Ping-Hsun Lu

Dr. Ping-Hsun Lu

Department of Chinese Medicine, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei
orcid

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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7 May 2010 in Organic Letters
Verified
Journal Article
Closed access
PLPing-Hsun Lu
Ping-Hsun Lu
CYChing-Shun Yang
Ching-Shun Yang
BDBadugu Devendar
Badugu Devendar
CLChiung-Chou Liao
Chiung-Chou Liao

1 January 2020 in Evidence-Based Complementary and Alternative Medicine
Verified
Journal Article
Open access
PLPing-Hsun Lu
Ping-Hsun Lu
JKJui-Lin Keng
Jui-Lin Keng
KKKo-Li Kuo
Ko-Li Kuo
YWYu-Fang Wang
Yu-Fang Wang
YTYu-Chih Tai
Yu-Chih Tai
Chan-Yen KuoChan-Yen Kuo
Chan-Yen Kuo
Uremic pruritus (UP) is prevalent among patients with end‐stage renal disease (ESRD), which causes severe itching and affects their quality of life. Additionally, patients experience fatigue and depression, and an increased risk of mortality has also been reported. A meta‐analysis of 17 randomized controlled trials (RCTs) has indicated that Chinese herbal bath therapy (CHBT) had adjuvant benefits in improving UP in ESRD patients, and previous studies have reported that herb combinations were more useful than treatment with a single herb. Association rule analysis has been used to evaluate potential correlations between herb combinations, and Apriori algorithms are one of the most powerful machine‐learning algorithms available for identifying associations within databases. Therefore, we used the Apriori algorithm to analyze association rules of potential core herb combinations for use in CHBT for UP treatment using data from a meta‐analysis of 17 RCTs that used CHBT for UP treatment. Data on 43 CHBT herbs were extracted from 17 RCTs included for analysis and we found 19 association rules. The results indicated that the following herb combinations {Chuanxiong, Baijili} ≥ {Dahuang} and {Dahuang, Baijili} ≥ {Chuanxiong} were most strongly associated, implying that these herb combinations represent potential CHBT treatments for UP.

6 October 2006 in ChemMedChem
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Journal Article
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JLJing‐Ping Liou
Jing‐Ping Liou
NMNeeraj Mahindroo
Neeraj Mahindroo
CCChun‐Wei Chang
Chun‐Wei Chang
FGFu‐Ming Guo
Fu‐Ming Guo
SLSandy Wen‐Hsing Lee
Sandy Wen‐Hsing Lee
HHHsing-Pang Hsieh
Hsing-Pang Hsieh

23 June 2022 in Molecules
Verified
Journal Article
Open access
PDF file
PLPing-Hsun Lu
Ping-Hsun Lu
TLTzu-Hsien Liao
Tzu-Hsien Liao
YCYau-Hung Chen
Yau-Hung Chen
YHYeng-Ling Hsu
Yeng-Ling Hsu
Chan-Yen KuoChan-Yen Kuo
Chan-Yen Kuo
FTFu-Ming Tsai
Fu-Ming Tsai
Coumarin was first discovered in Tonka bean and then widely in other plants. Coumarin has an anticoagulant effect, and its derivative, warfarin, is a vitamin K analogue that inhibits the synthesis of clotting factors and is more widely used in the clinical treatment of endovascular embolism. At present, many artificial chemical synthesis methods can be used to modify the structure of coumarin to develop many effective drugs with low toxicity. In this study, we investigated the effects of six coumarin derivatives on the platelet aggregation induced by adenosine diphosphate (ADP). We found that the six coumarin derivatives inhibited the active form of GPIIb/IIIa on platelets and hence inhibit platelet aggregation. We found that 7-hydroxy-3-phenyl 4H-chromen-4-one (7-hydroxyflavone) had the most severe effect. In addition, we further analyzed the downstream signal transduction of the ADP receptor, including the release of calcium ions and the regulation of cAMP, which were inhibited by the six coumarin derivatives selected in this study. These results suggest that coumarin derivatives inhibit coagulation by inhibiting the synthesis of coagulation factors and they may also inhibit platelet aggregation.

25 March 2021 in Evidence-Based Complementary and Alternative Medicine
Verified
Journal Article
Open access
PDF file
PLPing-Hsun Lu
Ping-Hsun Lu
JKJui-Lin Keng
Jui-Lin Keng
FTFu-Ming Tsai
Fu-Ming Tsai
PLPo-Hsuan Lu
Po-Hsuan Lu
Chan-Yen KuoChan-Yen Kuo
Chan-Yen Kuo
We explored the potential association rules within acupoints in treating diabetic gastroparesis (DGP) using Apriori algorithm complemented with another partition-based algorithm, a frequent pattern growth algorithm. Apriori algorithm is a data mining-based analysis that is widely applied in various fields, such as business and medicine, to mine frequent patterns in datasets. To search for effective acupoint combinations in the treatment of DGP, we implemented Apriori algorithm to investigate the association rules of acupoints among 17 randomized controlled trials (RCTs). The acupoints were extracted from the 17 included RCTs. In total, 29 distinct acupoints were observed in the RCTs. The top 10 frequently selected acupoints were CV12, ST36, PC6, ST25, BL21, BL20, BL23, SP6, BL18, and ST21. The frequency pattern of acupoints achieved by using a frequent pattern growth algorithm also confirms the result. The results showed that the most associated rules were {BL23, BL18} ≥ {SP6}, {BL20, BL18} ≥ {PC6}, {PC6, BL18} ≥ {BL20}, and {SP6, BL18} ≥ {BL23} in the database. Acupoints, including BL23, BL18, SP6, BL20, and PC6, can be deemed as core elements of acupoint combinations for treating DGP.

17 August 2021 in Toxins
Verified
Journal Article
Open access
PDF file
PLPing-Hsun Lu
Ping-Hsun Lu
MYMin-Chien Yu
Min-Chien Yu
MWMeng-Jiun Wei
Meng-Jiun Wei
Ko-Lin KuoKo-Lin Kuo
Ko-Lin Kuo
Uremic toxins (UTs) are mainly produced by protein metabolized by the intestinal microbiota and converted in the liver or by mitochondria or other enzymes. The accumulation of UTs can damage the intestinal barrier integrity and cause vascular damage and progressive kidney damage. Together, these factors lead to metabolic imbalances, which in turn increase oxidative stress and inflammation and then produce uremia that affects many organs and causes diseases including renal fibrosis, vascular disease, and renal osteodystrophy. This article is based on the theory of the intestinal–renal axis, from bench to bedside, and it discusses nonextracorporeal therapies for UTs, which are classified into three categories: medication, diet and supplement therapy, and complementary and alternative medicine (CAM) and other therapies. The effects of medications such as AST-120 and meclofenamate are described. Diet and supplement therapies include plant-based diet, very low-protein diet, probiotics, prebiotics, synbiotics, and nutraceuticals. The research status of Chinese herbal medicine is discussed for CAM and other therapies. This review can provide some treatment recommendations for the reduction of UTs in patients with chronic kidney disease.