Evidence map›Paper›PMID 40376611›Full record

ArticleFrontiers in neuroscience2025

An evaluation of distinct adeno-associated virus vector strategies for driving transgene expression in spinal inhibitory neurons of the rat.

Laura Klinger, Anna S M Siegert, Raphael Holzinger, Lidia Trofimova, Sibel Ada, Ruth Drdla-Schutting

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

6 authors.

Laura Klinger *Division of Neurophysiology, Center for Brain Research, Medical University of Vienna, Vienna, Austria.
Anna S M Siegert *Division of Neurophysiology, Center for Brain Research, Medical University of Vienna, Vienna, Austria.
Raphael Holzinger *Division of Neurophysiology, Center for Brain Research, Medical University of Vienna, Vienna, Austria.
Lidia TrofimovaDivision of Neurophysiology, Center for Brain Research, Medical University of Vienna, Vienna, Austria.
Sibel AdaDivision of Neurophysiology, Center for Brain Research, Medical University of Vienna, Vienna, Austria.
Ruth Drdla-SchuttingDivision of Neurophysiology, Center for Brain Research, Medical University of Vienna, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The spinal cord dorsal horn (DH) is essential for processing and transmitting nociceptive information. Its neuronal subpopulations exhibit significant heterogeneity in morphology and intrinsic properties, forming complex circuits that remain only partially understood. Under physiological and pathological conditions, inhibitory interneurons in the DH are of particular interest. These neurons modulate and refine pain-related signals entering the central nervous system. The ability to selectively target these inhibitory interneurons is key to investigating the underlying circuitry and mechanisms of pain processing, as well as to understand the specific role of inhibitory signaling within these processes. We employed a viral vector approach to deliver a fluorescent reporter protein specifically to inhibitory interneurons in the rat spinal cord. Using adeno-associated virus (AAV) vectors designed to express enhanced green fluorescent protein (EGFP) under the control of various promoters, we targeted distinct subtypes of spinal inhibitory interneurons. Through immunostaining,

Indexed as

adeno-associated virus vectorsdorsal horninhibitory interneuronsintraparenchymal injectionnociceptionratspinal cord

Identifiers

PMID40376611
PMCPMC12078132

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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.