Shared Pathophysiology of Inflammatory Bowel Disease and Psoriasis: Unraveling the Connection.

Psoriasis (PS) and inflammatory bowel disease (IBD) are immune-mediated chronic conditions that share pathophysiological processes, including immune system dysfunction, microbiome dysbiosis, and inflammatory pathways. These pathways result in increased turnover of epithelial cells and compromised barrier function. The assessment of the literature suggests that immunopathogenic mechanisms, such as tumor necrosis factor (TNF)-α signaling and IL-23/IL-17 axis dysregulation, are shared by PS and IBD. Clinical characteristics and diagnostic approaches overlap significantly, and advances in biomarker identification benefit both conditions. Current treatments, namely biologics that target TNF-α, IL-17, and IL-23, show promising results in decreasing inflammation and controlling symptoms. Precision medicine approaches are prioritized in prospective therapeutic procedures to tailor pharmaceuticals based on specific biomarkers, perhaps improving outcomes and minimizing side effects. This study thoroughly examines and evaluates the body of research on PS and IBD. Several papers were examined to compile data on clinical features, diagnosis, therapies, pathophysiology, epidemiology, and potential future therapeutic developments. The selection of articles was based on three methodological qualities: relevance and addition to the knowledge of IBD and PS. The retrieved data were combined to provide a coherent summary of the state of the knowledge and to spot new trends. The overview of the latest studies demonstrates that both PS and IBD share pathophysiological foundations and therapeutic approaches. With a spotlight on particular biomarkers, advances in precision medicine provide a promising path toward enhancing therapeutic effectiveness and minimizing side effects.

Diagnostic Modalities in Heart Failure: A Narrative Review.

Heart failure (HF) can present acutely or progress over time. It can lead to morbidity and mortality affecting 6.5 million Americans over the age of 20. The HF type is described according to the ejection fraction classification, defined as the percentage of blood volume that exits the left ventricle after myocardial contraction, undergoing ejection into the circulation, also called stroke volume, and is proportional to the ejection fraction. Cardiac catheterization is an invasive procedure to evaluate coronary artery disease leading to HF. Several biomarkers are being studied that could lead to early detection of HF and better symptom management. Testing for various biomarkers in the patient's blood is instrumental in confirming the diagnosis and elucidating the etiology of HF. There are various biomarkers elevated in response to increased myocardial stress and volume overload, including B-type natriuretic peptide (BNP) and its N-terminal prohormone BNP. We explored online libraries such as PubMed, Google Scholar, and Cochrane to find relevant articles. Our narrative review aims to extensively shed light on diagnostic modalities and novel techniques for diagnosing HF.

Assessment of the Impact of Comorbidities on Outcomes in Non-ST Elevation Myocardial Infarction (NSTEMI) Patients: A Narrative Review.

Non-ST-segment elevation myocardial infarction (NSTEMI) is associated with significant morbidity and mortality, occurring when the heart's need for oxygen cannot be met. It is defined by elevated cardiac biomarkers without ST-segment elevation and often carries a poorer prognosis than most ST-segment elevation events. NSTEMI usually results from severe coronary artery narrowing, transient occlusion, or microembolization of thrombus/atheromatous material. Patients with NSTEMI often have multiple comorbidities, which can worsen their prognosis and complicate treatment. This study aims to investigate the impact of comorbidities such as hypertension (HTN), diabetes mellitus (DM), chronic obstructive pulmonary disease (COPD), obesity, dyslipidemia, and smoking on patients with NSTEMI. The prevalence of each comorbidity is examined individually within the NSTEMI population to provide a clearer picture of how frequently these conditions co-occur with NSTEMI and how they affect the established NSTEMI treatment protocols.  This paper sheds light on the interaction between NSTEMI and commonly associated comorbidities through a comprehensive literature review and data analysis. This is critical for optimizing clinical decision-making and enhancing patient care, ultimately improving outcomes in this high-risk patient population.

Advances in Neurorehabilitation: Strategies and Outcomes for Traumatic Brain Injury Recovery.

