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Ramachandran L, Abul Rub F, Hajja A, Alodhaibi I, Arai M, Alfuwais M, Makhzoum T, Yaqinuddin A, Al-Kattan K, Assiri AM, Broering DC, Chinnappan R, Mir TA, Mani NK. Biosensing of Alpha-Fetoprotein: A Key Direction toward the Early Detection and Management of Hepatocellular Carcinoma. BIOSENSORS 2024; 14:235. [PMID: 38785709 PMCID: PMC11117836 DOI: 10.3390/bios14050235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 04/16/2024] [Accepted: 04/25/2024] [Indexed: 05/25/2024]
Abstract
Hepatocellular carcinoma (HCC) is currently one of the most prevalent cancers worldwide. Associated risk factors include, but are not limited to, cirrhosis and underlying liver diseases, including chronic hepatitis B or C infections, excessive alcohol consumption, nonalcoholic fatty liver disease (NAFLD), and exposure to chemical carcinogens. It is crucial to detect this disease early on before it metastasizes to adjoining parts of the body, worsening the prognosis. Serum biomarkers have proven to be a more accurate diagnostic tool compared to imaging. Among various markers such as nucleic acids, circulating genetic material, proteins, enzymes, and other metabolites, alpha-fetoprotein (AFP) is a protein marker primarily used to diagnose HCC. However, current methods need a large sample and carry a high cost, among other challenges, which can be improved using biosensing technology. Early and accurate detection of AFP can prevent severe progression of the disease and ensure better management of HCC patients. This review sheds light on HCC development in the human body. Afterward, we outline various types of biosensors (optical, electrochemical, and mass-based), as well as the most relevant studies of biosensing modalities for non-invasive monitoring of AFP. The review also explains these sensing platforms, detection substrates, surface modification agents, and fluorescent probes used to develop such biosensors. Finally, the challenges and future trends in routine clinical analysis are discussed to motivate further developments.
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Affiliation(s)
- Lohit Ramachandran
- Microfluidics, Sensors and Diagnostics (μSenD) Laboratory, Centre for Microfluidics, Biomarkers, Photoceutics and Sensors (μBioPS), Department of Biotechnology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, India;
| | - Farah Abul Rub
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia; (F.A.R.); (A.H.); (I.A.); (M.A.); (M.A.); (T.M.); (A.Y.); (K.A.-K.); (A.M.A.); (D.C.B.)
| | - Amro Hajja
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia; (F.A.R.); (A.H.); (I.A.); (M.A.); (M.A.); (T.M.); (A.Y.); (K.A.-K.); (A.M.A.); (D.C.B.)
| | - Ibrahim Alodhaibi
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia; (F.A.R.); (A.H.); (I.A.); (M.A.); (M.A.); (T.M.); (A.Y.); (K.A.-K.); (A.M.A.); (D.C.B.)
| | - Momo Arai
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia; (F.A.R.); (A.H.); (I.A.); (M.A.); (M.A.); (T.M.); (A.Y.); (K.A.-K.); (A.M.A.); (D.C.B.)
| | - Mohammed Alfuwais
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia; (F.A.R.); (A.H.); (I.A.); (M.A.); (M.A.); (T.M.); (A.Y.); (K.A.-K.); (A.M.A.); (D.C.B.)
| | - Tariq Makhzoum
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia; (F.A.R.); (A.H.); (I.A.); (M.A.); (M.A.); (T.M.); (A.Y.); (K.A.-K.); (A.M.A.); (D.C.B.)
| | - Ahmed Yaqinuddin
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia; (F.A.R.); (A.H.); (I.A.); (M.A.); (M.A.); (T.M.); (A.Y.); (K.A.-K.); (A.M.A.); (D.C.B.)
| | - Khaled Al-Kattan
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia; (F.A.R.); (A.H.); (I.A.); (M.A.); (M.A.); (T.M.); (A.Y.); (K.A.-K.); (A.M.A.); (D.C.B.)
