A sulfonate ligand-defected Zr-based metal-organic framework for the enhanced selective removal of anionic dyes.

In this work, we introduce a novel defective analogue of the representative 6-connected zirconium-based metal-organic framework (MOF-808), by employing 5-sulfoisophthalic acid monosodium salt (H2BTC-SO3Na) as a defect inducer via a mixed-linker approach. The structural integrity and different physicochemical properties were investigated by various characterization techniques, including powder X-ray diffraction (PXRD), scanning electron microscopy (SEM), thermogravimetric analysis (TGA), and nitrogen physisorption at 77 K. Additionally, proton nuclear magnetic resonance (1H-NMR), energy-dispersive X-ray (EDX), and inductively coupled plasma optical emission spectroscopy (ICP-OES) were employed to confirm the presence of 6.9 mol% of the 5-sulfoisophthalate ligand within the highly crystalline MOF-808 structure. The defective material exhibited significant enhancements in the removal efficiency of various organic dyes, including approximately 64% and 77% for quinoline yellow and sunset yellow, and 56% and 13% for rhodamine B and malachite green, compared to its pristine counterpart. Importantly, the defective MOF-808 showed a remarkable selectivity toward anionic species in binary-component dyes comprising both anionic and cationic dyes.

Multichannel Hierarchical Analysis of Time-Resolved Hyperspectral Data for Advanced Colorimetric E-Nose.

The colorimetric sensor-based electronic nose has been demonstrated to discriminate specific gaseous molecules for various applications, including health or environmental monitoring. However, conventional colorimetric sensor systems rely on RGB sensors, which cannot capture the complete spectral response of the system. This limitation can degrade the performance of machine learning analysis, leading to inaccurate identification of chemicals with similar functional groups. Here, we propose a novel time-resolved hyperspectral (TRH) data set from colorimetric array sensors consisting of 1D spatial, 1D spectral, and 1D temporal axes, which enables hierarchical analysis of multichannel 2D spectrograms via a convolution neural network (CNN). We assessed the outstanding classification performance of the TRH data set compared to an RGB data set by conducting a relative humidity (RH) concentration classification. The time-dependent spectral response of the colorimetric sensor was measured and trained as a CNN model using TRH and RGB sensor systems at different RH levels. While the TRH model shows a high classification accuracy of 97.5% for the RH concentration, the RGB model yields 72.5% under identical conditions. Furthermore, we demonstrated the detection of various functional volatile gases with the TRH system by using experimental and simulation approaches. The results reveal distinct spectral features from the TRH system, corresponding to changes in the concentration of each substance.

Artificial intelligence in dermatology: advancements and challenges in skin of color.

Artificial intelligence (AI) uses algorithms and large language models in computers to simulate human-like problem-solving and decision-making. AI programs have recently acquired widespread popularity in the field of dermatology through the application of online tools in the assessment, diagnosis, and treatment of skin conditions. A literature review was conducted using PubMed and Google Scholar analyzing recent literature (from the last 10 years through October 2023) to evaluate current AI programs in use for dermatologic purposes, identifying challenges in this technology when applied to skin of color (SOC), and proposing future steps to enhance the role of AI in dermatologic practice. Challenges surrounding AI and its application to SOC stem from the underrepresentation of SOC in datasets and issues with image quality and standardization. With these existing issues, current AI programs inevitably do worse at identifying lesions in SOC. Additionally, only 30% of the programs identified in this review had data reported on their use in dermatology, specifically in SOC. Significant development of these applications is required for the accurate depiction of darker skin tone images in datasets. More research is warranted in the future to better understand the efficacy of AI in aiding diagnosis and treatment options for SOC patients.

Scleredema of Buschke leading to an ulcerated plaque on the neck.

Scleredema diabeticorum (SD) is a common cause of scleredema with limited effective treatment options available. Patients with SD may experience significant discomfort due to symptoms of itching, burning, or pain. SD typically develops due to poor glycaemic control as demonstrated in this case.

Evaluating the clinical efficacy of pulsed dye laser with sirolimus for treatment of capillary malformations: A systematic review.

