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"Leptin"

Original Articles
The Association Between Serum Leptin Levels and Post-Stroke Depression: A Retrospective Clinical Study
Jin Young Lee, Oh Kyung Lim, Ju Kang Lee, Yongbum Park, Cham Kim, Jin Won Yoon, Ki Deok Park
Ann Rehabil Med 2015;39(5):786-792.   Published online October 26, 2015
DOI: https://doi.org/10.5535/arm.2015.39.5.786
Objective

To investigate the question of whether serum leptin levels might be associated with post-stroke depression.

Methods

We studied 130 patients who experienced a first episode of stroke of more than three months' duration, without any previous history of depression or speech disorders. Data were collected regarding the patient demographics, depressive mood (Diagnostic and Statistical Manual of Mental Disorders 4th edition [DSM-IV] criteria and Beck Depression Inventory) and serum leptin levels measured by an enzyme-linked immunosorbent assay (ELISA). In addition, the Korean version of Modified Barthel Index (K-MBI) and Korean version of Mini-Mental State Examination (K-MMSE) were used to assess the subjects' independence, in regard to the activities of daily living and cognition. A statistical analysis was performed to determine differences the serum leptin levels between patients with depression and those without depression, and to determine the difference in the MBI and K-MMSE scores between the groups separated according to the serum leptin levels.

Results

Higher serum leptin levels were observed in patients with depression, compared with those without depression (38.5 ng/mL [range, 25.1-59.2 ng/mL] vs. 8.2 ng/mL [range, 4.9-17.8 ng/mL]; p<0.01. The serum leptin level showed an association with depression (odds ratio, 1.21; 95% confidence interval, 1.01-1.45; p=0.021). The K-MMSE and K-MBI improvement scores were lower, with statistical significance, in the group with the highest leptin level (>30 mg/dL), compared to the other two groups.

Conclusion

High serum leptin levels are associated with depression after stroke, and patients with elevated serum leptin levels were disadvantaged in regard to functional and cognitive outcomes.

