Unique among high passes: Phylogenetic inferences from DNA barcoding of the butterfly fauna of Ladakh Trans-Himalaya, India.

The butterfly assemblage of Ladakh Trans-Himalaya demands a thorough analysis of their population genetic structure owing to their typical biogeographic affinity and their adaptability to extreme cold-desert climates. No such effort has been taken till date, and in this backdrop, we created a barcode reference library of 60 specimens representing 23 species. Barcodes were generated from freshly collected leg samples using the Sanger sequencing method, followed by phylogenetic clade analyses and divergence calculation. Our data represents 22% of Ladakh's Rhopaloceran fauna with the novel barcode submission for six species, including one Schedule II species, Paralasa mani . Contrary to the 3% threshold rule, the interspecific divergence between two species pairs of typical mountain genus Hyponephele and Karanasa was found to be 2.3% and 2.2%, respectively. The addition of conspecific global barcodes revealed that most species showed little increase in divergence value, while a two-fold increase was noted in a few species. Bayesian clade clustering outcomes largely aligned with current morphological classifications, forming monophyletic clades of conspecific barcodes, with only minor exceptions observed for the taxonomically complicated genus Polyommatus and misidentified records of Aulocera in the database. We also observed variations within the same phylogenetic clades forming nested lineages, which may be attributed to the taxonomic intricacies present at the subspecies level globally, mostly among Eurasian species. Overall, our effort not only substantiated the effectiveness of DNA Barcoding for the identification and conservation of this climatically vulnerable assemblage but also highlighted the significance of deciphering the unique genetic composition among this geographically isolated population of Ladakh butterflies.

Long-term Outcome of Coronavirus Disease-associated Mucormycosis: 1-year Follow-up Study from India.

IMPORTANCE: Invasive fungal infections have recently become a public health problem, particularly in India following the second wave of coronavirus disease 2019 (COVID-19). India harbors the world's largest population of patients suffering from diabetes. What prompted the sudden spike of mucormycosis infections in the COVID pandemic needs investigation. OBJECTIVE: To determine if COVID-19 infection prompted the spike in invasive fungal infections in diabetic population. To determine the long-term outcome of COVID-associated mucormycosis. To determine if COVID-19 infection causes diabetes mellitus transiently. DESIGN: The study was a prospective cohort study comprising patients suffering from mucormycosis. The study was planned from 20 May 2021, until 30 November 2022, to investigate the long-term follow-up (1 year) of mucormycosis patients. SETTING: The study setting was a referral hospital. PARTICIPANTS: All the consecutive patients admitted to this hospital for treatment of mucormycosis were included in the study who consented to it. Intervention(s) (for clinical trials) or exposure(s) (for observational studies): All patients suffering with mucormycosis underwent treatment at this hospital with surgery and injectable systemic antifungal drugs alongside diabetes management. MAIN OUTCOME(S) AND MEASURE(S): Primary outcome measurement was in the form of survival with cure of mucormycosis. Hypothesis being tested was formulated during data collection. RESULTS: The data of 98 participants was collected, but analysis was done after excluding the case of cutaneous mucormycosis (infant patient). Mean age for patients was 55.5 years, varying from 28 to 88 years. In our study, 63.3% of patients with mucormycosis were males and 37.8% were females, of which 55.7% (34) and 58.3% (21) were known diabetics, respectively. Previous history of diabetes mellitus was identified as an underlying comorbid condition in 56.7% of patients, while the rest were diagnosed with new-onset diabetes mellitus. Sugar levels ranged (on admission) from 112 to 494 mg/dL (median 212 mg/dL) for known diabetics and from 132 to 356 mg/dL (median 204 mg/dL) for newly diagnosed diabetics. Other comorbidities included hypertension (19.5%), ischemic heart disease (8.2%), chronic renal illness (3.09%), and one case (1.03%) of postoperative renal cell carcinoma (disease-free). The majority of cases (91.8%) were not vaccinated for COVID-19, while only two patients reported a history of vaccination with two doses, and six others had received only a single dose. At the 1-year follow-up, 57.7% of cases were disease-free, 30.9% had expired, and 11.3% were lost to follow-up. The mean glycated hemoglobin (HbA1c) at the time of admission was found to be statistically significant when compared between known diabetics and newly diagnosed ones [confidence interval (CI)-95%, p ≤ 0.01]. A total of seven patients from the newly diagnosed diabetic group no longer required medicines for diabetes at the end of 1 year (CI-95%, p ≤ 0.01). CONCLUSIONS AND RELEVANCE: Diabetes mellitus, particularly with poor glycemic control, was the single most important factor associated with and predictor of outcome. Contrary to the popular hypothesis, industrial oxygen and oxygen masks were not the reasons for the mucormycosis pandemic. Additionally, immunization against COVID provided protection not only from severe COVID but also from COVID-associated mucormycosis. It is recommended that patients with mucormycosis be followed for longer periods as a few patients could be suffering from transient diabetes, particularly against the backdrop of a pandemic.

