Biochemical analysis assays based on colorimetric methods using gold nanoparticles have many advantages including high sensitivity, good selectivity, naked-eyes readout and complex instruments free. These methods have good prospects in applications. The biomolecule assay is highly relative with human health. This review mainly focuses on colorimetric assays applying gold nanoparticles for biomolecules detection.

OBJECTIVE: To report on a novel weak D type identified in a Chinese individual. METHODS: Peripheral blood sample was collected for a voluntary blood donor with weakened expression of D antigen. Routine serological testing was carried out to determine the D, C, c, E and e antigens of the Rh blood group. A D-screening kit was used to analyze the RhD epitopes. The 10 exons and flanking intronic regions of the RHD gene were sequenced. The zygosity of RHD was determined with a sequence-specific primer PCR method. RESULTS: A novel RHD allele, RHD (1022T>A), was found in the subject with a weak D phenotype. Serological testing of the RhD epitopes has coined with the weak D phenotype. CONCLUSION A novel weak D allele has been identified in Chinese population.
Alleles ; Asian Continental Ancestry Group ; China ; Exons ; Genotype ; Humans ; Introns ; Rh-Hr Blood-Group System ; genetics

OBJECTIVE: To explore the molecular basis for an individual with para-Bombay phenotype of the H blood group. METHODS: Intron 5 to 3'-UTR of the ABO gene and exon 4 of the FUT1 gene were amplified with PCR and subjected to direct sequencing. Mutations of the FUT1 gene were identified by TOPO cloning sequencing. RESULTS: Direct sequencing showed that her ABO genotype was B101/O01. TOPO cloning sequencing found that this individual had three mutations of the FUT1 gene, including an heterozygous AG deletion (CAGAGAG→CAGAG) at position 547 to 552, and two C→T mutations at positions 35 (C35T) and 293 (C293T) on the other homologous chromosome. The two alleles comprised a new recombination of mutations c.35T>C and c.293C>T, and the sequence has been submitted to NCBI (No. MG597611). CONCLUSION A novel combination of FUT1 alleles with c.35 C>T and c.293C>T has been identified in an individual with para-Bombay phenotype.
ABO Blood-Group System ; Alleles ; Female ; Fucosyltransferases ; genetics ; Genotype ; Humans ; Phenotype

OBJECTIVETo explore the molecular mechanism of CisAB01 subtype in the ABO blood group system, and to investigate the expression of A and B antigens in red blood cells (RBCs).

METHODSFor 5 unrelated individuals with the CisAB phenotype, the molecular basis for the blood type was studied with serological assay, DNA sequencing and haplotype analysis. Bioinformatics analysis was carried out to investigate the changes in structure and function of relevant enzymes. Expression of A and B antigens in RBCs of CisAB01 was detected by flow cytometry.

RESULTSAll of the 5 samples were found to have a CisAB01 subtype. The underlying mutations, 467C>T and 803G>C in exon 7, have resulted in replacement of amino acid P156L and G268A. The mean fluorescence intensity (MFI) of A antigen in CisAB01 cases was 135, while the control group was 172. The B antigens in CisAB01 cases (MFI=38) showed significant decrease in MFI compared with the control group (MFI=164).

CONCLUSION803G>C mutation of the ABO gene probably underlies the CisAB01 subtype. Fluorescence intensity of A antigens in CisAB01 subtype cases is slightly lower than the normal type, while the B antigen was significantly lower.

ABO Blood-Group System ; genetics ; Adult ; Base Sequence ; China ; Exons ; Female ; Humans ; Molecular Sequence Data ; Mutation ; Young Adult

OBJECTIVE: To explore the molecular basis for an individual with Ax28 phenotype of the ABO subtype. METHODS: The ABO group antigens on red blood cells of the proband were identified by monoclonal antibodies. The ABO antibody in serum was detected by standard A, B, O cells. Exons 1 to 7 of the ABO gene were respectively amplified by PCR and directly sequenced. Amplicons for exons 5 to 7 were also sequenced after cloning. RESULTS: Weakened A antigen was detected on red blood cells from the proband. Both anti-A and anti-B antibodies were detected in the serum. Heterozygous 261G/del was detected in exon 6, while heterozygous 467C/T and 830T/C were detected in exon 7 by direct DNA sequencing. After cloning and sequencing, two alleles (O01 and Ax28) were obtained. Compared with A102, the sequence of Ax28 contained one nucleotide changes (T to C) at position 830, which resulted in amino acid change (Val to Ala) at position 277. CONCLUSION The novel mutation c.830T>C of the galactosaminyltransferase gene may give rise to the Ax28 phenotype.
ABO Blood-Group System ; genetics ; Alleles ; Amino Acid Substitution ; Exons ; Galactosyltransferases ; genetics ; Genotype ; Humans ; Phenotype ; Polymorphism, Single Nucleotide ; Sequence Deletion

