Drug repurposing: A multi targetted approach to treat cardiac disease from existing classical drugs to modern drug discovery.

Cardiovascular diseases (CVDs) are characterized by abnormalities in the heart, blood vessels, and blood flow. CVDs comprise a diverse set of health issues. There are several types of CVDs like stroke, endothelial dysfunction, thrombosis, atherosclerosis, plaque instability and heart failure. Identification of a new drug for heart disease takes longer duration and its safety efficacy test takes even longer duration of research and approval. This chapter explores drug repurposing, nano-therapy, and plant-based treatments for managing CVDs from existing drugs which saves time and safety issues with testing new drugs. Existing drugs like statins, ACE inhibitor, warfarin, beta blockers, aspirin and metformin have been found to be useful in treating cardiac disease. For better drug delivery, nano therapy is opening new avenues for cardiac research by targeting interleukin (IL), TNF and other proteins by proteome interactome analysis. Nanoparticles enable precise delivery to atherosclerotic plaques, inflammation areas, and damaged cardiac tissues. Advancements in nano therapeutic agents, such as drug-eluting stents and drug-loaded nanoparticles are transforming CVDs management. Plant-based treatments, containing phytochemicals from Botanical sources, have potential cardiovascular benefits. These phytochemicals can mitigate risk factors associated with CVDs. The integration of these strategies opens new avenues for personalized, effective, and minimally invasive cardiovascular care. Altogether, traditional drugs, phytochemicals along with nanoparticles can revolutionize the future cardiac health care by identifying their signaling pathway, mechanism and interactome analysis.

A Comparison of Palliative Care Delivery between Ethnically Chinese and Non-Chinese Canadians in the Last Year of Life.

BACKGROUND: Ethnically Chinese adults in Canada and the United States face multiple barriers in accessing equitable, culturally respectful care at the end-of-life. Palliative care (PC) is committed to supporting patients and families in achieving goal-concordant, high-quality serious illness care. Yet, current PC delivery may be culturally misaligned. Therefore, understanding ethnically Chinese patients' use of palliative care may uncover modifiable factors to sustained inequities at the end-of-life. OBJECTIVE: To compare the use and delivery of PC in the last year of life between ethnically Chinese and non-Chinese adults. DESIGN: Population-based cohort study. PARTICIPANTS: All Ontario adults who died between January 1st, 2012, and October 31st, 2022, in Ontario, Canada. EXPOSURES: Chinese ethnicity. MAIN MEASURES: Elements of physician-delivered PC, including model of care (generalist; specialist; mixed), timing and location of initiation, and type of palliative care physician at initial consultation. KEY RESULTS: The final study cohort included 527,700 non-Chinese (50.8% female, 77.9 ± 13.0 mean age, 13.0% rural residence) and 13,587 ethnically Chinese (50.8% female, 79.2 ± 13.6 mean age, 0.6% rural residence) adults. Chinese ethnicity was associated with higher likelihoods of using specialist (adjusted odds ratio [aOR] 1.53, 95%CI 1.46-1.60) and mixed (aOR 1.32, 95%CI 1.26-1.38) over generalist models of PC, compared to non-Chinese patients. Chinese ethnicity was also associated with a higher likelihood of PC initiation in the last 30 days of life (aOR 1.07, 95%CI 1.03-1.11), in the hospital setting (aOR 1.24, 95%CI 1.18-1.30), and by specialist PC physicians (aOR 1.33, 95%CI 1.28-1.38). CONCLUSIONS: Chinese ethnicity was associated with a higher likelihood of mixed and specialist models of PC delivery in the last year of life compared to adults who were non-Chinese. These observed differences may be due to later initiation of PC in hospital settings, and potential differences in unmeasured needs that suggest opportunities to initiate early, community-based PC to support ethnically Chinese patients with serious illness.

Synergizing drug repurposing and target identification for neurodegenerative diseases.

