TY - JOUR
T1 - Detection of Pathological Markers of Neurodegenerative Diseases following Microfluidic Direct Conversion of Patient Fibroblasts into Neurons
AU - Mollinari, Cristiana
AU - De Dominicis, Chiara
AU - Lupacchini, Leonardo
AU - Sansone, Luigi
AU - Caprini, Davide
AU - Casciola, Carlo Massimo
AU - Wang, Ying
AU - Zhao, Jian
AU - Fini, Massimo
AU - Russo, Matteo
AU - Garaci, Enrico
AU - Merlo, Daniela
N1 - Funding Information:
Funding: This study was supported by “Bando Ricerca Indipendente ISS 2020–2022, project code: ISS20-4aeae96c8911” to Daniela Merlo and by the Ministry of Foreign Affairs and International Co-operation, Scientific and Technological Cooperation Agreement between Italy and China, Grant N. PGR00873 to Daniela Merlo.
Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2022/2/15
Y1 - 2022/2/15
N2 - Neurodegenerative diseases such as Alzheimer’s disease and Parkinson’s disease are clinically diagnosed using neuropsychological and cognitive tests, expensive neuroimaging-based approaches (MRI and PET) and invasive and time-consuming lumbar puncture for cerebrospinal fluid (CSF) sample collection to detect biomarkers. Thus, a rapid, simple and cost-effective approach to more easily access fluids and tissues is in great need. Here, we exploit the chemical direct reprogramming of patient skin fibroblasts into neurons (chemically induced neurons, ciNs) as a novel strategy for the rapid detection of different pathological markers of neurodegenerative diseases. We found that FAD fibroblasts have a reduced efficiency of reprogramming, and converted ciNs show a less complex neuronal network. In addition, ciNs from patients show misfolded protein accumu-lation and mitochondria ultrastructural abnormalities, biomarkers commonly associated with neu-rodegeneration. Moreover, for the first time, we show that microfluidic technology, in combination with chemical reprogramming, enables on-chip examination of disease pathological processes and may have important applications in diagnosis. In conclusion, ciNs on microfluidic devices represent a small-scale, non-invasive and cost-effective high-throughput tool for protein misfolding disease diagnosis and may be useful for new biomarker discovery, disease mechanism studies and design of personalised therapies.
AB - Neurodegenerative diseases such as Alzheimer’s disease and Parkinson’s disease are clinically diagnosed using neuropsychological and cognitive tests, expensive neuroimaging-based approaches (MRI and PET) and invasive and time-consuming lumbar puncture for cerebrospinal fluid (CSF) sample collection to detect biomarkers. Thus, a rapid, simple and cost-effective approach to more easily access fluids and tissues is in great need. Here, we exploit the chemical direct reprogramming of patient skin fibroblasts into neurons (chemically induced neurons, ciNs) as a novel strategy for the rapid detection of different pathological markers of neurodegenerative diseases. We found that FAD fibroblasts have a reduced efficiency of reprogramming, and converted ciNs show a less complex neuronal network. In addition, ciNs from patients show misfolded protein accumu-lation and mitochondria ultrastructural abnormalities, biomarkers commonly associated with neu-rodegeneration. Moreover, for the first time, we show that microfluidic technology, in combination with chemical reprogramming, enables on-chip examination of disease pathological processes and may have important applications in diagnosis. In conclusion, ciNs on microfluidic devices represent a small-scale, non-invasive and cost-effective high-throughput tool for protein misfolding disease diagnosis and may be useful for new biomarker discovery, disease mechanism studies and design of personalised therapies.
KW - Biomarkers
KW - Induced neurons
KW - Microfluidics
KW - Neurodegeneration
KW - Transdifferentiation
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U2 - 10.3390/ijms23042147
DO - 10.3390/ijms23042147
M3 - Article
C2 - 35216271
AN - SCOPUS:85124492154
SN - 1661-6596
VL - 23
JO - International Journal of Molecular Sciences
JF - International Journal of Molecular Sciences
IS - 4
M1 - 2147
ER -