Responses of mouse lymphocytes to the soybean paste fermented by Korean traditional fashion was examined to clarify its effects in cytokine production in vitro. A fraction of the soybean paste (KFSP-100) was prepared by precipitation with ammonium sulfate and by filtration through ultrafiltration membrane. KFSP-100 were added into cultures of fresh mouse splenic cells in vitro. KFSP-100 significantly enhanced the amount of IL-6 and TNF-a produced by macrophages and IL-6 and IFN-r produced by lymphocytes. Production of IL-12 by macrophages was not much affected by KFSP-100 treatments. The most noticeable finding was the fact that lymphocytes treated with KFSP-100 proliferated to an exceeding numbers (more than 10 times to the control) in 72 hours. The KFSP-100-induced proliferative response was specific to B cells since almost all of the KFSP-100-induced cells in the cultures of splenic cells were B cells. Furthermore, such a proliferative responses were equally observed only in cultures of purified B cells but not in cultures of T cells. In thermostability test, the biologically active components of the KFSP-100 is assumed to be either linear protein or glycoprotein. KFSP-100 did not induce agglutination of lymphocytes demonstrated by lectins in the same cells. These observations suggest that KFSP-100 may be a novel mitogen for B lymphocytes. The component (s) responsible for the B cell proliferation in KFSP-100 might be a factor gained by natural fermentation. None of the fractions of not fermented soybean paste prepared by the same methods demonstrate the same effect.
Agglutination ; Ammonium Sulfate ; Animals ; B-Lymphocytes ; Cell Proliferation ; Fermentation ; Filtration ; Glycoproteins ; Immunologic Factors* ; Interleukin-12 ; Interleukin-6 ; Lectins ; Lymphocytes ; Macrophages ; Membranes ; Mice ; Soybeans* ; T-Lymphocytes ; Ultrafiltration

No abstract available.
Shoulder*

PURPOSE: To compare the results of posterior cruciate ligament reconstruction by open and arthroscopic method. MATERIALS AND METHODS: From 1995 to 1997, 18 reconstructions of posterior cruciate ligament were performed. Group 1 (open method) was composed of 9 cases and group 2 (arthroscopic method) was consisted of 9 cases. After 21-month follow-up, The two groups were compared by clinical and radiologic methods. RESULTS: Clinically, Lysholm knee score was 80 points in group 1 and 83 points in group 2 after operation. Post operative results by Hughston's criteria were good in 5, fair in 2 and poor in 2 cases (group 1) and good in 6, fair in 2 and poor in 1 cases (group 2). Radiologically, post operative average of posterior drawer stress view was 5.2 mm (group 1) and 5.0 mm (group 2). Almost double the operation time was taken to reconstruct posterior cruciate ligament by arthroscopic method than open method. There were technical errors in 2 cases performed by arthroscopic method. CONCLUSIONS: The results of both methods had no significant difference. We think that the reconstruction of PCL using patellar tendon by open method is a recommendable treatment method together with arthroscopic method, if the merits or demerits of both methods are considered carefully. But more long-term follow-up is necessary to compare the results of PCL reconstruction by open and arthroscopic methods.
Follow-Up Studies ; Knee ; Patellar Ligament ; Posterior Cruciate Ligament

One of the biggest change in the history of the Journal of Korean Neurosurgical Society(JKNS) had been introduced in 2005. From January 2005, all manuscripts submitted to JKNS should be written in English. This new regulation was followed by many changes in characteristics of the papers published on JKNS in 2005. The authors present an analysis of papers published on JKNS and compared with those of 2004 and 2003. In total, 184 articles were published in 2005. Since a review article was requested by the editorial office to the authors, 183 articles were peer reviewed. Eighty five clinical articles, 75 case reports, 19 laboratory investigations, two special articles and two technical reports were printed. This distribution was not statistically different from 2004's distribution (p=0.67), even though the ratio of clinical articles was decreased to 46.4% from 54.4%. Due to the change in language specification, English articles were increased with statistical significance (p<0.001). There were several events related with copyright of the contents of the papers published on JKNS. We think these are some good points came with change in official language to English. General trends of the papers seemed to be in the right way.
Copyright ; Peer Review

