Susceptibility To Illness Research Articles

Gene Polymorphism Of TNF-A (Rs1799964) In Aborted Women With Respiratory Disease In Al-Diwaniyah Province

Background: TNF-α, a proinflammatory cytokine, plays a significant role in the etiology of various illnesses. The encoding gene is found on chromosome 6's short arm in the major histocompatibility complex class III region. Polymorphisms in the TNF-α gene promoter region are believed to impact illness susceptibility and severity. This review summarizes the research on the association between TNF-α gene and receptor polymorphisms and respiratory illness development. This study aim to determine of gene polymorphism of TNF-α in aborted women with respiratory diseases. Methods : The study was carried out for 100 pregnant women, including 60 aborted women with and without respiratory diseases, and 40 women as healthy control group. Genotypes in TNF-α T>C SNPs were identified using self- designed nested T-ARMS PCR tests. Sequencing validated randomly chosen PCR results that represented unique genotypes in TNF-α SNPs. Results : The results of TNF-α (rs1799964) C/T SNP genotyping between aborted women with respiratory diseases and healthy control revealed that the heterozygous C/T genotype was a significant risk factor with an OR of 6.28, while the homozygous TT genotype was non-significant (OR= 2.09). Conclusion : The rs1799964 TNF-α polymorphisms are possible genetic risk factors of respiratory diseases and might be its predictive markers.

Insights into the relevance of viral infections to the onset of oral malignancies, review study

The purpose of this article is to summarize what is now known about the link between oral cancer, viral infections, and influencing variables by reviewing the scholarly literature on the subject. Inflammatory reactions can be triggered by a variety of hereditary and environmental variables that impact the mouth cavity and its multitude of bacteria. Important functions of this reaction include determining a patient's viral illness susceptibility, promoting chronic inflammation that may lead to oral carcinogenesis, and regulating the human immune system. Researchers have looked at the correlation between viral manifestation and the likelihood of cancer by studying how inflammation of the afflicted epithelium increases the risk. A large body of research indicates that viral infections increase the likelihood of developing various malignancies due to their systemic effects. Alcohol use, smoking, and poor dietary habits are among the many confounding variables linked to oral cancer. The following search engines were utilized: MEDLINE, PubMed, Google Scholar, and ScienceDirect. The keywords that were entered were: head and neck cancer (HNC), oral squamous cell carcinoma (OSCC), and other oral malignancies, viral infections (HSV, CMV, HIV, EBV, HPV), and so on. This review set out to search the relevant literature for a better understanding of the connection between viral infections and oral cancer.

Pharmacogenomics: A Genetic Approach to Drug Development and Therapy.

The majority of the well-known pharmacogenomics research used in the medical sciences contributes to our understanding of medication interactions. It has a significant impact on treatment and drug development. The broad use of pharmacogenomics is required for the progress of therapy. The main focus is on how genes and an intricate gene system affect the body's reaction to medications. Novel biomarkers that help identify a patient group that is more or less likely to respond to a certain medication have been discovered as a result of recent developments in the field of clinical therapeutics. It aims to improve customized therapy by giving the appropriate drug at the right dose at the right time and making sure that the right prescriptions are issued. A combination of genetic, environmental, and patient variables that impact the pharmacokinetics and/or pharmacodynamics of medications results in interindividual variance in drug response. Drug development, illness susceptibility, and treatment efficacy are all impacted by pharmacogenomics. The purpose of this work is to give a review that might serve as a foundation for the creation of new pharmacogenomics applications, techniques, or strategies.

