Abstract
BACKGROUND
Methodology for estimation of cerebrospinal fluid (CSF) tracer clearance could have wide clinical application in predicting excretion of intrathecal drugs and metabolic solutes from brain metabolism and for diagnostic workup of CSF disturbances.
METHODS
The MRI contrast agent gadobutrol (Gadovist) was used as a CSF tracer and injected into the lumbar CSF. Gadobutrol is contained outside blood vessels of the CNS and is eliminated along extravascular pathways, analogous to many CNS metabolites and intrathecal drugs. Tracer enrichment was verified and assessed in CSF by MRI at the level of the cisterna magna in parallel with obtaining blood samples through 48 hours.
RESULTS
In a reference patient cohort (n = 29), both enrichment within CSF and blood coincided in time. Blood concentration profiles of gadobutrol through 48 hours varied between patients diagnosed with CSF leakage (n = 4), idiopathic normal pressure hydrocephalus dementia (n = 7), pineal cysts (n = 8), and idiopathic intracranial hypertension (n = 4).
CONCLUSION
Assessment of CSF tracer clearance is clinically feasible and may provide a way to predict extravascular clearance of intrathecal drugs and endogenous metabolites from the CNS. The peak concentration in blood (at about 10 hours) was preceded by far peak tracer enhancement at MRI in extracranial lymphatic structures (at about 24 hours), as shown in previous studies, indicating a major role of the spinal canal in CSF clearance capacity.
FUNDING
The work was supported by the Department of Neurosurgery, Oslo University Hospital; the Norwegian Institute for Air Research; and the University of Oslo.
Keywords: Neuroscience
Keywords: Alzheimer disease, Diagnostics, Neurodegeneration
Introduction
Methodology for estimation of cerebrospinal fluid (CSF) molecular clearance would be beneficial in several ways. Intrathecal administration of drugs is presently emerging as a promising route for treatment of a range of CNS diseases, including neuroinflammatory, neurodegenerative, neurooncologic, and neurovascular diseases (1–5). Although effective drug delivery to the CNS is restricted by the blood-brain barrier (BBB) during systemic administration (6), the human extravascular compartment of all brain regions is continuous with CSF and may be reached with intrathecal administration, bypassing the BBB. Remarkably, no test to predict clearance of substances from CSF has been established in the clinic.
The ability to predict clearance of endogenous molecules through CSF would also be crucial in assessment of neurodegenerative disease and dementia, and particularly in the preclinical phase of disease. Recent studies on animals and humans point at an instrumental role in extravascular clearance of metabolic waste products from CNS and its dependency on age and sleep (7, 8) for disease development. Examples of such metabolic by-products are amyloid-β (Aβ) and tau, which are found deposited in brain of subjects with neurodegenerative diseases, the most prevalent being Alzheimer’s disease. Both tau and some neurotoxic Aβ isoforms, e.g., pyroglutamate Aβ, pE3-Aβ, lack BBB transporters, and are cleared outside the BBB via the CSF and further to lymphatic routes (9). Attempts to assess impaired clearance capacity of Aβ and tau from brain, which would be particularly useful in the presymptomatic phase of the disease, have been limited mainly to measurements of levels in blood (10).
Here, we studied the clinical feasibility and utility of estimating CSF tracer clearance from the craniospinal compartment using the gadolinium-based (Gd-based) MRI contrast agent gadobutrol as CSF tracer. Gadobutrol is a hydrophilic, stable compound hypothesized to be excreted from CSF along clearance pathways similar to those of other drugs and endogenous metabolites not being cleared at the BBB. After intrathecal administration of the tracer, we consecutively measured blood concentration of Gd over time in parallel with standardized T1 MRI sequences for assessment of tracer enhancement in CSF. The CSF tracer clearance to blood was assessed in a reference patient cohort (REF) with no identified CSF disturbance, and in individuals with CSF disturbances, including a cohort with the dementia subtype idiopathic normal pressure hydrocephalus (iNPH).
Results
Patients.
This study included 52 individuals (Table 1). In 29 patients, denoted as REF subjects, no apparent CSF disturbance was identified and no intervention was indicated (Table 1). However, they are not healthy individuals. We also included subjects with various CSF disturbances, i.e., spontaneous intracranial hypotension (SIH), iNPH, pineal cysts (PCs), and idiopathic intracranial hypertension (IIH; Table 1).
Table 1. Patient data.
Tracer enrichment in CSF and elimination to blood in references.
Following lumbar injection of CSF tracer (0.5 mmol gadobutrol), the tracer enriched CSF within the cisterna magna (Supplemental Figure 1; supplemental material available online with this article; https://doi.org/10.1172/jci.insight.147063DS1). For the REF group, tracer enrichment in CSF as shown by MRI (Figure 1A) and levels of gadobutrol in blood (Figure 1B) trended similarly over time.
Association between MRI-based assessment of CSF tracer enrichment and blood concentrations of CSF tracer.
There was a significant positive linear correlation between tracer enrichment in CSF and tracer concentrations in blood in REF subjects after 24 hours (Figure 2A) and after 48 hours (Figure 2B). The same results were obtained when pooling all 52 participants in the correlation analysis. Thus, at late time points, increased tracer levels in cisterna magna were associated with higher blood concentrations.
Association between age and MRI-based CSF tracer enrichment and blood concentrations of CSF tracer.
Among REF subjects, there was a significant positive correlation between age and MRI CSF tracer enrichment at 48 hours, and between age and blood concentrations at 24 and 48 hours (Table 2). We found comparable results when including the entire cohort of 52 individuals in the analysis. Accordingly, the association between tracer enrichment in CSF and concentration in blood was strongest at late time points and increasingly with age.
Table 2. Correlation between age and CSF tracer enrichment and blood concentrations.
