MarShie: a clearing protocol for 3D analysis of single cells throughout the bone marrow at subcellular resolution

Analyzing immune cell interactions in the bone marrow is vital for understanding hematopoiesis and bone homeostasis. Three-dimensional analysis of the complete, intact bone marrow within the cortex of whole long bones remains a challenge, especially at subcellular resolution. We present a method that stabilizes the marrow and provides subcellular resolution of fluorescent signals throughout the murine femur, enabling identification and spatial characterization of hematopoietic and stromal cell subsets. By combining a pre-processing algorithm for stripe artifact removal with a machine-learning approach, we demonstrate reliable cell segmentation down to the deepest bone marrow regions. This reveals age-related changes in the marrow. It highlights the interaction between CX3CR1+ cells and the vascular system in homeostasis, in contrast to other myeloid cell types, and reveals their spatial characteristics after injury. The broad applicability of this method will contribute to a better understanding of bone marrow biology.

Minimising activity and dose with enhanced image quality by radiopharmaceutical administrations

Owing to the introduction of new diagnostic procedures, such as computed tomography (CT), positron emission tomography (PET) and single photon emission computed tomography (SPECT), the individual dose caused by medical exposures has grown rapidly in the last years. This is especially a subject to radiation protection for nuclear medical diagnosis, since in this case radiopharmaceuticals are administered to the patient, meaning not only a radiation exposure to the diseased tissue but also to the healthy tissues of large parts of the body. 'Minimizing Activity and Dose with Enhanced Image quality by Radiopharmaceutical Administrations' (MADEIRA) is a project cofunded by the European Commission within the Seventh Euratom Framework Programme that aims to improve three-dimensional (3D) nuclear medical imaging technologies significantly. MADEIRA is aiming to improve the efficacy and safety of 3D PET and SPECT functional imaging by optimising the spatial resolution and the signal-to-noise ratio, improving the knowledge of the temporal variation of the radiopharmaceuticals' uptake in and clearance from tumourous and healthy tissues, and evaluation of the corresponding patient dose. Using an optimised imaging procedure that improves the information gained per unit administered dose, MADEIRA aims especially to reduce the dose to healthy tissues of the patient. In this paper, an overall summary of the current achievements will be presented.

West Nile virus infection in birds and mosquitoes, New York State, 2000

West Nile (WN) virus was found throughout New York State in 2000, with the epicenter in New York City and surrounding counties. We tested 3,403 dead birds and 9,954 mosquito pools for WN virus during the transmission season. Sixty-three avian species, representing 30 families and 14 orders, tested positive for WN virus. The highest proportion of dead birds that tested positive for WN virus was in American Crows in the epicenter (67% positive, n=907). Eight mosquito species, representing four genera, were positive for WN virus. The minimum infection rate per 1,000 mosquitoes (MIR) was highest for Culex pipiens in the epicenter: 3.53 for the entire season and 7.49 for the peak week of August 13. Staten Island had the highest MIR (11.42 for Cx. pipiens), which was associated with the highest proportion of dead American Crows that tested positive for WN virus (92%, n=48) and the highest number of human cases (n=10).

Can we monitor socioeconomic inequalities in health? A survey of U.S. health departments' data collection and reporting practices

OBJECTIVE

To evaluate the potential for and obstacles to routine monitoring of socioeconomic inequalities in health using U.S. vital statistics and disease registry data, the authors surveyed current data collection and reporting practices for specific socioeconomic variables.

METHODS

In 1996 the authors mailed a self-administered survey to all of the 55 health department vital statistics offices reporting data to the National Center for Health Statistics (NCHS) to determine what kinds of socioeconomic data they collected on birth and death certificates and in cancer, AIDS, and tuberculosis (TB) registries and what kinds of socioeconomic data were routinely reported in health department publications.

RESULTS

Health departments routinely obtained data on occupation on death certificates and in most cancer registries. They collected data on educational level for both birth and death certificates. None of the databases collected information on income, and few obtained data on employment status, health insurance carrier, or receipt of public assistance. When socioeconomic data were collected, they were usually not included in published reports (except for mothers educational level in birth certificate data). Obstacles cited to collecting and reporting socioeconomic data included lack of resources and concerns about the confidentiality and accuracy of data. All databases, however, included residential addresses, suggesting records could be geocoded and linked to Census-based socioeconomic data.

CONCLUSIONS

U.S. state and Federal vital statistics and disease registries should routinely collect and publish socioeconomic data to improve efforts to monitor trends in and reduce social inequalities in health.