Abstract
Cerebrospinal fluid (CSF) in the subarachnoid space around the brain has long been known to drain through the lymphatics to cervical lymph nodes1–17, but the connections and regulation have been challenging to identify. Here, using fluorescent CSF tracers in Prox1-GFP lymphatic reporter mice18, we found that the nasopharyngeal lymphatic plexus is a major hub for CSF outflow to deep cervical lymph nodes. This plexus had unusual valves and short lymphangions but no smooth-muscle coverage, whereas downstream deep cervical lymphatics had typical semilunar valves, long lymphangions and smooth muscle coverage that transported CSF to the deep cervical lymph nodes. α-Adrenergic and nitric oxide signalling in the smooth muscle cells regulated CSF drainage through the transport properties of deep cervical lymphatics. During ageing, the nasopharyngeal lymphatic plexus atrophied, but deep cervical lymphatics were not similarly altered, and CSF outflow could still be increased by adrenergic or nitric oxide signalling. Single-cell analysis of gene expression in lymphatic endothelial cells of the nasopharyngeal plexus of aged mice revealed increased type I interferon signalling and other inflammatory cytokines. The importance of evidence for the nasopharyngeal lymphatic plexus functioning as a CSF outflow hub is highlighted by its regression during ageing. Yet, the ageing-resistant pharmacological activation of deep cervical lymphatic transport towards lymph nodes can still increase CSF outflow, offering an approach for augmenting CSF clearance in age-related neurological conditions in which greater efflux would be beneficial.
Subject terms: Ageing, Nervous system
The nasopharyngeal lymphatic plexus is a major hub for cerebrospinal fluid outflow to deep cervical lymph nodes.
Main
CSF is essential for mechanical protection, nourishment and clearing of neurotransmitters, metabolites and protein aggregates such as amyloid-β and tau from the central nervous system17,19. CSF is continuously secreted by the choroid plexus into the cerebral ventricles and subarachnoid space, circulates within and around the brain and spinal cord, and turns over 3 to 5 times per day19. The regulation of CSF production, circulation and drainage is receiving increasing attention due to evidence that reduced CSF secretion and/or clearance during ageing could contribute to the development of Alzheimer’s disease and other neurodegenerative conditions20–23.
Among the known routes for CSF drainage from the subarachnoid space are lymphatics in the cribriform plate, where olfactory nerves pass through the ethmoid bone, and in the perineurium of cranial nerves8,17,24. Lymphatics in the dura mater also function as a CSF drainage route9–17,25. However, despite solid documentation of the contribution of lymphatics to CSF clearance, the connections between the subarachnoid space and extracranial lymphatics involved in CSF clearance have been challenging to elucidate.
A landmark study1 provided evidence for CSF outflow to the nasopharynx by finding Richardson’s blue dye in the lymphatics of the nasal and palatal mucosa after injection of the tracer into the subarachnoid space1. Other studies4–7 revealed that dye or Microfil silicone rubber injected into the subarachnoid space subsequently appears in the nasal lymphatics and in the perineurium of cranial nerves. A previous study12 reported that CSF can drain through lymphatics of the pharynx. A magnetic resonance imaging (MRI) study26 provided further evidence of CSF outflow through the cribriform plate to the nasopharynx. A recent study27 provided additional observations on the connections between the subarachnoid space and lymphatic vessels around olfactory nerves that cross the cribriform plate en route to the nasal mucosa. Another study16 observed connections between intracranial lymphatics and extracranial lymphatics using light-sheet fluorescence microscopy after injection of ovalbumin–Alexa Fluor 555 (OVA–Alexa Fluor 555) conjugate into CSF or by MRI after systemic injection of gadolinium-based contrast agent. However, tracing OVA–Alexa Fluor 555 in fixed tissues was confounded by phagocytosis of the tracer by macrophages. Our own MRI study revealed a strong signal at the skull base from a contrast agent in the CSF, but connections to extracranial lymphatics could not be identified owing to the limited resolution15. Evidence from these and other studies suggests that CSF can be drained through nasopharyngeal lymphatics, but their connections and functional properties relating to CSF outflow under normal conditions and during ageing have proven to be difficult to characterize.
To solve this problem, we performed fluorescence microscopy imaging of CSF outflow in anaesthetized prospero-related homeobox 1–green fluorescence protein (Prox1-GFP) reporter mice18 after surgical exposure of the nasopharyngeal and other cervical lymphatics. This approach revealed a distinctive lymphatic plexus in the nasopharynx that functioned as a hub for CSF outflow through lymphatics from the cribriform plate and select other intracranial regions en route to deep cervical lymph nodes (dcLNs). This nasopharyngeal lymphatic plexus (NPLP) regressed and underwent transcriptomic changes with ageing. By contrast, deep cervical lymphatics, which were covered by smooth muscle and carried CSF from the plexus to lymph nodes, did not change during ageing. The contractile properties of these lymphatics were regulated by α-adrenergic and nitric oxide (NO) signalling, and CSF outflow could still be increased by pharmacological activation of CSF transport in aged mice.
Distinctive features of the NPLP
The lymphatics in the mucosa of the nasopharynx formed a distinctive NPLP that was conspicuous in Prox1-GFP lymphatic reporter mice18 after staining for LYVE1 and VEGFR3 (Fig. 1, Extended Data Fig. 1a,b and Supplementary Fig. 1a,b). The rostral end of the lymphatic plexus was connected to the flattened, condensed, highly anastomotic posterior nasal lymphatic plexus that also stained positively for PROX1–GFP and LYVE1 but stained weakly with VEGFR3 (Fig. 1a, Extended Data Fig. 1a,b and Supplementary Fig. 1a). The two lymphatic plexuses covered all surfaces of the posterior nasal cavity and nasopharynx except near the skull base (Fig. 1a, Extended Data Fig. 1a,b and Supplementary Fig. 1b).
The NPLP had 45–65 irregular, linearly shaped valves that stained positive for PROX1–GFP and laminin-α5, but no smooth-muscle coverage was evident after staining for α-smooth muscle actin (αSMA; Fig. 1a and Supplementary Fig. 1c,d). The segments between valves (lymphangions) were unusually short (Fig. 1a and Supplementary Fig. 1a–d). The plexus resembled an inverted saddle when viewed in three dimensions (Fig. 1b and Supplementary Video 1). Owing to these features, the lymphatics of the plexus were unlike individual initial lymphatics in most peripheral organs or collecting lymphatics that have semilunar valves, long lymphangions and smooth muscle coverage (Supplementary Fig. 1c). A similar lymphatic plexus was found in the nasopharynx of the primate, Macaca fascicularis (Extended Data Fig. 2a,b), consistent with conservation of these features among species. However, in M. fascicularis, the lymphatics had typical semilunar valves (Extended Data Fig. 2a,b), in contrast to those in mice.
The NPLP as a route for CSF outflow
To determine whether the NPLP was a route for CSF outflow, we infused 3 μl of 10 kDa tetramethylrhodamine-conjugated dextran (TMR–dextran) in PBS at 1 μl min−1 for 3 min into the subarachnoid space at the cisterna magna of anaesthetized Prox1-GFP mice. At 60 min, TMR–dextran fluorescence traced using a fluorescence stereomicroscope was concentrated in the olfactory bulb, cribriform plate, anterior cranial fossa (above the presphenoid bone) and middle cranial fossa (above the basisphenoid bone) adjacent to the nasopharynx (Fig. 2a,b). TMR–dextran was also visible in the CSF over the dorsal surface of the cerebellum and around the cervical spinal cord (Fig. 2b).
These findings led us to learn more about nasopharyngeal lymphatics as a CSF outflow route. At 30 min after infusion into the cisterna magna, TMR–dextran was detected in the lymphatics of the nasopharynx, deep cervical lymphatics and dcLNs, but not in the lymphatics of the oropharynx or soft palate (Fig. 2c–f, Supplementary Fig. 2a–c and Supplementary Video 2). TMR–dextran was also detected in the superficial cervical lymph nodes at 30 min (Supplementary Fig. 3a–c), but these nodes were not downstream to the NPLP and deep cervical lymphatics. This indicates that the CSF outflow that reached the superficial lymph nodes did not flow through the nasopharyngeal lymphatics.
The lymphatics of the nasopharynx had unusual PROX1–GFP+ valves, as described above (Fig. 2d,e, Supplementary Fig. 1a,c and Supplementary Video 2). Although PROX1–GFP+ lymphatics were abundant in the oropharynx, no TMR–dextran was detected there until 120 min after the intracisternal infusion (Fig. 2e,f and Supplementary Video 3). As evidence that the findings were not specific to 10 kDa TMR–dextran, we obtained similar results after intracisternal infusion of 70 kDa TMR–dextran, Texas-Red–ovalbumin or 0.5 µm FluoSpheres (Supplementary Fig. 4a–d). These findings are further evidence that CSF drains through the NPLP but not through the oropharyngeal lymphatic plexus.
Morphological features of the NPLP
Initial lymphatics, also called lymphatic capillaries, which are specialized for the uptake of fluid and macromolecules, have button-like intercellular junctions and lack smooth-muscle-cell coverage28,29. By contrast, collecting lymphatics, which propel lymph downstream by undergoing rhythmic contractions, have zipper-like junctions, smooth-muscle coverage and valves to prevent retrograde flow28–30. Precollecting lymphatics have features of both types of lymphatics, in that they lack smooth-muscle coverage but have valves and a mixture of button-like and zipper-like junctions28–30. Some lymphatics in the nasopharyngeal plexus had little or no LYVE1 immunoreactivity, whereas others had strong LYVE1 staining. Those with weak LYVE1 staining had zipper-like junctions (Extended Data Fig. 3a,b), which fits more with transport than fluid entry. By contrast, the lymphatics in the plexus with strong LYVE1 staining had a mixture of intercellular junctions: zipper-like (47%), mixed (32%) and button-like (21%) (Extended Data Fig. 3a,b), which are features that are consistent more with fluid uptake than transport. On the basis of the mixture of button-like and zipper junctions, variable LYVE1 staining and the absence of smooth muscle, the lymphatics of the nasopharyngeal plexus had features of both lymphatic capillaries and collecting lymphatics and, therefore, fit the description of precollecting lymphatics.
