Efficacy of a Diabetes Specific Nutrition Supplement on Glycemic, Anthropometric, Dietary and Gut Health Markers in Adults with Type 2 Diabetes: An RCT

With increasing incidence of diabetes, use of diabetes specific nutrition supplements (DSNS) is common for better management of the disease. To study effect of 12-week DSNS supplementation on glycemic markers, anthropometry, lipid profile, SCFAs, and gut microbiome in individuals with diabetes. Markers studied were glycemic [Fasting Blood Glucose (FBG), Post Prandial Glucose (PPG), HbA1c, Incremental Area under curve (iAUC), Mean Amplitude of Glycemic Excursions (MAGE), Time in/above Range (TIR/TAR)], anthropometry [weight, Body Mass Index (BMI), waist circumference (WC)], lipid profile, diet and gut health [plasma short chain fatty acids (SCFAs)]. N = 210 adults were randomized to receive either DSNS with standard care (DSNS + SC;n = 105) or standard care alone (SC alone;n = 105). After 12 weeks, significant differences between DSNS + SC versus SC alone was observed in FBG [−3 ± 6 vs 14 ± 6 mg/dl;p = 0.03], PPG [−35 ± 9 vs −3 ± 9 mg/dl;p = 0.01], weight [−0.6 ± 0.1 vs 0.2 ± 0.1 kg;p = 0.0001], BMI [−0.3 ± 0.1 vs 0.1 ± 0.1 kg/m2;p = 0.0001] and WC [−0.3 ± 0.2 vs 0.2 ± 0.2 cm;p = 0.01]. HbA1C and low-density lipoprotein (LDL) were significantly reduced in DSNS + SC [−0.2 ± 0.9;p = 0.04 and −5 mg/dl;p = 0.03] respectively with no change in control. Continuous Glucose Monitoring (CGM) reported significant differences between DSNS + SC versus SC alone for mean glucose [−12 ± 65 vs 28 ± 93 mg/dl;p < 0.01], TAR 180 [−9 ± 42 vs 7 ± 45 mg/dl;p = 0.04], TAR 250 [−3 ± 27 vs 9 ± 38 mg/dl;p = 0.05], iAUC [−192 (1.1) vs −48 (1.1) mg/dl;p = 0.03]. MAGE was significantly reduced for both DSNS + SC (−19 ± 67;p < 0.001) and SC alone (−8 ± 70;p = 0.04), with reduction being more pronounced for DSNS + SC. DSNS + SC reported a decrease in carbohydrate energy % [−9.4 (−11.3, −7.6) %;p < 0.0001] and amount [−47.4 (−67.1, −27.7) g;p < 0.0001], increased dietary fiber [9.5 (7.2, 11.8) g;p < 0.0001] and protein energy % [0.9 (0.5, 1.3) %;p < 0.0001] versus SC alone. DSNS + SC reported significant increases versus SC alone in total (0.3 ng/ml;p = 0.03) and individual plasma SCFAs. The consumption of DSNS significantly improves the glycemic, anthropometric, dietary, and gut health markers in diabetes.

Efficacy of a Diabetes Specific Nutritional Supplement (DSNS) on Glycemic Response in Prediabetic Adults: A Two-Armed, Open-Labelled Randomized Controlled Study

It is well known that Diabetes Specific Nutritional Supplements (DSNSs) are linked to improved glycemic control in individuals with diabetes. However, data on efficacy of DSNSs in prediabetics is limited. This was a two-armed, open-labelled, randomized controlled six-week study on 199 prediabetics [30 - 65 years;Glycosylated Hemoglobin (HbA1c) 5.7% - 6.4% and/or Fasting Blood Glucose (FBG) 100-125 mg/dl]. Two parallel phases were conducted: Acute Blood Glucose Response (ABGR) and Intervention phase. Prediabetic participants were randomized into test (n = 100) and control (n = 99). The primary objective was to assess the ABGR of DSNS versus an isocaloric snack, measured by incremental Area under the Curve (iAUC). Test and control received 60 g of DSNS and 56 g of isocaloric snack (cornflakes) respectively, both in 250 ml double-toned milk on visit days 1, 15, 29 and 43. Postprandial Blood Glucose (PPG) was estimated at 30, 60, 90, 120, 150 and 180 minutes. During the 4 weeks intervention phase, the test group received DSNS with lifestyle counselling (DSNS + LC) and was compared with the control receiving lifestyle counselling alone (LC alone). Impact was studied on FBG, HbA1C, anthropometry, body composition, blood pressure, nutrient intake, and physical activity. The impact of DSNS was also studied using CGM between two 14-day phases: CGM1 baseline (days 1 - 14) and CGM2 endline (days 28 - 42). DSNS showed significantly lower PPG versus isocaloric snack at 30 (p 12, and chromium were reported by DSNS + LC versus LC alone. No other significant changes were reported between groups. It may be concluded that DSNS may be considered as a snack for prediabetic or hyperglycemic individuals requiring nutritional support for improved glycemic control.

