Mass Spectrometric Assay of Alpha-Fetoprotein Isoforms for Accurate Serological Evaluation

A strategy to enhance the water solubility of luminescent β-diketonate-Europium(III) complexes for time-gated luminescence bioassays

Luminescent β-diketonate-europium(III) complexes have been found a wide range of applications in time-gated luminescence (TGL) bioassays, but their poor water solubility is a main problem that limits their effective uses. In this work we propose a simple and general strategy to enhance the water solubility of luminescent β-diketonate-europium(III) complexes that permits facile synthesis and purification. By introducing the fluorinated carboxylic acid group into the structures of β-diketone ligands, two highly water-soluble and luminescent Eu3+ complexes, PBBHD-Eu3+ and CPBBHD-Eu3+, were designed and synthesized. An excellent solubility exceeding 20 mg/mL for PBBHD-Eu3+ was found in a pure aqueous buffer, while it also displayed strong and long-lived luminescence (quantum yield φ = 26%, lifetime τ = 0.49 ms). After the carboxyl groups of PBBHD-Eu3+ were activated, the PBBHD-Eu3+-labeled streptavidin-bovine serum albumin (SA-BSA) conjugate was prepared, and successfully used for the immunoassay of human α-fetoprotein (AFP) and the imaging of an environmental pathogen Giardia lamblia under TGL mode, which demonstrated the practicability of PBBHD-Eu3+ for highly sensitive TGL bioassays. The carboxyl groups of PBBHD can also be easily derivatized with other reactive chemical groups, which enables PBBHD-Eu3+ to meet diverse requirements of biolabeling technique, to provide new opportunities for developing functional europium(III) complex biolabels serving for TGL bioassays.

An AgPd NP-based lateral flow immunoassay for simultaneous detection of glycocholic acid and alpha-fetoprotein

Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality globally, ranking third in cancer deaths. Early diagnosis of HCC markers is imperative for effective prognosis and treatment. This study explores the utility of glycocholic acid (GCA) and alpha-fetoprotein (AFP) as biomarkers for liver diseases, with a specific focus on their simultaneous detection for enhanced diagnostic and prognostic capabilities. Harnessing the benefits of lateral flow immunoassay (LFIA), such as operational simplicity, speed, and accuracy, we engineered AgPd nanocomposites with antibodies targeting GCA and AFP. Under the optimized conditions, the visual detection limit for GCA was established at 50 ng mL-1 and the cut-off value at 104 ng mL-1. And for AFP, the visual detection limit was 0.1 ng mL-1 and the cut-off value was 500 ng mL-1. The accuracy and feasibility of the strips were validated through the detection of 39 actual serum samples. The results highlight the potential of LFIA as a rapid and effective tool for clinical diagnosis. The developed LFIA method not only demonstrates accuracy and feasibility but also presents a promising avenue for the early diagnosis of hepatocellular carcinoma.

Single-Molecule Protein Analysis by Centrifugal Droplet Immuno-PCR with Magnetic Nanoparticles

Detecting proteins in ultralow concentrations in complex media is important for many applications but often relies on complicated techniques. Herein, a single-molecule protein analyzer with the potential for high-throughput applications is reported. Gold-coated magnetic nanoparticles with DNA-labeled antibodies were used for target recognition and separation. The immunocomplex was loaded into microdroplets generated with centrifugation. Immuno-PCR amplification of the DNA enabled the quantification of proteins at the level of single molecules. As an example, ultrasensitive detection of α-synuclein, a biomarker for neurodegenerative diseases, is achieved. The limit of detection was determined to be ∼50 aM in buffer and ∼170 aM in serum. The method exhibited high specificity and could be used to analyze post-translational modifications such as protein phosphorylation. This study will inspire wider studies on single-molecule protein detection, especially in disease diagnostics, biomarker discovery, and drug development.

Intramolecular fluorescence resonance energy transfer strategy for accurate detection of AFP-L3% and improved diagnosis of hepatocellular carcinoma

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.

Fluorometric detection of alpha-fetoprotein based on the use of a novel organic compound with AIE activity and aptamer-modified magnetic microparticles

BACKGROUND

Liver cancer is one of the most common cancers in the world, and it seriously threatens human life and health. Alpha-fetoprotein (AFP), as a carcinogenic glycoprotein, is an important serum marker for detecting liver cancer. Therefore, the accurate and sensitive determination of AFP is crucial for the early diagnosis and treatment of liver cancer. To this end, a label-free fluorescence aptasensor for detecting AFP based on the use of a novel organic Compound D with an aggregation-induced emission activity and aptamer-modified magnetic microparticles was constructed.

