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Cardoso D, Romeo A, Durosoy S, Meme N, Chevalier Y, Narcy A. Effect of the physicochemical properties of zinc oxide sources on their bioavailability in broilers. Br Poult Sci 2021; 62:846-851. [PMID: 34114920 DOI: 10.1080/00071668.2021.1940862] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
1. The bioavailability of a trace mineral source is related to its intestinal solubility (bioaccessibility), which in turn is determined by its physicochemical properties. It is still not clear which characteristics are more relevant in affecting solubility and bioavailability of mineral sources. Zinc oxide (ZnO) is a common feed additive used to supplement zinc in the diet of monogastric animals. However, different sources have shown variable responses on animal bioavailability.2. This study hypothesised that different sources of feed grade ZnO have various physicochemical features that lead to distinct bioavailability values. Feed grade ZnO samples collected from the feed industry worldwide were characterised for their physicochemical features and tested in broilers to allow bioavailability determined.3. A total of 135 male Cobb broiler chickens were fed a standard starter diet from day 1 after hatching up to d 7. At d 8, animals were allocated in individual cages and fed one of the following dietary treatments during 15 days: a basal diet with 23.5 ppm of zinc and seven test diets with supplemented ZnO or zinc sulphate (ZnSO4) at 6 or 12 ppm.4. Different sources of ZnO showed an effect of solubility in the stomach and supplementation influenced total Zn levels in the ileum. The bioavailability of the different sources varied from 49% to 160% in relation to ZnSO4. Aggregate size of particles seems to explain most of the variability in the bioavailability of the different sources tested in broilers. In conclusion, physicochemical properties of ZnO can partly explain the variability observed in terms of biological value.
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Affiliation(s)
- D Cardoso
- LAGEPP, CNRS UMR 507, University of Lyon, Villeurbanne, France.,UMR BOA, INRAE, Université de Tours, Nouzilly, France.,R&D Department, Animine, Annecy, France
| | - A Romeo
- R&D Department, Animine, Annecy, France
| | - S Durosoy
- R&D Department, Animine, Annecy, France
| | - N Meme
- UMR BOA, INRAE, Université de Tours, Nouzilly, France
| | - Y Chevalier
- LAGEPP, CNRS UMR 507, University of Lyon, Villeurbanne, France
| | - A Narcy
- UMR BOA, INRAE, Université de Tours, Nouzilly, France
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Subramanian S, Kibachio J, Hoover S, Edwards P, Amukoye E, Amuyunzu–Nyamongo M, Abbam G, Busakhala N, Chakava A, Dick J, Gakunga R, Gathecha G, Hilscher R, Husain MJ, Kaduka L, Kayima J, Karagu A, Kiptui D, Korir A, Meme N, Munoz B, Mwanda W, Mwai D, Mwangi J, Munyoro E, Muriuki Z, Njoroge J, Ogola E, Olale C, Olwal–Modi D, Rao R, Rosin S, Sangoro O, von Rège D, Wata D, Williams P, Yonga G. Research for Actionable Policies: implementation science priorities to scale up non–communicable disease interventions in Kenya. J Glob Health 2017. [PMCID: PMC5441449 DOI: 10.7189/jogh.07.010204] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
| | | | | | | | | | | | - Gisela Abbam
- GE Healthcare, Chalfont St Giles, UK
- Global Diagnostic Imaging, Healthcare IT & Radiation Therapy Trade Association, Arlington, Virginia, USA
| | - Naftali Busakhala
- Moi University, Academic Model Providing Access to Healthcare, Eldoret, Kenya
| | | | - Jonathan Dick
- Moi University, Academic Model Providing Access to Healthcare, Eldoret, Kenya
| | | | | | | | | | - Lydia Kaduka
- Kenya Medical Research Institute, Nairobi, Kenya
| | - James Kayima
- Makerere University, Uganda Heart Institute, Kampala, Uganda
| | | | | | - Anne Korir
- Kenya Medical Research Institute, Nairobi, Kenya
| | - Nkatha Meme
- Makerere University, Uganda Heart Institute, Kampala, Uganda
| | - Breda Munoz
- RTI International, Waltham, Massachusetts USA
| | - Walter Mwanda
- University of Nairobi, Nairobi, Kenya
- Kenyatta National Hospital, Nairobi, Kenya
| | | | | | | | | | | | - Elijah Ogola
- University of Nairobi, Nairobi, Kenya
- Kenyatta National Hospital, Nairobi, Kenya
| | | | | | - Rose Rao
- Novo Nordisk A/S, Copenhagen, Denmark
| | | | | | | | - David Wata
- Kenyatta National Hospital, Nairobi, Kenya
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Meme N, Amwayi S, Nganga Z, Buregyeya E. Prevalence of undiagnosed diabetes and pre-diabetes among hypertensive patients attending Kiambu district Hospital, Kenya: a cross-sectional study. Pan Afr Med J 2015; 22:286. [PMID: 26966482 PMCID: PMC4769056 DOI: 10.11604/pamj.2015.22.286.7395] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2015] [Accepted: 10/20/2015] [Indexed: 01/01/2023] Open
Abstract
INTRODUCTION Hypertension (HTN) and diabetes mellitus (DM) are two common non-communicable diseases (NCDs) that are closely linked: one cannot be properly managed without attention to the other. The aim of this study was to determine the prevalence of undiagnosed diabetic and pre-diabetic states that is abnormal glucose regulation (AGR) and factors associated with it among hypertensive patients in Kiambu Hospital, Kenya. METHODS We conducted a cross-sectional study from February 2014 to April 2014. Hypertensive patients aged ≥ 18 attending the out-patient medical clinic were included in the study. Pregnant and known diabetic patients were excluded. Data was collected on socio-demographics, behavior, and anthropometrics. Diabetes status was based on a Glycated Haemoglobin (HbA1C) classification of ≥ 6.5% for diabetes, 6.0-6.4% for pre-diabetes and ≤ 6.0% for normal. AGR was the dependable variable and included two diabetic categories; diabetes and pre-diabetes. RESULTS We enrolled 334 patients into the study: the mean age was 59 years (Standard deviation = 14.3). Of these patients 254 (76%) were women. Thirty two percent (107/334; 32%) were found to have AGR, with 14% (46) having un-diagnosed DM and 18%(61) with pre-diabetes. Factors associated with AGR were age ≥ 45 (OR = 3.23; 95% CI 1.37 ≥ 7.62), basal metabolic index (BMI) ≥ 25 Kg/m(2) (OR = 3.13; 95% CI 1.53 - 6.41), low formal education (primary/none)(OR= 2; 95%CI 1.08 - 3.56) and family history of DM (OR = 2.19; 95%CI 1.16 - 4.15). CONCLUSION There was a high prevalence of undiagnosed AGR among hypertensive patients. This highlights the need to regularly screen for AGR among hypertensive patients as recommended by WHO.
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Affiliation(s)
- Nkatha Meme
- Field Epidemiology Training Program, Ministry of Health, Kenya
| | - Samuel Amwayi
- Field Epidemiology Training Program, Ministry of Health, Kenya
| | | | - Esther Buregyeya
- Makerere University, College of Health Sciences School of Public Health, Uganda
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