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Connectomic analysis of apical dendrite innervation in pyramidal neurons of mouse cerebral cortex
(2020)
The central goal of this study was to generate synapse-resolution maps of local and long-range innervation on apical dendrites (AD) in mouse cerebral cortex. We used three-dimensional electron microscopy (3D-EM) to first measure the cell-type specific balance in the excitatory and inhibitory input on ADs. Further, we found two inhibitory axon populations with preference for apical dendrites originating from layer 2 and 3/5. Additionally, we used a combination of large-scale volumetric light and electron microscopy to investigate the innervation preference of long-range cortical projections onto ADs. To generate such large-scale 3D-EM datasets, we also developed a software package to automate aberration adjustment.
The balance of excitation and inhibition defines the computational properties of neurons. We, therefore, generated 6 datasets and annotated 26,548 excitatory and inhibitory synapses to map the relative inhibitory strength on the AD of pyramidal neurons in layers 1 and 2 (L1 and 2) of the cortex. We found consistent and cell-type specific patterns of inhibitory strength along the apical dendrite of L2-5 pyramidal neurons in primary somatosensory (S1), secondary visual (V2), posterior parietal (PPC) and anterior cingulate (ACC) cortices. L2 and L5 pyramidal neurons had inhibitory hot-zones at their main bifurcation and distal apical dendrite tuft, respectively. In contrast, L3 neurons had a baseline (~10%) level of inhibition along their apical dendrite. As controls, we quantified the effect of synapse strength (size), dendrite diameter, AD classification and synapse identification methods on the cell-type specific synapse densities. To classify L5 pyramidal subtypes, we performed hierarchical clustering using morphological properties that were described to differentiate slender- and thick-tufted L5 neurons.
We also investigated the distance to soma as a predictor of fractional inhibition around the main bifurcation of apical dendrites. Interestingly, we found a strong exponential relationship that was absent in density of either synapse type. This suggests a distance dependent control mechanism designed specifically for the balance (in synapse numbers) of excitation and inhibition.
Next, we focused on the inhibitory innervation preference for apical dendrite of pyramidal neuron. We, therefore, annotated 5,448 output synapses of AD-targeting inhibitory axons and found two populations specific for either L2 or L3/5 apical dendrites. Together with previous findings on preferential innervation of sub-cellular structures by inhibitory axons, this suggests two distinct inhibitory circuits for control of AD activity in L2 vs. deep-layer pyramidal neurons. This innervation preference was surprisingly consistent across S1, V2, PPC and ACC cortices.
3D-EM data acquisition is a laborious process that is made easier and more popular everyday by technical progress in the laboratory and industrial settings. To make data acquisition robust using our custom-built 3D-EM microscopes, an automatic aberration software was implemented to adjust the objective lens and the stigmators of the electron microscope. This method was used in multiple month-long experiments across 2 microscopes and 10 datasets. The aberration adjustment used the reduction in image details (high-frequency elements) to estimate the level of deviation from optimal focus and stigmator parameters. However, large objects in EM micrographs such as blood vessel and nuclei cross-sections generated anomalous results. We, therefore, added image processing routines based on edge detection combined with morphological operations to exclude such large objects.
Finally, we performed a correlative three-dimensional (3D) light (LM) and electron (EM) microscopy experiment to map the long-range primary visual (V1) and secondary motor (M2) cortical input to ADs in layer 1 of PPC using the “FluoEM” approach. This method allows for identification of the long-range source of projection axons in EM volumes without the need for EM-dense label conversion or heat-induced markings. The long-range source of an axon in EM is identified based on the fluorescent protein that is expressed in its LM counterpart. In comparison to M2 input, Long-range axons from V1 had a higher tendency to target L3 pyramidal neurons in PPC according to our preliminary analysis. In combination with the difference observed in the synapse composition of L2 and L3 apical dendrites, this suggests the need for separate functional and structural analysis of L2 and 3 pyramidal neurons.
