Biology subjects

Conti, G.

Publications and source records attributed to Conti, G..

6 recordsLinked to original sources

bioRxiv2026

Sexual Dimorphism of Cancer-Associated Fibroblasts Governs Matrix and Vascular Organisation in Breast Cancer

Breast cancer (BC) shows greatest sexual diversity. Increased diagnosis and poorer outcomes in men highlights the need to better understand its biology. We hypothesised that cancer-associated fibroblasts (CAFs), the most abundant cell type in the tumour microenvironment, might define sex-related differences. Using phenotypically matched male and female CAFs generated from breast cancer tissues, we demonstrate distinct transcriptional programmes and functional behaviours associated with extracellular matrix remodelling, cell adhesion, migration and vascular development. Compared to CAFs generated from females BC, those from males generated denser, more complex matrices promoting stronger tumour and endothelial cell adhesion, vascular growth, but less organised capillary network formation. Findings reveal fundamental sex-related variations in CAF phenotype and biology in BC. These findings highlight the need to integrate biological sex into precision oncology to identify opportunities for sex-specific therapeutic strategies in BC.

cancer biology↗

bioRxiv2026

Primary Hyperparathyroidism Reveals Limited Adipose Remodeling in Human

BackgroundPreclinical models implicate the parathyroid hormone/parathyroid-hormone-related protein (PTH/PTHrP)-PTH1 receptor (PTH1R) axis in adipocyte lipolysis, adipose browning, and energy wasting. Whether this catabolic program is reproduced in vivo in humans remains unresolved. Primary hyperparathyroidism (PHPT), a condition of chronic endogenous PTH excess, provides a clinically relevant model to test the translational relevance of this pathway. MethodsWe combined population-scale analyses with a prospective human intervention study. PTH/PTH1R associations with body composition were evaluated in the UK Biobank and compared with PTH dynamics in cancer-associated cachexia using TRACERx proteomic data. In parallel, patients with PHPT were assessed before and after parathyroidectomy and compared with matched surgical controls. Biochemical parameters, circulating adipocytokines, DXA- and BIA-derived body composition, histology, UCP1 immunohistochemistry, and supraclavicular adipose tissue transcriptomic and proteomic profiles were integrated, with external validation in an independent supraclavicular adipose dataset. ResultsIn the UK Biobank, apparent positive associations between circulating PTH/PTH1R signals and fat or lean mass were markedly attenuated after matching for age, sex, and BMI, arguing against a disease-specific adiposity effect of PHPT. In TRACERx, circulating PTH did not increase across BMI-adjusted weight-loss grades. In the prospective cohort, parathyroidectomy normalized PTH, calcium, and phosphate but did not induce coherent changes in glucose metabolism, lipid profile, inflammatory markers, body weight, fat mass, lean mass, or thermogenic adipose signatures. Supraclavicular adipose histology, UCP1 staining, RNA-seq, proteomics, pathway analysis, and external dataset reanalysis converged on the absence of browning or thermogenic activation. By contrast, PHPT was associated with a selective adipose-related secretory phenotype: adiponectin, adipsin, and retinol-binding protein 4 were reversible after surgery, whereas lipocalin- 2 and thrombospondin-1 remained elevated. ConclusionsChronic endogenous PTH excess is not sufficient to induce a detectable thermogenic or energy- dissipating adipose program in humans under basal clinical conditions. These findings challenge direct extrapolation from rodent PTH/PTHrP models and reposition the human PTH-adipose axis as a selective secretory and remodeling pathway rather than a dominant driver of adipose browning or wasting. HighlightsO_LIPHPT provides an in vivo human model of chronic endogenous PTH excess. C_LIO_LIPTH/PTH1R associations with body composition are lost after stringent confounder control. C_LIO_LIParathyroidectomy normalizes mineral metabolism without inducing adipose browning or wasting. C_LIO_LISupraclavicular adipose histology, UCP1 staining, transcriptomics, and proteomics show no thermogenic activation. C_LIO_LIPHPT unmasks a selective adipose-related secretory signature with reversible and persistent components. C_LI

physiology↗

bioRxiv2025

Beyond species means - the intraspecific contribution to global wood density variation

