Impact of COVID-19 on Perinatal Outcomes and Birth Locations in a Large US Metropolitan Area.

This was a population-based study to determine the impact of COVID-19 on birth outcomes in the Chicago metropolitan area, comparing pre-pandemic (April-September 2019) versus pandemic (April-September 2020) births. Multivariable regression models that adjusted for demographic and neighborhood characteristics were used to estimate the marginal effects of COVID-19 on intrauterine fetal demise (IUFD)/stillbirth, preterm birth, birth hospital designation, and maternal and infant hospital length of stay (LOS). There were no differences in IUFD/stillbirths or preterm births between eras. Commercially insured preterm and term infants were 4.8 percentage points (2.3, 7.4) and 3.4 percentage points (2.5, 4.2) more likely to be born in an academic medical center during the pandemic, while Medicaid-insured preterm and term infants were 3.6 percentage points less likely (-6.5, -0.7) and 1.8 percentage points less likely (-2.8, -0.9) to be born in an academic medical center compared to the pre-pandemic era. Infant LOS decreased from 2.4 to 2.2 days (-0.35, -0.20), maternal LOS for indicated PTBs decreased from 5.6 to 5.0 days (-0.94, -0.19), and term births decreased from 2.5 to 2.3 days (-0.21, -0.17). The pandemic had a significant effect on the location of births that may have exacerbated health inequities that continue into childhood.

Imaging and Deep Learning Based Approach to Leaf Wetness Detection in Strawberry.

The Strawberry Advisory System (SAS) is a tool developed to help Florida strawberry growers determine the risk of common fungal diseases and the need for fungicide applications. Leaf wetness duration (LWD) is one of the important parameters in SAS disease risk modeling. By accurately measuring the LWD, disease risk can be better assessed, leading to less fungicide use and more economic benefits to the farmers. This research aimed to develop and test a more accurate leaf wetness detection system than traditional leaf wetness sensors. In this research, a leaf wetness detection system was developed and tested using color imaging of a reference surface and a convolutional neural network (CNN), which is one of the artificial-intelligence-based learning methods. The system was placed at two separate field locations during the 2021-2022 strawberry-growing season. The results from the developed system were compared against manual observation to determine the accuracy of the system. It was found that the AI- and imaging-based system had high accuracy in detecting wetness on a reference surface. The developed system can be used in SAS for determining accurate disease risks and fungicide recommendations for strawberry production and allows the expansion of the system to multiple locations.

Automated prediction of site and sequence of protein modification with ATRP initiators.

One of the most straightforward and commonly used chemical modifications of proteins is to react surface amino groups (lysine residues) with activated esters. This chemistry has been used to generate protein-polymer conjugates, many of which are now approved therapeutics. Similar conjugates have also been generated by reacting activated ester atom transfer polymerization initiators with lysine residues to create biomacromolecular initiators for polymerization reactions. The reaction between activated esters and lysine amino groups is rapid and has been consistently described in almost every publication on the topic as a "random reaction". A random reaction implies that every accessible lysine amino group on a protein molecule is equally reactive, and as a result, that the reaction is indiscriminate. Nonetheless, the literature contradicts itself by also suggesting that some lysine amino groups are more reactive than others (as a function of pKa, surface accessibility, temperature, and local environment). If the latter assumption is correct, then the outcome of these reactions cannot be random at all, and we should be able to predict the outcome from the structure of the protein. Predicting the non-random outcome of a reaction between surface lysines and reactive esters could transform the speed at which active bioconjugates can be developed and engineered. Herein, we describe a robust integrated tool that predicts the activated ester reactivity of every lysine in a protein, thereby allowing us to calculate the non-random sequence of reaction as a function of reaction conditions. Specifically, we have predicted the intrinsic reactivity of each lysine in multiple proteins with a bromine-functionalised N-hydroxysuccinimide initiator molecule. We have also shown that the model applied to PEGylation. The rules-based analysis has been coupled together in a single Python program that can bypass tedious trial and error experiments usually needed in protein-polymer conjugate design and synthesis.

Dietary Phytochemicals in Zinc Homeostasis: A Strategy for Prostate Cancer Management.