RESULTS

Compound D could combine with the complementary short chain of the aptamer (CSC-Apt) of AFP to form the D/CSC-Apt complex and realize the fluorescence enhancement of Compound D. Then, magnetic particles modified by the Apt of AFP (Apt-Fe3O4) were prepared. When AFP (or nontarget substance) and D/CSC-Apt were successively added to the Apt-Fe3O4 solution, Apt-Fe3O4 selectively bound to AFP or the D/CSC-Apt complex. Magnetic separation technology showed the changes in the fluorescence intensity of the supernatant. The research results revealed a good linear relationship between the changes in the fluorescence intensity of the supernatant and concentration of AFP within the concentration range of 10-10000 pg mL-1. The proposed aptasensor could achieve high-sensitivity and high-specificity detection of AFP, and its limit of detection was 3 pg mL-1 (S/N = 3).

SIGNIFICANCE AND NOVELTY

The sensor combines the advantages of high selectivity of Apt, high sensitivity of fluorescence analysis, AIE effect and good water solubility of Compound D, and rapid separation using magnetic separation technology. And it can be directly used for the detection of AFP in actual serum samples with high accuracy, whereas most of the methods reported in the literature can only detect AFP in spiked serum samples.

Single Cell Phenotypic Analysis for Cancer Stem Cell Identification by Dual-Isotope ICP-QMS

Single cell phenotypic analysis is significant for clinical diagnosis, treatment, and prognosis of cancer. Accurate differentiation of cancer stem cell (CSC) subpopulations from a large number of cancer cells may become a cancer surveillance tool and provide important implications for the development of new CSC-targeted therapy strategies. Herein, we report a new approach based on dual-isotope inductively coupled plasma quadrupole mass spectrometry (ICP-QMS) for single cell phenotypic analysis. High-throughput single cell sampling was achieved by a spiral channel microfluidic chip for cell focusing and alignment, and single cell analysis was performed with time-resolved ICP-QMS by identifying the highly specific probes. This enables the monitoring of two surface protein markers (EpCAM and MUC1) of three cell types, i.e., HeLa, MCF-7, and HepG2, at single cell level. The analysis of breast cancer stem cells further confirmed its capability in distinguishing rare cell phenotypes. The present study provides promising possibilities for adopting ICP-QMS in biomedical investigations in terms of cell typing, stemness identification of tumor cells, and cell heterogeneity analysis.

Ordered Labeling-Facilitated Electrochemical Assay of Alpha-Fetoprotein-L3 Ratio for Diagnosing Hepatocellular Carcinoma

Serum alpha fetoprotein (AFP) is a "gold-standard" biomarker for the diagnosis of hepatocellular carcinoma (HCC). Available pieces of evidence suggest that the ratio of AFP-L3 isoform in the total AFP may provide more accurate prediction for the incidence of HCC. In this work, we design an electrochemical aptasensor for high-accuracy assay of AFP-L3 ratio based on differentiated labeling of AFP isoforms in an orderly fashion. Specifically, total AFP is first captured by an AFP aptamer-functionalized electrode and labeled with quantum dots-functionalized DNA probes via mild reduction. Then, AFP-L3 isoform that strongly binds to Lens culinaris agglutinin is labeled with silver nanoparticles after the exonuclease-catalyzed removal of DNA probes. By tracing the electrochemical responses of quantum dots and silver nanoparticles, respectively, the amounts of total AFP and AFP-L3 isoforms are determined and the AFP-L3 ratio is accordingly calculated to favor the accurate HCC diagnosis. Experimental results prove the high-accuracy assay of AFP-L3 ratio based on the AFP quantitation in a linear range of 0.0008-40 ng mL^-1 and AFP-L3 quantitation in a linear range of 0.004-40 ng mL^-1. The aptasensor also displays satisfactory specificity and good recoveries even in the complex serum samples. Therefore, the aptasensor may provide a valuable tool for the assay of the AFP-L3 ratio and have a great potential use in early warning of HCC for clinical application.

