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Omolaso BO, Adesanwo JK, Ishola AA, Adegoke AG, Akingbule FO, Ipadeola YA, Adewole KE. Antidiarrheal activity of Bridelia ferruginea bark methanolic extract involves modulation ATPases in mice and inhibition of muscarinic acetylcholine receptor (M3) and prostaglandin E2 receptor 3 (EP 3) in silico. JOURNAL OF COMPLEMENTARY & INTEGRATIVE MEDICINE 2023; 20:757-771. [PMID: 34727589 DOI: 10.1515/jcim-2021-0240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 10/21/2021] [Indexed: 11/15/2022]
Abstract
OBJECTIVES Diarrhea, an abnormal state in which the individual has about three or more daily bowel movements, is now considered one of the most challenging global public health problems. Using plant products, such as Bridelia ferruginea is an alternative treatment option. The objective of this study was to investigate the antidiarrheal activity of B. ferruginea bark methanolic extract (BfME) and the mechanisms involved. METHODS BfME antidiarrheal activity was evaluated in mice model of castor oil-induced diarrhea and enteropooling. To evaluate motility, gastrointestinal transit time was carried out using phenol red meal, while intestinal activities of selected ATPases were also evaluated. Furthermore, the active components in BfME were detected by GC-MS analysis, while molecular docking of the most abundant compounds with muscarinic acetylcholine receptor (M3) and prostaglandin E2 receptor 3 (EP3) were conducted. RESULTS BfME at 400 and 800 mg/kg showed antidiarrheal activity by delaying onset of diarrhea, reduced gastrointestinal transit and increased intestinal activities of Na+ K+-ATPase, Ca2+ Mg2+-ATPase and Mg2+-ATPase. Molecular docking revealed that γ-sitosterol, α-amyrin, and stigmasterol have outstanding binding affinity for M3 and EP3. CONCLUSIONS In view of these results, the observed antidiarrheal activity possibly occurs via the activation of ATPases activities and inhibition of M3 and EP3.
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Affiliation(s)
- Blessing Olugbamila Omolaso
- Department of Physiology, Faculty of Basic Medical Sciences, University of Medical Sciences, Ondo City, Nigeria
| | | | | | - Adeoti Gbemisola Adegoke
- Department of Physiology, Faculty of Basic Medical Sciences, University of Medical Sciences, Ondo City, Nigeria
| | - Francis O Akingbule
- Department of Physiology, Faculty of Basic Medical Sciences, University of Medical Sciences, Ondo City, Nigeria
| | - Yetunde Ayoka Ipadeola
- Department of Physiology, Faculty of Basic Medical Sciences, University of Medical Sciences, Ondo City, Nigeria
| | - Kayode Ezekiel Adewole
- Department of Biochemistry, Faculty of Basic Medical Sciences, University of Medical Sciences, Ondo City, Ondo State, Nigeria
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Yang X, Xiong W, Huang T, He J. Meteorological and social conditions contribute to infectious diarrhea in China. Sci Rep 2021; 11:23374. [PMID: 34862400 PMCID: PMC8642416 DOI: 10.1038/s41598-021-00932-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 10/20/2021] [Indexed: 11/09/2022] Open
Abstract
Infectious diarrhea in China showed a significant pattern. Many researchers have tried to reveal the drivers, yet usually only meteorological factors were taken into consideration. Furthermore, the diarrheal data they analyzed were incomplete and the algorithms they exploited were inefficient of adapting realistic relationships. Here, we investigate the impacts of meteorological and social factors on the number of infectious diarrhea cases in China. A machine learning algorithm called the Random Forest is utilized. Our results demonstrate that nearly half of infectious diarrhea occurred among children under 5 years old. Generally speaking, increasing temperature or relative humidity leads to increased cases of infectious diarrhea in China. Nevertheless, people from different age groups or different regions own different sensitivities to meteorological factors. The weight of feces that are harmfully treated could be a possible reason for infectious diarrhea of the elderly as well as children under 5 years old. These findings indicate that infectious diarrhea prevention for children under 5 years old remains a primary task in China. Personalized prevention countermeasures ought to be provided to different age groups and different regions. It is essential to bring the weight of feces that are harmfully treated to the forefront when considering infectious diarrhea prevention.
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Affiliation(s)
- Xiang Yang
- grid.24695.3c0000 0001 1431 9176Beijing University of Chinese Medicine, No. 11, Bei San Huan Dong Lu, Chaoyang District, Beijing, 100029 China
| | - Weifeng Xiong
- grid.24695.3c0000 0001 1431 9176Beijing University of Chinese Medicine, No. 11, Bei San Huan Dong Lu, Chaoyang District, Beijing, 100029 China
| | - Tianyao Huang
- grid.12527.330000 0001 0662 3178Tsinghua University, Haidian District, Beijing, 100084 China
| | - Juan He
- Beijing University of Chinese Medicine, No. 11, Bei San Huan Dong Lu, Chaoyang District, Beijing, 100029, China.
