The protective effect of parthenolide in an in vitro model of Parkinson's disease through its regulation of nuclear factor-kappa B and oxidative stress.

BACKGROUND: Parkinson's disease (PD) is a neurodegenerative disorder characterized by motor and non-motor symptoms, and is due to the degeneration of dopaminergic neurons. It is multifactorial, caused by genetic and environmental factors and currently has no definitive cure. We have investigated the protective effects of parthenolide (PTN), a compound with known anti-inflammatory and antioxidant properties, in an in vitro model of PD, that is induced by 6-OHDA, and that causes neurotoxicity in SH-SY5Y human neuroblastoma cells. METHODS AND RESULTS: SH-SY5Y cells were pretreated with PTN to assess its protective effects in 6-OHDA-induced cellular damage. Cell viability was measured using Alamar blue. Apoptosis was evaluated using an Annexin V-FITC/PI kit. Reactive oxygen species (ROS) levels were quantified, and expression levels of apoptotic markers (Bax, Bcl-2, p53) and NF-κB were analyzed via Western blotting and Quantitative real-time- (qRT-) PCR. We found that 6-OHDA reduced cell viability, that was inhibited significantly by pre-treatment with PTN (p < 0.05). Flow cytometry revealed that PTN reduced apoptosis induced by 6-OHDA. PTN also reduced the ROS levels raised by 6-OHDA (p < 0.05). Moreover, PTN decreased the expression of Bax, p53, NF-κB, and p-NF-κB that were increased by treatment with 6-OHDA. CONCLUSION: These findings indicate the potential beneficial effects of PTN in an in vitro model of PD via mitigating oxidative stress and inflammation, suggested PTN as a promising agent to be used for PD therapy, warranting further investigation in preclinical and clinical studies.

The association of dietary indices for hyperinsulinemia and insulin resistance with the risk of metabolic syndrome: a population-based cross-sectional study.

We aimed to investigate the association between an empirical dietary index for hyperinsulinemia (EDIH), empirical dietary index for insulin resistance (EDIR), and MetS and its components in an adult Iranian population. In this cross-sectional study, a total of 6482 participants aged 35-65 years were recruited as part of the MASHAD cohort study. Dietary intakes were assessed using a validated food frequency questionnaire (FFQ). The International Diabetes Federation (IDF) criteria were used to define MetS. Multivariable logistic regression models were applied to determine the association between EDIH, EDIR, and MetS and its components. The mean age and BMI of participants were 48.44±8.20 years, and 27.98±4.73 kg/m2, respectively. Around 59% of the population was female. Of the total population, 35.4% had MetS. According to the full-adjusted model, there was no significant association between higher quartiles of EDIH and EDIR and odds of MetS (Q4 EDIH; OR (95%CI):0.93 (0.74-1.18), Q4 EDIR; OR (95%CI):1.14 (0.92-1.40). Regarding MetS components, EDIR was associated with increased odds of hypertension and diabetes (Q4 EDIR; OR (95%CI):1.22 (1.04-1.44) and 1.22 (1.01-1.47), respectively). EDIH was also associated with decreased odds of hypertriglyceridemia (Q4 EDIH; OR (95%CI): 0.72 (0.60-0.87)). This study showed no significant association between hyperinsulinemia and insulin resistance potential of diet and odds of MetS among Iranian adults. However, EDIR was significantly associated with increased odds of hypertension and diabetes as MetS components.

Association of symptomatic upper respiratory tract infections with the alteration of the oropharyngeal microbiome in a cohort of school children in Côte d'Ivoire.