A Novel Secreted Protein-Related Gene Signature Predicts Overall Survival and Is Associated With Tumor Immunity in Patients With Lung Adenocarcinoma

Secreted proteins are important proteins in the human proteome, accounting for approximately one-tenth of the proteome. However, the prognostic value of secreted protein-related genes has not been comprehensively explored in lung adenocarcinoma (LUAD). In this study, we screened 379 differentially expressed secretory protein genes (DESPRGs) by analyzing the expression profile in patients with LUAD from The Cancer Genome Atlas database. Following univariate Cox regression and least absolute shrinkage and selection operator method regression analysis, 9 prognostic SPRGs were selected to develop secreted protein-related risk score (SPRrisk), including CLEC3B, C1QTNF6, TCN1, F2, FETUB, IGFBP1, ANGPTL4, IFNE, and CCL20. The prediction accuracy of the prognostic models was determined by Kaplan–Meier survival curve analysis and receiver operating characteristic curve analysis. Moreover, a nomogram with improved accuracy for predicting overall survival was established based on independent prognostic factors (SPRrisk and clinical stage). The DESPRGs were validated by quantitative real-time PCR and enzyme-linked immunosorbent assay by using our clinical samples and datasets. Our results demonstrated that SPRrisk can accurately predict the prognosis of patients with LUAD. Patients with a higher risk had lower immune, stromal, and ESTIMATE scores and higher tumor purity. A higher SPRrisk was also negatively associated with the abundance of CD8⁺ T cells and M1 macrophages. In addition, several genes of the human leukocyte antigen family and immune checkpoints were expressed in low levels in the high-SPRrisk group. Our results provided some insights into assessing individual prognosis and choosing personalized treatment modalities.

Standard-free single magnetic bead evaluation: a stable nanoplatform for prostate disease differentiation

Explicit interpretation of heterogeneity between prostate-specific antigen (PSA) subtypes is essential for prostate cancer differentiation during different disease courses, whereas a universal protocol with uniform criteria is still lacking across the globe. In this work, a standard-free single magnetic bead (SMB) nanoplatform utilizing metal nanoparticles with optimal diameters was proposed for prostate disease differentiation in a 134-donor model. The inaccuracy of detection in absolute quantification was diminished via evaluations of metal intensities on the single magnetic bead. The intrinsic proportion of fPSA in tPSA was successfully evaluated by direct use of the Pt to Au intensity ratio (Pt/Au ratio), exhibiting better differentiation between healthy and unhealthy, benign prostatic hyperplasia (BPH) and cancer individuals compared with solo fPSA or tPSA. We generated thresholds respectively for prostate disease differentiation, envisioning that this standard-free SMB nanoplatform would establish a standardized methodology with uniform criteria worldwide in cancer diagnosis, staging, and postoperative assessments.

A Glycoform-Resolved Dual-Modal Ratiometric Immunoassay Improves the Diagnostic Precision for Hepatocellular Carcinoma

The glycosylation pattern of alpha fetoprotein (AFP) paves the basis for precise early diagnosis of hepatocellular carcinoma (HCC). However, existing analytical methods ignore the contribution of terminal sialic acid, which has been reported to be highly connected with HCC. Besides, the development of diagnostic assays is severely hindered by the preparation of anti-glycans antibodies. Molecularly imprinted polymers (MIPs), as synthetic antibody mimics, provide unique strengths to address these issues. Herein, we report a MIPs-based dual-modal ratiometric immunoassay for precise HCC diagnosis. Using a "pit one against ten" MIP to recognize a subset of glycans containing sialic acid and/or core fucose, we demonstrated our assay exhibited improved precision as compared with ELISA. This assay provided not only a glycoform-resolved method for precise HCC diagnosis, but also a new paradigm for developing antibody mimics via molecular imprinting towards challenging biomedical applications.

Gold Nanowires Array-Based Closed Bipolar Nanoelectrode System for Electrochemiluminescence Detection of α-Fetoprotein on Cell Surface

Inspired by the promising applications of a closed bipolar electrodes (c-BPEs) system in electrochemiluminescence (ECL) detection of cell adhesion and disease-related biomarkers, here, a gold nanowires array-based c-BPEs system was constructed for cell surface protein detection. Regular and uniform gold nanowires array were prepared by intermittent potentiostatic deposition. Then, two poly(dimethylsiloxane) (PDMS) chips with a hole diameter of 2 mm as a reservoir were placed at both sides of Au nanowires array to construct c-BPEs system. Thionine-functionalized silicon dioxide nanoparticles conjugated to antibody (Ab2-Th@SiO₂) were used as the electrochemical probe, while [Ru(bpy)₃]²⁺-wrapped SiO₂ nanoparticles (Ru(II)@SiO₂) were employed as the ECL signal readout. Taking α-fetoprotein (AFP) as model, the gold nanowires array-based c-BPEs system allowed sensitive detection of AFP at a linear range from 0.002 to 50.0 ng/mL and at least 6 living cells ascribing to the synergetic amplification effect at both sensing and reporting chambers. Besides, the amount of AFP expressed by HepG2 cells was calculated to be 6.71 pg/cell. The presented strategy with high sensitivity provided a promising and universal platform for the detection of other cancer cells and disease-related biomarkers (such as proteins, glycan, miRNA).

