Sequence-Dependent Surface Coverage of ssDNA Coatings on Single-Wall Carbon Nanotubes.

A combination of experimental measurements and molecular dynamics (MD) simulations was used to investigate how the surfaces of single-wall carbon nanotubes (SWCNTs) are covered by adsorbed ssDNA oligos with different base compositions and lengths. By analyzing the UV absorption spectra of ssDNA-coated SWCNTs before and after coating displacement by a transparent surfactant, the mass ratios of adsorbed ssDNA to SWCNTs were determined for poly-T, poly-C, GT-containing, and AT-containing ssDNA oligos. Based on the measured mass ratios, it is estimated that an average of 20, 22, 26, or 32 carbon atoms are covered by one adsorbed thymine, cytosine, adenine, or guanine nucleotide, respectively. In addition, the UV spectra revealed electronic interactions of varying strengths between the nucleobase aromatic rings and the nanotube π-systems. Short poly-T DNA oligos show stronger π-π stacking interactions with SWCNT surfaces than do short poly-C DNA oligos, whereas both long poly-C and poly-T DNA oligos show strong interactions. These experiments were complemented by MD computations on simulated systems that were constrained to match the measured ssDNA/SWCNT mass ratios. The surface coverages computed from the MD results varied with oligo composition in a pattern that correlates higher measured yields of nanotube fluorescence with greater surface coverage.

ArabBert-LSTM: improving Arabic sentiment analysis based on transformer model and Long Short-Term Memory.

Sentiment analysis also referred to as opinion mining, plays a significant role in automating the identification of negative, positive, or neutral sentiments expressed in textual data. The proliferation of social networks, review sites, and blogs has rendered these platforms valuable resources for mining opinions. Sentiment analysis finds applications in various domains and languages, including English and Arabic. However, Arabic presents unique challenges due to its complex morphology characterized by inflectional and derivation patterns. To effectively analyze sentiment in Arabic text, sentiment analysis techniques must account for this intricacy. This paper proposes a model designed using the transformer model and deep learning (DL) techniques. The word embedding is represented by Transformer-based Model for Arabic Language Understanding (ArabBert), and then passed to the AraBERT model. The output of AraBERT is subsequently fed into a Long Short-Term Memory (LSTM) model, followed by feedforward neural networks and an output layer. AraBERT is used to capture rich contextual information and LSTM to enhance sequence modeling and retain long-term dependencies within the text data. We compared the proposed model with machine learning (ML) algorithms and DL algorithms, as well as different vectorization techniques: term frequency-inverse document frequency (TF-IDF), ArabBert, Continuous Bag-of-Words (CBOW), and skipGrams using four Arabic benchmark datasets. Through extensive experimentation and evaluation of Arabic sentiment analysis datasets, we showcase the effectiveness of our approach. The results underscore significant improvements in sentiment analysis accuracy, highlighting the potential of leveraging transformer models for Arabic Sentiment Analysis. The outcomes of this research contribute to advancing Arabic sentiment analysis, enabling more accurate and reliable sentiment analysis in Arabic text. The findings reveal that the proposed framework exhibits exceptional performance in sentiment classification, achieving an impressive accuracy rate of over 97%.

Is there a relationship between low back pain and ligamentum flavum hypertrophy?

