Effectiveness of forest honey (Apis dorsata) as therapy for ovarian failure causing malnutrition

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Abstract

Background: Malnutrition is the imbalance between intake and nutritional needs, resulting in a decrease in body weight, composition, and physical function. Malnutrition causes infertility due to intestinal and liver degeneration,which may progress to testicular and ovarian degeneration. Methods: An infertile female rat model with a degenerative ovary was induced with malnutrition through a 5-day food fasting but still had drinking water. The administration of (T1) 30% (v/v) and (T2) 50% (v/v) forest honey ( Apis dorsata) were performed for ten consecutive days, whereas the (T+) group was fasted and not administered forest honey and the (T-) group has not fasted and not administered forest honey. Superoxide dismutase, malondialdehyde, IL-13 and TNF-α cytokine expressions, and ovarian tissue regeneration were analyzed. Results: Superoxide dismutase was significantly different ( p<0.05) in T1 (65.24±7.53), T2 (74.16±12.3), and T- (65.09±6.56) compared with T+ (41.76±8.51). Malondialdehyde was significantly different ( p<0.05) in T1 (9.71±1.53), T2 (9.23±0.96), and T- (9.83±1.46) compared with T+ (15.28±1.61). Anti-inflammatory cytokine (IL-13) expression was significantly different ( p<0.05) in T1 (5.30±2.31), T2 (9.80±2.53), and T- (0.30±0.48) compared with T+ (2.70±1.57). Pro-inflammatory cytokine (TNF-α) expression was significantly different ( p<0.05) in T1 (4.40±3.02), T2 (2.50±1.65), and T- (0.30±0.48) compared with T+ (9.50±1.78). Ovarian tissue regeneration was significantly different ( p<0.05) in T- (8.6±0.69) and T2 (5.10±0.99) compared with T1 (0.7±0.95) and T+ (0.3±0.67). Conclusion: The 10-day administration of 50% (v/v) forest honey can be an effective therapy for ovarian failure that caused malnutrition in the female rat model.

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Safitri, E., Purnobasuki, H., Purnama, M. T. E., & Chhetri, S. (2022). Effectiveness of forest honey (Apis dorsata) as therapy for ovarian failure causing malnutrition. F1000Research, 11. https://doi.org/10.12688/f1000research.110660.2

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