Introduction: The oropharyngeal microbiome plays an important role in protection against infectious agents when in balance. Despite use of vaccines and antibiotic therapy to prevent respiratory tract infections, they remain one of the major causes of mortality and morbidity in Low- and middle-income countries. Hence the need to explore other approaches to prevention by identifying microbial biomarkers that could be leveraged to modify the microbiota in order to enhance protection against pathogenic bacteria. The aim of this study was to analyze the oropharyngeal microbiome (OPM) of schoolchildren in Côte d'Ivoire presenting symptoms of upper respiratory tract infections (URTI) for better prevention strategy. Methods: Primary schools' children in Korhogo (n = 37) and Abidjan (n = 39) were followed for six months with monthly oropharyngeal sampling. Clinical diagnostic of URT infection was performed and nucleic acid extracted from oropharyngeal swabs were used for 16S rRNA metagenomic analysis and RT-PCR. Results: The clinical examination of children's throat in Abidjan and Korhogo identified respectively 17 (43.59%) and 15 (40.54%) participants with visible symptoms of URTIs, with 26 episodes of infection in Abidjan and 24 in Korhogo. Carriage of Haemophilus influenzae (12%), Streptococcus pneumoniae (6%) and SARS-CoV-2 (6%) was confirmed by PCR. A significant difference in alpha diversity was found between children colonized by S. pneumoniae and those that were not (p = 0.022). There was also a significant difference in alpha diversity between children colonised with H. influenzae and those who were not (p = 0.017). No significant difference was found for SARS-CoV-2. Sphingomonas, Ralstonia and Rothia were significantly enriched in non-carriers of S. pneumoniae; Actinobacillus was significantly enriched in non-carriers of H. influenzae; Actinobacillus and Porphyromonas were significantly enriched in non-carriers of SARS-CoV-2 (p < 0.001). Discussion: Nearly 40% of children showed clinical symptoms of infection not related to geographical location. The OPM showed an imbalance during H. influenzae and S. pneumoniae carriage. This study provides a baseline understanding of microbiome markers in URTIs in children for future research, to develop targeted interventions aimed at restoring the microbial balance and reducing the symptoms associated with RTIs.

The Role of Epigenetic Mechanisms in the Treatment of GI Cancers.

Epigenetic mechanisms have been shown to play a critical role in the development and progression of gastrointestinal [GI] cancers. These mechanisms involve modifications to DNA and histones that can alter gene expression patterns and may contribute to the initiation and progression of cancers. In recent years, epigenetic therapies have emerged as a promising approach to treating GI cancers. These therapies target specific epigenetic modifications, such as DNA methylation and histone acetylation, to restore normal gene expression patterns and inhibit cancer cell growth. Several epigenetic drugs have been approved for the treatment of GI cancers. Moreover, the use of epigenetic therapies in combination with other treatments, such as chemotherapeutic agents, is being studied to improve treatment outcomes. We have provided an overview of the role of epigenetic mechanisms in GI cancer treatment aimed to focus on recent evidence of the use of epigenetic agents in clinical and preclinical GI cancer studies, including gastric, esophageal, hepatic, pancreatic, and colorectal cancers. Overall, the role of epigenetic mechanisms in GI cancer treatments is an active area of research with the potential to improve patients' treatment outcomes and advance cancer treatment strategies.

Dual career in sport and non-sport work: Exploring experiences of North American professional female ice hockey players.

Grounded in role strain theory, this study explored the dual career experiences of North American female ice hockey players who were also involved in full-time non-sporting work, focusing on factors that produced and reduced their role strain. We interviewed ten professional ice hockey players who held full-time non-sport jobs at the time of their interview. Our reflexive thematic analysis revealed that the multitude of factors leading to role strain among professional female working-athletes were notably significant, spanning societal expectations and environmental complexities. The imposition of the superwoman persona, demanding excellence in both hockey and work roles, combined with inconsistent expectations from professional and athletic supervisors intensified stress and undermined well-being. The study's findings emphasize the need for robust support systems and adaptive strategies, such as effective communication, careful planning, and proactive self-care, which can mitigate these pressures. Furthermore, the athletes' narratives revealed a pressing call for empathy and flexibility from coaches, employers, and the broader sports community, suggesting that improvements in these areas could enhance the professional and personal experiences of these working-athletes. The findings provide valuable insights into the challenges faced by dual career female athletes, as well as current strategies aimed at supporting and enhancing their experiences. Furthermore, these results deepen our understanding of how professional female athletes in North America can achieve greater well-being by addressing the factors that produce and reduce role strain factors.

Experimental Evaluation of Higher Order Stability Zones Using a Digitally Operated Quadrupole Mass Filter.

