Ananya Datta-Mitra’s research while affiliated with University of California, Davis and other places

COVID-19 infection is still a mystery in terms of its long-term effect on health and its consequences on hematological disorders. Prior studies including ours have shown the abnormal changes in hematopoietic cells in COVID-19 patients. In this article, we are presenting 2 cases of pediatric B-lymphoblastic leukemia (B-ALL) with a previous history of COVID-19 infection. The first case describes a 22-month-old boy presenting with lymphadenopathy, neutropenia, and anemia with concurrent COVID-19 infection without any evidence of a hematolymphoid neoplasm as per bone marrow and lymph node biopsy. However, he presented after 2 months with bone marrow biopsy confirming B-ALL. The second case is that of a 4-year-old girl presenting with B-ALL who has had asymptomatic COVID-19 infection 5 months before this current presentation. Both the cases had complete resolution of COVID-19 infection during the time of presentation with acute leukemia. There were notably 2 rare findings along the course of the patients’ illnesses. First, the unusual plasmacytosis in the marrow during active COVID-19 infection in the first patient and the second, is predilection of development of B-ALL following COVID-19. In both the cases the fluorescence in situ hybridization (FISH) studies showed pathologic alteration of the RUNX1 gene. Overall, there are no literature to support a causal association between acute B-ALL and COVID-19. The diagnosis of B-ALL in these patients after COVID-19 infection may be totally unrelated. However, if we consider Greaves proposed 2-hit model for childhood acute leukemia, that an infectious agent can precipitate development of B-ALL in a genetically susceptible individual. Alteration of the RUNX1 gene in both the patients, opens a door for further exploration of the “second-hit” hypothesis regarding an infectious agent precipitating development of B-ALL in a genetically susceptible individual.

Anemia is a multifactorial condition; approaches to address it must recognize that the causal factors represent an ecology consisting of internal (biology, genetics, and health) and external (social/behavioral/demographic and physical) environments. In this paper, we present an approach for selecting interventions, followed by a description of key issues related to the multiple available interventions for prevention and reduction of anemia. We address interventions for anemia using the following 2 main categories: 1) those that address nutrients alone, and, 2) those that address nonnutritional causes of anemia. The emphasis will be on interventions of public health relevance, but we also consider the clinical context. We also focus on interventions at different stages of the life course, with a particular focus on women of reproductive age and preschool-age children, and present evidence on various factors to consider when selecting an intervention—inflammation, genetic mutations, nutrient delivery, bioavailability, and safety. Each section on an intervention domain concludes with a brief discussion of key research areas.

Aims: Histology, the microscopic study of normal tissues, is a crucial element of most medical curricula. Learning tools focused on histology are very important to learners who seek diagnostic competency within this important diagnostic arena. Recent developments in machine learning (ML) suggest that certain ML tools may be able to benefit this histology learning platform. Here, we aim to explore how one such tool based on a convolutional neural network, can be used to build a generalizable multi-classification model capable of classifying microscopic images of human tissue samples with the ultimate goal of providing a differential diagnosis (a list of look-alikes) for each entity. Methods: We obtained three institutional training datasets and one generalizability test dataset, each containing images of histologic tissues in 38 categories. Models were trained on data from single institutions, low quantity combinations of multiple institutions, and high quantity combinations of multiple institutions. Models were tested against withheld validation data, external institutional data, and generalizability test images obtained from Google image search. Performance was measured with macro and micro accuracy, sensitivity, specificity, and f1-score. Results: In this study, we were able to show that such a model's generalizability is dependent on both the training data source variety and the total number of training images used. Models which were trained on 760 images from only a single institution performed well on withheld internal data but poorly on external data (lower generalizability). Increasing data source diversity improved generalizability, even when decreasing data quantity: models trained on 684 images, but from three sources improved generalization accuracy between 4.05% and 18.59%. Maintaining this diversity and increasing the quantity of training images to 2280 further improved generalization accuracy between 16.51% and 32.79%. Conclusions: This pilot study highlights the significance of data diversity within such studies. As expected, optimal models are those that incorporate both diversity and quantity into their platforms.s.

