Keywords
anti-hypercholesterolemic, Zingiber montanum
This article is included in the ICTROPS 2018 collection.
anti-hypercholesterolemic, Zingiber montanum
See the authors' detailed response to the review by Deny Susanti
Hypercholesterolemia is a health condition characterized by a very high level of cholesterol in the blood1. If it is not well treated, hypercholesterolemia certainly increases coronary heart disease risk2. In current advances, various agents have been made available to treat hypercholesterolemia patients, including HMG CoA reductase inhibitors or statins (i.e. Simvastatin)3,4.
To avoid unintended side effects of artificially made anti-hypercholesterolemic agents, medicinal plants have begun to attract attention for treating hypercholesterolemia. In Indonesia, various locally growing plants have been used for traditional medicine. Among others, Zingiber montanum (J.König) Link ex A.Dietr., which belongs to the family Zingiberaceae, has been recognized to act as a traditional medicine in East Kalimantan, Indonesia, for treating health problems caused by high cholesterol levels5–8. This study, therefore, aimed at investigating anti-hypercholesterolemic effect of Z. montanum.
The sampling of Z. montanum was conducted in the Kutai Kartanegara, East Kalimantan, Indonesia (0°24’18.4”S 117°4’24.7”E). The plant was carefully verified by Ir. Hj. Hastaniah, M.P. to ensure its authenticity. The voucher specimen (voucher no. 27b/UN17.4.3.08/LL/2018) was then deposited in the Laboratory of Dendrology and Forest Ecology, Faculty of Forestry, Mulawarman University, Indonesia.
In the laboratory, the rhizomes of Z. montanum were sliced and dried at room temperature for 3 days. After that, they were crushed and transferred into a glass container. Crushed rhizomes was soaked in absolute ethanol (9401-03 Alcohol, Anhydrous, Reagent, J.T. Baker) for 5 days. The mixture was shaken occasionally with a shaker (3525 Incubator Orbital Shaker, Lab-Line, US). After 5 days, it was filtered (Whatman Filter Paper 11µm, Sigma-Aldrich) and evaporated by using a rotary evaporator (RV06-ML Rotary Evaporator, IKA, Germany). In the end, dried extracts were obtained and stored at 4°C in a dark bottle.
In this study, experiments were designed to follow Federer’s rule, with six groups of induction. For the experiments, 30 male Wistar rats (Rattus norvegicus, weighing 250–350g, aged 12–13 months) were obtained from Animal House of the Faculty of Medicine, Mulawarman University, Indonesia. They were randomly divided into 6 groups, i.e. Group 1 (no treatment, control), Group 2 (high fat diet, control), Group 3 (high fat diet with simvastatin), and Groups 4–6 (high fat diet with separate doses of Z. montanum extract; 100, 200, and 400 mg/kg, respectively). They were acclimatized for one week in a controlled room temperature (25°C) with a 12-hour light/dark cycle. Besides, they were provided with an access to food pellets, while filtered water was provided ad libitum to help them adapt to the new environment. During experiments, each test subject was separately housed in a wire cage (30×30×30 cm). In all treatments, high-fat diets were administered for all test subjects for 4 weeks, in which 10% chicken egg yolk and reused cooking oil were added to their standard pellet diets (JAPFA, Comfeed, Indonesia) with tap water ad libitum.
After 4 weeks of treatment, blood samples were collected from each treatment group separately after an overnight fasting. All test subjects were anesthetized intraperitoneally with a ketamine injection (Hameln, Germany) at a 60 mg/kg BW dose before taking the blood samples. After the anesthetize, each test subjects was euthanized by applying cervical dislocation. Each blood sample was aspirated through the left ventricle of test subject’s heart. Practically, two millilitres of blood were aspirated by using a 3 ml disposable syringe to later be filled into a vaccutainer tube with an anticoagulant. Then, plasma concentrations of triglycerides, total cholesterol, high density lipoproteins (HDLs), and low density lipoproteins (LDLs) were measured in three repetitions for each sample by utilizing an automatic analyzer system (BiOLis 24i; Boeki, Tokyo, Japan).
In this work, statistical analyses were performed in SPSS software version 16.0. Data normality was examined by applying the Shapiro-Wilk normality test. Then, parameter data were analyzed by using ANOVA and post hoc with Tukey test. The analyses set p-value of ≤ 0.05 as being significant.
All protocols taken in this study had been approved for Ethical Animal Care from the Medical and Health Research Ethics Commission, Faculty of Medicine, Mulawarman University with approval no. 81/KEPK-FK/V/2018. All possible efforts had been ensured to ameliorate any suffering of animals treated as test subjects in this research.
Looking at results of the statistical analyses, significant differences were found between total cholesterol (p=0.000), LDL (p=0.000) and triglycerides (p=0.001) (Figure 1) levels achieved between Group 2 (high-fat diet, control) and Group 4–6 (treatments of Z. montanum extracts at different doses). Besides, there was no significant difference in HDL (p=0.830) levels between Group 2 and other groups. Meanwhile, post-hoc Tukey test revealed significant differences between total cholesterol (p=0.000) and LDL (p=0.000) levels of all Z. montanum treatments (Groups 4–6) with the high-fat diet control (Group 2). Then, results for Z. montanum treatment at 400 mg/kg BW doses (Group 6) particularly discovered significant reductions in total cholesterol, LDL and triglycerides (p=0.030) (Table 1).
