Hypoglycemic and anti‑depressant effects of Zuogui Jiangtang Jieyu formulation in a model of unpredictable chronic mild stress in rats with diabetes mellitus

Wang,Yu‑Hong; Yin,Ling‑Tao; Yang,Hui; Li,Xin‑Liang; Wu,Kai‑Ge

doi:10.3892/etm.2014.1681

Hypoglycemic and anti‑depressant effects of Zuogui Jiangtang Jieyu formulation in a model of unpredictable chronic mild stress in rats with diabetes mellitus

Authors:
- Yu‑Hong Wang
- Ling‑Tao Yin
- Hui Yang
- Xin‑Liang Li
- Kai‑Ge Wu
View Affiliations

Affiliations: Hunan Key Laboratory of Chinese Materia Medica Powder and Innovative Drugs Established by Provincial and Ministry, Changsha, Hunan 410007, P.R. China, College of Pharmacy, Hunan University of Chinese Medicine, Changsha, Hunan 410208, P.R. China, Department of Traditional Chinese Medicine, Xiangya Hospital, Central South University, Changsha, Hunan 410219, P.R. China
Published online on: April 14, 2014 https://doi.org/10.3892/etm.2014.1681
Pages: 281-285

Metrics: Total Views: 0 (Spandidos Publications: | PMC Statistics: )

Metrics: Total PDF Downloads: 0 (Spandidos Publications: | PMC Statistics: )

Cited By (CrossRef): 0 citations Loading Articles...

Abstract

This study aimed to investigate the hypoglycemic, lipid‑lowering and antidepressant effects of Zuogui Jiangtang Jieyu formulation (ZGJTJY) in a model of unpredictable chronic mild stress (UCMS) in rats with diabetes mellitus (DM; the UCMS‑DM model). Sixty rats were randomly divided into blank control, vehicle (model plus vehicle), positive control (model plus metformin and fluoxetine), and high, medium and low dose ZGJTJY (model plus high, medium and low doses of ZGJTJY, respectively) groups. Following establishment of DM by a high‑fat diet with intraperitoneal injection of streptozotocin (38 mg/kg), the depression model was established by application of UCMS for 28 days. The behavioral scores of the rats were detected in an open field test and Morris water maze test. The levels of blood glucose, glycosylated hemoglobin (HbA1c) and blood lipids were assayed. The total scores of the open field test and the space exploration times (SETs) in the Morris water maze test were significantly lower and the escape latency (EL) times in the Morris water maze test were significantly longer in the vehicle group compared with those in the blank control group. In addition, in the vehicle group, the levels of blood glucose, HbA1c, total cholesterol (TC), triglycerides (TGs) and low‑density lipoprotein cholesterol (LDL‑C) were significantly higher and the levels of high‑density lipoprotein cholesterol (HDL‑C) were significantly lower compared with those in the blank control group. The high dose of ZGJTJY decreased the locomotor activity levels in the open field test, the EL times of the model on day 4, the SETs in the Morris water maze test and the HDL‑C levels, and reduced the blood glucose, HbA1c, TC, TG and LDL‑C levels compared with those in the model group. Thus, ZGJTJY is a potential candidate for the prevention and treatment of the comorbidity of depression with DM.