Connections of the NPLP
We next sought to find the upstream connections of the NPLP in Prox1-GFP mice by tracing fluorescent 0.5 µm beads (FluoSpheres) using confocal fluorescence microscopy after infusion into the subarachnoid space (Methods). As the FluoSpheres remained in place during tissue processing, this approach enabled the identification of lymphatics near the pituitary that extended along cranial nerve V and the cavernous sinus to the NPLP (Extended Data Fig. 4a–c and Supplementary Video 4). The lymphatics contained FluoSpheres (Extended Data Fig. 4d), consistent with the connection to the subarachnoid space. Although some lymphatics in optical sections appeared to be discontinuous (Extended Data Fig. 4d), examination of confocal image stacks confirmed their continuity and also the intralymphatic location of the beads. FluoSphere-containing lymphatics along the pterygopalatine artery (PPA) also connected to the lymphatic plexus through the posterior nasal lymphatic plexus (Extended Data Fig. 5a–c and Supplementary Video 5).
In Prox1-GFP mice, LYVE1+ lymphatics in the dura near the olfactory bulb crossed the cribriform plate with sensory axons of olfactory nerves and then connected to the LYVE1− lymphatic plexus in the olfactory mucosa and joined the posterior nasal lymphatic plexus (Extended Data Fig. 6a–d and Supplementary Video 6), as described in a recent report27. The lymphatics in these regions were found to contain FluoSpheres at 30 min after intracisternal injection into the CSF (Extended Data Fig. 6c,d), but the anatomical connections of individual lymphatics to the subarachnoid space could not be discerned. Thus, at least two groups of lymphatics appeared to be responsible for CSF outflow from the middle cranial fossa, including the pituitary and cavernous sinus, while the third carried CSF from the cribriform plate and other regions of the anterior cranial fossa (Fig. 3a).
Lymphatics downstream to the nasopharyngeal plexus included four lymphatic branches (upper right and left, and lower right and left) that were visible after removing the soft palate and other tissues around the nasopharynx in Prox1-GFP mice (Extended Data Fig. 7a). The upper and lower lymphatic branches on the right or left merged at the caudal end of the eustachian tube and extended to the right or left medial deep cervical lymphatic vessels (dcLVs; medial cervical lymphatics) (Extended Data Fig. 7a,b). These findings provide evidence that CSF drains through lymphatics that traverse the anterior and middle cranial fossae including the cribriform plate, join the NPLP and pass downstream through the medial cervical lymphatics en route to dcLNs (cervical lymph nodes) (Fig. 3a).
VEGF-C-stimulated expansion of the NPLP
To determine whether the nasopharyngeal plexus can be expanded, mouse vascular endothelial growth factor-C (VEGF-C) was overexpressed in Prox1-GFP mice by intracisternal delivery of 3 × 1010 gene copies of adeno-associated virus serotype 9 encoding mouse VEGF-C-mCherry (AAV9-mVEGF-C-mCherry) or control AAV9-mCherry (Extended Data Fig. 8a). Then, 3 weeks after viral delivery, histological examination of mCherry fluorescence revealed mVEGF-C expression around the plexus and dural lymphatics but not around the diaphragmatic lymphatics (Extended Data Fig. 8b). The lymphatics in the plexus and dura in the AAV9-mVEGF-C-mCherry group were expanded 1.7- and 15.4-fold, respectively, compared with the AAV9-mCherry control group, but no change was found in the diaphragm (Extended Data Fig. 8b,c).
At 30 min after intracisternal infusion, TMR–dextran in the dcLNs of the AAV9-mVEGF-C-mCherry group was 3.5-fold higher than in the control group (Extended Data Fig. 8d). These findings are evidence that the NPLP can be expanded by overexpression of VEGF-C and, importantly, provide proof of concept for a strategy for increasing CSF outflow by expansion of the NPLP.
Connection of the NPLP to the dcLNs
The nasopharyngeal plexus in Prox1-GFP mice was connected downstream to medial cervical lymphatics that drained to the dcLNs (Fig. 3b, Extended Data Fig. 7a,b and Supplementary Fig. 5). Medial cervical lymphatics had conventional semilunar valves that were spaced 250–750 µm apart throughout their length to lymph nodes (Fig. 3c–f and Extended Data Fig. 7b). These lymphatics had a dense but uneven layer of circular αSMA+ smooth-muscle cells along their entire length (Fig. 3c–e and Extended Data Fig. 7b) and were accompanied by adrenergic axons, identified by staining for tyrosine phosphatase and β3-tubulin, but not by cholinergic axons, identified by staining for vesicular acetylcholine transporter (VAChT) and β3-tubulin (Fig. 3g and Supplementary Fig. 6a,b).
Other lymphatics, positioned laterally in the neck (lateral cervical lymphatics, lateral dcLVs), extended from the basolateral dura through the jugular foramen to dcLNs (Fig. 3b and Supplementary Fig. 7a–f). Like medial cervical lymphatics, lateral cervical lymphatics had semilunar valves and smooth-muscle coverage (Fig. 3b–d). These deep cervical lymphatics have contractile lymphangions (lymphangion pumps) that can potentially propel lymph flow to lymph nodes by undergoing spontaneous, cyclical contractions31. Consistent with their different upstream connections, medial cervical lymphatics appeared to transport CSF from the nasopharyngeal plexus en route to dcLNs, whereas lateral cervical lymphatics were routes for CSF drainage from the basolateral dural lymphatics to dcLNs (Fig. 3a).
To compare the amounts of CSF drainage through the medial and lateral cervical lymphatics, we measured TMR–dextran fluorescence after intracisternal infusion of TMR–dextran (1.0 μl min−1 of TMR–dextran for 3 min) into Prox1–GFP mice (Fig. 4a). At 30, 60 and 120 min after infusion, TMR–dextran fluorescence in medial cervical lymphatics was 7.1-fold, 5.2-fold and 3.4-fold the amount in lateral cervical lymphatics (Fig. 4b–d). TMR–dextran in the anterior and middle intracranial regions that drained through medial cervical lymphatics was 2.6-fold higher than the amount of TMR–dextran in the posterior region that drained through lateral cervical lymphatics at the skull base (Supplementary Fig. 8). The findings provided evidence of drainage of CSF in the anterior and central regions of the skull base through perineural lymphatics that exit the skull en route to the NPLP, medial cervical lymphatics and dcLNs, before entering the systemic blood circulation.
We next measured TMR–dextran accumulation in the dcLNs 24 h after ligation of medial or lateral cervical lymphatics (Fig. 4e,f). In these experiments, TMR–dextran was infused into the hippocampus (0.1 μl min−1 of TMR–dextran for 3 min) rather than the cisterna magna, because the accumulation of TMR–dextran in the dcLNs over 120 min was slower and less variable under the baseline conditions (Supplementary Fig. 9a–c). Compared with the sham-operated controls, ligation of medial cervical lymphatics was followed by a 70–80% decrease in TMR–dextran in lymph nodes at 120 min after infusion, whereas the reduction was significantly less (40–50%) after ligation of the lateral cervical lymphatics (Fig. 4g). This difference is evidence that CSF drainage through the medial deep cervical lymphatics to the cervical lymph nodes was on average 180% greater compared with CSF drainage through the lateral route. We therefore examined whether the CSF outflow to deep cervical lymphatics could be increased by activation of rhythmic contraction and relaxation of the lymphatics.
Control of CSF outflow through deep cervical lymphatics
As the next step, we examined whether CSF outflow could be regulated by pharmacological activation of medial cervical lymphatics. We addressed this question by topical application of the α1-adrenergic agonist phenylephrine, or the NO donor sodium nitroprusside, to exposed medial cervical lymphatics of Prox1-GFP mice 30 min after intracisternal infusion of TMR–dextran. Thereafter, the lymphatic diameter and TMR–dextran fluorescence were measured in the lymphatics over 20 min (Fig. 5a), as described for other lymphatics32. Topical application of phenylephrine (50 μM, 500 μM or 5 mM) triggered both phasic and tonic lymphatic contractions and reduced TMR–dextran fluorescence in a concentration-dependent manner (Fig. 5b,c). By contrast, topical application of sodium nitroprusside (25 mM) increased the lymphatic diameter by 50–70% over the entire period of observation and transiently increased TMR–dextran fluorescence by 25–35% over the first 5 min (Fig. 5b,c). No changes in the diameter or TMR–dextran fluorescence were found after topical application of PBS (Fig. 5b,c). These findings provide evidence that the diameter of the medial cervical lymphatics increased with NO-mediated dilatation and decreased with α1-adrenergic-mediated constriction. Here we found that topical application of phenylephrine at a high concentration (5 mM) led to a 44% decrease in TMR–dextran fluorescence in the dcLNs, and sodium nitroprusside (3 μM) increased the fluorescence by 33% (Extended Data Fig. 9a–c). However, topical application of a low concentration of phenylephrine (10 nM) increased TMR–dextran fluorescence in the dcLNs by 51%, even more than sodium nitroprusside (Extended Data Fig. 9a–c). These findings provide evidence that CSF outflow can be increased by pharmacological manipulation of smooth muscle cells on deep cervical lymphatics.
Ageing-related atrophy of the NPLP
Vascular alterations are common during ageing33, and lymphatics are no exception34,35. Moreover, CSF outflow to dcLNs decreases with age in mice12,15,21,26. We examined whether ageing-related changes occurred in the nasopharyngeal plexus or medial cervical lymphatics by comparing mice aged 8–12 weeks (adult mice) with aged 73–102 weeks (aged mice). Analysis of the nasopharyngeal plexus in the aged mice revealed that the area of PROX1–GFP fluorescence was 14% less, the number of PROX1–GFP+FOXC2+ valves was 41% less, but LYVE1 staining was 64% greater and VEGFR3 staining was not different compared to adult mice (Fig. 6a,b and Supplementary Fig. 10).