OBJECTIVE: A condition known as ligamentum flavum (LF) hypertrophy occurs when the ligamentum flavum (LF) swells as a result of pressures applied to the spine. Among the elderly population, lumbar spinal stenosis is a major cause of pain and disabilities. Numerous studies indicate that lumbar spinal stenosis etiology involves the ligamentum flavum in a major way. This study looks into the relationship between low back pain and ligamentum flavum thickening. PATIENTS AND METHODS: The imaging tests and case histories of all patients with low back pain who had consecutive magnetic resonance imaging exams performed at the Prince Sattam University and King Khalid hospitals in Al Kharj City will serve as the basis for this retrospective observational study. A radiologist utilized the Pfirrmann grading system, which is based on spinal levels starting from the first lumbar to the first sacral vertebrae, to measure the thickness of the ligamentum flavum in all cases who underwent magnetic resonance imaging (MRI). A correlation between age, hypertrophy of LF, and low back pain was investigated. RESULTS: There were 79 participants in the study, ages ranging from 21 to 82, 49 of which were men. The patients' average age was 54 years, and 62% of them were men. We found no appreciable variations in LF thickness according to gender. At the L4-L5 and L5-S1 levels, the left LF was noticeably thicker than the right. Moreover, there was a significant difference (p < 0.05) in the bilateral LF thicknesses at L5-S1 compared to the comparable sides at L4-L5. CONCLUSIONS: By evaluating the thickness of LF on magnetic resonance images, we discovered that it may be closely associated with the etiology of pain processes in the spine.

Symptoms and management of cow's milk allergy: perception and evidence.

Introduction: The diagnosis and management of cow's milk allergy (CMA) is a topic of debate and controversy. Our aim was to compare the opinions of expert groups from the Middle East (n = 14) and the European Society of Paediatric Gastroenterology, Hepatology and Nutrition (ESPGHAN) (n = 13). Methods: These Expert groups voted on statements that were developed by the ESPGHAN group and published in a recent position paper. The voting outcome was compared. Results: Overall, there was consensus amongst both groups of experts. Experts agreed that symptoms of crying, irritability and colic, as single manifestation, are not suggestive of CMA. They agreed that amino-acid based formula (AAF) should be reserved for severe cases (e.g., malnutrition and anaphylaxis) and that there is insufficient evidence to recommend a step-down approach. There was no unanimous consensus on the statement that a cow's milk based extensively hydrolysed formula (eHF) should be the first choice as a diagnostic elimination diet in mild/moderate cases. Although the statements regarding the role for hydrolysed rice formula as a diagnostic and therapeutic elimination diet were accepted, 3/27 disagreed. The votes regarding soy formula highlight the differences in opinion in the role of soy protein in CMA dietary treatment. Generally, soy-based formula is seldom available in the Middle-East region. All ESPGHAN experts agreed that there is insufficient evidence that the addition of probiotics, prebiotics and synbiotics increase the efficacy of elimination diets regarding CMA symptoms (despite other benefits such as decrease of infections and antibiotic intake), whereas 3/14 of the Middle East group thought there was sufficient evidence. Discussion: Differences in voting are related to geographical, cultural and other conditions, such as cost and availability. This emphasizes the need to develop region-specific guidelines considering social and cultural conditions, and to perform further research in this area.

Rubella immunity among pregnant women and the burden of congenital rubella syndrome (CRS) in India, 2022.

BACKGROUND: India aims to eliminate rubella and congenital rubella syndrome (CRS) by 2023. We conducted serosurveys among pregnant women to monitor the trend of rubella immunity and estimate the CRS burden in India following a nationwide measles and rubella vaccination campaign. METHODS: We surveyed pregnant women at 13 sentinel sites across India from Aug to Oct 2022 to estimate seroprevalence of rubella IgG antibodies. Using age-specific seroprevalence data from serosurveys conducted during 2017/2019 (prior to and during the vaccination campaign) and 2022 surveys (after the vaccination campaign), we developed force of infection (FOI) models and estimated incidence and burden of CRS. RESULTS: In 2022, rubella seroprevalence was 85.2% (95% CI: 84.0, 86.2). Among 10 sites which participated in both rounds of serosurveys, the seroprevalence was not different between the two periods (pooled prevalence during 2017/2019: 83.5%, 95% CI: 82.1, 84.8; prevalence during 2022: 85.1%, 95% CI: 83.8, 86.3). The estimated annual incidence of CRS during 2017/2019 in India was 218.3 (95% CI: 209.7, 226.5) per 100, 000 livebirths, resulting in 47,120 (95% CI: 45,260, 48,875) cases of CRS every year. After measles-rubella (MR) vaccination campaign, the estimated incidence of CRS declined to 5.3 (95% CI: 0, 21.2) per 100,000 livebirths, resulting in 1141 (95% CI: 0, 4,569) cases of CRS during the post MR-vaccination campaign period. CONCLUSION: The incidence of CRS in India has substantially decreased following the nationwide MR vaccination campaign. About 15% of women in childbearing age in India lack immunity to rubella and hence susceptible to rubella infection. Since there are no routine rubella vaccination opportunities for this age group under the national immunization program, it is imperative to maintain high rates of rubella vaccination among children to prevent rubella virus exposure among women of childbearing age susceptible for rubella.