In REF subjects, age was negatively correlated with glomerular filtration rate (GFR) (Pearson’s correlation coefficient –0.71, P < 0.001), but GFR was neither correlated with tracer enrichment in cisterna magna nor correlated with tracer concentrations in blood. The GFR is the most important measure for clearance function of the kidneys (11) and is used on a routine clinical basis.
Comparisons of tracer enrichment in CSF and blood concentrations between references and patients with CSF disturbances.
Figure 3 shows trend plots of tracer enrichment in CSF of cisterna magna and blood concentrations for different patient groups. In SIH patients with CSF leakage, tracer enrichment in CSF of cisterna magna was similar to that in REF subjects (Figure 3A), whereas tracer blood concentrations were significantly higher after 1, 2–2.5, 4–5, and 5–6.5 hours (Figure 3B). This indicates that CSF leakage is accompanied by high blood levels of tracer at early time points, presumably owing to pathological leakage from CSF spaces to peripheral tissue.
In this cohort of 7 patients with iNPH, CSF tracer levels in cisterna magna were significantly higher in iNPH patients up to 5–6.5 hours after intrathecal administration (Figure 3C), whereas the blood concentration of tracer was significantly higher after 48 hours (Figure 3D).
Among the 8 individuals who later underwent surgery for symptomatic nonhydrocephalic pineal cyst (PC) with subsequent improvement of symptoms, tracer enrichment in cisterna magna was higher than in REF subjects after 1 and 2–2.5 hours (Figure 3E), whereas tracer blood concentration was higher in patients with PC than in REF subjects at 4–4 and 5–6 hours (Figure 3F). For patients with IIH, CSF tracer levels in cisterna magna were comparable between patients with IIH and REF subjects (Figure 3G), except for the first time point. However, the tracer blood concentration was significantly higher after 48 hours in subjects with IIH (Figure 3H). Age-adjusted values are given for tracer enrichment in CSF of cisterna magna (Supplemental Figure 1) and blood concentrations (Supplemental Figure 2).
Gadobutrol population pharmacokinetic modeling.
We established a 2-compartment model with first-order elimination from the central compartment; the model described the data adequately (Figure 4A). The final model achieved a mean predictive error of –0.069 and root mean square error of 39.4%. The Akaike information criterion and Bayesian information criterion were 143 and 165, respectively. The model-based gadobutrol blood concentrations for the different patient groups are shown in Figure 4B, indicating different profiles for the various patient groups.
A summary of the posterior, individual pharmacokinetic parameters for gadobutrol clearance from CSF to blood is shown in Table 3. The absorption half-life (t1/2, absorption) of gadobutrol to blood, the time taken for one-half of the administered dose to be absorbed from CSF to blood, was used to assess gadobutrol clearance from CSF to blood. In the reference group, mean t1/2, absorption was 6.3 ± 4.4 hours, and the maximum concentration (Cmax) 1.4 ± 0.6 μM was achieved after 9.8 ± 4.7 hours (Table 3).
Table 3. Model predicted pharmacokinetic parameters of gadobutrol in blood.
Discussion
The present study provides evidence that CSF tracer clearance can be measured when delivering a tracer to the CSF and thereafter determine tracer concentrations in blood at selected time points. Moreover, the time course of gadobutrol clearance from CSF to blood varies between patients with different neurological diagnoses.
CSF efflux routes.
A detailed understanding of molecular passage routes from subarachnoid CSF to lymphatics and blood is lacking. The tracer applied in the current study distributes freely in CSF and enriches all brain regions outside blood vessels (12). Here, gadobutrol is hypothesized to serve as surrogate marker for clearance of other drugs administered in CSF as well as endogenous molecules from brain metabolism after their excretion into the interstitial and perivascular brain compartment. Clearance of neurotoxic metabolites from CSF and the brain is hampered when meningeal lymphatic clearance mechanisms are defective (13). Although molecular efflux from CSF via the cribriform plate has traditionally been considered important, this efflux route was recently reported to be of minor importance in humans (14). The cranial and spinal nerve roots are also probable efflux roots, but their relative importance remain unclear (15). The role of direct transfer of molecules from CSF to veins via arachnoid granulations remains unclear (16), whereas the parasagittal dura seems to represent a direct passage route to the meningeal lymphatic structures (17). Advanced MR imaging seems crucial for assessment of CSF distribution (18) and CSF-CNS exchange (12), but more cost-effective and easily applicable approaches would be desirable for estimation of molecular clearance from the craniospinal compartment. The blood concentration of tracer is independent of the relative role of the different efflux routes, and provides for a final output representing the overall, CSF-mediated craniospinal molecular clearance.
Molecular clearance from CSF to systemic circulation.
So far, assessment of CSF tracer clearance has received limited attention. In a preliminary study, Verma et al. (19) reported passage of intrathecal 99mTc-DPTA to urine in volumes that related to the volume of injected substance. The authors proposed that intrathecal 99mTc-DPTA might be used to assess molecular exchange between the CSF and periphery in neurological diseases. A PET study using a tau PET ligand reported efflux to the nasal turbinate and reduced clearance from cerebral ventricles in patients with Alzheimer’s disease (20). It may be considered a limitation, however, that radioactive ligands are expensive and that the diagnostic process is time-consuming, which may prevent a more widespread use. Moreover, the methodology is associated with a radiation dose to the body (21), and it is questionable whether a tracer half-life of 6 hours would be long enough to sufficiently detect the differences between groups we observed at much later time points.
The literature on intrathecal opioids has previously demonstrated great variation in distribution volumes and clearance rate depending on the hydrophilic character of the opioids (22). Similarly, molecular size, relative hydrophilic, and lipophilic characters are all variables that would affect molecular CSF clearance.
MRI contrast agents as CSF tracers.