Design of Fully Automatic Specification Selection System for Resistance Welding Equipment

A system for fully automatic selection of welding specifications in resistance welding equipment has been developed to address the problem of workers frequently choosing the wrong specifications during manual welding of multiple parts on a single machine in automobile factories. The system incorporates an automatic recognition system for different workpiece materials using the added machine fixture,visual detection system for nuts and bolts,and secondary graphical confirmation to ensure the correctness of specification calling. This system achieves reliable,fully automatic selection of welding specifications in resistance welding equipment and has shown significant effects in improving welding quality for massproduced workpieces,while solving the problem of specification calling errors that can occur with traditional methods involving process charts and code adjustments. This system is particularly suitable for promoting applications in manual welding of multiple parts on a single machine in automobile factories,ensuring correct specification calling and welding quality.

Enhancing Relational Triple Extraction in Specific Domains:Semantic Enhancement and Synergy of Large Language Models and Small Pre-Trained Language Models

In the process of constructing domain-specific knowledge graphs,the task of relational triple extraction plays a critical role in transforming unstructured text into structured information.Existing relational triple extraction models facemultiple challenges when processing domain-specific data,including insufficient utilization of semantic interaction information between entities and relations,difficulties in handling challenging samples,and the scarcity of domain-specific datasets.To address these issues,our study introduces three innovative components:Relation semantic enhancement,data augmentation,and a voting strategy,all designed to significantly improve the model’s performance in tackling domain-specific relational triple extraction tasks.We first propose an innovative attention interaction module.This method significantly enhances the semantic interaction capabilities between entities and relations by integrating semantic information fromrelation labels.Second,we propose a voting strategy that effectively combines the strengths of large languagemodels(LLMs)and fine-tuned small pre-trained language models(SLMs)to reevaluate challenging samples,thereby improving the model’s adaptability in specific domains.Additionally,we explore the use of LLMs for data augmentation,aiming to generate domain-specific datasets to alleviate the scarcity of domain data.Experiments conducted on three domain-specific datasets demonstrate that our model outperforms existing comparative models in several aspects,with F1 scores exceeding the State of the Art models by 2%,1.6%,and 0.6%,respectively,validating the effectiveness and generalizability of our approach.

Basic regulatory science behind drug substance and drug product specifications of monoclonal antibodies and other protein therapeutics

In this review,we focus on providing basics and examples for each component of the protein therapeutic specifications to interested pharmacists and biopharmaceutical scientists with a goal to strengthen understanding in regulatory science and compliance.Pharmaceutical specifications comprise a list of important quality attributes for testing,references to use for test procedures,and appropriate acceptance criteria for the tests,and they are set up to ensure that when a drug product is administered to a patient,its intended therapeutic benefits and safety can be rendered appropriately.Conformance of drug substance or drug product to the specifications is achieved by testing an article according to the listed tests and analytical methods and obtaining test results that meet the acceptance criteria.Quality attributes are chosen to be tested based on their quality risk,and consideration should be given to the merit of the analytical methods which are associated with the acceptance criteria of the specifications.Acceptance criteria are set forth primarily based on efficacy and safety profiles,with an increasing attention noted for patient-centric specifications.Discussed in this work are related guidelines that support the biopharmaceutical specification setting,how to set the acceptance criteria,and examples of the quality attributes and the analytical methods from 60 articles and 23 pharmacopeial monographs.Outlooks are also explored on process analytical technologies and other orthogonal tools which are on-trend in biopharmaceutical characterization and quality control.

