5 research outputs found

    Understanding the association between chromosomally integrated human herpesvirus 6 and HIV disease: a cross-sectional study [version 2; referees: 2 approved, 1 approved with reservations]

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    We conducted a cross-sectional investigation to identify evidence of a potential modifying effect of chromosomally integrated human herpes virus 6 (ciHHV-6) on human immunodeficiency virus (HIV) disease progression and/or severity. ciHHV-6 was identified by detecting HHV-6 DNA in hair follicle specimens of 439 subjects. There was no statistically significant relationship between the presence of ciHHV-6 and HIV disease progression to acquired immunodeficiency syndrome. However, after adjusting for use of antiretroviral therapy, all subjects with ciHHV-6 had low severity HIV disease; these findings were not statistically significant. A multi-center study with a larger sample size will be needed to more precisely determine if there is an association between ciHHV-6 and low HIV disease severity

    Obesity and Metabolic Dysregulation in Children Provide Protective Influenza Vaccine Responses

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    The most effective intervention for influenza prevention is vaccination. However, there are conflicting data on influenza vaccine antibody responses in obese children. Cardio-metabolic parameters such as waist circumference, cholesterol, insulin sensitivity, and blood pressure are used to subdivide individuals with overweight or obese BMI into ‘healthy’ (MHOO) or ‘unhealthy’ (MUOO) metabolic phenotypes. The ever-evolving metabolic phenotypes in children may be elucidated by using vaccine stimulation to characterize cytokine responses. We conducted a prospective cohort study evaluating influenza vaccine responses in children. Participants were identified as either normal-weight children (NWC) or overweight/obese using BMI. Children with obesity were then characterized using metabolic health metrics. These metrics consisted of changes in serum cytokine and chemokine concentrations measured via multiplex assay at baseline and repeated at one month following vaccination. Changes in NWC, MHOO and MUOO were compared using Chi-square/Fisher’s exact test for antibody responses and Kruskal–Wallis test for cytokines. Differences in influenza antibody responses in normal, MHOO and MUOO children were statistically indistinguishable. IL-13 was decreased in MUOO children compared to NWC and MHOO children (p = 0.04). IL-10 approached a statistically significant decrease in MUOO compared to MHOO and NWC (p = 0.07). Influenza vaccination does not provoke different responses in NCW, MHOO, or MUOO children, suggesting that obesity, whether metabolically healthy or unhealthy, does not alter the efficacy of vaccination. IL-13 levels in MUO children were significantly different from levels in normal and MHOO children, indicating that the metabolically unhealthy phenotypes may be associated with an altered inflammatory response. A larger sample size with greater numbers of metabolically unhealthy children may lend more insight into the relationship of chronic inflammation secondary to obesity with vaccine immunity

    Data on the presence of chromosomally integrated human herpes virus 6 (ciHHV-6) and human immunodeficiency virus (HIV) disease progression and severity

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    <p>Data on ciHHV-6 presence and HIV disease progression in 439 patients at the Infectious Diseases Clinic at Strong Memorial Hospital in Rochester, NY: PID: Subject identification<br>Studydob: Subject date of birth<br>Enrolldate: Subject date of enrollment<br>Gender: Subject gender<br>Med_provider: Subject’s HIV medical provider<br>Race: Subject self-identified race<br>Ethnicity: Subject self-identified ethnicity<br>HIV_Dx_Date: Subject’s date of HIV diagnosis<br>AIDS_Dx_Date: Patient’s date of AIDS diagnosis<br>Last_VL_Date: Subject’s date of most recent viral load<br>Last_VL: Subject’s most recent viral load<br>Last_CD4_Date: Subject’s date of most recent CD4+ T-cell count<br>Last_CD4: Subject’s most recent CD4+ T-cell count<br>ART Naïve: If subject is naïve to antiretroviral therapy – ‘yes’<br>CIHHV6Run2: Subject positive for qualitative PCR results – ‘1’<br>QuantPCR: Subject positive for quantitative PCR results – ‘1’</p> <p> </p> <p>Extraction tool used to collect data</p

    Dataset 1: Data on ciHHV-6 presence and HIV disease progression in 439 patients at the Infectious Diseases Clinic at Strong Memorial Hospital in Rochester, NY

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    PID: Subject identification; Last_VL: Subject’s most recent viral load; Last_CD4: Subject’s most recent CD4+ T-cell count;Last_CD4_%: Subject’s most recent CD4+ T-cell count percent; Time_to_progression: time (in years) between HIV diagnosis and AIDS diagnosis; Rapid Progressor: Less than two years to between HIV and AIDS diagnosis; ART Naïve: If subject is naïve to antiretroviral therapy – ‘yes’; CIHHV6Run2: Subject positive for qualitative PCR results – ‘1’; QuantPCR: Subject positive for quantitative PCR results – ‘1’

    Clinical phenotypes and outcomes in children with multisystem inflammatory syndrome across SARS-CoV-2 variant eras: a multinational study from the 4CE consortiumResearch in context

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    Summary: Background: Multisystem inflammatory syndrome in children (MIS-C) is a severe complication of SARS-CoV-2 infection. It remains unclear how MIS-C phenotypes vary across SARS-CoV-2 variants. We aimed to investigate clinical characteristics and outcomes of MIS-C across SARS-CoV-2 eras. Methods: We performed a multicentre observational retrospective study including seven paediatric hospitals in four countries (France, Spain, U.K., and U.S.). All consecutive confirmed patients with MIS-C hospitalised between February 1st, 2020, and May 31st, 2022, were included. Electronic Health Records (EHR) data were used to calculate pooled risk differences (RD) and effect sizes (ES) at site level, using Alpha as reference. Meta-analysis was used to pool data across sites. Findings: Of 598 patients with MIS-C (61% male, 39% female; mean age 9.7 years [SD 4.5]), 383 (64%) were admitted in the Alpha era, 111 (19%) in the Delta era, and 104 (17%) in the Omicron era. Compared with patients admitted in the Alpha era, those admitted in the Delta era were younger (ES −1.18 years [95% CI −2.05, −0.32]), had fewer respiratory symptoms (RD −0.15 [95% CI −0.33, −0.04]), less frequent non-cardiogenic shock or systemic inflammatory response syndrome (SIRS) (RD −0.35 [95% CI −0.64, −0.07]), lower lymphocyte count (ES −0.16 × 109/uL [95% CI −0.30, −0.01]), lower C-reactive protein (ES −28.5 mg/L [95% CI −46.3, −10.7]), and lower troponin (ES −0.14 ng/mL [95% CI −0.26, −0.03]). Patients admitted in the Omicron versus Alpha eras were younger (ES −1.6 years [95% CI −2.5, −0.8]), had less frequent SIRS (RD −0.18 [95% CI −0.30, −0.05]), lower lymphocyte count (ES −0.39 × 109/uL [95% CI −0.52, −0.25]), lower troponin (ES −0.16 ng/mL [95% CI −0.30, −0.01]) and less frequently received anticoagulation therapy (RD −0.19 [95% CI −0.37, −0.04]). Length of hospitalization was shorter in the Delta versus Alpha eras (−1.3 days [95% CI −2.3, −0.4]). Interpretation: Our study suggested that MIS-C clinical phenotypes varied across SARS-CoV-2 eras, with patients in Delta and Omicron eras being younger and less sick. EHR data can be effectively leveraged to identify rare complications of pandemic diseases and their variation over time. Funding: None
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