Despite dedicated research efforts, the absence of disease-curing remedies for neurodegenerative diseases (NDDs) continues to jeopardize human society and stands as a challenge. Drug repurposing is an attempt to find new functionality of existing drugs and take it as an opportunity to discourse the clinically unmet need to treat neurodegeneration. However, despite applying this approach to rediscover a drug, it can also be used to identify the target on which a drug could work. The primary objective of target identification is to unravel all the possibilities of detecting a new drug or repurposing an existing drug. Lately, scientists and researchers have been focusing on specific genes, a particular site in DNA, a protein, or a molecule that might be involved in the pathogenesis of the disease. However, the new era discusses directing the signaling mechanism involved in the disease progression, where receptors, ion channels, enzymes, and other carrier molecules play a huge role. This review aims to highlight how target identification can expedite the whole process of drug repurposing. Here, we first spot various target-identification methods and drug-repositioning studies, including drug-target and structure-based identification studies. Moreover, we emphasize various drug repurposing approaches in NDDs, namely, experimental-based, mechanism-based, and in silico approaches. Later, we draw attention to validation techniques and stress on drugs that are currently undergoing clinical trials in NDDs. Lastly, we underscore the future perspective of synergizing drug repurposing and target identification in NDDs and present an unresolved question to address the issue.

Reimagining old drugs with new tricks: Mechanisms, strategies and notable success stories in drug repurposing for neurological diseases.

Recent evolution in drug repurposing has brought new anticipation, especially in the conflict against neurodegenerative diseases (NDDs). The traditional approach to developing novel drugs for these complex disorders is laborious, time-consuming, and often abortive. However, drug reprofiling which is the implementation of illuminating novel therapeutic applications of existing approved drugs, has shown potential as a promising strategy to accelerate the hunt for therapeutics. The advancement of computational approaches and artificial intelligence has expedited drug repurposing. These progressive technologies have enabled scientists to analyse extensive datasets and predict potential drug-disease interactions. By prospecting into the existing pharmacological knowledge, scientists can recognise potential therapeutic candidates for reprofiling, saving precious time and resources. Preclinical models have also played a pivotal role in this field, confirming the effectiveness and mechanisms of action of repurposed drugs. Several studies have occurred in recent years, including the discovery of available drugs that demonstrate significant protective effects in NDDs, relieve debilitating symptoms, or slow down the progression of the disease. These findings highlight the potential of repurposed drugs to change the landscape of NDD treatment. Here, we present an overview of recent developments and major advances in drug repurposing intending to provide an in-depth analysis of traditional drug discovery and the strategies, approaches and technologies that have contributed to drug repositioning. In addition, this chapter attempts to highlight successful case studies of drug repositioning in various therapeutic areas related to NDDs and explore the clinical trials, challenges and limitations faced by researchers in the field. Finally, the importance of drug repositioning in drug discovery and development and its potential to address discontented medical needs is also highlighted.

Ubiquitin E3 ligases assisted technologies in protein degradation: Sharing pathways in neurodegenerative disorders and cancer.

E3 ligases, essential components of the ubiquitin-proteasome-mediated protein degradation system, play a critical role in cellular regulation. By covalently attaching ubiquitin (Ub) molecules to target proteins, these ligases mark them for degradation, influencing various bioprocesses. With over 600 E3 ligases identified, there is a growing realization of their potential as therapeutic candidates for addressing proteinopathies in cancer and neurodegenerative disorders (NDDs). Recent research has highlighted the need to delve deeper into the intricate roles of E3 ligases as nexus points in the pathogenesis of both cancer and NDDs. Their dysregulation is emerging as a common thread linking these seemingly disparate diseases, necessitating a comprehensive understanding of their molecular intricacies. Herein, we have discussed (i) the fundamental mechanisms through which different types of E3 ligases actively participate in selective protein degradation in cancer and NDDs, followed by an examination of common E3 ligases playing pivotal roles in both situations, emphasising common players. Moving to, (ii) the functional domains and motifs of E3 ligases involved in ubiquitination, we have explored their interactions with specific substrates in NDDs and cancer. Additionally, (iii) we have explored techniques like PROTAC, molecular glues, and other state-of-the-art methods for hijacking neurotoxic and oncoproteins. Lastly, (iv) we have provided insights into ongoing clinical trials, offering a glimpse into the evolving landscape of E3-based therapeutics for cancer and NDDs. Unravelling the intricate network of E3 ligase-mediated regulation holds the key to unlocking targeted therapies that address the specific molecular signatures of individual patients, heralding a new era in personalized medicines.

