Biochemical Parameters of Laboratory Animals in Iraq: A Meta-analysis Study
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Abstract
Our objective in this work was to estimate normal values of biochemical parameters in laboratory animals in Iraq. Values were pooled from studies conducted in Iraqi universities using a meta-analysis approach. Pertinent peer-reviewed published studies were retrieved from the Iraqi Academic Scientific Journals (IASJ) database. Random-effects inverse-variance model was used to obtain pooled means of the parameters from the set of studies qualified for the analysis. Among a total of 460 records identified from IASJ, 264 records were eligible for the statistical analysis, which reported 102 values for different biochemical parameters. The mean of the sample size for normal animals that was used in the studies including in the analysis were 8, 8, and 6 for rats, mice, and rabbits respectively. The mean ± standard deviation of ages (months) was 2.8 ± 1.0, 3.14 ± 1.15, and 9.2 ± 3.3 for rats, mice, and rabbits respectively. In this analysis, we estimated 31, 14, and 15 parameters from 121, 41, and 26 studies of rats, mice, and rabbits correspondingly. The proportion of variance in the parameters for the analyzed studies due to heterogeneity was significant. Evidence of bias in the estimated values due to small studies was found in some parameters. In conclusion, we encourage researchers to consider the values we provided in this analysis and report details of the sample size, number of animals in each group, sex, exact age, and the accurate units for the estimated values in their studies to facilitate further analyses for more reference values in further analyses.
Received: 04 June 2024
Revised: 02 July 2024
Accepted: 10 September 2024
Published: 28 December 2024
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Taylor K, Alvarez LR. An estimate of the number of animals used for scientific purposes worldwide in 2015. Alternatives to laboratory animals:ATLA.2019;47:196-213. https://doi.org/10.1177/0261192919899853
Delwatta SL, Gunatilake M, Baumans V, Seneviratne MD, Dissanayaka MLB, Batagoda SS, et al. Reference values for selected hematological, biochemical, and physiological parameters of Sprague‐Dawley rats at the Animal House, Faculty of Medicine, University of Colombo, Sri Lanka. Animal Model Exp. Med. 2018; 1: 250–254. https://doi.org/10.1002/ame2.12041
Carbone L. Estimating mouse and rat use in American laboratories by extrapolation from Animal Welfare Act-regulated species. Sci Rep. 2021; 11: 493. https://doi.org/10.1038/s41598-020-79961-0
Alemán CL, Noa M, Más R, Rodeiro I, Mesa R, Menéndez R, et al. Reference data for the principal physiological indicators in three species of laboratory animals. Lab Anim. 2000; 34: 379–385. https://doi.org/10.1258/002367700780387741
Barbee RW, Turner PV. Incorporating Laboratory Animal Science into Responsible Biomedical Research. ILAR J. 2019; 60: 9–16. https://doi.org/10.1093/ilar/ilz017
Awulachew E, Diriba K, Anberbir S. Hematological and Immunological parameters in apparently healthy people in Ethiopia: Systematic review and meta-analysis. Hematol Med Oncol. 2020; 5: 1-6. https://doi.org/10.15761/HMO.1000206
Azeez OH, Mahmood MB, Hassan JS. Effect of nitrate poisoning on some biochemical parameters in rats. Iraqi J Vet Sci. 2011; 25: 47-50. https://doi.org/10.33899/ijvs.2011.5640
Ibrahim IR, Kadhem WM. Effect of selenium and iron in the levels of thyroid hormone and liver enzyme and hematological parameters in male rats treated with manganese chloride. Al-Qadisiyah J Pure Sci. 2015; 20: 112-123. https://iasj.net/iasj/article/123262
Al-Obaidi FJ, Thaker AA, Ramizy A. The Toxic Effect of Pb Nanoparticles Prepared by Laser ablation on Some Biochemical Aspects in Rats. Iraqi J Phys. 2021; 19: 107-114. https://doi.org/10.30723/ijp.v19i48.637
Gattia KJ. Effects of Origanum vulgare on some sperms parameters, biochemical and some hormones in alloxan diabetic mice. Wasit J Sci Med. 2009; 2: 11-29. https://doi.org/10.31185/jwsm.22
Hameed MS. Effect of vitamin E and C supplementation on liver enzymes of mice exposed to sodium nitrate. Diyala J Med. 2015; 9: 68-75.