The efflux route of molecules from CSF may differ, depending on their molecular properties. We have previously used gadobutrol and visualized tracer passage to the entire brain (12, 23) and to the parasagittal dura (17) using standardized MRI T1 sequences. However, to retrieve information about exact quantities in CSF and brain using MRI, T1 maps would have to be applied. However, in blood, bound Gd within gadobutrol can readily be detected and quantified in minute amounts down to the order of picomole. In our experience, 2.5–500 nM are feasible concentrations, and the detection threshold in this study was about 1.35 nM. In several studies, we have provided evidence that intrathecal gadobutrol in low doses (0.5 mmol or lower) is safe (24, 25), and we administered intrathecal gadobutrol in a dose that is commonly used off-label for workup of CSF leaks in the clinic. The dosage, with aim of clearance assessment, can be reduced as the exogenous element Gd in gadobutrol is stable and detectable at very low concentrations in blood. The amount of Gd measured in the blood samples was at the higher end of optimal measuring range, which implies that the dosage can be reduced. We would expect that gadobutrol passes the BBB to a very limited degree and that blood concentrations largely reflect clearance along extravascular pathways. It should be noted, however, that aging and neurodegenerative disease are accompanied with impaired BBB integrity (26, 27), and evidence of BBB disruption has been observed in both patients with IIH (28) and iNPH (29). Therefore, we hypothesize that the methodology could be extended to incorporate use of other contrast agents that are already approved for intrathecal use, including most contrast agents used in x-ray and CT exams. These contrast agents are all eliminated from blood strictly through the kidneys, allowing for measurement of tracer concentration in urine as a possible option.
Implications of observed CSF elimination time course.
Our data indicate that gadobutrol concentrations in blood (see Figure 4) peak before peak tracer enhancement after about 24 hours in the parasagittal dura, serving as a link toward meningeal lymphatic vessels (17) and in neck lymph nodes (30). The role of cranial lymphatic clearance for gross CSF molecular clearance capacity needs to be determined. The present observations that blood concentrations peaked several hours before the previously shown tracer enrichment in parasagittal dura (17) may perhaps indicate a relatively minor role for molecular efflux over the brain convexities, and possibly a more important role of spinal efflux pathways. In line with this, recent studies suggest an important role of spinal efflux routes (31–33). With regard to molecular clearance from brain tissue, we have previously shown high association between tracer level in brain and CSF during both the enhancement and elimination phases after intrathecal administration, pointing at CSF clearance in having a decisive role for clearance of endogenous by-products from brain metabolism (12, 34). Given that CSF communicates directly with both the brain (12) and meningeal lymphatic vessels (35), it seems likely that impaired meningeal CSF clearance is the major determinate also for extravascular brain clearance.
Estimating CSF clearance of intrathecally administered drugs.
Although it was previously thought that a substance delivered to the CSF would penetrate the brain only a few millimeters into the cortical substance (36), we provided semiquantitative evidence from intrathecal contrast-enhanced MRI that a molecule of certain properties will distribute within the entire CNS (12). Therefore, intrathecal drug administration has the advantage of direct access to the CNS as it is not restricted by the BBB as systemically administered drugs (6). For example, antisense oligonucleotides (ASOs) that are presently developed for many CNS diseases require administration to the CSF for direct access to the CNS (5, 37). The ASO drug Spinraza, delivered by intrathecal injection, was recently approved for treatment of the neurodegenerative disease spinal muscular atrophy (2, 38). Moreover, the preclinical results of intrathecal ASOs and adeno-associated viral vector–mediated gene delivery to CNS are promising in treatment for other neurodegenerative diseases such as ALS, dementia disease, and spinocerebellar ataxia (1, 39–42). Another field is neurooncology, in which intrathecal chemotherapy may be associated with dose-related neurotoxic side effects (43, 44). However, estimation of CSF clearance from CSF, as described here, has previously not been part of assessment. Hypothetically, a measure of total molecular CSF clearance capacity to blood would be useful for dose estimation of therapeutic drugs.
Estimating CSF clearance in spontaneous intracranial hypotension.
The assessment of tracer clearance capacity from CSF to blood may have a role in various neurological diseases characterized by CSF disturbance. For example, in SIH patients it may be difficult to identify the site of CSF leakage (45). The visualization of CSF leakage has traditionally included MRI (45, 46), contrast-enhanced CT myelography (45), or intrathecal 99mTc-DPTA nuclear imaging (47). As presented here, gadobutrol in blood had higher concentration in SIH than REF subjects, thereby providing in vivo evidence for CSF leakage independent of imaging. Accordingly, in patients with questionable SIH and CSF leakage, determining concentration of a tracer in blood after injection to the CSF may be applied as a screening test to assess whether leakage is present before proceeding to imaging efforts that may be heavy on resources as well as radiation.
Craniospinal molecular clearance assessment in neurodegenerative disease.
In dementia, early diagnosis is mandatory for effective intervention. Most blood tests proposed for screening of dementia risk, or to diagnose established disease, aim to measure levels of circulating metabolic by-products such as Aβ and tau, which measures metabolic clearance indirectly (10).
Normal CNS function depends on adequate clearing of metabolic by-products. Even though the brain constitutes only about 2% of the body weight, it is the most energy-demanding organ and receives 20% of the cardiac output. Approximately 3 g of proteins are produced daily from brain metabolism, i.e., 3- to 4-fold higher protein synthesis rates than in skeletal muscle (48, 49). Days are required for clearance of proteins from the brain. Possibly, gadobutrol might be used as a surrogate marker of metabolic by-products excreted via CSF. A significant amount of Aβ isoforms are indeed cleared via CSF; about one-quarter of Aβ is cleared via CSF in rodents (50, 51). Tau to some extent passes across the BBB, particularly in the presence of BBB disruption. Hence, after injection to the cerebral ventricles, some forms of tau appeared in blood (52), and tau pathology was more severe in mice with BBB dysfunction (53). However, it seems that tau mostly does not pass across the BBB, and that a significant amount is excreted via CSF. Therefore, excretion of tau was significantly reduced in mice without dural lymphatic drainage (54), and there was a significant association between tau in blood and CSF (54). Accordingly, a test of CSF tracer clearance may be hypothesized to have better sensitivity to detect impaired clearance of endogenous neurotoxic molecules excreted along the same extravascular pathways as gadobutrol, not least in individuals with increased risk of dementia/Alzheimer’s disease or in chronic traumatic encephalopathy (55).