Endothelial cells in the NPLP stained for PROX1–GFP and LYVE1 in mice aged 8–10 weeks had an oak-leaf shape, had a mixture of button junctions, zipper junctions and junctions with intermediate features, and lacked smooth-muscle coverage (Fig. 6a and Extended Data Fig. 10a). However, endothelial cells in this lymphatic plexus in aged mice had multiple abnormal features (Fig. 6a,b). Staining for phosphorylated tau and apoptosis (TUNEL) in these cells of aged mice was 2.5-fold and 7.4-fold greater than the corresponding values in adult mice (Extended Data Fig. 10b,c), raising the possibility that phosphorylated tau accumulation in the CSF contributes to the regression of the plexus in aged mice. By contrast, lymphatic valves, smooth-muscle cell coverage, and the length and diameter of the lymphangions of medial cervical lymphatics were similar in mice of both age groups (Extended Data Fig. 10d,e). These data are consistent with the contribution of ageing-related regression of the nasopharyngeal plexus to the reduction in CSF outflow to dcLNs in aged mice.
To determine the reversibility of the regression of the nasopharyngeal plexus and reduced CSF outflow to dcLNs in aged mice, we expanded the plexus by infusing AAV9-mVEGF-C-mCherry or AAV9-mCherry controls (3 × 1010 gene copies) into the cisterna magna of Prox1-GFP mice aged 75–78 weeks (Extended Data Fig. 11a). Three weeks later, the size of the PROX1+ plexus in the AAV9-mVEGF-C group was 1.3-fold greater than the size in the AAV9-mCherry controls (Extended Data Fig. 11b,c). CSF outflow to the posterior nasal and nasopharyngeal plexuses in the AAV9-mVEGF-C group was confirmed by intracisternal infusion of 0.5 µm FluoSpheres (Extended Data Fig. 11d). The AAV9-mVEGF-C group had a 2.6-fold higher amount of CSF outflow to dcLNs, assessed 30 min after intracisternal infusion of TMR–dextran, compared with the AAV9-mCherry controls (Extended Data Fig. 11e). These changes in aged mice were statistically significant but less than observed in 10-week-old mice (Extended Data Fig. 8b–d).
Functional impairment of the NPLP with ageing
To determine whether the physiological and pharmacological properties of the medial cervical lymphatics changed during ageing, we performed ex vivo functional tests on isolated, pressurized single lymphangions (Extended Data Fig. 12a) using previously described methods36–38. Most lymphatics near the dcLNs did not have substantial (>5 μm) spontaneous contractions at any pressure between 0.5 and 10 cmH2O (Extended Data Fig. 12b), as reported for other lymphatics in some regions of the mouse36. Segments of medial cervical lymphatics further from lymph nodes were more likely to develop spontaneous contractions (Extended Data Fig. 12c), with amplitudes of 15–20 μm and ejection fractions of 0.31–0.37 at some pressures. Similarly, most of these lymphatics developed only 5–10% spontaneous tone (Extended Data Fig. 12d), and tone did not increase with pressure, as observed in popliteal and inguinal-axillary lymphatics36. Most medial cervical lymphatics constricted after abluminal application of phenylephrine, and some were exquisitely sensitive (Extended Data Fig. 12e), with the threshold concentration <10 nM. In those cases, phenylephrine induced spontaneous contractions of variable amplitude (Extended Data Fig. 12e). As the lymphatics had little or no spontaneous tone, we could not assess responses to NO donors unless the vessels were preconstricted with phenylephrine. Thus, medial cervical lymphatics were exposed to increasing concentrations of phenylephrine until the constriction plateaued. The average tone achieved was around 30% of passive diameter, with a median effective concentration (EC50) ≈ 50 nM for phenylephrine (Extended Data Fig. 12f). Responses to the NO donor sodium NONOate were tested at this tone. The lymphatics were quite sensitive to NONOate, with IC50 ≈ 300 nM for adult mice (Extended Data Fig. 12g). The lymphatics of aged mice responded similarly but were slightly less sensitive to phenylephrine and sodium NONOate (phenylephrine EC50 ≈ 200 nM and less total dilatation for NONOate), but the differences between adult and aged mice were not statistically significant (Extended Data Fig. 12f,g).
As longitudinal intravital imaging of CSF outflow in the NPLP was not feasible, we estimated the CSF outflow from measurements of TMR–dextran in the medial cervical lymphatics over a 30 min period after intracisternal infusion (Fig. 7a). TMR–dextran fluorescence was 34.1%, 45.1% and 28.8% less in the lymphatics of aged mice at 5, 10 and 15 min compared with in the lymphatics of adult mice (Fig. 7b,c). The pattern was similar at 20 and 30 min (Fig. 7b,c). Similarly, TMR–dextran fluorescence was 59% less in the dcLNs of aged mice at 30 min (Fig. 7d,e). Despite these differences, the size of dcLNs and the extent of PROX1+LYVE1+ lymphatics within them were not significantly different in adult and aged mice (Supplementary Fig. 11a,b). Together, these findings document the reduction in CSF outflow through the atrophic nasopharyngeal plexus in aged mice. They also reveal the preservation of the structure and function of medial cervical lymphatics and dcLNs during ageing of these mice.
Transcriptomic changes in the NPLP with ageing
To gain further insights into ageing-related changes in lymphatic endothelial cells (LECs) of the nasopharyngeal plexus, we performed single-cell RNA-sequencing (scRNA-seq) analysis of LECs isolated from the nasopharyngeal mucosa of adult (aged 10–12 weeks) and aged (aged 73–80 weeks) mice. Unsupervised clustering analysis of 842 single cells from 30 adult mice revealed five distinct clusters of LECs (Extended Data Fig. 13a). Five subclusters were distinguished according to their differential gene expressions and were annotated by expression of known LEC subtype marker genes (Extended Data Fig. 13b). The pan-endothelial cell marker Cdh5 was highly expressed in all of the clusters, as was the pan-LEC marker, Prox1 (Extended Data Fig. 13c). The clusters were annotated as Ptx3+ capillary LECs (Ptx3+Stab2+), Ptx3− capillary LECs (Fndc1+Ptn+)39, precollecting LECs (Foxp2+Lyve1+), upstream-valve LECs (Cldn11+Gja4−) and downstream-valve LECs (Cldn11+Gja4+)40 (Extended Data Fig. 13c). Unexpectedly, the proportion of Ptx3+ capillary LECs, considered to be immune-interacting LECs39,41, was greater than the proportion of Ptx3− capillary LECs. The greater abundance of Ptx3+ LECs than Ptx3− LECs in the nasopharyngeal plexus was confirmed by immunofluorescence staining for PTX3 (Supplementary Fig. 12a,b). These transcriptomes were compared to those of 656 single LECs isolated from the nasopharyngeal mucosa of 25 aged mice. No difference was found in the five subclusters of LECs from adult and aged mice (Fig. 7f). However, heat-map and Gene Ontology (GO) analyses revealed that genes related to the apoptosis regulation and endothelial differentiation pathways in LECs were enriched more in adult mice compared with in aged mice (Fig. 7g and Extended Data Fig. 14a). By comparison, genes related to the response to type I interferon and regulation of leukocyte apoptosis and chemotaxis were enriched more in aged mice compared with in adult mice (Fig. 7g and Extended Data Fig. 14a). Moreover, expression of Mcl142 (anti-apoptotic gene) expression was lower in LECs of aged mice. Expression levels of Il33, Mhc genes, Irf7, Ifitm2, Ifitm3 and Zbp1, which are related to inflammation and the type I IFN signalling pathway43,44, were also higher in LECs of aged mice (Fig. 7h and Extended Data Fig. 14b). Overall, nasopharyngeal plexus LECs from aged mice had higher expression of pro-apoptotic and pro-inflammatory genes, which is a common feature of vascular ageing33.
As the next step, we sought to determine whether upregulation of type I interferon signalling promotes regression of lymphatics in the NPLP and reduces CSF outflow to dcLNs by testing the effect of blocking interferon receptor signalling in aged mice (Extended Data Fig. 15a). However, no differences were detected in the morphology of the plexus or CSF outflow to dcLNs after an anti-mouse interferon α/β receptor subunit 1 (IFNAR-1)-blocking antibody was injected intraperitoneally (i.p.) into aged mice every 3 days for 6 weeks (Extended Data Fig. 15b–e). Despite the absence of changes in these readouts, the IFNAR-1-blocking antibody markedly reduced cyclic guanosine monophosphate-adenosine monophosphate (cGAMP)-stimulated mRNA expression of the interferon-stimulated genes Oas2 and Mx2 in nasopharyngeal tissues, thereby confirming the efficacy of the antibody (Extended Data Fig. 15f,g). Future experiments could address the issue of whether inhibition of type I interferon signalling for periods longer than 6 weeks can reduce plexus atrophy and increase CSF drainage in aged mice.
Discussion
Our study identified the NPLP as a hub for CSF outflow. This lymphatic plexus was found to have unusual valves, short lymphangions and no smooth-muscle coverage. CSF from anterior and middle cranial regions of the subarachnoid space, including the pituitary gland, cavernous sinus and cribriform plate, drained through this lymphatic plexus to the dcLNs. Medial cervical lymphatics from the NPLP were found to be the largest drainage route for CSF to dcLNs. In contrast to the lymphatics in the plexus, medial cervical lymphatics had semilunar valves and smooth-muscle coverage typical of lymphangions that pumped towards lymph nodes. CSF outflow through the plexus and medial cervical lymphatic route downstream was on average 180% greater than through the lateral route from the basolateral dural lymphatics. The CSF outflow through the medial route was modulated by α-adrenergic activation and NO signalling in the lymphatic smooth muscle. Importantly, this feature was preserved during ageing, even when the nasopharyngeal plexus had atrophied, was functionally impaired and had LECs with pro-inflammatory changes in gene expression. Overall, the study highlights the importance of nasopharyngeal lymphatics and the transport properties of medial cervical lymphatics in CSF drainage. The study also highlights the potential for exploiting the sustained pharmacological responsiveness of medial cervical lymphatics to increase CSF outflow when clearance is impaired by ageing. These nearly inaccessible lymphatics can be functionally manipulated through drug effects on enhancing CSF transport.
