Release of CD36-associated cell-free mitochondrial DNA and RNA as a hallmark of space environment response.

A detailed understanding of how spaceflight affects human health is essential for long-term space exploration. Liquid biopsies allow for minimally-invasive multi-omics assessments that can resolve the molecular heterogeneity of internal tissues. Here, we report initial results from the JAXA Cell-Free Epigenome Study, a liquid biopsy study with six astronauts who resided on the International Space Station (ISS) for more than 120 days. Analysis of plasma cell-free RNA (cfRNA) collected before, during, and after spaceflight confirms previously reported mitochondrial dysregulation in space. Screening with 361 cell surface marker antibodies identifies a mitochondrial DNA-enriched fraction associated with the scavenger receptor CD36. RNA-sequencing of the CD36 fraction reveals tissue-enriched RNA species, suggesting the plasma mitochondrial components originated from various tissues. We compare our plasma cfRNA data to mouse plasma cfRNA data from a previous JAXA mission, which had used on-board artificial gravity, and discover a link between microgravity and the observed mitochondrial responses.

The difficulty of nuclear emergency prevention measures during natural disasters: ongoing challenges in Japan.

It is crucial to anticipate nuclear emergency scenarios and implement effective measures. Japan's climate and topography make it vulnerable to natural disasters; thus, it is necessary to address compounding and cascading disaster scenarios involving the simultaneous occurrence of natural and nuclear disasters. On 1 January 2024, an earthquake hit the Noto region of Ishikawa Prefecture, resulting in damage to the area around the Shika Nuclear Power Plant, located 90 km from the epicenter. This earthquake revealed that, in the event of a complex disaster, it is possible that residents living within 30 km of the Shika Nuclear Power Plant will be completely unprepared for a nuclear disaster. In the event of a complex disaster, it is crucial to implement appropriate countermeasures while balancing responses to both nuclear and natural disasters and optimizing radiation disaster prevention measures.

Modeling and predicting individual variation in COVID-19 vaccine-elicited antibody response in the general population.

As we learned during the COVID-19 pandemic, vaccines are one of the most important tools in infectious disease control. To date, an unprecedentedly large volume of high-quality data on COVID-19 vaccinations have been accumulated. For preparedness in future pandemics beyond COVID-19, these valuable datasets should be analyzed to best shape an effective vaccination strategy. We are collecting longitudinal data from a community-based cohort in Fukushima, Japan, that consists of 2,407 individuals who underwent serum sampling two or three times after a two-dose vaccination with either BNT162b2 or mRNA-1273. Using the individually reconstructed time courses of the vaccine-elicited antibody response based on mathematical modeling, we first identified basic demographic and health information that contributed to the main features of the antibody dynamics, i.e., the peak, the duration, and the area under the curve. We showed that these three features of antibody dynamics were partially explained by underlying medical conditions, adverse reactions to vaccinations, and medications, consistent with the findings of previous studies. We then applied to these factors a recently proposed computational method to optimally fit an "antibody score", which resulted in an integer-based score that can be used as a basis for identifying individuals with higher or lower antibody titers from basic demographic and health information. The score can be easily calculated by individuals themselves or by medical practitioners. Although the sensitivity of this score is currently not very high, in the future, as more data become available, it has the potential to identify vulnerable populations and encourage them to get booster vaccinations. Our mathematical model can be extended to any kind of vaccination and therefore can form a basis for policy decisions regarding the distribution of booster vaccines to strengthen immunity in future pandemics.

A 9-Year Investigation of Healthcare Industry Payments to Pulmonologists in the United States.

Rationale: The healthcare industry sometimes makes payments to physicians for nonresearch and research purposes in the United States. Objectives: We aimed to evaluate the trends in nonresearch and research industry payments to pulmonologists since the inception of the Open Payments database in 2013. Methods: Using the Open Payments database between August 2013 and December 2021, this population-based observational cohort study examined nonresearch and research payments made by the healthcare industry to pulmonologists registered in the National Plan and Provider Enumeration System in the United States. We performed descriptive analyses on payment data and generalized estimating equations for payment trends. Results: Of 12,488 active pulmonologists, 11,074 (88.7%) accepted a total of 2,246,412 payments totaling $1,053,344,669. Total payments were $253,405,965 (24.1%) in nonresearch, $17,382,904 (1.7%) in direct research, and $782,555,800 (74.3%) in associated research payments between 2013 and 2021. Median per-physician payments (interquartile range) were $2,342 ($496 to $8,299) for nonresearch, $4,688 ($1,435 to $21,803) for direct research, and $95,927 ($20,300 to $344,995) for associated research payments. The top 1%, 5%, and 10% of pulmonologists accepted 37.3%, 71.9%, and 83.7% of the total nonresearch payments. The per-physician nonresearch payments increased by 2.9% (95% confidence interval [CI], 1.2 to 4.7; P = 0.001) annually between 2014 and 2019 and decreased by 50.2% (95% CI, -55.3 to -44.6; P < 0.001) in 2020, whereas there was no yearly change in research payments. Conclusions: Nearly 90% of pulmonologists received nonresearch and research payments from the healthcare industry in the United States. Nonresearch payments have been increasing since the inception of the Open Payments database.

Effectiveness of the Booster of SARS-CoV-2 Vaccine among Japanese Adolescents: A Cohort Study.

Vaccination is effective in preventing COVID-19-related hospitalization among all age groups, but there is limited evidence on the effectiveness of the booster of the SARS-CoV-2 vaccine among adolescents. We analyzed the data on the status of SARS-CoV-2 infection and their vaccination profiles in adolescents aged 13-18 years in Soma city (Fukushima, Japan) (n = 1835) from 14 May to 15 June 2022. The crude incidence rate and 95% confidence interval were calculated with the negative-binomial regression model after classifying the immunization status. The crude effectiveness of a booster administration to prevent infections was estimated as 86.4% (95% confidence interval: 57.2-95.7) when compared with the primary vaccination alone. The results of this study support that the community-based mass vaccination campaign of a booster dose among adolescents has additional protection from COVID-19 during the period of the B.1.1.529 (omicron) variant wave.