Non Adherence to Fluid Restriction among Patients who Undergoing Hemodialysis and Influencing Factors: Study at RSI Sakinah Mojokerto

Background: Nonadherence to Fluid Restriction is main problem among chronic renal failure patients who undergoing hemodialysis, it causingan undesirable effect on health and risk of death. Several factors such as sociodemographic, knowledge, susceptibility of illness, perceived treat, perceived controlare some factors influencing Nonadherence behavior. Purpose: The aim of this study was to analyze the factors influencing Non-adherence to Fluid Restriction who undergoing hemodialysis at RSI Sakinah Mojokerto. Methods: A descriptive analytic with crossectional techniques was conducted among 73 patients undergoing hemodialysis at RSI Sakinah Mojokerto by using purposive sampling technique. Data were collected through checklist and questionnaires. Descriptive statistic was used for data analysis and logistic regression test was used analysis the predictor of factors relating with Non-adherence to Fluid Restriction who undergoing hemodialysis. Results: The results of this study showed 37% patients were Non-adherence to Fluid Restriction and 63% patients were adherence. There were three risk factors for non-adherencee, namely (Health Belief Model) HBM, history of disease and length of time undergoing hemodialysis. HBM 0.132 times higher (95% CI: 0.132, 0.035), history of disease 0.072 times higher (95% CI: 0.072, 0.012), and length of time undergoing hemodialysis 0.071 times higher (95% CI: 0.071, 0.016). Conclusion: HBM, history of disease and length of time undergoing hemodialysis were risk factors for Non-adherence to Fluid Restriction. The nurse should consider the patient's adherence with fluid restrictions in providing nursing care.

Pre-Infection Innate Immunity Attenuates SARS-CoV-2 Infection and Viral Load in iPSC-Derived Alveolar Epithelial Type 2 Cells.

A large portion of the heterogeneity in coronavirus disease 2019 (COVID-19) susceptibility and severity of illness (SOI) remains poorly understood. Recent evidence suggests that SARS-CoV-2 infection-associated damage to alveolar epithelial type 2 cells (AT2s) in the distal lung may directly contribute to disease severity and poor prognosis in COVID-19 patients. Our in vitro modeling of SARS-CoV-2 infection in induced pluripotent stem cell (iPSC)-derived AT2s from 10 different individuals showed interindividual variability in infection susceptibility and the postinfection cellular viral load. To understand the underlying mechanism of the AT2's capacity to regulate SARS-CoV-2 infection and cellular viral load, a genome-wide differential gene expression analysis between the mock and SARS-CoV-2 infection-challenged AT2s was performed. The 1393 genes, which were significantly (one-way ANOVA FDR-corrected p ≤ 0.05; FC abs ≥ 2.0) differentially expressed (DE), suggest significant upregulation of viral infection-related cellular innate immune response pathways (p-value ≤ 0.05; activation z-score ≥ 3.5), and significant downregulation of the cholesterol- and xenobiotic-related metabolic pathways (p-value ≤ 0.05; activation z-score ≤ -3.5). Whilst the effect of post-SARS-CoV-2 infection response on the infection susceptibility and postinfection viral load in AT2s is not clear, interestingly, pre-infection (mock-challenged) expression of 238 DE genes showed a high correlation with the postinfection SARS-CoV-2 viral load (FDR-corrected p-value ≤ 0.05 and r2-absolute ≥ 0.57). The 85 genes whose expression was negatively correlated with the viral load showed significant enrichment in viral recognition and cytokine-mediated innate immune GO biological processes (p-value range: 4.65 × 10-10 to 2.24 × 10-6). The 153 genes whose expression was positively correlated with the viral load showed significant enrichment in cholesterol homeostasis, extracellular matrix, and MAPK/ERK pathway-related GO biological processes (p-value range: 5.06 × 10-5 to 6.53 × 10-4). Overall, our results strongly suggest that AT2s' pre-infection innate immunity and metabolic state affect their susceptibility to SARS-CoV-2 infection and viral load.

Investigating Genetic Variation in Disease Susceptibility

In the field of biomedical research, understanding the genetic basis of illness susceptibility has emerged as critical. Genetic diversity influences an individual's susceptibility to a variety of diseases, ranging from common ailments like diabetes and cardiovascular disease to uncommon afflictions like Huntington's disease. Researchers hope that by resolving the complex interplay between genetic variables and illness vulnerability, they will be able to develop more tailored preventive, diagnostic, and treatment options. This article goes into the approaches used to investigate the influence of genetic diversity on disease susceptibility, emphasizing major discoveries and future prospects in this rapidly evolving subject.