Muslim ZZ. Effect of Monosodium glutamate (MSG) on tissue and function of liver and kidney and body weight in male albino mice. J Edu Pure Sci – Univ. Thi-Qar. 2020; 10: 1-12. https://iasj.net/iasj/article/239027
Kaim Gh, Obeed, AK, Jasim WK. Physiological, biochemical and histological effect of digoxin on heart and liver in male rabbit. J Kerbala Univ. 2017; 15: 15-21. https://iasj.net/iasj/article/125010
Ali AH. Effects of ethanolic extract of Metracaria chamomela on some physiological parameters in male rabbits. Iraqi J Vet Med. 2015; 39: 26-31. https://doi.org/10.30539/iraqijvm.v39i2.173
Taha IG. The effect of citric acid on some biochemical parameters in male rabbits. Rafidain J Sci. 2018; 27: 10-16. https://doi.org/10.33899/rjs.2018.141068
Haidich AB. Meta-analysis in medical research. Hippokratia. 2010; 14: 29-37. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3049418/
Page MJ, Mckenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021; 372: n71. https://doi.org/10.1136/bmj.n71
Altman DG, Bland JM. Standard error and standard deviation. BMJ. 2005; 331: 903. https://10.1136/bmj.331.7521.903
Borenstein M, Hedges LV, Higgins JP, Rothstein HR. A basic introduction to fixed-effect and random-effects models for meta-analysis. Res Synth Methods. 2010; 1(2): 97–111. https://doi.org/10.1002/jrsm.12
Higgins JPT, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003; 327:557-560. https://doi.org/10.1136/bmj.327.7414.557
Egger M, Davey SG, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997; 315: 629–634. https://doi.org/10.1136/bmj.315.7109.629
He Q, Su G, Liu K, Zhang F, Jiang Y, Gao J, et al. Sex-specific reference intervals of hematologic and biochemical analytes in Sprague-Dawley rats using the nonparametric rank percentile method. PloS one. 2017; 12: e0189837. https://doi.org/10.1371/journal.pone.0189837
Boehm O, Zur B, Koch A, Tran N, Freyenhagen R, Hartmann M, et al. Clinical chemistry reference database for Wistar rats and C57/BL6 mice. Biol Chem. 2007; 388(5): 547–554. https://doi.org/10.1515/BC.2007.061
Otto GP, Rathkolb B, Oestereicher MA, Lengger CJ, Moerth C, Micklich K, et al. Clinical Chemistry Reference Intervals for C57BL/6J, C57BL/6N, and C3HeB/FeJ Mice (Mus musculus). JAALAS. 2016; 55: 375–386. https://pubmed.ncbi.nlm.nih.gov/27423143/
Barbosa B, Praxedes É, Lima M, Pimentel MML, Santos FA, Brito PD, et al. Haematological and Biochemical Profile of Balb-c Mice. Acta Scientiae Veterinariae. 2017; 45: 5. https://doi.org/10.22456/1679-9216.80473
Smith BJ, Hanley PW, Maiga O, Culbert MN, Woods MJ, Cordova K, et al. Hematologic and serum biochemistry reference intervals using defined ASCVP methodology for laboratory natal multimammate mice (Mastomys natalensis). Lab Anim. 2021; 55(5): 417–427. https://doi.org/10.1177/00236772211018587
Shousha SM, Mahmoud MA, Hameed K. Some Haemato-Biochemical Values in White New Zealand Rabbits. IOSR J Agri Vet Sci. 2017; 10: 40-44. https://doi.org/10.9790/2380-1007014044
Özkan Ö, Pekkaya S. Normal values of biochemical parameters in serum of New Zealand White Rabbits. Türk Hijyen ve Deneysel Biyoloji Dergisi. 2019; 76(2): 157-162. https://doi.org/10.5505/TurkHijyen.2018.53254