1
|
Zheng P, Raj P, Liang L, Wu L, Paidi SK, Kim JH, Barman I. Label-free plasmonic spectral profiling of serum DNA. Biosens Bioelectron 2024; 254:116199. [PMID: 38492362 PMCID: PMC11056035 DOI: 10.1016/j.bios.2024.116199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 03/07/2024] [Accepted: 03/07/2024] [Indexed: 03/18/2024]
Abstract
Genetic and epigenetic modifications are linked to the activation of oncogenes and inactivation of tumor suppressor genes. Likewise, the associated molecular alternations can best inform precision medicine for personalized tumor treatment. Therefore, performing characterization of genetic and epigenetic alternations at the molecular level represents a crucial step in early diagnosis and/or therapeutics of cancer. However, the prevailing methods for DNA analysis involve a series of tedious and complicated steps, in which important genetic and epigenetic information could be lost or altered. To provide a potential approach for non-invasive, direct, and efficient DNA analysis, herein, we present a promising strategy for label-free molecular profiling of serum DNA in its pristine form by fusing surface-enhanced Raman spectroscopy with machine learning on a superior plasmonic nanostructured platform. Using DNA methylation and single-point mutation as two case studies, the presented strategy allows a well-balanced sensitive and specific detection of epigenetic and genetic changes at the single-nucleotide level in serum. We envision the presented label-free strategy could serve as a versatile tool for direct molecular profiling in pristine forms of a wide range of biological markers and aid biomedical diagnostics as well as therapeutics.
Collapse
Affiliation(s)
- Peng Zheng
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, United States
| | - Piyush Raj
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, United States
| | - Le Liang
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, United States; The Institute for Advanced Studies, Wuhan University, Wuhan, 430072, China; Department of Ophthalmology, Zhongnan Hospital of Wuhan University, Wuhan University, Wuhan, 430071, China
| | - Lintong Wu
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, United States
| | - Santosh Kumar Paidi
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, United States
| | - Jeong Hee Kim
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, United States
| | - Ishan Barman
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD, 21218, United States; Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, United States; The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, United States.
| |
Collapse
|
2
|
Zheng P, Raj P, Wu L, Mizutani T, Szabo M, Hanson WA, Barman I. Quantitative Detection of Thyroid-Stimulating Hormone in Patient Samples with a Nanomechanical Single-Antibody Spectro-Immunoassay. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024; 20:e2305110. [PMID: 37752776 PMCID: PMC10922205 DOI: 10.1002/smll.202305110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 09/12/2023] [Indexed: 09/28/2023]
Abstract
Functional disorders of the thyroid remain a global challenge and have profound impacts on human health. Serving as the barometer for thyroid function, thyroid-stimulating hormone (TSH) is considered the single most useful test of thyroid function. However, the prevailing TSH immunoassays rely on two types of antibodies in a sandwich format. The requirement of repeated incubation and washing further complicates the issue, making it unable to meet the requirements of the shifting public health landscape that demands rapid, sensitive, and low-cost TSH tests. Herein, a systematic study is performed to investigate the clinical translational potential of a single antibody-based biosensing platform for the TSH test. The biosensing platform leverages Raman spectral variations induced by the interaction between a TSH antigen and a Raman molecule-conjugated TSH antibody. In conjunction with machine learning, it allows TSH concentrations in various patient samples to be predicted with high accuracy and precision, which is robust against substrate-to-substrate, intra-substrate, and day-to-day variations. It is envisioned that the simplicity and generalizability of this single-antibody immunoassay coupled with the demonstrated performance in patient samples pave the way for it to be widely applied in clinical settings for low-cost detection of hormones, other molecular biomarkers, DNA, RNA, and pathogens.
