Evidence map›Paper›PMID 35288402›Full record

ArticleCold Spring Harbor perspectives in medicine2022

Lymphatic Tissue and Organ Engineering for In Vitro Modeling and In Vivo Regeneration.

Anna M Kolarzyk, Gigi Wong, Esak Lee

Open access · greenAbstract read
In one paragraph

Article in Cold Spring Harbor perspectives in medicine, 2022. 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, 4 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 2 institutions in 1 country.

Anna M Kolarzyk *Nancy E. and Peter C. Meinig School of Biomedical Engineering, Ithaca, New York 14853, USA.
Gigi Wong *Nancy E. and Peter C. Meinig School of Biomedical Engineering, Ithaca, New York 14853, USA.
Esak LeeNancy E. and Peter C. Meinig School of Biomedical Engineering, Ithaca, New York 14853, USA.
Ithaca College · USCornell University · US

Funding

Tissue-Engineered Models of Lymphatic Drainage in Breast CancerR01CA279560 · NCI · CORNELL UNIVERSITY · PI Esak Lee · 2023 to 2026
$1.6M
A Bioengineered Model of Tumor Vessel Interactions in Pancreatic CancerR21CA252162 · NCI · CORNELL UNIVERSITY · PI LEE, ESAK · 2022 to 2023
$401k
A Bioengineered Model for Deciphering Lymphatic Dysfunction in InflammationR21AI166772 · NIAID · CORNELL UNIVERSITY · PI LEE, ESAK · 2021 to 2022
$400k
NCI NIH HHS R01 CA279560NCI NIH HHS R21 CA252162NIAID NIH HHS R21 AI166772
6 · The paper itself

Abstract

The lymphatic system has an important role in maintaining fluid homeostasis and transporting immune cells and biomolecules, such as dietary fat, metabolic products, and antigens in different organs and tissues. Therefore, impaired lymphatic vessel function and/or lymphatic vessel deficiency can lead to numerous human diseases. The discovery of lymphatic endothelial markers and prolymphangiogenic growth factors, along with a growing number of in vitro and in vivo models and technologies has expedited research in lymphatic tissue and organ engineering, advancing therapeutic strategies. In this article, we describe lymphatic tissue and organ engineering in two- and three-dimensional culture systems and recently developed microfluidics and organ-on-a-chip systems in vitro. Next, we discuss advances in lymphatic tissue and organ engineering in vivo, focusing on biomaterial and scaffold engineering and their applications for lymphatic vessels and lymphoid organ regeneration. Last, we provide expert perspective and prospects in the field of lymphatic tissue engineering.

Identifiers

PMID35288402
PMCPMC9435571
OpenAlexW4221011703

What OpenQuestion holds

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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.