Port-wine stains (PWS) are capillary vascular anomalies that are often treated with pulsed-dye laser (PDL). Revascularization limits persistent clearance; however, the anti-angiogenic effects of sirolimus (SIRO) may inhibit revascularization. This review aims to determine differences in PWS outcomes when treated with PDL monotherapy or in combination with SIRO. A systematic review was conducted using PubMed, Cochrane, and Embase databases. The following search terms were used: 'port wine stain PDL SIRO', 'port wine stain PDL', and 'port wine stain PDL and topical treatment' with (MeSH) and (Title/Abstract) limits. The search was limited to the English language and human-subject studies conducted between 1 January 2000 and 1 June 2023. Inclusion criteria included studies evaluating SIRO as an adjunct to PDL in patients with PWS. Data extraction and quality assessment were performed by two independent reviewers. A total of nine studies met the inclusion criteria, which included randomized controlled trials (3), case series (2), case reports (3), and a prospective intrapatient study (1), which represented a total of 58 patients. Five studies showed improvement of a measured post-treatment PDL parameter including shortening treatment time and less frequent dosing. A subset of studies (4/9) which did not demonstrate significant clinical improvements exhibited significant photographic evidence of improvement. Heterogeneity among the studies highlights the need for further research and standardization. While adjunctive SIRO shows promise, larger studies and comprehensive evaluation methods are required to establish conclusive safety and efficacy guidelines to shape clinical decision-making.

3D Superclusters with Hybrid Bioinks for Early Detection in Breast Cancer.

The surface-enhanced Raman scattering (SERS) technique has garnered significant interest due to its ultrahigh sensitivity, making it suitable for addressing the growing demand for disease diagnosis. In addition to its sensitivity and uniformity, an ideal SERS platform should possess characteristics such as simplicity in manufacturing and low analyte consumption, enabling practical applications in complex diagnoses including cancer. Furthermore, the integration of machine learning algorithms with SERS can enhance the practical usability of sensing devices by effectively classifying the subtle vibrational fingerprints produced by molecules such as those found in human blood. In this study, we demonstrate an approach for early detection of breast cancer using a bottom-up strategy to construct a flexible and simple three-dimensional (3D) plasmonic cluster SERS platform integrated with a deep learning algorithm. With these advantages of the 3D plasmonic cluster, we demonstrate that the 3D plasmonic cluster (3D-PC) exhibits a significantly enhanced Raman intensity through detection limit down to 10-6 M (femtomole-(10-17 mol)) for p-nitrophenol (PNP) molecules. Afterward, the plasma of cancer subjects and healthy subjects was used to fabricate the bioink to build 3D-PC structures. The collected SERS successfully classified into two clusters of cancer subjects and healthy subjects with high accuracy of up to 93%. These results highlight the potential of the 3D plasmonic cluster SERS platform for early breast cancer detection and open promising avenues for future research in this field.

Safety of dermatologic medications in pregnancy and lactation: An Update - Part I: Pregnancy.

The breadth of therapeutic options for the management of dermatologic skin conditions continues to expand rapidly as exemplified by biologics and small molecule drug development. While dermatologists and healthcare providers are aware of the underlying mechanisms and indications for these therapeutics, there is a recognized practice gap due to an incomplete understanding of the safety of these medications in women of childbearing age during the prepartum, antepartum and postpartum phases. Although a two-part continuing medical education review was published regarding the prescribing practices and safety profiles of these new therapeutics in women of childbearing age while pregnant or lactating in 20141,2, many new medications have been approved since then. Herein, we will update the safety of dermatologic therapies during pregnancy and Part II will review the safety of medications during lactation.

Safety of dermatologic medications in pregnancy and lactation: An Update - Part II: Lactation.

Multiple recently approved medications have been added to our treatment armamentarium for various dermatologic conditions. Herein, we have reviewed the literature, consolidated available safety data, and offered recommendations based upon available evidence as a reference guide for clinicians treating patients for dermatologic conditions during lactation.

Traveling with purpose: cell-to-cell transport of plant mRNAs.

Messenger RNAs (mRNAs) in multicellular organisms can act as signals transported cell-to-cell and over long distances. In plants, mRNAs traffic cell-to-cell via plasmodesmata (PDs) and over long distances via the phloem vascular system to control diverse biological processes - such as cell fate and tissue patterning - in destination organs. Research on long-distance transport of mRNAs in plants has made remarkable progress, including the cataloguing of many mobile mRNAs, characterization of mRNA features important for transport, identification of mRNA-binding proteins involved in their transport, and understanding of the physiological roles of mRNA transport. However, information on short-range mRNA cell-to-cell transport is still limited. This review discusses the regulatory mechanisms and physiological functions of mRNA transport at the cellular and whole plant levels.

