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Article
Publication date: 18 November 2021

Mohamed Tiss, Zoubeida Souiy, Lotfi Achour and Khaled Hamden

This study paper aims to evaluate the Phytochemical Composition, anti-obesity, anti-antipyretic and analgesic effect of Ephedra alata (Ea) extracts.

Abstract

Purpose

This study paper aims to evaluate the Phytochemical Composition, anti-obesity, anti-antipyretic and analgesic effect of Ephedra alata (Ea) extracts.

Design/methodology/approach

Obesity was induced in male Wistar rats through a high-fat/fructose diet (HF/FD). Control rats received a standard diet.

Findings

Results of this study showed that the Ea methanol extract (MEEa) exhibited a prominent selective inhibitory effect against lipase activity (IC50 = 1.29 mg/ml) as compared to water and ethyl acetate extracts (with IC50 = 1.63 and 1.89, respectively). Also, MEEa exert antipyretic and analgesic activities. In high-fat-high-fructose diet rats, the administration of MEEa inhibited lipase activity in the intestine, pancreas and serum by 53%, 40% and 53%, respectively. It was found to significantly decrease body weight by 20% (p = 0.09) and delay the absorption of triglycerides (TG), total cholesterol (TC), LDL-cholesterol (LDL-C) and increase HDL-cholesterol (HDL-C). In addition, MEEa efficiently decreased a-amylase activity in the intestine, pancreas and serum by 43%, 26% and 46%, respectively, and blood glucose level by 35% (p = 0.06).

Originality/value

To the best of the authors’ knowledge, this study demonstrates for the first time that MEEa are efficient in preventing obesity and hyperglycemia, pain and fever.

Details

Nutrition & Food Science , vol. 52 no. 1
Type: Research Article
ISSN: 0034-6659

Keywords

Article
Publication date: 6 July 2021

Feroz Khan, Yousaf Ali and Dragan Pamucar

The coronavirus disease 2019 (COVID-19) pandemic has subjected a considerable strain on the healthcare (HC) systems around the world. The most affected countries are developing…

Abstract

Purpose

The coronavirus disease 2019 (COVID-19) pandemic has subjected a considerable strain on the healthcare (HC) systems around the world. The most affected countries are developing countries because of their weak HC infrastructure and meagre resources. Hence, building the resilience of the HC system of such countries becomes essential. Therefore, this study aims to build a resilience-based model on the HC sector of Pakistan to combat the COVID-19 and future pandemics in the country.

Design/methodology/approach

The study uses a novel hybrid approach to formulate a model based on resilient attributes (RAs) and resilient strategies (RSs). In the first step, the multi-criteria decision-making (MCDM) technique, i.e. full consistency method (FUCOM) is used to prioritize the RAs. Whereas, the fuzzy quality function deployment (QFD) is used to rank the RSs.

Findings

The findings suggest “leadership and governance capacity” to be the topmost RA. Whereas “building the operational capacity of the management”, “resilience education” and “Strengthening laboratories and diagnostic systems” are ranked to be the top three RSs, respectively.

Practical implications

The model developed in this study and the prioritization RAs and RSs will help build resilience in the HC sector of Pakistan. The policymakers and the government can take help from the prioritized RAs and RSs developed in this study to help make the current HC system more resilient towards the current COVID-19 and future pandemics in the country.

Originality/value

A new model has been developed to present a sound mathematical model for building resilience in the HC sector consisting of FUCOM and fuzzy QFD methods. The main contribution of the paper is the presentation of a comprehensive and more robust model that will help to make the current HC system of Pakistan more resilient.

Details

Kybernetes, vol. 51 no. 4
Type: Research Article
ISSN: 0368-492X

Keywords

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