Observed Warming Trends at U.S. Army Basic Combat Training Installations andImplications forFuture Recruit Training.

Army recruits conducting BCT are among the most susceptible population of military personnel to experience exertional heat illness, a concern expected to become increasingly urgent due to steadily rising temperatures. In this study, we provide an empirical analysis of wet bulb globe temperature (WBGT) index trends at U.S. Army BCT installations and quantify the magnitude of these trends. Assuming these warming trends continue, the anticipated effects of increasing temperature trends are discussed in relation to potential impacts on recruit heat illness incidence and training disruption. We obtained weather data beginning in the early 1960s, including WBGT index measurements derived by the U.S. Air Force 14th Weather Squadron. We apply these datasets to two classifications for high WBGT index days, including one classification accounting for heat illness susceptibility based on prior day heat exposure, to determine when recruits are most at risk of heat illness. The daily likelihood of extreme WBGT index values is described at each installation using a 30-year climatological average. Trends in the WBGT index are evaluated quantitatively during the warm season (May 1-September 30) and full year and compared between decades and by individual BCT classes. Trends in the WBGT index have increased at all four BCT installations. Between January 1960 and October 2022, the mean WBGT index value increased most quickly at Ft Jackson, SC (0.272°C decade-1, CI: 0.255-0.289) and least at Ft Moore, GA (0.190°C decade-1, CI: 0.170-0.210). Ft Moore experiences the greatest heat burden, with the daily likelihood of experiencing a "black flag" event (≥90°F WBGT index) peaking at nearly 50% in late July, while Ft Leonard Wood, MO, experiences the least heat burden. This heat burden is spread unevenly across installations and dependent on BCT class start date. Recruits beginning in mid-June will experience approximately 200 hours of hazardous heat during BCT at Ft Moore, GA; 100 hours at Ft Jackson, SC; 80 hours at Ft Sill, OK; and 61 hours at Ft Leonard Wood, MO. Temperatures measured on the WBGT index have steadily increased at US Army basic training installations since at least 1960. In the future, adaptation to the BCT program will be required to maintain rigorous standards without incurring unacceptable risk of recruit heat illness. The analysis provided by this study can help inform medical, training, and policy implementations needed to ensure continued BCT in a warming world.

Learning from COVID-19 for Mitigating the Next Possible Pandemic: Nutrition, Lifestyle, Risk Factors and Non-Pharmaceutical Interventions

The COVID-19 pandemic has sparked a paradigm change in pandemic preparedness measures, motivating an investigation of non-pharmaceutical therapies. This research dives into the lessons learned from COVID-19 to strengthen our strategy to prevent future pandemics. The study aimed to extract valuable insights from the COVID-19 experience, extrapolating lessons learned to develop strong strategies that include diet, lifestyle, risk factors and non-pharmaceutical treatments. Nutrition and lifestyle influences on illness susceptibility were studied using a comprehensive examination of scholarly literature, reports and epidemiological studies. Role of essential risk variables was investigated in magnifying pandemic outcomes and the efficiency of non-pharmaceutical treatments in reducing infectious agent transmission. The analysis demonstrates the long-term utility of COVID-19 findings. This review emphasizes the importance of nutrition and lifestyle variables in determining susceptibility to infectious illnesses. Furthermore, a detailed examination of risk variables shows critical predictors of pandemic severity. Most significantly, the findings highlight the effectiveness of non-pharmaceutical measures, emphasizing their vital role in pandemic containment. This study has far-reaching ramifications that advocate for a paradigm change towards comprehensive pandemic preparation using the lessons learned during COVID-19. Research findings highlight the need for a multifaceted strategy, including diet, lifestyle changes, targeted risk reduction and non-pharmaceutical therapies. This study provides a road map for improving global resilience to potential future pandemics, calling for preventative strategies beyond pharmacological remedies.

