Perinatal supplementation with thymoquinone improves diabetic complications and T cell immune responses in rat offspring

Background

Epidemiological studies have shown that the offspring of mothers who experience diabetes mellitus during pregnancy are seven times more likely to develop health complications later in life compared to offspring born to nondiabetic mothers.

Aim of the study

We investigated whether supplementation with a natural antioxidant (thymoquinone; TQ) in female rats with streptozotocin (STZ)-induced gestational diabetes (GD) improved diabetic complications and T cell immune responses in their offspring.

Methods

Three groups of female rats were tested: nondiabetics, diabetics treated with TQ during pregnancy and lactation periods and diabetics that were not treated with TQ (n = 10 female rats in each group).

Results

Our data demonstrated a significant decrease in the numbers of neonates born to diabetic rats compared with those born to control rats. GD led to macrosomic pups with several postpartum complications, such as a significant increase in plasma levels of the pro-inflammatory cytokines IL-1β, IL-6, and TNF-α (but not of IL-10); a marked decrease in the plasma level of IL-2; a marked reduction in the proliferative capacity of superantigen (SEB)-stimulated T-lymphocytes; and an obvious reduction in the number of circulating and thymus homing T cells. TQ supplementation of diabetic mothers during pregnancy and lactation periods had an obvious and significant effect on the number and mean body weight of neonates. Furthermore, TQ significantly restored the IL-2 level and T cell proliferation and subsequently rescued both circulating and thymus homing T cells in the offspring.

Conclusions

Our data suggest that nutritional supplementation of GD mothers with the natural antioxidant TQ during pregnancy and lactation periods improves diabetic complications and maintains an efficient T cell immune response in their offspring, providing a protective effect in later life.     

Anticancer Potential of the Plant-Derived Saponin Gracillin: A Comprehensive Review of Mechanistic Approaches

With the increasing prevalence of cancer and the toxic side effects of synthetic drugs, natural products are being developed as promising therapeutic approaches. Gracillin is a naturally occurring triterpenoid steroidal saponin with several therapeutic activities. It is obtained as a major compound from different Dioscorea species. This review was designated to summarize the research progress on the anti-cancer activities of gracillin focusing on the underlying cellular and molecular mechanisms, as well as its pharmacokinetic features. The data were collected (up to date as of May 1, 2023) from various reliable and authentic literatures comprising PubMed, Springer Link, Scopus, Wiley Online, Web of Science, ScienceDirect, and Google Scholar. The findings demonstrated that gracillin displays promising anticancer effects through various molecular mechanisms, including anti-inflammatory effects, apoptotic cell death, induction of oxidative stress, cytotoxicity, induction of genotoxicity, cell cycle arrest, anti-proliferative effect, autophagy, inhibition of glycolysis, and blocking of cancer cell migration. Additionally, this review highlighted the pharmacokinetic features of gracillin, indicating its lower oral bioavailability. As a conclusion, it can be proposed that gracillin could serve as a hopeful chemotherapeutic agent. However, further extensive clinical research is recommended to establish its safety, efficacy, and therapeutic potential in cancer treatment.     

Corrugation Architecture Enabled Ultraflexible Wafer‐Scale High‐Efficiency Monocrystalline Silicon Solar Cell

Advanced classes of modern application require new generation of versatile solar cells showcasing extreme mechanical resilience, large‐scale, low cost, and excellent power conversion efficiency. Conventional crystalline silicon‐based solar cells offer one of the most highly efficient power sources, but a key challenge remains to attain mechanical resilience while preserving electrical performance. A complementary metal oxide semiconductor‐based integration strategy where corrugation architecture enables ultraflexible and low‐cost solar cell modules from bulk monocrystalline large‐scale (127 × 127 cm²) silicon solar wafers with a 17% power conversion efficiency. This periodic corrugated array benefits from an interchangeable solar cell segmentation scheme which preserves the active silicon thickness of 240 µm and achieves flexibility via interdigitated back contacts. These cells can reversibly withstand high mechanical stress and can be deformed to zigzag and bifacial modules. These corrugation silicon‐based solar cells offer ultraflexibility with high stability over 1000 bending cycles including convex and concave bending to broaden the application spectrum. Finally, the smallest bending radius of curvature lower than 140 µm of the back contacts is shown that carries the solar cells segments.     