Questions From Family Members During the Dying Process And Moral Distress Experienced by ICU Nurses.

BACKGROUND: For a hospitalized patient, transitioning to comfort measures only (CMO) involves discontinuation of life-prolonging interventions with a goal of allowing natural death. Nurses play a pivotal role during the provision of CMO, caring for both the dying patient and their family. OBJECTIVE: To examine the experiences of ICU nurses caring for patients receiving CMO. METHODS: Between October 2020 and June 2021, nurses in the neuro- and medical-cardiac intensive care units at Harborview Medical Center in Seattle, WA, completed surveys about their experiences providing CMO. Surveys addressed involvement in discussions about CMO and questions asked by family members of dying patients. We also assessed nurses' moral distress related to CMO and used ordinal logistic regression to examine predictors of moral distress. RESULTS: Surveys were completed by 82 nurses (response rate 44%), with 79 (96%) reporting experience providing CMO in the previous year. Most preferred to be present for discussions between physicians or advanced practice providers and family members about transitioning to CMO (89% most of the time or always); however, only 31% were present most of the time or always. Questions from family about time to death, changes in breathing, and medications to relieve symptoms were common. Most nurses reported moral distress at least some of the time when providing CMO (62%). Feeling well-prepared to answer specific questions from family was associated with less moral distress. CONCLUSION: There is discordance between nurses' preferences for inclusion in discussions about the transition to CMO and their actual presence. Moral distress is common for nurses when providing CMO and feeling prepared to answer questions from family members may attenuate distress.

Male Hypogonadism After Recovery from Acute COVID-19 Infection: A Prospective Observational Study.

BACKGROUND: The severe acute respiratory syndrome coronavirus 2 can affect the hypothalamic-pituitary-gonadal axis (HPG) due to the expression of the angiotensin-converting enzyme 2 receptor. OBJECTIVES: To assess the prevalence of hypogonadism and Sertoli cell dysfunction in coronavirus disease 2019 (COVID-19) male survivors. METHOD: Male subjects recovered from acute COVID-19 infection were prospectively observed. The primary outcomes included the proportion of hypogonadism, defined biochemically as serum testosterone<230 ng/dL or CFT of<6.4 ng/mL if the total testosterone is between 230-320 ng/m. Sertoli cell dysfunction was defined as inhibin-B level<54.5 pg/mL. Subjects with hypogonadism were followed up at 12 months to assess the recovery of the HPG axis. RESULTS: Eighty-three subjects aged≥18 years were evaluated at a median of 120 (±35) days post-recovery. Their mean age was 49.50±12.73 years, and the mean BMI was 26.84±5.62 kg/m2. Low testosterone was detected in 21 (24.71%) and low inhibin-B was detected in 14 (19.71%) out of 71 subjects at 3 months. Subjects with low testosterone were younger, with a mean age of 43.29±12.03 years (P-0.08) and higher BMI (P-0.012). The severity of COVID-19 infection, duration of hospitalization, and other factors were not significantly associated with low testosterone. At 12 months, 18 out of 21 subjects came for follow-up, of which 9 (50%) showed persistently low testosterone, suggestive of hypogonadism. CONCLUSION: Following COVID-19 infection, testosterone levels recovered over time; however, a significant proportion of subjects had low levels at 12-month follow-up. These findings have long-term implications for the management of COVID-19 subjects.

