Search

Juglans regia L. is a well‐known therapeutic plant in Nepal, employed in traditional medicine for treating liver ailments. This study aimed to evaluate the in vivo and in silico liver‐protective effects of J. regia extract using a carbon tetrachloride (CCl4)‐induced hepatic damage rat model. Healthy male rats were randomly divided into six groups: normal control (distilled water 10 mL/kg), toxic control (distilled water 10 mL/kg), standard test (silymarin 100 mg/kg), and three groups receiving oral J. regia extracts (125, 250, and 500 mg/kg/day) for seven days. On the eighth day, carbon tetrachloride (CCl4) was administered intraperitoneally (i.p.) (1.5 mL/kg in 1:1 olive oil ratio for all groups, except the normal control). Rats were sacrificed on the ninth day, and blood was collected retro‐orbitally for liver blood injury tests and histopathological studies. Molecular docking was performed against cytochrome P450 2E1 (CYP450 2E1) enzyme for 16 selected phytoconstituents. J. regia, at doses of 125, 250, and 500 mg/kg, significantly reduced liver enzyme levels (alanine aminotransferase, alkaline phosphatase, direct bilirubin, and total bilirubin), while increasing serum albumin. Histological analysis revealed mitigation of carbon tetrachloride (CCl4)‐induced liver injury, reducing fatty degeneration and necrosis. Molecular docking supported the findings, with Beta‐sitosterol and Betulinic acid exhibiting the best binding affinity of −9.2 and −9.1 kcal/mol, respectively. In conclusion, result suggests that J. regia showed dose‐dependent hepatoprotective activity in CCl4‐induced hepatotoxicity and it could be utilized as a promising hepatoprotective agent. This study suggests the hepatoprotective potential of J. regia bark extracts, emphasizing the need for further clinical validation. [ABSTRACT FROM AUTHOR]

Perinatal mental health is a major public health issue that arises during pregnancy and/or after birth, with substantial implications for social, parental, and maternal functioning, as well as overall quality of life. The study aimed to determine the prevalence of perinatal depression and its associated risk factors among women who visited a maternity hospital in Kathmandu, Nepal. A cross-sectional study was conducted at the Paropakar Maternity and Women's Hospital in Kathmandu. A total of 300 women in their perinatal period were interviewed. The Edinburgh Perinatal Depression Scale (EPDS) was used to measure perinatal depression. The Poisson regression model was used to determine risk factors associated with perinatal depression. The mean age of respondents was 25.5 (SD 4.5) years; average age during their first pregnancy was 23.5 (SD 3.7) years; and 53.7% of respondents were in the antenatal period. The prevalence of depressive symptoms (EPDS ≥ 10) was 40% (95% CI 31.4% to 45.8%). Unsupportive family members (adjusted prevalence ratio [aPR] 2.23; 95% CI 1.75–2.86), postnatal period (aPR 2.64; 95% CI 1.97–3.53), complications faced during delivery (aPR 1.76; 95%CI 1.30–2.39), history of intimate partner violence (aPR 0.48; 95% CI 0.36–0.64), and first pregnancy at the age of ≤25 years (aPR 0.61; 95% CI 0.42–0.88) were identified as key risk factors of perinatal depression. Strong family support and the active involvement of partners in counselling can contribute to alleviating perinatal depression symptoms. Targeted interventions in health and well-being services should be implemented to address mental health burden during both pregnancy and postpartum periods. [ABSTRACT FROM AUTHOR]

In this paper, we present a method that uses a combination of experimental and modeled data to assess properties of x-ray beam measured using a small-animal spectral scanner. The spatial properties of the beam profile are characterized by beam profile shape, the angular offset along the rotational axis, and the photon count difference between experimental and modeled data at the central beam axis. Temporal stability of the beam profile is assessed by measuring intra- and interscan count variations. The beam profile assessment method was evaluated on several spectral CT scanners equipped with Medipix3RX-based detectors. On a well-calibrated spectral CT scanner, we measured an integral count error of 0.5%, intrascan count variation of 0.1%, and an interscan count variation of less than 1%. The angular offset of the beam center ranged from 0.8° to 1.6° for the studied spectral CT scanners. We also demonstrate the capability of this method to identify poor performance of the system through analyzing the deviation of the experimental beam profile from the model. This technique can, therefore, aid in monitoring the system performance to obtain a robust spectral CT; providing the reliable quantitative images. Furthermore, the accurate offset parameters of a spectral scanner provided by this method allow us to incorporate a more realistic form of the photon distribution in the polychromatic-based image reconstruction models. Both improvements of the reliability of the system and accuracy of the volume reconstruction result in a better discrimination and quantification of the imaged materials.