Enhanced identification of endocrine disruptors through integration of science-based regulatory practices and innovative methodologies: The MERLON Project.

The prevalence of hormone-related health issues caused by exposure to endocrine disrupting chemicals (EDCs) is a significant, and increasing, societal challenge. Declining fertility rates together with rising incidence rates of reproductive disorders and other endocrine-related diseases underscores the urgency in taking more action. Addressing the growing threat of EDCs in our environment demands robust and reliable test methods to assess a broad variety of endpoints relevant for endocrine disruption. EDCs also require effective regulatory frameworks, especially as the current move towards greater reliance on non-animal methods in chemical testing puts to test the current paradigm for EDC identification, which requires that an adverse effect is observed in an intact organism. Although great advances have been made in the field of predictive toxicology, disruption to the endocrine system and subsequent adverse health effects may prove particularly difficult to predict without traditional animal models. The MERLON project seeks to expedite progress by integrating multispecies molecular research, new approach methodologies (NAMs), human clinical epidemiology, and systems biology to furnish mechanistic insights and explore ways forward for NAM-based identification of EDCs. The focus is on sexual development and function, from foetal sex differentiation of the reproductive system through mini-puberty and puberty to sexual maturity. The project aims are geared towards closing existing knowledge gaps in understanding the effects of EDCs on human health to ultimately support effective regulation of EDCs in the European Union and beyond.

Optimizing Perioperative Care for Ventricular Tachycardia Ablation in High-Risk Patients Supported by Impella 5.5.

Impella 5.5 (Abiomed Inc., Danvers, MA, USA) is a surgically implanted mechanical circulatory support device that helps support hemodynamically compromised patients. The device's risks and benefits must be entirely known, especially in the electrophysiology lab. Due to unexpected hemodynamic changes during pace mapping and ablation, such as ventricular tachycardia (VT) and asystole, it is sometimes necessary to implement chemical support with inotropic agents such as epinephrine or mechanical support with devices such as an Impella. We present the case of a 72-year-old male with a biventricular implantable cardioverter-defibrillator (ICD) (Medtronic, Minneapolis, MN, USA) placed for refractory VT presenting for VT ablation. He had ischemic cardiomyopathy with a left ventricular ejection fraction (LVEF) of 33% and medical history of cardiac sarcoidosis, hypertension, hyperlipidemia, pulmonary embolism, left bundle branch block, and coronary artery disease. Due to the nature of the procedure and his history of arrhythmia, the patient was deemed a candidate for Impella 5.5. After evaluating patient risk factors, the cardiothoracic anesthesia team developed a strategic approach with imaging (including radiographic and echocardiographic imaging), Impella monitoring, and pharmacologic management with inotropes and vasopressors, allowing for uncomplicated perioperative management during the ablation. Given the procedure's intricacies and the patient's arrhythmia history, the medical team identified the patient as suitable for Impella 5.5 due to better performance and greater cardiac output than Impella 2.5 (Abiomed Inc., Danvers, MA, USA). Following a thorough assessment of the patient's risk factors, the cardiothoracic anesthesia team devised a comprehensive strategy to facilitate smooth perioperative management during the ablation, minimizing complications. The VT ablation procedure was performed successfully and effectively terminated the arrhythmia. However, the patient developed multifaceted postoperative complications, including cardiogenic shock, hemorrhagic shock, dyspnea, anemia, gastrointestinal abnormalities, and sepsis.  This case represents a highly complex patient scenario under the care of the cardiovascular anesthesiologist due to the nature of the procedure and numerous cardiovascular comorbidities, low ejection fraction, ICD placement, and malignant ventricular arrhythmia. We discuss the various perioperative management strategies and how they are tailored to such patients, including pharmacologic intervention, anesthesia administration, imaging modalities, and postoperative care. The purpose of this case report is to delineate the role of Impella 5.5 in perioperative care for high-risk VT ablation patients. We discuss the progression, pathophysiology, and management of this patient's multisystem complications following the procedure. We also highlight the use of Impella 5.5 in the electrophysiology lab and the anesthesia considerations, safeguards, and management strategies to optimize perioperative outcomes and avoid complications.