Recent improvements to the comparison-based method of digital waveform generation increased the reproducibility of the waveforms so that the higher-order Mathieu stability zones can be accessed reliably. Digitally driven quadrupole mass filters access these zones using a fixed AC voltage and rectangular waveforms that are defined by a duty cycle. In this context, the duty cycle is the fraction of the waveform period where the waveform remains in the high state. Because digitally driven quadrupoles navigate stability using a duty cycle, there is no need to apply a resolving DC offset between electrode pairs. Accessing the higher stability zones using a conventional resonantly tuned RF requires the use of thousands of AC and DC voltages making the mode of operation less accessible with these devices. Stability zones higher than (1,1) and (2,1) have theoretical resolving powers that are on the order 1,140 and 3,447 at fwhm which drives efforts to practically access these operational conditions. Accessing these zones digitally requires the use of extremely precise waveforms. In a previous effort, waveform generation produced waveforms to reliably access the (1,1) and (2,1) zones without impacting performance. However, recent work found more improvement was needed to reliably access neighboring higher stability zones. Derived from that work, it was determined that a waveform resolution of ∼10 ppm or less was needed to reliably access the (3,1) and (3,2) zones. The present work utilized digital waveforms that achieve this level of precision to experimentally access and characterize attributes of the (3,1) and (3,2) zones. This work dives into the investigation of different beam energies to overcome the destabilizing fringing fields, improve transmission, and their overall effect on the experimental resolving power and signal-to-noise. In addition, the AC voltage of the driving RF was varied to understand the effects on the initial ion beam energy that is needed to achieve balanced separation and how the overall signal-to-noise is affected. Lastly, an assessment was made on the effects of the temporal parameters of a digital mass scan on peak sensitivity, peak fidelity, and overall duration for a scan.

Multiplex Imaging for Cell Phenotyping of Early Human Atherosclerosis.

BACKGROUND: Previous studies using animal models and cultured cells suggest that vascular smooth muscle cells (SMCs) and inflammatory cytokines are important players in atherogenesis. Validating these findings in human disease is critical to designing therapeutics that target these components. Multiplex imaging is a powerful tool for characterizing cell phenotypes and microenvironments using biobanked human tissue sections. However, this technology has not been applied to human atherosclerotic lesions and needs to first be customized and validated. METHODS AND RESULTS: For validation, we created an 8-plex imaging panel to distinguish foam cells from SMC and leukocyte origins on tissue sections of early human atherosclerotic lesions (n=9). The spatial distribution and characteristics of these foam cells were further analyzed to test the association between SMC phenotypes and inflammation. Consistent with previous reports using human lesions, multiplex imaging showed that foam cells of SMC origin outnumbered those of leukocyte origin and were enriched in the deep intima, where the lipids accumulate in early atherogenesis. This new technology also found that apoptosis or the expression of pro-inflammatory cytokines were not more associated with foam cells than with nonfoam cells in early human lesions. More CD68+ SMCs were present among SMCs that highly expressed interleukin-1ß. Highly inflamed SMCs showed a trend of increased apoptosis, whereas leukocytes expressing similar levels of cytokines were enriched in regions of extracellular matrix remodeling. CONCLUSIONS: The multiplex imaging method can be applied to biobanked human tissue sections to enable proof-of-concept studies and validate theories based on animal models and cultured cells.

Curcuminoid-Piperine Combination Improves Radical Scavenging Activity in Women with Premenstrual Syndrome and Dysmenorrhea: A Post-hoc Analysis of a Randomized Clinical Study.

Oxidative stress maybe involved in the patho-etiology of menstrual-associated complications. Curcuminoids, are polyphenolic natural compounds that have potentially important functional activities. This triple-blind, randomized, placebo-controlled trial was performed to investigate the effects of a curcuminoids on oxidative stress and antioxidant capacity in girls with premenstrual syndrome (PMS) and dysmenorrhea. Eighty young girls with both PMS and dysmenorrhea were randomly given either curcuminoids (500 mg+5 mg piperine) or a placebo daily, for a period from 7 days pre- until 3 days post- initiation of menstrual bleeding for 3 successive menstrual cycles. The total antioxidant capacity and free radical scavenging activity of serum and urine were quantified via ferric reducing/antioxidant power (FRAP) and 1,1-diphenyl-2-picrylhydrazyl (DPPH) methods, respectively. There were no significant differences between the placebo and curcumin groups, with respect to the age, dietary intake and biochemical/anthropometric indices (p>0.05). The curcumin treatment significantly increased the free-radical scavenging activity of serum compared to the treatment with placebo (p=0.031). Although, no significant changes were found in serum and urinary levels of FRAP, DPPH and MDA between the groups (p>0.05). Curcumin treatment did increase free-radical scavenging activity and antioxidant potential in girls with PMS and dysmenorrhea. Investigations with higher doses and duration of curcumin are required to verify our findings.

