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Threading the Pieces Together: Integrative Perspective on SARS-CoV-2.

ABSTRACT: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has challenged the research community globally to innovate, interact, and integrate findings across hierarchies. Research on SARS-CoV-2 has produced an abundance of data spanning multiple parallels, including clinical data, SARS-CoV-2 genome architecture, host response captured through transcriptome and genetic variants, microbial co-infections (metagenome), and comorbidities. Disease phenotypes in the case of COVID-19 present an intriguing complexity that includes a broad range of symptomatic to asymptomatic individuals, further compounded by a vast heterogeneity within the spectrum of clinical symptoms displayed by the symptomatic individuals. The clinical outcome is further modulated by the presence of comorbid conditions at the point of infection. The COVID-19 pandemic has produced an expansive wealth of literature touching many aspects of SARS-CoV-2 ranging from causal to outcome, predisposition to protective (possible), co-infection to comorbidity, and differential mortality globally. As challenges provide opportunities, the current pandemic's challenge has underscored the need and opportunity to work for an integrative approach that may be able to thread together the multiple variables. Through this review, we have made an effort towards bringing together information spanning across different domains to facilitate researchers globally in pursuit of their response to SARS-CoV-2.

SUBMITTER: Kanakan A

PROVIDER: S-EPMC7694192 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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Threading the Pieces Together: Integrative Perspective on SARS-CoV-2.

Kanakan Akshay A Mishra Neha N Srinivasa Vasudevan Janani J Sahni Shweta S Khan Azka A Sharma Sachin S Pandey Rajesh R

Pathogens (Basel, Switzerland) 20201104 11

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has challenged the research community globally to innovate, interact, and integrate findings across hierarchies. Research on SARS-CoV-2 has produced an abundance of data spanning multiple parallels, including clinical data, SARS-CoV-2 genome architecture, host response captured through transcriptome and genetic variants, microbial co-infections (metagenome), and comorbidities. Disease phenotypes in the case of COVID-19 pre ...[more]

PMID: 33158051

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Project description:BackgroundConflicting research emphasizes depression, diabetes distress, or well-being in relation to diabetes self-care and risk for poor health outcomes.PurposeThe purpose of this study was to test whether a latent variable for general psychological distress derived from shared variance of depression symptoms, diabetes distress, and well-being predicts a latent variable of diabetes self-care and to examine evidence for unique effects once shared effects are adjusted for.MethodsAdults with suboptimally controlled diabetes were recruited from the South Bronx, NY, for a telephonic diabetes self-management support trial. Baseline diabetes self-care, medication adherence, depression symptoms, diabetes distress, and well-being were measured by validated self-report. Structural equation modeling specified a latent variable for general psychological distress derived from shared variance of depression symptoms, diabetes distress, and well-being. Diabetes self-care was a latent variable indicated by diet, glucose self-monitoring, and medication adherence.ResultsParticipants (N = 627, 65% female) were predominantly ethnic minority (70% Hispanic; 45% Black) and 77% reported household income <$20K/year. Mean (standard deviation) age = 56 (12) years; A1c = 9.1% (1.9%); body mass index = 32 (8) kg/m2. The latent variable for psychological distress was a robust predictor of poorer diabetes self-care (coefficient = -0.59 [confidence interval = -0.71, -0.46], p < .001) with good model fit. Unique paths from depression symptoms, diabetes distress, and well-being (all ps > .99) to self-care were not observed.ConclusionsIn this population of disadvantaged adults with suboptimally controlled diabetes, general psychological distress was strongly associated with poorer diabetes self-care and fully accounted for the effects of depression, diabetes distress, and positive well-being. This suggests that general distress may underlie previously reported associations between these constructs and diabetes self-care.

Dataset Information

Threading the Pieces Together: Integrative Perspective on SARS-CoV-2.

Publications

Threading the Pieces Together: Integrative Perspective on SARS-CoV-2.

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