Traumatic brain injury (TBI) consists of an external physical force that causes brain function impairment or pathology and globally affects 50 million people each year, with a cost of 400 billion US dollars. Clinical presentation of TBI can occur in many forms, and patients usually require prolonged hospital care and lifelong rehabilitation, which leads to an impact on the quality of life. For this narrative review, no particular method was used to extract data. With the aid of health descriptors and Medical Subject Heading (MeSH) terms, a search was thoroughly conducted in databases such as PubMed and Google Scholar. After the application of exclusion and inclusion criteria, a total of 146 articles were effectively used for this review. Results indicate that rehabilitation after TBI happens through neuroplasticity, which combines neural regeneration and functional reorganization. The role of technology, including artificial intelligence, virtual reality, robotics, computer interface, and neuromodulation, is to impact rehabilitation and life quality improvement significantly. Pharmacological intervention, however, did not result in any benefit when compared to standard care and still needs further research. It is possible to conclude that, given the high and diverse degree of disability associated with TBI, rehabilitation interventions should be precocious and tailored according to the individual's needs in order to achieve the best possible results. An interdisciplinary patient-centered care health team and well-oriented family members should be involved in every stage. Lastly, strategies must be adequate, well-planned, and communicated to patients and caregivers to attain higher functional outcomes.

Role of Artificial Intelligence in the Diagnosis of Gastroesophageal Reflux Disease.

Gastroesophageal reflux disease (GERD) is a disorder that usually presents with heartburn. GERD is diagnosed clinically, but most patients are misdiagnosed due to atypical presentations. The increased use of artificial intelligence (AI) in healthcare has provided multiple ways of diagnosing and treating patients accurately. In this review, multiple studies in which AI models were used to diagnose GERD are discussed. According to the studies, using AI models helped to diagnose GERD in patients accurately. AI, although considered one of the most potent emerging aspects of medicine with its accuracy in patient diagnosis, presents limitations of its own, which explains why healthcare providers may hesitate to use AI in patient care. The challenges and limitations should be addressed before AI is fully incorporated into the healthcare system.

Gender Disparities in Cardiovascular Disease and Their Management: A Review.

Worldwide, cardiovascular diseases (CVDs) are still the primary cause of death, and there are notable differences between sexes when it comes to symptoms/course and treatment. Due to evolving healthcare technologies, significant progress has been made in understanding CVDs. Hence, it is evident that gender disparities exist in the clinical presentation, prevalence, management, outcomes, and risk factors, including biological, behavioral, and sociocultural factors. This narrative review is designed to provide a generalized idea of gender disparities in CVDs. It aims to provide insights to prove the role of hormonal influences, genetic predispositions, and the difference in physiological outcomes owing to different genders. This review explores subtle distinctions in CVD across genders, including changes in structure, biology, and hormones that affect how illness presents and progresses. Lifestyle variables also influence sociocultural factors and gender disparities in risk profiles. Traditional risk factors, diabetes mellitus (DM), cholesterol levels, and smoking may have different weights and relevance in men and women. Moreover, age and other conventional risk variables have distinct effects on gender. Treatment efficacy may be impacted by the expression of gender-specific factors, emphasizing the necessity for customized strategies. Development of CVDs can be delayed or prevented, and its consequences can be lessened with the early identification and effective management of gender-specific factors. More investigation is necessary to clarify complex interactions between structural, biochemical, and hormonal aspects across genders in order to maximize treatment results and reduce the burden of CVDs.

Artificial Intelligence and Its Role in Diagnosing Heart Failure: A Narrative Review.

Heart failure (HF) is prevalent globally. It is a dynamic disease with varying definitions and classifications due to multiple pathophysiologies and etiologies. The diagnosis, clinical staging, and treatment of HF become complex and subjective, impacting patient prognosis and mortality. Technological advancements, like artificial intelligence (AI), have been significant roleplays in medicine and are increasingly used in cardiovascular medicine to transform drug discovery, clinical care, risk prediction, diagnosis, and treatment. Medical and surgical interventions specific to HF patients rely significantly on early identification of HF. Hospitalization and treatment costs for HF are high, with readmissions increasing the burden. AI can help improve diagnostic accuracy by recognizing patterns and using them in multiple areas of HF management. AI has shown promise in offering early detection and precise diagnoses with the help of ECG analysis, advanced cardiac imaging, leveraging biomarkers, and cardiopulmonary stress testing. However, its challenges include data access, model interpretability, ethical concerns, and generalizability across diverse populations. Despite these ongoing efforts to refine AI models, it suggests a promising future for HF diagnosis. After applying exclusion and inclusion criteria, we searched for data available on PubMed, Google Scholar, and the Cochrane Library and found 150 relevant papers. This review focuses on AI's significant contribution to HF diagnosis in recent years, drastically altering HF treatment and outcomes.