The therapeutic potential of angiotensin-converting enzyme inhibitor enalapril to ameliorate muscle atrophy in a murine model.

Muscle atrophy due to limb immobilization and inactivity is a common consequence of many diseases and treatment processes. One of the systems activated in inflammatory conditions is the renin-angiotensin system (RAS). The present study was conducted with the aim of investigating the effects of one of the angiotensin-converting enzyme (ACE) inhibitors, enalapril, on improving muscle atrophy caused by immobility. The study was conducted in three groups: a control, an atrophy, and an atrophy group treated with enalapril on Balb/c mice. After tying a splint to cause atrophy in one of the legs, daily treatment with enalapril intraperitoneally (dissolved in DMSO) at a dose of 10 mg/kg/day was done for 7 days. On the eighth day, the splint was opened and half of the mice were evaluated. Then, in the recovery phase, treatment with enalapril was continued in the remaining mice for 10 days without a splint. At the end of each phase, the mice were examined for the muscle strength of the lower limb muscles, and histological and biochemical analyses were subsequently carried out. The tissue level of the oxidative stress index MDA was evaluated, which showed a significantly lower level in the enalapril group compared to the atrophy group (*P<0.1). Also, inflammatory factors in the enalapril group showed a decrease compared to the atrophy group. The strength of four limbs in the mice of the treatment group (-18.36 ± 1.70 %) was significantly higher than that of the atrophy group (-30.33 ± 3 %) at the end of the atrophy phase and also after 10 days of recovery. The results suggest that the use of enalapril that reduces the activation of angiotensin II-dependent pro-oxidant and pro-inflammatory pathways may improve the functional disorder and muscle necrosis in the murine model of muscle atrophy.

The impacts of dipeptidyl- peptidase 4 (DPP-4) inhibitors on common female malignancies: A systematic review.

The inhibition of dipeptidyl- peptidase 4 (DPP-4) is an essential therapy for controlling hyperglycemia in patients with type 2 diabetes (T2DM). However, the role of DPP-4 in cancer is not yet clear, with some studies suggesting that it may either promote or suppress tumors. This makes it crucial to have personalized treatment for diabetic women with cancer to effectively manage their diabetes whilst and preventing cancer mortality. To address this issue, we conducted an integrative in-silico analysis and systematic review of the literature to comprehensively examine the relationship between DPP-4 expression and the effects of its inhibitors on prevalent female malignancies. We specifically chose studies that examined the effects of DPP-4 expression and DPP-4 inhibition (DPP-4i) on prevalent cancers in women, such as breast cancer (BC), ovarian cancer (OV), cervical cancer (CC), and endometrial cancer (EC). These studies comprised those conducted both in vivo and in vitro. The review of the literature indicated that DPP-4i may worsen aggressive traits such as metastasis, Epithelial-to-mesenchymal transition (EMT), and chemotherapy resistance in BC cells. However, cohort studies on diabetic and BC patients did not confirm these findings. In vitro studies indicate that on OV, DPP-4 upregulation has been shown to prevent metastasis, while CCappears to be influenced by DPP-4 expression in terms of cell migration. sitagliptin, a pharmaceutical inhibitor of DPP-4, had a significant impact on reducing adhesion in CC cells in vitro. Overexpression of DPP-4 increased cell migration and proliferation in CC and EC cells, and hence the application of sitagliptin is expected to prevent this effect. On the other hand, the result of in-silico data confirmed that a significant correlation exists between DPP-4 expression and immune cell infiltration in breast, ovarian, cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) as well as downregulated in these cancers compared to their normal tissue samples. Furthermore, a significant (p < 0.05) effect on OS of BC and CESC patients has been reported due to the elevation of DPP-4 methylation on a specific CPG Island. These findings could aid in creating specialized treatments for diabetic women with specific malignancies, but caution should be exercised when considering the patient's medical history and cancer type.

