Evidence map›Paper›PMID 37503070›Full record

ArticlebioRxiv : the preprint server for biology2023

Statistical Optimization of Hydrazone-Crosslinked Hyaluronic Acid Hydrogels for Protein Delivery.

Esther A Mozipo, Alycia N Galindo, Jenna D Khachatourian, Conor G Harris, Jonathan Dorogin, Veronica R Spaulding, Madeleine R Ford, Malvika Singhal, Kaitlin C Fogg, Marian H Hettiaratchi

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Esther A MozipoPhil and Penny Knight Campus for Accelerating Scientific Impact, University of Oregon, Eugene, OR.
Alycia N GalindoPhil and Penny Knight Campus for Accelerating Scientific Impact, University of Oregon, Eugene, OR.
Jenna D KhachatourianPhil and Penny Knight Campus for Accelerating Scientific Impact, University of Oregon, Eugene, OR.
Conor G HarrisSchool of Chemical, Biological, and Environmental Engineering, Oregon State University, Corvallis, OR.
Jonathan DoroginPhil and Penny Knight Campus for Accelerating Scientific Impact, University of Oregon, Eugene, OR.
Veronica R SpauldingDepartment of Chemistry and Biochemistry, University of Oregon, Eugene, OR.
Madeleine R FordPhil and Penny Knight Campus for Accelerating Scientific Impact, University of Oregon, Eugene, OR.
Malvika SinghalPhil and Penny Knight Campus for Accelerating Scientific Impact, University of Oregon, Eugene, OR.
Kaitlin C FoggSchool of Chemical, Biological, and Environmental Engineering, Oregon State University, Corvallis, OR.
Marian H HettiaratchiPhil and Penny Knight Campus for Accelerating Scientific Impact, University of Oregon, Eugene, OR.
University of Oregon · USOregon State University · US

Funding

A Directed Evolution Approach to Affinity-Based Protein DeliveryR21EB032112 · NIBIB · UNIVERSITY OF OREGON · PI HETTIARATCHI, MARIAN HIRUSHIKA · 2021 to 2023
$602k
NIBIB NIH HHS R21 EB032112
6 · The paper itself

Abstract

Hydrazone-crosslinked hydrogels are attractive protein delivery vehicles for regenerative medicine. However, each regenerative medicine application requires unique hydrogel properties to achieve an ideal outcome. The properties of a hydrogel can be impacted by numerous factors involved in its fabrication. We used design of experiments (DoE) statistical modeling to efficiently optimize the physicochemical properties of a hyaluronic acid (HA) hydrazone-crosslinked hydrogel for protein delivery for bone regeneration. We modified HA with either adipic acid dihydrazide (HA-ADH) or aldehyde (HA-Ox) functional groups and used DoE to evaluate the interactions of three input variables, the molecular weight of HA (40 or 100 kDa), the concentration of HA-ADH (1-3% w/v), and the concentration of HA-Ox (1-3% w/v), on three output responses, gelation time, compressive modulus, and hydrogel stability over time. We identified 100 kDa HA-ADH

Identifiers

PMID37503070
PMCPMC10370027
OpenAlexW4384405773

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.