Collapse
Affiliation(s)
- Peng Zheng
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, United States
| | - Piyush Raj
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, United States
| | - Lintong Wu
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, United States
| | - Takayuki Mizutani
- Beckman Coulter Diagnostics – Immunoassay Business Unit, 1000 Lake Hazeltine Dr, Chaska, MN 55318
| | - Miklos Szabo
- Beckman Coulter Diagnostics – Immunoassay Business Unit, 1000 Lake Hazeltine Dr, Chaska, MN 55318
| | - William A. Hanson
- Beckman Coulter Diagnostics – Immunoassay Business Unit, 1000 Lake Hazeltine Dr, Chaska, MN 55318
| | - Ishan Barman
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, United States
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, United States
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD 21287, United States
| |
Collapse
|
3
|
Bian X, Shi Z, Shao Y, Chu Y, Tan X. Variational Mode Decomposition for Raman Spectral Denoising. Molecules 2023; 28:6406. [PMID: 37687235 PMCID: PMC10490040 DOI: 10.3390/molecules28176406] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 08/30/2023] [Accepted: 08/30/2023] [Indexed: 09/10/2023] Open
Abstract
As a fast and non-destructive spectroscopic analysis technique, Raman spectroscopy has been widely applied in chemistry. However, noise is usually unavoidable in Raman spectra. Hence, denoising is an important step before Raman spectral analysis. A novel spectral denoising method based on variational mode decomposition (VMD) was introduced to solve the above problem. The spectrum is decomposed into a series of modes (uk) by VMD. Then, the high-frequency noise modes are removed and the remaining modes are reconstructed to obtain the denoised spectrum. The proposed method was verified by two artificial noised signals and two Raman spectra of inorganic materials, i.e., MnCo ISAs/CN and Fe-NCNT. For comparison, empirical mode decomposition (EMD), Savitzky-Golay (SG) smoothing, and discrete wavelet transformation (DWT) are also investigated. At the same time, signal-to-noise ratio (SNR) was introduced as evaluation indicators to verify the performance of the proposed method. The results show that compared with EMD, VMD can significantly improve mode mixing and the endpoint effect. Moreover, the Raman spectrum by VMD denoising is more excellent than that of EMD, SG smoothing and DWT in terms of visualization and SNR. For the small sharp peaks, some information is lost after denoising by EMD, SG smoothing, DWT and VMD while VMD loses fewest information. Therefore, VMD may be an alternative method for Raman spectral denoising.
Collapse
Affiliation(s)
- Xihui Bian
- State Key Laboratory of Separation Membranes and Membrane Processes, School of Chemical Engineering and Technology, Tiangong University, Tianjin 300387, China
- NMPA Key Laboratory for Technology Research and Evaluation of Drug Products, Shandong University, Jinan 250012, China
| | - Zitong Shi
- State Key Laboratory of Separation Membranes and Membrane Processes, School of Chemical Engineering and Technology, Tiangong University, Tianjin 300387, China
| | - Yingjie Shao
- State Key Laboratory of Separation Membranes and Membrane Processes, School of Chemical Engineering and Technology, Tiangong University, Tianjin 300387, China
| | - Yuanyuan Chu
- State Key Laboratory of Separation Membranes and Membrane Processes, School of Chemical Engineering and Technology, Tiangong University, Tianjin 300387, China
| | - Xiaoyao Tan
- State Key Laboratory of Separation Membranes and Membrane Processes, School of Chemical Engineering and Technology, Tiangong University, Tianjin 300387, China
| |
Collapse
|
4
|
Xu X, Ma M, Sun T, Zhao X, Zhang L. Luminescent Guests Encapsulated in Metal-Organic Frameworks for Portable Fluorescence Sensor and Visual Detection Applications: A Review. BIOSENSORS 2023; 13:bios13040435. [PMID: 37185510 PMCID: PMC10136468 DOI: 10.3390/bios13040435] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 03/23/2023] [Accepted: 03/27/2023] [Indexed: 05/17/2023]
Abstract
Metal-organic frameworks (MOFs) have excellent applicability in several fields and have significant structural advantages, due to their open pore structure, high porosity, large specific surface area, and easily modifiable and functionalized porous surface. In addition, a variety of luminescent guest (LG) species can be encapsulated in the pores of MOFs, giving MOFs a broader luminescent capability. The applications of a variety of LG@MOF sensors, constructed by doping MOFs with LGs such as lanthanide ions, carbon quantum dots, luminescent complexes, organic dyes, and metal nanoclusters, for fluorescence detection of various target analyses such as ions, biomarkers, pesticides, and preservatives are systematically introduced in this review. The development of these sensors for portable visual fluorescence sensing applications is then covered. Finally, the challenges that these sectors currently face, as well as the potential for future growth, are briefly discussed.
Collapse
Affiliation(s)
- Xu Xu
- College of Chemistry, Liaoning University, No. 66 Chongshan Middle Road, Shenyang 110036, China
| | - Muyao Ma
- College of Chemistry, Liaoning University, No. 66 Chongshan Middle Road, Shenyang 110036, China
| | - Tongxin Sun
- College of Chemistry, Liaoning University, No. 66 Chongshan Middle Road, Shenyang 110036, China
| | - Xin Zhao
- Ecology and Environmental Monitoring Center of Jilin Province, Changchun 130011, China
| | - Lei Zhang
- College of Chemistry, Liaoning University, No. 66 Chongshan Middle Road, Shenyang 110036, China
| |
Collapse
|