Evidence map›Paper›PMID 39735831›Full record

ArticleChemical & biomedical imaging2024

Multimodal Imaging Unveils the Impact of Nanotopography on Cellular Metabolic Activities.

Zhi Li, Einollah Sarikhani, Sirasit Prayotamornkul, Dhivya Pushpa Meganathan, Zeinab Jahed, Lingyan Shi

Abstract read
In one paragraph

Article in Chemical & biomedical imaging, 2024. 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
–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

7 citing papers in PubMed.

  1. Article
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  3. Review
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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.

Zhi LiShu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, California 92093, United States.ORCID https://orcid.org/0009-0008-0675-5494
Einollah SarikhaniAiiso Yufeng Li Family Department of Chemical and Nano Engineering, University of California San Diego, La Jolla, California 92093, United States.ORCID https://orcid.org/0000-0002-7841-5244
Sirasit PrayotamornkulShu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, California 92093, United States.ORCID https://orcid.org/0009-0002-5170-6970
Dhivya Pushpa MeganathanShu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, California 92093, United States.
Zeinab JahedShu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, California 92093, United States.
Lingyan ShiShu Chien-Gene Lay Department of Bioengineering, University of California San Diego, La Jolla, California 92093, United States.ORCID https://orcid.org/0000-0003-1373-3206

Funding

Training and Career Development CoreU54CA132378 · NCI · CITY COLLEGE OF NEW YORK · PI Tim Alan Ahles, ADRIANA ESPINOSA · 2008 to 2026
$28.9M
HIPC Data Coordinating CenterU01AI167892 · NIAID · LA JOLLA INSTITUTE FOR IMMUNOLOGY · PI Steven H. Kleinstein, Bjoern Peters · 2022 to 2026
$18.7M
The Human Lung BioMolecular Multi-Scale Atlas Program (HuBMAP-Lung)U54HL165443 · NHLBI · UNIVERSITY OF ROCHESTER · PI PRYHUBER, GLORIA S · 2022 to 2025
$8.0M
Kidney single cell and spatial molecular atlas project - KIDSSMAPU54DK134301 · NIDDK · WASHINGTON UNIVERSITY · PI ASHKAR, TAREK MAURICE, JAIN, SANJAY · 2022 to 2025
$7.8M
High-resolution High-speed Photoacoustic and Ultrasound Imaging of SmallVessel Functions in Ischemic StrokeR01NS111039 · NINDS · DUKE UNIVERSITY · PI YAO, JUNJIE · 2019 to 2023
$2.7M
Sugar Probed SRS Volumetric imaging of Metabolic ActivitiesR01GM149976 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Lingyan Shi · 2023 to 2026
$1.6M
Novel Optical Imaging Approach to Study Neurovascular Coupling SystemR21NS125395 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SHI, LINGYAN · 2022 to 2022
$435k
NCI NIH HHS U54 CA132378NHLBI NIH HHS U54 HL165443NIAID NIH HHS U01 AI167892NIDDK NIH HHS U54 DK134301NIGMS NIH HHS R01 GM149976NINDS NIH HHS R01 NS111039NINDS NIH HHS R21 NS125395
6 · The paper itself

Abstract

Nanoscale surface topography is an effective approach in modulating cell-material interactions, significantly impacting cellular and nuclear morphologies, as well as their functionality. However, the adaptive changes in cellular metabolism induced by the mechanical and geometrical microenvironment of the nanotopography remain poorly understood. In this study, we investigated the metabolic activities in cells cultured on engineered nanopillar substrates by using a label-free multimodal optical imaging platform. This multimodal imaging platform, integrating two photon fluorescence (TPF) and stimulated Raman scattering (SRS) microscopy, allowed us to directly visualize and quantify metabolic activities of cells in 3D at the subcellular scale. We discovered that the nanopillar structure significantly reduced the cell spreading area and circularity compared to flat surfaces. Nanopillar-induced mechanical cues significantly modulate cellular metabolic activities with variations in nanopillar geometry further influencing these metabolic processes. Cells cultured on nanopillars exhibited reduced oxidative stress, decreased protein and lipid synthesis, and lower lipid unsaturation in comparison to those on flat substrates. Hierarchical clustering also revealed that pitch differences in the nanopillar had a more significant impact on cell metabolic activity than diameter variations. These insights improve our understanding of how engineered nanotopographies can be used to control cellular metabolism, offering possibilities for designing advanced cell culture platforms which can modulate cell behaviors and mimic natural cellular environment and optimize cell-based applications. By leveraging the unique metabolic effects of nanopillar arrays, one can develop more effective strategies for directing the fate of cells, enhancing the performance of cell-based therapies, and creating regenerative medicine applications.

Identifiers

PMID39735831
PMCPMC11672213

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.