Wood density is central for estimating vegetation carbon storage and a plant functional trait of great ecological and evolutionary importance. However, the global extent of wood density variation is unclear, especially at the intraspecific level. We assembled the most comprehensive wood density collection to date (GWDD v.2), including 109,626 records from 16,829 plant species across woody life forms and biomes. Using the GWDD v.2, we explored the sources of variation in wood density within individuals, within species, and across environmental gradients. Intraspecific variation accounted for up to 15% of overall wood density variation (sd = 0.068 g cm-3). Sapwood densities varied 50% less than heartwood densities, and branchwood densities varied 30% less than trunkwood densities. Individuals in extreme environments (dry, hot, acidic soils) had higher wood density than conspecifics elsewhere (+0.02 g cm-3, [~]4% of the mean). Intraspecific environmental effects strongly tracked interspecific patterns (r = 0.83) but were only 20-30% as large and varied considerably among taxa. Individual plant wood density was difficult to predict (RMSE > 0.08 g cm-3; single-measurement R2 = 0.59). We recommend (i) systematic within-species sampling for local applications, and (ii) expanded taxonomic coverage combined with integrative models for robust estimates across ecological scales.

plant biology↗

bioRxiv2025

A global map of wood density

Wood density influences how quickly woody plants grow, how long they live and how much carbon they store, yet its global variation remains poorly mapped. Here we combined 109,626 wood density measurements from 16,829 species with 300,949 vegetation plots to produce a km-scale map of community-weighted wood density for every woody biome. Our model led to a prediction accuracy 32-51 % higher than previous global products, and a 1.8-3.7-fold wider wood density range (0.28-1.00 g cm-3; global mean: 0.57 g cm-3) than previously assumed. Spatial cross-validation showed low bias ({+/-}2.5 % of the mean), and uncertainties decreased from 20% in poorly sampled drylands and boreal regions to 5% in data-rich temperate forests. Mean annual temperature was the best predictor of community-weighted mean wood density, increasing by 0.01 g cm-3 for every 1{degrees}C change. We deliver a low-bias, high-resolution wood density layer for Earth system models, together with spatially explicit error maps. This study represents a major step forward for carbon accounting and trait-based forecasts of vegetation change.

plant biology↗

bioRxiv2025

Genotype by Environment Interaction influenced the content of crude protein and total amino acids in lentil varieties

Lentil (Lens culinaris Medik) is a globally important grain legume valued for its high protein content and nutritional quality. However, the genetic and environmental factors influencing protein and amino acid composition, particularly the role of genotype x environment interaction (GEI), remain partially uncovered. This study evaluated 15 diverse lentil genotypes across seven agronomic trials spanning multiple years, sowing seasons, and locations to assess the effects of genotype, environment, and GEI on crude protein (CP), crude protein yield (CPY), total amino acids (TAA), and total amino acid yield (TAAY). Advanced statistical models such as AMMI, GGE, and WAASB were employed to dissect the contributions of genetic and environmental components and to identify stable, high-performing genotypes. Results revealed significant phenotypic variation for CP, Amino Acids (AA), and TAA among genotypes. Seasonal variation, especially between autumn and spring sowings, was the primary environmental driver of GEI for both CP and CPY. Notably, some landraces (PI_431710_LSP, PI_431739_LSP, PI_431753_LSP, IG_1959) demonstrated both high productivity and stability across environments, while others excelled in specific mega-environments identified through GGE analysis. Our findings emphasize the importance of integrating into lentil breeding programs, stability and adaptability, and a more comprehensive approach to measure the yield (e.g., CPY, MegaJoule, ammino acid composition and TAAY), which takes into account the quality and the effective energetic production of a crop. From this perspective, we highlight landraces as valuable sources of genetic diversity for improving yield. This work provides a foundation for targeted breeding strategies aimed at developing lentil varieties with enhanced protein content, balanced amino acid profiles, and resilience to environmental variability

genetics↗

bioRxiv2020

The severity of microstrokes depends on local vascular topology and baseline perfusion

1Cortical microinfarcts are caused by blood flow disturbances and are linked to pathologies like cerebral amyloid angiopathy and dementia. Despite their relevance for disease progression, microinfarcts often remain undetected and the smallest scale of disturbance has not yet been identified. We employ blood flow simulations in realistic microvascular networks from the mouse cortex to quantify the impact of single capillary occlusions. We reveal that the severity of a microstroke is strongly affected by the local vascular topology and the baseline flow rate in the occluded capillary. The largest changes in flow rate are observed in capillaries with two in- and two outflows. Interestingly, this specific topological configuration only occurs with a frequency of 8%, while the majority of capillaries are likely designed to efficiently supply oxygen and nutrients. Taken together, microstrokes likely induce a cascade of local disturbances in the surrounding tissue, which might accumulate and impair energy supply locally.

neuroscience↗