Biology subjects

Neckel, P. H.

Publications and source records attributed to Neckel, P. H..

5 recordsLinked to original sources

bioRxiv2026

Diagnosing Neurodegenerative Diseases by Label-Free 3-D Imaging of Intestinal Samples

Early diagnosis of Parkinsons disease (PD) remains challenging because motor symptoms appear only after extensive neurodegeneration, and a definitive diagnosis still relies on post-mortem neuropathology. Increasing evidence implicates the enteric nervous system (ENS) in prodromal disease stages, but routine ENS-based diagnosis is limited by the complexity of intestinal tissue organization and the need for specific labeling strategies. Here, we developed a label-free autofluorescence (AF) imaging workflow combined with unbiased morphometric analysis to identify neurodegenerative alterations in fixed human colonic tissue. Using a correlative multiscale imaging approach, we generated a database of almost 800 high-resolution confocal images from myenteric and submucosal plexuses of controls, PD, and Alzheimers disease (AD) patients. Blind evaluation by four expert histologists showed reliable identification of control tissue but lower sensitivity for pathological cases, reflecting the heterogeneous distribution of ENS lesions. Semi-quantitative and morphometric image analyses identified a distinct population of enlarged enteric neurons, termed large neural cells (LNCs), strongly enriched in PD and AD compared with controls. LNCs contained autofluorescent cytoplasmic inclusions and frequently prominent nucleoli, both features largely absent from control tissue independent of aging. Co-localization with the amyloid-binding probe Amytracker (AmyT) demonstrated that AF granules correspond to {beta}-sheet-rich protein aggregates rather than merely age-related lipofuscin granules. Similar alterations were detected in intact three-dimensional (3-D) colonic biopsies, demonstrating the feasibility of volumetric ENS imaging without tissue clearing. Together, our results establish label-free AF imaging as a rapid and clinically compatible strategy for detecting enteric neurodegenerative pathology. This approach provides a framework for the future development of ENS-based biomarkers and supports the use of volumetric intestinal imaging for early diagnosis of neurodegenerative diseases.

pathology↗

bioRxiv2025

R-Spondin1 regulates fate of enteric neural progenitors via differential LGR4/5/6-expression in mice and humans

Regeneration and cytodifferentiation of various adult epithelial stem cell compartments are controlled by the Wnt-agonist R-Spondin1 (RSPO1) and the Leucin-rich-repeat-containing G-protein-coupled-receptors (LGR4/5/6). We hypothesized that RSPO1-LGR-signaling also is involved in regulating neuro-regeneration and homeostasis of the postnatal enteric nervous system (ENS). If applied to murine and human ENS-progenitors, RSPO1 led to an increased proliferation, followed by enhanced enteric neurogenesis. This coincided with an upregulation of LGR4 expression during ENS-progenitor proliferation in vitro. In contrast, we observed a reduced proliferation in ENS-progenitors expressing LGR5, while LGR6 was not expressed by proliferative ENS-progenitors. Instead, LGR5 and LGR6 expression increased over the course of induced neuronal differentiation, consistent with the in vivo expression. LGR-receptor expression therefore might represent a previously unknown mechanism influencing the fate decision of ENS-progenitor cells between proliferation and neuronal differentiation. Thus, our study is essential for our understanding of regenerative aspects of the postnatal ENS in health and disease.

developmental biology↗

bioRxiv2024

Gut Analysis Toolbox: Automating quantitative analysis of enteric neurons

The enteric nervous system (ENS) plays an important role in coordinating gut function. The ENS consists of an extensive network of neurons and glial cells within the wall of the gastrointestinal tract. Alterations in neuronal distribution, function, and type are strongly associated with enteric neuropathies and gastrointestinal (GI) dysfunction and can serve as biomarkers for disease. However, current methods for assessing neuronal counts and distribution suffer from undersampling. This is partly due to challenges associated with imaging and analyzing large tissue areas, and operator bias due to manual analysis. Here, we present the Gut Analysis Toolbox (GAT), an image analysis tool designed for characterization of enteric neurons and their neurochemical coding using 2D images of GI wholemount preparations. GAT is developed for the Fiji distribution of ImageJ. It has a user-friendly interface and offers rapid and accurate cell segmentation. Custom deep learning (DL) based cell segmentation models were developed using StarDist. GAT also includes a ganglion segmentation model which was developed using deepImageJ. In addition, GAT allows importing of segmentation generated by other software. DL models have been trained using ZeroCostDL4Mic on diverse datasets sourced from different laboratories. This captures the variability associated with differences in animal species, image acquisition parameters, and sample preparation across research groups. We demonstrate the robustness of the cell segmentation DL models by comparing them against the state-of-the-art cell segmentation software, Cellpose. To quantify neuronal distribution GAT applies proximal neighbor-based spatial analysis. We demonstrate how the proximal neighbor analysis can reveal differences in cellular distribution across gut regions using a published dataset. In summary, GAT provides an easy-to-use toolbox to streamline routine image analysis tasks in ENS research. GAT enhances throughput allowing unbiased analysis of larger tissue areas, multiple neuronal markers and numerous samples rapidly.

