Evidence map›Paper›PMID 37334053›Full record

ArticleFrontiers in physiology2023

A mechanistic pharmacokinetic model for intrathecal administration of antisense oligonucleotides.

Andreas A Linninger, Dipak Barua, Yaming Hang, Sergio Iadevaia, Majid Vakilynejad

Abstract read
In one paragraph

Article in Frontiers in physiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Intrathecal administration of Anti-Nogo-A antibody in macaque monkeys: Pharmacokinetics, tissue penetration and target interaction.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
    Article
  5. Tissue distribution pharmacokinetics of intrathecal U1 adaptor oligonucleotide in mice.Current research in pharmacology and drug discovery · 2025
    Article
  6. Review
  7. Frontiers in bioengineering and biotechnology · 2025
    Article
  8. Article
  9. Article
  10. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Andreas A LinningerUniversity of Illinois at Chicago, Chicago, IL, United States.
Dipak BaruaTakeda Pharmaceuticals, Cambridge, MA, United States.
Yaming HangTakeda Pharmaceuticals, Cambridge, MA, United States.
Sergio IadevaiaTakeda Pharmaceuticals, Cambridge, MA, United States.
Majid VakilynejadTakeda Pharmaceuticals, Cambridge, MA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intrathecal administration is an important mode for delivering biological agents targeting central nervous system (CNS) diseases. However, current clinical practices lack a sound theorical basis for a quantitative understanding of the variables and conditions that govern the delivery efficiency and specific tissue targeting especially in the brain. This work presents a distributed mechanistic pharmacokinetic model (DMPK) for predictive analysis of intrathecal drug delivery to CNS. The proposed DMPK model captures the spatiotemporal dispersion of antisense oligonucleotides (ASO) along the neuraxis over clinically relevant time scales of days and weeks as a function of infusion, physiological and molecular properties. We demonstrate its prediction capability using biodistribution data of antisense oligonucleotide (ASO) administration in non-human primates. The results are in close agreement with the observed ASO pharmacokinetics in all key compartments of the central nervous system. The model enables determination of optimal injection parameters such as intrathecal infusion volume and duration for maximum ASO delivery to the brain. Our quantitative model-guided analysis is suitable for identifying optimal parameter settings to target specific brain regions with therapeutic drugs such as ASOs.

Indexed as

antisense oligodeonucleotidescentral nervous systemcomputational fluid dynamicsintrathecal deliverypharmacokinetic modeling and simulation

Identifiers

PMID37334053
PMCPMC10272745

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.