First evidence on protective effect of exogenous melatonin supplementation against disruption of the estrogenic pathway in bone metabolism of killifish (Aphanius fasciatus).
Samar LahmarKaouthar KessabiMohamed BanniImed MessaoudiPublished in: Fish physiology and biochemistry (2019)
This study was carried out to investigate the effects of exposure to estrogen antagonist nafoxidine hydrochloride (NH) and/or melatonin (Mlt) on certain bone metabolism parameters in killifish Aphanius fasciatus, a species suggested to be a suitable model for studying spinal deformities such as scoliosis. Immature females of A. fasciatus receiving 10 μg/L NH and/or 100 μg/L of Mlt were used and were sacrificed 30 days after the treatment. The spinal column, brain, and liver were collected and analyzed by various histological, biochemical, chemical, and molecular investigations. NH exposure increased frequency of histological alterations and caused signs of spinal column demineralization such as significant decrease in the percentage of nonorganic components content and calcium concentration. These changes were accompanied by decreased alkaline phosphatase activity (AP), hepatic insulin growth factor-1 (IGF-1) content, and, interestingly, cerebral Mlt concentration. Concomitant treatment with Mlt and NH enhanced expression of the gene encoding the Mlt receptor "mtnr1aa"and significantly restored the normal skeletal histology and the normal metabolism bone parameters. Our data suggest that disturbance of estrogen pathway in A. fasciatus induces cerebral Mlt depletion and, then, causes skeletal tissue alterations and bone demineralization and that exogenous Mlt supplementation has a protective effect. Thus, estrogen receptor antagonists and Mlt become important compounds to consider for the accurate prediction and assessment of bone physiology and spinal deformities in fish.
Keyphrases
- bone mineral density
- growth factor
- spinal cord
- room temperature
- bone loss
- soft tissue
- bone regeneration
- type diabetes
- estrogen receptor
- postmenopausal women
- subarachnoid hemorrhage
- poor prognosis
- machine learning
- electronic health record
- high resolution
- binding protein
- big data
- white matter
- resting state
- deep learning
- adipose tissue
- functional connectivity