The Role of Artificial Intelligence in Identifying Depression and Anxiety: A Comprehensive Literature Review.

This narrative literature review undertakes a comprehensive examination of the burgeoning field, tracing the development of artificial intelligence (AI)-powered tools for depression and anxiety detection from the level of intricate algorithms to practical applications. Delivering essential mental health care services is now a significant public health priority. In recent years, AI has become a game-changer in the early identification and intervention of these pervasive mental health disorders. AI tools can potentially empower behavioral healthcare services by helping psychiatrists collect objective data on patients' progress and tasks. This study emphasizes the current understanding of AI, the different types of AI, its current use in multiple mental health disorders, advantages, disadvantages, and future potentials. As technology develops and the digitalization of the modern era increases, there will be a rise in the application of artificial intelligence in psychiatry; therefore, a comprehensive understanding will be needed. We searched PubMed, Google Scholar, and Science Direct using keywords for this. In a recent review of studies using electronic health records (EHR) with AI and machine learning techniques for diagnosing all clinical conditions, roughly 99 publications have been found. Out of these, 35 studies were identified for mental health disorders in all age groups, and among them, six studies utilized EHR data sources. By critically analyzing prominent scholarly works, we aim to illuminate the current state of this technology, exploring its successes, limitations, and future directions. In doing so, we hope to contribute to a nuanced understanding of AI's potential to revolutionize mental health diagnostics and pave the way for further research and development in this critically important domain.

Novel Biomarkers in Early Detection of Heart Failure: A Narrative Review.

Heart failure (HF) represents a significant global health challenge, characterized by a variety of symptoms resulting from cardiac dysfunction. This dysfunction often leads to systemic and pulmonary congestion. The pathophysiology of HF is complex, involving stimulation of the sympathetic nervous system, which is insufficiently balanced by the release of natriuretic peptide. This imbalance leads to progressive hypertrophy and dilatation of the heart's chambers, impairing its pumping efficiency and increasing the risk of arrhythmias and conduction disorders. The prevalence of HF is exceptionally high in industrialized nations and is expected to increase owing to an aging population and advancements in diagnostic methods. This study emphasizes the critical role of early diagnosis in reducing morbidity and mortality associated with HF, focusing specifically on the evolving importance of biomarkers in managing this condition. Biomarkers have played a key role in transforming the diagnosis and treatment of HF. Traditional biomarkers such as b-type natriuretic peptide and N-terminal pro-b-type natriuretic peptide have been widely adopted for their cost-effectiveness and ease of access. However, the rise of novel biomarkers such as growth differentiation factor 15 and adrenomedullin has shown promising results, offering superior sensitivity and specificity. These new biomarkers enhance diagnostic accuracy, risk stratification, and prognostic evaluation in HF patients. Despite these advancements, challenges remain, such as limited availability, high costs, and the need for further validation in diverse patient populations. Through a comprehensive literature review across databases such as PubMed, Google Scholar, and the Cochrane Library, this study compiles and analyzes data from 18 relevant studies, offering a detailed understanding of the current state of HF biomarkers. The study examines both traditional and emerging biomarkers such as galectin-3 and soluble suppression of tumorigenicity 2 in HF, exploring their clinical roles and impact on patient outcomes.

A Narrative Literature Review on Sepsis: A Primary Manifestation of Colorectal Neoplasm.

