We determined the effects of dietary manipulations on messenger RNA of peroxisome proliferators activated receptor isoforms (i.e., PPAR alpha, beta/delta, gamma)in red vastus lateralis muscle of rats. Total 16 male Sprague-Dawley rats were used, and animals were divided into one of two dietary conditions :either chow diet group (CHOW ;n =8 )in which animals were fed with standard rodent chow (61.8% carbohydrate, 15.7% fat, 22.5% protein )or high fat diet group (FAT n =8 ) in which animals were fed 24.3% carbohydrate, 52.8% fat, 22.9% protein. At the end of the 8 weeks of experimental pe-riod, red vastus lateralis muscle was dissected out from all animals, and PPAR alpha, beta/delta, gamma mRNA expression was deter-mined. There was no significant difference in body mass (BM )between CHOW and FAT. As expected, blood glucose and free fatty acid (FFA )concentration was higher in FAT than CHOW (p <0.05 ), and lactate concentration was significan-tly lower in FAT compared to CHOW (p <0.05 ). Insulin concentration tended to higher in FAT than CHOW (67.2 +/- 21.9 vs. 27.0 +/-5.2 pmol/L ), but it did not reach to the statistical significance. Gene expression of PPAR alpha was not signifi-cantly different between CHOW and FAT. It was not also significantly different in PPAR beta/delta. Interestingly, expression of mRNA in PPAR gamma however, was markedly depressed in FAT compared to CHOW (approximately 3 fold higher in CHOW ; p <0.05 ). Results obtained from present study implies that PPAR gamma (as compensatory function of PPAR alpha is expressed ) possibly exerts another major tuning roles in fatty acid transport, utilization, as well as biosynthesis in skeletal muscle cells. The situations and conditions that can be postulated for this implication need to be further examined.
Animals ; Blood Glucose ; Diet ; Diet, High-Fat ; Gene Expression ; Humans ; Insulin ; Lactic Acid ; Male ; Muscle, Skeletal* ; Peroxisome Proliferator-Activated Receptors ; Peroxisome Proliferators ; Peroxisomes* ; PPAR alpha ; PPAR gamma ; Protein Isoforms* ; Quadriceps Muscle ; Rats* ; Rats, Sprague-Dawley ; RNA, Messenger* ; Rodentia

We examined the precision, accuracy, and capability of detecting changes of Dual-Energy X-ray Absorptiometry (DXA) for the measurements of total-body weight (TBW), total-body fat weight (TBFW), and total-body lean weight (TBLW) in an 8-week follow-up study of rats. Twenty male rats (4-week) were divided into 2 diet groups. For 8 weeks, we measured body composition (TBW, TBFW, TBLW) by DXA and TBW by an electronic scale once a week. In week 8, we measured body composition 5 times by DXA and TBFW by dissecting experiment (EXP) of euthanized rats (12-week). Total-body fat ratio (TBFR) was defined as TBFW/(TBFW+TBLW). The precision of DXA was evaluated by measuring the coefficient of variation (CV) and accuracy was evaluated by comparing DXA-derived data with EXP data. The capability of detecting changes of DXA in follow-up study was verified by analyzing the trend of DXA-derived values over the 8 weeks. For TBW, TBFW, TBLW of DXA, CVs were 0.02 ± 0.01, 0.10 ± 0.05, 0.03 ± 0.02 and errors were − 6.996 ± 3.429 (r = 0.999), + 14.729 ± 3.663 (r = 0.982), − 21.725 ± 4.223 (r = 0.991), respectively. Prediction models were [EXP TBW = − 31.767 + 1.085 (DXA TBW), R2 = 0.998, root mean square error (RMSE) = 1.842] and [EXP TBFR = − 0.056 + 1.177 (DXA TBFR), R2 = 0.948, RMSE = 0.007]. Over 8 weeks, DXA TBW and DXA TBLW steadily increased, DXA TBFW steadily increased followed by saturation or declination, difference of DXA TBFW between 2 diet groups steadily increased. In conclusion, our study verified that DXA (iNSiGHT VET DXA, OsteoSys, Korea) is accurate and precise enough to measure body composition of rats. Additionally, we confirmed the possibility that DXA could be used for the long-term follow-up studies.
Absorptiometry, Photon ; Animals ; Body Composition ; Diet ; Diet, High-Fat ; Follow-Up Studies ; Humans ; Male ; Obesity ; Rats