Early peripheral blood lymphocyte subsets and cytokines in predicting the severity of influenza B virus pneumonia in children.

Children with influenza B virus infection have a higher susceptibility and higher severity of illness. The activation and disorder of immune function play an important role in the severity of influenza virus infection. This study aims to investigate whether early lymphocyte count and cytokines can provide predictive value for the progression in children with influenza B virus pneumonia. A retrospective cohort study was conducted to analyze the clinical data of children with influenza B virus pneumonia from December 1, 2021, to March 31, 2022, in the National Children's Regional Medical Center (Shengjing Hospital of China Medical University). According to the severity of the disease, the children were divided into a mild group and a severe group, and the clinical characteristics, routine laboratory examination, lymphocyte subsets, and cytokines were compared. A total of 93 children with influenza B virus pneumonia were enrolled, including 70 cases in the mild group and 23 cases in the severe group. Univariate analysis showed that drowsiness, dyspnea, white blood cell (WBC), lymphocytes, monocytes, procalcitonin, alanine aminotransferase (ALT), aspartate aminotransferase (AST), creatine kinase-MB (CK-MB), lactate dehydrogenase (LDH), fibrinogen (FIB), Immunoglobulin M (IgM), lung consolidation, total T cell count, CD4+ T cell count, CD8+ T cell count, NK cell count, NK cell % and B cell % had statistical differences between the mild and severe groups (P<0.05). In multivariate logistic regression analysis, reduced ALT (OR = 1.016), FIB (OR = 0.233), CD8+ T cell count (OR = 0.993) and NK cell count (OR = 0.987) were independently associated with the development of severe influenza B virus pneumonia. The levels of T lymphocytes and NK cells were related to the progression of influenza B virus pneumonia in children, and the reduction of CD8+ T cell count and NK cell count can be used as independent risk factors for predicting the severity of influenza B virus pneumonia.

Candidate biomarkers in psychiatric disorders: state of the field.

The field of psychiatry is hampered by a lack of robust, reliable and valid biomarkers that can aid in objectively diagnosing patients and providing individualized treatment recommendations. Here we review and critically evaluate the evidence for the most promising biomarkers in the psychiatric neuroscience literature for autism spectrum disorder, schizophrenia, anxiety disorders and post-traumatic stress disorder, major depression and bipolar disorder, and substance use disorders. Candidate biomarkers reviewed include various neuroimaging, genetic, molecular and peripheral assays, for the purposes of determining susceptibility or presence of illness, and predicting treatment response or safety. This review highlights a critical gap in the biomarker validation process. An enormous societal investment over the past 50 years has identified numerous candidate biomarkers. However, to date, the overwhelming majority of these measures have not been proven sufficiently reliable, valid and useful to be adopted clinically. It is time to consider whether strategic investments might break this impasse, focusing on a limited number of promising candidates to advance through a process of definitive testing for a specific indication. Some promising candidates for definitive testing include the N170 signal, an event-related brain potential measured using electroencephalography, for subgroup identification within autism spectrum disorder; striatal resting-state functional magnetic resonance imaging (fMRI) measures, such as the striatal connectivity index (SCI) and the functional striatal abnormalities (FSA) index, for prediction of treatment response in schizophrenia; error-related negativity (ERN), an electrophysiological index, for prediction of first onset of generalized anxiety disorder, and resting-state and structural brain connectomic measures for prediction of treatment response in social anxiety disorder. Alternate forms of classification may be useful for conceptualizing and testing potential biomarkers. Collaborative efforts allowing the inclusion of biosystems beyond genetics and neuroimaging are needed, and online remote acquisition of selected measures in a naturalistic setting using mobile health tools may significantly advance the field. Setting specific benchmarks for well-defined target application, along with development of appropriate funding and partnership mechanisms, would also be crucial. Finally, it should never be forgotten that, for a biomarker to be actionable, it will need to be clinically predictive at the individual level and viable in clinical settings.