Multiplex DNA Walking Machines for Lung Cancer-Associated miRNAs

Biomimetic DNA walking machines have gained great success in scrutinizing the microscopic world and sensitive biosensing of disease biomarkers. Despite superb achievements, the research on DNA walking machines for simultaneous detection of multiple analytes is still rare, while the design and realization of multiplexing are considered as an important bottleneck. The multiplex detection of biomarkers can not only improve the specificity of bioassays but also avoid the squander of valuable biological specimens. Herein, we reported multiplex three-dimensional (3D) DNA walking machines based on high-resolution inductively coupled plasma mass spectrometry (HR-ICPMS) for lung cancer-associated miRNA detection. In the presence of lung cancer-associated target miRNAs (miR-21, miR-141, and miR-125b), DNA walking machines were stimulated and operated to liberate a large number of lanthanide elements (Tb, Ho, and Tm), and then the signals were collected simultaneously by HR-ICPMS. The recovery test of target miRNAs in human serum and the simultaneous monitoring experiment of three miRNAs in human lung cancer cell line (A549) and normal cell line (HBE) specimens display satisfactory analysis capabilities for complex biological samples. Thanks to the vast potential of lanthanide tags and the modular design, the proposed bioassay might flexibly detect different miRNA combinations with corresponding sets of DNA walking machines to meet the requirements of various tasks.

HOGG1-assisted DNA methylation analysis via a sensitive lanthanide labelling strategy

The assessment of DNA methylation level is an important indicator for the diagnosis and treatment of some diseases. DNA methylation assays are usually based on nucleic acid amplification strategies, which are time-consuming and complicated in operation procedures. Herein, we proposed a sensitive lanthanide-labelled ICP-MS method for DNA methylation analysis that exploited the feature of Human 8-oxoGuanine DNA Glycosylase (hOGG1), which specifically recognizes 8-oxo-G/5mC base pairs to effectively distinguish methylated DNA. A low limit of detection of 84 pM was achieved, and a 0.1% methylation level can be discriminated in the mixture, without any amplification procedure. Compared with commonly used nucleic acid amplification strategies, this proposed method is time-saving and low probability of false positive. Moreover, this work has been successfully validated in human serum samples, the recovery rates is between 96.7% and 105%, and the relative standard deviation (RSD) is in the range of 3.0%-3.5%, indicating that this method has the potential to be applied in clinical and biological samples quantitative analysis.

Lanthanide Nanoprobes for the Multiplex Evaluation of Breast Cancer Biomarkers

Metal stable isotope tagging has demonstrated great and unique success in the multiplex and ratiometry-based accurate detection of biomolecules and single cells, while its sensitivity is regarded as an Achilles' heel. Although lanthanide nanoparticles remain the most promising tags for elemental mass spectrometry, there is no report on the lanthanide nanoparticle-based multiplex immunoassay of disease markers in clinical serum samples because of their tough synthesis and bioconjugation and a complex physiological sample matrix. Herein, to fill this gap, multiple lanthanide nanoparticle tags (NaEuF₄, NaTbF₄, and NaHoF₄) were delicately designed and facilely synthesized with a one-pot solvothermal method for the multiplex evaluation of breast cancer biomarkers carcinoembryonic antigen (CEA), CA153, and CA125 in human serum samples. The proposed method exhibited wide linear ranges and low levels of the detection limit for all biomarkers. The test results were consistent with the routine electrochemiluminescence results in clinical serum samples, which proved the possibility of the early prognosis of breast cancer as well as improving the surgical outcome prediction.

Multiplex Nucleic Acid Assay of SARS-CoV-2 via a Lanthanide Nanoparticle-Tagging Strategy

Early diagnosis, early isolation, and early treatment are efficient solutions to control the COVID-19 pandemic. To achieve the accurate early diagnosis of SARS-CoV-2, a multiplex detection strategy is required for the cross-validation to solve the problem of "false negative" of the existing gold standard assay. Here, we present a multicomponent nucleic acid assay platform for SARS-CoV-2 detection based on lanthanide nanoparticle (LnNP)-tagging strategy. For targeting SARS-CoV-2's RNA fragments ORF1ab gene, RdRp gene, and E gene, three LnNP probes can be used simultaneously to identify three sites in one sample through elemental mass spectrometry detection with limits of detection of 1.2, 1.3, and 1.3 fmol, respectively. With the multisite cross-validation, we envision that this multiplex and sensitive detection platform may provide an effective strategy for SARS-CoV-2 fast screening with a high accuracy.