Objective: The purpose of the present study was to identify adolescents’ suicide subgroups using five indicators (depression, anxiety, suicide ideation, and planned and attempted suicide), and explore the distinctive features of each subgroup. Methods: This study included 2,258 teenagers from four schools. Both adolescents and their parents, who voluntarily agreed to participate in the study, completed a series of self-reported questionnaires on depression, anxiety, suicide, self-harm, self-esteem, impulsivity, childhood maltreatment, and deviant behaviors. The data were analyzed using latent class analysis, a person-centered method. Results: Four classes were detected: “high risk for suicide without distress,” “high risk for suicide with distress,” “low risk for suicide with distress,” and “healthy.” The “high risk for suicide with distress” class was the most severe on all evaluated psychosocial risk factors, namely, impulsivity, low self-esteem, self-harming behaviours, deviant behaviour problems, and childhood maltreatment, followed by “high risk for suicide without distress.” Conclusion This study identified two high risk subgroups for adolescent’ suicidality, “high risk for suicide with or without distress.” Both high risk subgroups for suicide showed higher scores for all psychosocial risk factors than low risk subgroups for suicide. Our findings suggest that special attention needs to be paid to the latent class “high risk for suicide without distress,” as this group’s “cry for help” might be relatively difficult to detect. Specific interventions for each group (e.g., distress safety plans for “suicidal potential with or without emotional distress”) need to be developed and implemented.

BACKGROUND: The number of elderly patients admitted to intensive care units (ICUs) is growing with the increasing proportion of elderly persons in the Korean general population. It is often difficult to make decisions about ICU care for elderly patients, especially when they are in their 90s. Data regarding the proportion of elderly patients in their 90s along with their clinical characteristics in ICU are scarce. METHODS: The records of Korean patients > or = 90 years old who were admitted to the medical ICU in a tertiary referral hospital between January 2005 and December 2014 were retrospectively reviewed. We compared the trend in ICU use and characteristics of these elderly patients between 2005-2009 and 2010-2014. RESULTS: Among 6,186 referred patients, 55 aged > or = 90 years were admitted to the medical ICU from 2005 to 2014. About 58.2% of these patients were male, and their mean age was 92.7 years. Their median Charlson comorbidity index score was 2 (IQR 1-3) and their mean APACHE II score was 25.0 (IQR 19.0-34.0). The most common reason for ICU care was acute respiratory failure. There were no differences in the survival rates between the earlier and more recent cohorts. However, after excluding patients who had specified "do not resuscitate" (DNR), the more recent group showed a significantly higher survival rate (53.8% mortality for the earlier group and 0% mortality for the recent group). Among the survivors, over half were discharged to their homes. More patients in the recent cohort (n=26 [78.8%]) specified DNR than in the earlier cohort (n=7 [35.0%], p=0.004). The number and proportion of patients > or = 90 years old among patients using ICU during the 2005-2014 study period did not differ. CONCLUSIONS: The use of ICU care by elderly patients > or = 90 years old was consistent from 2005-2014. The overall mortality rate tended to decrease, but this was not statistically significant. However, the proportion of patients specifying DNR was higher among more recent patients, and the recent group showed an even better survivorship after sensitivity analysis excluded patients specifying DNR.
Aged* ; APACHE ; Cohort Studies ; Comorbidity ; Humans ; Intensive Care Units ; Critical Care* ; Korea* ; Male ; Mortality ; Respiratory Insufficiency ; Retrospective Studies ; Survival Rate ; Survivors ; Tertiary Care Centers*

Objective: This study aimed to elucidate the distinct response patterns exhibited by patients diagnosed with bipolar disorder (BD) and those with major depressive disorder (MDD) through the application of the short version of the Temperament Evaluation of Memphis, Pisa, Paris, and San Diego Autoquestionnaire (TEMPS-A-SV). Methods: A total of 2,458 participants consisting of patients with MDD (n=288), BD (BD I, n=111; BD II, n=427), and control group (n=1,632) completed the TEMPS-A-SV. The response patterns of the participants were classified into distinct profiles using latent profile analysis. The study further examined the impact of covariates such as age, sex, and diagnostic group on derived latent profile memberships. Results: The following three latent profiles were identified: High Affective Temperament Group (17.86%), Low Affective Temperament Group (41.25%), and Middle Affective Temperament Group (40.89%). Compared with the patient group with MDD and BD, the control group was more likely to belong in the Low Affective Temperament Group, which showed a higher score on hyperthymic temperament than the Middle Affective Temperament Group. Furthermore, compared with the patients with BD, the MDD patients were more likely to be in the Low Affective Temperament Group rather than the Middle Affective Temperament Group. Conclusion These results indicate that different affective temperaments exist between patients with MDD and BD. Attempting to classify response patterns using the TEMPS-A-SV can help diagnose MDD and BD correctly.

