dysfunction leads to transport reduction (<xref ref-type="bibr" rid="B82">Miller and Sheetz, 2004</xref>; <xref ref-type="bibr" rid="B131">Wang et al., 2011</xref>; <xref ref-type="bibr" rid="B53">Hwang et al., 2014</xref>; <xref ref-type="bibr" rid="B45">Grimm et al., 2018</xref>). Therefore, it is also possible that early mitochondrial damage could induce transport decline in early life (&#x2018;function to transport&#x2019; hypothesis, <xref ref-type="fig" rid="F2">Figure 2</xref>). Reduced transport may, in turn, trigger a deleterious functional response in a vicious cycle that would ultimately lead to cellular dysfunction with increased age (<xref ref-type="fig" rid="F2">Figure 2</xref>). Increased abundance of proteins involved in mitochondria function has been correlated to cognitive stability during human ageing and it would be interesting to understand whether these molecules impact on mitochondrial transport in later life (<xref ref-type="bibr" rid="B134">Wingo et al., 2019</xref>). Future studies should address in more detail the precise temporal cascade of events linking decreased motility to cellular dysfunction. Combining the knowledge derived from different model systems is predicted to facilitate our understanding of how mitochondrial transport is integrated within other cellular processes to affect ageing of neurons.</p>
<p>Gaining deeper insight into the mechanisms controlling age-dependent failure of cargo transport, including expanding the repertoire or cargoes imaged, might prove critical to understand how neuronal health declines in ageing organisms (<xref ref-type="table" rid="T1">Table 1</xref>). Early impairments to regulatory nodes of intracellular trafficking could represent the initial hits of a multi-hit model of neurodegeneration (<xref ref-type="bibr" rid="B119">Sulzer, 2007</xref>; <xref ref-type="bibr" rid="B38">Garden and La Spada, 2012</xref>). In this view, it becomes a priority to identify early phenotypes at the beginning of a cascade of events leading to neuronal dysfunction. Recognising viable targets to restore cargo transport during ageing may therefore prove essential. Motor abundance (<xref ref-type="bibr" rid="B99">Puthanveettil et al., 2008</xref>; <xref ref-type="bibr" rid="B63">Li et al., 2016</xref>; <xref ref-type="bibr" rid="B125">Vagnoni and Bullock, 2018</xref>; <xref ref-type="bibr" rid="B6">Badal et al., 2019</xref>) and the activity of signalling pathways linked to lifespan extension (<xref ref-type="bibr" rid="B63">Li et al., 2016</xref>; <xref ref-type="bibr" rid="B87">Morsci et al., 2016</xref>; <xref ref-type="bibr" rid="B125">Vagnoni and Bullock, 2018</xref>) are potential candidates, even though these studies are limited to only few cargoes. More work is needed to understand the general mechanisms governing intracellular trafficking during ageing in a bid to target axonal transport, in conjunction with other cellular processes (<xref ref-type="bibr" rid="B103">Riera and Dillin, 2015</xref>), to improve the health of neurons during ageing (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
</sec>
<sec id="S7">
<title>Author Contributions</title>
<p>AV wrote the initial draft of the manuscript with significant contribution from FM. AV and FM revised and approved the manuscript.</p>
</sec>
<sec id="conf1">
<title>Conflict of Interest Statement</title>
<p>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.</p>
</sec>
</body>
<back>
<fn-group>
<fn fn-type="financial-disclosure">
<p><bold>Funding.</bold> This work was funded through a NC3Rs David Sainsbury Fellowship and SKT grants (NC/N001753/2 and NC/T001224/1), a van Geest Ph.D. Studentship and a van Geest Fellowship in Dementia and Neurodegeneration from King&#x2019;s College London, a Royal Society Research Grant (RGS\R2\180450), an Academy of Medical Sciences Springboard Award (SBF004\1088), and a BBSRC CTP Studentship (BB/T508597/1) to AV.</p>
</fn>
</fn-group>
<ack>
<p>We would like to thank James Sleigh (UCL-IoN, United Kingdom) and Marina Ezcurra (University of Kent, United Kingdom) for critically reading the manuscript, Claire Fraser (University of Sidney, Australia) for suggestions with the human studies and the three reviewers for their comments on the manuscript.</p>
</ack>
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