The present study was investigated to evaluate the hepato-ameliorating and antioxidant activity of two aqueous extracts of Solanum nigrum (SN) against CCl 4induced toxicity in rats. Male Albino rats were divided in four groups with 8 animals in each group. Group (1) was normal group and group (2) was injected intraperitoneal (i.p.) with CCl 4 (1ml/kg) 3 times weekly for 2 weeks (control). Group (3) was injected with CCl 4 and then treated with extract from whole plant of Solanum nigrum (500 mg/kg) and group (4) was injected with CCl 4 and then treated with extract from fruits of Solanum nigrum (250 mg/kg). CCl 4 injection enhanced activity of hepatic enzymes (AST and ALT) while it decreased serum total protein and albumin in experimental animals. It also decreased RBC, platelets count, PCV and Hb levels. However it increased WBC count. CCl 4 injection increased level of lipid peroxidation resulting in a decrease in the level of enzymatic and non enzymatic antioxidants. Treatment with two extracts of Solanum nigrum altered these changes to near normal levels. But hepato-ameliorating and antioxidant effects of extract of Solanum nigrum fruits were found to be better than those of extract from whole plant of Solanum nigrum.

Non-muscle Invasive Bladder Cancer (NMIBC) accounts for 80% of all bladder cancers. Although it is mostly low-grade tumors, its high recurrence rate necessitates three-times-monthly follow-ups and cystoscopy examinations to detect and prevent its progression. A rapid liquid biopsy-based assay is needed to improve detection and reduce complications from invasive cystoscopy. Here, we present a rapid spectroscopic method to detect the recurrence of NMIBC in urine. Urine samples from previously-diagnosed NMIBC patients (n = 62) were collected during their follow-up visits before cystoscopy examination. Cystoscopy results were recorded (41 cancer-free and 21 recurrence) and attenuated total refraction Fourier transform infrared (ATR-FTIR) spectra were acquired from urine samples using direct application. Spectral processing and normalization were optimized using parameter grid searching. We assessed their technical variability through multivariate analysis and principal component analysis (PCA). We assessed 35 machine learning models on a training set (70%), and the performance was evaluated on a held-out test set (30%). A Regularized Random Forests (RRF) model achieved a 0.92 area under the receiver operating characteristic (AUROC) with 86% sensitivity and 77% specificity. In conclusion, our spectroscopic liquid biopsy approach provides a promising technique for the early identification of NMIBC with a less invasive examination.

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