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Alrefai AA, Ramadan AN, Omar MM, Elghobashy YA, Soliman SE. Association between genetic variants of GRM7 (rs1396409 and rs9883258) and treatment outcomes in Schizophrenic Egyptian patients. NUCLEOSIDES, NUCLEOTIDES & NUCLEIC ACIDS 2023; 43:540-556. [PMID: 38723257 DOI: 10.1080/15257770.2023.2283184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 11/07/2023] [Indexed: 06/06/2024]
Abstract
BACKGROUND AND AIM This study evaluated the association between rs1396409 and rs9883258 and the risk of schizophrenia (SCZ) and treatment outcomes in Egyptian patients. METHODS This study included 88 patients with SCZ and 88 healthy controls. Lipid profile was assayed. Genotyping of rs1396409 and rs9883258 polymorphisms was analyzed using real-time PCR. RESULTS The rs1396409 AG genotype frequency was significantly associated with SCZ risk (p = 0.002). Also, significant increased risk of SCZ was observed under allelic (p = 0.001), dominant (p = 0.001) and overdominant (p = 0.001) genetic model of rs1396409. However, rs9883258 AA genotype revealed nonsignificant association with SCZ. Cases with the rs1396409AG genotype exhibited hypertriglyceridemia (p < 0.001) and hypercholesterolemia (p = 0.001). In total, 72.3% and 74.5% of the cases presented with rs1396409 AG have negative symptoms (p = 0.022) and exhibited poor drug response (p = 0.023), respectively; all cases with rs1396409 GG genotype attempted suicide (p = 0.002) and are drug-free (p = 0.003). SCZ patients with negative symptoms had hypercholesterolemia (p = 0.008) mainly low-density lipoproteins (LDLc) (p = 0.016), and those with cognitive symptoms presented with low level of high-density lipoprotein (HDLc) (p = 0.023). Moreover, the multivariate regression analysis revealed that both rs1396409 G allele and HDLc were predictors of SCZ (p = 0.003 and 0.001, resp.). CONCLUSION The current study concluded that metabotropic glutamate receptor 7 (GRM7) rs1396409 AG could be a potential biomarker for SCZ diagnosis. It also revealed an independent association between the GRM7 rs1396409 G allele, HDLc and SCZ development.
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Affiliation(s)
- Abeer A Alrefai
- Medical Biochemistry and Molecular Biology Department, Faculty of Medicine, Menoufia University, Menoufia, Egypt
- Biochemistry Department, Faculty of Medicine, UQU, Mecca, KSA
| | - Ahmed N Ramadan
- Neuropsychiatry Department, Faculty of Medicine, Menoufia University, Menoufia, Egypt
| | - Marwa M Omar
- Clinical Pathology Departments, Faculty of Medicine, Menoufia University, Menoufia, Egypt
| | | | - Shimaa E Soliman
- Medical Biochemistry and Molecular Biology Department, Faculty of Medicine, Menoufia University, Menoufia, Egypt
- Medical Biochemistry Unit, Department of Pathology, College of Medicine, Qassim University, Buraydah, KSA
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Chen H, Cao T, Zhang B, Cai H. The regulatory effects of second-generation antipsychotics on lipid metabolism: Potential mechanisms mediated by the gut microbiota and therapeutic implications. Front Pharmacol 2023; 14:1097284. [PMID: 36762113 PMCID: PMC9905135 DOI: 10.3389/fphar.2023.1097284] [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: 11/13/2022] [Accepted: 01/12/2023] [Indexed: 01/26/2023] Open
Abstract
Second-generation antipsychotics (SGAs) are the mainstay of treatment for schizophrenia and other neuropsychiatric diseases but cause a high risk of disruption to lipid metabolism, which is an intractable therapeutic challenge worldwide. Although the exact mechanisms underlying this lipid disturbance are complex, an increasing body of evidence has suggested the involvement of the gut microbiota in SGA-induced lipid dysregulation since SGA treatment may alter the abundance and composition of the intestinal microflora. The subsequent effects involve the generation of different categories of signaling molecules by gut microbes such as endogenous cannabinoids, cholesterol, short-chain fatty acids (SCFAs), bile acids (BAs), and gut hormones that regulate lipid metabolism. On the one hand, these signaling molecules can directly activate the vagus nerve or be transported into the brain to influence appetite via the gut-brain axis. On the other hand, these molecules can also regulate related lipid metabolism via peripheral signaling pathways. Interestingly, therapeutic strategies directly targeting the gut microbiota and related metabolites seem to have promising efficacy in the treatment of SGA-induced lipid disturbances. Thus, this review provides a comprehensive understanding of how SGAs can induce disturbances in lipid metabolism by altering the gut microbiota.
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Affiliation(s)
- Hui Chen
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, China,Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, China,Institute of Clinical Pharmacy, Central South University, Changsha, China,International Research Center for Precision Medicine, Transformative Technology and Software Services, Changsha, Hunan, China
| | - Ting Cao
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, China,Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, China,Institute of Clinical Pharmacy, Central South University, Changsha, China,International Research Center for Precision Medicine, Transformative Technology and Software Services, Changsha, Hunan, China
| | - Bikui Zhang
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, China,Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, China,Institute of Clinical Pharmacy, Central South University, Changsha, China,International Research Center for Precision Medicine, Transformative Technology and Software Services, Changsha, Hunan, China,*Correspondence: Bikui Zhang, ; Hualin Cai,
| | - Hualin Cai
- Department of Pharmacy, The Second Xiangya Hospital, Central South University, Changsha, China,Xiangya School of Pharmaceutical Sciences, Central South University, Changsha, China,Institute of Clinical Pharmacy, Central South University, Changsha, China,International Research Center for Precision Medicine, Transformative Technology and Software Services, Changsha, Hunan, China,*Correspondence: Bikui Zhang, ; Hualin Cai,
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