Cluster-based psychological phenotyping and differences in anxiety treatment outcomes

The identification of markers of mental health illness treatment response and susceptibility using personalized medicine has been elusive. In the context of psychological treatment for anxiety, we conducted two studies to identify psychological phenotypes with distinct characteristics related to: psychological intervention modalities (mindfulness training/awareness), mechanism of action (worry), and clinical outcome (generalized anxiety disorder scale scores). We also examined whether phenotype membership interacted with treatment response (Study 1) and mental health illness diagnosis (Studies 1–2). Interoceptive awareness, emotional reactivity, worry, and anxiety were assessed at baseline in treatment-seeking individuals (Study 1, n = 63) and from the general population (Study 2, n = 14,010). In Study 1, participants were randomly assigned to an app-delivered mindfulness program for anxiety for two months or treatment as usual. Changes in anxiety were assessed 1 and 2 months post-treatment initiation. In studies 1–2, three phenotypes were identified: ‘severely anxious with body/emotional awareness’ (cluster 1), ‘body/emotionally unaware’ (cluster 2), and ‘non-reactive and aware’ (cluster 3). Study 1’s results revealed a significant treatment response relative to controls (ps < 0.001) for clusters 1 and 3, but not for cluster 2. Chi-square analyses revealed that phenotypes exhibited significantly different proportions of participants with mental health diagnoses (studies 1–2). These results suggest that psychological phenotyping can bring the application of personalized medicine into clinical settings.Registry name and URL: Developing a novel digital therapeutic for the treatment of generalized anxiety disorder https://clinicaltrials.gov/ct2/show/NCT03683472?term=judson+brewer&draw=1&rank=1.Trial registration: Registered at clinicaltrials.gov (NCT03683472) on 25/09/2018.

Contribution of ceramides metabolism in psychiatric disorders.

Psychiatric disorders affect 970 million people worldwide, representing a significant source of disability. Although the underlying neurobiological traits for these disorders are not fully understood, a complex interplay between psychological, environmental, and biological factors contributes to their outcomes. Recent advances in lipidomic analysis and artificial intelligence algorithms have improved the identification of selective lipid species modulating the susceptibility to mental disorders. Sphingolipids (SLs) and ceramides-related SLs are among the most abundant lipids species in the brain that support major key pathways during neurodevelopment and brain plasticity. High levels of ceramides in plasma and brain contribute to psychiatric illness susceptibility in humans and animal models. However, the neuropathological mechanism regarding the involvement of ceramides in these disorders remain inconclusive. The brain is highly susceptible to nutritional insults, which could lead to functional impairment and influence the development and progression of psychiatric disorders. While the brain relies on glucose metabolism to support its physiological needs, a selective nutrient formula appears to have greater effects on brain health than others. For instance, consumption of high-energy diets is associated with brain anatomical, physiological, and metabolic changes, including ceramides metabolism. Herein, we will address the contribution of ceramides metabolism as a modulator of major psychiatric disorders such as depression, anxiety, bipolar disorder, schizophrenia, and attention deficit-hyperactivity disorder. We will also describe molecular and cellular targets of ceramides metabolism assisting the maintenance and progression of psychiatric disorders and their modulation by dietary formulas as non-pharmacologic treatments.