OBJECTIVE: We wanted to evaluate the impact of two reconstruction algorithms (halfscan and multisector) on the image quality and the accuracy of measuring the severity of coronary stenoses by using a pulsating cardiac phantom with different heart rates (HRs). MATERIALS AND METHODS: Simulated coronary arteries with different stenotic severities (25, 50, 75%) and different luminal diameters (3, 4, 5 mm) were scanned with a fixed pitch of 0.16 and a 0.35 second gantry rotation time on a 64-slice multidetector CT. Both reconstruction algorithms (halfscan and multisector) were applied to HRs of 40-120 beats per minute (bpm) at 10 bpm intervals. Three experienced radiologists visually assessed the image quality and they manually measured the stenotic severity. RESULTS: Fewer measurement errors occurred with multisector reconstruction (p = 0.05), a slower HR (p < 0.001) and a larger luminal diameter (p = 0.014); measurement errors were not related with the observers or the stenotic severity. There was no significant difference in measurements as for the reconstruction algorithms below an HR of 70 bpm. More nonassessable segments were visualized with halfscan reconstruction (p = 0.004) and higher HRs (p < 0.001). Halfscan reconstruction had better quality scores when the HR was below 60 bpm, while multisector reconstruction had better quality scores when the HR was above 90 bpm. For the HRs between 60 and 90 bpm, both reconstruction modes had similar quality scores. With excluding the nonassessable segments, both reconstruction algorithms achieved a similar mean measured stenotic severity and similar standard deviations. CONCLUSION: At a higher HR (above 90 bpm), multisector reconstruction had better temporal resolution, fewer nonassessable segments, better quality scores and better accuracy of measuring the stenotic severity in this phantom study.
*Algorithms ; Artifacts ; Computer Simulation ; Coronary Angiography/*methods ; Coronary Stenosis/*radiography ; Electrocardiography ; *Heart Rate ; Image Processing, Computer-Assisted/*methods ; Models, Cardiovascular ; Observer Variation ; Phantoms, Imaging ; Reproducibility of Results ; Severity of Illness Index ; Tomography, Spiral Computed/*methods

Objective: Executive function correlates with the parasympathetic nervous system (PNS) based on static heart rate variability (HRV) measurements. Our study advances this understanding by employing dynamic assessments of the PNS to explore and quantify its relationship with inhibitory control (IC). Methods: We recruited 31 men aged 20–35 years. We monitored their electrocardiogram (ECG) signals during the administration of the Conners’ Continuous Performance Test-II (CCPT-II) on a weekly basis over 2 weeks. HRV analysis was performed on ECG-derived RR intervals using 5-minute windows, each overlapping for the next 4 minutes to establish 1-minute intervals. For each time window, the HRV metrics extracted were: mean RR intervals, standard deviation of NN intervals (SDNN), low-frequency power with logarithm (lnLF), and high-frequency power with logarithm (lnHF). Each value was correlated with detectability and compared to the corresponding baseline value at t0. Results: Compared with the baseline level, SDNN and lnLF showed marked decreases during CCPT-II. The mean values of HRV showed significant correlation with d’, including mean SDNN (R=0.474, p=0.012), mean lnLF (R=0.390, p=0.045), and mean lnHF (R=0.400, p=0.032). In the 14th time window, the significant correlations included SDNN (R=0.578, p=0.002), lnLF (R=0.493, p=0.012), and lnHF (R=0.432, p=0.031). Significant correlation between d’ and HRV parameters emerged only during the initial CCPT-II. Conclusion A significant correlation between PNS and IC was observed in the first session alone. The IC in the repeated CCPT-II needs to consider the broader neural network.

Objective: Executive function correlates with the parasympathetic nervous system (PNS) based on static heart rate variability (HRV) measurements. Our study advances this understanding by employing dynamic assessments of the PNS to explore and quantify its relationship with inhibitory control (IC). Methods: We recruited 31 men aged 20–35 years. We monitored their electrocardiogram (ECG) signals during the administration of the Conners’ Continuous Performance Test-II (CCPT-II) on a weekly basis over 2 weeks. HRV analysis was performed on ECG-derived RR intervals using 5-minute windows, each overlapping for the next 4 minutes to establish 1-minute intervals. For each time window, the HRV metrics extracted were: mean RR intervals, standard deviation of NN intervals (SDNN), low-frequency power with logarithm (lnLF), and high-frequency power with logarithm (lnHF). Each value was correlated with detectability and compared to the corresponding baseline value at t0. Results: Compared with the baseline level, SDNN and lnLF showed marked decreases during CCPT-II. The mean values of HRV showed significant correlation with d’, including mean SDNN (R=0.474, p=0.012), mean lnLF (R=0.390, p=0.045), and mean lnHF (R=0.400, p=0.032). In the 14th time window, the significant correlations included SDNN (R=0.578, p=0.002), lnLF (R=0.493, p=0.012), and lnHF (R=0.432, p=0.031). Significant correlation between d’ and HRV parameters emerged only during the initial CCPT-II. Conclusion A significant correlation between PNS and IC was observed in the first session alone. The IC in the repeated CCPT-II needs to consider the broader neural network.