Integral Multielement Signals by DNA-Programmed UCNP-AuNP Nanosatellite Assemblies for Ultrasensitive ICP-MS Detection of Exosomal Proteins and Cancer Identification

Exosomes are expected to be used as cancer biomarkers because they carry a variety of cancer-related proteins inherited from parental cells. However, it is still challenging to develop a sensitive, robust, and high-throughput technique for simultaneous detection of exosomal proteins. Herein, three aptamers specific to cancer-associated proteins (CD63, EpCAM, and HER2) are selected to connect gold nanoparticles (AuNPs) as core with three different elements (Y, Eu, and Tb) doped up-conversion nanoparticles (UCNPs) as satellites, thereby forming three nanosatellite assemblies. The presence of exosomes causes specific aptamers to recognize surface proteins and release the corresponding UCNPs, which can be simultaneously detected by inductively coupled plasma-mass spectrometry (ICP-MS). It is worth noting that rare earth elements are scarcely present in living systems, which minimize the background for ICP-MS detection and exclude potential interferences from the coexisting species. Using this method, we are able to simultaneously detect three exosomal proteins within 40 min, and the limit of detection for exosome is 4.7 × 10³ particles/mL. The exosomes from seven different cell lines (L-02, HepG2, GES-1, MGC803, AGS, HeLa, and MCF-7) can be distinguished with 100% accuracy by linear discriminant analysis. In addition, this analytical strategy is successfully used to detect exosomes in clinical samples to distinguish stomach cancer patients from healthy individuals. These results suggest that this sensitive and high-throughput analytical strategy based on ICP-MS has the potential to play an important role in the detection of multiple exosomal proteins and the identification of early cancer.

Electrochemical aptasensor for analyzing alpha-fetoprotein using RGO-CS-Fc nanocomposites integrated with gold-platinum nanoparticles

Herein, a label-free electrochemical aptasensor for alpha-fetoprotein (AFP) analysis was established. The AFP aptamer (AFP-Apt), as the recognition molecule, was immobilized on the surface of a screen-printed carbon electrode, which was modified by gold-platinum metallic nanoparticles and reduced graphene oxide-chitosan-ferrocene nanohybrids (Au-Pt NPs/RGO-CS-Fc), to build the AFP electrochemical aptasensor. The construction process of the aptasensor was characterized by scanning electron microscopy, X-ray photoelectron spectroscopy, Raman spectroscopy, and electrochemical impedance spectroscopy. With the addition of AFP, the formation of the AFP-aptamer conjugation blocked the electron transfer reaction, reducing the differential pulse voltammetric responses of the current of Fc in the RGO-CS-Fc nanohybrids. By optimizing the experimental parameters, AFP could be detected with the dynamic concentration range of 0.001 to 10.0 μg mL^-1 and with a detection limit of 0.3013 ng mL^-1. In addition, the approach was manifested to have good selectivity, reproducibility, and stability. The fabricated aptasensor had a good recovery rate of 102.36% to 118.09% in real human serum samples. This work demonstrates that the electrochemical aptasensor is a useful tool for analyzing AFP inexpensively, rapidly, and accurately.

Tag-Free Methodology for Ultrasensitive Biosensing of miRNA Based on Intrinsic Isotope Detection

MicroRNA (miRNA), of which the abnormal intracellular expression highly associates with numerous pathological diseases, is considered as an important biomarker for early diagnosis and state monitoring of cancer. To avoid the tedious and vunerable labeling process, a series of novel label-free quantification methods for miRNA have been proposed. However, current label-free miRNA assays still require the presynthesis of a sensing unit as tags. Herein, we propose a "tag-free" methodology for miRNA quantification to realize the removal of sensing labels. Combining a concatenated-HCR (C-HCR) strategy and high-resolution inductive couple plasma mass spectrometry (HR-ICPMS) detection, we utilize phosphorus as a characteristic element to quantify the concentration of nucleotides. Benefiting from the excellent amplification performance of C-HCR and element analysis capacity of HR-ICPMS, a 13 fM limit of detection (LOD) was obtained. Ulteriorly, we verify the anti-interference performance of the proposed tag-free miRNA assay with a phosphate substrate-contained cell culture medium or nontarget miRNA. Furthermore, two cell lines of human cancer were chosen to evaluate the real biological sample analysis capacity. The good correlation data indicate promising prospects of the proposed tag-free methodology for the quantification of miRNA in tumor cells and further clinical applications.