667. Real-world Experience of Cefiderocol with Pseudomonas aeruginosa in the PROVE (Retrospective Cefiderocol Chart Review) Study

Abstract Background Gram-negative (GN) bacterial resistance is an urgent global health problem. Cefiderocol (CFDC) is active against many resistant GN pathogens, including Pseudomonas aeruginosa (PA). PROVE is an ongoing international, retrospective study assessment of CFDC use for Gram-negative infections (GNI). Methods Patients were eligible if they received ≥ 72 hours of CFDC. Patient and pathogen characteristics, hospital course, and antibiotic treatment patterns were described. All-cause mortality (ACM) at 14 and 30 days and clinical cure were examined as outcomes, overall, and by key characteristics such as pathogen susceptibility (determined at the local level), patient demographics, infection site, and severity of illness. Serious adverse drug reactions (SADR) were recorded. Results To date, 123 patients treated with CFDC at 12 sites were included. Sixty-five patients had PA as a pathogen, either alone (N=45) or in combination with another pathogen (N=20) attributed to starting CFDC. The median age was 54 years; 68% were male. The most prevalent comorbidity was diabetes with end stage organ damage (N=15, 23%). CFDC was given in an ICU setting in 54 (82%) patients. Vasopressors and mechanical ventilation were required in 42% and 62%, respectively. Most (91%) PA were carbapenem resistant. The median time from a positive culture to start of CFDC was 6 days. CFDC monotherapy was used in 75%. The most common GN antibiotic class used concurrently with CFDC was aminoglycosides (N=7). Targeted therapy with CFDC against pathogens of known susceptibility with or without prior GN antibiotics accounted for 80% of use. The remainder was used for salvage (15%) or empirically (2%). Susceptibility testing to CFDC, available for 54 cultures (54 patients), showed 94% (51/54) were susceptible. Post-CFDC initiation 14- and 30-day all-cause mortality (ACM) was 9% (95% CI: 3%-19%) and 23% (95% CI: 14%-35%) respectively. Clinical resolution was achieved in 66% (95% CI: 53% -77%). Thirty-day ACM for susceptible pathogens was 25% (13/51). Cefiderocol Use Patterns in Pseudomonas aeruginosa Conclusion Real-world use of CFDC for PA demonstrated that most patients had multiple comorbidities and were severely ill. These data suggest that CFDC is being used appropriately with little empirical use in patients with few treatment options. Disclosures Stephen Marcella, MD, MPH, Shionogi: Shionogi employee|Shionogi, Inc: Employee Amy L. Carr, PharmD, BCIDP, Shionogi: Advisory Board Sean Nguyen, n/a, Shionogi: Employee Anan Zhou, MPH, Shionogi, Inc: contracting work for Shionogi, Inc.

Investigation of Polymorphisms of ACEII Gene in People With Coronavirus With Severe and Mild Symptoms or Asymptomatic

Introduction: Angiotensin-converting enzyme 2 (ACE2) is the central receptor of coronavirus disease 2019 (COVID-19) in host cells. Genetic polymorphisms in the ACE2 gene may promote cardiovascular disease and systemic inflammatory injury in a patient affected by COVID-19. Thus, the genetic background may account for the substantial inter-individual diversity in illness susceptibility or severity. Our study was conducted to find a significant relationship between ACE2 rs4646142 and rs2285666 polymorphisms and susceptibility to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Methods: In this study, we randomly selected 230 samples, including 76 patients with severe clinical symptoms and 154 patients with mild clinical symptoms (the positive case of COVID-19 was confirmed by real-time reverse transcriptase polymerase chain reaction [RT-PCR] assay). Then, we performed DNA extraction and investigated the polymorphisms of rs2285666 and rs4646142 by RFLP-PCR method with TaqI and Alu1 restriction enzymes. Results: The study population included 107 men and 123 women, and the mean (±SD) age of the participants was 42.66±10.2. First, the levels of IgM and IgG were examined, and a significant association was observed in the level of IgM between the two groups of COVID-19 patients with mild and severe symptoms, as opposed to IgG. Meanwhile, no significant difference was observed between ACE2 rs4646142 and rs2285666 polymorphisms and the severity of COVID-19. Conclusion: To better understand the genetic variations in people’s susceptibility to COVID-19, this study was designed to evaluate the association between various ACE2 polymorphisms and the infection risk of SARS-CoV-2. However, no statistical difference was discovered.