Group | Total Cholesterol (mg/ml) | HDL (mg/ml) | LDL (mg/ml) | Triglycerides (mg/ml) |
---|---|---|---|---|
HFD control | 241.0 ± 11.6 | 44.8 ± 6.7 | 163.8 ± 13.1 | 161.8 ± 30.6 |
HFD + SIM | 128.2 ± 9.4* | 38.2 ± 11.8 | 73.2 ± 4.7* | 84.2 ± 24.6* |
HFD + ZM-1 | 168.0 ± 25.4* | 40.6 ± 11.2 | 103.1 ± 6.9* | 121.4 ± 28.4 |
HFD + ZM-2 | 144.2 ± 14.9* | 39.2 ± 6.7 | 82.6 ± 3.4* | 112.0 ± 25.0 |
HFD + ZM-3 | 135.2 ± 19.0* | 37.2 ± 14.1 | 77.5 ± 7.7* | 102.6 ± 37.1* |
Normal control | 101.4 ± 2.2* | 36.8 ± 8.4 | 50.3 ± 3.3* | 71.4 ± 19.7* |
Note: HFD = high-fat diet, SIM = simvastatin; ZM-1 = Z. montanum 100 mg/kg;
ZM-2 = Z. montanum 200 mg/kg; ZM-3 = Z. montanum 400 mg/kg
*Tukey post-hoc test significant p<0.05 compared to HFD control
The Z. montanum (Supplementary File 1) has been widely taken as a medicinal plant in Asia. Pharmacological properties of Z. montanum include antimicrobial, antioxidant, insecticidal, anti-cancer, anticholinesterase, and anti-inflammatory9–11. In the literature, previous researches on anti-hypercholesterolemic effects of other Zingiber species mainly focused on Z. officinale (a.k.a. ginger)18. In general, a restoration of changes in low-density lipoprotein and HMG CoA reductase by Z. officinale administration with a high-fat diet has been suggested as an explanation for the effect of ginger in hyperlipidemia treatments19.
In fact, the rhizome extracts of Z. montanum showed the highest total curcuminoid content compared to other Zingiber species7,12. Curcumin as antioxidants would hence be able to efficiently prevent LDL oxidations15. The significant changes in LDL levels suggested Z. montanum to deliver an effect on lipid metabolism16. Curcumin with other chemical compounds from Z. montanum was then suggested to offer anti-hypercholesterolemic effects.
Looking at all results in this study, Z. montanum extract have been discovered to reduce lipid profile levels. The medicinal plant could therefore deliver anti-hypercholesterolemic effects to experimental subjects, making it potential to act as a natural source of the anti-hypercholesterolemic agents.
F1000Research: Dataset 1. Effect of ethanol extract of Z. montanum and simvastatin in total cholesterol, triglycerides, high density lipoproteins (HDL), and low density lipoproteins (LDL) levels after 4 weeks of treatment in a high fat diet rat model., http://dx.doi.org/10.5256/f1000research.16417.d22166817
This work was supported with funding from the Project Implementation Unit IsDB Universitas Mulawarman for financing this research, as part of the implementation of IsDB Grant Research Year of 2018 [448/UN17.45/DL/2018].
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Supplementary File 1: Picture of rhizome of Zingiber montanum (J.Koenig) Link ex A.Dietr.
Views | Downloads | |
---|---|---|
F1000Research | - | - |
PubMed Central
Data from PMC are received and updated monthly.
|
- | - |
Is the work clearly and accurately presented and does it cite the current literature?
Yes
Is the study design appropriate and is the work technically sound?
Yes
Are sufficient details of methods and analysis provided to allow replication by others?
Yes
If applicable, is the statistical analysis and its interpretation appropriate?
Partly
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
Yes
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Animal production
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Natural Product Chemistry, Bioactivity study
Is the work clearly and accurately presented and does it cite the current literature?
Yes
Is the study design appropriate and is the work technically sound?
Yes
Are sufficient details of methods and analysis provided to allow replication by others?
Yes
If applicable, is the statistical analysis and its interpretation appropriate?
Yes
Are all the source data underlying the results available to ensure full reproducibility?
Yes
Are the conclusions drawn adequately supported by the results?
Yes
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Natural Product Chemistry, Bioactivity study
Alongside their report, reviewers assign a status to the article:
Invited Reviewers | ||
---|---|---|
1 | 2 | |
Version 2 (revision) 14 Aug 19 |
read | read |
Version 1 15 Nov 18 |
read |
Click here to access the data.
Spreadsheet data files may not format correctly if your computer is using different default delimiters (symbols used to separate values into separate cells) - a spreadsheet created in one region is sometimes misinterpreted by computers in other regions. You can change the regional settings on your computer so that the spreadsheet can be interpreted correctly.
Provide sufficient details of any financial or non-financial competing interests to enable users to assess whether your comments might lead a reasonable person to question your impartiality. Consider the following examples, but note that this is not an exhaustive list:
Sign up for content alerts and receive a weekly or monthly email with all newly published articles
Already registered? Sign in
The email address should be the one you originally registered with F1000.
You registered with F1000 via Google, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Google account password, please click here.
You registered with F1000 via Facebook, so we cannot reset your password.
To sign in, please click here.
If you still need help with your Facebook account password, please click here.
If your email address is registered with us, we will email you instructions to reset your password.
If you think you should have received this email but it has not arrived, please check your spam filters and/or contact for further assistance.
Comments on this article Comments (0)