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. 2023 Sep 15;32(4-5):250-259.
doi: 10.1159/000534069. Online ahead of print.

Impact of Serotonin Pathway Gene Polymorphisms and Serotonin Levels in Suicidal Behavior

Sneha Sivaramakrishnan, Vettriselvi Venkatesan, Sampath Kumar Paranthaman, R Sathianathan, Swetha Raghavan, Priyadarshee Pradhan

Impact of Serotonin Pathway Gene Polymorphisms and Serotonin Levels in Suicidal Behavior

Sneha Sivaramakrishnan et al. Med Princ Pract. .

Abstract

Objective: Suicide is a significant public health issue and a major cause of death in all ages worldwide. Previous studies have shown the involvement of genetics in suicidal behaviour. This study aimed to assess the role of the genetic variants of the serotonin transporter genes (5HTTLPR, SLC6A4 intron 2) and receptor gene (5HTR2AT102C) in individuals who died of suicide. The study compares the serum levels of serotonin between the cases and controls.

Methods: We conducted a case control study with 120 cases and 126 controls. Socio-economic details of the subjects were collected using a semi-structured proforma and psychological autopsy was used to collect details of medical and other clinical conditions. Blood was drawn after taking informed consent and serum levels of serotonin were estimated by ELISA. Genotyping was performed using appropriate primers followed by polymerase chain reaction (PCR) and a restriction fragment length polymorphism (RFLP).

Results: Mean age was 32.59 ± 12.58 for cases and 33.64 ± 9.78 for controls. The risk associated LL genotype of 5HTTLPR was higher among cases. The heterozygous 12/10 genotype of SLC6A4 intron 2 polymorphism was increased among controls. Serum levels of serotonin were lower among cases. Variant genotypes of all the 3 polymorphisms showed significant interaction (OR= 39.26) indicating that this model may increase suicidal tendency.

Conclusion: The findings of this study suggest that low serum levels of serotonin and two variants of the serotonin gene may influence suicide behaviour in a south Indian population.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Fig. 1.
Fig. 1.
The PPI networks identified for SLC6A4.
Fig. 2.
Fig. 2.
Network analysis of SLC6A4.
See this image and copyright information in PMC

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