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Yanik T, Durhan ST. Neuroendocrinological and Clinical Aspects of Leptin. Mini Rev Med Chem 2024; 24:886-894. [PMID: 37622709 DOI: 10.2174/1389557523666230825100154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2022] [Revised: 06/20/2023] [Accepted: 07/25/2023] [Indexed: 08/26/2023]
Abstract
Obesity is characterized by an abnormal increase in adipose tissue mass and is regarded as a neurobehavioral as well as a metabolic disorder. Increases in body fat are caused by even slight, long-term discrepancies between energy intake and energy expenditure. It is a chronic condition linked to the metabolic syndrome, a spectrum of risky conditions, such as diabetes, high blood pressure, and heart disease. With a swiftly rising prevalence, obesity has emerged as a significant global health concern. Leptin influences the brain's neuroendocrine and metabolic processes, which is important for maintaining energy homeostasis. White adipose tissue secretes the majority of leptin, and there is a positive correlation between leptin levels in the blood and body fat percentages. The central nervous system is also modulated by leptin levels to modify energy intake and usage. The idea of an obesity cure sparked excitement after it was discovered more than 25 years ago. However, the leptin medication only effectively reduces weight in patients with congenital leptin insufficiency and not in patients with typical obesity who may also have leptin resistance. Recent research has focused on the role of leptin in managing weight reduction and preventing "yo-yo dieting". This review concentrates on the neurological effects of leptin with a focus on therapeutic and diagnostic applications, particularly for childhood obesity.
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Affiliation(s)
- Tulin Yanik
- Department of Biological Sciences, Middle East Technical University, Ankara, 06800, Turkey
| | - Seyda Tugce Durhan
- Department of Biological Sciences, Middle East Technical University, Ankara, 06800, Turkey
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Zhang L, Zhu M, Liu X, Zhao Z, Han P, Lv L, Yang C, Han Y. Calorie-restricted diet mitigates weight gain and metabolic abnormalities in obese women with schizophrenia: a randomized controlled trial. Front Nutr 2023; 10:1038070. [PMID: 37215202 PMCID: PMC10198382 DOI: 10.3389/fnut.2023.1038070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Accepted: 04/10/2023] [Indexed: 05/24/2023] Open
Abstract
Background Obesity is a prevalent health problem in patients with schizophrenia, and calorie restriction diet (CRD) achieved effective weight loss and metabolic improvement; however, these have not been rigorously evaluated in obese patients with schizophrenia. Objective To measure the effects of CRD on weight loss and metabolic status in hospitalized obese women with schizophrenia during a 4-week period. Methods Participants were randomly assigned to two groups in a 1:1 ratio. The intervention group (n = 47) was asked to follow a CRD and the control group (n = 48) a normal diet for 4 weeks. Outcomes of body weight, body composition, as well as metabolic parameters were measured at baseline and following the intervention period. Results Forty-five participants completed the 4-week research in both the intervention and control groups. Compared to the normal diet, adherence to the CRD significantly decreased body weight (2.38 ± 1.30 kg), body mass index (0.94 ± 0.52 kg/m2), waist circumference (4.34 ± 2.75 cm), hip circumference (3.37 ± 2.36 cm), mid-upper circumferences, triceps skin-fold thickness, fat mass and free fat mass with large effect sizes (p = <0.001, ηp2 range between 0.145 and 0.571), as well as total cholesterol (0.69 ± 0.70 mmol/L) with a medium effect size (p = 0.028, ηp2 = 0.054). There were no differences between the CRD and control groups in terms of pre-post changes in triglycerides, high- and low-density lipoprotein-cholesterols, as well as systolic and diastolic blood pressures (p > 0.05). Conclusion CRD is preventative of weight gain, but not apparent in intervention for metabolic status in hospitalized obese women with schizophrenia.Clinical trial registration: http://www.chictr.org.cn, ChiCTR-INR-16009185.