Sepsis and colorectal cancer (CRC) exhibit a complex relationship that warrants further exploration. This review delves into the interplay of factors between sepsis and CRC, uncovering shared pathophysiological traits and potential bacterial associations. Understanding these connections could pave the way for earlier diagnosis, improved management, and enhanced outcomes in CRC patients. The role of immune system dysfunction, hypoalbuminemia, and specific microbial imbalances, such as Streptococcus bovis and Clostridium septicum, are discussed. Recognizing sepsis in CRC patients is crucial for timely intervention, and tailored approaches encompassing antibiotic therapy, source control measures, and cancer treatment are essential for comprehensive care. Monitoring biomarkers and ratios can provide valuable insights into complications and overall health outcomes. A multidisciplinary approach involving various specialists is necessary to address the global burden of CRC and its association with sepsis while exploring novel interventions, such as fecal microbiota transplantation and personalized care. We conducted a thorough search using reputable databases such as PubMed, Scopus, and Google Scholar to investigate the connection between sepsis and CRC. We refined our search terms, utilized sidebar filters, and examined references in selected articles. This meticulous process helped us create a comprehensive literature review and gain valuable insights into this relationship.

Investigating the Impact of Epilepsy on Cognitive Function: A Narrative Review.

It has been noted that people who have epilepsy have an increased propensity for cognitive dysfunction. We explored 25 relevant articles on PubMed and Cochrane Library after implementing inclusion criteria. Different factors have been postulated and studied that may cause cognitive dysfunction in these patients; structural brain abnormalities, polypharmacy of antiepileptic medication, and neuropsychiatric disorders are the most common causes. Cognitive assessments such as Montreal Cognitive Assessment (MOCA) and Mini-Mental State Exam (MMSE) are the mainstay tools used to diagnose the degree of cognitive decline, and alterations in EEG (electroencephalogram) parameters have also been noted in people with cognitive decline. The mechanisms and treatments for cognitive decline are still being studied, while attention has also been directed toward preventive and predictive methods. Early detection and treatment of cognitive impairment can help minimize its impact on the patient's quality of life. Regular cognitive assessments are essential for epileptic patients, particularly those on multiple antiepileptic drugs. While proper management of epilepsy and related comorbidities would reduce cognitive decline and improve the overall quality of life for people with epilepsy.

Virtual and Augmented Reality in Post-stroke Rehabilitation: A Narrative Review.

Virtual reality (VR) and augmented reality (AR) are noble adjunctive technologies currently being studied for the neuro-rehabilitation of post-stroke patients, potentially enhancing conventional therapy. We explored the literature to find if VR/AR improves neuroplasticity in stroke rehabilitation for a better quality of life. This modality can lay the foundation for telerehabilitation services in remote areas. We analyzed four databases, namely Cochrane Library, PubMed, Google Scholar, and Science Direct, by searching the following keywords: ("Stroke Rehabilitation" [Majr]) AND ("Augmented Reality" [Majr]), Virtual Augmented Reality in Stroke Rehabilitation. All the available open articles were reviewed and outlined. The studies conclude that VR/AR can help in early rehabilitation and yield better results in post-stroke patients in adjunct to conventional therapy. However, due to the limited research on this subject, we cannot conclude that this information is absolute. Moreover, VR/AR was seldom customized according to the needs of stroke survivors, which would have given us the full extent of its application. Around the world, stroke survivors are being studied to verify the accessibility and practicality of these innovative technologies. Observations conclude that further exploration of the extent of the implementations and efficacy of VR and AR, combined with conventional rehabilitation, is fundamental.

Use of Balloon Occluded Retrograde Transvenous Obliteration (BRTO) for Treatment of Gastric Varices: A Narrative Review.

Gastric Varices occur as a result of portal hypertension. Balloon Retrograde Transvenous Obliteration (BRTO) is a modality for managing gastric varices. The ultimate goal of this review is to promote the broader adoption of BRTO in managing gastric varices and to promote further research to improve patient outcomes. Before this study, an electronic literature search was undertaken based on identified concepts, keywords, and other pertinent descriptions. Search databases were developed and included "Gastric varices" AND "BRTO" OR "intervention" OR "treatment" OR "procedure" OR "glue" OR "adhesive".  The databases selected and thoroughly searched were PubMed, Cochrane Library and ScienceDirect. Following the first search, 274 articles were found in total. By applying inclusion criteria of full-text articles and a period of fewer than five years, the database was reduced to 37 articles, which was then further filtered to include only articles on adults over 19 years old, leaving a total count of 17 articles. BRTO is a relatively simple procedure to perform once the essential skill is attained and helpful in both emergency and elective management of gastric varices. Its use still needs to be improved by the unavailability and lack of skills. However, there are side effects associated with BRTO as it causes elevation of portal hypertension, recurrent bleeding, hemoglobinuria and pain post procedure. This review emphasizes the need for further research in this field, focusing on refining patient selection criteria, improving the technical aspect of the procedure and enhancing long-term outcomes.

