Search bioRxiv⌕ Search

Biology subjects

Uddin, D.

Publications and source records attributed to Uddin, D..

2 recordsLinked to original sources

A novel hybrid protein promotes Aβ clearance and reduces inflammatory response through MerTK

Alzheimers disease (AD) is the worlds leading cause of dementia and the most common neurodegenerative disorder. Its major pathological features are amyloid beta (A{beta}) plaques, tau tangles, and neuroinflammation that eventually leads to massive death of nerve cells. Even with the multifactorial aspect of AD, the most accepted theory is that A{beta} is the driving force of AD pathogenesis. We engineered a novel hybrid protein that facilitates the phagocytosis of A{beta} and redirect its clearance to the noninflammatory Mer tyrosine kinase (MerTK) pathway. The novel hybrid protein facilitates robust uptake and clearance of A{beta} in BV2 microglia through MerTK receptor with reduced production of inflammatory factors and oxidative products. In APP/PS1 transgenic AD mouse model, intraperitoneal administration of the hybrid protein for two months results in significant reduction of A{beta} burden in the brain and protection of nerve cells from dying. Taken together, our results suggest that the novel hybrid may have the potential for AD treatment by targeting both A{beta} clearance and reduction of inflammation.

molecular biology↗

The geography of malaria elimination in Bangladesh: combining data layers to estimate the spatial spread of parasites

Malaria control programs face difficult resource allocation decisions. Of particular concern for countries aiming for malaria elimination, the regular movement of individuals to and from endemic areas undermines local interventions by reintroducing infections and sustaining local transmission. Quantifying this movement of malaria parasites around a country has become a priority for national control programs, but remains methodologically challenging, particularly in areas with highly mobile populations. Here, we combined multiple data sources to measure the geographical spread of malaria parasites, including epidemiological surveillance data, travel surveys, parasite genetic data, and anonymized mobile phone data. We collected parasite genetic barcodes and travel surveys from 2,090 patients residing in 176 unions in southeast Bangladesh. We developed a genetic mixing index to quantify the likelihood of samples being local or imported. We then inferred the direction and intensity of parasite flow between locations using an epidemiological model, and estimated the proportion of imported cases assuming mobility patterns parameterized using the travel survey and mobile phone calling data. Our results show that each data source provided related but different information about the patterns of geographic spread of parasites. We identify a consistent north/south separation of the Chittagong Hill Tracts region in Bangladesh, and found that in addition to imported infections from forested regions, frequent mixing also occurs in low transmission but highly populated areas in the southwest. Thus, unlike risk maps generated from incidence alone, our maps provide evidence that elimination programs must address ongoing movement of parasites around the lower transmission areas in the southwest.

epidemiology↗