Citations

Citations to this article as recorded by  
  • Analysis of the Incidence and Influencing Factors of Depression in the Acute Stage of Ischemic Stroke: A Retrospective Clinical Study
    Xiao Zhou, Saquib Waheed, Xinyin Cao, Madiha Fatim, Xiaohong Fu, Shilong Deng, Chong Chen, Sudong Qi, Hao Sun, Ke Cheng, Libo Zhao, Changlong Zhou
    Brain and Behavior.2025;[Epub]     CrossRef
  • Whether serum leptin and insulin-like growth factor-1 are predictive biomarkers for post-stroke depression: A meta-analysis and systematic review
    Qi Wang, Taotao Jiang, Rundong Li, Ting Zheng, Qian Han, Manxia Wang
    Journal of Psychiatric Research.2024; 169: 347.     CrossRef
  • Major depressive disorder: hypothesis, mechanism, prevention and treatment
    Lulu Cui, Shu Li, Siman Wang, Xiafang Wu, Yingyu Liu, Weiyang Yu, Yijun Wang, Yong Tang, Maosheng Xia, Baoman Li
    Signal Transduction and Targeted Therapy.2024;[Epub]     CrossRef
  • Inflammatory biomarkers of ischemic stroke
    Amedeo Tirandi, Cosimo Sgura, Federico Carbone, Fabrizio Montecucco, Luca Liberale
    Internal and Emergency Medicine.2023; 18(3): 723.     CrossRef
  • Effect of acute and long-term exercise on leptin levels in depressed outpatients
    Darlene Heinen, Andreas Heissel, Stephan Heinzel, Thomas Fydrich, Andreas Ströhle, Michael A. Rapp, Heike Vogel
    BMC Public Health.2023;[Epub]     CrossRef
  • Understanding Why Post-Stroke Depression May Be the Norm Rather Than the Exception: The Anatomical and Neuroinflammatory Correlates of Post-Stroke Depression
    Tissa Wijeratne, Carmela Sales
    Journal of Clinical Medicine.2021; 10(8): 1674.     CrossRef
  • Behavioral assessment of post-stroke depression and anxiety in rodents
    Danyang Chen, Junmin Wang, Yinpei Xing, Peijun Jia, Yuheng Zhang, Jiarui Wang, Honglei Ren, Anh Le, Xuemei Chen, Jian Wang
    Brain Hemorrhages.2020; 1(2): 105.     CrossRef
  • Ischemic Stroke and Depression Biomarkers: Are There Specific Markers for Post-Stroke Depression?
    M. Yu. Kasatkina, I. S. Zhanin, N. V. Gulyaeva
    Neurochemical Journal.2020; 14(4): 353.     CrossRef
  • Serum leptin is associated with first-ever ischemic stroke, lesion size and stroke severity in a Chinese cohort
    Guoyi Liu, Minna Dong, Shu Ma, Liyan Fu, Yun Xiao, Lianmei Zhong, Jia Geng
    Neurological Research.2019; 41(2): 125.     CrossRef
  • Role of Leptin in Mood Disorder and Neurodegenerative Disease
    Xiaohan Zou, Lili Zhong, Cuilin Zhu, Haisheng Zhao, Fangyi Zhao, Ranji Cui, Shuohui Gao, Bingjin Li
    Frontiers in Neuroscience.2019;[Epub]     CrossRef
  • Leptin and adiponectin levels in major depressive disorder: A systematic review and meta-analysis
    Bing Cao, Yan Chen, Elisa Brietzke, Danielle Cha, Aisha Shaukat, Zihang Pan, Caroline Park, Mehala Subramaniapillai, Hannah Zuckerman, Kiran Grant, Rodrigo B. Mansur, Roger S. McIntyre
    Journal of Affective Disorders.2018; 238: 101.     CrossRef
  • Leptin, cardiovascular diseases and type 2 diabetes mellitus
    Niki Katsiki, Dimitri P Mikhailidis, Maciej Banach
    Acta Pharmacologica Sinica.2018; 39(7): 1176.     CrossRef
  • Poststroke Depression Biomarkers: A Narrative Review
    Oleg A. Levada, Alexandra S. Troyan
    Frontiers in Neurology.2018;[Epub]     CrossRef
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The Relations between Bone Density and Plasma Leptin in Postmenopausal Women.
Choi, Eun
J Korean Acad Rehabil Med 2001;25(3):486-490.

Objective: To investigate the relationship between the plasma leptin concentration and bone metabolism in postmenopausal women with osteoporosis to improve the understanding of the role of leptin in controlling bone mass.

Method: Fifty four postmenopausal women (ages 64⁑8.59 years, body weights 58.14⁑6.92 kg) with osteoporosis were included. The biochemical markers of bone metabolism and serum leptin concentration were measured using the radioimmunoassay. Bone mineral densities were measured by dual energy X-ray absorptiometry. And we investigate the correlation between serum leptin concentration and the biochemical markers of bone metabolism or bone mineral density.

Results: The bone mineral densities were 0.639⁑0.130 g/cm2 in mid-lumbar area, 0.684⁑0.098 g/cm2 in femoral neck and 0.491⁑0.117 g/cm2 in Ward's triangle. The mean value of serum osteocalcin was 26.84⁑16.73 ng/ml, the mean value of urine deoxypyridinoline was 11.84⁑6.08 nmol/mmol Cr, and the plasma concentration of leptin was 11.51⁑8.64 ng/ml. There was no correlation between plasma leptin concentrations and the markers of bone metabolism or bone mineral density.

Conclusion: We could not confirm the significant correlation between the circulating leptin concentration and the bone mass in postmenopausal women. Our data suggest circulating plasma leptin does not have a significant direct influence on bone metabolism and bone mass in postmenopausal women.

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