Bacteria constantly attempt to hold up ion gradients across their membranes to maintain their resting potential for routine cell function, while coping with sudden environmental changes. Under abrupt hyperosmotic conditions, as faced when invading a host, most bacteria restore their turgor pressure by taking up potassium ions to prevent death by plasmolysis. Here, the potassium transporter AB, or KtrAB for short, is a key player. KtrAB consists of the membrane-embedded KtrB dimer, which includes two pores organized in tandem, and a cytoplasmic, octameric KtrA ring, which regulates these two pores. The KtrB subunits alone were suggested to function as rather non-selective ion channels translocating potassium and sodium ions. The KtrA subunits confer transport velocity, K+ selectivity as well as Na+ and nucleotide dependency to the Ktr system. The nucleotide regulation by binding to KtrA is rather well characterized. In contrast, the regulatory role of Na+ remains elusive. Controversially discussed is how selective the ion translocation by KtrB is and how KtrA affects it. Although there are several functional and structural data available of KtrAB and its homolog TrkAH, the selectivity of the ion translocation was never thoroughly addressed. The functional characterization of whether KtrAB is a selective ion channel and how selectivity is achieved is in the focus of this thesis. Since selectivity is usually defined by the ion channels’ selectivity filter contained in the pore-forming domain, a particular attention was laid on the ion-translocating subunits KtrB.
KtrB belongs to the superfamily of K+ transporters (SKT). Each KtrB monomer consists of four covalently attached M1-P-M2 motifs, each motif is made of two transmembrane (TM or M) helices that are connected by a pore (P) helix. The four motifs, referred to as domains D1 to D4, are arranged in a pseudo-fourfold symmetry and together form the pore for potassium ion translocation. Each pore contains two structural features thought to be involved in ion selectivity and ion gating. These are the non-canonical selectivity filter and the intramembrane loop. The selectivity filter is localized at the extracellular side of the pore and mostly shaped by the backbone carbonyl groups of the loops connecting the P and M2 helices in each domain. In KtrB, each P-loop contains only one highly conserved glycine residue instead of the classical -TVGYG- signature sequence of a K+ channel. This simple constructed selectivity filter led to the hypothesis that KtrAB would only have low ion selectivity. The intramembrane loop is formed by broken helix D3M2 and is located directly under the selectivity filter. It consists mostly of polar residues and acts as a molecular gate restricting ion fluxes. The intramembrane loop has been shown to be regulated by nucleotide binding to KtrA. Additionally, it could directly or indirectly be affected by Na+ binding. Further, the loop might even be involved in ion selectivity because it presents a physical barrier inside the pore.
To address the ion selectivity of the Ktr system, first, the ion binding specificity of KtrB was investigated. Binding affinities of different cations to KtrB were determined using isothermal titration calorimetry (ITC). For this, KtrB from Vibrio alginolyticus was heterologously produced in and purified from Escherichia coli. 12 L of culture roughly yielded 4 to 8 mg of the functional KtrB dimer in detergent solution. ITC measurements were performed in two different buffers, one choline-Cl-based and one LiCl-based buffer. No differences in the affinity between Na+ (KD = 1.8 mM), K+ (KD = 2.9 mM), Rb+ (KD = 1.9 mM) or Cs+ (KD = 1.6 mM) were detected in the choline-Cl-based buffer; only Li+ did not bind. In contrast, ITC measurements in LiCl-based buffer revealed a significant preference for K+ (KD = 91 µM) over Rb+ (KD = 2.4 mM), Cs+ (KD = 1.7 mM) and particularly Na+ (for which no binding was observed). Similarly, the presence of low millimolar NaCl concentrations in the choline-Cl-based buffer led to a decreased KD value of 260 µM. Hence, small cations, which usually are present in the natural environment, seem to modulate the selectivity filter for a better binding of K+ ions providing K+ selectivity. In fact, the low binding affinities of the other ions could indicate that they do not even bind to the selectivity filter but to the cavity. However, ITC competition experiments showed that all four ions compete for the same or overlapping binding sites, with Rb+ and Cs+ even blocking K+ binding at concentrations 10-fold above their binding affinities. Importantly, at physiological NaCl concentrations of 200 mM, the apparent binding affinity for K+ to KtrB was still 3.5 mM. This suggested that Na+ can also bind to KtrB’s selectivity filter but with a comparably low binding affinity providing an unexpectedly high preference for K+ ions.