Lymphatics are abundant in all regions of the upper respiratory tract, including the nose, nasopharynx and trachea45,46. They are also abundant in the hard and soft palates and other parts of the oral cavity. Despite this widespread presence of lymphatics, our study revealed that the lymphatics in the nasopharynx preferentially function as a route for CSF outflow to dcLNs. The nasopharynx is close to the cribriform plate and sphenoid bone, where cranial nerves I to VI exit the skull foramina. CSF outflow is known to drain through lymphatics in cranial nerve sheaths en route to lymph nodes in the neck2,5,17,20,24,25,47,48. Although we identified three upstream regions of lymphatics that connect to the nasopharyngeal plexus, additional lymphatics in cranial nerve sheaths contribute to CSF drainage24. Overall, these findings are consistent with a recent report16.
Cervical lymphatics are thought to be responsible for around 50% of CSF outflow to cervical lymph nodes3,12,17. The remainder of CSF outflow drains from the spinal cord to mediastinal, iliac and sacral lymph nodes14,24,49, or through perivascular spaces3, although lymphatics can contribute to the latter. Here we revealed that the nasopharyngeal/medial cervical lymphatic route carries more CSF than the basolateral dura/lateral cervical lymphatic route. For this reason, we consider the NPLP to be an important route for CSF outflow, particularly from the base of the skull. Our findings also documented the importance of the lymphangion-pumping action of medial cervical lymphatics in the regulation of CSF outflow from the skull anteriorly, whereas the lateral route has a similar role for CSF outflow from the dural lymphatics posteriorly.
We also found that CSF outflow is actively regulated by adrenergic and NO signalling in lymphatic smooth muscle. Although most medial cervical lymphatics examined ex vivo did not have appreciable tone or spontaneous contractions, as is typical of lymphatics from other regions ex vivo50, they were highly sensitive to phenylephrine. As a consequence, noradrenaline from sympathetic innervation and circulating catecholamines could increase tone and reactivity of these lymphatics. Indeed, the results indicate that the lymphatics have around 50% basal tone in vivo, which would enable NO donors to promote dilatation in the absence of exogenous phenylephrine. Importantly, our findings demonstrate that CSF drainage to dcLNs can be increased by topical application of a low concentration of phenylephrine or sodium nitroprusside to deep cervical lymphatics. However, pharmacological manipulation of deep cervical lymphatics in clinical applications would require less invasive approaches, such as innovative drug targeting or delivery methods. Methodological advancements could also enable measurement of the dynamics of deep cervical lymphatics in vivo. Nonetheless, the findings provide proof of concept for increasing CSF outflow by pharmacological manipulation of deep cervical lymphatics.
Among the limitations of our study, deep anaesthesia and removal of neck musculature were required to expose the nasopharynx and medial cervical lymphatics, both of which could alter the physiological dynamics of CSF drainage. Another potential limiting factor is the effect of surgical interventions on CSF drainage through lymphatics to the nasopharyngeal plexus, because cerebral blood flow and vascular pulsation contribute to CSF circulation, which in turn influences CSF outflow51. Although the imaging methods used were very informative, more advanced intravital imaging methods such as synchrotron X-ray imaging with CSF tracers could reveal additional features of the dynamics of CSF drainage through the nasopharyngeal plexus and medial cervical lymphatics under physiological conditions. The nasopharyngeal plexus expanded in response to VEGF-C overexpression and regressed naturally during ageing but could not be selectively ablated in mice in loss-of-function studies performed to determine the adaptability of other routes for CSF clearance.
The decrease in CSF outflow with ageing is reported to result from reduced CSF production, changes in intracranial circulation and impaired lymphatic efflux20,21,26,52–54. Although multiple factors can reduce lymphatic efflux, our findings indicate that ageing-related atrophy and molecular alterations in LECs of the nasopharyngeal plexus contribute to the reduction in CSF outflow. The most prominent alterations in aged mice were apoptosis and regression of LECs in the dorsal side of the plexus, which is the first destination of CSF outflow. The plexus also had fewer valves in aged mice. Although the mechanism of the ageing-related changes in lymphatics is unclear, contributing factors could be continuous exposure to metabolites and substances (for example, phosphorylated tau) from the brain. Further studies are warranted to identify the mechanisms underlying the alterations and to develop methods for their prevention and reversal. As the downstream deep cervical lymphatics were unchanged in aged mice, they are potential targets for pharmacological manipulation to increase CSF outflow under pathological conditions.
Despite technical challenges, sufficient LECs were isolated from the nasopharyngeal mucosa of adult and aged mice for meaningful scRNA-seq analysis. Typical of LECs of other organs39,55, nasopharyngeal lymphatics were found to have five distinct subclusters. The subcluster of Ptx3+ capillary LECs in the plexus was larger than in other organs39, raising the possibility of greater changes in inflammation or immune surveillance39,41. Genes related to inflammation and type I interferon signalling43,44 were enriched in aged LECs from the plexus, which is considered to be a hallmark of vascular ageing33 and is consistent with findings of a previous study21 in aged dural lymphatics.
Dysregulation of CSF outflow through dural lymphatics is reported to exaggerate the phenotype in models of Alzheimer’s disease21,23 and to delay recovery after experimental stroke56 or traumatic brain injury57. Despite the clinical relevance, the contribution of dural lymphatics to the severity of experimental autoimmune encephalomyelitis, an animal model of multiple sclerosis, is controversial. Some evidence22 indicates that the severity can be alleviated by reducing dural lymphatics, but more recent studies58,59 report little or no beneficial effect. Expansion of the dural lymphatic network with VEGF-C can increase resistance to glioblastoma progression by promoting immunosurveillance against the tumour60. These diverse activities illustrate that lymphatics not only contribute to CSF clearance but also to central nervous system immune surveillance, immune cell turnover, and other normal and pathological processes.
Overall, our findings emphasize the importance of the NPLP as a hub for CSF outflow and highlight the potential for increasing CSF outflow under pathological conditions by pharmacological activation of enhancing CSF transport through medial cervical lymphatics.
Methods
Study approval
All animal care and experimental procedures were approved by Institutional Animal Care and Use Committees of the Korea Advanced Institute of Science and Technology (KAIST) (KA2023-014-v1) and the University of Missouri (9797) for the mice and the Korea Research Institute of Bioscience & Biotechnology (KRIBB-AEC-22237) for the primates.
Animals
C57BL/6J mice (aged 8 to 12 weeks) were purchased from DBL or from JAX. Aged C57BL/6J mice (aged 73 to 102 weeks) were purchased from the Animal Center of Ageing Science of Korea Basic Science Institute or from JAX. Prox1-GFP mice18 (aged 8 to 12 weeks (adult) and 73 to 102 weeks (aged)) were bred and maintained under specific-pathogen-free conditions at KAIST. All of the mice fed with ad libitum access to a standard diet and water were bred under a 12 h–12 h light–dark cycle at 23–24 °C and 40–60% humidity. Mice of both sexes were used for all of the experiments. Mice were anaesthetized by i.p. injection of a mixture of anaesthetics (80 mg per kg ketamine and 8 mg per kg xylazine) or urethane (1.5 mg per kg) before or during being the procedures. The heart and respiratory rates of the mice were measured using a physiological monitoring system (75-1500, Harvard Apparatus). The body temperature was maintained at 36.5–37.5 °C during the entire surgical and imaging procedures. All experiments were performed during the light period. The head and neck portions of the primate (M. fascicularis, aged 6–13 years) were collected during autopsy at the National Primates Center of KRIBB.
Intravital imaging of CSF outflow from the nasopharynx to deep cervical lymphatics
To acquire intravital images of CSF outflow in the nasopharynx, and deep cervical lymphatics and lymph nodes, 3 μl of PBS containing TMR–dextran (10 kDa, 50 mg ml−1 or 70 kDa, 25 mg ml−1; Invitrogen, D1816) was infused at 1.0 μl min−1 for 3 min into the intracranial cavity through the cisterna magna of Prox1-GFP or C57BL/6J mice. To begin this procedure, an anaesthetized mouse was placed into the prone position on a stereotaxic frame under a surgical microscope. The head was adjusted to a 90° angle to the body axis with the help of a mouthpiece to facilitate access to the cisterna magna. After a skin incision in the midline of the posterior neck, the muscle layers were carefully separated with microscissors. The atlanto-occipital membrane overlying the cisterna magna was superficially penetrated using a 33-gauge NanoFil needle (World Precision Instruments) and then 3 μl of PBS containing TMR–dextran was infused into the subarachnoid space at 1 μl min−1 for 3 min using a micro-syringe (88000, Hamilton) and a micro-infusion machine (Fusion 100, Chemyx). The needle was left in the position for 10 min and slowly removed from the mouse to prevent a CSF leakage. The muscle layers and neck skin were then sutured with 6-0 black silk (Ailee, SK617). Alternatively, an i.h. infusion was made. To set up this procedure, a small hole was drilled at the medial–lateral axis 1 mm and anterior–posterior axis −1.5 mm relative to the bregma after exposure of the skull on a stereotaxic frame. A custom-made glass pipet (diameter, 20 μm) connected to a PE-20 catheter was inserted to a depth of 2 mm. PBS (300 nl) containing TMR–dextran was infused into the hippocampus at a rate of 100 nl min−1 for 3 min using a micro-syringe and a micro-infusion machine. After the infusion, the glass pipet was left in place for 5 min to prevent backflow and then slowly removed. The hole was sealed with a mixture of resin and superglue. After the infusion, the abdominal aorta was cut to remove the blood, and the sternocleidomastoid and omohyoid muscles were dissected and retracted under a surgical microscope (SZX16, Olympus) after a midline incision of the neck skin was made. In this step, exsanguination was required for precise imaging to prevent blood from the massive dissection of neck muscles from obscuring the image field. The dcLNs on the longus collis muscle and lateral cervical lymphatics on the scalene muscle were then carefully exposed. By dissection of the space between the pharyngeal muscle and the digastric muscle, the medial cervical lymphatics adjacent to the hypoglossal nerve was exposed. Further dissections in the cephalic direction were made to obtain vital imaging from the nasopharynx to medial cervical lymphatics and from jugular foramen to lateral cervical lymphatics. To ensure proper placement, a 24-gauge polyethylene catheter (Angiocath Plus, BD, 382412) was inserted into the jugular foramen. To directly access the nasopharynx, the lower mandible was removed and the soft palate was peeled off. TMR–dextran outflow through the NPLP was then captured from the ventral and dorsal sides of the nasopharynx. Intravital images of the indicated region were captured using a fluorescence stereo zoom microscope (AxioZoom V16, Carl Zeiss) with a Plan-Neofluar Z ×1.0 objective lens with a HE-GFP or Cy3 filter (Carl Zeiss). The entire procedure of this perimortem imaging was performed within 5 min after cutting the abdominal aorta.