Objective: Interpersonal sensitivity, characterized by a heightened awareness of others’ behavior and emotions, is linked to mood disorders. However, current literature lacks a comprehensive analysis of how some items of the Interpersonal Sensitivity Measure (IPSM) interrelate and contribute to the overall construct. This study constructed a network for interpersonal sensitivity symptomatology to identify core IPSM items in patients with mood disorders. Methods: The IPSM, a 36-item self-report scale, was utilized to evaluate interpersonal sensitivity symptoms in 837 participants (major depressive disorder [MDD], n=265; bipolar I disorder [BD I], n=126; and bipolar II disorder [BD II], n=446). We performed exploratory graph analysis, employing regularized partial correlation models to estimate the network structure. Centrality analysis identified core IPSM symptoms for each mood disorder group. Network comparison tests assessed structural differences between the MDD and BD subgroups. Results: Network analysis detected five communities. Item 10 (“I worry about being criticized for things that I have said or done”) showed the highest value in strength. Multiple items on “Interpersonal Worry/Dependency” and “Low Self-Esteem” showed high strength centrality. Network structure invariance and global strength invariance test results indicated no significant differences between the MDD and BD subgroups. Conclusion Our findings emphasize the importance of addressing “Interpersonal Worry/Dependency” and “Low Self-Esteem” in the IPSM network among mood disorder patients based on core items of the network. Additionally, targeted treatments and comprehensive strategies in this aspect could be crucial for managing mood disorders.

Objective: Interpersonal sensitivity, characterized by a heightened awareness of others’ behavior and emotions, is linked to mood disorders. However, current literature lacks a comprehensive analysis of how some items of the Interpersonal Sensitivity Measure (IPSM) interrelate and contribute to the overall construct. This study constructed a network for interpersonal sensitivity symptomatology to identify core IPSM items in patients with mood disorders. Methods: The IPSM, a 36-item self-report scale, was utilized to evaluate interpersonal sensitivity symptoms in 837 participants (major depressive disorder [MDD], n=265; bipolar I disorder [BD I], n=126; and bipolar II disorder [BD II], n=446). We performed exploratory graph analysis, employing regularized partial correlation models to estimate the network structure. Centrality analysis identified core IPSM symptoms for each mood disorder group. Network comparison tests assessed structural differences between the MDD and BD subgroups. Results: Network analysis detected five communities. Item 10 (“I worry about being criticized for things that I have said or done”) showed the highest value in strength. Multiple items on “Interpersonal Worry/Dependency” and “Low Self-Esteem” showed high strength centrality. Network structure invariance and global strength invariance test results indicated no significant differences between the MDD and BD subgroups. Conclusion Our findings emphasize the importance of addressing “Interpersonal Worry/Dependency” and “Low Self-Esteem” in the IPSM network among mood disorder patients based on core items of the network. Additionally, targeted treatments and comprehensive strategies in this aspect could be crucial for managing mood disorders.