Comparative Analysis of Statistical Thickness Models for the Determination of the External Specific Surface and the Surface of the Micropores of Materials: The Case of a Clay Concrete Stabilized Using Sugar Cane Molasses

In this work, four empirical models of statistical thickness, namely the models of Harkins and Jura, Hasley, Carbon Black and Jaroniec, were compared in order to determine the textural properties (external surface and surface of micropores) of a clay concrete without molasses and clay concretes stabilized with 8%, 12% and 16% molasses. The results obtained show that Hasley’s model can be used to obtain the external surfaces. However, it does not allow the surface of the micropores to be obtained, and is not suitable for the case of simple clay concrete (without molasses) and for clay concretes stabilized with molasses. The Carbon Black, Jaroniec and Harkins and Jura models can be used for clay concrete and stabilized clay concrete. However, the Carbon Black model is the most relevant for clay concrete and the Harkins and Jura model is for molasses-stabilized clay concrete. These last two models augur well for future research.

Development of donor specific antibodies after SARS-CoV-2 vaccination:What do we know so far?

Vaccination against Coronavirus disease-19(COVID-19)was pivotal to limit spread,morbidity and mortality.Our aim is to find out whether vaccines against COVID-19 lead to an immunological response stimulating the production of de novo donor specific antibodies(DSAs)or increase in mean fluorescence intensity(MFI)of pre-existing DSAs in kidney transplant recipients(KTRs).This study involved a detailed literature search through December 2nd,2023 using PubMed as the primary database.The search strategy incorporated a combination of relevant Medical Subject Headings terms and keywords:"COVID-19","SARS-CoV-2 Vaccination","Kidney,Renal Transplant",and"Donor specific antibodies".The results from related studies were collated and analyzed.A total of 6 studies were identified,encompassing 460 KTRs vaccinated against COVID-19.Immunological responses were detected in 8 KTRs of which 5 had increased MFIs,1 had de novo DSA,and 2 were categorized as either having de novo DSA or increased MFI.There were 48 KTRs with pre-existing DSAs prior to vaccination,but one study(Massa et al)did not report whether pre-existing DSAs were associated with post vaccination outcomes.Of the remaining 5 studies,35 KTRs with pre-existing DSAs were identified of which 7 KTRs(20%)developed de novo DSAs or increased MFIs.Overall,no immunological response was detected in 452(98.3%)KTRs.Our study affirms prior reports that COVID-19 vaccination is safe for KTRs,especially if there are no pre-existing DSAs.However,if KTRs have pre-existing DSAs,then an increased immunological risk may be present.These findings need to be taken cautiously as they are based on a limited number of patients so further studies are still needed for confirmation.

RFFsNet-SEI:a multidimensional balanced-RFFs deep neural network framework for specific emitter identification

Existing specific emitter identification(SEI)methods based on hand-crafted features have drawbacks of losing feature information and involving multiple processing stages,which reduce the identification accuracy of emitters and complicate the procedures of identification.In this paper,we propose a deep SEI approach via multidimensional feature extraction for radio frequency fingerprints(RFFs),namely,RFFsNet-SEI.Particularly,we extract multidimensional physical RFFs from the received signal by virtue of variational mode decomposition(VMD)and Hilbert transform(HT).The physical RFFs and I-Q data are formed into the balanced-RFFs,which are then used to train RFFsNet-SEI.As introducing model-aided RFFs into neural network,the hybrid-driven scheme including physical features and I-Q data is constructed.It improves physical interpretability of RFFsNet-SEI.Meanwhile,since RFFsNet-SEI identifies individual of emitters from received raw data in end-to-end,it accelerates SEI implementation and simplifies procedures of identification.Moreover,as the temporal features and spectral features of the received signal are both extracted by RFFsNet-SEI,identification accuracy is improved.Finally,we compare RFFsNet-SEI with the counterparts in terms of identification accuracy,computational complexity,and prediction speed.Experimental results illustrate that the proposed method outperforms the counterparts on the basis of simulation dataset and real dataset collected in the anechoic chamber.

Genetic regulation of cell type-specific chromatin accessibility shapes brain disease etiology

Nucleotide variants in cell type-specific gene regulatory elements in the human brain are risk factors for human disease.We measured chromatin accessibility in 1932 aliquots of sorted neurons and non-neurons from 616 human postmortem brains and identified 34,539 open chromatin regions with chromatin accessibility quantitative trait loci(caQTLs).Only 10.4%of caQTLs are shared between neurons and non-neurons,which supports cell type-specific genetic regulation of the brain regulome.Incorporating allele-specific chromatin accessibility improves statistical fine-mapping and refines molecular mechanisms that underlie disease risk.Using massively parallel reporter assays in induced excitatory neurons,we screened 19,893 brain QTLs and identified the functional impact of 476 regulatory variants.Combined,this comprehensive resource captures variation in the human brain regulome and provides insights into disease etiology.

