Unraveling the molecular architecture of autoimmune thyroid diseases at spatial resolution.

Autoimmune thyroid diseases (AITD) such as Graves' disease (GD) or Hashimoto's thyroiditis (HT) are organ-specific diseases that involve complex interactions between distinct components of thyroid tissue. Here, we use spatial transcriptomics to explore the molecular architecture, heterogeneity and location of different cells present in the thyroid tissue, including thyroid follicular cells (TFCs), stromal cells such as fibroblasts, endothelial cells, and thyroid infiltrating lymphocytes. We identify damaged antigen-presenting TFCs with upregulated CD74 and MIF expression in thyroid samples from AITD patients. Furthermore, we discern two main fibroblast subpopulations in the connective tissue including ADIRF+ myofibroblasts, mainly enriched in GD, and inflammatory fibroblasts, enriched in HT patients. We also demonstrate an increase of fenestrated PLVAP+ vessels in AITD, especially in GD. Our data unveil stromal and thyroid epithelial cell subpopulations that could play a role in the pathogenesis of AITD.

Primary Cilia as a Tumor Marker in Pituitary Neuroendocrine Tumors.

Pituitary neuroendocrine tumors (PitNETs) account for approximately 15% of all intracranial neoplasms. Although they usually appear to be benign, some tumors display worse behavior, displaying rapid growth, invasion, refractoriness to treatment, and recurrence. Increasing evidence supports the role of primary cilia (PC) in regulating cancer development. Here, we showed that PC are significantly increased in PitNETs and are associated with increased tumor invasion and recurrence. Serial electron micrographs of PITNETs demonstrated different ciliation phenotypes (dot-like versus normal-like cilia) that represented PC at different stages of ciliogenesis. Molecular findings demonstrated that 123 ciliary-associated genes (eg, doublecortin domain containing protein 2, Sintaxin-3, and centriolar coiled-coil protein 110) were dysregulated in PitNETs, representing the upregulation of markers at different stages of intracellular ciliogenesis. Our results demonstrate, for the first time, that ciliogenesis is increased in PitNETs, suggesting that this process might be used as a potential target for therapy in the future.

A prospective study to assess the impact of a novel CFTR therapy combination on body composition in patients with cystic fibrosis with F508del mutation.

BACKGROUND & AIM: Malnutrition is a prevalent condition in Cystic Fibrosis (CF) and can result in worsening of pulmonary function and other comorbidities. Cystic fibrosis transmembrane regulator (CFTR) modulator therapies are improving the CF-related care and outcomes. Body Mass Index (BMI) is the most commonly used parameter to assess nutritional status, albeit it is a very unspecific indicator. Hence, current guidelines recommend body composition analysis as a part of nutritional assessment. The aim of our study was to evaluate the impact of elexacaftor-tezacaftor-ivacaftor (ELX/TEZ/IVA) treatment on body composition and respiratory function. METHODS: We recruited patients with CF from University Hospital La Princesa, with follow-up in the Adult Cystic Fibrosis Unit. All patients were eligible to initiate ELX/TEZ/IVA therapy. Body composition was assessed with a Bioelectrical Impedance Analysis (BIA) and spirometry data were obtained before and after 6 months of treatment. RESULTS: Our study sample was composed of 36 patients with CF. We observed a significant increase in BMI after 6 months of treatment (p < 0.001), as well as an increase in fat mass (p = 0.008) and visceral fat area (p = 0.026). The other body composition parameters did not yield significant changes. Overall, %FEV1 increased from 72.67 % (±17.39) to 84.74 % (±18.18) after 6 months of treatment. Interestingly, we found an inverse correlation between %FEV1 and fat mass (r = -0,476; p = 0,0058), %FEV1 and age (r = -0,411; p = 0,0196) and between %FEV1 and visceral fat area (r = -0,515; p = 0,0025). On the contrary, we found a direct correlation between %FEV1 and body cell mass (r = 0,367; p = 0,038). CONCLUSIONS: Novel CFTR modulators are emerging for the treatment of CF. Specifically, triple combination with ELX/TEZ/IVA has shown to effectively improve both pulmonary and nutritional status in patients with CF with F508del mutation. Body composition should be a part of the routine assessment for patients with CF.