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Affiliation(s)
- Lei Zhang
- Department of Clinical Nutrition, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China
| | - Mingwen Zhu
- Department of Clinical Nutrition, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China
| | - Xiangqun Liu
- Department of Clinical Nutrition, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China
| | - Zhijun Zhao
- Department of Clinical Nutrition, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China
| | - Ping Han
- Department of Nutrition and Food Hygiene, School of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Luxian Lv
- Department of Psychiatry, The Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China
- Henan Key Lab of Biological Psychiatry of Xinxiang Medical University, Xinxiang, Henan, China
| | - Chun Yang
- Department of Nutrition and Food Hygiene, School of Public Health, Capital Medical University, Beijing, China
| | - Yong Han
- Henan Key Lab of Biological Psychiatry of Xinxiang Medical University, Xinxiang, Henan, China
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Metabolic Hormones in Schizophrenia Patients with Antipsychotic-Induced Metabolic Syndrome. J Pers Med 2022; 12:jpm12101655. [PMID: 36294794 PMCID: PMC9604670 DOI: 10.3390/jpm12101655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 10/02/2022] [Accepted: 10/03/2022] [Indexed: 11/17/2022] Open
Abstract
Metabolic syndrome (MetS) is a common complication of schizophrenia that is quite exacerbated by long-term use of (atypical) antipsychotics. The mechanism of MetS has neuronal, neuroendocrine, and neuroimmunological components and shows some overlap with those of aspects of schizophrenia. We examined 195 patients with schizophrenia (90 with and 105 without MetS) for the association of serum levels of ghrelin, insulin, and leptin with metabolic abnormalities. Serum glucose levels and lipid profiles were routinely measured with colorimetric enzymatic methods and hormone levels with multiplex analyzers. Leptin levels were highly significantly increased (p < 0.001) in people with MetS (9.966 [5.882; 21.496] vs. 6.35 [2.005; 11.753], Me [Q1; Q3]) and ghrelin levels were actually significantly decreased (p = 0.045). Insulin levels did not differ significantly between those with and without MetS (p = 0.162). In Spearman’s correlation analysis between the hormone levels, body characteristics, and biochemical parameters, significant correlations were seen somewhat more often in people without MetS than in those with MetS and also less often for ghrelin than for the other hormones. We conclude that evidence exists for a role in the development of MetS especially for leptin, but that less is supporting a role for ghrelin.
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The Gender-Specific Association of DRD2 Polymorphism with Metabolic Syndrome in Patients with Schizophrenia. Genes (Basel) 2022; 13:genes13081312. [PMID: 35893053 PMCID: PMC9331510 DOI: 10.3390/genes13081312] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 07/13/2022] [Accepted: 07/20/2022] [Indexed: 02/04/2023] Open
Abstract
Background: Metabolic syndrome is widespread in patients with schizophrenia receiving long-term antipsychotic therapy. Dopamine D2 receptors play an important role in mediating both the therapeutic actions of antipsychotics and their side effects. The present study examined the association of two polymorphisms of the DRD2 gene with metabolic syndrome in patients with schizophrenia. Methods: We examined 517 patients from several regions of Siberia (Russia) with a clinical diagnosis of schizophrenia. Genotyping of two single nucleotide polymorphisms rs1799732 and rs4436578 of the dopamine D2 receptor gene (DRD2) was performed in a population of 471 patients. The results were analyzed using chi-square tests. Results: Functional polymorphism rs1799732 of the DRD2 gene is associated with drug-induced metabolic syndrome in women with schizophrenia. Conclusions: Our results show that the DRD2 gene may be involved in the pathogenesis of metabolic disorders in patients with schizophrenia. Further analysis of possible genetic markers will allow for personalized treatment with minimal side effects and optimal efficacy. This which seems relevant in light of the recent focus on improving the quality of life and ensuring a high level of social adaptation of patients with schizophrenia.