Prospect of Alpha-Synuclein (A-Syn) Isolation From Saliva as a Promising Diagnostic Biomarker Alternative in Parkinson's Disease (PD): A Systematic Review.

Neurodegenerative diseases, in particular Parkinson's disease (PD), a disabling disorder, require early attention due to the course the diseases take. By the time of clinical manifestation, dopaminergic neuron death would have already exceeded a damaging level. Therefore, the discovery of biomarkers that will effectively diagnose PD at an early stage and help monitor disease advancement is crucial. Out of the available biomarkers and bodily sources from which these can be isolated; alpha-synuclein (a-syn) from saliva seems to be a promising and easily accessible option. This has been further investigated in this systematic review. A comprehensive literature search on PubMed, PubMed Central (PMC), and Science Direct resulted in 1,439 articles. After screening and exclusion, 12 relevant articles were derived. In many of the studies, there was a decrease in total salivary a-syn in PD patients compared to healthy controls (HC), with an increase in oligo a-syn and oligo a-syn/total a-syn ratio as a rather consistent finding amongst the studies reviewed. On the other hand, a few studies revealed no significant difference in a-syn levels between the controls and PD patients. Another common finding was the lack of disease severity correlation with the marker, probably due to the scarcity of longitudinal studies conducted and smaller cohorts recruited in the studies. Overall, the total a-syn did show a genetic and phenotypic association, whilst oligo a-syn had the potential to serve as a biomarker for disease diagnosis. With the standardization of sample collection methods and diagnostic tools, and the accomplishment of longitudinal studies, further importance of salivary a-syn as a biomarker in PD could be established, utilizing the already existing data as an encouraging foundation for future research.

Ill Effects and Complications Associated to Removable Dentures With Improper Use and Poor Oral Hygiene: A Systematic Review.

The importance of oral care and its relationship with an individual's well-being has been identified over the past few decades. As there is a drastic increase in the aging population, so did the use of removable dentures more than ever before. The use of dentures among the elderly provides functional advantages and esthetic benefits. However, improper use and poor oral hygiene with removable dentures come with complications, including denture stomatitis, ulcerations, pneumonia, and many more. The study aims to determine the complications associated with inappropriate use and poor oral care and bring forth evidence-based dentist-recommended guidelines for denture maintenance. Articles were systematically screened in PubMed/Medline (Medical Literature Analysis and Retrieval System Online), PubMed Central (PMC), and Cochrane Library using keywords. Medical Subject Heading (MeSH) was also utilized to identify relevant articles. Inclusion and exclusion criteria were applied, duplicate articles were discarded, and then the articles were reviewed by title and abstract screening. The remaining articles went through a detailed full-text review. A quality appraisal check was conducted for each unique type of research publication, after which a total of 22 articles were finalized. In this study, we have seen pathological biofilm formation on dentures, life-threatening pneumonia, denture stomatitis, and accidental ingestion/aspiration of dentures amongst the elderly population. The study also identified members with low literacy rates, minorities, and low-income families seem to be at higher risk of poor oral care and denture hygiene. We identified that most of these complications could be prevented with proper guidance and education. In the future, a further detailed study is important as no clear consensus exists in terms of best practices of denture cleaning methods. In addition, measures should be initiated to encourage regular dentist appointments and increase accessibility among members of low socioeconomic status and minorities.

Is Tocilizumab Effective and Safe in Polymyalgia Rheumatica and Giant-Cell Arteritis With Polymyalgia Rheumatica?