Objective: Executive function correlates with the parasympathetic nervous system (PNS) based on static heart rate variability (HRV) measurements. Our study advances this understanding by employing dynamic assessments of the PNS to explore and quantify its relationship with inhibitory control (IC). Methods: We recruited 31 men aged 20–35 years. We monitored their electrocardiogram (ECG) signals during the administration of the Conners’ Continuous Performance Test-II (CCPT-II) on a weekly basis over 2 weeks. HRV analysis was performed on ECG-derived RR intervals using 5-minute windows, each overlapping for the next 4 minutes to establish 1-minute intervals. For each time window, the HRV metrics extracted were: mean RR intervals, standard deviation of NN intervals (SDNN), low-frequency power with logarithm (lnLF), and high-frequency power with logarithm (lnHF). Each value was correlated with detectability and compared to the corresponding baseline value at t0. Results: Compared with the baseline level, SDNN and lnLF showed marked decreases during CCPT-II. The mean values of HRV showed significant correlation with d’, including mean SDNN (R=0.474, p=0.012), mean lnLF (R=0.390, p=0.045), and mean lnHF (R=0.400, p=0.032). In the 14th time window, the significant correlations included SDNN (R=0.578, p=0.002), lnLF (R=0.493, p=0.012), and lnHF (R=0.432, p=0.031). Significant correlation between d’ and HRV parameters emerged only during the initial CCPT-II. Conclusion A significant correlation between PNS and IC was observed in the first session alone. The IC in the repeated CCPT-II needs to consider the broader neural network.

Objective: Executive function correlates with the parasympathetic nervous system (PNS) based on static heart rate variability (HRV) measurements. Our study advances this understanding by employing dynamic assessments of the PNS to explore and quantify its relationship with inhibitory control (IC). Methods: We recruited 31 men aged 20–35 years. We monitored their electrocardiogram (ECG) signals during the administration of the Conners’ Continuous Performance Test-II (CCPT-II) on a weekly basis over 2 weeks. HRV analysis was performed on ECG-derived RR intervals using 5-minute windows, each overlapping for the next 4 minutes to establish 1-minute intervals. For each time window, the HRV metrics extracted were: mean RR intervals, standard deviation of NN intervals (SDNN), low-frequency power with logarithm (lnLF), and high-frequency power with logarithm (lnHF). Each value was correlated with detectability and compared to the corresponding baseline value at t0. Results: Compared with the baseline level, SDNN and lnLF showed marked decreases during CCPT-II. The mean values of HRV showed significant correlation with d’, including mean SDNN (R=0.474, p=0.012), mean lnLF (R=0.390, p=0.045), and mean lnHF (R=0.400, p=0.032). In the 14th time window, the significant correlations included SDNN (R=0.578, p=0.002), lnLF (R=0.493, p=0.012), and lnHF (R=0.432, p=0.031). Significant correlation between d’ and HRV parameters emerged only during the initial CCPT-II. Conclusion A significant correlation between PNS and IC was observed in the first session alone. The IC in the repeated CCPT-II needs to consider the broader neural network.

Objective: Executive function correlates with the parasympathetic nervous system (PNS) based on static heart rate variability (HRV) measurements. Our study advances this understanding by employing dynamic assessments of the PNS to explore and quantify its relationship with inhibitory control (IC). Methods: We recruited 31 men aged 20–35 years. We monitored their electrocardiogram (ECG) signals during the administration of the Conners’ Continuous Performance Test-II (CCPT-II) on a weekly basis over 2 weeks. HRV analysis was performed on ECG-derived RR intervals using 5-minute windows, each overlapping for the next 4 minutes to establish 1-minute intervals. For each time window, the HRV metrics extracted were: mean RR intervals, standard deviation of NN intervals (SDNN), low-frequency power with logarithm (lnLF), and high-frequency power with logarithm (lnHF). Each value was correlated with detectability and compared to the corresponding baseline value at t0. Results: Compared with the baseline level, SDNN and lnLF showed marked decreases during CCPT-II. The mean values of HRV showed significant correlation with d’, including mean SDNN (R=0.474, p=0.012), mean lnLF (R=0.390, p=0.045), and mean lnHF (R=0.400, p=0.032). In the 14th time window, the significant correlations included SDNN (R=0.578, p=0.002), lnLF (R=0.493, p=0.012), and lnHF (R=0.432, p=0.031). Significant correlation between d’ and HRV parameters emerged only during the initial CCPT-II. Conclusion A significant correlation between PNS and IC was observed in the first session alone. The IC in the repeated CCPT-II needs to consider the broader neural network.