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Yushananta P, Ahyanti M. The Effectiveness of Betle Leaf (Piper betle L.) Extract as a Bio-pesticide for Controlled of Houseflies (Musca domestica L.). Open Access Maced J Med Sci 2021. [DOI: 10.3889/oamjms.2021.6886] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND: The housefly, Musca domestica L., spreads disease by contaminating food. However, chemical insecticides used to combat houseflies can pollute the environment and can harm non-target insects and humans; this demands safer alternatives and pest control options.
AIM: This study aims to evaluate the effectiveness of Piper betle L. leaf extract as a bio-pesticide against houseflies.
METHODS: This study using a factorial design with six variations in concentration (0%, 5%, 10%, 15%, 20%, and 25%), four variations in contact time (15, 30, 60, and 120 minutes), and 5-day-old M. domestica adults that were bred from residential areas.
RESULTS: The results show that mortality was affected by concentration (p-value < 0.000), contact time (p-value < 0.000), and the interaction between concentration and contact time (p-value = 0.0007). Of the three, concentration had the greatest effect.
CONCLUSION: As such, the use of Piper betle L. extract is a suitable, cheap, and environmentally safe method for controlling M. domestica.
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Yu M, Jin X, Liang C, Bu F, Pan D, He Q, Ming Y, Little P, Du H, Liang S, Hu R, Li C, Hu YJ, Cao H, Liu J, Fei Y. Berberine for diarrhea in children and adults: a systematic review and meta-analysis. Therap Adv Gastroenterol 2020; 13:1756284820961299. [PMID: 33149763 PMCID: PMC7586028 DOI: 10.1177/1756284820961299] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 09/03/2020] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Diarrhea is a ubiquitous digestive system disease, leading to loss of fluid and electrolytes, and may be life-threatening, especially in children and adults who are immunosuppressed or malnourished. Berberine has a broad-spectrum antibiotic activity and is very widely used to treat diarrhea in China. No systematic review has been carried out to evaluate the evidence presented in clinical trials. The aim of this study was to assess the effectiveness and safety of berberine in diarrhea treatment among children and adults. METHODS Seven databases and two clinical trial registries were searched on 1 September 2019. Randomized controlled trials were included, where participants were diagnosed (first diagnosed) as having diarrhea according to clear diagnostic criteria. Berberine alone or in combination with Western medication as intervention were included. Subgroup analyses were conducted based on children or adults, acute or persistent diarrhea, infectious or noninfectious and treatment courses. Primary outcomes were clinical cure rate and duration of diarrhea. The GRADE tool was used to assess the quality of evidence. RESULTS A total of 38 randomized controlled trials were included involving 3948 participants (including 27 trials on 2702 children) were included. Compared with antibiotics, berberine plus antibiotics showed better results in both adults and in children in general, especially when given for 7 days or 3 days in acute infectious diarrhea of children. Compared with the control groups, using berberine alone or in combination with montmorillonite, probiotics, and vitamin B increased the clinical cure rate of diarrhea. The use of berberine alone or berberine combined with montmorillonite reduced the duration of hospitalization. Using berberine had significantly better laboratory indicators (isoenzyme, inflammatory factors, myocardial enzyme, and fecal trait) and fewer systemic symptoms than the no berberine groups. Overall, 22 of 27 trials on children used berberine as an enema. No deaths and serious adverse events were reported. The quality of evidence of included trials was moderate to low or very low. The impact of different dosages, frequencies and treatment durations on the outcomes was not evaluated due to insufficient number of trials. CONCLUSION This review demonstrated that berberine was generally effective in improving clinical cure rates and shortening the duration of diarrhea compared with control groups. No severe adverse event was reported. However, there is still a lack of high-quality evidence for evaluating the efficacy and safety of berberine. TRIAL REGISTRATION PROSPERO CRD42020151001 (available from http://www.crd.york.ac.uk/PROSPERO/).