The estimation of CSF tracer clearance may be considered an analog to the estimation of GFR, which is the most important measure for kidney clearance function (11). GFR is accurately estimated by determining clearance of the exogenous filtration marker and x-ray contrast medium iohexol (11). In daily use, estimation of GFR is crucial for determining the safety of intravenously administered drugs. Likewise, we hypothesize the ability to accurately estimate craniospinal clearance capacity may also prove useful in predicting clearance of solutes and drugs circulating within the CSF. Here, assessment of CSF clearance using MRI contrast agent may be combined with imaging at patient level to assess the potential for distribution of drugs within brain tissue and the spinal cord, whereas in the latter, perivascular spaces have also been proven to directly communicate with the subarachnoid space (56).
Clinical use of a test for CSF tracer clearance.
In the clinical context, assessing CSF tracer clearance may require only 1 blood sample. After intrathecal administration of the tracer, the blood sample is obtained at the desired time point, depending on clinical indication for the test. In different settings, e.g., to test for CSF leakage, the blood sample may be obtained after a few hours. When suspecting delayed clearance, e.g., in neurodegenerative disease, the blood sample may more preferably be obtained at a time point within the range of 1–2 days. We are in a process to establish reference values for age-related molecular CSF clearance over time, against which a single blood sample may be compared. In later developments, more detailed information about age-related clearance impairment needs to be established. Other physiological variables such as clearance rate from blood (GFR) may also need to be considered. Half-life of gadobutrol in blood is 1.5 hours (57).
Limitations.
Some limitations should be noted. In this study, the amount of gadobutrol injected intrathecally was standardized to 0.5 mmol, regardless of fundamental patient characteristics such as dimensions of the craniospinal compartment, which may be a determining factor for CSF clearance capacity. Dose adjustments at individual level should be considered in future applications. The most optimal time points for retrieving blood samples could probably also be further sophisticated, both in the setting of suspected hyperaccelerated and delayed CSF clearance.
It may be considered a limitation that intrathecal gadobutrol is used off-label. In our experience, intrathecal gadobutrol in a dose of 0.5 mmol is safe (24, 25). Moreover, a recent systematic review concluded that serious adverse events have not been reported from administering intrathecal gadobutrol in a dose of 1.0 mmol or lower (58). Nevertheless, future studies should examine the utility of lower doses of gadobutrol.
The present blood concentrations of gadobutrol were measured in whole blood that was partly coagulated, which implied an extensive cleanup procedure involving homogenization of the samples. Gadobutrol is highly water soluble and eliminated from plasma through renal excretion, and it would be more convenient to analyze gadobutrol in whole blood samples with added anticoagulants or maybe in the plasma or serum fraction. Only a small amount of sample is needed (<0.5 mL) for gadobutrol analysis in blood. An optimization of the cleanup and analysis procedure may decrease the detection limit of the method even more. Bearing in mind that the amount of gadobutrol measured in the blood samples was at the higher end of optimal measuring range, this implies that the gadobutrol dosage needed for the purpose of CSF clearance assessment alone can be reduced significantly.
It also needs to be resolved to which extent assessment of gadobutrol clearance from CSF to blood is valid as a surrogate marker to predict clearance along similar pathways for neurotoxic by-products of metabolism (e.g., isoforms of Aβ and tau). In this respect, benefits of using contrast agents are several but are primarily their hydrophilic properties, stability in biological tissue, and ability to remain strictly confined to the outside of CNS blood vessels, thereby tracing extravascular CSF excretion pathways.
Finally, this study includes selected groups of patients, examined for tentative CSF disturbances of unclear cause, who we presently have in our database with whole blood samples after intrathecal contrast-enhanced MRI. The mechanisms underlying symptoms in these cases are unclear. Moreover, this is most evident for individuals with symptomatic nonhydrocephalic pineal cysts (PCs), in which some may present with pathologic intracranial pressure (ICP) indices (59) and even excellent clinical response to cyst removal (60). Since there was a clinical reason for MRI in all individuals and all individuals had symptoms, the REF cohort cannot be considered a healthy and normal cohort. However, in these individuals no apparent CSF disturbance was verified.
Conclusions.
CSF tracer clearance assessment is clinically feasible and may provide a way to predict extravascular clearance of intrathecal drugs and endogenous metabolites from the CNS. The time course of tracer level in blood concurred well with that in CSF, which was estimated here semiquantitatively using MRI. The peak of tracer in blood preceded by far the peak of enhancement in extracranial lymphatic structures as shown in previous studies, indicating that the spinal canal has a major role in CSF clearance. Further studies are required to more precisely determine the clinical utility of the methodology and show how it differentiates different neurological diseases.
Methods
Patients.
Individuals who were candidates for intrathecal contrast-enhanced MRI were referred to Department of Neurosurgery, Oslo University Hospital, for tentative CSF disturbances. Patients who showed no evidence of CSF disturbance were denoted REF subjects. In these individuals, no indication for surgery was found. Patients with SIH who had a defined leakage requiring surgery to close the leakage were denoted as SIH. The diagnosis of iNPH was based on clinical, imaging findings, and results of ICP monitoring, as previously described (61, 62). Additionally, patients were included who presented a clinical improvement following shunt surgery, qualifying for the diagnosis definite iNPH, according to the Japanese guidelines (63). We also included patients with PCs who later underwent surgery with cyst removal and postoperative clinical improvement. Furthermore, individuals with IIH were included. They were subsequently shunted and reported improvement thereafter.
