1.Chemical principles and bioactivities of blueberry.
Chieh-fu CHEN ; Ya-dong LI ; Zhe XU
Acta Pharmaceutica Sinica 2010;45(4):422-429
The bioactive principles contained in blueberries (Vaccinium) are various kind of anthocyanins (anthocyanidins, or phenolic aglycone, conjugated with sugar), chlorogenic acid, flavonids, alpha-linolenic acid, pterostilbene, resveratrol, and vitamins. After oral administration, anthocyanins can pass through blood-brain barrier and thus appear in various organs and brain. Improve visual function by increasing rhodopsin regeneration and ocular health is the earliest reported bioactivities of anthocyanin. Recent studies demonstrated the benefit of blueberries to prevent the age-related chronic diseases such as cancer, diabeties, hyperlipidemia, hypertension, neurodegeneration, obesity, and osteoporosis through its apoptosis, antioxidant, antiinflammation, and antiangiogenesis effects. Blueberries can eradicate microorganisms for the prevention of symptomatic urinary tract infections in women. Thus, blueberries are recognized as one of the most nutritious foods and cultivated worldwide. However, how to prolong the shelving time of fresh fruit, well utilize the leaf and stem to isolate the bioactive chemicals, improve quality consistency of juicy and dry products, all should be further concerned.
Aging
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drug effects
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Animals
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Anthocyanins
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isolation & purification
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pharmacokinetics
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pharmacology
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Anti-Inflammatory Agents
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pharmacology
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Antihypertensive Agents
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pharmacology
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Antineoplastic Agents, Phytogenic
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pharmacology
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Antioxidants
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pharmacology
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Blood-Brain Barrier
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Blueberry Plants
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chemistry
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Chlorogenic Acid
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isolation & purification
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pharmacology
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Humans
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Hypoglycemic Agents
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pharmacology
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Hypolipidemic Agents
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pharmacology
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Plant Preparations
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pharmacology
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Plants, Edible
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chemistry
4.Treatment outcomes of patients with stage II pure endometrioid-type endometrial cancer: a Taiwanese Gynecologic Oncology Group (TGOG-2006) retrospective cohort study.
Hung Chun FU ; Jen Ruei CHEN ; Min Yu CHEN ; Keng Fu HSU ; Wen Fang CHENG ; An Jen CHIANG ; Yu Min KE ; Yu Chieh CHEN ; Yin Yi CHANG ; Chia Yen HUANG ; Chieh Yi KANG ; Yuan Yee KAN ; Sheng Mou HSIAO ; Ming Shyen YEN
Journal of Gynecologic Oncology 2018;29(5):e76-
OBJECTIVE: Choice of hysterectomy and adjuvant treatment for International Federation of Gynecology and Obstetrics (FIGO) 2009 stage II endometrioid endometrial cancer (EEC) is still controversial. Aims of this study were to evaluate survival benefits and adverse effects of different hysterectomies with or without adjuvant radiotherapy (RT), and to identify prognostic factors. METHODS: The patients at 14 member hospitals of the Taiwanese Gynecologic Oncology Group from 1992 to 2013 were retrospectively investigated. Patients were divided into simple hysterectomy (SH) alone, SH with RT, radical hysterectomy (RH) alone, and RH with RT groups. Endpoints were recurrence-free survival (RFS), overall survival (OS), disease-specific survival (DSS), adverse effects and prognostic factors for survival. RESULTS: Total of 246 patients were enrolled. The 5-year RFS, OS, DSS and recurrence rates for the entire cohort were 89.5%, 94.3%, 96.2% and 10.2%, respectively. Patients receiving RH had more adverse effects including blood loss (p < 0.001), recurrent urinary tract infections (p = 0.013), and leg lymphedema (p = 0.038). Age over 50-year (HR = 9.2; 95% confidence interval [CI], 1.2–70.9) and grade 3 histology (HR = 7.28; 95% CI, 1.45–36.6) were independent predictors of OS. Grade 3 histology was an independent predictor of RFS (HR = 5.13; 95% CI, 1.38–19.1) and DSS (HR = 5.97; 95% CI, 1.06–58.7). Patients receiving adjuvant RT had lower locoregional recurrence (p = 0.046), but no impact on survival. CONCLUSION: Different treatment modalities yield similar survival outcomes. Patients receiving SH with RT had lower locoregional recurrent with acceptable morbidity. Age and tumor grading remained significant predictors for survival among patients with FIGO 2009 stage II EEC.
