| Literature DB >> 33935624 |
Vasily Belov1,2,3, Janine Appleton1, Stepan Levin1, Pilar Giffenig1, Beata Durcanova1, Mikhail Papisov1,2,3.
Abstract
The increasing number of studies demonstrates the high potency of the intrathecal (IT) route for the delivery of biopharmaceuticals to the central nervous system (CNS). Our earlier data exhibited that both the infused volume and the infusion rate can regulate the initial disposition of the administered solute within the cerebrospinal fluid (CSF). This disposition is one of key factors in defining the subsequent transport of the solute to its intended target. On the other hand, fast additions of large volumes of liquid to the CSF inevitably raise the CSF pressure [a.k.a. intracranial pressure (ICP)], which may in turn lead to adverse reactions if the physiologically delimited threshold is exceeded. While long-term biological effects of elevated ICP (hydrocephalus) are known, the safety thresholds pertaining to short-term ICP elevations caused by IT administrations have not yet been characterized. This study aimed to investigate the dynamics of ICP in rats and non-human primates (NHPs) with respect to IT infusion rates and volumes. The safety regimes were estimated and analyzed across species to facilitate the development of translational large-volume IT therapies. The data revealed that the addition of a liquid to the CSF raised the ICP in a rate and volume-dependent manner. At low infusion rates (<0.12 ml/min in rats and <2 ml/min in NHPs), NHPs and rats displayed similar tolerance patterns. Specifically, safe accommodations of such added volumes were mainly facilitated by the accelerated pressure-dependent CSF drainage into the blood, with I stabilizing at different levels below the safety threshold of 28 ± 4 mm Hg in rats and 50 ± 5 mm Hg in NHPs. These ICPs were safely tolerated for extended durations (of at least 2-25 min). High infusion rates (including boluses) caused uncompensated exponential ICP elevations rapidly exceeding the safety thresholds. Their tolerance was species-dependent and was facilitated by the compensatory role of the varied components of craniospinal compliance while not excluding the possibility of other contributing factors. In conclusion, large volumes of liquids can safely be delivered via IT routes provided that ICP is monitored as a safety factor and cross-species physiological differences are accounted for.Entities:
Keywords: central nervous system; cerebrospinal fluid; craniospinal compliance; intracranial pressure; intrathecal delivery; macromolecules; safety; subarachnoid
Year: 2021 PMID: 33935624 PMCID: PMC8079755 DOI: 10.3389/fnins.2021.604197
Source DB: PubMed Journal: Front Neurosci ISSN: 1662-453X Impact factor: 4.677
FIGURE 2Viability of the CSF drainage system under pressure. (A) A sketch of the originally developed experimental setup for measuring the rate of unconstrained CSF drainage at different ICPs. Components of the setup: (I) bench-top pole with a suspended saline bag set at different heights, (II) dripper with calibrated drop size attached to the saline bag and connected to the saline line, (III) Tuohy Borst adapter attached to the catheter inserted in the cisterna magna; saline line connected to the adapter’s side arm, (IV) micro-tip pressure sensor advanced to the cisterna magna through the adapter and catheter, (V) data acquisition platform, (VI) control and data analysis console (note the ICP fluctuations on the computer screen caused by falling drops), (VII) small-animal isoflurane anesthesia platform. (B) ICP dependency of the CSF drainage rate. MTP: maximally tolerated pressure. Black asterisks mark MTP for each rat. Data points in the 6–23 mm Hg region were used to build a linear regression (parameters are shown).
FIGURE 1Characteristics of ICP elevation in a rat. (A) Various ICPs induced by a saline column attached to the rat’s CSF in the cisterna magna. Shaded area indicates baseline ICP. A representative ICP pulse waveform at low and high pressures are shown in the left and right sides, respectively. P1, P2, and P3 are the major pulse’s harmonics. (B) The amplitude-frequency characteristics of the spectrally resolved P1, P2, and P3 harmonics of the baseline ICP pulses (shaded area in panel A). A result of averaging of 2564 FFTs each consisting of 2000 points. (C) Spectrum view of the changes in the harmonics’ frequencies and amplitudes as a result of ICP elevation over time (A). (D) ICP autoregulatory capacity and compensatory reserve in rats. Three specific zones characterizing different states of ICP compensatory reserve are shown and are based on the correlation between the mean amplitude of the P1 component of the ICP pulse and the mean ICP. Each data point represents a mean value obtained by averaging over four animals. Error bars indicate standard deviations. Least-squares linear regression is depicted for each zone with the following R2 statistic (left to right): 0.9438, 0.9978, and 1.0000.
FIGURE 3Intracranial pressure (ICP) response to IT infusions. (A) ICP–IT infused volume relationship for different infusion rates. “Critical pressure” (28 ± 4 mm Hg) denotes the ICP above which pressure compensatory mechanisms were found to be impaired (Figure 1D). (B) Relation of the approximated plateau ICPs with the infusion rates. Parameters of the linear regression for infusion rates in the interval of 10–40 μl/min are shown. Error bars represent standard errors obtained by averaging the data points in Figure 1A at the steady state (>150 μl of the infused volume). (C) A representative picture of the ICP response to the infusion of the same volume (120 μl) at three different rates–40, 80, and 120 μl/min. The shaded area is the baseline ICP. A representative ICP waveform is shown in the bottom. (D) Relationship between the time of relaxation to the baseline ICP and the magnitude of ICP elevation. Non-averaged data points of individual experiments are shown. Parameters of the linear regression are given for 10–40 μl/min infusion rates. (E) A representative picture of the harmonic analysis of the shaded area in panel (C). A result of averaging of 1158 FFTs each consisting of 2000 points. P1, P2, and P3 harmonics were spectrally resolved at all pressures. (F) Spectrum view of changes in the harmonics’ frequencies and amplitudes as a result of IT infusions.
FIGURE 4Bolus IT injections in rats. (A) The time-dependence curve of ICP elevation. The average administration rate is 2.7 ± 0.9 ml/min. (B) Dependence of the ICP elevation on the injected volume. (C) The pressure dependence of the total ICP elevation (blue) and ICP relaxation time (red).
FIGURE 5Large-volume bolus IT injections in monkeys. (A) Time-dependence of the ICP measured in-line (ICP) for a series of 1 ml bolus injections in the cynomolgus monkey with the average infusion rate of 5.3 ± 1.8 ml/min. (B) Time-dependence of ICP for a series of 3 ml infusions in the cynomolgus monkey with the average infusion rate of 1.9 ± 0.6 ml/min. (C) Time-dependence of ICP for a 5 ml bolus injection in the rhesus monkey with the infusion rate of 1.8 ml/min. (D) Relation of the pressure in the IT injection port with the injection rate. (E) Dependence of the CSF pressure (ICP) on the infused volume for different infusion rates in the rhesus and cynomolgus monkey. The ICP was derived by correcting the ICP for the resistance pressure in the port. (F) Relation of the approximated steady-state ICPs with the infusion rates. Parameters of the linear regression are shown. Error bars on the panels (E,F) represent standard deviations.