1.Cardiopulmonary response during supine and sitting bicycle exercise.
TETSUYA TAKAHASHI ; KAZUHIKO TANABE ; MASARU NAKAYAMA ; NAOHIKO OSADA ; SUMIO YAMADA ; TOMOYASU ISHIGURO ; HARUKI ITOH ; MASAHIRO MURAYAMA
Japanese Journal of Physical Fitness and Sports Medicine 1995;44(1):105-112
The difference in cardiopulmonary response between supine exercise and sitting exercise was assessed by the following protocols.
1) Cardiopulmonary exercise testing utilizing the ramp protocol with a bicycle ergometer (20 W/min) was performed by nine healthy Japanese men (mean age, 19.9 yr) in a sitting and a supine position. Oxygen uptake, heart rate and blood pressure were measured during the test. Blood was sampled in order to measure noradrenaline (NA) and angiotensin II (ANG II) in the resting control state and immediately after exercise.
2) Single-level exercise testing at 100 W was performed on another day. The cardiac index (CI) was computed from the cardiac output, which was measured using the dye-dilution method in the resting control state and during exercise.
The results were as follows:
1) Heart rate and blood pressure during exercise had a tendency to be lower in the supine position compared to the sitting position, although not significantly.
2) Anaerobic threshold (AT) was lower in the supine position than in the sitting position exercise, (18.3±2.6 ml/kg/min and 21.7±1.9 ml/kg/min, respectively) .
3) NA and ANG II in the supine position were slightly lower than in the sitting position.
4) At rest, the CI in the sitting position was significantly less than in the supine position; however, the CI during the 100 W exercises was the same in both the supine and sitting positions.
It is concluded that blood flow to active muscle during 100W exercise is lower in the supine than in the sitting position. This is thought to be due to changes in blood redistribution and lowered blood flow to active muscle in the supine position, creating a lower AT.
2.Classification of Therapeutic Antibodies Based on the Analysis of Their Side Effects
Yuta OKUMURA ; Satoru GOTO ; Masahiro ISHIGURO ; Megumi MINAMIDE ; Kanji HASEGAWA ; Yasunari MANO ; Tomohiro TSUCHIDA
Japanese Journal of Drug Informatics 2024;26(2):57-64
Objective: Therapeutic antibodies have few varieties of side effects due to their high specificity; however, many therapeutic antibodies have serious side effects. A thorough understanding of the side effects is crucial for early recognition and optimal management. To facilitate the understanding of the side effects of therapeutic antibodies, this study attempted to classify therapeutic antibodies based on their side effects using principal component analysis (PCA) and cluster analysis. Method: We collected data on the serious side effects of therapeutic antibodies from package inserts and created a therapeutic antibody-side effect matrix, with therapeutic antibodies as indices and side effects as columns. PCA was performed on the therapeutic antibody-side effect matrix, and hierarchical cluster analysis was performed using principal components. Results: The therapeutic antibodies were classified into four clusters. Cluster 1 included immune checkpoint inhibitors, and featured type 1 diabetes, thyroid disorder, and myasthenia gravis. Cluster 2 included antibodies that inhibit the vascular endothelial growth factor pathway, and featured impaired wound healing, nephrotic syndrome, and thrombosis. Cluster 3 included anti-epidermal growth factor receptor antibodies, and featured diarrhea, hypomagnesemia, and skin disorders. Cluster 4 included other therapeutic antibodies, and featured infection, bone marrow suppression, and hypersensitivity. Conclusion: Therapeutic antibodies can be classified based on their side effects. The results of this study make it easier to understand the side effects of therapeutic antibodies with complex profiles. A better understanding facilitates early detection of side effects and enables high-quality management of side effects.