Purpose: The diagnosis and management of cardiovascular diseases are important for pilots, as well as the assessment of workload. Heart rate variability (HRV) can be evaluated from electrocardiography (ECG) signals during flight phases to assess the activation of the autonomic nervous system. Methods: In this study, continuous ECG activity was recorded of one pilot who flied as a pilot flying during a 4-hour long round trip using wearable ECG machine and was analyzed with MATLAB (R2020b ver. 9.9, The Mathworks Inc.). Total flight was divided into five phases: preflight, take off, cruise, landing, and postflight. Results: Mean heart rate (HR) was lowest in the postflight phase (76 bpm), and highest in the landing phase (86 bpm). Landing phase showed the highest values in standard deviation of NN interval (59.3 ms), triangular index (11.7), and triangular interpolation of NN interval (195 ms), while the postflight phase had highest root mean square of successive difference (20.5 ms) and proportion of successive RR interval (3.4 ms). As for frequency-domain metrics, the landing phase had the highest lowfrequency/high-frequency ratio of 5.33. Among the non-linear HRV measures, the landing phase presented the lowest SD1/SD2 ratio (0.15). Conclusion We observed the relative increase of mean HR and change of HRV in the landing phase, indicating elevated sympathetic nervous tone. Further studies should be considered to evaluate specific changes of ECG signals in flight phases and confirm the clinical use of the MATLAB signal analysis tools.

Purpose: The diagnosis and management of cardiovascular diseases are important for pilots, as well as the assessment of workload. Heart rate variability (HRV) can be evaluated from electrocardiography (ECG) signals during flight phases to assess the activation of the autonomic nervous system. Methods: In this study, continuous ECG activity was recorded of one pilot who flied as a pilot flying during a 4-hour long round trip using wearable ECG machine and was analyzed with MATLAB (R2020b ver. 9.9, The Mathworks Inc.). Total flight was divided into five phases: preflight, take off, cruise, landing, and postflight. Results: Mean heart rate (HR) was lowest in the postflight phase (76 bpm), and highest in the landing phase (86 bpm). Landing phase showed the highest values in standard deviation of NN interval (59.3 ms), triangular index (11.7), and triangular interpolation of NN interval (195 ms), while the postflight phase had highest root mean square of successive difference (20.5 ms) and proportion of successive RR interval (3.4 ms). As for frequency-domain metrics, the landing phase had the highest lowfrequency/high-frequency ratio of 5.33. Among the non-linear HRV measures, the landing phase presented the lowest SD1/SD2 ratio (0.15). Conclusion We observed the relative increase of mean HR and change of HRV in the landing phase, indicating elevated sympathetic nervous tone. Further studies should be considered to evaluate specific changes of ECG signals in flight phases and confirm the clinical use of the MATLAB signal analysis tools.

Purpose: The diagnosis and management of cardiovascular diseases are important for pilots, as well as the assessment of workload. Heart rate variability (HRV) can be evaluated from electrocardiography (ECG) signals during flight phases to assess the activation of the autonomic nervous system. Methods: In this study, continuous ECG activity was recorded of one pilot who flied as a pilot flying during a 4-hour long round trip using wearable ECG machine and was analyzed with MATLAB (R2020b ver. 9.9, The Mathworks Inc.). Total flight was divided into five phases: preflight, take off, cruise, landing, and postflight. Results: Mean heart rate (HR) was lowest in the postflight phase (76 bpm), and highest in the landing phase (86 bpm). Landing phase showed the highest values in standard deviation of NN interval (59.3 ms), triangular index (11.7), and triangular interpolation of NN interval (195 ms), while the postflight phase had highest root mean square of successive difference (20.5 ms) and proportion of successive RR interval (3.4 ms). As for frequency-domain metrics, the landing phase had the highest lowfrequency/high-frequency ratio of 5.33. Among the non-linear HRV measures, the landing phase presented the lowest SD1/SD2 ratio (0.15). Conclusion We observed the relative increase of mean HR and change of HRV in the landing phase, indicating elevated sympathetic nervous tone. Further studies should be considered to evaluate specific changes of ECG signals in flight phases and confirm the clinical use of the MATLAB signal analysis tools.