View Figures

View References

1	Lavergne F and Jay TM: A new strategy for antidepressant prescription. Front Neurosci. 4:1922010. View Article : Google Scholar : PubMed/NCBI
2	Fujitsuka N, Asakawa A, Hayashi M, et al: Selective serotonin reuptake inhibitors modify physiological gastrointestinal motor activities via 5-HT2c receptor and acyl ghrelin. Biol Psychiatry. 65:748–759. 2009. View Article : Google Scholar
3	Lopez AD, Mathers CD, Ezzati M, Jamison DT and Murray CJ: Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data. Lancet. 367:1747–1757. 2006. View Article : Google Scholar
4	Ning G and Bloomgarden Z: Diabetes in China: prevalence, diagnosis, and control. J Diabetes. 5:3722013. View Article : Google Scholar : PubMed/NCBI
5	Shaw JE, Sicree RA and Zimmet PZ: Global estimates of the prevalence of diabetes for 2010 and 2030. Diabetes Res Clin Pract. 87:4–14. 2010. View Article : Google Scholar : PubMed/NCBI
6	Lin CH, Lee YY, Liu CC, Chen HF, Ko MC and Li CY: Urbanization and prevalence of depression in diabetes. Public Health. 126:104–111. 2012. View Article : Google Scholar : PubMed/NCBI
7	Ali S, Stone MA, Peters JL, Davies MJ and Khunti K: The prevalence of co-morbid depression in adults with Type 2 diabetes: a systematic review and meta-analysis. Diabet Med. 23:1165–1173. 2006. View Article : Google Scholar : PubMed/NCBI
8	Barnard KD, Skinner TC and Peveler R: The prevalence of co-morbid depression in adults with Type 1 diabetes: systematic literature review. Diabet Med. 23:445–448. 2006. View Article : Google Scholar : PubMed/NCBI
9	Katon W, Russo J, Lin EH, et al: Diabetes and poor disease control: is comorbid depression associated with poor medication adherence or lack of treatment intensification? Psychosom Med. 71:965–972. 2009. View Article : Google Scholar : PubMed/NCBI
10	Egede LE and Ellis C: Diabetes and depression: global perspectives. Diabetes Res Clin Pract. 87:302–312. 2010. View Article : Google Scholar : PubMed/NCBI
11	Schram MT, Baan CA and Pouwer F: Depression and quality of life in patients with diabetes: a systematic review from the European depression in diabetes (EDID) research consortium. Curr Diabetes Rev. 5:112–119. 2009. View Article : Google Scholar : PubMed/NCBI
12	Erenmemisoglu A, Ozdogan UK, Saraymen R and Tutus A: Effect of some antidepressants on glycaemia and insulin levels of normoglycaemic and alloxan-induced hyperglycaemic mice. J Pharm Pharmacol. 51:741–743. 1999. View Article : Google Scholar : PubMed/NCBI
13	Goodnick PJ: Use of antidepressants in treatment of comorbid diabetes mellitus and depression as well as in diabetic neuropathy. Ann Clin Psychiatry. 13:31–41. 2001. View Article : Google Scholar : PubMed/NCBI
14	Lee HJ, Lee SY, Kim JH, et al: Depressive mood and quality of life in functional gastrointestinal disorders: differences between functional dyspepsia, irritable bowel syndrome and overlap syndrome. Gen Hosp Psychiatry. 32:499–502. 2010. View Article : Google Scholar
15	Kim HS, Rhee PL, Park J, et al: Gender-related differences in visceral perception in health and irritable bowel syndrome. J Gastroenterol Hepatol. 21:468–473. 2006. View Article : Google Scholar : PubMed/NCBI
16	Tang HS: Study on relative problems of acupuncture and moxibustion for treatment of simple obesity. Zhongguo Zhen Jiu. 28:522–524. 2008.(In Chinese).
17	Salpeter SR, Buckley NS, Kahn JA and Salpeter EE: Meta-analysis: Metformin treatment in persons at risk for diabetes mellitus. Am J Med. 121:149–157. 2008. View Article : Google Scholar : PubMed/NCBI
18	Selvin E, Bolen S, Yeh HC, et al: Cardiovascular outcomes in trials of oral diabetes medications: a systematic review. Arch Intern Med. 168:2070–2080. 2008. View Article : Google Scholar : PubMed/NCBI
19	Srinivasan K, Viswanad B, Asrat L, Kaul CL and Ramarao P: Combination of high-fat diet-fed and low-dose streptozotocin-treated rat: a model for type 2 diabetes and pharmacological screening. Pharmacol Res. 52:313–320. 2005. View Article : Google Scholar : PubMed/NCBI
20	Willner P: Validity, reliability and utility of the chronic mild stress model of depression: a 10-year review and evaluation. Psychopharmacology (Berl). 134:319–329. 1997.PubMed/NCBI
21	Wong TP, Howland JG, Robillard JM, et al: Hippocampal long-term depression mediates acute stress-induced spatial memory retrieval impairment. Proc Natl Acad Sci USA. 104:11471–11476. 2007. View Article : Google Scholar : PubMed/NCBI
22	Cassano P and Fava M: Depression and public health: an overview. J Psychosom Res. 53:849–857. 2002. View Article : Google Scholar : PubMed/NCBI
23	Cassileth BR, Lusk EJ, Strouse TB, et al: Psychosocial status in chronic illness. A comparative analysis of six diagnostic groups. N Engl J Med. 311:506–511. 1984. View Article : Google Scholar : PubMed/NCBI
24	Noël PH, Williams JW Jr, Unützer J, et al: Depression and comorbid illness in elderly primary care patients: impact on multiple domains of health status and well-being. Ann Fam Med. 2:555–562. 2004.PubMed/NCBI
25	Xu Y, Barish PA, Pan J, Ogle WO and O’Donnell JM: Animal models of depression and neuroplasticity: assessing drug action in relation to behavior and neurogenesis. Methods Mol Biol. 829:103–124. 2012. View Article : Google Scholar : PubMed/NCBI
26	Yan HC, Cao X, Das M, Zhu XH and Gao TM: Behavioral animal models of depression. Neurosci Bull. 26:327–337. 2010. View Article : Google Scholar : PubMed/NCBI