Plasma anti-Müllerian hormone as a biomarker for bovine granulosa-theca cell tumors: Comparison with immunoreactive inhibin and ovarian steroid concentrations

Granulosa-theca cell tumors (GTCTs) are the most frequently reported ovarian tumors in cattle. Clinically, GTCTs could be confused with other ovarian abnormalities; therefore, the only definitive diagnosis for such tumors is histopathology of a biopsy from the affected ovary. However, this is an invasive technique and unsuitable for farm conditions. As a result, the key aim of this study was to evaluate the diagnostic value of anti-Müllerian hormone (AMH), a glycoprotein hormone that is synthesized exclusively by ovarian granulosa cells, as a sensitive noninvasive biomarker for diagnosing GTCTs in cattle. To achieve this aim, we conducted two experiments. In experiment 1, four clinically healthy Japanese Black cows had blood samples taken daily over one estrous cycle to characterize their AMH profiles throughout the estrous cycle. Additionally, single blood samples were collected from 21 cyclic cows to clarify the physiological range of AMH. In experiment 2, cows with histologically confirmed GTCT (GTCT group, n = 9) and cows affected with cystic ovarian disease (COD group, n = 8) had one blood sample taken before extraction of the tumorous ovary or therapeutic treatment for the COD. Blood samples (n = 105) from cyclic cows (n = 25) in experiment 1 were assigned as a physiologically cyclic group (PC group). Plasma AMH, immunoreactive inhibin (ir-INH), estradiol-17β (E₂), testosterone (T), and progesterone (P₄) concentrations were assayed in all samples. In experiment 1, the mean plasma AMH concentration was 0.09 ± 0.003 ng/mL and did not show substantial fluctuation throughout the estrous cycle. In experiment 2, plasma AMH, ir-INH, and E₂ concentrations were significantly elevated in the GTCT group in comparison with the PC group; among these parameters, only the AMH concentrations were significantly higher in the GTCT group than in the COD group. The area under the receiver operating characteristic curve of AMH for diagnosis of GTCT was 0.99 and was significantly higher than that of ir-INH (P < 0.001) and E₂ (P < 0.01). Moreover, the AMH at a cutoff point of ≥0.36 ng/mL had the highest diagnostic accuracy (99.2%), sensitivity (100%), and specificity (99.1%) compared with the other tested parameters. In conclusion, plasma AMH concentration is probably a more reliable and sensitive biomarker for bovine GTCTs than the concentrations of ir-INH or ovarian steroids.     

Naturally occurring thiophenes: isolation,purification, structural elucidation,and evaluation of bioactivities

Phytochemistry Reviews - Thiophenes are a class of heterocyclic aromatic compounds based on a five-membered ring made up of one sulfur and four carbon atoms. The thiophene nucleus is well...     

Feature Selection via Chaotic Antlion Optimization

Background

Selecting a subset of relevant properties from a large set of features that describe a dataset is a challenging machine learning task. In biology, for instance, the advances in the available technologies enable the generation of a very large number of biomarkers that describe the data. Choosing the more informative markers along with performing a high-accuracy classification over the data can be a daunting task, particularly if the data are high dimensional. An often adopted approach is to formulate the feature selection problem as a biobjective optimization problem, with the aim of maximizing the performance of the data analysis model (the quality of the data training fitting) while minimizing the number of features used.

Results

We propose an optimization approach for the feature selection problem that considers a “chaotic” version of the antlion optimizer method, a nature-inspired algorithm that mimics the hunting mechanism of antlions in nature. The balance between exploration of the search space and exploitation of the best solutions is a challenge in multi-objective optimization. The exploration/exploitation rate is controlled by the parameter I that limits the random walk range of the ants/prey. This variable is increased iteratively in a quasi-linear manner to decrease the exploration rate as the optimization progresses. The quasi-linear decrease in the variable I may lead to immature convergence in some cases and trapping in local minima in other cases. The chaotic system proposed here attempts to improve the tradeoff between exploration and exploitation. The methodology is evaluated using different chaotic maps on a number of feature selection datasets. To ensure generality, we used ten biological datasets, but we also used other types of data from various sources. The results are compared with the particle swarm optimizer and with genetic algorithm variants for feature selection using a set of quality metrics.     

Purification and some important characters of extracellular inulinase of Alternaria alternata (Fr.) Keissler

Protein precipitate of cell-free dialysate of extracellular inulinase (2,1-beta-fructan fructanohydrolase, EC 3.2.1.7) of A. alternata was maximally obtained by methanol. Such protein was fractionated by using 2-step column chromatography on Sephadex G150 and DEAE-cellulose. The partially purified enzyme had activity of 81 x 10(3) U/mg protein, with a yield of 69% of the original activity and the fold of purification was 62. Optimum temperature and pH for the activity of the purified enzyme were found to be 55 degrees C and 4.5, respectively. The enzyme was found to be stable up to 55 degrees C and in pH range of 4 to 5. Ba2+ and Ca2+ were found to stimulate the enzyme activity while Cu2+, Fe3+, Hg2+, and iodoacetate were recorded as strong inhibitors. T(1/2) of the enzyme was estimated to be two weeks and its apparent Km was calculated to be 0.066 M. The enzyme recorded hydrolyzing activity against sucrose and raffinose recording I/S ratio of 0.50. Molecular mass of the enzyme preparation was estimated by gel filtration and found to be 115 +/- 5 kDa.