A5032085445- COVID-19 Clinical Research Studies
- Long-Term Effects of COVID-19
- COVID-19 and healthcare impacts
- COVID-19 Impact on Reproduction
- Global Maternal and Child Health
- Pregnancy and preeclampsia studies
- COVID-19 and Mental Health
- SARS-CoV-2 and COVID-19 Research
- Child and Adolescent Psychosocial and Emotional Development
- Biomedical Text Mining and Ontologies
- Maternal Mental Health During Pregnancy and Postpartum
- Epigenetics and DNA Methylation
- Vaccine Coverage and Hesitancy
- Single-cell and spatial transcriptomics
- Data Quality and Management
- Diabetes and associated disorders
- Cancer-related molecular mechanisms research
- Sepsis Diagnosis and Treatment
- Inflammasome and immune disorders
- Scientific Computing and Data Management
- Bioinformatics and Genomic Networks
- Prenatal Screening and Diagnostics
- Topic Modeling
- Pregnancy and Medication Impact
- Tryptophan and brain disorders
Institute for Systems Biology
2020-2024
InSysBio (Russia)
2020-2024
Post-acute sequelae of COVID-19 (PASC) represent an emerging global crisis. However, quantifiable risk factors for PASC and their biological associations are poorly resolved. We executed a deep multi-omic, longitudinal investigation 309 patients from initial diagnosis to convalescence (2-3 months later), integrated with clinical data patient-reported symptoms. resolved four PASC-anticipating at the time diagnosis: type 2 diabetes, SARS-CoV-2 RNAemia, Epstein-Barr virus viremia, specific...
We present an integrated analysis of the clinical measurements, immune cells, and plasma multi-omics 139 COVID-19 patients representing all levels disease severity, from serial blood draws collected during first week infection following diagnosis. identify a major shift between mild moderate disease, at which point elevated inflammatory signaling is accompanied by loss specific classes metabolites metabolic processes. Within this stressed environment multiple unusual cell phenotypes emerge...
The impact of maternal SARS-CoV-2 infection remains unclear. In this study, we evaluated the risk on birth outcomes and how is modulated by pregnancy trimester in which occurs. We also developed models to predict gestational age at delivery for people following a during pregnancy.
Abstract Background Data on the characteristics of coronavirus disease 2019 (COVID-19) patients disaggregated by race/ethnicity remains limited. We evaluated sociodemographic and clinical across racial/ethnic groups assessed their associations with COVID-19 outcomes. Methods This retrospective cohort study examined 629 953 tested for severe acute respiratory syndrome 2 (SARS-CoV-2) in a large health system spanning California, Oregon, Washington between March 1 December 31, 2020....
Abstract Risk stratification for hospitalized adults with COVID-19 is essential to inform decisions about individual patients and allocation of resources. So far, risk models severe COVID outcomes have included age but not been optimized best serve the needs either older or younger adults. Models also need be updated reflect improvements in treatments. This retrospective study analyzed data from 6906 a community health system across five states western United States. were developed predict...
COVID-19 in pregnant people increases the risk for poor maternal-fetal outcomes. However, vaccination hesitancy remains due to concerns over vaccine's potential effects on Here we examine impact of and boosters maternal SARS-CoV-2 infections birth
Gene regulation is essential to placental function and fetal development. We built a genome-scale transcriptional regulatory network (TRN) of the human placenta using digital genomic footprinting transcriptomic data. integrated 475 transcriptomes 12 DNase hypersensitivity datasets from samples globally quantitatively map transcription factor (TF)-target gene interactions. In an independent dataset, TRN model predicted target expression with out-of-sample
Abstract Background The impact of remdesivir (RDV) on mortality rates in coronavirus disease 2019 (COVID-19) is controversial, and the effect subgroups baseline severity has been incompletely explored. purpose this study was to assess association RDV with patients COVID-19. Methods In retrospective cohort we compared persons receiving those best supportive care (BSC). Patients hospitalized between 28 February May 2020 laboratory-confirmed severe acute respiratory syndrome 2 infection were...
Objective There is uncertainty around the safety of SSRIs for treating depression during pregnancy. Nevertheless, use has been gradually increasing, especially COVID-19 pandemic period. We aimed to (1) characterize maternal rate and in a recent 10-year period, (2) address confounding by indication, as well socioeconomic environmental factors, (3) evaluate associations timing SSRI exposure pregnancy with risk preterm birth (PTB), low birthweight (LBW), small gestational age (SGA) infants...