...
Consuming dividends
(2020)
This paper studies why investors buy dividend-paying assets and how they time their consumption accordingly. We combine administrative bank data linking customers’ consumption transactions and income to detailed portfolio data and survey responses on financial behavior. We find that private consumption is excessively sensitive to dividend income. Investors across wealth, income, and age distributions increase spending precisely around days of dividend receipt. Importantly, the consumption response is driven by financially prudent investors who select dividend portfolios, anticipate dividend income, and plan consumption accordingly. Our results contribute to the literature on a dividend clientele and provide evidence of ‘planned’ excess sensitivity.
We survey a representative sample of US households to study how exposure to the COVID-19 stock market crash a↵ects expectations and planned behavior. Wealth shocks are associated with upward adjustments of expectations about retirement age, desired working hours, and household debt, but have only small e↵ects on expected spending. We provide correlational and experimental evidence that beliefs about the duration of the stock market recovery shape households’ expectations about their own wealth and their planned investment decisions and labor market activity. Our findings shed light on the implications of household exposure to stock market crashes for expectation formation.
This working paper suggests to analyse agencification as a double process of institutional and policy centralisation. To that end, it develops a categorisation of agencies that incorporates these two dimensions. More specifically, it is argued that mixed outcomes where the levels of institutional and policy centralisation diverge can be expected to be the rule rather than the exception, in line with the hybrid nature of EU agencies as inbetweeners. Moreover, the fiduciary setting hits important legal constraints given the limits to delegation in the EU context. Against this backdrop a process whereby institutional centralisation develops incrementally and remains limited, yet is accompanied by a process of substantial policy centralisation, appears as the most promising path for EU agencification. A fiduciary setting, where a strong agency enjoys a high degree of independence and operates in a centralised policy space, by contrast, should be the exception. The comparative study of the process of agencification in the energy and banking sector is insightful in the light of these expectations. The incremental nature of institutional change in energy exemplifies the usual path of agencification, which is conducive to a weak agency operating in a relatively centralised policy space. Agencification in banking, by contrast, has led to a rather unusual outcome where the strong agency model combines with a fragmented policy context.
This Policy Letter outlines a pandemic insurance solution through a pandemic-related “Insurance Linked Bond”. It would be originated by governments, with a principal amount to cover significant costs resulting from a pandemic. These bonds, which would be traded on a secondary market, generate a risk-adequate return for private and institutional investors that is financed through the insurance premiums paid by the public domain. In case of a pre-defined pandemic trigger event, the principal of the bond becomes available for the originating governments to cover pandemic-related costs. Through this approach, governments can insure themselves against future pandemic-related risks, while funding comes primarily from private and institutional investors.
leporello #4
(2020)
Background and Objectives: Delirium is a common and major complication subsequent to cardiac surgery. Despite scientific efforts, there are no parameters which reliably predict postoperative delirium. In delirium pathology, natriuretic peptides (NPs) interfere with the blood–brain barrier and thus promote delirium. Therefore, we aimed to assess whether NPs may predict postoperative delirium and long-term outcomes. Materials and Methods: To evaluate the predictive value of NPs for delirium we retrospectively analyzed data from a prospective, randomized study for serum levels of atrial natriuretic peptide (ANP) and the precursor of C-type natriuretic peptide (NT-proCNP) in patients undergoing coronary artery bypass grafting (CABG) with or without cardiopulmonary bypass (off-pump coronary bypass grafting; OPCAB). Delirium was assessed by a validated chart-based method. Long-term outcomes were assessed 10 years after surgery by a telephone interview. Results: The overall incidence of delirium in the total cohort was 48% regardless of the surgical approach (CABG vs. OPCAB). Serum ANP levels >64.6 pg/mL predicted delirium with a sensitivity (95% confidence interval) of 100% (75.3–100) and specificity of 42.9% (17.7–71.1). Serum NT-proCNP levels >1.7 pg/mL predicted delirium with a sensitivity (95% confidence interval) of 92.3% (64.0–99.8) and specificity of 42.9% (17.7–71.1). Both NPs could not predict postoperative survival or long-term cognitive decline. Conclusions: We found a positive correlation between delirium and preoperative plasma levels of ANP and NT-proCNP. A well-powered and prospective study might identify NPs as biomarkers indicating the risk of delirium and postoperative cognitive decline in patients at risk for postoperative delirium.