Acrodermatitis Enteropathica.

This case report describes a woman in her 20s with painful, red skin lesions present for 6 months that had gradually progressed from the groin to other sites.

Triaging between post-translational modification of cell cycle regulators and their therapeutics in neurodegenerative diseases.

Neurodegenerative diseases, such as Alzheimer's disease, Parkinson's disease, and Huntington's disease, present challenges in healthcare because of their complicated etiologies and absence of healing remedies. Lately, the emerging role of post-translational modifications (PTMs), in the context of cell cycle regulators, has garnered big interest as a potential avenue for therapeutic intervention. The review explores the problematic panorama of PTMs on cell cycle regulators and their implications in neurodegenerative diseases. We delve into the dynamic phosphorylation, acetylation, ubiquitination, SUMOylation, Glycation, and Neddylation that modulate the key cell cycle regulators, consisting of cyclins, cyclin-dependent kinases (CDKs), and their inhibitors. The dysregulation of these PTMs is related to aberrant cell cycle in neurons, which is one of the factors involved in neurodegenerative pathologies. Moreover, the effect of exogenous activation of CDKs and CDK inhibitors through PTMs on the signaling cascade was studied in postmitotic conditions of NDDs. Furthermore, the therapeutic implications of CDK inhibitors and associated alteration in PTMs were discussed. Lastly, we explored the putative mechanism of PTMs to restore normal neuronal function that might reverse NDDs.

Survival outcomes of patients with HER2/neu-positive breast cancer with germline BRCA mutations.

BACKGROUND: Breast cancer (BC) with germline BRCA1/2 mutations and their association with triple-negative BC has been thoroughly investigated. However, some carriers of BRCA1/2 mutations have human epidermal growth factor receptor 2 (HER2/neu)-positive BC, which has a different targeted therapy approach, and data are scarce for this patient population. The authors sought to characterize the clinical characteristics and outcomes of patients with HER2/neu-positive BC who had germline BRCA1/2 mutations. METHODS: This was a retrospective analysis of data from 1099 patients diagnosed with HER2/neu-positive BC who were screened for germline BRCA mutations between 1996 and 2022. Clinicopathologic features and survival rates were analyzed by BRCA mutation status. Univariate and multivariable Cox proportional hazards regression models were used to analyze the association between clinical variables and outcomes. RESULTS: Of 1099 patients with HER2/neu-positive BC, 73 (6.6%) tested positive for BRCA1/2 mutations. Age, race, and tumor characteristics did not differ between BRCA noncarriers and carriers. At a median follow-up of 78.6 months, the 5-year recurrence-free survival rate was 85% in BRCA carriers and 87% in noncarriers (p = .79), and the 5-year overall survival rate was 94% in BRCA carriers and 94% in noncarriers (p = .78). In a multivariable model, BRCA was not associated with recurrence-free survival (hazard ratio, 0.99; 95% confidence interval, 0.51-1.90; p = .96) or overall survival (hazard ratio, 0.83; 95% confidence interval, 0.33-2.07; p = .69). CONCLUSIONS: BRCA1/2 mutations occurred in 6.6% of patients with HER2/neu-positive BC and did not affect survival outcomes. Assessing the potential benefits of new treatment strategies, such as combining anti-HER2/neu therapies with poly(ADP-ribose) polymerase inhibitors, may lead to enhanced outcomes for these patients.

Clinical Features of Unrecognized Congenital Adrenal Hyperplasia Due to 17α-hydroxylase Deficiency Since Adolescence: A Case Report.