- Lung Health Center Department, Organ Transplant Centre of Excellence, King Faisal Specialist Hospital and Research Centre, Riyadh 11211, Saudi Arabia
| | - Abdullah M. Assiri
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia; (F.A.R.); (A.H.); (I.A.); (M.A.); (M.A.); (T.M.); (A.Y.); (K.A.-K.); (A.M.A.); (D.C.B.)
- Tissue/Organ Bioengineering & BioMEMS Laboratory, Organ Transplant Centre of Excellence (TR&I-Dpt), King Faisal Specialist Hospital and Research Centre, Riyadh 11211, Saudi Arabia
| | - Dieter C. Broering
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia; (F.A.R.); (A.H.); (I.A.); (M.A.); (M.A.); (T.M.); (A.Y.); (K.A.-K.); (A.M.A.); (D.C.B.)
- Tissue/Organ Bioengineering & BioMEMS Laboratory, Organ Transplant Centre of Excellence (TR&I-Dpt), King Faisal Specialist Hospital and Research Centre, Riyadh 11211, Saudi Arabia
| | - Raja Chinnappan
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia; (F.A.R.); (A.H.); (I.A.); (M.A.); (M.A.); (T.M.); (A.Y.); (K.A.-K.); (A.M.A.); (D.C.B.)
- Tissue/Organ Bioengineering & BioMEMS Laboratory, Organ Transplant Centre of Excellence (TR&I-Dpt), King Faisal Specialist Hospital and Research Centre, Riyadh 11211, Saudi Arabia
| | - Tanveer Ahmad Mir
- College of Medicine, Alfaisal University, Riyadh 11533, Saudi Arabia; (F.A.R.); (A.H.); (I.A.); (M.A.); (M.A.); (T.M.); (A.Y.); (K.A.-K.); (A.M.A.); (D.C.B.)
- Tissue/Organ Bioengineering & BioMEMS Laboratory, Organ Transplant Centre of Excellence (TR&I-Dpt), King Faisal Specialist Hospital and Research Centre, Riyadh 11211, Saudi Arabia
| | - Naresh Kumar Mani
- Microfluidics, Sensors and Diagnostics (μSenD) Laboratory, Centre for Microfluidics, Biomarkers, Photoceutics and Sensors (μBioPS), Department of Biotechnology, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, India;
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Liu Y, Han G, Gong J, Hua X, Zhu Q, Zhou S, Jiang L, Li Q, Liu S. Intramolecular fluorescence resonance energy transfer strategy for accurate detection of AFP-L3% and improved diagnosis of hepatocellular carcinoma. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 300:122950. [PMID: 37295202 DOI: 10.1016/j.saa.2023.122950] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 05/17/2023] [Accepted: 05/27/2023] [Indexed: 06/12/2023]
Abstract
Early and accurate diagnosis of hepatocellular carcinoma (HCC) is of significant importance for improving the survival rate and quality of life for HCC patients. The combined detection of alpha-fetoprotein (AFP) and alpha-fetoprotein-L3 (AFP-L3), namely AFP-L3%, can greatly improve the accuracy of HCC diagnosis compared with AFP detection. Herein, we developed a novel intramolecular fluorescence resonance energy transfer (FRET) strategy for sequential detection of AFP and AFP-specific core fucose to improve the diagnosis accuracy of HCC. Firstly, fluorescence-labeled AFP aptamer (AFP Apt-FAM) was used to specifically recognize all AFP isoforms, and total AFP was quantitatively determined using fluorescence intensity of FAM. Then, 4-((4-(dimethylamino)phenyl)azo)benzoic acid (Dabcyl) labeled lectins (PhoSL-Dabcyl) were used to specifically recognize the core fucose expressed on AFP-L3 that does not bind to other AFP isoforms. The combination of FAM and Dabcyl on the same AFP molecule could generate FRET effect, thereby quenching the fluorescence signal of FAM and quantitatively determining AFP-L3. After that, AFP-L3% was calculated according to the ratio of AFP-L3 to AFP. With this strategy, the concentration of total AFP, AFP-L3 isoform as well as the AFP-L3% were sensitively detected. Detection limits of 0.66 and 0.186 ng/mL were obtained for AFP and AFP-L3 in human serum, respectively. Clinical human serum test results showed that AFP- L3 % test was more accurate than AFP assay to distinguish healthy people, HCC patients and benign liver disease patients. Therefore, the proposed strategy is simple, sensitive and selective, which can improve the accuracy of early diagnosis of HCC, and has good clinical application potential.