Dulaglutide reduces oxidative DNA damage and hypermethylation in the somatic cells of mice fed a high-energy diet by restoring redox balance, inflammatory responses, and DNA repair gene expressions.

Obesity is an established risk factor for numerous malignancies, although it remains uncertain whether the disease itself or weight-loss drugs are responsible for a greater predisposition to cancer. The objective of the current study was to determine the impact of dulaglutide on genetic and epigenetic DNA damage caused by obesity, which is a crucial factor in the development of cancer. Mice were administered a low-fat or high-fat diet for 12 weeks, followed by a 5-week treatment with dulaglutide. Following that, modifications of the DNA bases were examined using the comet assay. To clarify the underlying molecular mechanisms, oxidized and methylated DNA bases, changes in the redox status, levels of inflammatory cytokines, and the expression levels of some DNA repair genes were evaluated. Animals fed a high-fat diet exhibited increased body weights, elevated DNA damage, oxidation of DNA bases, and DNA hypermethylation. In addition, obese mice showed altered inflammatory responses, redox imbalances, and repair gene expressions. The findings demonstrated that dulaglutide does not exhibit genotoxicity in the investigated conditions. Following dulaglutide administration, animals fed a high-fat diet demonstrated low DNA damage, less oxidation and methylation of DNA bases, restored redox balance, and improved inflammatory responses. In addition, dulaglutide treatment restored the upregulated DNMT1, Ogg1, and p53 gene expression. Overall, dulaglutide effectively maintains DNA integrity in obese animals. It reduces oxidative DNA damage and hypermethylation by restoring redox balance, modulating inflammatory responses, and recovering altered gene expressions. These findings demonstrate dulaglutide's expediency in treating obesity and its associated complications.

High-Efficiency Adsorption of Uranium from Wastewater Using Graphene Oxide/Graphene Oxide Nanoribbons/Chitosan Nanocomposite Aerogels.

A chemical exfoliation and freeze-drying technique was used to create graphene oxide/graphene oxide nanoribbons/chitosan aerogels (GO/GONRs/CS). Aerogels were utilized to study uranium adsorption through batch experiments. Environmental influences on U(VI) adsorption were studied, including the starting concentration of U(VI), contact time, pH, and temperature. In order to characterize the composite, FTIR, SEM, XRD, and TEM analyses were used. A pseudo-second-order kinetic model may adequately represent the kinetics of U(VI) adsorption onto the surface of aerogels. The Freundlich model can explain the adsorption isotherm; the maximal adsorption capacity for U(VI) was determined to be 1208.85 mg/g; the adsorption process for U(VI) was endothermic, spontaneous, and pH-dependent; and the mechanism of adsorption is the chemisorption process. Chemisorption typically involves strong chemical interactions between the adsorbate (uranium ions) and the functional groups present on the surface of the adsorbent (the aerogel). Graphene oxide and graphene oxide nanoribbons contain oxygen-containing functional groups such as carboxyl (-COOH), hydroxyl (-OH), and epoxy (-O-) groups, which can act as active sites for chemical bonding. Chitosan, a polysaccharide derived from chitin, also possesses functional groups like amino (-NH2) and hydroxyl groups. Uranium ions, in their U(VI) form, can form chemical bonds with these functional groups through various mechanisms such as electrostatic interactions, complexation, and coordination bonds. The combination of graphene oxide-based materials and chitosan in the nanocomposite aerogel offers several advantages, including a large specific surface area, chemical stability, and the presence of functional groups for effective uranium adsorption.

