Exploratory data analysis of physicochemical parameters of natural antimicrobial and anticancer peptides: Unraveling the patterns and trends for the rational design of novel peptides.

Introduction: Peptide-based research has attained new avenues in the antibiotics and cancer drug resistance era. The basis of peptide design research lies in playing with or altering physicochemical parameters. Here in this work, we have done exploratory data analysis (EDA) of physicochemical parameters of antimicrobial peptides (AMPs) and anticancer peptides (ACPs), two promising therapeutics for microbial and cancer drug resistance to deduce patterns and trends. Methods: Briefly, we have captured the natural AMPs and ACPs data from the APD3 database. After cleaning the data manually and by CD-HIT web server, further data analysis has been done using Python-based packages, modlAMP and Pandas. We have extracted the descriptive statistics of 10 physicochemical parameters of AMPs and ACPs to build a comprehensive dataset containing all major parameters. The global analysis of datasets has been done using modlAMP to find the initial patterns in global data. The subsets of AMPs and ACPs were curated based on the length of the peptides and were analyzed by Pandas package to deduce the graphical profile of AMPs and ACPs. Results: EDA of AMPs and ACPs shows selectivity in the length and amino acid compositions. The distribution of physicochemical parameters in defined quartile ranges was observed in the descriptive statistical and graphical analysis. The preferred length range of AMPs and ACPs was found to be 21-30 amino acids, whereas few outliers in each parameter were evident after EDA analysis. Conclusion: The derived patterns from natural AMPs and ACPs can be used for the rational design of novel peptides. The statistical and graphical data distribution findings will help in combining the different parameters for potent design of novel AMPs and ACPs.

The role of hysteroscopy in reproductive surgery: Today and tomorrow.

During the last decades, the number of couples with reproductive issues has substantially increased. Many different factors are implicated in reproductive failure, including uterine factors. Endometrial pathologies, such as endometrial polyps, hyperplasia, endometritis, and Mullerian anomalies, can also hinder embryo implantation. Hysteroscopy remains the gold standard for the evaluation and treatment of intrauterine pathology. Over the last few years, advances in hysteroscopic instrumentations and surgical techniques have significantly evolved, the refinement in technology, miniaturization of instruments, and improved image quality have rendered hysteroscopy a more patient and user-friendly procedure that has enhanced its use in reproductive medicine. Nowadays, hysteroscopy is essential in the evaluation and treatment of women with infertility. This article underscores the major technological breakthroughs achieved over the last few years with emphasis on the role of artificial intelligence, augmented reality, and 3D hysteroscopy, which can set new benchmarks in hysteroscopy applied to reproductive medicine.

Distension media delivery systems in hysteroscopy: past, present and future.

To examine the uterine cavity and/or to perform hysteroscopic surgery, one has to access the uterine cavity through the cervix, distend the cavity with a fluid (liquid or gas) to visualize it with a telescope and/or a camera system and use energy (mechanical or thermal) to affect and/or remove tissue. Distension of the uterine cavity then is an important component of hysteroscopy, and during the last century, numerous attempts have been made to achieve an undistorted and unobstructed panoramic view of the uterine cavity. In order to achieve this goal, the uterine cavity has been distended with fluids using a variety of techniques, including gravity-assisted systems, pressure cuffed systems, and electronic pumps. Excessive fluid intravasation during hysteroscopy can lead to significant complications, and hence, automated fluid delivery systems have been developed recently to provide a safe and more efficient method of fluid delivery. This review aims to describe the evolution of distension media delivery systems chronologically from the 1900s to the present day.

Association of cucurbit aphid-borne yellows virus with cucumber plants in India.

Symptoms like bright yellowing, puckering of the leaf, vein banding, and vein thickening were observed on different cucurbit hosts at the experimental farm of Indian Agricultural Research Institute, New Delhi during Kharif 2019. Leaf-dip electron microscopy of the symptomatic leaves revealed the association of isometric virus particles measuring ~ 25 nm with bitter gourd and cucumber samples. The RT-PCR assay using polerovirus generic primers covering the partial RdRp, intergenic region, and partial CP region was resulted the amplicons of ~ 1.1 kb. Subsequent cloning, sequencing, and sequence analysis revealed the association of cucurbit aphid-borne yellows virus (CABYV) with bitter gourd (Momordica charantia) and cucumber (Cucumis sativus) plants. These results constitute the first report of CABYV infection on cucumber plants from India. SUPPLEMENTARY INFORMATION: The online version of this article (10.1007/s13337-020-00645-4) contains supplementary material, which is available to authorized users.

Role of Cervical Phosphorylated Insulin-Like Growth Factor-Binding Protein 1 (phIGFBP1) for Prediction of Successful Induction Among Primigravida with Prolonged Pregnancy.

PURPOSE OF THE STUDY: To estimate and to compare the levels of cervical phIGFBP-1 among primigravida with prolonged pregnancy, with and without successful induction of labor (IOL). METHODS: A diagnostic study (cross-sectional study design) was conducted in our institution from November 2016 to April 2018 on 84 primigravida at ≥ 41 weeks with uncomplicated singleton pregnancy. The results were analyzed using SPSS software and receiver operating characteristics curves to determine the best cutoff using Youden Index. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive (+ LR) and negative likelihood ratio (- LR) were calculated. P value < 0.05 was considered significant. Logistic regression analysis was used to determine the predictive ability of the three markers for successful IOL. RESULTS: The cutoff level of phIGFBP-1, Bishop score (BS) and transvaginal cervical length (TVL) were 7.8 µg/l, 3 and 3.5 cm, respectively. The sensitivity, specificity, PPV, NPV, + LR and - LR of phIGFBP-1 (> 7.8 µg/l) were 0.87, 0.87, 0.89, 0.85, 6.76 and 0.15, respectively. Using logistic regression analysis, phIGFBP-1 was found to be the best predictor of successful IOL (OR 44.200; 95% CI 12.378-157.831, p < 0.001). CONCLUSION: phIGFBP-1 is a strong independent predictor successful IOL as compared to TVL and BS in primigravida with prolonged pregnancy.

Classification systems of Asherman's syndrome. An old problem with new directions.

Intrauterine adhesion (IUA) formation and the resulting Asherman's syndrome (AS) is an unfortunate clinical condition that occurs when the endometrium is damaged as a consequence of trauma, such as vigorous curettage, infection, or some Müllerian anomaly. The most frequent symptoms include hypo/amenorrhea, infertility, and adverse reproductive outcomes. Prevention of IUA formation is essential; however, when present, accurate diagnosis and surgical intervention (hysteroscopic adhesiolysis) are required. The outcome of this treatment is based on the technique and the extent of surgery performed which depends on the severity and complexity of the disease. Hence its classification becomes particularly important to determine a standardized therapy for each case and patient counseling regarding the prognosis. In this article, we aim to describe the IUAs classification systems that have been proposed comparing the merits and demerits of each one.