No patients with a history of hypersensitivity reactions to contrast agents, severe allergy reactions in general, or evidence of renal dysfunction were included. We also did not include pregnant or breastfeeding women or individuals under 18 or more than 80 years of age.
Intrathecal tracer administration.
The intrathecal injection was performed by an interventional neuroradiologist. Correct position of the spinal needle in the subarachnoid space was verified by CSF backflow from the puncture needle, and injecting of a small amount (typically 3 mL) of 270 mg L/mL iodixanol (Visipaque, GE Healthcare) confirmed unrestricted distribution of radiopaque contrast agent in the lumbar subarachnoid space. The MRI contrast agent gadobutrol (Gadovist, Bayer Pharma AG) was given intrathecal in a volume of 0.5 mL (1.0 mmol/mL) at a speed of a few seconds. The study design with repeated MRI acquisitions and blood samples is presented in Figure 5.
MRI acquisitions.
A 3 Tesla Philips Ingenia MRI scanner (Philips Medical Systems) was used, with equal imaging protocol settings at each acquisition to obtain sagittal 3D T1-weighted volume scans. The imaging parameters included: repetition time = “shortest” (typically 5.1 ms), echo time = “shortest” (typically 2.3 ms), Flip angle = 8 degrees, field of view = 256 × 256 cm and matrix = 256 × 256 pixels (reconstructed 512 × 512), and slice thickness 1 mm. The MRI exams were categorized as follows: 1, 2–2.5, 4–5, 5–6.5, 22–26, and 46–54 hours. Tracer enrichment in CSF of cisterna magna was assessed by placing region of interest within the CSF (Supplemental Figure 2). To correct for baseline changes in image gray scale, a reference ROI was placed in the superior sagittal sinus in axially reconstructed images from the same T1 volume scan. The ratio refers to as normalized T1 signal units and percentage change in normalized T1 signal units from before contrast was determined. We have verified that the T1 signal within the sagittal sinus/confluence did not increase following intrathecal gadobutrol administration (Supplemental Figure 3).
Chemical analysis of Gd in blood.
Intravenous blood samples were obtained and kept in a freezer at –80°C. The blood samples were thawed and transferred to a 15 mL polyethylene vial and homogenized with an Ultra-Turrax homogenizer (IKA T18). Blanks were regularly prepared with a similar procedure with 6 mL ultrapure deionized Milli-Q water to control for background contamination from the Ultra-Turrax. Aliquots of the homogenized blood samples (approximately 0.6 g) were then subjected to microwave-assisted digestion with concentrated ultrapure distilled nitric acid mixed with ultrapure deionized Milli-Q water (3 mL water and 5 mL nitric acid). The samples were digested in an UltraCLAVE single reaction chamber microwave oven (Milestone) according to a 60-minute stepwise heating program, where hold time for maximum temperature (250°C) was 15 minutes. After digestion, the samples were allowed to cool down to room temperature into their vessels before being transferred to 50 mL polyethylene vials (VWR) and diluted with deionized ultrapure water. Two certified plant reference material from the National Institute of Standards & Technology (NIST), 1515 apple leaves and 1547 peach leaves containing 3 and 1 μg/g Gd, respectively, were subjected to similar microwave-assisted digestion to assess the recovery of Gd. Mean recoveries of Gd in the NIST apple leaves and NIST peach leaves were 95% ± 4.1% SD and 103% ± 7.7% SD, respectively. The blood samples were analyzed for Gd by inductively coupled plasma mass spectrometry (Agilent 7700x, single quadrupole MS; Agilent Technologies). Indium at 0.1 μg/L was used as internal standard. The samples were quantified using a 5-point standard curve (0.01–10 μg/L), and results were corrected for blank values. Representative detection limits for the analytics, estimated as 3 times the SD of 20 method blanks from 5 analytical runs, was 0.0009 μg/L. To ensure the correct quantification of the metals, 2 reference solutions of known element concentrations (0.1 and 1.0 μg/L) were analyzed in addition to in-house prepared standards. A deviation of 9% from the given concentration in the reference solution was accepted. Blanks were regularly analyzed to control for background contamination. The measured Gd concentrations in the blood samples were recalculated to gadobutrol concentrations.
Gadobutrol population pharmacokinetic modeling.
To accurately describe individual tracer (gadobutrol) pharmacokinetics, a population pharmacokinetic model was developed. A nonparametric adaptive grid approach implemented in Pmetrics (version 1.9.7) for R (version 4.0.0) was used (64). A total of 277 whole blood samples were included in the complete data set, across 52 individuals. Covariates were not included, owing to sole interest in individual pharmacokinetic predictions.
Posterior individual parameter values as well as posterior individually predicted concentrations obtained from the final population pharmacokinetic model were used for all pharmacokinetic calculations. The t1/2, absorption (time to 50% of tracer dose absorbed from CSF to blood) was used as a measure of molecular CSF clearance to blood, and determined by dividing the natural logarithm of 2 by the model estimated transfer rate constant from CSF to the central compartment. Area under curve from 0 to infinity (AUC0-¥) was calculated with the trapezoidal approximation from the individual posterior predicted concentrations using the “makeAUC”-function” in Pmetrics.
Statistics.
Repeated measurements were assessed with linear-mixed models using a subject-specific random intercept with an independent structure of residual errors at 1–24 and at 48 hours (i.e., assuming a different residual error at 48 hours compared with the previous observation times) using maximum likelihood estimation. We tested the difference between the groups at the different times after intrathecal CSF tracer with pairwise comparisons. The model-based parameters were compared between groups, using independent t test samples (2 tailed). For statistical analysis, we applied SPSS version 26 (IBM Corporation) or Stata/SE 15.0 (StataCorp LLC). A P value of 0.05 was considered significant.
Study approval.
The study was approved by the Regional Committee for Medical and Health Research Ethics of Health Region South-East, Oslo, Norway (2015/96); the IRB of Oslo University Hospital (2015/1868); and the National Medicines Agency, Oslo, Norway (15/04932-7). Participants of this prospective and observational study were included after written and oral informed consent were provided from January 2017 to May 2018.
