March 7th, 2025
Here, we present a protocol to assess glycemic control using capillary blood glucose (CBG) and glycated hemoglobin A1C (HbA1C) levels. This study investigates the impact of hyperglycemia on knee osteoarthritis (KOA) symptoms, physical performance, physical activity level, radiographic severity, and inflammation in older adults with diabetes.
This study aims to explore the association between hyperglycemia and knee osteoarthritis-related symptoms, physical performance, physical activity levels, radiographic severities, and inflammation in older adults. We compare the measurements of glycemic control and glycemic status based on glycated hemoglobin and capillary blood glucose level. Our findings highlight the complex interaction between glycemic control, obesities, anti-diabetic medications, and functional outcomes in knee osteoarthritis. Identify obesity as confounders and positive impacts of medication on muscles might improve patient management. In the future, we'll focus on investigating the associations of parameter involved with more extensive inflammatory mediators to better map the underlying mechanisms of hyperglycemia in related knee osteoarthritis. Future study might also elucidate the culture relationship by observing long-term glycemic trends.
[Narrator] To begin, collect the participant's sociodemographic, KOOS, and international physical activity questionnaire data. For physical performance evaluation, first measure the participant's height with a stadiometer and obtain body weight and body mass index with a body composition analyzer. Then measure the participant's waist, hip, and calf circumference using a measuring tape. For the hand grip strength test, let the participant sit with shoulders adducted in a neutral position and the elbow flexed at 90 degrees Using a hand grip dynamometer, measure the maximum hand grip strength for each hand three times and select the greatest measurement in kilograms. To perform the timed-up-and-go test, instruct the participant to sit up straight with their back in contact with the back of the chair, arms resting on the armrests, and feet flat on the ground. Using a stopwatch, record the time taken for the participant to stand up, walk three meters, make a U-turn, walk back, and sit down. For the gait speed test, measure a 10-meter walkway and mark points two meters from each end with adhesive tape to indicate measurement start and finish points. Instruct participants to walk at their normal pace along the 10-meter walkway. Start the timer as they cross the two-meter mark and stop it as they cross the eight-meter mark. To conduct the sit-to-stand test, instruct the participant to stand up and sit down five times as fast as possible while maintaining balance. Record the time taken to complete five repetitions and select the lowest time in seconds from three trials For blood collection, wash hands and put on surgical gloves. Clean the participant's finger with an alcohol swab and allow it to air-dry. To prepare the glucometer, insert the test strip, select a lancet device, and ensure it is unused and sealed. Break the seal and prick the finger with the lancet device. Squeeze the finger to produce a small bleb of blood and touch the drop to the test strip. Discard the used lancet safely into a sharps bin. After recording the blood glucose level, ask the participant when their last meal was and note whether it was taken more than eight hours before sampling. For venous blood collection, apply a tourniquet to the upper arm and identify a suitable vein in the antecubital fossa of the right or left arm by palpation. Clean the skin around the selected vein with an alcohol swab and allow it to air-dry. Collect venous blood samples using a 23-gauge butterfly needle into two 6-milliliter plain blood tubes. Label the tubes with the participant's unique identification code. Transport the blood samples to the laboratory in a cooler with an ice pack. Centrifuge the blood samples at 604 g for 10 minutes. Aliquot the serum into labeled 1.5-milliliter micro-centrifuge tubes using a micro pipette and store them at -80 degrees Celsius. Follow the serum and bring ELISA reagents to room temperature. Label micro-centrifuge tubes for standards, samples, and blanks. Prepare working solutions for diluent, detection antibodies, substrate, and washing buffer from the stock solutions, as per the manufacturer's instructions. Perform twofold serial dilution for the standards using the provided standard diluent. Seal the plate with a new adhesive cover for each incubation and incubate the samples according to the manufacturer's manual for the recommended time and temperature. For this sandwich ELISA, incubate the sample and standard in pre-coated wells. Decant and wash wells with wash buffer between incubations, as per the manufacturer's manual. Tap the wells against clean absorbent paper to remove excess wash buffer, ensuring they do not dry out before adding the next solution. Read the wells with a microplate reader set to 450 nanometers A correlation matrix that illustrated the relationships between key variables providing insight into potential interdependencies was obtained. Euglycemic and hyperglycemic groups associated partially in pain, symptoms, and differed significantly with five times sit-to-stand test while glycemic control was associated partially with five times sit-to-stand test and gait speed. No significant links were found between other physical activity levels and glycemic status or glycemic control. The glycemic control groups differed significantly in their serum AGE levels before adjustment.
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This study investigates the relationship between hyperglycemia and knee osteoarthritis (KOA) symptoms, physical performance, and inflammation in older adults. It assesses glycemic control through capillary blood glucose (CBG) and glycated hemoglobin A1C (HbA1C) levels.
Quantitative assessment of glycemic status and its impact on knee osteoarthritis (KOA) symptoms provides actionable insights for early-stage target validation in metabolic-inflammation research. Integrating capillary blood glucose and HbA1C measurements with physical and inflammatory markers enables mechanistic de-risking and supports predictive confidence in translational biomarker development. These findings inform portfolio decisions at the intersection of metabolic disease and musculoskeletal health in aging populations.
This workflow positions glycemic and inflammatory marker assessment as a bridge from early discovery to preclinical model validation in metabolic and musculoskeletal research.