A population analysis of delayed ejaculation using a claims database: characteristics and national trends in prevalence, incidence, and pharmacotherapy.

We investigated the prevalence, incidence, and rates of pharmacological treatment of delayed ejaculation using the TriNetX Diamond Network. We included all men evaluated in the inpatient, outpatient, and emergency settings. Prevalence was determined by comparing the number of men diagnosed with delayed ejaculation to the entire population. Incidence was determined by comparing the number of men diagnosed with delayed ejaculation without a prior diagnosis to the overall population without a prior diagnosis. Rates of pharmacologic treatment were calculated by comparing the number of men who received a prescription to the total number of men with delayed ejaculation. Trends in prevalence and incidence were compared using six-month intervals, while trends in pharmacologic treatment were compared using one-year intervals. A total of 23,164 adult males were diagnosed with delayed ejaculation from 2013 to 2019. During the final six-month interval (July to December 2019), 2,747 of 16,496,744 men received a delayed ejaculation diagnosis, and 1,375 of 16,488,270 men without a prior diagnosis were diagnosed with delayed ejaculation. In 2019, only 916 of 4,733 (19.4%) men diagnosed with delayed ejaculation received any prescription, with the most common being testosterone (9.5%), bupropion (6.6%), and buspirone (2.3%). Prevalence, incidence and pharmacologic treatment all had increasing trends.

The use of cap-mounted clips as a primary hemostatic modality in nonvariceal upper gastrointestinal bleeding: A systematic review and meta-analysis of randomized trials.

BACKGROUND: Cap-mounted-clips, especially Over-The-Scope-Clip (OTSC™), are recommended for recurrent nonvariceal upper gastrointestinal bleeding (NVUGIB). There has been recent interest in their use as an initial hemostatic modality. We performed a systematic review of randomized controlled trials (RCTs) assessing cap-mounted clips' efficacy as a primary hemostatic modality in NVUGIB. METHODS: A literature search of MEDLINE, EMBASE, and ISI Web of Science databases up to April 2024 identified RCTs comparing cap-mounted clips to standard endoscopic therapy (SET) as a primary hemostatic modality in NVUGIB. The primary endpoint was the composite outcome of further bleeding (persistent or recurrent) at 30 days. Secondary outcomes included persistent bleeding at index endoscopy and 30-day rebleeding, individually. Other pertinent outcomes were also recorded. A meta-analysis was performed to determine pooled risk ratios (RRs), comparing cap-mounted clip to SET. Out of 516 citations, five RCTs (n = 555), all assessing OTSC™, were included. RESULTS: The composite outcome of further bleeding was lower with cap-mounted clip versus SET (RR = 0.33 [95% confidence interval {CI}: 0.20-0.54]). There was no difference in persistent bleeding at initial endoscopy (RR = 0.30 [95% CI: 0.07-1.30]), but 30-day rebleeding was lower with cap-mounted clip (RR = 0.38 [95% CI: 0.21-0.70]). There were no differences in other outcomes. Grading of the evidence ranged from very low to moderate, mainly due to risk of bias and imprecision. CONCLUSIONS: Cap-mounted clips may be an efficacious primary hemostatic modality, associated with a lower further bleeding at 30 days compared to SET in NVUGIB. However, due to limitations in existing evidence, further research must better characterize an optimal subgroup of patients benefiting most from this approach before adopting its routine use.

Removal of organic contamination from wastewater using granular activated carbon modified-Polyethylene glycol: Characterization, kinetics and isotherm study.