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Affiliation(s)
- Yu Liu
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, Sichuan 610068, China
| | - Gaohua Han
- Taizhou People's Hospital Affiliated to Nanjing Medical University, Taizhou 225300, China
| | - Jing Gong
- Collaborative Innovation Center of Tumor Marker Detection Technology, Equipment and Diagnosis Therapy Integration in Universities of Shandong, Shandong Provincial Key Laboratory of Detection Technology for Tumor Markers, College of Chemistry and Chemical Engineering, Linyi University, Linyi 276005, China
| | - Xin Hua
- Jiangsu Engineering Laboratory of Smart Carbon-Rich Materials and Device, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Key Laboratory of Environmental Medicine Engineering, Ministry of Education, State Key Laboratory of Bioelectronics, School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China.
| | - Qian Zhu
- Jiangsu Engineering Laboratory of Smart Carbon-Rich Materials and Device, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Key Laboratory of Environmental Medicine Engineering, Ministry of Education, State Key Laboratory of Bioelectronics, School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China
| | - Sisi Zhou
- Jiangsu Engineering Laboratory of Smart Carbon-Rich Materials and Device, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Key Laboratory of Environmental Medicine Engineering, Ministry of Education, State Key Laboratory of Bioelectronics, School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China
| | - Ling Jiang
- Collaborative Innovation Center of Tumor Marker Detection Technology, Equipment and Diagnosis Therapy Integration in Universities of Shandong, Shandong Provincial Key Laboratory of Detection Technology for Tumor Markers, College of Chemistry and Chemical Engineering, Linyi University, Linyi 276005, China
| | - Quan Li
- College of Chemistry and Materials Science, Sichuan Normal University, Chengdu, Sichuan 610068, China.
| | - Songqin Liu
- Jiangsu Engineering Laboratory of Smart Carbon-Rich Materials and Device, Jiangsu Provincial Key Laboratory of Critical Care Medicine, Key Laboratory of Environmental Medicine Engineering, Ministry of Education, State Key Laboratory of Bioelectronics, School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China
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Qian Y, Gu Y, Deng J, Cai Z, Wang Y, Zhou R, Zhu D, Lu H, Wang Z. Combined SERS Microfluidic Chip with Gold Nanocone Array for Effective Early Lung Cancer Prognosis in Mice Model. Int J Nanomedicine 2023; 18:3429-3442. [PMID: 37383221 PMCID: PMC10295598 DOI: 10.2147/ijn.s411395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 06/19/2023] [Indexed: 06/30/2023] Open
Abstract
Introduction As the most common malignant tumor in the world, the prognosis of patients with advanced lung cancer remains poor even after treatment. There are many prognostic marker assays available, but there is still more room for the development of high-throughput and sensitive detection of circulating tumor DNA (ctDNA). Surface-enhanced Raman spectroscopy (SERS), a spectroscopic detection method that has received wide attention in recent years, can achieve exponential amplification of Raman signals by using different metallic nanomaterials. Integrating SERS with signal amplification strategy into the microfluidic chip and applying it to ctDNA detection is expected to be an effective tool for the prognosis of lung cancer treatment effect in the future. Methods To construct a high-throughput SERS microfluidic chip integrated with enzyme-assisted signal amplification (EASA) and catalytic hairpin self-assembly (CHA) signal amplification strategies, using hpDNA-functionalized Au nanocone arrays (AuNCAs) as capture substrates and cisplatin-treated lung cancer mice to simulate the detection environment for sensitive detection of ctDNA in serum of lung cancer patients after treatment. Results The SERS microfluidic chip constructed by this scheme, with two reaction zones, can simultaneously and sensitively detect the concentrations of four prognostic ctDNAs in the serum of three lung cancer patients with a limit of detection (LOD) as low as the aM level. The results of the ELISA assay are consistent with this scheme, and its accuracy is guaranteed. Conclusion This high-throughput SERS microfluidic chip has high sensitivity and specificity in the detection of ctDNA. This could be a potential tool for prognostic assessment of lung cancer treatment efficacy in future clinical applications.
