Antifertility effect of chronically administered Tabernaemontana divaricata leaf extract on male rats

Objective:To investigate the antifertility effect of chronically administered Tabernaemontana divarkala(T.divaricata) leaf extract on male rats.Methods:The effect of 50%ethanol extract of T.divaricata leaves on reproduction was studied on male rats.The study was divided into four groups of five animals each.The first groups(1) received vehicle alone to serve as control. The second,third and fourth groups(Ⅱ,ⅡandⅣ) of animals were administered the leaf extract daily at 50 mg/kg body weight,p.o.,100 nig/kg body weight,p.o.,and 200 mg/kg body weight, p.o.,respectively,for a period of 60 days.Results:Significant decreases in the weight of testes, epididymis,seminal vesicle and ventral prostate were observed.A dose related reduction in the testicular sperm count,epididymal sperm count and motility,number of fertile male,ratio between delivered and inseminated females and numbers of pups were observed.The testis showed a clear correlation between the dose and severity of lesions of seminiferous epithelium. In general,the seminiferous tubules appear reduced in size with a frequently filled eosinophilic material.Spermatogenesis arrested at the secondary spermatocyte stage.Pachytene spermatocytes were undergoing degeneration.Disorganisation and sloughing of immature germ cell were visible. Leydinf cells were atrophied.No morphological changes were observed in Sertoli cells.Significant reduction in serum concentration of luteinizing hormone and testosterone were observed.No distinct change in serum FSH concentration was recorded.The final body weights of all groups were elevated markedly.No alterations were recorded in any hematologiocal parameters. Conclusions:It is concluded that the 50%ethanol extract of T.divaricata leaf produced dose related effect on male reproduction without altering general bodv metabolism.

Early SkinDiseaseIdentification Using Deep Neural Network

Skin lesions detection and classification is a prominent issue and difficult even for extremely skilled dermatologists and pathologists.Skin disease is the most common disorder triggered by fungus,viruses,bacteria,allergies,etc.Skin diseases are most dangerous and may be the cause of serious damage.Therefore,it requires to diagnose it at an earlier stage,but the diagnosis therapy itself is complex and needs advanced laser and photonic therapy.This advance therapy involvesfinancial burden and some other ill effects.Therefore,it must use artificial intelligence techniques to detect and diagnose it accurately at an earlier stage.Several techniques have been proposed to detect skin disease at an earlier stage but fail to get accuracy.Therefore,the primary goal of this paper is to classify,detect and provide accurate information about skin diseases.This paper deals with the same issue by proposing a high-performance Convolution neural network(CNN)to classify and detect skin disease at an earlier stage.The complete meth-odology is explained in different folds:firstly,the skin diseases images are pre-processed with processing techniques,and secondly,the important feature of the skin images are extracted.Thirdly,the pre-processed images are analyzed at different stages using a Deep Convolution Neural Network(DCNN).The approach proposed in this paper is simple,fast,and shows accurate results up to 98%and used to detect six different disease types.

马蹄花叶提取物在雄性白化病小鼠体内的抗炎作用(英文)

AIM:To study the in vivo anti-inflammatory activity of Tabernaemontana divaricata leaf extract on male albino mice.METHODS:Aqueous decoction and methanol leaf extracts were tested for their ability to reduce croton oil-induced edema in the mouse ear after topical application.The methanol leaf extract dose-dependently inhibited the croton oil-induced ear edema in mice(ID50<500μg·cm 2).A bioassay-guided liquid–liquid fractionation of this methanol extract gave four active fractions:water insoluble(F1),hexane(F2),ethyl acetate(F3)and water(F4).RESULTS:The hexane fraction showed a very high activity(42.1%inhibition at0.7μg·cm 2)as compared to the control.The other fractions were less active(F1:56.1%at 506.2μg·cm-2;F3:57.3%at 289.3μg·cm 2;and F4:31.9%for 203.8μg·cm 2)while indomethacin gave 48.8%of inhibition at 90μg·cm 2.The activity of F1 and F3 may be at least in part explained by the presence of anti-inflammatory flavonoids,while the activity was not correlated to the tannin contents.No compounds were detected in the most active F2 fraction.CONCLUSIONS:The results give a rational support to the traditional use of T.divaricata in tropical India as anti-inflammatory agent.