Posted in | News | Nanotoxicology

Style Over Substance: Nanofiber Morphology Drives Lung Toxicity

A new study reveals that the shape, not just the substance, of nanofibers plays a key role in lung toxicity. The research uncovers protein-level clues that could help design safer, smarter nanomaterials.

A doctor examines an older woman, using a stethoscope to monitor her breathing.

Image Credit: Sarawut Kh/Shutterstock.com 

A new paper in Nano Today provides information on a critical but often overlooked factor in nanomaterial safety: morphology. Researchers have shown that the shape and size of nanofibers (NFs), specifically their length, diameter, and rigidity, can dramatically influence how lung cells respond to exposure. The team identified molecular markers using advanced proteomic profiling of rat alveolar macrophages, which may one day help predict the toxicity of different fiber types.

This study shifts the conversation of nanotoxicology from chemical composition to structure, showing how fiber shape alone can drive inflammation and cell damage. These findings could be a step towards designing safer nanomaterials and reducing reliance on animal testing.

Nanofiber Morphology

Nanofibers are increasingly used in energy storage, water purification, medicine, and more, thanks to their high surface area and tailored physical properties. But their thin, elongated structure can cause problems, particularly when inhaled. The World Health Organization defines “critical fibers” as those thinner than three microns, longer than five microns, and with aspect ratios over 3:1, dimensions closely associated with diseases like lung fibrosis and mesothelioma.

The Fiber Pathogenicity Paradigm links fiber durability and shape to toxicity, but a major variable factor, rigidity, has often been ignored. This rigidity is a problem when macrophages in the lungs encounter long, stiff fibers; they can't fully engulf them. This failed immune response, known as frustrated phagocytosis, leads to persistent inflammation. The new study dives deep into this cellular battleground, aiming to develop tools for toxicity prediction without animal testing.

Disentangling Shape From Substance

To explore how morphology alone affects toxicity, the researchers tested silicon carbide (SiC) and titanium dioxide (TiO2) in both their intact and mechanically ground forms. These two widely used nanofibers were ground to shorten them and change their aspect ratios, helping to isolate the effects of shape from chemical composition.

They exposed rat alveolar macrophage cells (NR8383) to each type and used a combination of cellular assays and liquid chromatography-tandem mass spectrometry (LC-MS/MS) to track responses. The assays measured key indicators of cell stress: lactate dehydrogenase (cell membrane damage), hydrogen peroxide (oxidative stress), β-glucuronidase (lysosomal leakage), and TNF-α (inflammation).

Scanning electron microscopy confirmed that intact SiC fibers averaged 9.5 microns in length and 156 nanometers in diameter, while TiO2 fibers were shorter and thinner. Grinding dramatically reduced fiber length, allowing full internalization by cells and fewer toxic effects.

Download your PDF copy now!

Proteomics Reveal a Toxic Fingerprint

Morphology had a direct impact on toxicology. Intact nanofibers led to membrane piercing, frustrated phagocytosis, and elevated inflammatory signals. Ground fibers, in contrast, were more easily internalized and caused minimal disruption, even at higher concentrations.

Proteomic analysis showed that exposure to intact SiC fibers altered the abundance of over 1,000 proteins after 18 hours. Ground SiC fibers only affected 10. Intact TiO2 fibers altered 266 proteins; their ground counterparts altered five. Principal component analysis clustered ground samples together, further confirming morphology as the dominant factor.

Several inflammation-related proteins, like arginase-1 and interleukin-1 receptor antagonist, were demonstrably upregulated in response to intact fibers. Methionine sulfoxide, a marker of oxidative stress, was elevated particularly in SiC-treated cells. Meanwhile, lysosomal proteins were found in the surrounding medium rather than inside the cells, confirming lysosomal rupture. Markers of necrosis were more prominent than those for programmed cell death.

A Universal Fingerprint for Nanotoxicity

Based on these results, the team proposed a panel of 58 proteins as a morphology-driven toxicity fingerprint. This set covers pathways related to inflammation, lysosomal integrity, metabolism, and cell death. Crucially, the fingerprint appears to be material-independent, meaning it could be used to predict toxicity across different types of nanofibers.

The implications are significant. Rather than relying solely on animal testing, researchers could use in vitro assays backed by this proteomic fingerprint to screen nanomaterials early in the design process. This approach supports the 3R principle (Replacement, Reduction, Refinement) in toxicology and aligns with growing regulatory and industry interest in alternative testing methods.

Toward Safer Nanotechnology

This research offers a new perspective on nanofiber safety. As nanofibers become more common in consumer goods, industrial applications, and even healthcare, understanding their biological interactions is more urgent than ever.

By focusing on molecular-level responses, the study clarifies the mechanisms behind nanofiber toxicity and points the way toward safer material engineering and smarter regulatory frameworks.

The team calls for further validation of their protein fingerprint in primary human cells and in studies mimicking long-term exposure. Expanding the method across various nanomaterials and biological models will help refine its predictive power.

Journal Reference

Stobernack, T., et al. (2025). Predicting the morphology-driven pathogenicity of nanofibers through proteomic profiling. nanotoday, 102812 (65). DOI: 10.1016/j.nantod.2025.102812, https://www.sciencedirect.com/science/article/pii/S1748013225001847

Disclaimer: The views expressed here are those of the author expressed in their private capacity and do not necessarily represent the views of AZoM.com Limited T/A AZoNetwork the owner and operator of this website. This disclaimer forms part of the Terms and conditions of use of this website.

Muhammad Osama

Written by

Muhammad Osama

Muhammad Osama is a full-time data analytics consultant and freelance technical writer based in Delhi, India. He specializes in transforming complex technical concepts into accessible content. He has a Bachelor of Technology in Mechanical Engineering with specialization in AI & Robotics from Galgotias University, India, and he has extensive experience in technical content writing, data science and analytics, and artificial intelligence.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Osama, Muhammad. (2025, August 18). Style Over Substance: Nanofiber Morphology Drives Lung Toxicity. AZoNano. Retrieved on August 18, 2025 from https://www.azonano.com/news.aspx?newsID=41495.

  • MLA

    Osama, Muhammad. "Style Over Substance: Nanofiber Morphology Drives Lung Toxicity". AZoNano. 18 August 2025. <https://www.azonano.com/news.aspx?newsID=41495>.

  • Chicago

    Osama, Muhammad. "Style Over Substance: Nanofiber Morphology Drives Lung Toxicity". AZoNano. https://www.azonano.com/news.aspx?newsID=41495. (accessed August 18, 2025).

  • Harvard

    Osama, Muhammad. 2025. Style Over Substance: Nanofiber Morphology Drives Lung Toxicity. AZoNano, viewed 18 August 2025, https://www.azonano.com/news.aspx?newsID=41495.

Tell Us What You Think

Do you have a review, update or anything you would like to add to this news story?

Leave your feedback
Your comment type
Submit

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.