The majority of patients with congenital adrenal hyperplasia (CAH) present with a deficiency of 21-hydroxylase or 11-beta-hydroxylase, which account for 90% and 7% of cases, respectively. However, CAH due to 17α-hydroxylase deficiency (17OHD) is an extremely rare form of CAH (<1% of all CAH cases) that leads to a deficiency of cortisol and sex steroids, along with features of aldosterone excess. This is a case of a 51-year-old single female who was referred to us for the evaluation of new-onset hypertension and hypokalaemia of one-year duration. She was born out of a second-degree consanguineous marriage and reared as a female. She was diagnosed to have testicular feminization syndrome when she presented with a history of primary amenorrhea, absence of secondary sexual characteristics, and bilateral labial swellings at pubertal age. Subsequently, she underwent gonadectomy at the age of 16. Due to the presence of hypertension, metabolic alkalosis and bilaterally enlarged adrenals on CT scan, 46, XY disorders of sexual development (DSD) was considered. A karyotype confirmed the presence of 46, XY chromosomal sex, and genetic analysis revealed a mutation in the CYP17A1 gene, thus confirming the diagnosis of 17α-hydroxylase deficiency.

Quantification of Calcium Ions From the Irrigants Activated With Erbium-Doped Yttrium Aluminum Garnet (Er:YAG) Laser in the Root Dentin: An In Vitro Atomic Absorption Spectrophotometer Study.

OBJECTIVE: The present study aims to assess the quantity of calcium cation eliminated from the root canal by 0.2% chitosan nanoparticles (CNPs) (Sigma Aldrich, Mumbai, Maharashtra, India) and 17% ethylenediaminetetraacetic acid (EDTA) (Pyrax 17% EDTA Solution, Pyrax Polymars, Roorkee, Haridwar, Uttarakhand, India) which are activated with an erbium-doped yttrium aluminum garnet (Er:YAG) laser (LiteTouch™, Light Instruments Ltd., Yokneam Elite, Israel) for smear layer removal using a flame atomic absorption spectrophotometer (AASF) (Deeksha Analytical Pvt Ltd, Gokula Extension, Bengaluru, Karnataka, India). METHODOLOGY: Using the crown-down technique, 60 non-carious single-rooted premolars were instrumented with rotary files and irrigated with 3% sodium hypochlorite. Based on the type of irrigation activation used, all the specimens were arbitrarily divided into five groups with 12 teeth in each group, as follows: G1, 17% EDTA activated with Er:YAG laser; G2, 17% EDTA without laser activation; G3, 0.2% CNP activated with Er:YAG laser; G4, 0.2% CNP without laser activation; and G5, controlled-deionized water. The AASF analysis for the removal of calcium ions in the irrigants was evaluated by collecting the overall quantity of each irrigating solution from the root canals. A one-way analysis of variance (ANOVA) and a Tukey post hoc test were done to determine the AASF data. RESULTS: 17% EDTA activated with Er:YAG laser (130.18 ± 10.3) and 0.2% CNP activated with Er:YAG laser (121.13 ± 3.9) showed the greatest concentration of calcium ions with no statistically significant difference. The lowest concentration of calcium ions was observed in 0.2% CNPs without laser activation (118.64 ± 2.9), while 17% EDTA (125.50 ± 3.0) without laser activation showed an intermediate outcome. The control group did not remove any calcium ions. CONCLUSION: The findings in the present study suggest that EDTA and CNPs, which were activated with lasers, yielded the greatest release of calcium ions equally. Hence, laser-activated CNPs can be employed for essential smear layer removal.

Unraveling snake venom phospholipase A2: an overview of its structure, pharmacology, and inhibitors.