A Validated Chiral Chromatography Method for Enantiomeric Separation of Pomalidomide in Human Plasma.

In the present work, new chiral stationary phase high-performance liquid chromatography (CSP-HPLC) method was established and validated for the quantification of pomalidomide (PMD) enantiomers in human plasma. The chromatographic enantiomeric separation was achieved on a Daicel-CSP, Chiralpack IA 4.6 × 250 mm, 5 µm; because of its advantages of high degree of retention, high resolution capacity, better reproducibility, ability to produce lower back pressure and low degree of tailing. The mobile phase was maintained as methanol: glacial acetic acid (499.50 ml:50 µL). Ultraviolet wavelength for detection was 220 nm. PMD enantiomer-I and enantiomer-II were separated at 8.83 and 15.34 min, respectively. Limit of detection and limit of quantification for each enantiomer and the calibration curve of standard PMD was linear in range between 10-5,000 ng mL-1. The method was validated according to The International Council for Harmonisation of Technical Requirements of Pharmaceuticals for Human Use (ICH(Q2R1)) specific guidelines. We found no interference peak with PMD chromatogram obtained. This is a simple, reliable and specific method for detection and quantification of enantiomer of PMD in human plasma sample.

Computational insights into allosteric inhibition of focal adhesion kinase: A combined pharmacophore modeling and molecular dynamics approach.

Focal adhesion kinase (FAK) is a non-receptor tyrosine kinase that modulates integrin and growth factor signaling pathways and is implicated in cancer cell migration, proliferation, and survival. Over the past decade various, FAK kinase, FERM, and FAT domain inhibitors have been reported and a few kinase domain inhibitors are under clinical consideration. However, few of them were identified as multikinase inhibitors. In kinase drug design selectivity is always a point of concern, to improve selectivity allosteric inhibitor development is the best choice. The current research utilized a pharmacophore modeling (PM) approach to identify novel allosteric inhibitors of FAK. The all-available allosteric inhibitor bound 3D structures with PDB ids 4EBV, 4EBW, and 4I4F were utilized for the pharmacophore modeling. The validated PM models were utilized to map a database of 770,550 compounds prepared from ZINC, EXIMED, SPECS, ASINEX, and InterBioScreen, aiming to identify potential allosteric inhibitors. The obtained compounds from screening step were forwarded to molecular docking (MD) for the prediction of binding orientation inside the allosteric site and the results were evaluated with the known FAK allosteric inhibitor (REF). Finally, 14 FAK-inhibitor complexes were selected from the docking study and were studied under molecular dynamics simulations (MDS) for 500 ns. The complexes were ranked according to binding free energy (BFE) and those demonstrated higher affinity for allosteric site of FAK than REF inhibitors were selected. The selected complexes were further analyzed for intermolecular interactions and finally, three potential allosteric inhibitor candidates for the inhibition of FAK protein were identified. We believe that identified scaffolds may help in drug development against FAK as an anticancer agent.

Plasmon-Induced Ultrafast Hot Hole Transfer in Nonstoichiometric CuxInyS/CdS Heteronanocrystals.

Plasmonic semiconductors are promising candidates for developing energy conversion devices due to their tunable band gap, cost-effectiveness, and nontoxicity. Such materials exhibit remarkable capabilities for harvesting infrared photons, which constitute half of the solar energy spectrum. Herein, we have synthesized near-infrared (NIR) active CuxInyS nanocrystals and CuxInyS/CdS heterostructure nanocrystals (HNCs) to investigate plasmon-induced charge transfer dynamics on an ultrafast time scale. Employing femtosecond transient absorption spectroscopy, we demonstrate that upon exciting the HNCs with sub-band gap NIR photons (λ = 840 nm), the hot holes are generated in the valence band of plasmonic CuxInyS and transferred to the adjacent semiconductor. The decreased signal intensity and accelerated hole phonon relaxation dynamics for HNCs reveal efficient transfer of plasmon-induced hot carriers from CuxInyS to CdS under both 840 and 350 nm laser excitations, providing a pathway for enhanced carrier utilization. These findings shed light on the potential of ternary chalcogenides in plasmonic applications, highlighting efficient hot carrier extraction to adjacent semiconductors.