Objective: Interpersonal sensitivity, characterized by a heightened awareness of others’ behavior and emotions, is linked to mood disorders. However, current literature lacks a comprehensive analysis of how some items of the Interpersonal Sensitivity Measure (IPSM) interrelate and contribute to the overall construct. This study constructed a network for interpersonal sensitivity symptomatology to identify core IPSM items in patients with mood disorders. Methods: The IPSM, a 36-item self-report scale, was utilized to evaluate interpersonal sensitivity symptoms in 837 participants (major depressive disorder [MDD], n=265; bipolar I disorder [BD I], n=126; and bipolar II disorder [BD II], n=446). We performed exploratory graph analysis, employing regularized partial correlation models to estimate the network structure. Centrality analysis identified core IPSM symptoms for each mood disorder group. Network comparison tests assessed structural differences between the MDD and BD subgroups. Results: Network analysis detected five communities. Item 10 (“I worry about being criticized for things that I have said or done”) showed the highest value in strength. Multiple items on “Interpersonal Worry/Dependency” and “Low Self-Esteem” showed high strength centrality. Network structure invariance and global strength invariance test results indicated no significant differences between the MDD and BD subgroups. Conclusion Our findings emphasize the importance of addressing “Interpersonal Worry/Dependency” and “Low Self-Esteem” in the IPSM network among mood disorder patients based on core items of the network. Additionally, targeted treatments and comprehensive strategies in this aspect could be crucial for managing mood disorders.

Objective: Interpersonal sensitivity, characterized by a heightened awareness of others’ behavior and emotions, is linked to mood disorders. However, current literature lacks a comprehensive analysis of how some items of the Interpersonal Sensitivity Measure (IPSM) interrelate and contribute to the overall construct. This study constructed a network for interpersonal sensitivity symptomatology to identify core IPSM items in patients with mood disorders. Methods: The IPSM, a 36-item self-report scale, was utilized to evaluate interpersonal sensitivity symptoms in 837 participants (major depressive disorder [MDD], n=265; bipolar I disorder [BD I], n=126; and bipolar II disorder [BD II], n=446). We performed exploratory graph analysis, employing regularized partial correlation models to estimate the network structure. Centrality analysis identified core IPSM symptoms for each mood disorder group. Network comparison tests assessed structural differences between the MDD and BD subgroups. Results: Network analysis detected five communities. Item 10 (“I worry about being criticized for things that I have said or done”) showed the highest value in strength. Multiple items on “Interpersonal Worry/Dependency” and “Low Self-Esteem” showed high strength centrality. Network structure invariance and global strength invariance test results indicated no significant differences between the MDD and BD subgroups. Conclusion Our findings emphasize the importance of addressing “Interpersonal Worry/Dependency” and “Low Self-Esteem” in the IPSM network among mood disorder patients based on core items of the network. Additionally, targeted treatments and comprehensive strategies in this aspect could be crucial for managing mood disorders.

BACKGROUND: The number of elderly patients admitted to intensive care units (ICUs) is growing with the increasing proportion of elderly persons in the Korean general population. It is often difficult to make decisions about ICU care for elderly patients, especially when they are in their 90s. Data regarding the proportion of elderly patients in their 90s along with their clinical characteristics in ICU are scarce. METHODS: The records of Korean patients > or = 90 years old who were admitted to the medical ICU in a tertiary referral hospital between January 2005 and December 2014 were retrospectively reviewed. We compared the trend in ICU use and characteristics of these elderly patients between 2005-2009 and 2010-2014. RESULTS: Among 6,186 referred patients, 55 aged > or = 90 years were admitted to the medical ICU from 2005 to 2014. About 58.2% of these patients were male, and their mean age was 92.7 years. Their median Charlson comorbidity index score was 2 (IQR 1-3) and their mean APACHE II score was 25.0 (IQR 19.0-34.0). The most common reason for ICU care was acute respiratory failure. There were no differences in the survival rates between the earlier and more recent cohorts. However, after excluding patients who had specified "do not resuscitate" (DNR), the more recent group showed a significantly higher survival rate (53.8% mortality for the earlier group and 0% mortality for the recent group). Among the survivors, over half were discharged to their homes. More patients in the recent cohort (n=26 [78.8%]) specified DNR than in the earlier cohort (n=7 [35.0%], p=0.004). The number and proportion of patients > or = 90 years old among patients using ICU during the 2005-2014 study period did not differ. CONCLUSIONS: The use of ICU care by elderly patients > or = 90 years old was consistent from 2005-2014. The overall mortality rate tended to decrease, but this was not statistically significant. However, the proportion of patients specifying DNR was higher among more recent patients, and the recent group showed an even better survivorship after sensitivity analysis excluded patients specifying DNR.
Aged ; APACHE ; Cohort Studies ; Comorbidity ; Humans ; Intensive Care Units ; Critical Care ; Korea ; Male ; Mortality ; Respiratory Insufficiency ; Retrospective Studies ; Survival Rate ; Survivors ; Tertiary Care Centers