Polymyalgia rheumatica (PMR) and giant-cell arteritis (GCA) with symptoms of PMR share some pathophysiologic features. Interleukin 6 (IL-6) levels are elevated in both groups. We investigated the effect of tocilizumab (TCZ), an IL-6 inhibitor, in both populations and whether there were any differences regarding effectiveness and safety between them. We conducted a systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines by searching the following databases: PubMed, PMC, Medline, Scopus, Cochrane Library, and ClincalTrials.gov. We found eight articles including one systematic review, one randomized controlled trial (RCT), one posthoc analysis of an RCT, and five observational studies. A total of 668 patients were included in this study. After a comprehensive analysis, we can only infer that there is insufficient evidence to suggest TCZ as monotherapy. Nevertheless, using TCZ in combination with glucocorticoid can be an effective therapeutic option.

Role of Metformin in the Management of Polycystic Ovarian Syndrome-Associated Acne: A Systematic Review.

Metformin, a biguanide hypoglycemic agent that is safe and effective for treating acne in women with the polycystic ovarian syndrome (PCOS), has shown growing evidence of improving insulin resistance, hyperandrogenism, dyslipidemia, overall cardiovascular health, quality of life, psychological wellbeing, and general health outcomes. This study aims to identify and summarize the effects of metformin in patients with PCOS-associated acne. This systematic review was based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A systematic search was done on PubMed, PubMed Central, Cochrane, Google Scholar, and Science Direct databases from 2011 up to 23 February 2022. Randomized controlled trials (RCTs), cross-sectional studies, observational studies, literature reviews, systematic reviews, and meta-analyses published in English were selected. The data was extracted to a predefined template. Each study was individually checked by using a quality assessment. The initial search generated a total of 218 studies. Nine studies were included in the final selection: two RCTs, one hospital-based longitudinal study, one hospital-based clinical trial, three cross-sectional studies, three systematic reviews with meta-analyses, and one narrative review. Metformin is generally effective and safe for improving PCOS-associated acne and the quality of life. More clinical trials are required to determine the indications for prescribing metformin in patients with PCOS-associated acne.

The Effects of Yoga on Bipolar Disorder: A Systematic Review.

Bipolar disorder (BD) is a mood disorder characterized by severe mood swings and or periods of depression. This study examined the role that practicing yoga has on the symptoms of BD. One of the main goals was to identify if patients with BD believe that yoga is a viable treatment option. Six research databases were searched using the keywords "yoga" AND "therapy" AND "BD" AND "bipolar depression." Articles published in 2005 and later were included in the search. After duplicates were removed, and inclusion and exclusion criteria were applied, five articles were analyzed and included in this literature review. Results of this review indicate that yoga has been shown to be associated with both benefits and risks for the treatment of BD. Studies have shown that yoga might relieve some symptoms of BD and depression. However, due to the lack of research on the impact of yoga on BD and the small number of studies included in this review, results should be approached with caution. Overall, yoga was well-tolerated in the studies reviewed in this article. Yoga may relieve the symptoms of depression. Future research should analyze the long-term impact of yoga on bipolar depression. Yoga instructional standards should also be considered.

Molecular Cloning and Characterization of an Acidic Polygalacturonase from Grapes and Its Potential in Industry.

Pectinase enzymes from different plants have many possible biotechnological applications in various industries. Considering industrial significance of pectinolytic enzymes, the polygalacturonase (PG) gene from grapes was cloned into Escherichia coli DH5α using pTZ57R/T vector. Homologous sequences established a close link to Vitis vinifera. Conserve domain analysis predicted PLN02218 domain belongs to the cl31843 superfamily, showing its function as polygalacturonase. After confirmation by PCR and restriction analysis, the PG gene was expressed in E. coli BL21 and induced by IPTG. Expression level was assessed by 12% SDS-PAGE, which showed a 47 kDa protein. High expression level in the soluble fraction indicated that the protein is intracellular or transmembrane. Maximum expression was obtained with 1 mM IPTG and 6 hour induction time, and autoinduction with lactose increased production of the recombinant enzyme. Zymogram analysis revealed that the induced protein was an active enzyme. Expressed PG showed pectinolytic effect on the physiochemical properties of lemon juice. Natural biopolymers are greatly needed because synthetic fibers can negatively affect health. Pectin hydrolysis of banana pseudostem by the PG enzyme produced better quality fiber. Morphological studies by scanning electron microscopy revealed pectin degradation within the fiber cell architecture, showing the effectiveness of PG treatment on banana pseudostem.