Author contributions
PKE and GR conceptualized and designed the project. PKE and AL handled the blood samples. EM and HU performed the blood analysis. HC and MHH created the pharmacokinetic model. AHP, MHH, and PKE performed the statistical analysis. PKE and GR supervised and performed the administration and writing of the original draft. PKE, EM, UH, AL, AHP, BH, and GR wrote, reviewed, and edited the manuscript. All authors approved the final version of the manuscript.
Supplementary Material
Acknowledgments
We would like to thank Øivind Gjertsen, Bård Nedregaard, and Ruth Sletteberg, the Department of Radiology, Oslo University Hospital, Rikshospitalet, for performing the intrathecal gadobutrol injections in all study subjects. We would also like to thank the Intervention Centre and Department of Neurosurgery at Oslo University Hospital, Rikshospitalet, for providing valuable support with MR scanning and taking care of all study subjects throughout the study, and Marit Vadset, NILU-Norwegian Institute for Air Research, for performing all blood sample analyses. Finally, we would like to thank the Nurse Staff and Hydrocephalus Outward Clinic, Department of Neurosurgery at Oslo University Hospital, Rikshospitalet, for taking care of all study subjects throughout the study.
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Footnotes
Conflict of interest: PKE and GR have a patent pending (US 2020/0170509).
Copyright: © 2021, Eide et al. This is an open access article published under the terms of the Creative Commons Attribution 4.0 International License.
Reference information: JCI Insight. 2021;6(9):e147063.https://doi.org/10.1172/jci.insight.147063.
Contributor Information
Per K. Eide, Email: p.k.eide@medisin.uio.no.
Espen Mariussen, Email: ema@nilu.no.
Hilde Uggerud, Email: htu@nilu.no.
Are H. Pripp, Email: apripp@ous-hf.no.
Aslan Lashkarivand, Email: asllas@ous-hf.no.
Bjørnar Hassel, Email: bjornar.hassel@medisin.uio.no.
Hege Christensen, Email: hege.christensen@farmasi.uio.no.
Markus Herberg Hovd, Email: m.h.hovd@farmasi.uio.no.
Geir Ringstad, Email: gringsta@ous-hf.no.
References
- 1.Chen W, et al. Gene therapy for neurodegenerative disorders: advances, insights and prospects. Acta Pharm Sin B. 2020;10(8):1347–1359. doi: 10.1016/j.apsb.2020.01.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Wurster CD, et al. Intrathecal administration of nusinersen in adolescent and adult SMA type 2 and 3 patients. J Neurol. 2019;266(1):183–194. doi: 10.1007/s00415-018-9124-0. [DOI] [PubMed] [Google Scholar]
- 3.Petrescu GED, et al. MicroRNA based theranostics for brain cancer: basic principles. J Exp Clin Cancer Res. 2019;38(1):231. doi: 10.1186/s13046-019-1180-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Jadhav S, et al. A walk through tau therapeutic strategies. Acta Neuropathol Commun. 2019;7(1):22. doi: 10.1186/s40478-019-0664-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Chen Y, et al. Intrathecal delivery of antisense oligonucleotides in the rat central nervous system. J Vis Exp. 2019;(152) doi: 10.3791/60274. [DOI] [PubMed] [Google Scholar]
- 6.Pardridge WM. The blood-brain barrier: bottleneck in brain drug development. NeuroRx. 2005;2(1):3–14. doi: 10.1602/neurorx.2.1.3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Reeves BC, et al. Glymphatic system impairment in Alzheimer’s disease and idiopathic normal pressure hydrocephalus. Trends Mol Med. 2020;26(3):285–295. doi: 10.1016/j.molmed.2019.11.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Benveniste H, et al. The glymphatic system and waste clearance with brain aging: a review. Gerontology. 2019;65(2):106–119. doi: 10.1159/000490349. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Jawhar S, et al. Pyroglutamate amyloid-β (Aβ): a hatchet man in Alzheimer disease. J Biol Chem. 2011;286(45):38825–38832. doi: 10.1074/jbc.R111.288308. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Rissman RA, et al. Longitudinal plasma amyloid beta as a biomarker of Alzheimer’s disease. J Neural Transm (Vienna) 2012;119(7):843–850. doi: 10.1007/s00702-012-0772-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Nordin G, et al. Accuracy of determination of the glomerular filtration marker iohexol by European laboratories as monitored by external quality assessment. Clin Chem Lab Med. 2019;57(7):1006–1011. doi: 10.1515/cclm-2018-1175. [DOI] [PubMed] [Google Scholar]
- 12.Ringstad G, et al. Brain-wide glymphatic enhancement and clearance in humans assessed with MRI. JCI Insight. 2018;3(13):1–16. doi: 10.1172/jci.insight.121479. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Louveau A, et al. Understanding the functions and relationships of the glymphatic system and meningeal lymphatics. J Clin Invest. 2017;127(9):3210–3219. doi: 10.1172/JCI90603. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Melin E, et al. In vivo assessment of cerebrospinal fluid efflux to nasal mucosa in humans. Sci Rep. 2020;10(1):14974. doi: 10.1038/s41598-020-72031-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Pollay M. The function and structure of the cerebrospinal fluid outflow system. Cerebrospinal Fluid Res. 2010;7:9. doi: 10.1186/1743-8454-7-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Brinker T, et al. A new look at cerebrospinal fluid circulation. Fluids Barriers CNS. 2014;11:10. doi: 10.1186/2045-8118-11-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Ringstad G, Eide PK. Cerebrospinal fluid tracer efflux to parasagittal dura in humans. Nat Commun. 