Development and utility of a SARS-CoV-2 pseudovirus assay for compound screening and antibody neutralization assays.

Background: The highly infectious nature of SARS-CoV-2 necessitates using bio-containment facilities to study viral pathogenesis and identify potent antivirals. However, the lack of high-level bio-containment laboratories across the world has limited research efforts into SARS-CoV-2 pathogenesis and the discovery of drug candidates. Previous research has reported that non-replicating SARS-CoV-2 Spike-pseudotyped viral particles are effective tools to screen for and identify entry inhibitors and neutralizing antibodies. Methods: To generate SARS-CoV-2 pseudovirus, a lentiviral packaging plasmid p8.91, a luciferase expression plasmid pCSFLW, and SARS-CoV-2 Spike expression plasmids (Wild-type (D614G) or Delta strain) were co-transfected into HEK293 cells to produce a luciferase-expressing non-replicating pseudovirus which expresses SARS-CoV-2 spike protein on the surface. For relative quantitation, HEK293 cells expressing ACE2 (ACE2-HEK293) were infected with the pseudovirus, after which luciferase activity in the cells was measured as a relative luminescence unit. The ACE2-HEK293/Pseudovirus infection system was used to assess the antiviral effects of some compounds and plasma from COVID-19 patients to demonstrate the utility of this assay for drug discovery and neutralizing antibody screening. Results: We successfully produced lentiviral-based SARS-CoV2 pseudoviruses and ACE2-expressing HEK293 cells. The system was used to screen compounds for SARS-CoV-2 entry inhibitors and identified two compounds with potent activity against SARS-CoV-2 pseudovirus entry into cells. The assay was also employed to screen patient plasma for neutralizing antibodies against SARS-CoV-2, as a precursor to live virus screening, using successful hits. Significance: This assay is scalable and can perform medium-to high-throughput screening of antiviral compounds with neither severe biohazard risks nor the need for higher-level containment facilities. Now fully deployed in our resource-limited laboratory, this system can be applied to other highly infectious viruses by swapping out the envelope proteins in the plasmids used in pseudovirus production.

Hematological Indices and Genetic Variants of Premature Ovarian Insufficiency: Machine Learning Approaches.

BACKGROUND: Premature Ovarian Insufficiency (POI) is associated with infertility. Little is known about the potential circulating biomarkers that could be used to predict POI. We have investigated the possible association between white and red blood cells, platelet indices, and eight established single nucleotide polymorphisms (SNPs) associated with POI risk. METHOD: 117 women with premature menopause (PM) and 183 healthy women without a history of menopause before age 40 were recruited for this study. The tetra-primer amplification refractory mutation system-polymerase chain reaction (Tetra ARMS PCR) and allele-specific oligonucleotides-polymerase chain reaction (ASO-PCR) were carried out for genotyping for eight SNPs reported to be associated with POI. Decision tree analysis was applied to test the diagnostic value of hematological parameters to identify the risk of POI. RESULTS: Women with POI had lower neutrophil (NEUT) and white blood cell (WBC), whereas red blood cell (RBC), hemoglobin (HGB), hematocrit (HCT), mean corpuscular volume (MCV), and mean cell hemoglobin (MCH) were higher. Platelet (PLT) count was also lower in affected women. Our data also indicated that HGB and HCT count were significantly associated with rs16991615 and rs244715. Mean Platelet volume (MPV) and platelet distribution width (PDW) were associated with rs244715, rs1046089, rs4806660, and rs2303369. The rs16991615 was also associated with RBC count, and rs451417 was associated with NEUTs. The decision tree (DT) model reveals that women with the NEUT count at a cut-off value of less than 2.8 and HCT equal to or more than 38.7% could be identified as high-risk cases for POI. Overall, we found the DT approach had a sensitivity = 85%, specificity = 72%, and accuracy = 74%. CONCLUSION: The genetic variants involved in POI are associated with changes in reproductive hormone levels and with changes in hematological indices.