Bioassay predictive values for chemical health risks in drinking water.

Bioanalytical tools can be used for assessment of the chemical quality of drinking water and its sources. For water managers it is important to know the probability that a bioassay response above an established health-based 'effect-based trigger value' (EBT) indeed implies a harmful chemical (mixture) concentration. This study presents and applies a framework, based on Bayes' theorem, to derive such risk probabilities for bioassay responses. These were evaluated under varying (in silico) chemical mixture concentrations relevant to drinking water (sources), with toxicity data for six in vitro assays from the ToxCast database. For single chemicals and in silico mixtures, the negative predictive value (NPV) was 100 % for all assays. For water managers, this means that when a bioassay response is below the EBT, a chemical risk is reliably absent, and no further action is required. The positive predictive value (PPV) increased with increasing chemical concentrations (2 µg/L) up to 40-80 %, depending on the assay. For in silico mixtures of increasing numbers of chemicals, the PPV did not increase until higher sum concentrations (>2-10 µg/L). Hence, the ability to accurately signal a harmful chemical (mixture) using bioassays will be lowest for highly diverse, low-concentration chemical mixtures. For water managers, this means in practice that further investigations after an EBT exceedance will, in many cases, not reveal chemicals at harmful concentrations. A solution offered is to increase the trigger value for positive responses to achieve a higher PPV and maintain the EBT for negative responses to ensure an optimal NPV.

Ecological and human health risk from exposure to metal contaminated sediments in a subtropical river affected by anthropogenic activities: A case study from river Yamuna.

Heavy metal enrichment in river sediments poses a significant risk to human and aquatic health. The Yamuna River faces severe challenges due to untreated industrial and domestic wastewater discharge. The study evaluates sediment metal content, ecological and human health risks, and potential sources. Results showed Cd and Pb exhibited moderate to severe contamination and displayed ecological risk based on contamination factor, enrichment factor, and potential ecological risk. According to synergistic indices (pollution load index, PINemerow, toxic risk index, contamination security index, mean probable effects level quotients, and probability of toxicity), the sediment in the Yamuna River doesn't seem to have a risk or enrichment from combined metals. Cd and Pb mainly originate from anthropogenic sources. Hazard index (< 1) and carcinogenic risk (2.2 × 10-7 to 4.7 × 10-5) assessments suggest metal didn't pose any risk to humans exposed to sediment. The present study aids in developing pollution control strategies for the Yamuna River.

Study of a PST-trained voice-enabled artificial intelligence counselor for adults with emotional distress (SPEAC-2): Design and methods.

BACKGROUND: Novel and scalable psychotherapies are urgently needed to address the depression and anxiety epidemic. Leveraging artificial intelligence (AI), a voice-based virtual coach named Lumen was developed to deliver problem solving treatment (PST). The first pilot trial showed promising changes in cognitive control measured by functional neuroimaging and improvements in depression and anxiety symptoms. METHODS: To further validate Lumen in a 3-arm randomized clinical trial, 200 participants with mild-to-moderate depression and/or anxiety will be randomly assigned in a 2:1:1 ratio to receive Lumen-coached PST, human-coached PST as active treatment comparison, or a waitlist control condition where participants can receive Lumen after the trial period. Participants will be assessed at baseline and 18 weeks. The primary aim is to confirm neural target engagement by testing whether compared with waitlist controls, Lumen participants will show significantly greater improvements from baseline to 18 weeks in the a priori neural target for cognitive control, right dorsal lateral prefrontal cortex engaged by the go/nogo task (primary superiority hypothesis). A secondary hypothesis will test whether compared with human-coached PST participants, Lumen participants will show equivalent improvements (i.e., noninferiority) in the same neural target from baseline to 18 weeks. The second aim is to examine (1) treatment effects on depression and anxiety symptoms, psychosocial functioning, and quality of life outcomes, and (2) relationships of neural target engagement to these patient-reported outcomes. CONCLUSIONS: This study offers potential to improve the reach and impact of psychotherapy, mitigating access, cost, and stigma barriers for people with depression and/or anxiety. CLINICALTRIALS: gov #: NCT05603923.

Navigating the Antiretroviral Therapy Switch Conundrum: Unveiling the Dilemma of Drug Resistance and Disease Progression in HIV/AIDS.