Studies have suggested an important role of the trace element zinc (Zn) in prostate biology and functions. Zn has been shown to exist in very high concentrations in the healthy prostate and is important for several prostatic functions. In prostate cancer (PCa), Zn levels are significantly decreased and inversely correlated with disease progression. Ideally, restoration of adequate Zn levels in premalignant/malignant prostate cells could abort prostate malignancy. However, studies have shown that Zn supplementation is not an efficient way to significantly increase Zn concentrations in PCa. Based on a limited number of investigations, the reason for the lower levels of Zn in PCa is believed to be the dysregulation of Zn transporters (especially ZIP and ZnT family of proteins), metallothioneins (for storing and releasing Zn), and their regulators (e.g., Zn finger transcription factor RREB1). Interestingly, the level of Zn in cells has been shown to be modulated by naturally occurring dietary phytochemicals. In this review, we discussed the effect of selected phytochemicals (quercetin, resveratrol, epigallocatechin-3-gallate and curcumin) on Zn functioning and proposes that Zn in combination with specific dietary phytochemicals may lead to enhanced Zn bioaccumulation in the prostate, and therefore, may inhibit PCa.

Incidental unintentional breakage of epidural catheter in supralaminar area: A case report.

BACKGROUND: Among some of the known complications, breakage of epidural catheter, though is extremely rare, is a well-established entity. Visualization of retained catheter is difficult even with current radiological imaging techniques, and active surgical intervention might be necessary for removal of catheter fragment. We report such a case of breakage of an epidural catheter during its insertion which led to surgical intervention. CASE DESCRIPTION: A 52-year-old, an 18G radiopaque epidural catheter was inserted through an 18G Tuohy needle into the epidural space at T8-T9 interspace in left lateral position. Resistance was encountered. While the catheter was being removed with gentle traction along with Tuohy needle, it sheared off at 12 cm mark. After informing the operating surgeon and the patient, immediately an magnetic resonance imaging and computed tomography (CT) scan were done. CT scan with sagittal and coronal reconstruction was done. Epidural catheter was visualized at D9 lamina-spinous process junction who was removed by surgical intervention. CONCLUSION: Leaving of epidural catheter puts the anesthetist in a dilemma. To evade such an event, it is important to stick to the traditional guiding principle for epidural insertion and removal. In spite of safety measures, if event occurs, the patient should be informed about it. Surgery is reserved for symptomatic patients or asymptomatic patients to avoid future complications.

Pseudo-branched polyester copolymer: an efficient drug delivery system to treat cancer.

In this study, a new hyperbranched polyester copolymer was designed using a proprietary monomer and diethylene glycol or triethylene glycol as monomers. The synthesis was carried out using standard melt polymerization technique and catalyzed by p-tolulenesulfonic acid. The progress of the reaction was monitored with respect to time and negative pressure, with samples being subjected to standard characterization protocols. The resulting polymers were purified using the solvent precipitation method and characterized using various chromatographic and spectroscopic methods including GPC, MALDI-TOF, and NMR. We have observed polymers with a molecular weight of 29 643 Da and 33 996 Da, which is ideal to be used as a drug delivery system. Thus, these polymers were chosen for further modification into folate-functionalized polymeric nanoparticles for the targeted treatment of cancer, in this case we have chosen prostate cancer cells as a model. We hypothesized that due to the 3D structure of the A2B monomer, we expect a pseudo-branched polymer that is globular in shape which will be ideal for drug carrying and delivery. We used a solvent diffusion method for the one-pot formulation of water-dispersable polymeric nanoparticles as well as theraputic drug (doxorubicin) encapsulation. The efficacy of this delivery system was gauged by treating LNCaP cells with the drug-loaded nanoparticles and assessing the results of the treatment. The results were analyzed by cytotoxicity (MTT) assays, drug release studies, and fluorescence microscopy. The experimental results collectively show a nanoparticle that was biocompatible, target-specific, and successfully initiated apoptosis in an in vitro prostate cancer model.

Structural characterization of the α-mating factor prepro-peptide for secretion of recombinant proteins in Pichia pastoris.

The methylotrophic yeast Pichia pastoris has been used extensively for expressing recombinant proteins because it combines the ease of genetic manipulation, the ability to provide complex posttranslational modifications and the capacity for efficient protein secretion. The most successful and commonly used secretion signal leader in Pichia pastoris has been the alpha mating factor (MATα) prepro secretion signal. However, limitations exist as some proteins cannot be secreted efficiently, leading to strategies to enhance secretion efficiency by modifying the secretion signal leader. Based on a Jpred secondary structure prediction and knob-socket modeling of tertiary structure, numerous deletions and duplications of the MATα prepro leader were engineered to evaluate the correlation between predicted secondary structure and the secretion level of the reporters horseradish peroxidase (HRP) and Candida antarctica lipase B. In addition, circular dichroism analyses were completed for the wild type and several mutant pro-peptides to evaluate actual differences in secondary structure. The results lead to a new model of MATα pro-peptide signal leader, which suggests that the N and C-termini of MATα pro-peptide need to be presented in a specific orientation for proper interaction with the cellular secretion machinery and for efficient protein secretion.