Intracisternal delivery of FluoSphere microbeads, AAV-VEGF-C delivery, ligation of deep cervical lymphatics and pharmacological treatments
A total of 3 μl of FluoSphere microbead solution (diameter, 0.5 µm; polystyrene, carboxylate-modified surface, red fluorescent (580/605), 2% solids 98% dry weight, Thermo Fisher Scientific, F8887) or 3 μl of Texas-Red-conjugated ovalbumin (5 mg ml−1, O23021, Thermo Fisher Scientific) was infused at 1.0 μl min−1 for 3 min into the subarachnoid space of Prox1-GFP mice at the cisterna magna. Subsequently, the head was collected for the histological analysis as described in the ‘Tissue preparation for histological analysis’ section below. A total of 3 μl of AAV9-VEGF-C-mCherry (AAV9-275994-mCherry, Vector Biolabs) or AAV9-mCherry (7107, Vector Biolabs), with a concentration of 1 × 1013 gene copies per ml in PBS was infused into the subarachnoid space of Prox1-GFP mice at the cisterna magna at 1 μl min−1 over 3 min. At 3 weeks after infusion, TMR–dextran was similarly infused and its fluorescence was subsequently measured in the dcLNs. Thereafter, the nasopharynx, diaphragm and dura were removed for histological analysis. To determine which side of deep cervical lymphatics was more responsible for CSF outflow, either the medial or lateral cervical lymphatics was ligated with 10-0 polypropylene suture (W2794, Ethicon) after neck muscle dissection in 10-week-old Prox1-GFP mice. The same operation without the ligation was performed for the sham control group. Then, 24 h later, intravital imaging was performed after i.h. infusion of TMR–dextran. To examine the effects of pharmacological agents on CSF outflow through the deep cervical lymphatics or to the dcLNs, the medial cervical lymphatics were exposed and immersed with 100 μl of PBS after intracisternal infusion of TMR–dextran. After baseline imaging for 3 min, phenylephrine (10 nM, 1 μM, 50 μM, 500 μM or 5 mM), sodium nitroprusside (3 μM, 30 μM or 25 mM) or nothing in 100 μl of PBS was topically applied for 3 min, followed by washing with PBS. The diameter and TMR–dextran fluorescence of deep cervical lymphatics were then measured for 20–30 min. TMR–dextran fluorescence was also measured in the dcLNs at 30 min after the intracisternal infusion of TMR–dextran. All values were normalized to the mean baseline value.
Long-term blocking of interferon type I signalling
Aged Prox1-GFP mice (aged 70–88 weeks) received i.p. injection of 200 µg of anti-interferon type I signalling blocking antibody (anti-IFNAR-1 antibodies; anti-mouse interferon α/β receptor subunit 1 antibodies, BE0241, BioXcell) or 200 µg mouse IgG isotype control (BE0083, BioXcell) every 72 h for 6 weeks. The blocking effects of the antibody were validated by measuring mRNA expression of the interferon-stimulated genes Oas2 and Mx2 in the nasopharyngeal tissue of adult (aged 10–14 weeks) C57BL/6J mice. The mice were pretreated with 200 µg of anti-IFNAR-1 antibodies or IgG, 1 h before i.p. administration of 2′3′-cGAMP (300 µg, TLRL-NACGA23-5, InvivoGen) or PBS, and the tissues were collected 4 h later for analysis.
Tissue preparation for histological analysis
To acquire the sagittal sectioned image (for Fig. 1b), at 60 min after intracisternal infusion of TMR–dextran, the head and neck of a Prox1-GFP mouse were cut at the C2 vertebrae level and sampled immediately after cutting the abdominal aorta to remove blood. The sample was then cut along the sagittal plane in half with a blade and images were captured without fixation using a fluorescence stereo zoom microscope (AxioZoom V16, Carl Zeiss) with a Plan-Neofluar Z ×1.0 objective lens with a HE-GFP or Cy3 filter (Carl Zeiss). For immunofluorescence staining analyses, after right atrium puncture, ice-cold PBS was perfused into the left ventricle to remove blood. Then, 4% paraformaldehyde (PFA) solution was injected through the left ventricle to fix the tissues. For whole-mount preparations, the dcLNs and the attached afferent lymphatics were sampled with the surrounding muscles. The nasopharyngeal mucosa was isolated by removing the surrounding skull, nerves and soft tissues using a fine forceps and surgical microscissors under a surgical microscope. The collected tissues were post-fixed with 2% PFA solution for 2 h at 4 °C. For the cryo-section of the mouse head, the head was submerged into 2% PFA solution for 12 h at 4 °C for post-fixation. Subsequently, the samples were immersed in 0.5 M EDTA solution for 48 h at 4 °C for decalcification, dehydrated by submerging in 30% sucrose solution for 48 h at 4 °C, embedded and frozen in a frozen section medium (Leica), and cut into a 30 μm sections using a Cryocut Microtome (Leica). For tissue clearing, heads perfused with 4% PFA were immersed further in 4% PFA overnight at 4 °C for post-fixation, washed with PBS and incubated in CUBIC-L solution (TCI, T3740) with daily change for 7 days at 37 °C. After tissue clearing and PBS washing, the samples were subjected to decalcification, immunofluorescence staining and imaging. For preparation of the primates, the animals were perfused with ice-cold saline and then decapitated. The head samples were fixed with 4% PFA for 2 h, and 2% PFA for 12 h at 4 °C. Subsequently, the samples were decalcified with 0.5 M EDTA, pH 8.0 for 3 weeks at 4 °C. The samples were placed into a fresh EDTA solution every 4 days. The decalcified heads were trimmed along the following tissue boundaries: the anterior (choana), the posterior (occipital bone), the dorsal (optic nerve) and the ventral (uvula). Trimmed samples were cut in half along the sagittal plane and the brain was removed from the skull. For whole-mount preparations, the nasopharyngeal mucosa was carefully separated from the skull base and soft palate.
Immunostaining
The samples were incubated in 5% normal donkey serum (017-000-121, Jackson ImmunoResearch) for 1 h at room temperature. Next, the samples were incubated with primary antibodies (1:400) dissolved in 5% normal donkey serum at 4 °C for 12 h. After washing in PBS, the samples were incubated with secondary antibodies (1:1,000) dissolved in 5% normal donkey serum at 4 °C for 12 h. The samples that had been processed for clearing and decalcification were incubated with donkey serum for 24 h at room temperature; then with primary antibodies at 1:200 dilution at room temperature for 10 days; and finally with secondary antibodies at 1:100 dilution at room temperature for 3 days. After PBS washing, the samples were covered with DAPI-containing mounting medium (H1200, Vector) or refractive index matching solution (D-PROTOSS)61. The primary antibodies used were as follows: anti-LYVE1 (rabbit polyclonal, 11-034, Angiobio), anti-CD31 (hamster monoclonal, 2H8, MAB1398Z, Merck), anti-VE-cadherin (goat polyclonal, AF1002, R&D), anti-VEGFR3 (goat polyclonal, AF743, R&D), anti-αSMA-Cy3 (mouse monoclonal, 1A4, C6198, Sigma-Aldrich), anti-β3 tubulin (mouse monoclonal, 2G10, ab78078, Abcam), anti-FOXC2 (sheep polyclonal, AF6989, R&D), anti-LYVE1 (rabbit polyclonal, DP3500, OriGene), anti-collagen type IV (goat polyclonal, AB769, Merck), anti-laminin α5 (rabbit polyclonal, EWL004, Kerafast), anti-tyrosine hydroxylase (rabbit polyclonal, AB152, Merck), anti-vesicular acetylcholine transporter (goat polyclonal, ABN100, Merck), anti-phospho-tau (mouse monoclonal, AT8, MN1020, Thermo Fisher Scientific), anti-mannose receptor (CD206, rabbit polyclonal antibody, ab64693, Abcam), anti-PTX3 (rabbit polyclonal antibody, ALX-210-365-C050, Enzo Life Sciences). The following secondary antibodies were used: Alexa Fluor 488-, 594- and 647- conjugated anti-rabbit (711-545-152, 711-585-152, 711-605-152), anti-goat (705-585-147), anti-sheep (713-585-147) and anti-hamster (127-605-160) secondary antibodies (Jackson ImmunoResearch) in blocking buffer overnight at 4 °C. All of the antibodies used in this study were validated for the species and applications by the indicated manufacturers.
TUNEL assay
To detect apoptotic cells in the nasopharynx, the terminal deoxynucleotidyl transferase biotin-dUTP nick end labelling (TUNEL) assay was performed according to the manufacturer’s instructions (12156792910, Merck).