Purpose: The diagnosis and management of cardiovascular diseases are important for pilots, as well as the assessment of workload. Heart rate variability (HRV) can be evaluated from electrocardiography (ECG) signals during flight phases to assess the activation of the autonomic nervous system. Methods: In this study, continuous ECG activity was recorded of one pilot who flied as a pilot flying during a 4-hour long round trip using wearable ECG machine and was analyzed with MATLAB (R2020b ver. 9.9, The Mathworks Inc.). Total flight was divided into five phases: preflight, take off, cruise, landing, and postflight. Results: Mean heart rate (HR) was lowest in the postflight phase (76 bpm), and highest in the landing phase (86 bpm). Landing phase showed the highest values in standard deviation of NN interval (59.3 ms), triangular index (11.7), and triangular interpolation of NN interval (195 ms), while the postflight phase had highest root mean square of successive difference (20.5 ms) and proportion of successive RR interval (3.4 ms). As for frequency-domain metrics, the landing phase had the highest lowfrequency/high-frequency ratio of 5.33. Among the non-linear HRV measures, the landing phase presented the lowest SD1/SD2 ratio (0.15). Conclusion We observed the relative increase of mean HR and change of HRV in the landing phase, indicating elevated sympathetic nervous tone. Further studies should be considered to evaluate specific changes of ECG signals in flight phases and confirm the clinical use of the MATLAB signal analysis tools.

Purpose: The diagnosis and management of cardiovascular diseases are important for pilots, as well as the assessment of workload. Heart rate variability (HRV) can be evaluated from electrocardiography (ECG) signals during flight phases to assess the activation of the autonomic nervous system. Methods: In this study, continuous ECG activity was recorded of one pilot who flied as a pilot flying during a 4-hour long round trip using wearable ECG machine and was analyzed with MATLAB (R2020b ver. 9.9, The Mathworks Inc.). Total flight was divided into five phases: preflight, take off, cruise, landing, and postflight. Results: Mean heart rate (HR) was lowest in the postflight phase (76 bpm), and highest in the landing phase (86 bpm). Landing phase showed the highest values in standard deviation of NN interval (59.3 ms), triangular index (11.7), and triangular interpolation of NN interval (195 ms), while the postflight phase had highest root mean square of successive difference (20.5 ms) and proportion of successive RR interval (3.4 ms). As for frequency-domain metrics, the landing phase had the highest lowfrequency/high-frequency ratio of 5.33. Among the non-linear HRV measures, the landing phase presented the lowest SD1/SD2 ratio (0.15). Conclusion We observed the relative increase of mean HR and change of HRV in the landing phase, indicating elevated sympathetic nervous tone. Further studies should be considered to evaluate specific changes of ECG signals in flight phases and confirm the clinical use of the MATLAB signal analysis tools.

Various trials have been conducted to develop therapies for serious untreatable diseases. Among these, those using stem cells have shown great promise, and adipose-derived mesenchymal stem cells (ADMSCs) are easier to obtain than other types of stem cells. Prior to clinical trials, characterization of ADMSCs with monoclonal antibodies should be performed. However, it is difficult to use species-specific antibodies for veterinarians. This study was conducted to confirm the panel of human antibodies applicable for use in immunophenotypic characterization of canine adipose-derived stem cells and feline ADMSCs extracted from subcutaneous adipose tissue collected during ovariohysterectomy. For flow cytometric immunophenotyping, the third passages of canine ADMSC and feline ADMSC and human CD31, CD34, CD42, CD44, CD62 and CD133 antibodies were used. Of these, CD133 reacted with canine cells (3.74%) and feline cells (1.34%). CD133 is known as a marker related with more primitive stem cell phenotype than other CD series. Because this human CD133 was not a species-specific antibody, accurate percentages of immunoreactivity were not confirmed. Nevertheless, the results of this study confirmed human CD133 as a meaningful marker in canine and feline ADMSCs.
Animals ; Antibodies ; Antibodies, Monoclonal ; Cats ; Dogs ; Humans ; Immunophenotyping ; Mesenchymal Stromal Cells ; Phenotype ; Stem Cells ; Subcutaneous Fat ; Veterinarians