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Yong N, Pan J, Li X, Yu L, Hou X. Influencing factors of obesity in community patients with deficit schizophrenia: a cross-sectional study. Eur J Med Res 2022; 27:90. [PMID: 35690794 PMCID: PMC9188211 DOI: 10.1186/s40001-022-00706-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2021] [Accepted: 05/14/2022] [Indexed: 11/17/2022] Open
Abstract
Background Obesity is very common in patients with schizophrenia. We aimed to evaluate the influencing factors of obesity in community patients with deficit schizophrenia, to provide implication for schizophrenia management in community. Methods We selected patients with deficit schizophrenia who lived in 10 communities in our city from March 1 to June 30, 2021. The characteristics of included schizophrenia patients were evaluated and analyzed. Pearson correlation analysis was conducted to evaluate the obesity and related characteristics. Logistic regression analyses were conducted to assess the risk factors of obesity in patients with schizophrenia. Results A total of 284 patients with schizophrenia were included, the incidence of obesity in patients with schizophrenia was 56.70%. gender (r = 0.619), waist circumference (r = 0.644), BMI (r = 0.891), diabetes (r = 0.698), FG (r = 0.582), triglyceride (r = 0.618), HDL-C (r = −0.644), LDL-C (r = 0.583), apolipoprotein B (r = 0.595), and PANSS score (r = 0.813) were all correlated with the obesity in patients with schizophrenia (all p < 0.05). Logistic regression analysis indicated that female (OR 2.129, 95% CI 1.615–3.022), waist circumference ≥ 90 cm (OR 3.814, 95% CI 2.778 ~ 4.312), diabetes (OR 2.856, 95% CI 1.905 ~ 3.448), FG ≥ 88 mg/dL (OR 1.551, 95% CI 1.284 ~ 2.183), triglyceride ≥ 160 mg/dL (OR 1.804, 95% CI 1.236–2.845), HDL-C ≤ 0.8 mmol/L (OR 2.032, 95% CI 1.614–3.079), LDL-C ≥ 2.0 mmol/L (OR 1.926, 95% CI 1.442–2.041) and apolipoprotein B ≥ 0.70 g/L (OR 2.119, 95% CI 1.658–2.873) were the risk factors of obesity in patients with schizophrenia (all p < 0.05). Conclusions The obesity rate of patients with deficit schizophrenia in the community is high, and there are many associated risk factors. Early intervention targeted on those risk factors are warranted to reduce the obesity in schizophrenia patients.
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Affiliation(s)
- Na Yong
- Mental Health Center, The Affiliated Hospital of North Sichuan Medical College, Sichuan, 637000, Nanchong, China
| | - Jiyang Pan
- Department of Psychiatry, The First Affiliated Hospital of Jinan University, No. 613 Huangpu Avenue West, Tianhe District, 510632, Guangzhou, China.
| | - Xuehua Li
- Mental Health Center, The Affiliated Hospital of North Sichuan Medical College, Sichuan, 637000, Nanchong, China
| | - Ling Yu
- Mental Health Center, The Affiliated Hospital of North Sichuan Medical College, Sichuan, 637000, Nanchong, China
| | - Xin Hou
- Mental Health Center, The Affiliated Hospital of North Sichuan Medical College, Sichuan, 637000, Nanchong, China
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Boiko AS, Pozhidaev IV, Paderina DZ, Mednova IA, Goncharova AA, Fedorenko OY, Kornetova EG, Semke AV, Bokhan NA, Loonen AJM, Ivanova SA. Gene Polymorphisms of Hormonal Regulators of Metabolism in Patients with Schizophrenia with Metabolic Syndrome. Genes (Basel) 2022; 13:genes13050844. [PMID: 35627229 PMCID: PMC9141866 DOI: 10.3390/genes13050844] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Revised: 05/04/2022] [Accepted: 05/06/2022] [Indexed: 12/15/2022] Open
Abstract
Background: Metabolic syndrome (MetS) is a common complication of long-term treatment of persons with schizophrenia taking (atypical) antipsychotics. In this study, we investigated the existence of an association with polymorphisms of genes for four hormones that regulate energy metabolism. Methods: We recruited 517 clinically admitted white patients (269M/248F) with a verified diagnosis of schizophrenia (ICD-10) and with a stable physical condition. Participants were classified for having or not having MetS and genotyped for 20 single-nucleotide polymorphisms (SNPs) in the genes encoding insulin-induced gene 2 (INSIG2), ghrelin (GHRL), leptin (LEP), and leptin receptor (LEPR). Results: The 139 patients (26.9%) with MetS were significantly more likely to be women, older, and ill longer, and had a larger body mass index (BMI). Four polymorphisms (rs10490624, rs17587100, rs9308762, and rs10490816) did not meet the Hardy–Weinberg equilibrium (HWE) criterion and were excluded. Only genotypes and alleles of the rs3828942 of LEP gene (chi2 = 7.665, p = 0.022; chi2 = 5.136, p = 0.023) and the genotypes of the rs17047718 of INSIG2 gene (chi2 = 7.7, p = 0.021) had a significant association with MetS. Conclusions: The results of our study suggest that the LEP and INSIG2 genes play a certain causal role in the development of MetS in patients with schizophrenia.