Identity Study of English for Specific Purposes Teachers in the Context of Shifts in Public English Teaching Positioning

This study investigates the identity of English for Specific Purposes(ESP)teachers within the dynamic landscape of shifts in public English teaching positioning.Adopting a mixed-methods approach,qualitative and quantitative analyses were employed to explore the complexities of ESP teacher identity construction and adaptation.Qualitative findings revealed key themes including strong professional identity grounded in specialized expertise,the impact of changing educational policies and curriculum reforms,and the importance of cultural competence and intercultural communication.Quantitative analysis of survey data indicated high levels of job satisfaction among ESP teachers,with significant correlations between variables such as professional development participation,perceived efficacy in technology integration,and self-perceptions of identity as ESP educators.

Allele-specific expression and alternative splicing in horse×donkey and cattle×yak hybrids

Divergence of gene expression and alter native splicing is a crucial driving force in the evolution of species;to date, however the molecular mechanism remains unclear. Hybrids of closely related species provide a suitable model to analyze allele-specific expressi on (ASE) and allele-specific alter native splicing (ASS). Analysis of ASE and ASS can uncover the differences in cis-regulatory elements between closely related species, while eliminating interferenee of trans-regulatory elements. Here, we provide a detailed characterization of ASE and ASS from 19 and 10 transcriptome datasets across five tissues from reciprocal-cross hybrids of horsex don key (mule/hi nny) and cattlexyak (dzo), respectively. Results showed that 4.8%-8.7% and 10.8%-16.7% of genes exhibited ASE and ASS, respectively. Notably, IncRNAs and pseudogenes were more likely to show ASE than protein-coding genes. In addition, genes showing ASE and ASS in mule/hinny were found to be involved in the regulation of muscle strength, whereas those of dzo were involved in high-altitude adaptati on. In con clusi on, our study dem on strated that explorati on of genes showing ASE and ASS in hybrids of closely related species is feasible for species evolution research.

Specific HLA-DQB1 alleles associated with risk for development of hepatocellular carcinoma:A meta-analysis

AIM:To evaluate the association of human leukocyte antigen(HLA)-DQB1 alleles with hepatocellular carcinoma(HCC) through meta-analysis of published data.METHODS:Case-control studies on HLA-DQB1 allele association with HCC published up to January 2010 were included in the analyses.The odds ratios(ORs) of HLADQB1 allele distributions in HCC patients were analyzed and compared with healthy controls.The meta-analysis software REVMAN 5.0 was applied for investigating heterogeneity among individual studies and for summarizing all the studies.A meta-analysis was performed using fixed-effect or random-effect methods,depending on the absence or presence of significant heterogeneity.Seven case-control studies containing 398 cases and 594 controls were included in the final analysis.RESULTS:Among the five family alleles,two(DQB1*02 and DQB1*03) were found to be significantly associated with the risk of HCC.The combined OR for the association of DQB1*02 and DQB1*03 allele with the risk for HCC was 1.78(95% CI:1.05-3.03,P = 0.03) and 0.65(95% CI:0.48-0.89,P = 0.007),respectively.Among the 13 specific alleles,two(DQB1*0502 and DQB1*0602) were significantly associated with risk of HCC.The combined OR for the association of DQB1*0502 and DQB1*0602 allele with the risk for HCC was 1.82(95% CI:1.14-2.92,P = 0.01) and 0.58(95% CI:0.36-0.95,P = 0.03),respectively.No significant association was established for other HLA-DQB1 family alleles and specific alleles.CONCLUSION:Our results support the hypothesis that specific HLA-DQB1 allele families and alleles might influence the susceptibility or resistance to HCC,although it needs further investigations.