2020;11(1):354. doi: 10.1038/s41467-019-14195-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Lindstrom EK, et al. Cerebrospinal fluid volumetric net flow rate and direction in idiopathic normal pressure hydrocephalus. Neuroimage Clin. 2018;20:731–741. doi: 10.1016/j.nicl.2018.09.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Verma A, et al. Intrathecal 99mTc-DTPA imaging of molecular passage from lumbar cerebrospinal fluid to brain and periphery in humans. Alzheimers Dement (Amst) 2020;12(1):e12030. doi: 10.1002/dad2.12030. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.de Leon MJ, et al. Cerebrospinal fluid clearance in Alzheimer disease measured with dynamic PET. J Nucl Med. 2017;58(9):1471–1476. doi: 10.2967/jnumed.116.187211. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Hesterman JY, et al. Three-dimensional dosimetry for radiation safety estimates from intrathecal administration. J Nucl Med. 2017;58(10):1672–1678. doi: 10.2967/jnumed.117.190611. [DOI] [PubMed] [Google Scholar]
- 22.Ummenhofer WC, et al. Comparative spinal distribution and clearance kinetics of intrathecally administered morphine, fentanyl, alfentanil, and sufentanil. Anesthesiology. 2000;92(3):739–753. doi: 10.1097/00000542-200003000-00018. [DOI] [PubMed] [Google Scholar]
- 23.Eide PK, Ringstad G. Delayed clearance of cerebrospinal fluid tracer from entorhinal cortex in idiopathic normal pressure hydrocephalus: a glymphatic magnetic resonance imaging study. J Cereb Blood Flow Metab. 2019;39(7):1355–1368. doi: 10.1177/0271678X18760974. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Edeklev CS, et al. Intrathecal use of gadobutrol for glymphatic MR imaging: prospective safety study of 100 patients. AJNR Am J Neuroradiol. 2019;40(8):1257–1264. doi: 10.3174/ajnr.A6136. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Halvorsen M, et al. Off-label intrathecal use of gadobutrol: safety study and comparison of administration protocols. Neuroradiology. 2021;63(1):51–61. doi: 10.1007/s00234-020-02519-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Montagne A, et al. Blood-brain barrier breakdown in the aging human hippocampus. Neuron. 2015;85(2):296–302. doi: 10.1016/j.neuron.2014.12.032. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Montagne A, et al. APOE4 leads to blood-brain barrier dysfunction predicting cognitive decline. Nature. 2020;581(7806):71–76. doi: 10.1038/s41586-020-2247-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Hasan-Olive MM, et al. Blood-brain barrier dysfunction in idiopathic intracranial hypertension. J Neuropathol Exp Neurol. 2019;78(9):808–818. doi: 10.1093/jnen/nlz063. [DOI] [PubMed] [Google Scholar]
- 29.Eide PK, Hansson HA. Blood-brain barrier leakage of blood proteins in idiopathic normal pressure hydrocephalus. Brain Res. 2020;1727:146547. doi: 10.1016/j.brainres.2019.146547. [DOI] [PubMed] [Google Scholar]
- 30.Eide PK, et al. Magnetic resonance imaging provides evidence of glymphatic drainage from human brain to cervical lymph nodes. Sci Rep. 2018;8(1):7194. doi: 10.1038/s41598-018-25666-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Ma Q, et al. Clearance of cerebrospinal fluid from the sacral spine through lymphatic vessels. J Exp Med. 2019;216(11):2492–2502. doi: 10.1084/jem.20190351. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Bechter K, Schmitz B. Cerebrospinal fluid outflow along lumbar nerves and possible relevance for pain research: case report and review. Croat Med J. 2014;55(4):399–404. doi: 10.3325/cmj.2014.55.399. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Zenker W, et al. Morphological indications for considerable diffuse reabsorption of cerebrospinal fluid in spinal meninges particularly in the areas of meningeal funnels. An electronmicroscopical study including tracing experiments in rats. Anat Embryol (Berl) 1994;189(3):243–258. doi: 10.1007/BF00239012. [DOI] [PubMed] [Google Scholar]
- 34.Ringstad G, et al. Glymphatic MRI in idiopathic normal pressure hydrocephalus. Brain. 2017;140(10):2691–2705. doi: 10.1093/brain/awx191. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Rustenhoven J, Kipnis J. Bypassing the blood-brain barrier. Science. 2019;366(6472):1448–1449. doi: 10.1126/science.aay0479. [DOI] [PubMed] [Google Scholar]
- 36.Pardridge WM. Drug transport in brain via the cerebrospinal fluid. Fluids Barriers CNS. 2011;8(1):7. doi: 10.1186/2045-8118-8-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Mazur C, et al. Brain pharmacology of intrathecal antisense oligonucleotides revealed through multimodal imaging. JCI Insight. 2019;4(20):129240. doi: 10.1172/jci.insight.129240. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Finkel RS, et al. Treatment of infantile-onset spinal muscular atrophy with nusinersen: a phase 2, open-label, dose-escalation study. Lancet. 2016;388(10063):3017–3026. doi: 10.1016/S0140-6736(16)31408-8. [DOI] [PubMed] [Google Scholar]
- 39.Nguyen AD, et al. Murine knockin model for progranulin-deficient frontotemporal dementia with nonsense-mediated mRNA decay. Proc Natl Acad Sci U S A. 2018;115(12):E2849–E2858. doi: 10.1073/pnas.1722344115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.McCampbell A, et al. Antisense oligonucleotides extend survival and reverse decrement in muscle response in ALS models. J Clin Invest. 2018;128(8):3558–3567. doi: 10.1172/JCI99081. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Niu C, et al. Antisense oligonucleotides targeting mutant Ataxin-7 restore visual function in a mouse model of spinocerebellar ataxia type 7. Sci Transl Med. 2018;10(465):eaap8677. doi: 10.1126/scitranslmed.aap8677. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Hardcastle N, et al. AAV gene delivery to the spinal cord: serotypes, methods, candidate diseases, and clinical trials. Expert Opin Biol Ther. 2018;18(3):293–307. doi: 10.1080/14712598.2018.1416089. [DOI] [PubMed] [Google Scholar]
