Antibodies against hemoglobulin C (alpha2beta2 6Glu leads to Lys) were produced by immunizing horses and were purified by affinity chromatography. As expected from the bivalency of both the antibody and the antigen, the purified antibodies failed to produce immunoprecipitates upon reaction with the corresponding antigens. Identification of hemoglobin C in individual erythrocytes was achieved by reacting the fluorescein isothiocyanate-conjugated antibodies with the hemoglobin antigen in fixed smears of peripheral blood. Red cells from persons having a hemoglobin C gene were labeled strongly upon reaction with anti-Hb C-FITC; there was no labeling of red cells containing normal hemoglobins or Hb S, suggesting that the anti-Hb C antibodies recognize only the amino-terminal segment of the beta chains that contain lysine in position beta6.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1002/ajh.2830020202 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Risk Factors for Gastrointestinal Bleeding in Patients With Acute Myocardial Infarction: Multicenter Retrospective Cohort Study.
J Med Internet Res
January 2025
Department of Gastroenterology, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Background: Gastrointestinal bleeding (GIB) is a severe and potentially life-threatening complication in patients with acute myocardial infarction (AMI), significantly affecting prognosis during hospitalization. Early identification of high-risk patients is essential to reduce complications, improve outcomes, and guide clinical decision-making.
Objective: This study aimed to develop and validate a machine learning (ML)-based model for predicting in-hospital GIB in patients with AMI, identify key risk factors, and evaluate the clinical applicability of the model for risk stratification and decision support.
Establishment and validation of a nomogram for coronary artery lesions in children with Kawasaki disease.
Front Cardiovasc Med
January 2025
Clinical Laboratory, Children's Hospital Affiliated to Shandong University, Jinan, China.
Background: The nomogram is a powerful and robust tool in disease risk prediction that summarizes complex variables into a visual model that is interpretable with a quantified risk probability. In the current study, a nomogram was developed to predict the occurrence of coronary artery lesions (CALs) among patients with Kawasaki disease (KD). This is especially valuable in the early identification of the risk of CALs, which will lead to proper diagnosis and treatment to reduce their associated complications.
View Article and Find Full Text PDFFetal hematological phenotypes of various hemoglobinopathies and demonstration of embryonic hemoglobins on capillary electrophoresis: a large cohort data from prenatal screening program.
Diagnosis (Berl)
January 2025
Faculty of Associated Medical Sciences, Centre for Research and Development of Medical Diagnostic Laboratories, Khon Kaen University, Khon Kaen, Thailand.
Objectives: This study reported a large cohort of fetal blood analysis of various hemoglobinopathies.
Methods: A total of 371 fetal blood specimens were recruited. Complete blood count and hemoglobin (Hb) analysis using capillary electrophoresis were performed.
Effect of nutrition education and iron-folic acid supplementation on anemia among pregnant women in Ethiopia: a quasi-experimental study.
Sci Rep
January 2025
Butajira City Administration Health Office, Gurage Zone, Ethiopia.
The aim of this study was to assess the effect of nutrition education and counseling using health belief health model constructs along with iron-folic acid supplementation on hemoglobin level and adherence to IFAs during pregnancy. The study was a three-month quasi-experimental study design in Butajira town, Ethiopia. Community-based nutrition education and counseling sessions using the Health belief model, and IFAS for six weeks were given to the pregnant women.
View Article and Find Full Text PDFIdentification of CD209 as an Intervention Target for Type 2 Diabetes after COVID-19 Infection: Insights from Proteome-wide Mendelian Randomization.
Diabetes
January 2025
School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, China.
Increasing evidence suggests that individuals infected with Coronavirus disease 2019 (COVID-19) are at a higher risk of developing type 2 diabetes (T2D) compared to those who are not infected. However, the mechanisms underlying this relationship remain poorly understood. In this study, we aimed to systematically evaluate the mediating roles of 3,283 plasma proteins in the link between COVID-19 susceptibility and T2D by conducting proteome-wide Mendelian randomization (MR) analyses.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!