The Therapeutic Potential of Targeting the Connexin43 as a New Approach to Reducing Post-Surgical Adhesion.

Post-surgical peritoneal adhesions are a serious problem causing complications, such as bowel obstruction, infertility, and pain. There are currently no effective ways of preventing post-surgical adhesions. Excess secretion of proinflammatory cytokines and profibrotic molecules by immune cells and adherent fibroblasts is the main mechanism thatpromotes post-operative fibrotic scars. Although many studies have been conducted on the pathological causes of this disorder, there are still many unknown facts in this matter, so assessment of the role of different molecules in causing inflammation and adhesion can lead to the creation of new treatment methods. Connexins are a group of proteins related to gap junctions that have a role in cell communication and transmitted signaling between adjacent cells. Between different types of connexin protein isoforms, connexin43 is known to be involved in pathological conditions related to inflammation and fibrosis. Recent studies have reported that inhibition of connexin43 has the potential to reduce inflammation and fibrosis by reducing the expression of molecules like α-SMA and plasminogen activator inhibitor (PAI) that are involved in the early stages of adhesion formation. Further, inhibition of connexin43 may have therapeutic potential as a target to prevent post-surgical peritoneal adhesions.

Prediction of the 10-year incidence of type 2 diabetes mellitus based on advanced anthropometric indices using machine learning methods in the Iranian population.

BACKGROUND: Type 2 diabetes mellitus (T2DM) is a growing chronic disease that can lead to disability and early death. This study aimed to establish a predictive model for the 10-year incidence of T2DM based on novel anthropometric indices. METHODS: This was a prospective cohort study comparing people with (n = 1256) and without (n = 5193) diabetes mellitus in phase II of the Mashhad Stroke and Heart Atherosclerotic Disorder (MASHAD) study. The association of several anthropometric indices in phase I, including Body Mass Index (BMI), Body Adiposity Index (BAI), Abdominal Volume Index (AVI), Visceral Adiposity Index (VAI), Weight-Adjusted-Waist Index (WWI), Body Roundness Index (BRI), Body Surface Area (BSA), Conicity Index (C-Index) and Lipid Accumulation Product (LAP) with T2DM incidence (in phase II) were examined; using Logistic Regression (LR) and Decision Tree (DT) analysis. RESULTS: BMI followed by VAI and LAP were the best predictors of T2DM incidence. Participants with BMI < 21.25 kg/m2 and VAI ≤ 5.9 had a lower chance of diabetes than those with higher BMI and VAI levels (0.033 vs. 0.967 incident rate). For BMI > 25 kg/m2, the chance of diabetes rapidly increased (OR = 2.27). CONCLUSIONS: BMI, VAI, and LAP were the best predictors of T2DM incidence.

Lysyl Oxidase-like 2 Dysregulation Increases the Risk of Post-Operative Fibrotic Scars Formation in the Female Reproductive Tract: A Novel Therapeutic Target to Reduce Fibrogenesis.

The formation of fibrotic bands in female reproductive system, including the uterus, after abdominal and pelvic surgeries, is an important medical challenge associated with many complications, including infertility and pain. Investigating the role of different molecules involved in fibrosis and adhesion formation may help in the development of new drugs to prevent this disorder. Lysyl oxidase-like 2 (LoxL2) is a copper-dependent enzyme that catalyzes the cross-linking of collagen and elastin fibers in the extracellular matrix (ECM) to stabilize ECM. Dysregulation of LoxL2 activity resulting from tissue hypoxia and inflammation after gynecological surgeries in the female reproductive tract increases collagen fibers cross-linking and promotes fibrosis. It has been shown that targeting LoxL2 by Lox inhibitors may reduce fibrosis. Considering the expression of LoxL2 in female reproductive organs and its dysregulation in hypoxia and inflammation, it is possible that LoxL2 has therapeutic potential as a drug target in the prevention of adhesions. In this review, we discuss the role of LoxL2 in the promotion of fibrotic processes focusing on its link with inflammatory and hypoxic conditions. We also justify the use of anti- LoxL2 agents as a potential therapeutic strategy for the prevention of post-surgical scar formation.