Two novel gene-specific markers at the Pik locus facilitate the application of rice blast resistant alleles in breeding

Blast,a disease caused by Magnaporthe oryzae,is a major constraint for rice production worldwide.Introgression of durable blast resistance genes into high-yielding rice cultivars has been considered a priority to control the disease.The blast resistance Pik locus,located on chromosome 11,contains at least six important resistance genes,but these genes have not been widely employed in resistance breeding since existing markers hardly satisfy current breeding needs due to their limited scope of application.In this study,two PCR-based markers,Pikp-Del and Pi1-In,were developed to target the specific In Del(insertion/deletion)of the Pik-p and Pi-1 genes,respectively.The two markers precisely distinguished Pik-p,Pi-1,and the K-type alleles at the Pik locus,which is a necessary element for functional genes from rice varieties.Results also revealed that only several old varieties contain the two genes,of which nearly half carry the K-type alleles.Therefore,these identified varieties can serve as new gene sources for developing blast resistant rice.The two newly developed markers will be highly useful for the use of Pik-p,Pi-1 and other resistance genes at the Pik locus in markerassisted selection(MAS)breeding programs.

DNA TYPING SYSTEM FOR HLA-A2 ALLELES BY POLYMERASE CHAIN REACTION WITH SEQUENCE- SPECIFIC PRIMERS

Objective. To establish a PCR- SSP method for discriminating as many HLA- A* 02 alleles, which could easily be introduced into a routine laboratory. Methods. In this study we typed HLA- A* 02 polymorphisms by a sequence- specific primer (SSP) method, which involved round 1 and round 2 PCR reactions to detect 17 HLA- A* 02 alleles (they are HLA- A* 0201- 0217 alleles) covering exon 2 and exon 3. Results. We have found that DNA sample concentration and purity were the most important variables in determining the quality of the results. For identifying correct band size, the size marker used was important. We noticed that different PCR machines performed differently. By this method, we detected 20 HLA- A* 02 positive genomic DNA samples and found 4 kinds of HLA- A* 02 alleles. They were HLA- A* 0201, 0203, 0206 and 0210. Conclusion. The HLA- A* 02 PCR- SSP method was proven to be a reliable and easily applicable typing method. Our results suggest that the SSP described here provides an optimal HLA- A* 02 typing technique that may be useful in selecting donor- recipient pairs in bone marrow transplantation between unrelated individuals.

Comparative Analysis of Machine Learning Models for Customer Churn Prediction in the U.S. Banking and Financial Services: Economic Impact and Industry-Specific Insights

Customer churn poses a significant challenge for the banking and finance industry in the United States, directly affecting profitability and market share. This study conducts a comprehensive comparative analysis of machine learning models for customer churn prediction, focusing on the U.S. context. The research evaluates the performance of logistic regression, random forest, and neural networks using industry-specific datasets, considering the economic impact and practical implications of the findings. The exploratory data analysis reveals unique patterns and trends in the U.S. banking and finance industry, such as the age distribution of customers and the prevalence of dormant accounts. The study incorporates macroeconomic factors to capture the potential influence of external conditions on customer churn behavior. The findings highlight the importance of leveraging advanced machine learning techniques and comprehensive customer data to develop effective churn prevention strategies in the U.S. context. By accurately predicting customer churn, financial institutions can proactively identify at-risk customers, implement targeted retention strategies, and optimize resource allocation. The study discusses the limitations and potential future improvements, serving as a roadmap for researchers and practitioners to further advance the field of customer churn prediction in the evolving landscape of the U.S. banking and finance industry.

A Novel Real-time Fluorescence Mutant-allele-specific Amplification Method for Rapid Single Nucleotide Polymorphism Analysis

Current methods for single nucleotide polymorphism （SNP） analysis are timeconsuming and complicated. We aimed at development of one-step real-time fluorescence mutant-allele-specific amplification （MASA） method for rapid SNP analysis. The method is a marriage of two technologies： MASA primers for target DNA and a double-stranded DNA-selective fluorescent dye, SYBR Green I. Genotypes are separated according to the different threshold cycles of the wild-type and mutant primers. K-ras oncogene was used as a target to validate the feasibility of the method. The experimental results showed that the different genotypes can be clearly discriminated by the assay. The real-time fluorescence MASA method will have an enormous potential for fast and reliable SNP analysis due to its simplicity and low cost.