Cohort Studies*
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Endometrial Neoplasms*
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European Union
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Female
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Gynecology
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Humans
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Hysterectomy
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Leg
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Lymphedema
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Neoplasm Grading
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Obstetrics
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Radiotherapy
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Radiotherapy, Adjuvant
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Recurrence
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Retrospective Studies*
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Urinary Tract Infections
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Uterine Neoplasms
5.The reliability of ultrasonographic measurements for testicular volume assessment: comparison of three common formulas with true testicular volume.
Ming-Li HSIEH ; Shih-Tsung HUANG ; Hsin-Chieh HUANG ; Yu CHEN ; Yu-Chao HSU
Asian Journal of Andrology 2009;11(2):261-265
The aim of this study was to determine the correlation of ultrasonographic estimates of testicular volume with true testicular volume and to compare the accuracy and precision of the three most commonly utilized formulas. A total of 15 patients underwent high-resolution ultrasonography (US) analysis for testicular volume before orchiectomy. Testicular volume was calculated using three common formulas: (1) length (L) x width (W) x height (H) x 0.52; (2) the empirical formula of Lambert: L x W x H x 0.71; and (3) L x W2 x 0.52. The actual volume of each removed testis was estimated directly by a water displacement method. Thus, four volume measurements were obtained for each of the 30 testes. The obtained data were analyzed by paired t-test and linear regression analysis. All three US formula measurements significantly underestimated the true testicular volume. The largest mean biases were observed with US formula 1, which underestimated the true volume by 3.3 mL (31%). US formula 2 had a smaller mean difference from the true volume, with an underestimation of only 0.6 mL (6%). Regression analysis showed that formulas 1 and 2 had better R2 values than formula 3. However, all three US formulas displayed a strong linear relationship with the true volume (R2= 0.872-0.977; P < 0.001). Among the commonly used US formulas, the empirical formula of Lambert (L x W x H x 0.71) provided better accuracy than the other two formulas evaluated, and better precision than formula 3. Therefore, the formula of Lambert is the optimal choice in clinical practice.
Aged
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Aged, 80 and over
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Humans
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Male
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Middle Aged
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Organ Size
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Reproducibility of Results
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Testis
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anatomy & histology
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diagnostic imaging
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Ultrasonography
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methods
6.Nucleophosmin modulates the alleviation of atopic dermatitis caused by the marine-derived compound dihydroaustrasulfone alcohol
Han Chun HUNG ; Chien Wei FENG ; Yen You LIN ; Chun Hong CHEN ; Kuan Hao TSUI ; Wu Fu CHEN ; Chieh Yu PAN ; Jyh Horng SHEU ; Chun Sung SUNG ; Zhi Hong WEN
Experimental & Molecular Medicine 2018;50(2):e446-
Atopic dermatitis (AD) is a chronic inflammatory skin disease, and its prevalence is increasing. AD usually elicits skin barrier dysfunction, dry skin and itching. As the mechanisms of AD remain unknown, there is an urgent need to find effective therapies. Because of the diversity and complexity of marine environments, the discovery of drugs from marine organisms as novel therapeutic agents for human diseases has seen renewed interest. Dihydroaustrasulfone alcohol (WA-25), the synthetic precursor of austrasulfone, which is a natural product isolated from a Formosan soft coral, has been shown to possess many therapeutic effects in our previous studies. However, the detailed mechanisms and therapeutic effects of WA-25 on AD are incompletely understood. We performed in vitro and in vivo studies to examine the effects of WA-25 on AD. We showed that WA-25 blocks inflammation and oxidative stress. Simultaneously, we also found that WA-25 reduces the AD scores and AD-induced transepidermal water loss (TEWL), scratching behavior, and alloknesis. WA-25 is more effective in cases of AD than are the drugs that are currently used clinically. Importantly, we also found that when nucleophosmin (NPM) was inhibited or when its expression was reduced, the anti-inflammatory and anti-AD effects of WA-25 were blocked. These data suggest that NPM plays dual roles in inflammation and AD. Overall, these results suggest that WA-25 is a potential anti-inflammatory and AD therapeutic agent that is modulated by NPM.