Snake bite is a neglected disease that affects millions of people worldwide. WHO reported approximately 5 million people are bitten by various species of snakes each year, resulting in nearly 1 million deaths and an additional three times cases of permanent disability. Snakes utilize the venom mainly for immobilization and digestion of their prey. Snake venom is a composition of proteins and enzymes which is responsible for its diverse pharmacological action. Snake venom phospholipase A2 (SvPLA2) is an enzyme that is present in every snake species in different quantities and is known to produce remarkable functional diversity and pharmacological action like inflammation, necrosis, myonecrosis, hemorrhage, etc. Arachidonic acid, a precursor to eicosanoids, such as prostaglandins and leukotrienes, is released when SvPLA2 catalyzes the hydrolysis of the sn-2 positions of membrane glycerophospholipids, which is responsible for its actions. Polyvalent antivenom produced from horses or lambs is the standard treatment for snake envenomation, although it has many drawbacks. Traditional medical practitioners treat snake bites using plants and other remedies as a sustainable alternative. More than 500 plant species from more than 100 families reported having venom-neutralizing abilities. Plant-derived secondary metabolites have the ability to reduce the venom's adverse consequences. Numerous studies have documented the ability of plant chemicals to inhibit the enzymes found in snake venom. Research in recent years has shown that various small molecules, such as varespladib and methyl varespladib, effectively inhibit the PLA2 toxin. In the present article, we have overviewed the knowledge of snake venom phospholipase A2, its classification, and the mechanism involved in the pathophysiology of cytotoxicity, myonecrosis, anticoagulation, and inflammation clinical application and inhibitors of SvPLA2, along with the list of studies carried out to evaluate the potency of small molecules like varespladib and secondary metabolites from the traditional medicine for their anti-PLA2 effect.

Emerging trends in post-translational modification: Shedding light on Glioblastoma multiforme.

Recent multi-omics studies, including proteomics, transcriptomics, genomics, and metabolomics have revealed the critical role of post-translational modifications (PTMs) in the progression and pathogenesis of Glioblastoma multiforme (GBM). Further, PTMs alter the oncogenic signaling events and offer a novel avenue in GBM therapeutics research through PTM enzymes as potential biomarkers for drug targeting. In addition, PTMs are critical regulators of chromatin architecture, gene expression, and tumor microenvironment (TME), that play a crucial function in tumorigenesis. Moreover, the implementation of artificial intelligence and machine learning algorithms enhances GBM therapeutics research through the identification of novel PTM enzymes and residues. Herein, we briefly explain the mechanism of protein modifications in GBM etiology, and in altering the biologics of GBM cells through chromatin remodeling, modulation of the TME, and signaling pathways. In addition, we highlighted the importance of PTM enzymes as therapeutic biomarkers and the role of artificial intelligence and machine learning in protein PTM prediction.

Supportive care decision-making processes of persons with dementia and their caregivers.

Little is known about the decision-making processes around seeking more supportive care for dementia. Persons with dementia are often left out of decision-making regarding seeking more supportive care as their dementia progresses. This paper provides a description of findings from the Decision-making in Alzheimer's Research project (DMAR) investigating the process of decision-making about transitions to more supportive care. We conducted 61 qualitative interviews with two stakeholder groups: 24 persons with dementia, and 37 informal caregivers to explore supportive care decisions and associated decision-making factors from the perspectives of persons with dementia and their caregivers. We identified four main decisions that persons with dementia and their informal caregivers played a role in: (1) sharing household responsibilities; (2) limiting routine daily activities; (3) bringing in formal support; and (4) moving to a care facility. Based on our findings we developed a schematized roadmap of decision-making that we used to guide the discussion of our findings. Four crosscutting themes emerged from our analysis: unknowns and uncertainties, maintaining life as you know it, there's no place like home and resource constraints. These results will be incorporated into the development of instruments whose goal is to identify preferences of persons with dementia and their caregivers, in order to include persons with dementia in care decisions even as their dementia progresses.

Consistency and quality in written accreditation protocols for pediatrician training programs: a mixed-methods analysis of a global sample, and directions for improvement.

