Since December 2019, the world is potentially facing one of the most difficult infectious situations of the last decades. COVID-19 epidemic warrants consideration as a mass casualty incident (MCI) of the highest nature. An optimal MCI/disaster management should consider all four phases of the so-called disaster cycle: mitigation, planning, response, and recovery. COVID-19 outbreak has demonstrated the worldwide unpreparedness to face a global MCI.This present paper thus represents a call for action to solicitate governments and the Global Community to actively start effective plans to promote and improve MCI management preparedness in general, and with an obvious current focus on COVID-19.
Mild Traumatic brain injury (mTBI) is a signature wound in military personnel, and repetitive mTBI has been linked to age‐related neurogenerative disorders that affect white matter (WM) in the brain. However, findings of injury to specific WM tracts have been variable and inconsistent. This may be due to the heterogeneity of mechanisms, etiology, and comorbid disorders related to mTBI. Non‐negative matrix factorization (NMF) is a data‐driven approach that detects covarying patterns (components) within high‐dimensional data. We applied NMF to diffusion imaging data from military Veterans with and without a self‐reported TBI history. NMF identified 12 independent components derived from fractional anisotropy (FA) in a large dataset (n = 1,475) gathered through the ENIGMA (Enhancing Neuroimaging Genetics through Meta‐Analysis) Military Brain Injury working group. Regressions were used to examine TBI‐ and mTBI‐related associations in NMF‐derived components while adjusting for age, sex, post‐traumatic stress disorder, depression, and data acquisition site/scanner. We found significantly stronger age‐dependent effects of lower FA in Veterans with TBI than Veterans without in four components (q < 0.05), which are spatially unconstrained by traditionally defined WM tracts. One component, occupying the most peripheral location, exhibited significantly stronger age‐dependent differences in Veterans with mTBI. We found NMF to be powerful and effective in detecting covarying patterns of FA associated with mTBI by applying standard parametric regression modeling. Our results highlight patterns of WM alteration that are differentially affected by TBI and mTBI in younger compared to older military Veterans.
In: Smith , A K , Ratanatharathorn , A , Maihofer , A X , Naviaux , R K , Aiello , A E , Amstadter , A B , Ashley-Koch , A E , Baker , D G , Beckham , J C , Boks , M P , Bromet , E , Dennis , M , Galea , S , Garrett , M E , Geuze , E , Guffanti , G , Hauser , M A , Katrinli , S , Kilaru , V , Kessler , R C , Kimbrel , N A , Koenen , K C , Kuan , P F , Li , K , Logue , M W , Lori , A , Luft , B J , Miller , M W , Naviaux , J C , Nugent , N R , Qin , X , Ressler , K J , Risbrough , V B , Rutten , B P F , Stein , M B , Ursano , R J , Vermetten , E , Vinkers , C H , Wang , L , Youssef , N A , Marx , C , Grant , G , Stein , M , Qin , X J , Jain , S , McAllister , T W , Zafonte , R , Lang , A , Coimbra , R , Andaluz , N , Shutter , L , George , M S , Brancu , M , Calhoun , P S , Dedert , E , Elbogen , E B , Fairbank , J A , Hurley , R A , Kilts , J D , Kirby , A , Marx , C E , McDonald , S D , Moore , S D , Morey , R A , Naylor , J C , Rowland , J A , Swinkels , C , Szabo , S T , Taber , K H , Tupler , L A , Van Voorhees , E E , Yoash-Gantz , R E , Basu , A , Brick , L A , Dalvie , S , Daskalakis , N P , Ensink , J B M , Hemmings , S M J , Herringa , R , Ikiyo , S , Koen , N , Kuan , P F , Montalvo-Ortiz , J , Nispeling , D , Pfeiffer , J , Qin , X J , Ressler , K J , Schijven , D , Seedat , S , Shinozaki , G , Sumner , J A , Swart , P , Tyrka , A , Van Zuiden , M , Wani , A , Wolf , E J , Zannas , A , Uddin , M , Nievergelt , C M , INTRuST Clinical Consortium , VA Mid-Atlantic MIRECC Workgroup & PGC PTSD Epigenetics Workgroup 2020 , ' Epigenome-wide meta-analysis of PTSD across 10 military and civilian cohorts identifies methylation changes in AHRR ' , Nature Communications , vol. 11 , no. 1 , 5965 . https://doi.org/10.1038/s41467-020-19615-x
Epigenetic differences may help to distinguish between PTSD cases and trauma-exposed controls. Here, we describe the results of the largest DNA methylation meta-analysis of PTSD to date. Ten cohorts, military and civilian, contribute blood-derived DNA methylation data from 1,896 PTSD cases and trauma-exposed controls. Four CpG sites within the aryl-hydrocarbon receptor repressor (AHRR) associate with PTSD after adjustment for multiple comparisons, with lower DNA methylation in PTSD cases relative to controls. Although AHRR methylation is known to associate with smoking, the AHRR association with PTSD is most pronounced in non-smokers, suggesting the result was independent of smoking status. Evaluation of metabolomics data reveals that AHRR methylation associated with kynurenine levels, which are lower among subjects with PTSD. This study supports epigenetic differences in those with PTSD and suggests a role for decreased kynurenine as a contributor to immune dysregulation in PTSD.
On January 2020, the WHO Director General declared that the outbreak constitutes a Public Health Emergency of International Concern. The world has faced a worldwide spread crisis and is still dealing with it. The present paper represents a white paper concerning the tough lessons we have learned from the COVID-19 pandemic. Thus, an international and heterogenous multidisciplinary panel of very differentiated people would like to share global experiences and lessons with all interested and especially those responsible for future healthcare decision making. With the present paper, international and heterogenous multidisciplinary panel of very differentiated people would like to share global experiences and lessons with all interested and especially those responsible for future healthcare decision making.