The MitoAging Project: Single nucleotide polymorphisms (SNPs) in mitochondrial genes and their association to longevity

Mitochondrial dysfunction is a major hallmark of aging. Mitochondrial DNA (mtDNA) mutations (inherited or acquired) may cause a malfunction of the respiratory chain (RC), and thus negatively affect cell metabolism and function. In contrast, certain mtDNA single nucleotide polymorphisms (SNPs) may be beneficial to mitochondrial electron transport chain function and the extension of cellular health as well as lifespan. The goal of the MitoAging project is to detect key physiological characteristics and mechanisms that improve mitochondrial function and use them to develop therapies to increase longevity and a healthy lifespan. We chose to perform a systematic literature review (SLR) as a tool to collect key mtDNA SNPs associated with an increase in lifespan. Then validated our results by comparing them to the MitoMap database. Next, we assessed the effect of relevant SNPs on protein stability. A total of 28 SNPs were found in protein coding regions. These SNPs were reported in Japan, China, Turkey, and India. Among the studied SNPs, the C5178A mutation in the ND2 gene of Complex I of the RC was detected in all the reviewed reports except in Uygur Chinese centenarians. Then, we found that G9055A (ATP6 gene) and A10398G (ND3 gene) polymorphisms have been associated with a protective effect against Parkinson’s disease (PD). Additionally, C8414T in ATP8 was significantly associated with longevity in three Japanese reports. Interestingly, using MitoMap we found that G9055A (ATP6 gene) was the only SNP promoting longevity not associated with any pathology. The identification of SNPs associated with an increase in lifespan opens the possibility to better understand individual differences regarding a decrease in illness susceptibility and find strategies that contribute to healthy aging.

Influence of Deha-Prakriti (Body Constitution) in the manifestation of disease in context to Amavata (Rheumatoid Arthritis) - An appraisal

Deha-Prakriti (DP) is Ayurveda’s one-of-a-kind contribution, established at conception and cannot be changed throughout one’s life. There are seven varieties of DP. Vataja, Pittaja, Kaphaja (Shleshmala), Samsargaja [combination of two Dosha] i.e. Vata-Pittaja, Pitta-Kaphaja, Kapha-Vataja, Sannipataja [combination of three Dosha] i.e. Vata-Pitta-Kapha. The first and most important aspect of Dashavidha-parikshyabhavas (ten important examination factors to be known by the physician) is the DP assessment since it plays a crucial part in Rogi-Pariksha (evaluation of the patient) and Roga-Pariksha (assessment of the disease). DP allows a physician to assess the condition of Koshtha (digestion system), Agni (digestive capacity), Bala (strength), and Ayu (life-span) in both healthy and diseased people. It may also help a physician forecast illness susceptibility, severity of signs and symptoms, disease activity scores, and bio-markers such as hematological, pathological, and biochemical indicators. Based on the severity, a physician may prepare the appropriate diet-chart, medication, dose, Anupana (co-drink to the primary medicine), and treatment technique (either Shodhana karma- purificatory measure or Shamana karma- Palliative measure). In light of the above facts, the current study aims to explore the DP-based susceptibility to Amavata, its severity, and the research strategy for future studies. An overview of evidence-based study on developing Deha-Prakriti with diverse illness conditions may be provided in this work, allowing for the revalidation of ayurvedic literature-based assertions.

Exploring a New Theoretical Model to Explain the Behavior of Medication Adherence.

Medication adherence is essential for optimal therapeutic outcomes. However, non-adherence with long-term therapy is at 50%. Several theoretical models have identified several key factors that could explain medication adherence. Though numerous interventions have been developed based on these theoretical models, the success rates with interventions are not the best. This paper proposes a new Hierarchical Model for Medication Adherence. In this model, we propose medication adherence as a five-tier model with medication adherence as the desirable behavior on the top of the pyramid. From the bottom of the hierarchy upwards, the skills/beliefs/behaviors to be achieved are: health literacy, belief in illness (impacted by perceived susceptibility and severity of illness), belief in medicines (impacted by treatment satisfaction), and self-efficacy (impacted by social support). The model further proposes that each individual will achieve or already have these skills/beliefs/behaviors at various levels. Screening patients for these benchmarks will enable providers to decide where to target interventions.