Evolutionary divergence in Chenopodium and validation of SNPs in chloroplast rbcL and matK genes by allele-specific PCR for development of Chenopodium quinoa-specific markers

The genus Chenopodium comprises about 150 species, of which Chenopodium quinoa and C. album are important for their nutritional value. Evaluation of variation in qualitative morphological traits of plants and SNPs in chloroplast rbc L and mat K gene sequences in 19 accessions representing C. quinoa and C. album indicated that the accessions IC-411824 and IC-411825,which have white seeds, belong to C. quinoa rather than C. album. This observation was also supported by a time tree that indicated IC-411824 and IC-411825 to be a sister clade to accessions of C. quinoa with an estimated age of 1.2 Mya. Whereas multiple alignments of rbc L gene sequences from the 19 accessions revealed 1.26% parsimony-informative sites with 0.68%interspecific sequence diversity, alignment of nucleotide sequences of amplicons representing the mat K gene revealed 4.97% parsimony-informative sites and 2.81% interspecific sequence diversity. Validation of SNPs in the cp rbc L and mat K regions of 36 accessions belonging to C. quinoa and C. album was performed by allele-specific PCR with primers carrying a single base change at the 3′ end. We report the first C. quinoa-specific SNP-based primer, R1RQ-AFR,designed from rbc L sequences, that could differentiate quinoa from 64 genera including13 species of the genus Chenopodium. With an estimated age of 10.5–4.1 million years(Myr), the Himalayan chenopods are evolutionarily younger than the Andean chenopods. The results establish the paraphyletic origin of the genus Chenopodium.

Allele-Specific Effects on Extracellular Superoxide Dismutase Synthesis and Secretion

Plasma extracellular superoxide dismutase (ecSOD) concentrations are significantly (2 - 3-fold) higher in 129 mice than in the C57 strain. We reported earlier that the 129 strain carries a different allele of this enzyme, characterized by two amino acid substitutions and a 10 bp deletion in the 3’UTR of the mRNA. One of the substitutions is at the signal peptide cleavage site (position 21) while the other is within the catalytic site. Since the differences in plasma enzyme concentrations persist in congenic mice expressing the different alleles, the differences in plasma concentrations appear to be largely allele-driven and independent of the remainder of the genome. As expected, in vitro translation using rabbit reticulocyte lysate showed no differences in translational efficiency of transcripts and processing of the newly synthesized enzymes. Determinations of the rates of synthesis and secretion of the two isoforms of this enzyme in stably transfected CHO cells clearly demonstrate that the mature 129 variant is synthesized at rates nearly twice those of the wild-type isoform and has an intracellular pool size twice as large. However, both isoforms are secreted at the same fractional rate and have identical intracellular T1/2 as well as similar extent of degradation. These data explain, at least partially, the higher levels of ecSOD in congenic mice expressing the 129 variant, as well as enzyme levels in the 129 strain of mice. In silico calculations support this conclusion and indicate that the aa change at the signal peptide cleavage site (N21D) results in a substantial increase in cleavage probability at this site for the 129 variant. Our results also highlight the importance of signal peptide cleavage in determining steady-state levels of secretory proteins.

Allele-specific expression analyses reveal immune divergences between ibex and goat species

DEAR EDITOR,Understanding the different immune responses of wild and domestic caprid species is critical for addressing certain zoonotic diseases.In this study,we generated blood transcriptomes of 13 Siberian ibex and domestic goat hybrids and performed allele-specific expression and splicing analyses.Results showed that genes exhibiting significant imbalance between the ibex and goat were highly related to the Toll-like receptor(TLR),antigen recognition,and immune activation pathways.Comparative genomic analysis of the species revealed that immune function-related genes were under strong selection pressure in the domestic goat.

Allele-specific amplification and electrochemiluminescence method for single nucleotide polymorphism analysis

A new approach combined the specificity of allele-specific amplification （ASA） with the sensitivity of electrochemiluminescence （ECL） assay for single nucleotide polymorphism （SNP） analysis was proposed. Briefly, target gene was amplified by a biotin-labeled allele-specific forward primer and a Ru（bpy）3 ^2＋（TBR）-labeled universal reverse primer. Then, the amplicon was captured onto streptavidin-coated paramagnetic beads through biotin label, and detected by measuring the ECL signal of TBR label. Different genotypes were distinguished according to the ECL values of the amplicons by different genotypic primers. K-ras oncogene was used as a target to validate the feasibility of the method. The experiment results show that the different genotypes can be clearly distinguished by ASA-ECL assay. The method is useful in SNP analysis due to its sensitivity,safety, and simplicity.