The role of the microbiota in glaucoma

Mol Aspects Med. 2023 Dec:94:101221. doi: 10.1016/j.mam.2023.101221. Epub 2023 Oct 21.

Abstract

Glaucoma is a common irreversible vision loss disorder because of the gradual loss of retinal ganglion cells (RGCs) and the optic nerve axons. Major risk factors include elder age and high intraocular pressure (IOP). However, high IOP is neither necessary nor sufficient to cause glaucoma. Some non-IOP signaling cascades can mediate RGC degeneration. In addition, gender, diet, obesity, depression, or anxiety also contribute to the development of glaucoma. Understanding the mechanism of glaucoma development is crucial for timely diagnosis and establishing new strategies to improve current IOP-reducing therapies. The microbiota exerts a marked influence on the human body during homeostasis and disease. Many glaucoma patients have abnormal compositions of the microbiota (dysbiosis) in multiple locations, including the ocular surface, intraocular cavity, oral cavity, stomach, and gut. Here, we discuss findings in the last ten years or more about the microbiota and metabolite changes in animal models, patients with three risk factors (aging, obesity, and depression), and glaucoma patients. Antigenic mimicry and heat stress protein (HSP)-specific T-cell infiltration in the retina may be responsible for commensal microbes contributing to glaucomatous RGC damage. LPS-TLR4 pathway may be the primary mechanism of oral and ocular surface dysbiosis affecting glaucoma. Microbe-derived metabolites may also affect glaucoma pathogenesis. Homocysteine accumulation, inflammatory factor release, and direct dissemination may link gastric H. pylori infection and anterior chamber viral infection (such as cytomegalovirus) to glaucoma. Potential therapeutic protocols targeting microbiota include antibiotics, modified diet, and stool transplant. Later investigations will uncover the underlying molecular mechanism connecting dysbiosis to glaucoma and its clinical applications in glaucoma management.

Keywords: 16S rRNA gene sequencing; Aging; Antigenic mimicry; Cytomegalovirus (CMV); Glaucoma; Heat stress protein (HSP); Helicobacter pylori; Intraocular pressure; LPS; Microbiota; Obesity depression; TLR4; Varicella zoster virus (VZV).

Publication types

  • Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Animals
  • Disease Models, Animal
  • Dysbiosis
  • Glaucoma* / drug therapy
  • Glaucoma* / metabolism
  • Glaucoma* / pathology
  • Humans
  • Microbiota*
  • Obesity / pathology
  • Retina / metabolism