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Biomedical subjects

Andreas Heinzel

Publications and source records attributed to Andreas Heinzel.

2 recordsLinked to original sources

Human and mouse adrenal glands are characterized by species-specific steroidogenic states and tissue turnover.

The adult adrenal cortex undergoes constant renewal, yet underlying human-specific mechanisms remain poorly understood. Here we generated single-cell and spatial transcriptomic atlases of adult human and mouse adrenal glands, leveraging single-cell-resolution spatial data and a rare clonal mosaic case for lineage inference. In humans, we identified age-associated zona glomerulosa (ZG) cell states with direct cortisol synthesis capacity and sex-specific differences in inferred cholesterol balance. Cross-species comparison revealed conserved aldosterone-producing ZG but notable divergence in zona fasciculata markers, absence of zona reticularis homologs in mice and differential SHH-WNT4 signaling in proliferating cells. We uncovered human WT1- capsule-to-ZG transition and vascular smooth muscle cell-to-steroidogenic transitions supported by mosaic lineage evidence. We revealed dispersed proliferating cortical SF1+EZH2+ cells throughout the human cortex in contrast with ZG restriction in mice. Taken together, our data expand the centripetal renewal model and establish a comparative framework for human adrenocortical biology.

Animals

The combined impact of HLA and non-HLA mismatch between donors and recipients on kidney transplant survival: a genomic analysis in a prospective cohort.

BACKGROUND: Kidney transplantation outcomes are strongly influenced by immunological compatibility between donor and recipient. While genetic mismatches in the human leukocyte antigen (HLA) region have long been recognised as key determinants of graft survival, increasing evidence, including our own previous work, suggests that non-HLA alloimmunity also plays a critical role. METHODS: We sequenced exomes of deceased kidney donor and recipient pairs in the prospective kidney transplant cohort at the Vienna General Hospital, recruited between January 1, 2012, and June 15, 2023. Out of 1209 pairs, 1187 passed quality control for analysis. Non-HLA mismatch was computed by considering non-synonymous single nucleotide polymorphisms specifically encoding trans-cell membrane or secreted proteins in the kidney (nsSNP-tcmsk). Using adjusted Cox proportional hazards models, we replicated results from our earlier work in recipients with primary graft function after 90 days, and extended the analysis to the combination of nsSNP-tcmsk with eplet mismatch to assess their associations with graft loss in the full cohort. FINDINGS: Of 20,421 human proteins, 2371 were considered for the nsSNP-tcmsk score. In our replication analysis we estimated for nsSNP-tcmsk a hazard ratio (HR) of 1.33 (95% CI 1.02-1.74) for graft loss per increase of one interquartile range. The nsSNP-tcmsk and eplet mismatch were uncorrelated (Spearman correlation coefficient 0.02, p = 0.47). A composite score of nsSNP-tcmsk and eplet mismatch was associated with graft loss with a HR of 1.76 (95% CI 1.20-2.57) corresponding to an absolute difference in 7-year restricted mean survival time between the first and fourth quartiles of 0.52 years (95% CI 0.16-0.87 years). INTERPRETATION: The impact of non-HLA donor-recipient mismatch on transplant loss is of the same magnitude as established mismatch scores in the HLA region. Together, these scores may be further validated as guiding markers for the required strength of maintenance immunosuppression. FUNDING: Vienna Science and Technology Fund, NIH/NIAID.

Humans