Medicinal Chemistry of Antisense Oligonucleotides for Therapeutic Use in SARS-CoV-2: Design Strategies and Challenges for Targeted Delivery.

BACKGROUND: The evolution of novel Severe Acute Respiratory Syndrome-related Coronavirus 2 (SARS-CoV-2) strains with greater degrees of infectivity, resistance to vaccine-induced acquired immunity, and more severe morbidity have contributed to the recent spread of COVID-19. In light of this, novel therapeutic alternatives with improved effectiveness and fewer side effects have become a necessity. Despite many new or repurposed antiviral agents recommended for Coronavirus disease (COVID-19) therapy, this objective remains unfulfilled. Under these circumstances, the scientific community holds the significant responsibility to develop classes of novel therapeutic modalities to combat SARS-CoV-2 with the least harmful side effects. OBJECTIVE: Antisense Oligonucleotides (ASOs) are short single-stranded oligonucleotides that allow the specific targeting of RNA, leading to its degradation. They may also prevent cellular factors or machinery from binding to the target RNA. It is possible to improve the pharmacokinetics and pharmacodynamics of ASOs by chemical modification or bioconjugation, which may provide conditions for customization of a particular clinical target. This study aimed to outline the potential use of ASOs in the treatment of COVID-19 disease, along with the use of antisense stabilization and transfer methods, as well as future challenges and limitations. METHODS: We have reviewed the structure and properties of ASOs containing nucleobase, sugar, or backbone modifications, and provided an overview of the therapeutic potential, delivery challenges, and strategies of ASOs in the treatment of COVID-19. RESULTS: The first-line therapy for COVID-19-infected individuals, as well as the development of oligonucleotide-based drugs, warrants further investigation. Chemical changes in the oligonucleotide structure can affect the biological processes. These chemical alterations may lead to enhanced potency, while changing the pharmacokinetics and pharmacodynamics. CONCLUSION: ASOs can be designed to target both coding and non-coding regions of the viral genome to disrupt or completely degrade the genomic RNA and thereby eliminate SARS-CoV-2. They may be very effective in areas, where vaccine distribution is challenging, and they may be helpful for future coronavirus pandemics.

Anxiety, a significant risk factor for coronary artery disease: what is the best index.

BACKGROUND: Coronary artery disease (CAD) is known as the leading cause of disability and death globally. Anxiety disorders are also recognized as common types of mental disorders that substantially impact global health. Iran ranks among the countries with a high incidence of CAD and anxiety disorders. Therefore, the present study aims to determine the potential association and epidemiological aspects of anxiety and CAD within the population of Mashhad, the second most popoulos city in Iran. METHODS: The present study is based on extracted data from the Mashhad stroke and heart atherosclerotic disorder (MASHAD) study which is a 10-year prospective cohort study intended to assess the effects of various CAD risk factors among Mashhad city residents. Anxiety scores were assessed at the baseline using Beck Anxiety Inventory and individuals were classified based on the BAI 4-factor structure model which included autonomic, cognitive, panic, and neuromotor components. Accordingly, the association between baseline anxiety scores and the BAI four-factor model with the risk of CAD events was analyzed using SPSS software version 21. RESULTS: Based on the results, 60.4% of the sample were female, and 5.6% were classified as having severe forms of anxiety. Moreover, severe anxiety was more prevalent in females. Results showed a 1.7% risk of CAD (p-value < 0.001) over 10 years with one unit increase in anxiety score. Based on the 4-factor model structure, we found that only panic disorder could significantly increase the risk of CAD by 1.1% over the 10-year follow-up (p-value < 0.001). CONCLUSION: Anxiety symptoms, particularly panic disorder, are independently and significantly associated with an increased overall risk of developing CAD over a 10-year period. Therefore, further studies are warranted to investigate the mechanisms through which anxiety may cause CAD, as well as possible interventions to mitigate these processes.

Affinity gaps among B cells in germinal centers drive the selection of MPER precursors.

