scholarly journals How biomarker patterns can be utilized to identify individuals with a high disease burden: a bioinformatics approach towards predictive, preventive, and personalized (3P) medicine

2021 ◽  
Author(s):  
Nina Bertele ◽  
Alexander Karabatsiakis ◽  
Claudia Buss ◽  
Anat Talmon
Keyword(s):  
High Risk ◽  
Childhood Maltreatment ◽  
Disease Burden ◽  
Targeted Prevention ◽  
Prevention Intervention ◽  
Reactive Protein ◽  
Leverage Point ◽  
Low Cortisol ◽  
Somatic Diseases ◽  
High Disease Burden

AbstractPrevalences of non-communicable diseases such as depression and a range of somatic diseases are continuously increasing requiring simple and inexpensive ways to identify high-risk individuals to target with predictive and preventive approaches. Using k-mean cluster analytics, in study 1, we identified biochemical clusters (based on C-reactive protein, interleukin-6, fibrinogen, cortisol, and creatinine) and examined their link to diseases. Analyses were conducted in a US American sample (from the Midlife in the US study, N = 1234) and validated in a Japanese sample (from the Midlife in Japan study, N = 378). In study 2, we investigated the link of the biochemical clusters from study 1 to childhood maltreatment (CM). The three identified biochemical clusters included one cluster (with high inflammatory signaling and low cortisol and creatinine concentrations) indicating the highest disease burden. This high-risk cluster also reported the highest CM exposure. The current study demonstrates how biomarkers can be utilized to identify individuals with a high disease burden and thus, may help to target these high-risk individuals with tailored prevention/intervention, towards personalized medicine. Furthermore, our findings raise the question whether the found biochemical clusters have predictive character, as a tool to identify high-risk individuals enabling targeted prevention. The finding that CM was mostly prevalent in the high-risk cluster provides first hints that the clusters could indeed have predictive character and highlight CM as a central disease susceptibility factor and possibly as a leverage point for disease prevention/intervention.

scholarly journals How Routinely Assessed Biomarkers Can Be Utilized To Identify Individuals With A High Disease Burden: A Bioinformatics Approach Towards Predictive, Preventive And Personalised (3P) Medicine

2021 ◽  
Author(s):  
Nina Bertele ◽  
Alexander Karabatsiakis ◽  
Claudia Buss ◽  
Anat Talmon
Keyword(s):  
High Risk ◽  
Childhood Maltreatment ◽  
Disease Burden ◽  
The United States ◽  
Targeted Prevention ◽  
Prevention Intervention ◽  
Reactive Protein ◽  
Low Cortisol ◽  
Somatic Diseases ◽  
High Disease Burden

Abstract Prevalences of non-communicable diseases such as depression and a range of somatic diseases are continuously increasing requiring simple and inexpensive ways to identify high-risk individuals to target with predictive and preventive approaches. Using k-mean cluster analytics, in study 1, we identified biochemical clusters (based on C-reactive protein, interleukin-6, fibrinogen, cortisol, and creatinine) and examined their link to diseases. Analyses were conducted in a U.S. American sample (from Midlife in the United States study, N = 1,234) and validated in a Japanese sample (from Midlife in Japan study, N = 378). In study 2, we investigated the link of clusters to childhood maltreatment (CM). The three identified biochemical clusters included one cluster (with high inflammatory signaling and low cortisol and creatinine concentrations) indicating the highest disease burden. This high-risk cluster also reported the highest CM exposure. The current study demonstrates how biomarkers can be utilized to identify individuals with a high disease burden and thus, may help to target these high-risk individuals with tailored prevention/intervention, towards personalized medicine. Furthermore, our findings raise the question whether the found biochemical clusters have predictive character; as a tool to identify high-risk individuals enabling targeted prevention. The finding that CM was mostly prevalent in the high-risk cluster provides first hints that the clusters could indeed have predictive character and highlight CM as a central disease susceptibility factor and possibly as a leverage point for disease prevention/intervention.

scholarly journals Clinical Presentation and Management of a Dinutuximab Beta Extravasation in a Patient with Neuroblastoma

Children ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 91
Author(s):  
Michael Launspach ◽  
Marita Seif ◽  
Theresa M. Thole ◽  
Patrick Jesse ◽  
Joachim Schulz ◽  
...  
Keyword(s):  
High Risk ◽  
Neuroblastoma Cells ◽  
Drug Application ◽  
Immunocompromised Host ◽  
Laboratory Diagnostics ◽  
Chemotherapy Drugs ◽  
Reactive Protein ◽  
Intravenous Antibiotics ◽  
Inflammatory Toxicity ◽  
Bacterial Superinfection

Extravasation can present serious accidental complication of intravenous drug application. While monoclonal antibodies do not show the necrotic potential of cytotoxic chemotherapy drugs, considerable inflammatory toxicity can occur, necessitating standardized operating procedures for the management of their extravasation. Here, we report the clinical course and management of dinutuximab beta extravasation in a 3-year-old child. Dinutuximab beta is a chimeric monoclonal antibody targeting the GD2 disialoganglioside on the surface of neuroblastoma cells that has in recent years gained significant importance in the treatment of high-risk neuroblastoma, now contributing to both first- and second-line therapy protocols. The dinutuximab beta extravasation reported here occurred when the patient received the antibody cycle as a continuous infusion over a 10-day period after haploidentical stem cell transplantation for relapsed high-risk neuroblastoma. The extravasated dinutuximab beta caused local pain, swelling, and hyperemia accompanied by fever and an overall deterioration in the general condition. Laboratory diagnostics demonstrated an increase in C-reactive protein level and total white blood cell count. Clinical complication management consisted of intravenous fluid therapy, local dabbing with dimethyl sulfoxide (DMSO), analgesia with dipyrone, as well as application of intravenous antibiotics to prevent bacterial superinfection in the severely immunocompromised host. The patient considerably improved after six days with this treatment regimen and fully recovered by day 20.