Medicine and the critique of war: military psychiatry, social classification and the malingering patient in colonial India

AbstractThe treatment of injured Indian soldiers in Britain during WWI deployed particular ways of recording injuries and using them to make judgments about loyalty to the Imperial Army by assessing the soldier’s ability to malinger. This was possible by using personal correspondences between soldiers and their families for ethnographic ends ie. to determine susceptibility to develop mental illness through a soldier’s ethnic background and whether he was from the so-called ‘martial races’ or not. This classificatory knowledge as well as the suspicion towards exaggerated symptoms was also inherited by Indian psychiatry after partition. However, while these psychiatrists reproduced some colonial biases about susceptibility of illness, they were much more receptive to considering the social experience of patients including their kinship relations at home and in the military. By the end of WWII, symptoms came to be regarded as signs of recovery and readjustment to social relations to make a case for the lasting impacts of war on the soldier’s mental and physical health.

Immune and Epigenetic Pathways Linking Childhood Adversity and Health Across the Lifespan.

Childhood adversity is associated with a host of mental and physical health problems across the lifespan. Individuals who have experienced childhood adversity (e.g., child abuse and neglect, family conflict, poor parent/child relationships, low socioeconomic status or extreme poverty) are at a greater risk for morbidity and premature mortality than those not exposed to childhood adversity. Several mechanisms likely contribute to the relationship between childhood adversity and health across the lifespan (e.g., health behaviors, cardiovascular reactivity). In this paper, we review a large body of research within the field of psychoneuroimmunology, demonstrating the relationship between early life stress and alterations of the immune system. We first review the literature demonstrating that childhood adversity is associated with immune dysregulation across different indices, including proinflammatory cytokine production (and its impact on telomere length), illness and infection susceptibility, latent herpesvirus reactivation, and immune response to a tumor. We then summarize the growing literature on how childhood adversity may alter epigenetic processes. Finally, we propose future directions related to this work that have basic and applied implications.

A CLINICAL UTILITY OF PRAKRITI PARIKSHAN- AN AYURVEDIC DIAGNOSTIC TOOL: A BRIEF REVIEW

Ayurveda is science of life. Prevention and cure of disease is the aim of Ayurveda. Prakriti is one of the major Ayurvedic principles derived from the Veda, Purana, Upanishad, and Darshana. Prakriti in Ayurveda refers to an individual’s inherent nature; an inborn inclination that governs consciousness and activity. Prakriti is supposed to be fixed in every person. It is influenced by the status of Tridosha, at the time of union of ovum and sperm. Also, an individual's Prakriti is determined based on the predominance of any single or a combination of two or three Dosha. Every individual, like genetic coding, has a different combination and is thus a distinct entity. In Ayurvedic texts different Acharyas have described different features of Doshaj, Manasa, Bhautika &amp; Jatyadi Prakriti. For fulfilling the aim of Ayurveda and alleviating disorders in diseased states, knowledge of an individual's constitution and status of Dosha is required, and with this knowledge, we can prevent and cure disease stages by managing the diet, physical activities, and psychological conditions of the individual. Prakriti also determine an individual's reaction to environmental circumstances, lifestyle choices, medications, and illness susceptibility, making it one of the earliest known concepts in preventive and personalized or genomic medicine. To understand the pattern of susceptibility of an individual to different diseases, selection of drugs, their dose, drug reaction to the body, disease prognosis, course, and preventive measures, Prakriti analysis is performed first, followed by Vikriti analysis. Hence, Prakriti emphasizes uniqueness and plays a significant role in disease prevention and cure, as well as maintaining a healthy body throughout one's life.