Within the context of eHealth interventions, a shared understanding of what constitutes engagement in and with eHealth technologies is missing. A clearer understanding of engagement could provide a valuable starting point for guidelines relating to the design and development of eHealth technologies. Given the cross-disciplinary use of the term “engagement,” investigating how engagement (and its components) is conceptualized in different domains could lead to determining common components that are deemed important for eHealth technological design. As such, the aim of this paper was 3-fold: (a) to investigate in which domains engagement features, (b) to determine what constitutes engagement in these different domains, and (c) to determine whether there are any common components that seem to be important. A comprehensive systematic scoping review of the existing literature was conducted in order to identify the domains in which engagement is used, to extract the associated definitions of engagement, and to identify the dimensionality or components thereof. A search of five bibliographic databases yielded 1,231 unique records. All titles, abstracts, and full texts were screened based on specific inclusion and exclusion criteria. This led to 69 articles being included for further analyses. The results showed that engagement is used in seven functional domains, categorized as follows: student (n = 18), customer (n = 12), health (n = 11), society (n = 10), work (n = 9), digital (n = 8), and transdisciplinary (n = 1) domains. It seems that some domains are more mature regarding their conceptualization and theorizing on engagement than others. Further, engagement was found to be predominantly conceptualized as a multidimensional construct with three common components (behavior, cognition, and affective) shared between domains. Although engagement is prolifically used in different disciplines, it is evident that little shared consensus as to its conceptualization within and between domains exists. Despite this, engagement is foremost seen as a state of being engaged in/with something, which is part of, but should not be confused with, the process of engagement. Behavior, cognition, and affect are important components of engagement and should be specified for each new context.
A list of authors and their affiliations appears at the end of the paper New-particle formation is a major contributor to urban smog, but how it occurs in cities is often puzzling. If the growth rates of urban particles are similar to those found in cleaner environments (1–10 nanometres per hour), then existing understanding suggests that new urban particles should be rapidly scavenged by the high concentration of pre-existing particles. Here we show, through experiments performed under atmospheric conditions in the CLOUD chamber at CERN, that below about +5 degrees Celsius, nitric acid and ammonia vapours can condense onto freshly nucleated particles as small as a few nanometres in diameter. Moreover, when it is cold enough (below −15 degrees Celsius), nitric acid and ammonia can nucleate directly through an acid–base stabilization mechanism to form ammonium nitrate particles. Given that these vapours are often one thousand times more abundant than sulfuric acid, the resulting particle growth rates can be extremely high, reaching well above 100 nanometres per hour. However, these high growth rates require the gas-particle ammonium nitrate system to be out of equilibrium in order to sustain gas-phase supersaturations. In view of the strong temperature dependence that we measure for the gas-phase supersaturations, we expect such transient conditions to occur in inhomogeneous urban settings, especially in wintertime, driven by vertical mixing and by strong local sources such as traffic. Even though rapid growth from nitric acid and ammonia condensation may last for only a few minutes, it is nonetheless fast enough to shepherd freshly nucleated particles through the smallest size range where they are most vulnerable to scavenging loss, thus greatly increasing their survival probability. We also expect nitric acid and ammonia nucleation and rapid growth to be important in the relatively clean and cold upper free troposphere, where ammonia can be convected from the continental boundary layer and nitric acid is abundant from electrical storms.