Non-intrusive quality appraisal of differentiation-induced cardiovascular stem cells using E-Nose sensor technology.

Stem cell technology holds immense potential for revolutionizing medicine, particularly in regenerative treatment for heart disease. The unique capacity of stem cells to differentiate into diverse cell types offers promise in repairing damaged tissues and implanting organs. Ensuring the quality of differentiated cells, essential for specific functions, demands in-depth analysis. However, this process consumes time and incurs substantial costs while invasive methods may alter stem cell features during differentiation and deplete cell numbers. To address these challenges, we propose a non-invasive strategy, using cellular respiration, to assess the quality of differentiation-induced stem cells, notably cardiovascular stem cells. This evaluation employs an electronic nose (E-Nose) and neural pattern separation (NPS). Our goal is to assess differentiation-induced cardiac stem cells (DICs) quality through E-Nose data analysis and compare it with standard commercial human cells (SCHCs). Sensitivity and specificity were evaluated by interacting SCHCs and DICs with the E-Nose, achieving over 90% classification accuracy. Employing selective combinations optimized by NPS, E-Nose successfully classified all six cell types. Consequently, the relative similarity among DICs like cardiomyocytes, endothelial cells with SCHCs was established relied on comparing response data from the E-Nose sensor without resorting to complex evaluations.

Recombinant adeno-associated virus production evaluation in Chinese hamster ovary cells.

The gene therapy field has advanced in recent years with five recombinant adeno-associated virus (rAAV) based products winning Food and Drug Administration (FDA) approval. As the number of therapeutic applications and overall production demands for rAAV increase, it is valuable to evaluate rAAV production in different production cells. Chinese hamster ovary (CHO) cells have been a robust host for biomolecule manufacturing for more than 35 years. However, there is no report to our knowledge describing the use of CHO cells for rAAV production. In this study, we examined the ability of CHO cells to produce rAAV using a transient plasmid transfection approach. Our results demonstrated that CHO is capable of producing rAAV with detectable viral fundamental components including viral RNAs, proteins, and rAAV viral particles. We identified the expression of cap proteins as one of the limiting factors for rAAV production in CHO cells. We therefore added an additional cytomegalovirus (CMV)-Cap plasmid to the CHO transfection. After increasing cap protein expression, we detected rAAV titers as high as 3 × 108 viral genomes for every 2 × 109 capsids in CHO cells using a quintuple transfection method (standard AAV2 Rep/Cap, helper, gene of interest plasmids, plus CMV-E1, and CMV-Cap plasmids) with comparable full particle percent (average 15%) to that of human embryo kidney (HEK)-derived rAAV. Our study provides a foundation for potential rAAV production in CHO cells.

A Review of the Efficacy of Topical Statins for Treating Disseminated Superficial Actinic Porokeratosis.

Porokeratosis is a rare group of acquired or hereditary dermatoses characterized by linear or annular plaques with a keratotic border. DSAP is the most common porokeratosis, and lesions range from asymptomatic to pruritic circular pink to brown macules, papules, or plaques surrounded by a raised border. DSAP carries about 7.5-10% risk of malignant transformation to SCC or BCC. While in the past DSAP has been widely treated with topical diclofenac, ingenol mebutate, topical vitamin D analog, 5-fluorouracil, imiquimod, photodynamic therapy, retinoids, cryotherapy, and laser therapy, these therapies have shown limited efficacy and have caused adverse effects including inflammatory reactions, hyperpigmentation, pain, and erythema. Recently, a formulation of topical statin and cholesterol has surfaced as a new and promising treatment for DSAP which has shown clinical improvement with a tolerable adverse effect profile when compared to the current therapies. Of the 8 case studies with a total of 20 patients with DSAP, 90% (18/20) reported clinical improvement with various forms of topical statin therapy. While promising, larger randomized controlled trials are needed to evaluate the long-term use of topical statins for DSAP. J Drugs Dermatol. 2023;22(10):     doi:10.36849/JDD.7540.