There is a need to establish consensus for harmonization in antiretroviral (ARV) therapy (ART) switch treatment strategy and address the dilemma that exists in terms of subpar immune response to therapy or an immunologic deterioration while on therapy. The purpose of this review is to identify the factors that contribute to ARV treatment failure, such as insufficient dosage, drug interactions, poor adherence, drug resistance, and poor medication absorption. It is crucial to adopt a more efficient strategy to address this challenging dilemma. After ARV treatment failure, the aim of therapy is virologic suppression, which targets plasma viral load below the limits of detection as assessed by very sensitive tests with lower limits of quantification of 20 to 75 RNA copies/ml. The therapeutic objectives when complete virologic suppression is not possible, should be to maintain or restore immunologic function, stop the progression of the clinical illness, and minimize the emergence of new drug resistance that could further restrict the options for ARV drugs. Treatment history and drug-resistance testing, including the findings of previous and ongoing resistance tests, should be considered while selecting ARV regimens. Hence, the treatment approach post-ARV failure can be personalized based on clinical, immunologic, virologic, or as a mix of the three domains on a case-to-case basis. The evaluation of projected ARV activity should be based on treatment history and previous resistance test findings.

Dietary Sources, Stabilization, Health Benefits, and Industrial Application of Anthocyanins-A Review.

Natural phytochemicals are well known to protect against numerous metabolic disorders. Anthocyanins are vacuolar pigments belonging to the parent class of flavonoids. They are well known for their potent antioxidant and gut microbiome-modulating properties, primarily responsible for minimizing the risk of cardiovascular diseases, diabetes, obesity, neurodegenerative diseases, cancer, and several other diseases associated with metabolic syndromes. Berries are the primary source of anthocyanin in the diet. The color and stability of anthocyanins are substantially influenced by external environmental conditions, constraining their applications in foods. Furthermore, the significantly low bioavailability of anthocyanins greatly diminishes the extent of the actual health benefits linked to these bioactive compounds. Multiple strategies have been successfully developed and utilized to enhance the stability and bioavailability of anthocyanins. This review provides a comprehensive view of the recent advancements in chemistry, biosynthesis, dietary sources, stabilization, bioavailability, industrial applications, and health benefits of anthocyanins. Finally, we summarize the prospects and challenges of applications of anthocyanin in foods.

Zamzam Water Mitigates Cardiac Toxicity Risk through Modulation of GUT Microbiota and the Renin-angiotensin System.

BACKGROUND: Cardiovascular diseases (CVDs) continue to exert a substantial global influence in specific areas due to population growth, aging, microbiota, and genetic/environmental factors. Drinking water has a strong impact on the health of an individual. Further, emerging evidence has highlighted the therapeutic potential and benefits of Zamzam water (Zam). OBJECTIVE: We investigated the influence of Zam on doxorubicin-induced cardiac toxicity, elucidating its consequential effects on GUT microbiota dysbiosis and hepatic and renal functions. METHODS: Male rats were categorized into four groups: Group 1 as Normal control (NC), Group 2 as Zamzam control (ZC), Group 3 Disease control (DC) and Group 4 as Therapeutic control (DZ) treated with Zam against doxorubicin-induced disease at a dose of 1mg/kg boy weight) intraperitoneally (i.p). RESULTS: Significant dysbiosis in the composition of GM was observed in the DC group along with a significant decrease (p < 0.05) in serum levels of Zinc, interleukin-10 (IL-10), IL-6 and Angiotensin II (Ang II), while C-reactive protein (CRP), fibrinogen, and CKMB increased significantly (restoration of Zinc ions (0.72 ± 0.07 mcg/mL) compared to NC. Treatment with Zamzam exhibited a marked abundance of 18-times to 72% in Romboutsia, a genus of firmicutes, along with lowering of Proteobacteria in DZ followed by significant restoration of Zinc ions (0.72 ± 0.07 mcg/mL), significant (p ˂ 0.05) reduction in CRP (7.22 ± 0.39 mg/dL), CKMB (118.8 ± 1.02 U/L) and Fibrinogen (3.18 ± 0.16 mg/dL), significant (p < 0.05) increase in IL-10 (7.22 ± 0.84 pg/mL) and IL-6 (7.18 ± 0.40 pg/ml), restoration of Ang II (18.62 ± 0.50 nmol/mL/min), marked increase in renin with normal myocyte architecture and tissue orientation of kidney, and restoration of histological architecture of hepatocyte. CONCLUSION: Zam treatment mitigated cardiac toxicity risk through the modulation of GUT microbiota and the renin-angiotensin system and tissue histology effectively.