Imaging and morphometric analyses
Immunofluorescence images were acquired using the LSM800 or LSM880 confocal microscope (Carl Zeiss). ZEN (v.2.3) software (Carl Zeiss) was used for the acquisition and processing of images. Confocal images of whole mounts or sections of tissues were maximum-intensity projections of tiled or single-plane z-stack images through the entire thickness of tissues. All of the images had a resolution of 512 × 512 or 1,024 × 1,024 pixels and were obtained with the following objectives: air objectives Plan-Apochromat ×10/0.45 numerical aperture (NA) M27 and Plan-Apochromat ×20/0.8 NA M27; LD C-Apochromat ×40/1.1 NA water-immersion Corr M27 (LSM 880) with multichannel scanning in the frame. The samples that underwent tissue clearing and decalcification were imaged using a light-sheet fluorescence microscope (LSFM, Carl Zeiss) with an EC Plan-Neofluar ×5/0.16 lens. Morphometric measurements were performed using ImageJ software (NIH) or Zen software (Carl Zeiss) on maximum-intensity-projection confocal images. The PROX1+ lymphatic area and the number of lymphatic valves and detached LECs were measured on the dorsal side of the nasopharynx at the following boundaries: anterior (most posterior part of posterior nasal lymphatic plexus), posterior (Eustachian tube), and lateral (a perpendicular line from Eustachian tube to nasopharyngeal lymphatics). The number of lymphatic valves and detached LECs were manually counted. Signal intensities of VEGFR3 and LYVE1 were measured in the dorsal side of the nasopharynx in the region (1.5 mm×3 mm) defined by the aforementioned boundaries. The PROX1+ lymphatic area in the diaphragm was analysed in four 500 μm × 500 μm random fields per sample. The PROX1+ lymphatic area around the superior sagittal sinus was analysed in four 400 μm × 800 μm fields located near the confluence of sinus per sample. VE-cadherin+ junctional patterns of endothelial cells of the nasopharyngeal lymphatics were analysed in 200 µm × 200 µm as previously described15. Button-like junctions were defined as discontinuous, dot-like intercellular junctions, whereas zipper-like junctions were defined as continuous intercellular junctions. Junctions that did not match either pattern were categorized as mixed type. The number of lymphatic valves and the length of lymphangions in the deep cervical lymphatics were manually measured. αSMA+ smooth muscle coverage per lymphangion was measured in three lymphangions of each deep cervical lymphatics using a Weka trainable segmentation of ImageJ plugin62. Phosphorylated tau was measured in 1 mm ×1 mm regions of the dorsal side of nasopharyngeal lymphatics. TUNEL-positive cells were counted and expressed as the percentage of total LECs in two randomly selected 150 µm × 150 µm fields on the dorsal side of nasopharyngeal lymphatics.
Ex vivo studies of pressurized deep cervical lymphatics
Mice were anaesthetized by i.p. injection of ketamine–xylazine and placed face up onto a heated tissue dissection/isolation pad. A proximal-to-distal incision was made in the skin from the neck to the sternum. While trimming loose facia, the submandibular gland and thymus on one side of the mouse were retracted with small clamps to expose the trachea and muscles overlying dcLNs. A 0.5–1.5 mm long segment of medial cervical lymphatic vessel was removed using fine forceps and microscissors and transferred to a dish containing Krebs solution + 0.5% BSA. The procedure was repeated on the other side of the animal. Both deep cervical lymphatics were then pinned with short segments of 40 µm stainless steel wire onto a Sylgard-coated dissection chamber filled with Krebs-BSA buffer at room temperature. The surrounding adipose and connective tissues were removed by microdissection. An isolated dcLV was then transferred to a 3 ml observation chamber on the stage of a Zeiss inverted microscope, cannulated, pressurized to 1 cmH2O using two glass micropipettes (50–60 µm outer diameter). With the vessel pressurized, the segment was cleared of the remaining connective and adipose tissue. Polyethylene tubing was attached to the back of each glass micropipette and connected to a computerized pressure controller, with independent control of inflow and outflow pressures. To minimize diameter-tracking artifacts associated with longitudinal bowing at higher intraluminal pressures, input and output pressures were briefly raised to 10 cmH2O at the beginning of each experiment, and the vessel segment was stretched axially to remove any longitudinal slack. After this procedure, each dcLV was allowed to equilibrate at 37 °C with pressure set to 1 cmH2O. Constant exchange of Krebs buffer was maintained using a peristaltic pump at a rate of 0.5 ml min−1. Within 30 min after the temperature stabilized, some vessels began to exhibit spontaneous contractions. Custom LabVIEW programs (National Instruments) acquired real-time analogue data and digital video through an A-D interface (National Instruments) and detected the inner diameter of the vessel63. Videos of the contractile activity of lymphatics were recorded for further analyses under bright-field illumination at 30 fps using a firewire camera (Basler, Graftek Imaging).
Assessment of responses to pressure, phenylephrine and NONOate
To assess physiological responses to pressure, intraluminal pressure of deep cervical lymphatic segments was lowered from 1 to 0.5 cmH2O, then raised to 1, 2, 3, 5, 8 and 10 cmH2O, while recording internal diameter for 1–2 min at each pressure. Both the input and output pressures were maintained at equal levels so that there was no imposed pressure gradient for forward flow. After pressure was returned to 1 cmH2O for 5 min, phenylephrine was applied to the bath in cumulative concentrations, while recording diameter for 1–2 min at each concentration. Once a maximum level of tone had been reached (typically 40–50% of the passive diameter), diethylamine NONOate sodium salt hydrate (sodium NONOate, Merck) was applied in cumulative concentrations, while measuring diameter at each concentration. At the end of each experiment, the vessel was equilibrated by perfusion with calcium-free Krebs buffer containing 3 mM EGTA for 30 min, and passive diameters were obtained at each level of intraluminal pressure.
Plate-based single-cell sequencing of nasopharyngeal LECs
Nasopharyngeal tissue was used to isolate LECs from both sexes of adult (n = 30) and aged (n = 25) mice. After anaesthesia, the mice were perfused with ice-cold PBS, and the nasopharyngeal mucosa was removed and pooled in DMEM/F12 medium (Gibco). The tissue was cut into small pieces and incubated in dissociation buffer containing 1 mg ml−1 of collagenase IV (Roche), 1 mg ml−1 of dispase (Gibco) and 0.1 mg ml−1 DNase I (Gibco) at 37 °C for 30 min with gentle inverting every 10 min. Digested samples were filtered through a 70 µm strainer and 2% FBS was added to stop digestion. The cells were centrifuged for 8 min at 500g and resuspended with PBS for washing. To exclude dead cells, 1:1,000 of Ghost dye (TONBO bioscience) was added to the resuspended cells for 15 min at 4 °C. PBS was then added for washing followed by staining with phycoerythrin/Cy7 anti-mouse CD326 (Ep-CAM, G8.8, 118216, BioLegend) antibodies, APC anti-mouse podoplanin antibodies (8.1.1, 127410, BioLegend) and phycoerythrin-labelled anti-mouse CD31 antibodies (MEC13.3, 102508, BioLegend). CD31+PDPN+ cells were considered to be LECs and were sorted using the FACS Aria Fusion (Beckton Dickinson) system. Sorted LECs were directly placed into each well in a 96-well plate containing a lysis buffer. The plates were snap-frozen with liquid nitrogen and stored at −80 °C. Following the Smart-Seq3 protocol64, plate-based single-cell libraries were generated. In brief, mRNAs from lysed cells were reverse transcribed. cDNAs were amplified and purified using Ampure XP beads (Beckman Coulter). Purified cDNAs were diluted (100 pg µl−1) and tagmented using the Tn5 transposase included in the Nextra XT DNA library preparation kit (FC-131-1024, Illumina). Using custom index primers, tagmented products were amplified and then pooled into a single tube. After final cleanup using Ampure XP beads, the libraries were analysed using the TapeStation for quality control. Libraries passing the quality control checks were sequenced on the Illumina High-X platform.
Pre-processing of single-cell sequencing data
Sequenced libraries were demultiplexed and aligned to mouse reference genome (mm10) by STAR (v.2.7.9.a). The featureCount (v.2.0.1) function from Subread package was used to merge the aligned files and to build raw read count matrices. For cell quality control, cells detected with less than 2,000 genes and cells with more than 10% of total reads mapped to mitochondrial genes were considered to be low-quality/dead cells and were discarded. At the gene level, genes expressed in less than three cells were removed from the expression matrix.
Clustering analysis
For clustering and visualization of single cells, the R package Seurat was used (v.4.1.0). In brief, log2 normalization was applied after dividing each count for a gene in a cell by the total number of counts in a given cell, with multiplication of 1 × 104 and addition of 1 pseudocount. Consequently, the resulting expression matrixes were transformed to have values similar to log-transformed counts per million. Then, the top 2,000 genes with the highest variability in each dataset were selected using the FindVariableFeatures function with the following options: selection.method = “vst”. Those highly variable genes were scaled and centred while regressing out confounding variables such as number of total counts and the percentage of reads mapped to mitochondrial genes. Moreover, module scores for dissociation-induced genes and ribosomal genes were calculated using the AddModuleScore function and regressed.
For visualization in two-dimensional space, principal component analysis was performed, and the top 15 principal components were used as the input for UMAP analysis. For neighbourhood identification and cluster assignment, the shared nearest neighbourhood graph was built by using the top 15 principal components and the Louvain algorithm was applied. For identifying differentially expressed genes between cells, we used the FindMarkers function in Seurat with the following options: test.use = “MAST”, logfc.threshold=0.3, min.pct=0.3. While performing differential expression testing, we excluded dissociation-induced genes, mitochondrial and ribosomal genes. In merging adult and aged mouse datasets, no batch correction method was used, as no evident batch effect was observed for clustering.
