Standardized Ultrasound Measurement of Subcutaneous Fat Patterning: High Reliability and Accuracy in Groups Ranging from Lean to Obese

A recently standardized ultrasound technique for measuring subcutaneous adipose tissue (SAT) was applied to normal-weight, overweight and obese persons. Eight measurement sites were used: upper abdomen, lower abdomen, erector spinae, distal triceps, brachioradialis, lateral thigh, front thigh and medial calf. Fat compression was avoided. Fat patterning in 38 participants (body mass index: 18.6–40.3 kgm^?2; SAT thickness sums from eight sites: 12–245 mm) was evaluated using a software specifically designed for semi-automatic multiple thickness measurements in SAT (sound speed: 1450 m/s) that also quantifies embedded fibrous structures. With respect to ultrasound intra-observer results, the correlation coefficient ρ = 0.999 (p < 0.01), standard error of the estimate = 1.1 mm and 95% of measurements were within ±2.2 mm. For the normal-weight subgroup, the median measurement deviation was 0.43 mm (1.1% of mean thickness), and for the obese/overweight subgroup it was 0.89 mm (0.5%). The eight sites used here are suggested to represent inter-individual differences in SAT patterning. High measurement accuracy and reliability can be obtained in all groups, from lean to overweight and obese, provided that measurers are trained appropriately.     

Integration of a palliative care specialist in an amyotrophic lateral sclerosis clinic: Observations from one center

Palliative care specialists can aid in the care of patients with amyotrophic lateral sclerosis (ALS). In this article, we describe our 1-year experience incorporating a palliative care specialist into the ALS multidisciplinary team. We describe our integration model, patient selection, and visit content. Of 500 total clinic patients, 74 (14.8%) were seen by the palliative care specialist in 1 year. Referral was most often triggered by advance care planning needs (91%). In the initial visit with the palliative care specialist, topics most frequently covered included goals of care (84%), anxiety/depression (35%), and medical decision-making about feeding tubes (27%) or tracheostomy (31%). Symptom management comprised a relatively small number of the visits, and duration of visits was limited by patient fatigue. Patients with complex goals of care may benefit from the input of a palliative care specialist, and unique integration models may help to facilitate care delivery. Muscle Nerve 60 : 137–140, 2019     

Efficiently stimulated adult microglia cross‐prime naive CD8+ T cells injected in the brain

Microglia are the major myeloid‐immune cells of the brain parenchyma. In a steady state, microglia monitor their environment for pathogens or damaged cells. In response to neural injury or inflammation, microglia become competent APCs able to prime CD4⁺ and CD8⁺ T lymphocytes. We previously demonstrated that neonatal and adult microglia cross‐present exogenous soluble Ags in vitro. However, whether microglia are able to cross‐present Ag to naive CD8⁺ T cells in vivo, within the brain microenvironment, remains undetermined. Here, we have designed an original protocol in order to exclude the involvement in cross‐presentation activity of peripheral migrating APCs and of CNS‐associated APCs. In C57Bl/6 mice, in which the body but not the head has been properly irradiated, we analyzed the ability of resident microglia to stimulate intracerebrally injected CD8⁺ T cells in vivo. This study demonstrates for the first time that adult microglia cross‐present Ag to naive CD8⁺ T cells in vivo and that full microglia activation is required to overcome the inhibitory constrains of the brain and to render microglia able to cross‐prime naive CD8⁺ T cells injected in the brain. These observations offer new insights in brain‐tumor immunotherapy based on the induction of cytotoxic antitumoral T cells.     

Impact of intratumoral heterogeneity of breast cancer tissue on quantitative metabolomics using high‐resolution magic angle spinning 1H NMR spectroscopy

High‐resolution magic angle spinning (HR MAS) nuclear magnetic resonance (NMR) spectroscopy is increasingly being used to study metabolite levels in human breast cancer tissue, assessing, for instance, correlations with prognostic factors, survival outcome or therapeutic response. However, the impact of intratumoral heterogeneity on metabolite levels in breast tumor tissue has not been studied comprehensively. More specifically, when biopsy material is analyzed, it remains questionable whether one biopsy is representative of the entire tumor. Therefore, multi‐core sampling (n = 6) of tumor tissue from three patients with breast cancer, followed by lipid (0.9‐ and 1.3‐ppm signals) and metabolite quantification using HR MAS ¹H NMR, was performed, resulting in the quantification of 32 metabolites. The mean relative standard deviation across all metabolites for the six tumor cores sampled from each of the three tumors ranged from 0.48 to 0.74. This was considerably higher when compared with a morphologically more homogeneous tissue type, here represented by murine liver (0.16–0.20). Despite the seemingly high variability observed within the tumor tissue, a random forest classifier trained on the original sample set (training set) was, with one exception, able to correctly predict the tumor identity of an independent series of cores (test set) that were additionally sampled from the same three tumors and analyzed blindly. Moreover, significant differences between the tumors were identified using one‐way analysis of variance (ANOVA), indicating that the intertumoral differences for many metabolites were larger than the intratumoral differences for these three tumors. That intertumoral differences, on average, were larger than intratumoral differences was further supported by the analysis of duplicate tissue cores from 15 additional breast tumors. In summary, despite the observed intratumoral variability, the results of the present study suggest that the analysis of one, or a few, replicates per tumor may be acceptable, and supports the feasibility of performing reliable analyses of patient tissue.