- 43.Byrnes DM, et al. Complications of intrathecal chemotherapy in adults: single-institution experience in 109 consecutive patients. J Oncol. 2019;2019:4047617. doi: 10.1155/2019/4047617. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Livshits Z, et al. An approach to chemotherapy-associated toxicity. Emerg Med Clin North Am. 2014;32(1):167–203. doi: 10.1016/j.emc.2013.09.002. [DOI] [PubMed] [Google Scholar]
- 45.Farb RI, et al. Spontaneous intracranial hypotension: a systematic imaging approach for CSF leak localization and management based on MRI and digital subtraction myelography. AJNR Am J Neuroradiol. 2019;40(4):745–753. doi: 10.3174/ajnr.A6016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Rahman M, et al. Spontaneous intracranial hypotension: dilemmas in diagnosis. Neurosurgery. 2011;69(1):4–14. doi: 10.1227/NEU.0b013e3182134399. [DOI] [PubMed] [Google Scholar]
- 47.Novotny C, et al. SPECT/CT fusion imaging in radionuclide cisternography for localization of liquor leakage sites. J Neuroimaging. 2009;19(3):227–234. doi: 10.1111/j.1552-6569.2008.00270.x. [DOI] [PubMed] [Google Scholar]
- 48.Smeets JSJ, et al. Brain tissue plasticity: protein synthesis rates of the human brain. Brain. 2018;141(4):1122–1129. doi: 10.1093/brain/awy015. [DOI] [PubMed] [Google Scholar]
- 49.Sundaram SK, et al. Quantification of protein synthesis in the human brain using L-[1-11C]-leucine PET: incorporation of factors for large neutral amino acids in plasma and for amino acids recycled from tissue. J Nucl Med. 2006;47(11):1787–1795. [PubMed] [Google Scholar]
- 50.Roberts KF, et al. Amyloid-β efflux from the central nervous system into the plasma. Ann Neurol. 2014;76(6):837–844. doi: 10.1002/ana.24270. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Feng W, et al. Microglia prevent beta-amyloid plaque formation in the early stage of an Alzheimer’s disease mouse model with suppression of glymphatic clearance. Alzheimers Res Ther. 2020;12(1):125. doi: 10.1186/s13195-020-00688-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Banks WA, et al. Tau proteins cross the blood-brain barrier. J Alzheimers Dis. 2017;55(1):411–419. doi: 10.3233/JAD-160542. [DOI] [PubMed] [Google Scholar]
- 53.Sagare AP, et al. Pericyte loss influences Alzheimer-like neurodegeneration in mice. Nat Commun. 2013;4:2932. doi: 10.1038/ncomms3932. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
- 54.Patel TK, et al. Dural lymphatics regulate clearance of extracellular tau from the CNS. Mol Neurodegener. 2019;14(1):11. doi: 10.1186/s13024-019-0312-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Plog BA, et al. Biomarkers of traumatic injury are transported from brain to blood via the glymphatic system. J Neurosci. 2015;35(2):518–526. doi: 10.1523/JNEUROSCI.3742-14.2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Lam MA, et al. The ultrastructure of spinal cord perivascular spaces: Implications for the circulation of cerebrospinal fluid. Sci Rep. 2017;7(1):12924. doi: 10.1038/s41598-017-13455-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Staks T, et al. Pharmacokinetics, dose proportionality, and tolerability of gadobutrol after single intravenous injection in healthy volunteers. Invest Radiol. 1994;29(7):709–715. doi: 10.1097/00004424-199407000-00008. [DOI] [PubMed] [Google Scholar]
- 58.Patel M, et al. Safety of intrathecal administration of gadolinium-based contrast agents: a systematic review and meta-analysis. Radiology. 2020;297(1):75–83. doi: 10.1148/radiol.2020191373. [DOI] [PubMed] [Google Scholar]
- 59.Eide PK, Ringstad G. Increased pulsatile intracranial pressure in patients with symptomatic pineal cysts and magnetic resonance imaging biomarkers indicative of central venous hypertension. J Neurol Sci. 2016;367:247–255. doi: 10.1016/j.jns.2016.06.028. [DOI] [PubMed] [Google Scholar]
- 60.Eide PK, Ringstad G. Results of surgery in symptomatic non-hydrocephalic pineal cysts: role of magnetic resonance imaging biomarkers indicative of central venous hypertension. Acta Neurochir (Wien) 2017;159(2):349–361. doi: 10.1007/s00701-016-3029-4. [DOI] [PubMed] [Google Scholar]
- 61.Eide PK, Sorteberg W. Diagnostic intracranial pressure monitoring and surgical management in idiopathic normal pressure hydrocephalus: a 6-year review of 214 patients. Neurosurgery. 2010;66(1):80–91. doi: 10.1227/01.NEU.0000363408.69856.B8. [DOI] [PubMed] [Google Scholar]
- 62.Eide PK, Sorteberg W. Outcome of surgery for idiopathic normal pressure hydrocephalus: role of preoperative static and pulsatile intracranial pressure. World Neurosurg. 2016;86:186–193. doi: 10.1016/j.wneu.2015.09.067. [DOI] [PubMed] [Google Scholar]
- 63.Mori E, et al. Guidelines for management of idiopathic normal pressure hydrocephalus: second edition. Neurol Med Chir (Tokyo) 2012;52(11):775–809. doi: 10.2176/nmc.52.775. [DOI] [PubMed] [Google Scholar]
- 64.Neely MN, et al. Accurate detection of outliers and subpopulations with Pmetrics, a nonparametric and parametric pharmacometric modeling and simulation package for R. Ther Drug Monit. 2012;34(4):467–476. doi: 10.1097/FTD.0b013e31825c4ba6. [DOI] [PMC free article] [PubMed] [Google Scholar]
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