Evidence map›Paper›PMID 22449933›Full record

ArticleMethods in enzymology2012

Peptide nanomedicines for treatment of acute lung injury.

Ruxana T Sadikot

Open access · greenAbstract read
In one paragraph

Article in Methods in enzymology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.7field-weighted citation impact, top 4% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. TREM-1-accentuated lung injury via miR-155 is inhibited by LP17 nanomedicine.American journal of physiology. Lung cellular and molecular physiology · 2016
    Article
  6. Review
  7. 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

1 author at 1 institution in 1 country.

Ruxana T SadikotJesse Brown VA Medical Center, Section of Pulmonary, Critical Care Medicine, University of Illinois at Chicago, Chicago, Illinois, USA.
Jesse Brown VA Medical Center · US

Funding

TREM-1 in Lung Immune ResponseI01BX001786 · VA · VETERANS HEALTH ADMINISTRATION · PI Ruxana T Sadikot · 2013 to 2026
–
BLRD VA I01 BX001786
6 · The paper itself

Abstract

Acute lung injury (ALI) and acute respiratory distress syndrome (ARDS) represent a heterogenous group of lung disease in critically ill patients. Despite the increased understanding of the molecular pathogenesis of ARDS, the mortality remains unacceptably high, ranging from 34% to 64%. Hence, ARDS represents an unmet medical need with an urgency to develop effective pharmacotherapies. Several promising targets that have been identified as potential therapies for ARDS have been limited because of difficulty with delivery. In particular, delivery of peptides and proteins to the lung is an ongoing challenge. Nanobiotechnology and nanoscience are the basis of innovative techniques to deliver drugs targeted to the site of inflamed organs, such as the lungs. Nanoscale drug delivery systems have the ability to improve the pharmacokinetics and pharmakodynamics of agents allowing an increase in the biodistribution of therapeutic agents to target organs, resulting in improved efficacy with reduction in drug toxicity. These systems are exploited for therapeutic purpose to carry the drug in the body in a controlled manner from the site of administration to the therapeutic target. Hence, it is an attractive strategy to test potential targets for ALI/ARDS using nanotechnology. To this end, we have identified several potential targets and proposed the delivery of these agents using nanomicelles to improve the drug delivery.

Indexed as

NanomedicineAcute Lung InjuryHumansPeptidesPeptides

Identifiers

PMID22449933
PMCPMC7149708
OpenAlexW2418644018

What OpenQuestion holds

Textmetadata
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.