7.Metformin and statins reduce hepatocellular carcinoma risk in chronic hepatitis C patients with failed antiviral therapy
Pei-Chien TSAI ; Chung-Feng HUANG ; Ming-Lun YEH ; Meng-Hsuan HSIEH ; Hsing-Tao KUO ; Chao-Hung HUNG ; Kuo-Chih TSENG ; Hsueh-Chou LAI ; Cheng-Yuan PENG ; Jing-Houng WANG ; Jyh-Jou CHEN ; Pei-Lun LEE ; Rong-Nan CHIEN ; Chi-Chieh YANG ; Gin-Ho LO ; Jia-Horng KAO ; Chun-Jen LIU ; Chen-Hua LIU ; Sheng-Lei YAN ; Chun-Yen LIN ; Wei-Wen SU ; Cheng-Hsin CHU ; Chih-Jen CHEN ; Shui-Yi TUNG ; Chi‐Ming TAI ; Chih-Wen LIN ; Ching-Chu LO ; Pin-Nan CHENG ; Yen-Cheng CHIU ; Chia-Chi WANG ; Jin-Shiung CHENG ; Wei-Lun TSAI ; Han-Chieh LIN ; Yi-Hsiang HUANG ; Chi-Yi CHEN ; Jee-Fu HUANG ; Chia-Yen DAI ; Wan-Long CHUNG ; Ming-Jong BAIR ; Ming-Lung YU ;
Clinical and Molecular Hepatology 2024;30(3):468-486
Background/Aims:
Chronic hepatitis C (CHC) patients who failed antiviral therapy are at increased risk for hepatocellular carcinoma (HCC). This study assessed the potential role of metformin and statins, medications for diabetes mellitus (DM) and hyperlipidemia (HLP), in reducing HCC risk among these patients.
Methods:
We included CHC patients from the T-COACH study who failed antiviral therapy. We tracked the onset of HCC 1.5 years post-therapy by linking to Taiwan’s cancer registry data from 2003 to 2019. We accounted for death and liver transplantation as competing risks and employed Gray’s cumulative incidence and Cox subdistribution hazards models to analyze HCC development.
Results:
Out of 2,779 patients, 480 (17.3%) developed HCC post-therapy. DM patients not using metformin had a 51% increased risk of HCC compared to non-DM patients, while HLP patients on statins had a 50% reduced risk compared to those without HLP. The 5-year HCC incidence was significantly higher for metformin non-users (16.5%) versus non-DM patients (11.3%; adjusted sub-distribution hazard ratio [aSHR]=1.51; P=0.007) and metformin users (3.1%; aSHR=1.59; P=0.022). Statin use in HLP patients correlated with a lower HCC risk (3.8%) compared to non-HLP patients (12.5%; aSHR=0.50; P<0.001). Notably, the increased HCC risk associated with non-use of metformin was primarily seen in non-cirrhotic patients, whereas statins decreased HCC risk in both cirrhotic and non-cirrhotic patients.
Conclusions
Metformin and statins may have a chemopreventive effect against HCC in CHC patients who failed antiviral therapy. These results support the need for personalized preventive strategies in managing HCC risk.
8.Inhalation of Shin-I essential oil enhances lactate clearance in treadmill exercise.
Hsuan-Ying CHEN ; Ming-Fu WANG ; Jun-Ying LIN ; Ying-Chieh TSAI ; Fu-Chou CHENG
Asian Pacific Journal of Tropical Biomedicine 2014;4(2):158-163
OBJECTIVETo evaluate the effect of Shin-I essential oil inhalation on blood lactate changes in rats subjected to treadmill exercise.
METHODS: Adult male Sprague Dawley rats (n=12) were randomly divided into the control or the Shin-I group. Rats were subjected to a treadmill exercise program (15 m/min for 30 min). After exercise, rats were exposed to 200 µL of water or Shin-I essential oil, respectively, using a nebulizer for 180 min during the recovery period. Blood samples were collected every 15 min. Blood glucose and lactate concentrations were determined in a CMA 600 analyzer.