Current prophylactic human immunodeficiency virus 1 (HIV-1) vaccine research aims to elicit broadly neutralizing antibodies (bnAbs). Membrane-proximal external region (MPER)-targeting bnAbs, such as 10E8, provide exceptionally broad neutralization, but some are autoreactive. Here, we generated humanized B cell antigen receptor knock-in mouse models to test whether a series of germline-targeting immunogens could drive MPER-specific precursors toward bnAbs. We found that recruitment of 10E8 precursors to germinal centers (GCs) required a minimum affinity for germline-targeting immunogens, but the GC residency of MPER precursors was brief due to displacement by higher-affinity endogenous B cell competitors. Higher-affinity germline-targeting immunogens extended the GC residency of MPER precursors, but robust long-term GC residency and maturation were only observed for MPER-HuGL18, an MPER precursor clonotype able to close the affinity gap with endogenous B cell competitors in the GC. Thus, germline-targeting immunogens could induce MPER-targeting antibodies, and B cell residency in the GC may be regulated by a precursor-competitor affinity gap.

The associations between plant-based dietary indices with depression and quality of life and insomnia among Iranian adolescent girls in 2015.

Although previous research has explored the link between plant-based diets and mental health outcomes, there has been limited study on the quality levels of plant foods in this context. This study was conducted on 733 adolescent girls from cities in northeastern Iran. The validated Iranian version of the Insomnia Severity Index, SF-12v2 questionnaire and Persian version of the Beck Depression Inventory used to assess insomnia and poor quality of life (QoL) and depression, respectively. Dietary intakes assessed using a valid and reliable food frequency questionnaire. The association of scores of plant based dietary index (PDI) and poor QoL, depression and insomnia explored by binary logistic regression. The unadjusted model showed subjects in the highest quartile of healthy PDI had lower chances of insomnia than those in the lowest quartile (OR: 0.50; 95% CI 0.27-0.91, P = 0.024). The association persisted across various adjusted models. Subjects in the highest quartile of unhealthy PDI (uPDI) had higher chances of depression than those in the lowest quartile (OR: 1.83; 95% CI 1.09-3.08, P = 0.022). The significance of the association was maintained after adjusting for other confounders. A healthy plant-based dietary index is associated with a lower odds of insomnia. An unhealthy plant-based dietary index was associated to an increased chance of depression. Findings need to be confirmed by future studies.

Addressing pandemic-wide systematic errors in the SARS-CoV-2 phylogeny.

The SARS-CoV-2 genome occupies a unique place in infection biology - it is the most highly sequenced genome on earth (making up over 20% of public sequencing datasets) with fine scale information on sampling date and geography, and has been subject to unprecedented intense analysis. As a result, these phylogenetic data are an incredibly valuable resource for science and public health. However, the vast majority of the data was sequenced by tiling amplicons across the full genome, with amplicon schemes that changed over the pandemic as mutations in the viral genome interacted with primer binding sites. In combination with the disparate set of genome assembly workflows and lack of consistent quality control (QC) processes, the current genomes have many systematic errors that have evolved with the virus and amplicon schemes. These errors have significant impacts on the phylogeny, and therefore over the last few years, many thousands of hours of researchers time has been spent in "eyeballing" trees, looking for artefacts, and then patching the tree. Given the huge value of this dataset, we therefore set out to reprocess the complete set of public raw sequence data in a rigorous amplicon-aware manner, and build a cleaner phylogeny. Here we provide a global tree of 3,960,704 samples, built from a consistently assembled set of high quality consensus sequences from all available public data as of March 2023, viewable at https://viridian.taxonium.org. Each genome was constructed using a novel assembly tool called Viridian (https://github.com/iqbal-lab-org/viridian), developed specifically to process amplicon sequence data, eliminating artefactual errors and mask the genome at low quality positions. We provide simulation and empirical validation of the methodology, and quantify the improvement in the phylogeny. Phase 2 of our project will address the fact that the data in the public archives is heavily geographically biased towards the Global North. We therefore have contributed new raw data to ENA/SRA from many countries including Ghana, Thailand, Laos, Sri Lanka, India, Argentina and Singapore. We will incorporate these, along with all public raw data submitted between March 2023 and the current day, into an updated set of assemblies, and phylogeny. We hope the tree, consensus sequences and Viridian will be a valuable resource for researchers.