BACKGROUND: The World Federation for Medical Education (WFME) defines accreditation as 'certification of the suitability of medical education programs, and of…competence…in the delivery of medical education.' Accreditation bodies function at national, regional and global levels. In 2015, WFME published quality standards for accreditation of postgraduate medical education (PGME). We compared accreditation of pediatric PGME programs to these standards to understand variability in accreditation and areas for improvement. METHODS: We examined 19 accreditation protocols representing all country income levels and world regions. For each, two raters assessed 36 WFME-defined accreditation sub-areas as present, partially present, or absent. When rating "partially present" or "absent", raters noted the rationale for the rating. Using an inductive approach, authors qualitatively analyzed notes, generating themes in reasons for divergence from the benchmark. RESULTS: A median of 56% (IQR 43-77%) of WFME sub-areas were present in individual protocols; 22% (IQR 15-39%) were partially present; and 8.3% (IQR 5.5-21%) were absent. Inter-rater agreement was 74% (SD 11%). Sub-areas least addressed included number of trainees, educational expertise, and performance of qualified doctors. Qualitative themes of divergence included (1) variation in protocols related to heterogeneity in program structure; (2) limited engagement with stakeholders, especially regarding educational outcomes and community/health system needs; (3) a trainee-centered approach, including equity considerations, was not universal; and (4) less emphasis on quality of education, particularly faculty development in teaching. CONCLUSIONS: Heterogeneity in accreditation can be appropriate, considering cultural or regulatory context. However, we identified broadly applicable areas for improvement: ensuring equitable access to training, taking a trainee-centered approach, emphasizing quality of teaching, and ensuring diverse stakeholder feedback.

PTEN in triple-negative breast carcinoma: protein expression and genomic alteration in pretreatment and posttreatment specimens.

Background: Recent advances have been made in targeting the phosphoinositide 3-kinase pathway in breast cancer. Phosphatase and tensin homolog (PTEN) is a key component of that pathway. Objective: To understand the changes in PTEN expression over the course of the disease in patients with triple-negative breast cancer (TNBC) and whether PTEN copy number variation (CNV) by next-generation sequencing (NGS) can serve as an alternative to immunohistochemistry (IHC) to identify PTEN loss. Methods: We compared PTEN expression by IHC between pretreatment tumors and residual tumors in the breast and lymph nodes after neoadjuvant chemotherapy in 96 patients enrolled in a TNBC clinical trial. A correlative analysis between PTEN protein expression and PTEN CNV by NGS was also performed. Results: With a stringent cutoff for PTEN IHC scoring, PTEN expression was discordant between pretreatment and posttreatment primary tumors in 5% of patients (n = 96) and between posttreatment primary tumors and lymph node metastases in 9% (n = 33). A less stringent cutoff yielded similar discordance rates. Intratumoral heterogeneity for PTEN loss was observed in 7% of the patients. Among pretreatment tumors, PTEN copy numbers by whole exome sequencing (n = 72) were significantly higher in the PTEN-positive tumors by IHC compared with the IHC PTEN-loss tumors (p < 0.0001). However, PTEN-positive and PTEN-loss tumors by IHC overlapped in copy numbers: 14 of 60 PTEN-positive samples showed decreased copy numbers in the range of those of the PTEN-loss tumors. Conclusion: Testing various specimens by IHC may generate different PTEN results in a small proportion of patients with TNBC; therefore, the decision of testing one versus multiple specimens in a clinical trial should be defined in the patient inclusion criteria. Although a distinct cutoff by which CNV differentiated PTEN-positive tumors from those with PTEN loss was not identified, higher copy number of PTEN may confer positive PTEN, whereas lower copy number of PTEN would necessitate additional testing by IHC to assess PTEN loss. Trial registration: NCT02276443.

New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson's disease.

