1.Quantitative HPLC-DAD Analysis and α-Glucosidase Inhibitory Activity of Major Compounds from the Stems and Pericarpium of Punica granatum L.
Thi Nguyet Anh DINH ; Dong Hoon SHIN ; You Mie LEE ; Jeong Ah KIM
Natural Product Sciences 2026;32(1):63-75
Punica granatum L. has been widely used in traditional medicine and is known to contain bioactiveellagitannins with potential antidiabetic properties. The primary objective of this study was to develop and validate a reliable HPLC-DAD method for the quantitative analysis of major compounds isolated from stems and pericarpium of P. granatum, namely pedunculagin (1), flavogallonic acid (2), casuarinin (3), isocorilagin (4), methyl brevifolincarboxylate (5), eschweilenol C (6), ellagic acid-4-O-β-D-xylopyranoside (7), ellagic acid (8), and quercitrin (9), and to futher evaluate their α-glucosidase inhibitory activity. The analytical method demonstrated linearity with correlation coefficients (R²) exceeding 0.9991. The limits of detection (LOD) and limits of quantification (LOQ) ranged from 2.75 to 7.44 μg/mL and 8.33 to 22.54 μg/mL, respectively. Intra-day and inter-day precision showed relative standard deviation (RSD) values below 2.85% and 2.72%, while recovery values ranged from 96.87% to 107.72%, confirming the accuracy and reliability of the method.Quantitative results revealed that ellagitannins were the predominant constituents in both stems and pericarpium of P. granatum. Biological evaluation demonstrated that several isolated compounds exhibited strong αglucosidase inhibitory activity, with compounds 1–3 showing significantly stronger activity than the reference inhibitor acarbose. Enzyme kinetic studies and molecular docking analyses were conducted to clarify their inhibition mechanisms, revealing mixed, uncompetitive and competitive inhibition modes associated with binding to catalytic or allosteric sites of the enzyme. This study integrates quantitative analysis with mechanistic enzyme inhibition evaluation, providing a practical analytical tool for quality control of P. granatum and scientific evidence supporting its potential application in antidiabetic therapy.
2.Associated factors of osteoporosis and the impact of osteoporosis on all-cause mortality in incident hemodialysis older patients
Seunghye LEE ; Yoomee KANG ; Yu Ah HONG ; Sung Joon SHIN ; Soon Hyo KWON ; Sungjin CHUNG ; Young Youl HYUN ; Sang Heon SONG ; Jae Won YANG ; Won Min HWANG ; Jang-Hee CHO ; Kyung Don YOO ; In O SUN ; Gang-Jee KO ; Byung Chul YU ; Hyunsuk KIM ; Woo Yeong PARK ; Tae Won LEE ; Dong Jun PARK ; Eunjin BAE ;
Kidney Research and Clinical Practice 2026;45(1):110-119
Background:
With the aging population and advancements in medical care worldwide, the number of older patients with end-stage kidney disease continues to rise. This study aimed to identify factors associated with osteoporosis and osteopenia in older patients undergoing incident hemodialysis and assess their impact on mortality.
Methods:
We analyzed a large multicenter retrospective cohort of patients aged ≥70 years undergoing incident hemodialysis to identify factors associated with osteoporosis using logistic regression analysis and to assess the association of death with osteoporosis and osteopenia using Cox multivariable analysis.
Results:
Among 710 patients, 39.0% and 19.6% had osteoporosis and osteopenia, respectively. Osteoporosis was significantly associated with female sex, a history of fractures, and the absence of phosphate binder use. During a median follow-up of 36.8 months, 348 participants (58.8%) died. Mortality rates were the highest in the osteoporosis group (79.8%), followed by the osteopenia (77.2%) and normal bone mineral density (BMD) groups (35.2%). Cox regression analysis revealed that even after adjusting for covariates, the osteoporosis group was significantly associated with a higher mortality risk than the normal BMD group. Osteoporosis at the start of hemodialysis was significantly associated with higher mortality.
Conclusion
We should consider the importance of bone health in patients undergoing incident hemodialysis and pay attention to the use of phosphate binders and fracture prevention.
3.Changing Gadolinium-Based Contrast Agents to Prevent Recurrent Acute Adverse Drug Reactions: 6-Year Cohort Study Using Propensity Score Matching
Min Woo HAN ; Chong Hyun SUH ; Pyeong Hwa KIM ; Seonok KIM ; Ah Young KIM ; Kyung-Hyun DO ; Jeong Hyun LEE ; Dong-Il GWON ; Ah Young JUNG ; Choong Wook LEE
Korean Journal of Radiology 2025;26(2):204-204
5.Erratum to "Investigating the Immune-Stimulating Potential of β-Glucan from Aureobasidium pullulans in Cancer Immunotherapy" Biomol Ther 32(5), 556-567 (2024)
Jae-Hyeon JEONG ; Dae-Joon KIM ; Seong-Jin HONG ; Jae-Hee AHN ; Dong-Ju LEE ; Ah-Ra JANG ; Sungyun KIM ; Hyun-Jong CHO ; Jae-Young LEE ; Jong-Hwan PARK ; Young-Min KIM ; Hyun-Jeong KO
Biomolecules & Therapeutics 2025;33(1):233-233
6.Erratum to "Investigating the Immune-Stimulating Potential of β-Glucan from Aureobasidium pullulans in Cancer Immunotherapy" Biomol Ther 32(5), 556-567 (2024)
Jae-Hyeon JEONG ; Dae-Joon KIM ; Seong-Jin HONG ; Jae-Hee AHN ; Dong-Ju LEE ; Ah-Ra JANG ; Sungyun KIM ; Hyun-Jong CHO ; Jae-Young LEE ; Jong-Hwan PARK ; Young-Min KIM ; Hyun-Jeong KO
Biomolecules & Therapeutics 2025;33(1):233-233
7.Changing Gadolinium-Based Contrast Agents to Prevent Recurrent Acute Adverse Drug Reactions: 6-Year Cohort Study Using Propensity Score Matching
Min Woo HAN ; Chong Hyun SUH ; Pyeong Hwa KIM ; Seonok KIM ; Ah Young KIM ; Kyung-Hyun DO ; Jeong Hyun LEE ; Dong-Il GWON ; Ah Young JUNG ; Choong Wook LEE
Korean Journal of Radiology 2025;26(2):204-204
8.Changing Gadolinium-Based Contrast Agents to Prevent Recurrent Acute Adverse Drug Reactions: 6-Year Cohort Study Using Propensity Score Matching
Min Woo HAN ; Chong Hyun SUH ; Pyeong Hwa KIM ; Seonok KIM ; Ah Young KIM ; Kyung-Hyun DO ; Jeong Hyun LEE ; Dong-Il GWON ; Ah Young JUNG ; Choong Wook LEE
Korean Journal of Radiology 2025;26(2):204-204
10.Changing Gadolinium-Based Contrast Agents to Prevent Recurrent Acute Adverse Drug Reactions: 6-Year Cohort Study Using Propensity Score Matching
Min Woo HAN ; Chong Hyun SUH ; Pyeong Hwa KIM ; Seonok KIM ; Ah Young KIM ; Kyung-Hyun DO ; Jeong Hyun LEE ; Dong-Il GWON ; Ah Young JUNG ; Choong Wook LEE
Korean Journal of Radiology 2025;26(2):204-204

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