Evidence map›Paper›PMID 33178039›Full record

ArticleFrontiers in physiology2020

Continuous, Automated Breathing Rate and Body Motion Monitoring of Rats With Paraquat-Induced Progressive Lung Injury.

Szczepan W Baran, Ayan Das Gupta, Maria A Lim, Ashwini Mathur, David J Rowlands, Laura R Schaevitz, Shiva K Shanmukhappa, Dana B Walker

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Validation framework forFrontiers in toxicology · 2024
    Review
  5. Article
  6. Article
  7. Review
  8. 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

8 authors at 6 institutions in 5 countries.

Szczepan W BaranEmerging Technologies, Laboratory Animal Services, Scientific Operations, Novartis Institutes for BioMedical Research (NIBR), Inc., Cambridge, MA, United States.
Ayan Das GuptaClinical Development & Analytics (CD&A), Novartis Healthcare Pvt Ltd., Hyderabad, India.
Maria A LimVium, Inc., San Mateo, CA, United States.
Ashwini MathurData Science and AI, Novartis Ireland Ltd., Dublin, Ireland.
David J RowlandsRespiratory Diseases, Novartis Institutes for BioMedical Research (NIBR), Inc., Cambridge, MA, United States.
Laura R SchaevitzVium, Inc., San Mateo, CA, United States.
Shiva K ShanmukhappaPreclinical Safety Assessment, Vertex Pharmaceuticals, Boston, MA, United States.
Dana B WalkerDiscovery Investigative Safety, Novartis Institutes for BioMedical Research (NIBR), Inc., Cambridge, MA, United States.
College of San Mateo · USNovartis (United States) · USNovartis (China) · CNNovartis (India) · INNovartis (Ireland) · IENovartis (Switzerland) · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessments of respiratory response and animal activity are useful endpoints in drug pharmacology and safety research. We investigated whether continuous, direct monitoring of breathing rate and body motion in animals in the home cage using the Vum Digital Smart House can complement standard measurements in enabling more granular detection of the onset and severity of physiologic events related to lung injury in a well-established rodent model of paraquat (PQ) toxicity. In rats administered PQ, breathing rate was significantly elevated while body motion was significantly reduced following dosing and extending throughout the 14-day study duration for breathing rate and at least 5 days for both nighttime and daytime body motion. Time course differences in these endpoints in response to the potential ameliorative test article bardoxolone were also readily detected. More complete than standard in-life measurements, breathing rate and body motion tracked injury progression continuously over the full study time period and aligned with, and informed on interval changes in clinical pathology. In addition, breathing rates correlated with terminal pathology measurements, such as normalized lung weights and histologic alveolar damage and edema. This study is a preliminary evaluation of the technology; our results demonstrate that continuously measured breathing rate and body motion served as physiologically relevant readouts to assess lung injury progression and drug response in a respiratory injury animal model.

Indexed as

activitybreathing ratedigital biomarkersdrug discoverylung injuryparaquatrodenttranslational research

Identifiers

PMID33178039
PMCPMC7596732
OpenAlexW3093436286

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.