RESULTS: The basal glucose and lactate levels were no significantly different between two groups. After exercise, glucose levels were slightly increased to about 110%-120% of the basal level in both groups. Lactate levels of both groups reached to 110%-140% of basal levels during exercise. In the recovery period, lactate levels further increased to 180% of the basal level and were maintained at a plateau in the control group. However, lactate levels gradually decreased to 60%-65% of the basal level in the Shin-I group. Lactate clearance was significantly enhanced after Shin-I essential oil inhalation.
CONCLUSIONS: Our results provide evidence that Shin-I essential oil inhalation may accelerate recovery after exercise in rats.
9.Taiwan Association for the Study of the Liver-Taiwan Society of Cardiology Taiwan position statement for the management of metabolic dysfunction- associated fatty liver disease and cardiovascular diseases
Pin-Nan CHENG ; Wen-Jone CHEN ; Charles Jia-Yin HOU ; Chih-Lin LIN ; Ming-Ling CHANG ; Chia-Chi WANG ; Wei-Ting CHANG ; Chao-Yung WANG ; Chun-Yen LIN ; Chung-Lieh HUNG ; Cheng-Yuan PENG ; Ming-Lung YU ; Ting-Hsing CHAO ; Jee-Fu HUANG ; Yi-Hsiang HUANG ; Chi-Yi CHEN ; Chern-En CHIANG ; Han-Chieh LIN ; Yi-Heng LI ; Tsung-Hsien LIN ; Jia-Horng KAO ; Tzung-Dau WANG ; Ping-Yen LIU ; Yen-Wen WU ; Chun-Jen LIU
Clinical and Molecular Hepatology 2024;30(1):16-36
Metabolic dysfunction-associated fatty liver disease (MAFLD) is an increasingly common liver disease worldwide. MAFLD is diagnosed based on the presence of steatosis on images, histological findings, or serum marker levels as well as the presence of at least one of the three metabolic features: overweight/obesity, type 2 diabetes mellitus, and metabolic risk factors. MAFLD is not only a liver disease but also a factor contributing to or related to cardiovascular diseases (CVD), which is the major etiology responsible for morbidity and mortality in patients with MAFLD. Hence, understanding the association between MAFLD and CVD, surveillance and risk stratification of MAFLD in patients with CVD, and assessment of the current status of MAFLD management are urgent requirements for both hepatologists and cardiologists. This Taiwan position statement reviews the literature and provides suggestions regarding the epidemiology, etiology, risk factors, risk stratification, nonpharmacological interventions, and potential drug treatments of MAFLD, focusing on its association with CVD.
10.Artificial intelligence predicts direct-acting antivirals failure among hepatitis C virus patients: A nationwide hepatitis C virus registry program
Ming-Ying LU ; Chung-Feng HUANG ; Chao-Hung HUNG ; Chi‐Ming TAI ; Lein-Ray MO ; Hsing-Tao KUO ; Kuo-Chih TSENG ; Ching-Chu LO ; Ming-Jong BAIR ; Szu-Jen WANG ; Jee-Fu HUANG ; Ming-Lun YEH ; Chun-Ting CHEN ; Ming-Chang TSAI ; Chien-Wei HUANG ; Pei-Lun LEE ; Tzeng-Hue YANG ; Yi-Hsiang HUANG ; Lee-Won CHONG ; Chien-Lin CHEN ; Chi-Chieh YANG ; Sheng‐Shun YANG ; Pin-Nan CHENG ; Tsai-Yuan HSIEH ; Jui-Ting HU ; Wen-Chih WU ; Chien-Yu CHENG ; Guei-Ying CHEN ; Guo-Xiong ZHOU ; Wei-Lun TSAI ; Chien-Neng KAO ; Chih-Lang LIN ; Chia-Chi WANG ; Ta-Ya LIN ; Chih‐Lin LIN ; Wei-Wen SU ; Tzong-Hsi LEE ; Te-Sheng CHANG ; Chun-Jen LIU ; Chia-Yen DAI ; Jia-Horng KAO ; Han-Chieh LIN ; Wan-Long CHUANG ; Cheng-Yuan PENG ; Chun-Wei- TSAI ; Chi-Yi CHEN ; Ming-Lung YU ;
Clinical and Molecular Hepatology 2024;30(1):64-79
Background/Aims:
Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy.
Methods:
We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment.
Results:
The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset.
Conclusions
Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.