Objective To evaluate the utility of combined liver stiffness measurement (LSM) and spleen stiffness measurement (SSM),by transient elastography,along with measurement of portal vein width (PVW) for evaluating risk of bleeding in patients with esophageal and gastric varices (EV).Methods A total of 73 patients with cirrhosis who were treated in the Department of Gastroenterology of the Second Affiliated Hospital of Xi'an Jiaotong University between April 2014 and March 2015 were included in the study.Child-Pugh classifications were obtained,portal vein widths were measured by ultrasound,liver and spleen stiffness were measured by transient elastography using FibroTouch(R).Patients were examined by electronic endoscopy,upper abdominal computed tomography and standard serum testing.The serum indexes of fibrosis (aspartate aminotransferase (AST) to platelet ratio index (APRI),and AST to alanine aminotransferase ratio (AAR)) were calculated.Patients were grouped according to the results of gastroscopy,with severe (EV) and high risk of bleeding comprising group A and no or mild-to-moderate EV and low risk of bleeding comprising group B.Statistical analysis was carried out with t-test for continuous variables and x2 test for categorical variables to first screen out variables different between groups then the correlation with severe EV was assessed by generating receiver operating characteristic (ROC) curves.Lastly,binary logistic regression was used to evaluate the performance of combined variables for diagnosing severe EV and their predictive value for risk of bleeding.Results Group A and B showed significant differences for LSM,SSM and PVW (all P ＜ 0.05).The cutoffvalues for diagnosing severe EV were 23.4 kPa for LSM,40.3 kPa for SSM and 11.5 mm for PVW,with areas under the ROC curve (AUROC) as 0.655,0.788 and 0.709 respectively.For combined measurements,the AUROC was 0.773 for LSM plus PVW and 0.840 for LSM plus PVW (with highest diagnostic performance).Conclusions Combination of SSM plus PVW measurement shows high diagnostic performance for evaluating severe EV,and better performance than LSM plus SSM plus PVW and LSM plus PVW,with good predictive value for risk of EV bleeding.

Objective The study aimed to construct and validate a predictive model for pulmonary nodules(PN)nature based on clinicopa-thological features,imaging,and serum biomarkers,so as to provide scientificdecision-making for early diagnosis and treatment of lung cancer.Methods A retrospective was performed on 816 PN patients with definited pathological diagnosis who received surgical resection analysisor lung biopsy in the Department of Thoracic Surgery and Oncology of Shenzhen Traditional Chinese Medicine Hospital from January 2019 to February 2023.Among them,113 cases that did not meet the inclusion criteria were excluded,and the remaining 703 cases were included in the study.The study based on the clinicopathologic features(age,gender,smoking history,smoking cessation history and family history of cancer),chest imaging(maximum diameter of nodule,location of lesion,clear border,Lobulation,spiculation,vascular convergence sign,vacuole,calcification,air bronchial sign,emphysema,nodule type and pleural indentation,nodule number)and serum carcinoembryonic antigen(CEA),cytokeratin 19 fragment(CYFRA21-1),squamous cell carcinoma antigen(SCCA)in patients with PN.These cases were randomly divided into a modeling group(n=552,237 benign,315 malignant)and a validation group(n=151,85 benign,66 malignant).First,univariate analysis was performed to screen for statistically significant predictors of nodules nature.Then,multivariate regression analysis was performed to screen for independent predictors of nodules nature.Finally,the prediction model of PN nature was constructed by logistic regression analysis.Subsequently,the validation group data were entered into the proposed model and Mayo clinic(Mayo)model,veterans affairs(VA)model,Brock University(Brock)model,Peking University(PKU)model and Guangzhou Medical University(GZMU)model,respectively.PN malignancy probability was calculated.The receiver operating characteristic(ROC)curves were plotted.The diagnostic efficiency of each model was compared according to the area under the curve(AUC).Results There were statistically significant variables including age,family history of cancer,maximum nodule diameter,nodule type,upper lobe of lung,calcification,vascular convergence sign,lobulation,clear border,spiculation,and serum CEA,SCCA,CYFRA21-1 using univariate analysis.Multiple regression analysis showed that age,CEA,clear border,CYFRA21-1,SCCA,upper lobe of lung,maximum nodule diameter,family history of cancer,spiculation and nodule type were independent predictors of PN nature.The prediction model equation constructed in this study is as follows:f(x)= ex/(1+ex),X=(-6.318 8+0.020 8×Age+0.527 4×CEA-0.928 4×clear border+0.294 6×Cyfra21-1+0.294×maximum nodule diameter+1.220 1×family history of cancer +0.573 2×upper lobe of lung +0.064 8×SCCA +1.461 5×Spiculation +1.497 6×nodule type).The AUC(0.799 vs 0.659,0.650)of the proposed model was significantly higher compared with Mayo model and VA model,and there were statistically significant differences(Z=3.029,2.638,P=0.003,0.008).However,compared with Brock model,PKU model and GZMU model,the differences of AUC(0.799 vs 0.762,0.773,0.769)were not statistically significant(Z=1.063,0.686,0.757,P=0.288,0.493,0.449).Conclusion The prediction model for PN nature established in this study is accurate and reliable,which can help clinics with early diagnosis and early intervention,and this prediction model deserves to be popularized.