scholarly journals The Relationship Between Self-Compassion, Childhood Maltreatment and Attachment Orientation In High-Risk Adolescents

2021 ◽  
pp. 0044118X2110028
Author(s):  
Heather Mary Quinlan ◽  
Kellie Lynn Hadden ◽  
David Paul Storey
Keyword(s):  
Psychological Distress ◽  
High Risk ◽  
Childhood Maltreatment ◽  
Newfoundland And Labrador ◽  
Attachment Anxiety ◽  
Non Profit ◽  
Self Compassion ◽  
Attachment Orientation ◽  
The Relationship ◽  
Street Environment

The purpose of the current study was to explore whether selfcompassion predicted psychological distress over and above childhood maltreatment and attachment orientation in high-risk youths. Fifty-one youths (31 males, 20 females) aged 17 to 24, recruited from a community non-profit organization in St. John’s, Newfoundland and Labrador, Canada, were administered validated measures of childhood maltreatment, attachment orientation, self-compassion, and psychological distress. Results indicated that self-compassion was inversely associated with childhood maltreatment, attachment anxiety, attachment avoidance, and psychological distress. However, results did not support the hypothesis that self-compassion was a significant predictor of psychological distress over and above attachment anxiety and childhood maltreatment in high-risk youths. Our results indicated that self-compassion is not well developed in street-involved youths and may be a vital intervention target to heal negative internalized views of the self, while maintaining vigilance to threats inherent in the street environment.

576 PREDICTORS OF HIGH DISEASE BURDEN IN CHILDREN WITH ACUTE RECURRENT OR CHRONIC PANCREATITIS*

2021 ◽  
Vol 160 (6) ◽  
pp. S-112-S-113
Author(s):  
Aliye Uc ◽  
Laura Rubin ◽  
Gretchen Cress ◽  
Ying Yuan ◽  
Mark Lowe
Keyword(s):  
Chronic Pancreatitis ◽  
Disease Burden ◽  
High Disease Burden

scholarly journals Genomics research in Africa and its impact on global health: insights from African researchers

2018 ◽  
Vol 3 ◽  
Author(s):  
N. S. Munung ◽  
B. M. Mayosi ◽  
J. de Vries
Keyword(s):  
Global Health ◽  
Disease Surveillance ◽  
Disease Burden ◽  
Research Priorities ◽  
Treatment And Prevention ◽  
Genomics Research ◽  
African Populations ◽  
Research Findings ◽  
Depth Interviews ◽  
High Disease Burden

Africa may be heading for an era of genomics medicine. There are also expectations that genomics may play a role in reducing global health inequities. However, the near lack of genomics studies on African populations has led to concerns that genomics may widen, rather than close, the global health inequity gap. To prevent a possible genomics divide, the genomics ‘revolution’ has been extended to Africa. This is motivated, in part, by Africa's rich genetic diversity and high disease burden. What remains unclear, however, are the prospects of using genomics technology for healthcare in Africa. In this qualitative study, we explored the views of 17 genomics researchers in Africa on the prospects and challenges of genomics medicine in Africa. Interviewees were researchers in Africa who were involved in genomics research projects in Africa. Analysis of in-depth interviews suggest that genomics medicine may have an impact on disease surveillance, diagnosis, treatment and prevention. However, Africa's capacity for genomics medicine, current research priorities in genomics and the translation of research findings will be key defining factors impacting on the ability of genomics medicine to improve healthcare in Africa.

scholarly journals Oxytocin Receptor Gene, Childhood Maltreatment and Borderline Personality Disorder Features among Male Inmates in China

2020 ◽  
Author(s):  
Min Zhang ◽  
Na Liu ◽  
Haocheng Chen ◽  
Ning Zhang
Keyword(s):  
Sexual Abuse ◽  
Borderline Personality Disorder ◽  
High Risk ◽  
Personality Disorder ◽  
Antisocial Personality Disorder ◽  
Childhood Maltreatment ◽  
Oxytocin Receptor ◽  
Borderline Personality ◽  
Antisocial Personality ◽  
Male Inmates

Abstract Background: Borderline personality disorder (BPD) is caused by a variety of biological and environmental factors. Accumulating evidence suggests that childhood maltreatment is a risk environmental factor in the development of BPD, but research on the genetic pathology of BPD is still in its early stages, and very little is known about the oxytocin receptor (OXTR) gene. The purpose of this study is to further explore the interactive effects between OXTR gene polymorphisms and childhood maltreatment on BPD risk. Methods: Among the 1804 male inmates, 765 inmates who had BPD or antisocial personality disorder (ASPD) or highly impulsive or violent crime were considered as high-risk inmates and included in this study. Childhood maltreatment, BPD, antisocial personality disorder (ASPD) and impulsivity were measured by self-reported questionnaires. Peripheral venous blood was collected for the genotype test. Results: Analyses revealed that the BP group (inmates with BPD features) had higher rs53576 AA genotype frequency and rs237987 AA genotype frequency than the non-BP group, while the statistical significances were lost after Bonferroni correction. Total childhood maltreatment score, emotional abuse and neglect could positively predict BPD risk. Among the high-risk samples, rs53576 GG genotype carriers had higher BPD scores at higher levels of physical abuse and sexual abuse and had lower BPD scores at lower levels of physical abuse and sexual abuse. Conclusions: The findings suggest that the interaction between OXTR gene variations and childhood maltreatment is an important mechanism for the development of BPD. The moderating role of the OXTR gene provides evidence for gene plasticity.

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