Various trials have been conducted to develop therapies for serious untreatable diseases. Among these, those using stem cells have shown great promise, and adipose-derived mesenchymal stem cells (ADMSCs) are easier to obtain than other types of stem cells. Prior to clinical trials, characterization of ADMSCs with monoclonal antibodies should be performed. However, it is difficult to use species-specific antibodies for veterinarians. This study was conducted to confirm the panel of human antibodies applicable for use in immunophenotypic characterization of canine adipose-derived stem cells and feline ADMSCs extracted from subcutaneous adipose tissue collected during ovariohysterectomy. For flow cytometric immunophenotyping, the third passages of canine ADMSC and feline ADMSC and human CD31, CD34, CD42, CD44, CD62 and CD133 antibodies were used. Of these, CD133 reacted with canine cells (3.74%) and feline cells (1.34%). CD133 is known as a marker related with more primitive stem cell phenotype than other CD series. Because this human CD133 was not a species-specific antibody, accurate percentages of immunoreactivity were not confirmed. Nevertheless, the results of this study confirmed human CD133 as a meaningful marker in canine and feline ADMSCs.

Adipose-derived stem cells (ASCs) are believed to have potential use for treating many illnesses. Most cells, including ASCs, are generally cultured in medium containing fetal bovine serum (FBS). However, FBS, which could induce an immune response or infection, is not recommended for clinical applications. In the present study, we evaluated the morphology, proliferation rate, and characterization of rabbit ASCs grown in medium containing autologous serum (AS) and compared these cells to ones cultured with FBS. Morphological changes were monitored by microscopy and flow cytometry. Proliferation rates were assessed with cell counting and ASC phenotypes were characterized by flow cytometry using representative surface markers (CD44 and CD45). Expression of epidermal growth factor, brain-derived neurotrophic factor, and vascular endothelial growth factor was measured by reverse transcription-polymerase chain reaction. Results of our study showed that ASCs had a greater expansion rate in AS without developing morphological heterogeneity than cells grown in FBS. AS-cultured ASCs expressed representative growth factors, CD44 but not CD45, similar to cells cultured in FBS. Expression levels of some growth factors were different between AS and FBS. In conclusion, our findings indicated that AS could potentially be used as a culture medium supplement for the expansion of autologous ASCs.
Brain-Derived Neurotrophic Factor ; Bystander Effect ; Cell Count ; Epidermal Growth Factor ; Flow Cytometry ; Intercellular Signaling Peptides and Proteins ; Microscopy ; Phenotype ; Population Characteristics ; Stem Cells ; Vascular Endothelial Growth Factor A

Lichen sclerosus (LS) refers to a benign, chronic, progressive dermatologic condition that primarily causes anogenital lesions in middle aged women. But LS has been identifi ed in patients of all ages including those in the fi rst years of life. The risk of squamous cell carcinoma of the vulva is 4% to 5% in women with LS, and has been reported to be as high as 7% in some reviews. We recently encountered a case of LS in a post-menopausal woman without hormone therapy. To remind clinicians of the neglected issue of LS, we report a case of LS with literature review.
Carcinoma, Squamous Cell ; Female ; Humans ; Lichen Sclerosus et Atrophicus ; Lichens ; Middle Aged ; Postmenopause ; Vulva

The term rete ovarian cyst has been used mostly in animal pathology. Cysts of the ovarian hilus have been reported in experimental animals, but have not received attention in human beings. In the literature review, most women with these cysts were postmenopausal and the cysts were not malignancy. But, there have been some reports of hormonal imbalance associated with these cysts. This article reports the clinicopatholgical findings of a case of ovarian rete cyst in postmenopausal woman with some literature review.
Animals ; Female ; Humans ; Ovarian Cysts ; Ovary ; Postmenopause