Parkinson's disease (PD) is characterized by the loss of neuronal cells, which leads to synaptic dysfunction and cognitive defects. Despite the advancements in treatment strategies, the management of PD is still a challenging event. Early prediction and diagnosis of PD are of utmost importance for effective management of PD. In addition, the classification of patients with PD as compared to normal healthy individuals also imposes drawbacks in the early diagnosis of PD. To address these challenges, artificial intelligence (AI) and machine learning (ML) models have been implicated in the diagnosis, prediction, and treatment of PD. Recent times have also demonstrated the implication of AI and ML models in the classification of PD based on neuroimaging methods, speech recording, gait abnormalities, and others. Herein, we have briefly discussed the role of AI and ML in the diagnosis, treatment, and identification of novel biomarkers in the progression of PD. We have also highlighted the role of AI and ML in PD management through altered lipidomics and gut-brain axis. We briefly explain the role of early PD detection through AI and ML algorithms based on speech recordings, handwriting patterns, gait abnormalities, and neuroimaging techniques. Further, the review discuss the potential role of the metaverse, the Internet of Things, and electronic health records in the effective management of PD to improve the quality of life. Lastly, we also focused on the implementation of AI and ML-algorithms in neurosurgical process and drug discovery.

Development of High-Resolution Melting Curve Analysis for rapid detection of SEC23B gene mutation causing Congenital Dyserythropoietic Anemia type II in Indian population.

BACKGROUND: Congenital dyserythropoietic anemias (CDAs) are a very rare and heterogeneous group of disorders characterized by ineffective erythropoiesis. CDA II is caused by mutations in the SEC23B gene. The most common mutation reported in India is c.1385 A > G, p.Y462C. There is no simple and cost-effective confirmatory diagnostic test available for CDA, and therefore, many patients remain undiagnosed. High-resolution melting curve (HRM) analysis is a polymerase chain reaction (PCR) based technique applied to identify genetic differences and scan nucleic acid sequences. HRM can be used to rapidly screen the common mutation causing CDA II in the Indian population. Thus, we studied the use of High-Resolution Melting Curve Analysis to detect common mutation causing CDA II in the Indian population. METHOD: 11 patients having SEC23B (Y462C) mutation causing CDA II are considered for this study. HRM was used to check the presence of Y462C mutation. To verify the accuracy of the HRM analysis, we compared HRM results with the results of Sanger sequencing. This helped us to confirm the diagnosis. RESULTS: We have described the clinical, hematological, and genetic data of eleven patients suffering from CDAII. According to HRM and Sanger sequencing, a homozygous SEC23B (Y462C) mutation was present in all patients, whereas a heterozygous Y462C mutation was present in their parents. CONCLUSION: Our data showed that High-Resolution Melting (HRM) analysis could be used to rapidly screen common SEC23B mutation that causes CDA II in the Indian population.

Predictive Roles of Baseline Stromal Tumor-Infiltrating Lymphocytes and Ki-67 in Pathologic Complete Response in an Early-Stage Triple-Negative Breast Cancer Prospective Trial.

High stromal tumor-infiltrating lymphocytes (sTILs) are associated with improved pathologic complete response (pCR) in triple-negative breast cancer (TNBC). We hypothesize that integrating high sTILs and additional clinicopathologic features associated with pCR could enhance our ability to predict the group of patients on whom treatment de-escalation strategies could be tested. In this prospective early-stage TNBC neoadjuvant chemotherapy study, pretreatment biopsies from 408 patients were evaluated for their clinical and demographic features, as well as biomarkers including sTILs, Ki-67, PD-L1 and androgen receptor. Multivariate logistic regression models were developed to generate a computed response score to predict pCR. The pCR rate for the entire cohort was 41%. Recursive partitioning analysis identified ≥20% as the optimal cutoff for sTILs to denote 35% (143/408) of patients as having high sTILs, with a pCR rate of 59%, and 65% (265/408) of patients as having low sTILs, with a pCR rate of 31%. High Ki-67 (cutoff > 35%) was identified as the only predictor of pCR in addition to sTILs in the training set. This finding was verified in the testing set, where the highest computed response score encompassing both high sTILa and high Ki-67 predicted a pCR rate of 65%. Integrating Ki67 and sTIL may refine the selection of early stage TNBC patients for neoadjuvant clinical trials evaluating de-escalation strategies.