Impact of Deltoid Computer Tomography Image Data on the Accuracy of Machine Learning Predictions of Clinical Outcomes after Anatomic and Reverse Total Shoulder Arthroplasty.

Background: Despite the importance of the deltoid to shoulder biomechanics, very few studies have quantified the three-dimensional shape, size, or quality of the deltoid muscle, and no studies have correlated these measurements to clinical outcomes after anatomic (aTSA) and/or reverse (rTSA) total shoulder arthroplasty in any statistically/scientifically relevant manner. Methods: Preoperative computer tomography (CT) images from 1057 patients (585 female, 469 male; 799 primary rTSA and 258 primary aTSA) of a single platform shoulder arthroplasty prosthesis (Equinoxe; Exactech, Inc., Gainesville, FL) were analyzed in this study. A machine learning (ML) framework was used to segment the deltoid muscle for 1057 patients and quantify 15 different muscle characteristics, including volumetric (size, shape, etc.) and intensity-based Hounsfield (HU) measurements. These deltoid measurements were correlated to postoperative clinical outcomes and utilized as inputs to train/test ML algorithms used to predict postoperative outcomes at multiple postoperative timepoints (1 year, 2-3 years, and 3-5 years) for aTSA and rTSA. Results: Numerous deltoid muscle measurements were demonstrated to significantly vary with age, gender, prosthesis type, and CT image kernel; notably, normalized deltoid volume and deltoid fatty infiltration were demonstrated to be relevant to preoperative and postoperative clinical outcomes after aTSA and rTSA. Incorporating deltoid image data into the ML models improved clinical outcome prediction accuracy relative to ML algorithms without image data, particularly for the prediction of abduction and forward elevation after aTSA and rTSA. Analyzing ML feature importance facilitated rank-ordering of the deltoid image measurements relevant to aTSA and rTSA clinical outcomes. Specifically, we identified that deltoid shape flatness, normalized deltoid volume, deltoid voxel skewness, and deltoid shape sphericity were the most predictive image-based features used to predict clinical outcomes after aTSA and rTSA. Many of these deltoid measurements were found to be more predictive of aTSA and rTSA postoperative outcomes than patient demographic data, comorbidity data, and diagnosis data. Conclusions: While future work is required to further refine the ML models, which include additional shoulder muscles, like the rotator cuff, our results show promise that the developed ML framework can be used to evolve traditional CT-based preoperative planning software into an evidence-based ML clinical decision support tool.

Computational Analysis of Lenalidomide and Pomalidomide Enantiomers' Binding Interactions With Prostaglandin (PG)-Protein: Implications for Inflammatory Activity in Cancer.

BACKGROUND: Lenalidomide and Pomalidomide are chiral immunomodulatory drugs (IMiDs) and have antiangiogenic and anti-immunomodulatory activity. Each enantiomer may have distinct binding and biological activity. This study aimed to explore the in-silico binding of both enantiomers of Lenalidomide and Pomalidomide with Prostaglandin and its potential impact on persisting inflammatory activity in cancer. This can further provide insight into the transport of pro-inflammatory mediators and their potential implications for the inflammatory microenvironment within tumors. MATERIALS AND METHODS: Molecular docking studies were performed to explore the binding potential of both enantiomers of Lenalidomide and Pomalidomide with Pg protein. The crystal structure of Pg-protein (PDB ID: 1IW7) was obtained from the Protein Data Bank. RESULTS: The binding energies for (-)-Lenalidomide and (+)-Lenalidomide were -6.7 and -7.2 kcal/mol, respectively, while the binding energies for (-)-Pomalidomide and (+)-Pomalidomide were -7.8 and -8.1 kcal/mol, respectively. The binding mode analysis revealed that all four compounds formed hydrogen bonds with key amino acid residues of Pg-protein. The hydrogen bond distances for (-)-Lenalidomide, (+)-Lenalidomide, (-)-Pomalidomide, and (+)-Pomalidomide were 2.1 Å, 2.0 Å, 2.2 Å, and 2.1 Å, respectively. CONCLUSIONS: The present study suggests that both enantiomers of Lenalidomide and Pomalidomide have a high affinity for Pg-protein and can effectively target the Pg-protein pathway to persist inflammatory activity in cancer. By targeting inflammation-mediated processes, these drugs may offer a novel strategy to combat tumor progression.