To effectively remove Diazinon (DZ), Amoxicillin (AMX), and Crystal Violet (CV) from aquatic environments, a novel granular activated carbon (GAC) modified with Polyethylene glycol 600 (PEG) was created and manufactured. The chemical properties were investigated using a variety of characteristic analyses, including FT-IR, XRD, FESEM, and N2 adsorption/desorption. The effectiveness of GAC-PEG's adsorption for the removal of DZ, AMX, and CV was assessed under a variety of conditions, including a pH of 4-9 for the solution, 0.003-0.05 g doses of adsorbent, 50-400 ppm starting concentration, and a reaction time of 5-25 min. For DZ, AMX, and CV adsorption, the maximum adsorption capacity (Qmax) was 1163.933, 1163.100, and 1150.300 mg g-1, respectively. The Langmuir isotherm described all of the data from these adsorption experiments, and the pseudo-second-order well explains all-adsorption kinetics. Most contacts between molecules, electrostatic interactions, π-π interactions, hydrogen bonding, and entrapment in the modified CAG network were used to carry out the DZ, AMX, and CV adsorption on the GAC-PEG. The retrievability of the prepared adsorbent was successfully investigated in studies up to two cycles without loss of adsorption efficiency, and it was shown that it can be efficiently separated.

Virus-Shaped Mesoporous Silica Nanostars to Improve the Transport of Drugs across the Blood-Brain Barrier.

Conditions affecting the brain are the second leading cause of death globally. One of the main challenges for drugs targeting brain diseases is passing the blood-brain barrier (BBB). Here, the effectiveness of mesoporous silica nanostars (MSiNSs) with two different spike lengths to cross an in vitro BBB multicellular model was evaluated and compared to spherical nanoparticles (MSiNP). A modified sol-gel single-micelle epitaxial growth was used to produce MSiNS, which showed no cytotoxicity or immunogenicity at concentrations of up to 1 µg mL-1 in peripheral blood mononuclear and neuronal cells. The nanostar MSiNS effectively penetrated the BBB model after 24 h, and MSiNS-1 with a shorter spike length (9 ± 2 nm) crossed the in vitro BBB model more rapidly than the MSiNS-2 with longer spikes (18 ± 4 nm) or spherical MSiNP at 96 h, which accumulated in the apical and basolateral sides, respectively. Molecular dynamic simulations illustrated an increase in configurational flexibility of the lipid bilayer during contact with the MSiNS, resulting in wrapping, whereas the MSiNP suppressed membrane fluctuations. This work advances an effective brain drug delivery system based on virus-like shaped MSiNS for the treatment of different brain diseases and a mechanism for their interaction with lipid bilayers.

Colon Cancer Disease Diagnosis Based on Convolutional Neural Network and Fishier Mantis Optimizer.

Colon cancer is a prevalent and potentially fatal disease that demands early and accurate diagnosis for effective treatment. Traditional diagnostic approaches for colon cancer often face limitations in accuracy and efficiency, leading to challenges in early detection and treatment. In response to these challenges, this paper introduces an innovative method that leverages artificial intelligence, specifically convolutional neural network (CNN) and Fishier Mantis Optimizer, for the automated detection of colon cancer. The utilization of deep learning techniques, specifically CNN, enables the extraction of intricate features from medical imaging data, providing a robust and efficient diagnostic model. Additionally, the Fishier Mantis Optimizer, a bio-inspired optimization algorithm inspired by the hunting behavior of the mantis shrimp, is employed to fine-tune the parameters of the CNN, enhancing its convergence speed and performance. This hybrid approach aims to address the limitations of traditional diagnostic methods by leveraging the strengths of both deep learning and nature-inspired optimization to enhance the accuracy and effectiveness of colon cancer diagnosis. The proposed method was evaluated on a comprehensive dataset comprising colon cancer images, and the results demonstrate its superiority over traditional diagnostic approaches. The CNN-Fishier Mantis Optimizer model exhibited high sensitivity, specificity, and overall accuracy in distinguishing between cancer and non-cancer colon tissues. The integration of bio-inspired optimization algorithms with deep learning techniques not only contributes to the advancement of computer-aided diagnostic tools for colon cancer but also holds promise for enhancing the early detection and diagnosis of this disease, thereby facilitating timely intervention and improved patient prognosis. Various CNN designs, such as GoogLeNet and ResNet-50, were employed to capture features associated with colon diseases. However, inaccuracies were introduced in both feature extraction and data classification due to the abundance of features. To address this issue, feature reduction techniques were implemented using Fishier Mantis Optimizer algorithms, outperforming alternative methods such as Genetic Algorithms and simulated annealing. Encouraging results were obtained in the evaluation of diverse metrics, including sensitivity, specificity, accuracy, and F1-Score, which were found to be 94.87%, 96.19%, 97.65%, and 96.76%, respectively.