Statistical analysis
Sample sizes were chosen on the basis of standard power calculations (with α = 0.05 and power of 0.8) and no statistical methods were used to predetermine sample size. The experiments were randomized, and investigators were blinded to allocation during experiments and outcome assessment. Data were tested for normality using Shapiro–Wilk and Kolmogorov–Smirnov one-sample tests. Depending on the data distribution, parametric or nonparametric statistics were used. The statistical significance of differences was determined using two-tailed Student’s t-test, two-tailed Welch’s t-tests, Brown–Forsythe ANOVA, two-way ANOVA test or two-tailed Mann–Whitney U-tests. Two-way repeated-measures ANOVA was used when comparing the time-series data between the two groups. Statistical analysis was performed using Prism 10 (GraphPad Software, v.10.1.0). All data are presented as mean ± s.e.m. Statistical significance was set at P < 0.05.
Reporting summary
Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.
Online content
Any methods, additional references, Nature Portfolio reporting summaries, source data, extended data, supplementary information, acknowledgements, peer review information; details of author contributions and competing interests; and statements of data and code availability are available at 10.1038/s41586-023-06899-4.
Supplementary information
Acknowledgements
We thank Y.-K. Hong for the Prox1-GFP mice. H.J. was supported by the MD-PhD/Medical Scientist Training Program from the Ministry of Science & ICT of Korea. This study was supported by the Institute for Basic Science and funded by the Ministry of Science and ICT, Republic of Korea (IBS-R025-D1-2015 to G.Y.K.) and R01 HL-122578 from the National Institutes of Health to M.J.D.
Extended data figures and tables
Author contributions
J.-H.Y., H.J., H.J.K., D.M.M., M.J.D. and G.Y.K. conceived and designed the study. J.-H.Y., H.J., M.J.D. and H.J.K. performed most of the experiments and generated the figures. J.-H.Y., H.J., H.J.K., D.M.M., M.J.D. and G.Y.K. wrote the manuscript with contributions from S.P.H., M.J.Y., J.H.A. and Y.-C.K. under the supervision of D.M.M., M.J.D. and G.Y.K.; J.-H.Y., H.J., H.J.K., S.P.H., M.J.Y., D.M.M., M.J.D. and G.Y.K. analysed and interpreted the data and generated figures. M.J.Y. performed scRNA-seq with contributions from J.-H.Y. and H.J.; M.J.Y., J.-H.Y. and H.J. analysed scRNA-seq datasets. H.J.K. and M.J.D. performed ex vivo isolated afferent lymphatic vessel experiments and data analysis. J.-H.Y., H.J., H.J.K., S.P.H., M.J.Y., Y.-C.K. and J.H.A. actively discussed the experiments and the results under the supervision of D.M.M., M.J.D. and G.Y.K.; J.S. and Y.L. provided the primate tissue samples. M.J.D. and G.Y.K. supervised and directed the project.
Peer review
Peer review information
Nature thanks Britta Engelhardt, Steven Proulx, Jean-Léon Thomas and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Peer reviewer reports are available.
Data availability
The scRNA-seq data of this study are available at the NCBI Gene Expression Omnibus under accession codes GSE227311 (adult mice) and GSE227324 (aged mice). All other data supporting the findings in this study are available within the Article and its Supplementary Information. Source data are provided in the Supplementary Information.
Code availability
The codes used for scRNA-seq are available at Zenodo (https://zenodo.org/records/10115336). The LabVIEW program used for pressure and diameter data collection of isolated lymphatic vessels is available at Zenodo (10.5281/zenodo.8286107). The LabVIEW program used for diameter tracking of isolated lymphatic vessels is available at Zenodo (10.5281/zenodo.8286119).
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
These authors contributed equally: Jin-Hui Yoon, Hokyung Jin, Hae Jin Kim
These authors jointly supervised this work: Michael J. Davis, Gou Young Koh
Contributor Information
Michael J. Davis, Email: davismj@health.missouri.edu
Gou Young Koh, Email: gykoh@kaist.ac.kr.
Extended data
is available for this paper at 10.1038/s41586-023-06899-4.
Supplementary information
The online version contains supplementary material available at 10.1038/s41586-023-06899-4.
References
- 1.Key, A. & Retzius, G. Studien in der Anatomie des Nervensystems und des Bindegewebes: 1. Hälfte Vol. 1 (Samson & Wallin, 1875).
- 2.Bradbury M, Cserr H. Drainage of cerebral interstitial fluid and of cerebrospinal fluid into lymphatics. Exp. Biol. Lymph. Circ. 1985;9:355–394. [Google Scholar]
- 3.Cserr HF, Harling-Berg CJ, Knopf PM. Drainage of brain extracellular fluid into blood and deep cervical lymph and its immunological significance. Brain Pathol. 1992;2:269–276. doi: 10.1111/j.1750-3639.1992.tb00703.x. [DOI] [PubMed] [Google Scholar]
- 4.Kida S, Pantazis A, Weller RO. CSF drains directly from the subarachnoid space into nasal lymphatics in the rat. Anatomy, histology and immunological significance. Neuropathol. Appl. Neurobiol. 1993;19:480–488. doi: 10.1111/j.1365-2990.1993.tb00476.x. [DOI] [PubMed] [Google Scholar]
- 5.Zakharov A, Papaiconomou C, Djenic J, Midha R, Johnston M. Lymphatic cerebrospinal fluid absorption pathways in neonatal sheep revealed by subarachnoid injection of Microfil. Neuropathol. Appl. Neurobiol. 2003;29:563–573. doi: 10.1046/j.0305-1846.2003.00508.x. [DOI] [PubMed] [Google Scholar]
- 6.Johnston M, Zakharov A, Koh L, Armstrong D. Subarachnoid injection of Microfil reveals connections between cerebrospinal fluid and nasal lymphatics in the non-human primate. Neuropathol. Appl. Neurobiol. 2005;31:632–640. doi: 10.1111/j.1365-2990.2005.00679.x. [DOI] [PubMed] [Google Scholar]
- 7.Koh L, et al. Development of cerebrospinal fluid absorption sites in the pig and rat: connections between the subarachnoid space and lymphatic vessels in the olfactory turbinates. Anat. Embryol. 2006;211:335–344. doi: 10.1007/s00429-006-0085-1. [DOI] [PubMed] [Google Scholar]
- 8.Nagra G, Koh L, Zakharov A, Armstrong D, Johnston M. Quantification of cerebrospinal fluid transport across the cribriform plate into lymphatics in rats. Am. J. Physiol. Regul. Integr. Comp. Physiol. 2006;291:R1383–R1389. doi: 10.1152/ajpregu.00235.2006. [DOI] [PubMed] [Google Scholar]
- 9.Aspelund A, et al. A dural lymphatic vascular system that drains brain interstitial fluid and macromolecules. J. Exp. Med. 2015;212:991–999. doi: 10.1084/jem.20142290. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Louveau A, et al. Structural and functional features of central nervous system lymphatic vessels. Nature. 2015;523:337–341. doi: 10.1038/nature14432. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Absinta M, et al. Human and nonhuman primate meninges harbor lymphatic vessels that can be visualized noninvasively by MRI. eLife. 2017;6:e29738. doi: 10.7554/eLife.29738. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Ma Q, Ineichen BV, Detmar M, Proulx ST. Outflow of cerebrospinal fluid is predominantly through lymphatic vessels and is reduced in aged mice. Nat. Commun. 2017;8:1434. doi: 10.1038/s41467-017-01484-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Antila S, et al. Development and plasticity of meningeal lymphatic vessels. J. Exp. Med. 2017;214:3645–3667. doi: 10.1084/jem.20170391. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Jacob L, et al. Anatomy and function of the vertebral column lymphatic network in mice. Nat. Commun. 2019;10:4594. doi: 10.1038/s41467-019-12568-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Ahn JH, et al. Meningeal lymphatic vessels at the skull base drain cerebrospinal fluid. Nature. 2019;572:62–66. doi: 10.1038/s41586-019-1419-5. [DOI] [PubMed] [Google Scholar]
- 16.Jacob, L. et al. Conserved meningeal lymphatic drainage circuits in mice and humans. J. Exp. Med.10.1084/jem.20220035 (2022). [DOI] [PMC free article] [PubMed]
- 17.Proulx ST. Cerebrospinal fluid outflow: a review of the historical and contemporary evidence for arachnoid villi, perineural routes, and dural lymphatics. Cell. Mol. Life Sci. 2021;78:2429–2457. doi: 10.1007/s00018-020-03706-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Choi I, et al. Visualization of lymphatic vessels by Prox1-promoter directed GFP reporter in a bacterial artificial chromosome-based transgenic mouse. Blood. 2011;117:362–365. doi: 10.1182/blood-2010-07-298562. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Wichmann TO, Damkier HH, Pedersen M. A brief overview of the cerebrospinal fluid system and its implications for brain and spinal cord diseases. Front. Hum. Neurosci. 2021;15:737217. doi: 10.3389/fnhum.2021.737217. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Tarasoff-Conway JM, et al. Clearance systems in the brain-implications for Alzheimer disease. Nat. Rev. Neurol. 2015;11:457–470. doi: 10.1038/nrneurol.2015.119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Da Mesquita S, et al. Functional aspects of meningeal lymphatics in ageing and Alzheimer’s disease. Nature. 2018;560:185–191. doi: 10.1038/s41586-018-0368-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Louveau A, et al. CNS lymphatic drainage and neuroinflammation are regulated by meningeal lymphatic vasculature. Nat. Neurosci. 2018;21:1380–1391. doi: 10.1038/s41593-018-0227-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Patel TK, et al. Dural lymphatics regulate clearance of extracellular tau from the CNS. Mol. Neurodegener. 2019;14:11. doi: 10.1186/s13024-019-0312-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Koh L, Zakharov A, Johnston M. Integration of the subarachnoid space and lymphatics: is it time to embrace a new concept of cerebrospinal fluid absorption? Cerebrospinal Fluid Res. 2005;2:6. doi: 10.1186/1743-8454-2-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.das Neves SP, Delivanoglou N, Da Mesquita S. CNS-draining meningeal lymphatic vasculature: roles, conundrums and future challenges. Front. Pharmacol. 2021;12:655052. doi: 10.3389/fphar.2021.655052. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Decker, Y. et al. Magnetic resonance imaging of cerebrospinal fluid outflow after low-rate lateral ventricle infusion in mice. JCI Insight10.1172/jci.insight.150881 (2022). [DOI] [PMC free article] [PubMed]