Study of risk factors for injuries due to cardiopulmonary resuscitation with special focus on the role of the heart: A machine learning analysis of a prospective registry with multiple sources of information (ReCaPTa Study).

Background: The study of thoracic injuries and biomechanics during CPR requires detailed studies that are very scarce. The role of the heart in CPR biomechanics has not been determined. This study aimed to determine the risk factors importance for serious ribcage damage due to CPR. Methods: Data were collected from a prospective registry of out-of-hospital cardiac arrest between April 2014 and April 2017. This study included consecutive out-of-hospital CPR attempts undergoing an autopsy study focused on CPR injuries. Cardiac mass ratio was defined as the ratio of real to expected heart mass. Pearson's correlation coefficient was used to select clinically relevant variables and subsequently classification tree models were built. The Gini index was used to determine the importance of the associated serious ribcage damage factors. The LUCAS® chest compressions device forces and the cardiac mass were analyzed by linear regression. Results: Two hundred CPR attempts were included (133 manual CPR and 67 mechanical CPR). The mean age of the sample was 60.4 ± 13.5, and 56 (28%) were women. In all, 65.0% of the patients presented serious ribcage damage. From the classification tree build with the clinically relevant variables, age (0.44), cardiac mass ratio (0.26), CPR time (0.22), and mechanical CPR (0.07), in that order, were the most influential factors on serious ribcage damage. The chest compression forces were greater in subjects with higher cardiac mass. Conclusions: The heart plays a key role in CPR biomechanics being cardiac mass ratio the second most important risk factor for CPR injuries.

Epigenetic Impact of Curcumin and Thymoquinone on Cancer Therapeutics.

Today, one of the most prevalent reasons for death among people is carcinoma. Because it is still on the increase throughout the world, there is a critical need for in- -depth research on the pathogenic mechanisms behind the disease as well as for efficient treatment. In the field of epigenetics, gene expression alterations that are inherited but not DNA sequence changes are investigated. Three key epigenetic changes, histone modifications, DNA methylation and non-coding RNA (ncRNA) expression, are principally responsible for the initiation and progression of different tumors. These changes are interconnected and constitute many epigenetic changes. A form of polyphenolic chemical obtained from plants called curcumin has great bioactivity against several diseases, specifically cancer. A naturally occurring substance called thymoquinone is well-known for its anticancer properties. Thymoquinone affects cancer cells through a variety of methods, according to preclinical studies. We retrieved information from popular databases, including PubMed, Google Scholar, and CNKI, to summarize current advancements in the efficiency of curcumin against cancer and its epigenetic regulation in terms of DNA methylation, histone modifications, and miRNA expression. The present investigation offers thorough insights into the molecular processes, based on epigenetic control, that underlie the clinical use of curcumin and thymoquinone in cancerous cells.

A Pilot Study on the Proteomics Profile of Serum Exosome-Enriched Extracellular Vesicles from Normal versus Individuals with Obesity-Related Insulin Resistance.

OBJECTIVE: Circulating exosome-enriched extracellular vesicles (EVs) have drawn considerable importance in obesity-related insulin-resistance (IR). We sought to compare the proteomics profile of serum exosomes from normal individuals and those with obesity and IR. METHODS: We isolated serum exosomes from male subjects with obesity and insulin resistance (Ob-IR, HOMA-IR > 2.0) and lean/overweight insulin-sensitive (Normal (N), HOMA-IR < 2.0) individuals. The differential protein expression between the two groups was detected by a label-free quantitative mass spectrometry analysis followed by GO annotation and ingenuity pathway analysis (IPA). RESULTS: We identified 23 upregulated and 46 downregulated proteins between Ob-IR and N groups. Some of these proteins are involved in altering insulin signaling (VPS13C, TBC1D32, TTR, and ADIPOQ), inflammation (NFκB and CRP), and B-cell proliferation/activation (IGLV4-69, IGKV1D-13, and IGHV4-28). GO analysis revealed that the differentially expressed proteins (DEPs) are mainly involved in regulating immune cell activation and are located in extracellular space. IPA analysis showed that top molecules mediating IR, inflammation and B-cell activation were upregulated in Ob-IR subjects compared to N subjects. CONCLUSIONS: Serum exosomal proteins can be used as biomarkers to identify the future risk of diabetes and a therapeutic target to prevent or slow down the progression of diabetes in high-risk individuals.