Apple Intelligence in neurosurgery.

With the current artificial intelligence (AI) boom, new innovative and accessible applications requiring minimal computer science expertise have been developed for discipline specific and mainstream purposes. Apple Intelligence, a new AI model developed by Apple, aims to enhance user experiences with new functionalities across many of its product offerings. Although designed for the everyday user, many of these advances have potential applications in neurosurgery. These include functionalities for writing, image generation, and upgraded integrations to the voice command assistant Siri. Future integrations may also include other Apple products such as the vision pro for preoperative and intraoperative applications. Considering the popularity of Apple products, particularly the iPhone, it is important to appraise this new technology and how it can be leveraged to enhance patient care, improve neurosurgical education, and facilitate more efficiency for the neurosurgeon.

A new fabricated hetero-atom doped carbon quantum dots as a fluorescent probe for metronidazole determination using garlic and red lentils with microwave assistance.

Biocompatible and highly fluorescent phosphorus, nitrogen and sulfur carbon quantum dots (P,N,S-CQDs) were synthesized using a quick and ecologically friendly process inspired from plant sources. Garlic and red lentils were utilized as natural and inexpensive sources for efficient synthesis of the carbon-based quantum dots using green microwave-irradiation, which provides an ultrafast route for carbonization of the organic biomass and subsequent fabrication of P,N,S-CQDs within only 3 min. The formed P,N,S-CQDs showed excellent blue fluorescence at λem = 412 nm when excited at 325 nm with a quantum yield up to 26.4%. These fluorescent dots were used as a nano-sensor for the determination of the commonly used antibacterial and antiprotozoal drug, metronidazole (MTR). As MTR lacked native fluorescence and prior published techniques had several limitations, the proposed methodology became increasingly relevant. This approach affords sensitive detection with a wide linear range of 0.5-100.0 µM and LOD and LOQ values of 0.14 µM and 0.42 µM, respectively. As well as, it is cost-effective and ecologically benign. The MTT test was used to evaluate the in-vitro cytotoxicity of the fabricated P,N,S-CQDs. The findings supported a minimally cytotoxic impact and good biocompatibility, which provide a future perspective for the applicability of these CQDs in biomedical applications.

The role of TNF-α and il-6 SNP in polycystic ovary syndrome susceptibility.

