A new, deep learning-based method for the analysis of autopsy kidney samples used to study sex differences in glomerular density and size in a forensic population.

Artificial intelligence (AI) is increasingly used in forensic anthropology and genetics to identify the victim and the cause of death. The large autopsy samples from persons with traumatic causes of death but without comorbidities also offer possibilities to analyze normal histology with AI. We propose a new deep learning-based method to rapidly count glomerular number and measure glomerular density (GD) and volume in post-mortem kidney samples obtained in a forensic population. We assessed whether this new method detects glomerular differences between men and women without known kidney disease. Autopsies performed between 2009 and 2015 were analyzed if subjects were aged ≥ 18 years and had no known kidney disease, diabetes mellitus, or hypertension. A large biopsy was taken from each kidney, stained with hematoxylin and eosin, and scanned. An in-house developed deep learning-based algorithm counted the glomerular density (GD), number, and size. Out of 1165 forensic autopsies, 86 met all inclusion criteria (54 men). Mean (± SD) age was 43.5 ± 14.6; 786 ± 277 glomeruli were analyzed per individual. There was no significant difference in GD between men and women (2.18 ± 0.49 vs. 2.30 ± 0.57 glomeruli/mm2, p = 0.71); glomerular diameter, area, and volume also did not differ. GD correlated inversely with age, kidney weight, and glomerular area. Glomerular area and volume increased significantly with age. In this study, there were no sex differences in glomerular density or size. Considering the size of the kidney samples, the use of the presented deep learning method can help to analyze large renal autopsy biopsies and opens perspectives for the histological study of other organs.

Multiple layers of B cell memory with different effector functions.

Memory B cells are at the center of longstanding controversies regarding the presence of antigen for their survival and their re-engagement in germinal centers after secondary challenge. Using a new mouse model of memory B cell labeling dependent on the cytidine deaminase AID, we show that after immunization with a particulate antigen, B cell memory appeared in several subsets, comprising clusters of immunoglobulin M-positive (IgM(+)) and IgG1(+) B cells in germinal center-like structures that persisted up to 8 months after immunization, as well as IgM(+) and IgG1(+) B cells with a memory phenotype outside of B cell follicles. After challenge, the IgG subset differentiated into plasmocytes, whereas the IgM subset reinitiated a germinal center reaction. This model, in which B cell memory appears in several layers with different functions, reconciles previous conflicting propositions.

A system for studying mechanisms of neuromuscular junction development and maintenance.

The neuromuscular junction (NMJ), a cellular synapse between a motor neuron and a skeletal muscle fiber, enables the translation of chemical cues into physical activity. The development of this special structure has been subject to numerous investigations, but its complexity renders in vivo studies particularly difficult to perform. In vitro modeling of the neuromuscular junction represents a powerful tool to delineate fully the fine tuning of events that lead to subcellular specialization at the pre-synaptic and post-synaptic sites. Here, we describe a novel heterologous co-culture in vitro method using rat spinal cord explants with dorsal root ganglia and murine primary myoblasts to study neuromuscular junctions. This system allows the formation and long-term survival of highly differentiated myofibers, motor neurons, supporting glial cells and functional neuromuscular junctions with post-synaptic specialization. Therefore, fundamental aspects of NMJ formation and maintenance can be studied using the described system, which can be adapted to model multiple NMJ-associated disorders.

Modulatory role of the anti-apoptotic protein kinase CK2 in the sub-cellular localization of Fas associated death domain protein (FADD).

The Fas associated death domain protein (FADD) is the key adaptor molecule of the apoptotic signal triggered by death receptors of the TNF-R1 superfamily. Besides its crucial role in the apoptotic machinery, FADD has proved to be important in many biological processes like tumorigenesis, embryonic development or cell cycle progression. In a process to decipher the regulatory mechanisms underlying FADD regulation, we identified the anti-apoptotic kinase, CK2, as a new partner and regulator of FADD sub-cellular localization. The blockade of CK2 activity induced FADD re-localization within the cell. Moreover, cytoplasmic FADD was increased when CK2ß was knocked down. In vitro kinase and pull down assays confirmed that FADD could be phosphorylated by the CK2 holoenzyme. We found that phosphorylation is weak with CK2α alone and optimal in the presence of stoichiometric amounts of CK2α catalytic and CK2ß regulatory subunit, showing that FADD phosphorylation is undertaken by the CK2 holoenzyme in a CK2ß-driven fashion. We found that CK2 can phosphorylate FADD on the serine 200 and that this phosphorylation is important for nuclear localization of FADD. Altogether, our results show for the first time that multifaceted kinase, CK2, phosphorylates FADD and is involved in its sub-cellular localization. This work uncovered an important role of CK2 in stable FADD nuclear localization.

Fas-associated death domain protein and adenosine partnership: fad in RA.

Inflammation is the principal hallmark of RA. Different pathways are implicated in the production of pro-inflammatory cytokines, the bona fide mediators of this inflammation. Among them are the TNF pathway and the IL-1 receptor/Toll-like receptor (IL-1R/TLR4) pathway. One of the potential negative regulators of IL-1R/TLR4 signalling is the Fas-associated death domain protein (FADD), which is the pivotal adaptor of the apoptotic signal mediated by death receptors of the TNF family. FADD can sequester myeloid differentiation primary response gene 88 (MyD88), the common adaptor of most TLRs, and hence hinder the activation of nuclear factor κB (NF-κB), the downstream transcription factor. We recently described a new regulatory mechanism of FADD expression, via the shedding of microvesicles, mediated by adenosine receptors. Interestingly, adenosine is found in high concentrations in the joints of RA patients and has been largely reported as a regulator of inflammation. This review discusses the possible link that could exist between the adenosine-dependent regulation of FADD in the inflammatory context of RA and the potential role of FADD as a therapeutic target in the treatment of RA. We will see that the modulation of FADD expression may be a double-edged sword by increasing apoptosis and at the same time limiting NF-κB activation.

Dynein disruption perturbs post-synaptic components and contributes to impaired MuSK clustering at the NMJ: implication in ALS.

The neuromuscular junction (NMJ) allows the transformation of a neuronal message into a mechanical force by muscle contraction and is the target of several neuromuscular disorders. While the neuronal side is under extensive research, the muscle appeared recently to have a growing role in the formation and integrity of the neuromuscular junction. We used an in vitro model of mature myofibers to study the role of dynein on major postsynaptic proteins. We found that dynein affects the expression and the clustering of acetylcholine receptors (AChRs), muscle specific tyrosine kinase (MuSK) and Rapsyn. We also show that myofibers with dynein impairment or from an amyotrophic lateral sclerosis (ALS) model (SOD1(G93A)) show similar defects in myofiber formation and agrin-induced AChR clustering suggesting a role for dynein impairment in ALS progression. Finally, we found that dynein can affect MuSK traffic through the endosomal pathway. Collectively, our studies show that defects in dynein can lead to impairment of muscle NMJ components' expression and clustering. We propose that NMJ defects could happen via defective MuSK traffic and that this could be one of the pathological features involved in neurodegeneration such as ALS.