neuroscience↗

bioRxiv2020

Overexpression of human alpha-synuclein leads to dysregulated microbiome and metabolites with ageing in a rat model of Parkinson disease

Since Braaks hypothesis stating that sporadic Parkinsons disease follows a specific progression of the pathology from the peripheral to the central nervous system and can be monitored by detecting accumulation of the alpha-Synuclein protein. There is growing interest in understanding how the gut (commensal) microbiome can regulate alpha-Synuclein accumulation which can lead to PD. We studied a transgenic rat model overexpressing the human alpha-Synuclein and found that the protein overexpression resulted in gut alpha-Synuclein expression and aggregation in the gut neurons with advancing age. A progressive gut microbial composition alteration characterized by the reduction of Firmicutes to Bacteroidetes ratio could be detected in the young transgenic rat model and interestingly this ratio was then increased with aging. This observation was accompanied in older animals by intestinal inflammation, increase gut permeability and a robust alteration in metabolites production characterized by the increase of succinate level in the feces and serum. Manipulation of the gut bacteria by short-term antibiotics treatment revealed a complete loss of short-chain fatty acids (SCFAs) and reduction in succinate levels. Although antibiotics treatment did not change alpha-synuclein expression in the enteric nervous system of the colon, it can reduce alpha-synuclein expression in the olfactory bulb of the transgenic rats. In summary, synchronous with ageing, our data emphasize that the gut microbiome dysbiosis leads to a specific alteration of gut metabolites which are reflected in the serum and can be modulated by the environment.

neuroscience↗

bioRxiv2020

Evidence of SARS-CoV2 entry protein ACE2 in the human nose and olfactory bulb

Usually, pandemic COVID-19 disease, caused by SARS-CoV2, presents with mild respiratory symptoms such as fever, cough but frequently also with anosmia and neurological symptom. Virus-cell fusion is mediated by Angiotensin-Converting Enzyme 2 (ACE2) and Transmembrane Serine Protease 2 (TMPRSS2) with their organ expression pattern determining viral tropism. Clinical presentation suggests rapid viral dissemination to central nervous system leading frequently to severe symptoms including viral meningitis. Here, we provide a comprehensive expression landscape of ACE2 and TMPRSS2 proteins across human, post-mortem nasal and olfactory tissue. Sagittal sections through the human nose complemented with immunolabelling of respective cell types represent different anatomically defined regions including olfactory epithelium, respiratory epithelium of the nasal conchae and the paranasal sinuses along with the hardly accessible human olfactory bulb. ACE2 can be detected in the olfactory epithelium, as well as in the respiratory epithelium of the nasal septum, the nasal conchae and the paranasal sinuses. ACE2 is located in the sustentacular cells and in the glandular cells in the olfactory epithelium, as well as in the basal cells, glandular cells and epithelial cells of the respiratory epithelium. Intriguingly, ACE2 is not expressed in mature or immature olfactory receptor neurons and basal cells in the olfactory epithelium. Similarly ACE2 is not localized in the olfactory receptor neurons albeit the olfactory bulb is positive. Vice versa, TMPRSS2 can also be detected in the sustentacular cells and the glandular cells of the olfactory epithelium. Our findings provide the basic anatomical evidence for the expression of ACE2 and TMPRSS2 in the human nose, olfactory epithelium and olfactory bulb. Thus, they are substantial for future studies that aim to elucidate the symptom of SARS-CoV2 induced anosmia of via the olfactory pathway.

cell biology↗