OBJECTIVE: Aim: To shed the light on the impact of TNF-α 1031 T/C (rs-1800629) and IL-6 174 G/C (rs1800795) polymorphism with disease susceptibility and development. PATIENTS AND METHODS: Materials and Methods: A case-control study has been established based on 50 women with confirmed diagnosed polycystic ovarian syndrome, and 50 healthy controls. Allele specific PCR have been done in order to study SNP of TNF-alpha and IL-6 in both groups. RESULTS: Result: The findings of the present investigation indicated that there was a signif i cant dif f erence in the frequency distribution of TNF-alpha 1031 T/C SNP according to genotype between patients and controls group p = 0.02. In addition, there is a high significant difference in the frequencies of distribution of alleles (T/C) between patients and control group p = 0.001. There was a signif i cant dif f erence in the frequency distribution of IL-6 174 G/C between patients and controls group p = 0.026. In addition, there is a signif i cant dif f erence in the frequencies of distribution of participants according to allele (G/C) between patients and control group p = 0.047. Genotype GC was significantly lower in patients' group and genotype GG was high significant in patients' group in comparison with a control group and the differences were significant, p = 0.024 and 0.006, respectively. CONCLUSION: Conclusions: The present study concluded that IL-6 174 G/C, (rs:1800795) single nucleotide polymorphism (SNP) and TNF-alpha 1031 T/C (rs-1800629) were associated with PCOS susceptibility, and GG genotype in IL-6 and C allele in TNF are considered as risk factor.

Examining the quaternary ammonium chitosan Schiff base-ZnO nanocomposite's potential as protective therapy for rats' cisplatin-induced hepatotoxicity.

BACKGROUND: Despite cisplatin's long history as a cornerstone in cancer therapy, both acquired chemoresistance and significant impacts on healthy tissues limit its use. Hepatotoxicity is one of its side effects. Adjunct therapies have shown promise in not only attenuating liver damage caused by cisplatin but also in enhancing the efficacy of chemotherapy. In this context, a new quaternary ammonium chitosan Schiff base (QACSB) was synthesized and applied as an encapsulating agent for the in-situ synthesis of QACSB-ZnO nanocomposite. MATERIAL AND METHODS: Thirty male albino rats were classified into Group 1 (control) distilled water, Group 2 (Cisplatin-treated) (12 mg/kg, i.p), and Group 3 (QACSB-ZnO NCs/cisplatin-treated) (150 mg/kg/day QACSB-ZnO NCs, i.p) for 14 days + a single dose of cisplatin. Liver functions, tissue TNF-α, MDA, and GSH were measured as well as histopathological and immunohistochemical studies were performed. RESULTS: The QACSB-ZnO NCs significantly restore liver functions, tissue TNF-α, MDA, and GSH levels (p < 0.001). Histopathological examination showed patchy necrosis in the cisplatin-treated group versus other groups. The QACSB-ZnO NCs showed a weak TGF-ß1 (score = 4) and a moderate Bcl-2 immunohistochemistry expression (score = 6) versus the CP group. CONCLUSIONS: QACSB-ZnO NCs have been shown to protect the liver from cisplatin-induced hepatotoxicity.

Genomic Characteristics of an Extensive-Drug-Resistant Clinical Escherichia coli O99 H30 ST38 Recovered from Wound.

Background: Antibiotic-resistant Escherichia coli is one of the major opportunistic pathogens that cause hospital-acquired infections worldwide. These infections include catheter-associated urinary tract infections (UTIs), ventilator-associated pneumonia, surgical wound infections, and bacteraemia. Objectives: To understand the mechanisms of resistance and prevent its spread, we studied E. coli C91 (ST38), a clinical outbreak strain that was extensively drug-resistant. The strain was isolated from an intensive care unit (ICU) in one of Kuwait's largest hospitals from a patient with UTI. Methods: This study used whole-genome sequencing (Illumina, MiSeq) to identify the strain's multi-locus sequence type, resistance genes (ResFinder), and virulence factors. This study also measured the minimum inhibitory concentrations (MIC) of a panel of antibiotics against this isolate. Results: The analysis showed that E. coli C-91 was identified as O99 H30 ST38 and was resistant to all antibiotics tested, including colistin (MIC > 32 mg/L). It also showed intermediate resistance to imipenem and meropenem (MIC = 8 mg/L). Genome analysis revealed various acquired resistance genes, including mcr-1, bla CTX-M-14, bla CTX-M-15, and bla OXA1. However, we did not detect bla NDM or bla VIM. There were also several point mutations resulting in amino acid changes in chromosomal genes: gyrA, parC, pmrB, and ampC promoter. Additionally, we detected several multidrug efflux pumps, including the multidrug efflux pump mdf(A). Eleven prophage regions were identified, and PHAGE_Entero_SfI_NC was detected to contain ISEc46 and ethidium multidrug resistance protein E (emrE), a small multidrug resistance (SMR) protein family. Finally, there was an abundance of virulence factors in this isolate, including fimbriae, biofilm, and capsule formation genes. Conclusions: This isolate has a diverse portfolio of antimicrobial resistance and virulence genes and belongs to ST38 O99 H30, posing a serious challenge to treating infected patients in clinical settings.

