Pathophysiology of Depression: Stingless Bee Honey Promising as an Antidepressant

Molecules. 2022 Aug 10;27(16):5091. doi: 10.3390/molecules27165091.

Abstract

Depression is a debilitating psychiatric disorder impacting an individual's quality of life. It is the most prevalent mental illness across all age categories, incurring huge socio-economic impacts. Most depression treatments currently focus on the elevation of neurotransmitters according to the monoamine hypothesis. Conventional treatments include tricyclic antidepressants (TCAs), norepinephrine-dopamine reuptake inhibitors (NDRIs), monoamine oxidase inhibitors (MAOIs), and serotonin reuptake inhibitors (SSRIs). Despite numerous pharmacological strategies utilising conventional drugs, the discovery of alternative medicines from natural products is a must for safer and beneficial brain supplement. About 30% of patients have been reported to show resistance to drug treatments coupled with functional impairment, poor quality of life, and suicidal ideation with a high relapse rate. Hence, there is an urgency for novel discoveries of safer and highly effective depression treatments. Stingless bee honey (SBH) has been proven to contain a high level of antioxidants compared to other types of honey. This is a comprehensive review of the potential use of SBH as a new candidate for antidepressants from the perspective of the monoamine, inflammatory and neurotrophin hypotheses.

Keywords: depression; inflammation; monoamine; neurotrophin; stingless bee honey.

Publication types

  • Review

MeSH terms

  • Animals
  • Antidepressive Agents / pharmacology
  • Antidepressive Agents / therapeutic use
  • Bees
  • Depression / drug therapy
  • Honey*
  • Humans
  • Quality of Life
  • Selective Serotonin Reuptake Inhibitors / pharmacology

Substances

  • Antidepressive Agents
  • Serotonin Uptake Inhibitors

Grants and funding

The APC was funded by the Research Creativity and Management Office (RCMO), Universiti Sains Malaysia (USM), School of Medical Sciences, USM and Research University Incentive Grant with the Project Code: USM/1001/PPSP/8012252.