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Affiliation(s)
- Anastasiia S. Boiko
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (A.S.B.); (I.V.P.); (D.Z.P.); (I.A.M.); (A.A.G.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
| | - Ivan V. Pozhidaev
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (A.S.B.); (I.V.P.); (D.Z.P.); (I.A.M.); (A.A.G.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
| | - Diana Z. Paderina
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (A.S.B.); (I.V.P.); (D.Z.P.); (I.A.M.); (A.A.G.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
| | - Irina A. Mednova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (A.S.B.); (I.V.P.); (D.Z.P.); (I.A.M.); (A.A.G.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
| | - Anastasya A. Goncharova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (A.S.B.); (I.V.P.); (D.Z.P.); (I.A.M.); (A.A.G.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
| | - Olga Yu. Fedorenko
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (A.S.B.); (I.V.P.); (D.Z.P.); (I.A.M.); (A.A.G.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
| | - Elena G. Kornetova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (A.S.B.); (I.V.P.); (D.Z.P.); (I.A.M.); (A.A.G.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
- Department of Psychiatry, Addictology and Psychotherapy, Siberian State Medical University, 634050 Tomsk, Russia
| | - Arkadiy V. Semke
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (A.S.B.); (I.V.P.); (D.Z.P.); (I.A.M.); (A.A.G.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
| | - Nikolay A. Bokhan
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (A.S.B.); (I.V.P.); (D.Z.P.); (I.A.M.); (A.A.G.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
- Department of Psychiatry, Addictology and Psychotherapy, Siberian State Medical University, 634050 Tomsk, Russia
| | - Anton J. M. Loonen
- Unit of PharmacoTherapy, -Epidemiology, and -Economics, Groningen Research Institute of Pharmacy, Faculty of Science and Engineering, University of Groningen, 9713AV Groningen, The Netherlands
- Correspondence:
| | - Svetlana A. Ivanova
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634014 Tomsk, Russia; (A.S.B.); (I.V.P.); (D.Z.P.); (I.A.M.); (A.A.G.); (O.Y.F.); (E.G.K.); (A.V.S.); (N.A.B.); (S.A.I.)
- Department of Psychiatry, Addictology and Psychotherapy, Siberian State Medical University, 634050 Tomsk, Russia
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Orlov YL, Anashkina AA. Life: Computational Genomics Applications in Life Sciences. Life (Basel) 2021; 11:life11111211. [PMID: 34833087 PMCID: PMC8622464 DOI: 10.3390/life11111211] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 11/06/2021] [Indexed: 01/19/2023] Open
Affiliation(s)
- Yuriy L. Orlov
- The Digital Health Institute, I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), 119991 Moscow, Russia;
- Life Sciences Department, Novosibirsk State University, 630090 Novosibirsk, Russia
- Agrarian and Technological Institute, Peoples’ Friendship University of Russia, 117198 Moscow, Russia
- Correspondence:
| | - Anastasia A. Anashkina
- The Digital Health Institute, I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University), 119991 Moscow, Russia;
- Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia
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