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Drug-induced liver injury (DILI) is the major health problem that resulted from uses of many drugs especially from serious adverse effect of antituberculosis (ATT) drugs. forty eight rats (200-250g) were allocated into six groups (8 rats in each group), and treated as follow: group I: received normal saline orally; group II: received INH/RFP (50 mg/Kg/day of each) for 28 days orally; group III: received Silymarin (50 mg/kg/day) + INH/RFP for 28 days orally; group IV: received SNME(250 mg/Kg/day) + INH/RFP for 28 days orally; group V: received SNME (500 mg/Kg/day) + INH/RFP for 28 days orally; group VI, received SNME (1000 mg/Kg/day) + INH/RFP for 28 days orally. Co-administration of herbal plant (SNME) with INH/RFP reduced elevated serum alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP) and (bilirubin total &direct) levels but also decreased the elevated malondialdehyde (MDA) & tumor necrosis factor-α (TNF-α) contents in liver homogenate. Moreover, co-administration of herbal plant (SNME) with INH/RFP increased glutathione peroxidase (GPX) & adiponectin activity. Solanum nigrum administration to rats, in present study, led to a remarkable alteration of histological changes observed in INH/RFP group. It is concluded that Solanum nigrum might be considered as adjuvant drug in treatment of liver disorder and/or as hepatoprotective therapy with anti-tubercular drugs.

Objective: Any minimal alteration in performance and coordination of scapular and glenohumeral muscles has the potential to lead to shoulder joint dysfunction. The impingement syndrome has been reported as is the most common diagnosis of shoulder pain. The purpose of this study was to determine whether endurance deficits could be detected in patients with shoulder impingement. Materials & Methods: By convenient sampling 15 patients with impingement syndrome at average of 45.3 years of age and 15 healthy persons (age 45.8 years) through a case–control design participated in the study. Endurance of glenohumeral and scapulothoracic muscles were tested with a hand held dynamometer. Independent t–test was used to statistically analyze different groups. Results: Compared to non–impaired subjects, those with impingement syndrome demonstrated a significantly lower endurance of external rotation, scaption and scapular abduction and upward rotation movements (P

Breast cancer (BC) is a prominent cause of female mortality on a global scale. Recently, there has been growing interest in utilizing blood and tissue-based biomarkers to detect and diagnose BC, as this method offers a non-invasive approach. To improve the classification and prediction of BC using large biomarker datasets, several machine-learning techniques have been proposed. In this paper, we present a multi-stage approach that consists of computing new features and then sorting them into an input image for the ResNet50 neural network. The method involves transforming the original values into normalized values based on their membership in the Gaussian distribution of healthy and BC samples of each feature. To test the effectiveness of our proposed approach, we employed the Coimbra and Wisconsin datasets. The results demonstrate efficient performance improvement, with an accuracy of 100% and 100% using the Coimbra and Wisconsin datasets, respectively. Furthermore, the comparison with existing literature validates the reliability and effectiveness of our methodology, where the normalized value can reduce the misclassified samples of ML techniques because of its generality., (© 2024. The Author(s).)

Diabetes mellitus (DM) is a chronic metabolic condition characterized by high blood glucose levels owing to decreased insulin production or sensitivity. Current diagnostic approaches for gestational diabetes entail intrusive blood tests, which are painful and impractical for regular monitoring. Additionally, typical blood glucose monitoring systems are restricted in their measurement frequency and need finger pricks for blood samples. This research study focuses on the development of a non-invasive, real-time glucose monitoring method based on the detection of glucose in human tears and finger blood using mid-infrared (IR) spectroscopy. The proposed solution combines a fuzzy logic-based calibration mechanism with an IR sensor and Arduino controller. This calibration technique increases the accuracy of non-invasive glucose testing based on MID absorbance in fingertips and human tears. The data demonstrate that our device has high accuracy and reliability, with an error rate of less than 3%, according to the EGA. Out of 360 measurements, 97.5% fell into zone A, 2.2% into zone B, and 0.3% into zone C of the Clarke Error Grid. This suggests that our device can give clinically precise and acceptable estimates of blood glucose levels without inflicting any harm or discomfort on the user.