- 27.Spera I, et al. Open pathways for cerebrospinal fluid outflow at the cribriform plate along the olfactory nerves. EBioMedicine. 2023;91:104558. doi: 10.1016/j.ebiom.2023.104558. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Baluk P, et al. Functionally specialized junctions between endothelial cells of lymphatic vessels. J. Exp. Med. 2007;204:2349–2362. doi: 10.1084/jem.20062596. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Baluk, P. & McDonald, D. M. Buttons and zippers: endothelial junctions in lymphatic vessels. Cold Spring Harb. Perspect. Med.10.1101/cshperspect.a041178 (2022). [DOI] [PMC free article] [PubMed]
- 30.Petrova, T. V. & Koh, G. Y. Biological functions of lymphatic vessels. Science10.1126/science.aax4063 (2020). [DOI] [PubMed]
- 31.Scallan JP, Zawieja SD, Castorena-Gonzalez JA, Davis MJ. Lymphatic pumping: mechanics, mechanisms and malfunction. J. Physiol. 2016;594:5749–5768. doi: 10.1113/JP272088. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Razavi MS, Dixon JB, Gleason RL. Characterization of rat tail lymphatic contractility and biomechanics: incorporating nitric oxide-mediated vasoregulation. J. R. Soc. Interface. 2020;17:20200598. doi: 10.1098/rsif.2020.0598. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Ungvari Z, Tarantini S, Donato AJ, Galvan V, Csiszar A. Mechanisms of vascular aging. Circ. Res. 2018;123:849–867. doi: 10.1161/CIRCRESAHA.118.311378. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Nagai T, Bridenbaugh EA, Gashev AA. Aging-associated alterations in contractility of rat mesenteric lymphatic vessels. Microcirculation. 2011;18:463–473. doi: 10.1111/j.1549-8719.2011.00107.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Zolla V, et al. Aging-related anatomical and biochemical changes in lymphatic collectors impair lymph transport, fluid homeostasis, and pathogen clearance. Aging Cell. 2015;14:582–594. doi: 10.1111/acel.12330. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Zawieja SD, Castorena-Gonzalez JA, Scallan JP, Davis MJ. Differences in L-type Ca2+ channel activity partially underlie the regional dichotomy in pumping behavior by murine peripheral and visceral lymphatic vessels. Am. J. Physiol. Heart Circ. Physiol. 2018;314:H991–H1010. doi: 10.1152/ajpheart.00499.2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Davis MJ, et al. Kir6.1-dependent KATP channels in lymphatic smooth muscle and vessel dysfunction in mice with Kir6.1 gain-of-function. J. Physiol. 2020;598:3107–3127. doi: 10.1113/JP279612. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Kim HJ, Li M, Nichols CG, Davis MJ. Large-conductance calcium-activated K(+) channels, rather than K(ATP) channels, mediate the inhibitory effects of nitric oxide on mouse lymphatic pumping. Br. J. Pharmacol. 2021;178:4119–4136. doi: 10.1111/bph.15602. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Petkova, M. et al. Immune-interacting lymphatic endothelial subtype at capillary terminals drives lymphatic malformation. J. Exp. Med.10.1084/jem.20220741 (2023). [DOI] [PMC free article] [PubMed]
- 40.Abe Y, et al. A single-cell atlas of non-haematopoietic cells in human lymph nodes and lymphoma reveals a landscape of stromal remodelling. Nat. Cell Biol. 2022;24:565–578. doi: 10.1038/s41556-022-00866-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Xiang, M. et al. A single-cell transcriptional roadmap of the mouse and human lymph node lymphatic vasculature. Front. Cardiovasc. Med.10.3389/fcvm.2020.00052 (2020). [DOI] [PMC free article] [PubMed]
- 42.Watson EC, Whitehead L, Adams RH, Dewson G, Coultas L. Endothelial cell survival during angiogenesis requires the pro-survival protein MCL1. Cell Death Differ. 2016;23:1371–1379. doi: 10.1038/cdd.2016.20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Baruch K, et al. Aging-induced type I interferon response at the choroid plexus negatively affects brain function. Science. 2014;346:89–93. doi: 10.1126/science.1252945. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Liew FY, Girard JP, Turnquist HR. Interleukin-33 in health and disease. Nat. Rev. Immunol. 2016;16:676–689. doi: 10.1038/nri.2016.95. [DOI] [PubMed] [Google Scholar]
- 45.Yao LC, McDonald DM. Plasticity of airway lymphatics in development and disease. Adv. Anat. Embryol. Cell Biol. 2014;214:41–54. doi: 10.1007/978-3-7091-1646-3_4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Hong, S. P. et al. Three-dimensional morphologic and molecular atlases of nasal vasculature. Nat. Cardiovasc. Res.10.1038/s44161-023-00257-3 (2023). [DOI] [PMC free article] [PubMed]
- 47.McComb JG. Recent research into the nature of cerebrospinal fluid formation and absorption. J. Neurosurg. 1983;59:369–383. doi: 10.3171/jns.1983.59.3.0369. [DOI] [PubMed] [Google Scholar]
- 48.Engelhardt B, et al. Vascular, glial, and lymphatic immune gateways of the central nervous system. Acta Neuropathol. 2016;132:317–338. doi: 10.1007/s00401-016-1606-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Ma Q, Decker Y, Müller A, Ineichen BV, Proulx ST. Clearance of cerebrospinal fluid from the sacral spine through lymphatic vessels. J. Exp. Med. 2019;216:2492–2502. doi: 10.1084/jem.20190351. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Gashev AA, Davis MJ, Delp MD, Zawieja DC. Regional variations of contractile activity in isolated rat lymphatics. Microcirculation. 2004;11:477–492. doi: 10.1080/10739680490476033. [DOI] [PubMed] [Google Scholar]
- 51.Wang Y, et al. Cerebrovascular activity is a major factor in the cerebrospinal fluid flow dynamics. Neuroimage. 2022;258:119362. doi: 10.1016/j.neuroimage.2022.119362. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Chiu C, et al. Temporal course of cerebrospinal fluid dynamics and amyloid accumulation in the aging rat brain from three to thirty months. Fluids Barriers CNS. 2012;9:3. doi: 10.1186/2045-8118-9-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Liu G, et al. Direct measurement of cerebrospinal fluid production in mice. Cell Rep. 2020;33:108524. doi: 10.1016/j.celrep.2020.108524. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Mestre H, et al. Periarteriolar spaces modulate cerebrospinal fluid transport into brain and demonstrate altered morphology in aging and Alzheimer’s disease. Nat. Commun. 2022;13:3897. doi: 10.1038/s41467-022-31257-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.González-Loyola A, et al. FOXC2 controls adult lymphatic endothelial specialization, function, and gut lymphatic barrier preventing multiorgan failure. Sci. Adv. 2021;7:eabf4335. doi: 10.1126/sciadv.abf4335. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Yanev P, et al. Impaired meningeal lymphatic vessel development worsens stroke outcome. J. Cereb. Blood Flow Metab. 2020;40:263–275. doi: 10.1177/0271678X18822921. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Bolte AC, et al. Meningeal lymphatic dysfunction exacerbates traumatic brain injury pathogenesis. Nat. Commun. 2020;11:4524. doi: 10.1038/s41467-020-18113-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Li Z, et al. Blockade of VEGFR3 signaling leads to functional impairment of dural lymphatic vessels without affecting autoimmune neuroinflammation. Sci. Immunol. 2023;8:eabq0375. doi: 10.1126/sciimmunol.abq0375. [DOI] [PubMed] [Google Scholar]
- 59.Merlini A, et al. Distinct roles of the meningeal layers in CNS autoimmunity. Nat. Neurosci. 2022;25:887–899. doi: 10.1038/s41593-022-01108-3. [DOI] [PubMed] [Google Scholar]
- 60.Song E, et al. VEGF-C-driven lymphatic drainage enables immunosurveillance of brain tumours. Nature. 2020;577:689–694. doi: 10.1038/s41586-019-1912-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Ku T, et al. Elasticizing tissues for reversible shape transformation and accelerated molecular labeling. Nat. Methods. 2020;17:609–613. doi: 10.1038/s41592-020-0823-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Arganda-Carreras I, et al. Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification. Bioinformatics. 2017;33:2424–2426. doi: 10.1093/bioinformatics/btx180. [DOI] [PubMed] [Google Scholar]
- 63.Scallan JP, Wolpers JH, Davis MJ. Constriction of isolated collecting lymphatic vessels in response to acute increases in downstream pressure. J. Physiol. 2013;591:443–459. doi: 10.1113/jphysiol.2012.237909. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Hagemann-Jensen M, et al. Single-cell RNA counting at allele and isoform resolution using Smart-seq3. Nat. Biotechnol. 2020;38:708–714. doi: 10.1038/s41587-020-0497-0. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The scRNA-seq data of this study are available at the NCBI Gene Expression Omnibus under accession codes GSE227311 (adult mice) and GSE227324 (aged mice). All other data supporting the findings in this study are available within the Article and its Supplementary Information. Source data are provided in the Supplementary Information.
The codes used for scRNA-seq are available at Zenodo (https://zenodo.org/records/10115336). The LabVIEW program used for pressure and diameter data collection of isolated lymphatic vessels is available at Zenodo (10.5281/zenodo.8286107). The LabVIEW program used for diameter tracking of isolated lymphatic vessels is available at Zenodo (10.5281/zenodo.8286119).