Polymethoxyflavone purified from Kaempferia parviflora reduces visceral fat in Japanese overweight individuals: a randomised, double-blind, placebo-controlled study

Kaempferia parviflora rhizome extract exerts anti-obesity effect in high-fat diet-induced obese C57BL/6N mice

Kaempferia parviflora (KP) rhizome, also called black ginger, has been used as a herbal medicine for many centuries. This current study was aimed at exploring whether KP rhizome extract (KPE) had anti-obesity effects and the mechanism involved. Five-week-old C57BL/6N male mice were allocated into five groups for 8-week feeding with control diet (CD), high-fat diet (HFD), HFD + 150 mg/kg body weight (BW)/day KPE (HFD+K150), HFD + 300 mg/kg BW/day KPE (HFD+K300), and HFD + 600 mg/kg BW/day KPE (HFD+K600). KPE decreased BW, body fat mass, adipose tissue weight, adipocyte size, and serum levels of glucose, triglycerides, cholesterol, insulin, and leptin in HFD-induced obese C57BL/6N mice. KPE inhibited adipogenesis by decreasing CCAAT/enhancer binding protein α, peroxisome proliferator-activated receptor γ, sterol regulatory element-binding protein-1c, acetyl-CoA carboxylase 1, ATP-citrate lyase, and fatty acid synthase mRNA expression. KPE improved lipolysis by increasing carnitine palmitoyl transferase 1 and hormone-sensitive lipase mRNA expression. These results suggest that KPE may have inhibited HFD-induced obesity by regulating several pathways involved in decreasing adipogenesis and enhancing lipolysis. Thus, the results suggest that KPE (or KP) may be applicable as an anti-obesity agent.

Analytical quality-by-design (AQbD) approach for comprehensive analysis of bioactive compounds from Citrus peel wastes by UPLC

The growing interest in ingredients from natural sources has expanded the need for quality assessments of plant extracts. Analytical quality-by-design (AQbD) has been increasingly applied in regulated environments such as pharmaceutical industries and, more recently, for the bioactive compounds found in botanical materials. This work aimed to obtain qualitative (overall resolution and maximum peak capacity) and quantitative performances for target analytes using AQbD principles. The analytical target profile was elaborated; critical method parameters (independent variables) that affect the critical method attributes (dependent variables) were selected from a risk assessment for a reversed-phase liquid chromatography with diode array detection (RPLC-DAD) method. YMC-Triart C18 (3.0 × 100 mm, 1.9 μm) and a gradient elution using 0.2% acetic acid and methanol:acetonitrile 1:3 (v/v) were chosen as the stationary and mobile phases, respectively. The optimal and robust conditions (temperature at 33.3 °C, flow rate of 0.68 mL.min^-1, and a gradient slope of 4.18%.min^-1) were established by the method operable design region (MODR). The validation was performed by accuracy profiles using 90% expectation tolerance intervals for the selected compounds found in Citrus spp. using C. japonica as blank matrix. The lower limits of quantification for hesperidin, bergapten, herniarin, and citropten were 5.32, 0.40, 0.49, and 0.52 mg.L^-1, respectively (acceptance limit was set at ± 20%). Nobiletin did not show an adequate quantitative performance.

Quantitative analysis of methoxyflavones discriminates between the two types of Kaempferia parviflora

INTRODUCTION

Kaempferia parviflora or black ginger is abundantly cultivated because its rhizomes contain methoxyflavones that have many pharmacological properties. K. parviflora can be divided into two types, based on morphological characteristics, but differences in their chemical compositions have never been explored.

OBJECTIVES

This research aims to find chemical markers that can be used to differentiate between the two types of K. parviflora, the red-leaf and green-leaf types, by quantifying the amounts of methoxyflavones.

MATERIAL AND METHODS

K. parviflora samples were collected from 39 locations in Thailand. Their genetic diversity was assessed by a genotyping-by-sequencing (GBS) technique to construct the population structure. Their chemical compositions were analyzed by high performance liquid chromatography-photodiode array detection to determine the methoxyflavone contents.

RESULTS

The population structure based on >3,000 single nucleotide polymorphism (SNP) markers showed that the samples can be divided into two groups, which were consistent with the classification by leaf margin color (red-leaf and green-leaf types). HPLC analysis revealed 3,5,7,3',4'-pentamethoxyflavone (PMF), 5,7-dimethoxyflavone (DMF), 5,7,4'-trimethoxyflavone (TMF), 3,5,7-trimethoxyflavone and 3,5,7,4'-tetramethoxyflavone as major methoxyflavones that can be used as chemical markers. The red-leaf type showed higher amounts of PMF, TMF and 3,5,7,4'-tetramethoxyflavone than the green-leaf type, while the green-leaf type showed higher amounts of DMF and 3,5,7-trimethoxyflavone than the red-leaf type.

CONCLUSION

These results provide another approach to discriminate the two types of K. parviflora using chemical profiles alongside genetic and morphological analyses. Therefore, a specific type of K. parviflora can be selected over the other based on preferences for a certain methoxyflavone.