Infrared neuromodulation (INM) is a promising neuromodulation tool that utilizes pulsed or continuous-wave near-infrared (NIR) laser light to produce an elevation of the background temperature of the neural tissue. The INM-based cortical heating has been proven as an effective modality to induce changes in neuronal activities. In this paper, we investigate the effect of INM-based cortical heating on the characteristics of interictal epileptiform discharges (IEDs) induced by penicillin in anesthetized rats. Cortical heating was conducted using a NIR laser light guided through a needle-like silicon-based waveguide probe. We detected penicillin-induced cortical IEDs from preprocessed micro-electrocorticography ([Formula: see text]ECoG) recordings, then we assessed changes in various temporal and spectral features of IEDs due to INM. Our findings show that the fast cortical heating phase obtained with continuous-wave NIR light is highly associated with a reduction of IED amplitudes, small but significant changes in the negative amplitude of IEDs compared with the baseline, and a proportional increase in the power of frequency bands related to delta/theta (2-8 Hz) and gamma (28-80 Hz) oscillations. Furthermore, a low rate of cortical heating with pulsed NIR illumination has a more inhibitory impact on the sharp negative polarity of IEDs. Our findings do not indicate a clear reduction in the frequency of IEDs in anesthetized rodents. In contrast, 2-4 min of continuous laser illumination leads to a notable increase in IED frequency. This effect of INM could potentially restrict its use in therapeutic applications related to epilepsy. However, the thermal effect of INM on cortical neurons induces changes in other characteristics of IEDs, which could prove beneficial for future applications., (© 2023. Springer Nature Limited.)

Electrochemical impedance spectroscopy (EIS) is the golden tool for many emerging biomedical applications that describes the behavior, stability, and long-term durability of physical interfaces in a specific range of frequency. Impedance measurements of any biointerface during in vivo and clinical applications could be used for assessing long-term biopotential measurements and diagnostic purposes. In this paper, a novel approach to predicting impedance behavior is presented and consists of a dimensional reduction procedure by converting EIS data over many days of an experiment into a one-dimensional sequence of values using a novel formula called day factor (DF) and then using a long short-term memory (LSTM) network to predict the future behavior of the DF. Three neural interfaces of different material compositions with long-term in vitro aging tests were used to validate the proposed approach. The results showed good accuracy in predicting the quantitative change in the impedance behavior (i.e., higher than 75%), in addition to good prediction of the similarity between the actual and the predicted DF signals, which expresses the impedance fluctuations among soaking days. The DF approach showed a lower computational time and algorithmic complexity compared with principal component analysis (PCA) and provided the ability to involve or emphasize several important frequencies or impedance range in a more flexible way.

The complete nucleotide sequence of plasmid pSMA23 isolated from Lactobacillus casei A23 was determined. Plasmid pSMA23 is a 3497bp circular molecule with a G+C content of 38.18%. Four putative open reading frames were identified. Based on homology, two orfs were identified as genes encoding replication initiation (Rep) and mobilisation (Mob) protein, respectively. Various regulatory regions like promoters, ribosome binding site (RBS), transcriptional terminators were deduced from the sequences of rep and mob. The origin of replication (dso) was predicted. Shuttle vectors pL142 and pL157 were constructed for Escherichia coli and Lactobacillus using rep gene and ori of pSMA23 for replication in Lactobacillus, the ori of the commercial vector pBluescript SkII+ for replication in E. coli, and the erythromycin and chloramphenicol resistance genes of pE194 and pC194, respectively, as selection markers. Transformants of E. coli and Lactobacillus were obtained on media containing erythromycin and chloramphenicol, respectively, suggesting expression of the ermC and cat194 genes in both organisms. The shsp gene of plasmid pSt04 of Streptococcus thermophilus encoding a small heat shock protein and the Lactobacillus plantarum cbh gene encoding conjugated bile salts hydrolase were cloned and successfully expressed in the heterologous host Lb. casei LK1 with the aid of pSMA23-derived vectors.