Machine Learning-Assisted Sensor Array Based on Poly(amidoamine) (PAMAM) Dendrimers for Diagnosing Alzheimer’s Disease

Xu, Lian; Wang, Hao; Yu, Xu; Cui, Wenyu; Ni, Weiwei; Chen, Mingqi; Huang, Hui; Stewart, C. N.; Li, Linxian; Li, Fei; Han, Jinsong

doi:10.1021/acssensors.2c00132

Cited by 22 publications

(13 citation statements)

References 44 publications

(72 reference statements)

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“…3D printing technology involves manufacturing of custom models applicable in the nanomedicine field to check in vitro capability of cells to grow on substrates, such as CNTs BP, further coating onto poly-amidoamine dendrimers (PAMAM, G5) imparts higher aqueous solubility, cell adhesion, and explores additional functions such as microRNAs transfection. [96] Artificial intelligence utilized in development of biosensor array with 100% accuracy composed of three modified polyamidoamine dendrimers aid in detection of proteins, multiple Aβ40/Aβ42 aggregates and CSF components via machine learning algorithms indicating the potential neurodegenerative disease diagnosis (Alzheimer's and parkinsonism). [97] Green synthesis is another aspect particularly carried out using microorganisms and plant extracts [97] like synthesis of D-Sorbitol-cored PAMAM dendrimer (SOR-G1) in presence of ethanol/water system by polymerization of epichlorohydrin giving high yield and good thermal stability.…”

Section: Current and Futuristic Trend In Hybrid Dendrimers Technologymentioning

confidence: 99%

Integration of Hybrid Dendrimers and Their Generations for Modulated Spatio‐Temporal Action

Kharangate

Shende

2023

Part & Part Syst Charact

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Hybrid dendrimers constitute a unique class of well-defined complex architecture featured with a central domain and bifurcated branches with two different dendritic sequences for their atomic configuration and functional groups at the periphery. This review article pioneers the field of new hybrid dendrimers using different generations by nanoconjugation with metals, carbohydrates, nucleotides, proteins/peptides, carbosilane, urea, silica, stem cells, guanidine, etc. The smart dendrimers contain desirable electrical, magnetic, optical, and biological attributes to increase surface area, monodisperse behavior, dose reduction, dissolution, permeability, longterm stability, and significant decrement in nanotoxicity studies. The higher encapsulation of lipid soluble and insoluble moieties explores an excellent platform for the delivery of drugs (ibuprofen, indomethacin, etc.), nucleic acids (oligonucleotide, siRNA, and aptamer), genetic materials , and chemical diagnostic agents (gadolinium chelates and superparamagnetic iron oxide particles) for imaging. Owing to their flexibility in structural adaptability, different health conditions like glaucoma, inflammation, microbial infection, neurodegenerative problems (Alzheimer's disease and Parkinsonism), and cancer are benefited using such long-lasting drug delivery. Advancements in molecular engineering techniques, 3D printing, artificial intelligence, robotic, green synthesis, and microwave-assisted methods aid in the development of economically reliable and personalized pharmaceutical hybrid dendritic systems resembling antibodies, globular proteins, stem cells, enzymes, and genetic materials.

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Section: Current and Futuristic Trend In Hybrid Dendrimers Technologymentioning

confidence: 99%

Integration of Hybrid Dendrimers and Their Generations for Modulated Spatio‐Temporal Action

Kharangate

Shende

2023

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“…Similarly, we 9−12 previously developed two hypothesis-free fluorescent sensor array systems in conjunction with the optimization of multiple machine learning algorithms to accurately identify various Aβ aggregates at concentrations of 5 μM and 500 nM. 13 However, detecting Aβ aggregates at low concentrations through differential sensing approaches remains challenging. Enzymatic reactions have been used to detect low levels of biomolecules as they can convert a weak analyte signal into a strong substrate signal and enhance detection sensitivity through signal amplification.…”

Section: Introductionmentioning

confidence: 99%

“…However, the analyte concentrations (30 μM) required for discrimination were still too high, and the sensing elements synthesis was relatively complex. Similarly, we − previously developed two hypothesis-free fluorescent sensor array systems in conjunction with the optimization of multiple machine learning algorithms to accurately identify various Aβ aggregates at concentrations of 5 μM and 500 nM. , However, detecting Aβ aggregates at low concentrations through differential sensing approaches remains challenging.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning-Assisted Nanoenzyme/Bioenzyme Dual-Coupled Array for Rapid Detection of Amyloids

Cheng

et al. 2023

Anal. Chem.

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Array-based sensing methods offer significant advantages in the simultaneous detection of multiple amyloid biomarkers and thus have great potential for diagnosing early-stage Alzheimer's disease. Yet, detecting low concentrations of amyloids remains exceptionally challenging. Here, we have developed a fluorescent sensor array based on the dual coupling of a nanoenzyme (AuNPs) and bioenzyme (horseradish peroxidase) to detect amyloids. Various ss-DNAs were bound to the nanoenzyme for regulating enzymatic activity and recognizing amyloids. A simplified sensor array was generated from a screening model via machine learning algorithms and achieved signal amplification through a two-step enzymatic reaction. As a result, our sensing system could discriminate the aggregation species and aggregation kinetics at 200 nM with 100% accuracy. Moreover, AD model mice and healthy mice were distinguished with 100% accuracy through the sensor array, providing a powerful sensing platform for diagnosing AD.

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“…For AD patients, early diagnosis and monitoring are of great significance. As one of the most vital biomarkers in the diagnosis of AD, amyloid- β (A β ) proteins containing 39–43 amino acid residues exhibit differential aggregation tendencies, with varying aggregation states showing diverse neurotoxicity [ 2 , 3 , 4 ]. Among them, A β 40 and A β 42 are typical species with minor differences that reflected on extra isoleucine and an alanine at its C-terminus of A β 42 sequence.…”

Section: Introductionmentioning

confidence: 99%

A Multichannel Fluorescent Tongue for Amyloid-β Aggregates Detection

Zhou

Gao

et al. 2022

IJMS

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Attention has been paid to the early diagnosis of Alzheimer’s disease, due to the maximum benefit acquired from the early-stage intervention and treatment. However, the sensing techniques primarily depended upon for neuroimaging and immunological assays for the detection of AD biomarkers are expensive, time-consuming and instrument dependent. Here, we developed a multichannel fluorescent tongue consisting of four fluorescent dyes and GO through electrostatic and π–π interaction. The array distinguished multiple aggregation states of 1 µM Aβ40/Aβ42 with 100% prediction accuracy via 10-channel signal outputs, illustrating the rationality of the array design. Screening vital sensor elements for the simplified sensor array and the optimization of sensing system was achieved by machine learning algorithms. Moreover, our sensing tongue was able to detect the aggregation states of Aβ40/Aβ42 in serum, demonstrating the great potential of multichannel array in diagnosing the Alzheimer’s diseases.

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Machine Learning-Assisted Sensor Array Based on Poly(amidoamine) (PAMAM) Dendrimers for Diagnosing Alzheimer’s Disease

Cited by 22 publications

References 44 publications

Integration of Hybrid Dendrimers and Their Generations for Modulated Spatio‐Temporal Action

Integration of Hybrid Dendrimers and Their Generations for Modulated Spatio‐Temporal Action

Machine Learning-Assisted Nanoenzyme/Bioenzyme Dual-Coupled Array for Rapid Detection of Amyloids

A Multichannel Fluorescent Tongue for Amyloid-β Aggregates Detection

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