Role of adaptive radiotherapy during concomitant chemoradiotherapy for limited-stage small-cell lung cancer.

BACKGROUND: Tumor shrinkage is frequently observed during conventionally fractionated chemoradiotherapy for limited-stage small-cell lung cancer (SCLC). The specific goals of this study are to evaluate the gross tumor volume (GTV) changes due to treatment-induced tumor reduction during the course of radiotherapy (RT) and to examine its potential use in adaptive radiotherapy (ART) for tumor dose escalation or normal tissue sparing in patients with SCLC. MATERIALS AND METHODS: A total of 10 patients with SCLC eligible for chemoradiotherapy underwent computed tomography (CT) scan after Fractions 13 and 23 (at nominal doses of 23.4 Gy and 41.4 Gy, respectively). The GTV was delineated on the repeat CT scans, and two treatment plans were generated with or without adaptation to tumor shrinkage during RT for each patient. Dosimetric and volumetric analyses were performed. RESULTS: The average GTV reduction observed over 13 fractions was 58.5% (range: 13.2%-92.3%; P < 0.001) and over 23 fractions was 70% (range: 36.9%-84.5%; P < 0.001). Compared with the plan without adaptation, ART resulted in mean lung dose relative decreases of 8.7%, mean lung volume receiving ≥20 Gy relative decreases of 5%, mean lung volume receiving ≥5Gy relative decreases of 10%, mean medulla spinalis dose relative decreases of 21 cGy, mean esophagus volume receiving ≥50 Gy relative decreases of 19%, and mean heart volume receiving ≥42 Gy relative decreases of 13%. The benefits of ART were the greatest for tumor volumes ≥30 cm3 and are directly dependent on GTV reduction during treatment. CONCLUSION: ART for SCLC achieved a significant benefit in terms of organ at risk (OAR) and dose escalation.

Cyanotoxin accumulation and growth patterns of biocrust communities under variable environmental conditions.

Biocrusts dominate the soil surface in deserts and are composed of diverse microbial communities that provide important ecosystem services. Cyanobacteria in biocrusts produce many secondary metabolites, including the neurotoxins BMAA, AEG, DAB, anatoxin-a(S) (guanitoxin), and the microcystin hepatotoxins, all known or suspected to cause disease or illness in humans and other animals. We examined cyanobacterial growth and prevalence of these toxins in biocrusts at millimeter-scales, under a desert-relevant illumination gradient. In contrast to previous work, we showed that hydration had an overall positive effect on growth and toxin accumulation, that nitrogen was not correlated with growth or toxin production, and that phosphorus enrichment negatively affected AEG and BMAA concentrations. Excess illumination positively correlated with AEG, and negatively correlated with all other toxins and growth. Basic pH negatively affected only the accumulation of BMAA. Anatoxin-a(S) (guanitoxin) was not correlated with any tested variables, while microcystins were not detected in any of the samples. Concerning toxin pools, AEG and BMAA were good predictors of the presence of one another. In a newly conceptualized scheme, we integrate aspects of biocrust growth and toxin pool accumulations with arid-relevant desertification drivers.