1.Low-power laser irradiation inhibits arecoline-induced fibrosis:an in vitro study
Yeh MEI-CHUN ; Chen KER-KONG ; Chiang MIN-HSUAN ; Chen PING-HO ; Lee HUEY-ER ; Wang YAN-HSIUNG
International Journal of Oral Science 2017;9(1):38-42
Oral submucous fibrosis (OSF) is a potentially malignant disorder that is characterized by a progressive fibrosis in the oral submucosa. Arecoline, an alkaloid compound of the areca nut, is reported to be a major aetiological factor in the development of OSF. Low-power laser irradiation (LPLI) has been reported to be beneficial in fibrosis prevention in different damaged organs. The aim of this study was to investigate the potential therapeutic effects of LPLI on arecoline-induced fibrosis. Arecoline-stimulated human gingival fibroblasts (HGFs) were treated with or without LPLI. The expression levels of the fibrotic marker genes alpha-smooth muscle actin (α-SMA) and connective tissue growth factor (CTGF/CCN2) were analysed by quantitative real-time reverse transcription polymerase chain reaction (RT-PCR) and western blots. In addition, the transcriptional activity of CCN2 was further determined by a reporter assay. The results indicated that arecoline increased the messenger RNA and protein expression of CCN2 and α-SMA in HGF. Interestingly, both LPLI and forskolin, an adenylyl cyclase activator, reduced the expression of arecoline-mediated fibrotic marker genes and inhibited the transcriptional activity of CCN2. Moreover, pretreatment with SQ22536, an adenylyl cyclase inhibitor, blocked LPLI's inhibition of the expression of arecoline-mediated fibrotic marker genes. Our data suggest that LPLI may inhibit the expression of arecoline-mediated fibrotic marker genes via the cAMP signalling pathway.
2.Heart Rate Variability Biofeedback Increased Autonomic Activation and Improved Symptoms of Depression and Insomnia among Patients with Major Depression Disorder
I Mei LIN ; Sheng Yu FAN ; Cheng Fang YEN ; Yi Chun YEH ; Tze Chun TANG ; Mei Feng HUANG ; Tai Ling LIU ; Peng Wei WANG ; Huang Chi LIN ; Hsin Yi TSAI ; Yu Che TSAI
Clinical Psychopharmacology and Neuroscience 2019;17(2):222-232
OBJECTIVE: Autonomic imbalance is considered a psychopathological mechanism underlying major depressive disorder (MDD). Heart rate variability (HRV) is an index for autonomic activation. Poor sleep quality is common among patients with MDD. HRV biofeedback (BF) has been used for regulating autonomic balance among patients with physical illness and mental disorders. The purpose of present study was to examine the effects of HRV-BF on depressive symptoms, sleep quality, pre-sleep arousal, and HRV indices, in patients with MDD and insomnia. METHODS: In this case-controlled study, patients with MDD and Pittsburgh Sleep Quality Index (PSQI) score higher than 6 were recruited. The HRV-BF group received weekly 60-minute protocol for 6 weeks, and the control group who have matched the age and sex received medical care only. All participants were assessed on Beck Depression Inventory-II, Back Anxiety Inventory, PSQI, and Pre-Sleep Arousal Scale. Breathing rates and electrocardiography were also performed under resting state at pre-testing, and post-testing conditions and for the HRV-BF group, also at 1-month follow-up. RESULTS: In the HRV-BF group, symptoms of depression and anxiety, sleep quality, and pre-sleep arousal were significantly improved, and increased HRV indices, compared with the control group. Moreover, in the HRV-BF group, significantly improved symptoms of depression and anxiety, decreased breathing rates, and increased HRV indices were detected at post-testing and at 1-month follow-up, compared with pre-testing values. CONCLUSION: This study confirmed that HRV-BF is a useful psychosocial intervention for improving autonomic balance, baroreflex, and symptoms of depression and insomnia in MDD patients.
Anxiety
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Arousal
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Baroreflex
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Biofeedback, Psychology
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Case-Control Studies
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Depression
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Depressive Disorder, Major
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Electrocardiography
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Follow-Up Studies
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Heart Rate
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Heart
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Humans
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Mental Disorders
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Respiration
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Sleep Initiation and Maintenance Disorders
3.Erratum: Title Correction
I Mei LIN ; Sheng Yu FAN ; Cheng Fang YEN ; Yi Chun YEH ; Tze Chun TANG ; Mei Feng HUANG ; Tai Ling LIU ; Peng Wei WANG ; Huang Chi LIN ; Hsin Yi TSAI ; Yu Che TSAI
Clinical Psychopharmacology and Neuroscience 2019;17(3):458-458
The title should be corrected as follows: Heart Rate Variability Biofeedback Increased Autonomic Activation and Improved Symptoms of Depression and Insomnia among Patients with Major Depressive Disorder.
4.Predictors for Failed Removal of Nasogastric Tube in Patients With Brain Insult
Shih-Ting HUANG ; Tyng-Guey WANG ; Mei-Chih PENG ; Wan-Ming CHEN ; An-Tzu JAO ; Fuk Tan TANG ; Yu-Ting HSIEH ; Chun Sheng HO ; Shu-Ming YEH
Annals of Rehabilitation Medicine 2024;48(3):220-227
Objective:
To construct a prognostic model for unsuccessful removal of nasogastric tube (NGT) was the aim of our study.
Methods:
This study examined patients with swallowing disorders receiving NGT feeding due to stroke or traumatic brain injury in a regional hospital. Clinical data was collected, such as age, sex, body mass index (BMI), level of activities of daily living (ADLs) dependence. Additionally, gather information regarding the enhancement in Functional Oral Intake Scale (FOIS) levels and the increase in food types according to the International Dysphagia Diet Standardization Initiative (IDDSI) after one month of swallowing training. A stepwise logistic regression analysis model was employed to predict NGT removal failure using these parameters.
Results:
Out of 203 patients, 53 patients (26.1%) had experienced a failed removal of NGT after six months of follow-up. The strongest predictors for failed removal were age over 60 years, underweight BMI, total dependence in ADLs, and ischemic stroke. The admission prediction model categorized patients into high, moderate, and low-risk groups for removal failure. The failure rate of NGT removal was high not only in the high-risk group but also in the moderate-risk groups when there was no improvement in FOIS levels and IDDSI food types.
Conclusion
Our predictive model categorizes patients with brain insults into risk groups for swallowing disorders, enabling advanced interventions such as percutaneous endoscopic gastrostomy for high-risk patients struggling with NGT removal, while follow-up assessments using FOIS and IDDSI aid in guiding rehabilitation decisions for those at moderate risk.