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Affiliation(s)
- Mingkun Yu
- Centre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Xuejing Jin
- School of Public Health, University of Alberta, Edmonton, AB, Canada
| | - Changhao Liang
- Centre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Fanlong Bu
- Centre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | | | | | | | - Paul Little
- Primary Care, Population Sciences and Medical Education Unit, University of Southampton, Southampton, UK
| | - Hongbo Du
- Gastroenterology Department, DongZhiMen Hospital, Beijing University of Chinese Medicine, Beijing, China
| | - Shibing Liang
- College of Basic Medical Sciences, Shanxi University of Traditional Chinese Medicine, Taiyuan, Shanxi, China
| | - Ruixue Hu
- Centre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China,Center for Evidence-Based Chinese Medicine, Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
| | - Chengze Li
- College of Integrated Traditional Chinese and Western Medicine, Binzhou Medical University, Yantai, Shandong Province, China
| | - Yanhong Jessika Hu
- Department of Paediatrics, Murdoch Children’s Research Institute, The Royal Children’s Hospital, The University of Melbourne, Melbourne, Victoria, Australia
| | - Huijuan Cao
- Centre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Jianping Liu
- Centre for Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
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Dynamic Model for the Epidemiology of Diarrhea and Simulation Considering Multiple Disease Carriers. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17165692. [PMID: 32781748 PMCID: PMC7460302 DOI: 10.3390/ijerph17165692] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 08/04/2020] [Accepted: 08/05/2020] [Indexed: 12/23/2022]
Abstract
Diarrhea is responsible for killing around 525,000 children every year, even though it is preventable and treatable. This research focuses on both houseflies’ roles and humans’ roles in carrying pathogens causing diarrhea as multiple disease carriers. Both human and fly compartmental models are simulated with five diseases control strategies in order to identify the epidemic dynamics. The framework considers the life cycle of flies modeled into eggs, larvae, pupae, susceptible flies, and carrier flies, while the human system follows a compartment model as susceptible, infected, recovered, and back to susceptible again (SIRS). The relationships are modeled into an ordinary differential equation-based compartmental system. Then, the control parameters of the compartmental framework are analyzed. In order to propose effective control methods, five control strategies are considered: (1) elimination of flies’ breeding site, (2) sanitation, (3) installation of UV light trap, (4) good personal and food hygiene, and (5) water purification. Then, overall, ten control scenarios using the five control strategies are analyzed. Among them, effective control solutions considering various dynamic epidemiology are provided with the simulations and analyses. The proposed framework contributes to an effective control strategy in reducing the number of both flies and infected humans, since it minimizes the spread of the disease and considers cost-effectiveness.
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Meng Q, Liu X, Xie J, Xiao D, Wang Y, Deng D. Epidemiological characteristics of bacillary dysentery from 2009 to 2016 and its incidence prediction model based on meteorological factors. Environ Health Prev Med 2019; 24:82. [PMID: 31883513 PMCID: PMC6935186 DOI: 10.1186/s12199-019-0829-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Accepted: 11/12/2019] [Indexed: 12/19/2022] Open
Abstract
Background This study aimed to analyse the epidemiological characteristics of bacillary dysentery (BD) caused by Shigella in Chongqing, China, and to establish incidence prediction models based on the correlation between meteorological factors and BD, thus providing a scientific basis for the prevention and control of BD. Methods In this study, descriptive methods were employed to investigate the epidemiological distribution of BD. The Boruta algorithm was used to estimate the correlation between meteorological factors and BD incidence. The genetic algorithm (GA) combined with support vector regression (SVR) was used to establish the prediction models for BD incidence. Results In total, 68,855 cases of BD were included. The incidence declined from 36.312/100,000 to 23.613/100,000, with an obvious seasonal peak from May to October. Males were more predisposed to the infection than females (the ratio was 1.118:1). Children < 5 years old comprised the highest incidence (295.892/100,000) among all age categories, and pre-education children comprised the highest proportion (34,658 cases, 50.335%) among all occupational categories. Eight important meteorological factors, including the highest temperature, average temperature, average air pressure, precipitation and sunshine, were correlated with the monthly incidence of BD. The obtained mean absolute percent error (MAPE), mean squared error (MSE) and squared correlation coefficient (R2) of GA_SVR_MONTH values were 0.087, 0.101 and 0.922, respectively. Conclusion From 2009 to 2016, BD incidence in Chongqing was still high, especially in the main urban areas and among the male and pre-education children populations. Eight meteorological factors, including temperature, air pressure, precipitation and sunshine, were the most important correlative feature sets of BD incidence. Moreover, BD incidence prediction models based on meteorological factors had better prediction accuracies. The findings in this study could provide a panorama of BD in Chongqing and offer a useful approach for predicting the incidence of infectious disease. Furthermore, this information could be used to improve current interventions and public health planning.
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Affiliation(s)
- Qiuyu Meng
- School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, 400016, China
| | - Xun Liu
- Department of Healthcare-associated Infection Control, The Second Affiliated Hospital of Military Medical University, Chongqing, 400037, China
| | - Jiajia Xie
- School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, 400016, China
| | - Dayong Xiao
- Institute for Prevention and Control of Endemic and Parasitic Diseases, Chongqing Center for Disease Control and Prevention, Chongqing, 400042, China
| | - Yi Wang
- School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, 400016, China
| | - Dan Deng
- School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, 400016, China.
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