Behavioral inhibition (BI), a temperament trait characterized by fear and wariness in novel situations, has been identified as a risk factor for later social reticence and avoidance of peer interactions. However, the ability to regulate fearful responses to novelty may disrupt the link between BI and socially reticent behavior. The present study examined how and whether both behaviorally-manifested and physiological indices of emotion regulation moderate the relation between BI and later social reticence. Participants in this study included 88 children followed longitudinally from ages 2 to 4. At age 2, children completed the BI Paradigm in which children's responses to novel objects and adults were observed. At age 4, children's baseline respiratory sinus arrhythmia (RSA) was assessed and mothers reported on children's negative emotionality and soothability. Social reticence at age 4 was observed during a free play session with 3 unfamiliar peers. Results from saturated path models revealed a significant two-way interaction between BI and baseline RSA and a three-way interaction between BI, negative emotionality, and baseline RSA when predicting socially reticent behavior at age 4. At high levels of baseline RSA and high levels of negative emotionality, the association between BI and social reticence was negative. The relation between BI and later social reticence was only positive and significant at low levels of baseline RSA combined with high levels of negative emotionality. The results suggest that either strong physiological regulation or low negative emotionality seems sufficient to buffer inhibited young children against later social reticence.

This report describes the isolation, sequencing and preliminary characterization of the first 1 kb of the 5'-regulatory region of the human QM gene. This region and the 5' -half of the transcribed region of the QM gene are enriched for C and G nucleotides with no bias against CpG dinucleotides--indicative of a CpG island. Several consensus GC boxes are present within the sequence. Most are clustered at the distal end, with one site present in the proximal 200 bp of the promoter. Electrophoretic mobility shift experiments and luciferase assays done in insect cells transfected with an Sp1 expression construct suggest that most of these sites can bind Sp1 or a closely related factor. In addition, the promoter is shown to be responsive to cAMP via a response element (CRE) in the proximal promoter. Studies with 5'-end and internal deletion mutants suggest that elements in the distal promoter exert their positive effect through interactions with a proximal element(s). Candidate proximal elements include the proximal GC box and a 43 bp region between a KpnI site (at -182) and a Smal site (at -139).

INTRODUCTION: There are limited reports on kidney biopsy findings in patients with mantle cell lymphoma (MCL). METHODS: We initiated a multi-institutional, retrospective review of kidney biopsy findings in patients with active and treated MCL. RESULTS: A total of 30 patients with MCL and kidney biopsies were identified, with a median age of 67 (range 48-87) years, 73% of whom were men. A total of 20 patients had active MCL at the time of biopsy, of whom 14 (70%) presented with acute kidney injury (AKI), proteinuria and/or hematuria, and biopsy findings potentially attributable to lymphoma. Of the 14, 11 had immune complex (IC) or complement-mediated (C3) disease including proliferative glomerulonephritis (GN) with monotypic Ig deposits (PGNMID [2]), C3GN, (2), secondary membranous nephropathy (MN [3]), tubular basement membrane (TBM) deposits (2), and modest lupus-like GN (2). Lymphomatous infiltration was present in 8 of the 20 patients, 5 with coincident IC or C3 lesions. A total of 6 patients with available follow-up were treated for MCL, all with clinical remission of GN (2 PGNMID, 2 C3GN, and 2 MN). CONCLUSION: MCL is associated with diverse monoclonal and polyclonal glomerular and extra-glomerular IC and C3 disease. For patients with active MCL and kidney dysfunction requiring biopsy, 70% had findings due or potentially due to lymphoma, including 55% with IC or C3 disease and 40% had lymphomatous kidney infiltration. IC and C3GN in the setting of active MCL was responsive to lymphoma-directed therapy.

RATIONALE & OBJECTIVE: Kidney biopsy data inform us about pathologic processes associated with infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We conducted a multicenter evaluation of kidney biopsy findings in living patients to identify various kidney disease pathology findings in patients with coronavirus disease 2019 (COVID-19) and their association with SARS-CoV-2 infection. STUDY DESIGN: Case series. SETTING & PARTICIPANTS: We identified 14 native and 3 transplant kidney biopsies performed for cause in patients with documented recent or concurrent SARS-CoV-2 infection treated at 7 large hospital systems in the United States. OBSERVATIONS: Men and women were equally represented in this case series, with a higher proportion of Black (n=8) and Hispanic (n=5) patients. All 17 patients had SARS-CoV-2 infection confirmed by reverse transcriptase-polymerase chain reaction, but only 3 presented with severe COVID-19 symptoms. Acute kidney injury (n=15) and proteinuria (n=11) were the most common indications for biopsy and these symptoms developed concurrently or within 1 week of COVID-19 symptoms in all patients. Acute tubular injury (n=14), collapsing glomerulopathy (n=7), and endothelial injury/thrombotic microangiopathy (n=6) were the most common histologic findings. 2 of the 3 transplant recipients developed active antibody-mediated rejection weeks after COVID-19. 8 patients required dialysis, but others improved with conservative management. LIMITATIONS: Small study size and short clinical follow-up. CONCLUSIONS: Cases of even symptomatically mild COVID-19 were accompanied by acute kidney injury and/or heavy proteinuria that prompted a diagnostic kidney biopsy. Although acute tubular injury was seen among most of them, uncommon pathology such as collapsing glomerulopathy and acute endothelial injury were detected, and most of these patients progressed to irreversible kidney injury and dialysis.

West Nile virus (WNV) is a globally distributed mosquito-borne virus of great public health concern. The number of WNV human cases and mosquito infection patterns vary in space and time. Many statistical models have been developed to understand and predict WNV geographic and temporal dynamics. However, these modeling efforts have been disjointed with little model comparison and inconsistent validation. In this paper, we describe a framework to unify and standardize WNV modeling efforts nationwide. WNV risk, detection, or warning models for this review were solicited from active research groups working in different regions of the United States. A total of 13 models were selected and described. The spatial and temporal scales of each model were compared to guide the timing and the locations for mosquito and virus surveillance, to support mosquito vector control decisions, and to assist in conducting public health outreach campaigns at multiple scales of decision-making. Our overarching goal is to bridge the existing gap between model development, which is usually conducted as an academic exercise, and practical model applications, which occur at state, tribal, local, or territorial public health and mosquito control agency levels. The proposed model assessment and comparison framework helps clarify the value of individual models for decision-making and identifies the appropriate temporal and spatial scope of each model. This qualitative evaluation clearly identifies gaps in linking models to applied decisions and sets the stage for a quantitative comparison of models. Specifically, whereas many coarse-grained models (county resolution or greater) have been developed, the greatest need is for fine-grained, short-term planning models (m-km, days-weeks) that remain scarce. We further recommend quantifying the value of information for each decision to identify decisions that would benefit most from model input.