SUMMARY Host immune responses play central roles in controlling SARS-CoV2 infection, yet remain incompletely characterized and understood. Here, we present a comprehensive response map spanning 454 proteins 847 metabolites plasma integrated with single-cell multi-omic assays of PBMCs which whole transcriptome, 192 surface proteins, T B cell receptor sequence were co-analyzed within the context clinical measures from 50 COVID19 patient samples. Our study reveals novel cellular subpopulations,...
COVID-19 infection in pregnant people has previously been shown to increase the risk for poor maternal-fetal outcomes. Despite this, there a lag vaccination due concerns over potential effects of vaccine on Here we examine impact and booster maternal breakthrough infections birth
Background: Data on the characteristics of COVID-19 patients disaggregated by race/ethnicity remain limited. We evaluated sociodemographic and clinical across major racial/ethnic groups assessed their associations with outcomes.Methods: This retrospective cohort study analyzed who were tested for SARS-CoV-2 in a large, integrated health system spanning California, Oregon, Washington between March 1 August 30, 2020. Sociodemographic obtained from electronic records. Odds infection,...
Angiotensin-converting enzyme inhibitors (ACEi) and angiotensin-II receptor blockers (ARB), the most commonly prescribed antihypertensive medications, counter renin-angiotensin-aldosterone system (RAAS) activation via induction of angiotensin-converting 2 (ACE2) expression. Considering that ACE2 is functional for SARS-CoV-2 entry into host cells, association ACEi ARB with COVID-19 outcomes needs thorough evaluation.We conducted retrospective analyses using both unmatched propensity score...
Abstract Background Data on the characteristics of COVID-19 patients disaggregated by race/ethnicity remain limited. We evaluated sociodemographic and clinical across racial/ethnic groups assessed their associations with outcomes. Methods This retrospective cohort study examined 629,953 tested for SARS-CoV-2 in a large health system spanning California, Oregon, Washington between March 1 December 31, 2020. Sociodemographic were obtained from electronic records. Odds infection,...
Host immune responses play central roles in controlling SARS-CoV2 infection, yet remain incompletely characterized and understood. Here, we present a comprehensive response map spanning 454 proteins 847 metabolites plasma integrated with single-cell multi-omic assays of 221,748 PBMCs which whole transcriptome, 192 surface proteins, T B cell receptor sequence were analyzed within the context clinical measures from 50 COVID19 patient samples. Our study reveals novel cellular subpopulations,...
As large clinical and multiomics datasets knowledge resources accumulate, they need to be transformed into computable actionable information support automated reasoning. These range from laboratory experiment results electronic health records (EHRs). Barriers accessibility sharing of such include diversity content, size privacy. Effective transformation data requires harmonization stakeholder goals, implementation, enforcement standards regarding quality completeness, availability for...
ABSTRACT Gene regulation is essential to placental function and fetal development. We report a genome-scale transcriptional regulatory network (TRN) of the human placenta built using digital genomic footprinting transcriptomic data. integrated 475 transcriptomes 12 DNase hypersensitivity datasets from samples globally quantitatively map transcription factor (TF)-target gene interactions. In an independent dataset, TRN model predicted target expression with out sample R 2 value greater than...
Background: SARS-CoV-2 infection in pregnant people has previously been shown to increase the risk for poor maternal-fetal outcomes. Despite this there a lag COVID-19 vaccination due concerns over any potential effect of vaccine on Here we examine impact maternal breakthrough infections and birth outcomes.Methods: This was retrospective multicenter cohort study outcomes that delivered (n=74,643) at Providence St. Joseph Health across Alaska, California, Montana, Oregon, New Mexico, Texas,...
Abstract Purpose There is uncertainty around the safety of SSRIs for treating depression during pregnancy. We aimed 1) to address confounding by indication, as well socioeconomic and environmental factors associated with 2) evaluate associations timing SSRI exposure in pregnancy risk preterm birth related outcomes (small gestational age low birthweight) among women before Methods conducted propensity score-adjusted regression calculate odds ratios (OR) birth, small age, weight. accounted...
Abstract Background Risk stratification for hospitalized adults with COVID-19 is essential to inform decisions individual patients and allocation of potentially scarce resources. So far, risk models severe COVID outcomes have included age but not been optimized best serve the needs either older or younger adults. Additionally, existing limited small sample sizes, modeling mortality over an entire hospital admission. Further, previous were developed on data from early in pandemic, before...