Background: Increasing evidence points to a role for the extra-neuronal nerve growth factor (NGF) in acquired immune responses. However, very little information is available about its role and underlying mechanism in innate immunity. The role of innate immunity in autoimmune diseases is becoming increasingly important. In this study, we explored the contribution of pleiotropic NGF in the innate immune response along with its underlying molecular mechanism with respect to IL-1β secretion. Methods: Human monocytes, null and NLRP3 deficient THP-1 cell lines were used for this purpose. We determined the effect of NGF on secretion of IL-1β at the protein and mRNA levels. To determine the underlying molecular mechanism, the effect of NGF on NLRP1/NLRP3 inflammasomes and its downstream key protein, activated caspase-1, were evaluated by ELISA, immunoflorescence, flow cytometry, and real-time PCR. Results: In human monocytes and null THP-1 cell line, NGF significantly upregulates IL-1β at protein and mRNA levels in a caspase-1 dependent manner through its receptor, TrkA. Furthermore, we observed that NGF induces caspase-1 activation through NLRP1/NLRP3 inflammasomes, and it is dependent on the master transcription factor, NF-κB. Conclusions: To best of our knowledge, this is the first report shedding light on the mechanistic aspect of a neuroregulatory molecule, NGF, in innate immune response, and thus enriches our understanding regarding its pathogenic role in inflammation. These observations add further evidence in favor of anti-NGF therapy in autoimmune diseases and also unlock a new area of research about the role of NGF in IL-1β mediated diseases.

Aim: To quantify the progression and severity of mouse collagen-induced arthritis (CIA) using an in vivo imaging tool, (18) F-fluorodeoxyglucose ((18) F-FDG) PET/CT and validate it against gold standard 'histopathological' evaluation. Method: The PET radiotracer (18) F-FDG, a marker for glucose metabolism, was injected in mice at different stages of CIA and the radiotracer distribution was imaged using a PET scanner. A sequential CT scan provided correlated anatomy. Radiotracer concentration was derived from PET/CT images for individual limb joints and on a per-limb basis at different stages of the disease. The imaging outcomes were subjected to correlation analysis with concurrently measured clinical and histological score. Results: Clinical and histological score, and hence disease severity, showed a strong linear correlation (r(2) = 0.71, P = 0.001 and r(2) = 0.87, P < 0.001, respectively) with radiotracer concentration measured from PET/CT during the progression of CIA. Conclusions: The strong positive correlation of the (18) F-FDG PET/CT findings with the histopathological evaluation at different stages of the disease suggest the potential of this imaging tool for the non-invasive assessment of progression and severity in mouse autoimmune arthritis. Thus, in preclinical studies, (18) F-FDG PET/CT can be considered as a non-invasive tool to develop novel therapies of inflammatory arthritis.

Psoriasis is a multifactorial chronic inflammatory disease. Research into the pathogenesis of this disease is hindered by the lack of a proper animal model. Over the past two decades, many scientists were involved in the development of animal models that nearly mirror the immunopathogenesis of psoriasis. One such model, which has opened doors to the study of molecular complexities of psoriasis as well as its treatment, is the severe combined immunodeficiency (SCID) mouse-human skin chimera model. This model not only mirrors the clinical and histopathological features of psoriasis but also help in the study of cell proliferation, angiogenesis, function of T cells, neurogenic inflammation and cytokines involved in inflammatory reactions. In this article, we have reviewed the prospects and the limitations of the SCID mouse model of psoriasis.

Calcitriol is well known for its therapeutic efficacy in psoriasis, but its mechanism of action is still unclear. In this study, we tried to elucidate the precise mechanism of calcitriol for its therapeutic efficacy in psoriasis. Proliferation and apoptosis studies were done to determine the effect of calcitriol on normal human epidermal keratinocytes (NHEKs) and T lymphocytes. To elucidate the effect of Calcitriol on relevant chemokines and epidermal proteins of psoriasis, real-time polymerase chain reaction were done on the modified reconstructed human epidermis (RHE) an in vitro model of psoriasis. All experiments were done in triplicate. Results were expressed as mean ± standard error of mean. In vitro, Calcitriol showed significant inhibition of NHEKs and T lymphocyte proliferation by inducing apoptosis of these cells. Moreover, in an in vitro model of psoriasis (RHE), Calcitriol significantly inhibited relevant gene expression of chemokines (Interleukin-8, Regulated upon Activation Normal T-cell Expressed and Secreted [RANTES]) and psoriasin (S100A7). Here, we observed that Calcitriol inhibits critical pathological events associated with the inflammatory-proliferative cascades of psoriasis. Calcitriol induced apoptosis of NHEKs and T lymphocytes as well as inhibited gene expression of relevant chemokines and epidermal proteins in the in vitro model of psoriasis.