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Affiliation(s)
- Yayun Qian
- Department of Pathology, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, People’s Republic of China
| | - Yuexing Gu
- Institute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, People’s Republic of China
| | - Jialin Deng
- Jiangsu Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Treatment of Senile Diseases, Yangzhou University, Yangzhou, People’s Republic of China
| | - Zhaoying Cai
- Jiangsu Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Treatment of Senile Diseases, Yangzhou University, Yangzhou, People’s Republic of China
| | - Yang Wang
- Jiangsu Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Treatment of Senile Diseases, Yangzhou University, Yangzhou, People’s Republic of China
| | - Ruoyu Zhou
- Jiangsu Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Treatment of Senile Diseases, Yangzhou University, Yangzhou, People’s Republic of China
| | - Dongxu Zhu
- Jiangsu Key Laboratory of Integrated Traditional Chinese and Western Medicine for Prevention and Treatment of Senile Diseases, Yangzhou University, Yangzhou, People’s Republic of China
| | - Hongmei Lu
- Department of Pathology, Yangzhou Maternal and Child Health Hospital, Yangzhou, People’s Republic of China
| | - Zheng Wang
- Department of Pathology, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, People’s Republic of China
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Yan X, Zhao H, Song H, Ma J, Shi X. Ultra-trace and quantitative SERS detection of polycyclic aromatic hydrocarbons based on Au nanoscale convex polyhedrons with embedded probe molecules. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 281:121566. [PMID: 35841855 DOI: 10.1016/j.saa.2022.121566] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Revised: 06/22/2022] [Accepted: 06/25/2022] [Indexed: 06/15/2023]
Abstract
Surface-enhanced Raman scattering (SERS) has great potential for the detection of marine pollutants, but it is still restricted in ultra-trace and quantitative analysis. Here, a strategy for the detection of polycyclic aromatic hydrocarbons (PAHs) was proposed based on Au nanoscale convex polyhedrons (Au NCPs) coated with high-energy facets and embedded with 4-ATP as a probe molecule. Au NCPs acted as SERS substrates and led to limits of detection (LODs) for six common PAHs that reached 0.01 nM. Using internal calibration, the relative standard deviations (RSD) of the spectral stability and reproducibility were as low as 3.36% and 5.11%, respectively. The maximum mean relative errors (AREs) of the predicted and true values were 6.28%. The results indicate that the resulting Au NCPs improved the ultra-trace and quantitative detection of SERS, thus suggesting that the Au NCPs have practical application value in SERS.
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Affiliation(s)
- Xia Yan
- Optics and Optoelectronics Laboratory, Ocean University of China, Qingdao 266100, China
| | - Hang Zhao
- Optics and Optoelectronics Laboratory, Ocean University of China, Qingdao 266100, China.
| | - Hongyan Song
- Optics and Optoelectronics Laboratory, Ocean University of China, Qingdao 266100, China
| | - Jun Ma
- Optics and Optoelectronics Laboratory, Ocean University of China, Qingdao 266100, China.
| | - Xiaofeng Shi
- Optics and Optoelectronics Laboratory, Ocean University of China, Qingdao 266100, China
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Ni J, Huang M, Ji W, Wang L, Sun T. Recent advances in Surface-enhanced Raman Scattering for Liver Cancer Detection. CHINESE JOURNAL OF ANALYTICAL CHEMISTRY 2022. [DOI: 10.1016/j.cjac.2022.100180] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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