Biology subjects

Shakil, S.

Publications and source records attributed to Shakil, S..

6 recordsLinked to original sources

bioRxiv2026

Optimization of Functional Electric Stimulation for Foot Drop Patients using Inertial Measurement Unit.

Many people which are affected by drop foot syndrome, have to face difficulty while walking which leads to pathological gait. This type of syndrome is treated by means of an external artificial stimulation known as functional electric stimulator (FES). In this paper we are designing an online feedback control system which optimize the strength of a FES given to paretic muscle which results in correction of pathological gait of the patient in a tolerable domain. Different phases of gait are identified using inertial measurement unit (IMU) as a feedback sensor mounted on the foot. Data is collected form 8 different healthy subjects and average of collected data is used as a reference template. Different trajectories of drop foot patients are simulated (due to unavailability of patients) and corrected according to the reference template.

bioengineering↗

bioRxiv2026

MicrowellMicrofluidicsMiner (M3): Leverage Large Language Model Agents for Knowledge Mining of Microwell Microfluidics

Microwell microfluidics has emerged as powerful platforms for high-precision biological and chemical investigations, bridging microscale fluid handling with compartmentalized reaction environments. Achieving robust and reproducible performance in such studies requires substantial effort to optimize microwell array design. This burden could be markedly alleviated by the availability of a curated database of microwell array parameters. Such a resource would enable the application of machine-learning models for performance prediction and automated design, leveraging knowledge accumulated from prior microfluidics research. However, constructing such a database entails a considerable investment of time and extensive manual curation, as microwell performance is governed by numerous critical design parameters that are reported inconsistently across a broad and largely unstructured body of literature. In this study, we introduce MicrowellMicrofluidicsMiner (M3), a framework that employs large language model (LLM) agents for autonomous knowledge extraction in microwell microfluidics. To evaluate its performance, we curate a ground-truth database and establish an LLM-driven assessment approach. Our results demonstrate that M3 achieves a peak accuracy of approximately 78%, representing more than a twofold improvement over the lowest observed accuracy (32%) obtained using a standalone LLM model (LLAMA 3.1). This study provides a foundational reference for researchers seeking to apply LLM agents to data-driven microfluidics research. The insights presented have the potential to substantially improve how scientists across microfluidics-related disciplines access, interpret, and leverage scientific information, thereby accelerating the development of innovative microfluidic devices and associated discoveries.

bioengineering↗

bioRxiv2025

Dynamic remodeling of the pancreas immune landscape in obesity.

Obesity is a known risk factor for diseases of the pancreas, including diabetes, pancreatic cancer and pancreatitis, but mechanisms remain unclear. To elucidate how obesity impacts pancreatic immune homeostasis, we performed spatial, transcriptomic and functional profiling of human pancreatic immune cells from obese and non-obese organ donors. Obesity was associated with higher density of tissue resident memory T-cells (TRM) in the exocrine pancreas which display high cytotoxic functions and aggregated around macrophages. Single cell sequencing of pancreatic macrophages revealed two main subsets - FOLR2+ CD11c- fetal-derived macrophages with pro-repair and immunoregulatory function and a FOLR2- CD11c+ monocyte-derived macrophages with greater T-cell interactions and pro-inflammatory function. In obesity, the pancreatic macrophage landscape shifts to lower predominance of FOLR2+ CD11c- macrophages and higher FOLR2- CD11c+ macrophages which interact selectively with the TRM and inflamed exocrine epithelium. Together, these results identify macrophage-T cell circuits and immune epithelial interactions that fuel chronic pancreatic inflammation in obesity - a potential unifying mechanism for obesity-related pancreatic diseases.

immunology↗

bioRxiv2024

Causality Mapping Using Resting-state fMRI Reveals Hyperactivity and Hypoconnectivity in Schizophrenia Patients

Schizophrenia (SZ) is a debilitating disorder in which patients exhibit psychotic behavior due to aberrant connectivity between different regions of the brain. Advances in neuroimaging have now enabled the diagnosis and analysis of SZ in order to elucidate the whole brain functional connectivity networks. In the present study, we have used resting-state functional magnetic resonance imaging (rs-fMRI) to elucidate the causal relationships amongst the differentially activated brain regions between SZ patients (n=10) and healthy controls (n=10). Vector auto-regression (VAR) model and Granger causality (GC) were then applied to construct a functional connectivity network and analyze the causal effects in SZ patients. Our results revealed that the average voxel activation in the frontal lobe (FL), basal ganglia (BG), and ventricular system (VS) was significantly higher in patients indicating hyper-activity as compared to controls. Conversely, cerebellum white matter (CBWM) showed higher activation in the controls as compared to patients. A higher Pearson correlation was observed between the controls as compared to patients while VAR and GC showed higher functional connectivity among all the regions of interest (ROIs) along with more causal relations in the controls. Finally, mediation analysis showed that right middle superior frontal gyrus acts as a strong partial mediator between left accumbens area and left middle superior frontal gyrus. Taken together, this study decodes the dysregulated brain activity in schizophrenia showing hyperactivation in patients when compared with the healthy controls which leads to alterations in neural connections resulting in hypoconnectivity.

neuroscience↗

bioRxiv2022

Differential Requirement of DICER1 Activity during Development of Mitral and Tricuspid Valves

Mitral and tricuspid valves are essential for unidirectional blood flow in the heart. They are derived from similar cell sources, and yet congenital dysplasia affecting both valves is clinically rare, suggesting the presence of differential regulatory mechanisms underlying their development. We specifically inactivated Dicer1 in the endocardium during cardiogenesis, and unexpectedly found that Dicer1-deletion caused congenital mitral valve stenosis and regurgitation, while it had no impact on other valves. We showed that hyperplastic mitral valves were caused by abnormal condensation and extracellular matrix (ECM) remodeling. Our single-cell RNA Sequencing analysis revealed impaired maturation of mesenchymal cells and abnormal expression of ECM genes in mutant mitral valves. Furthermore, expression of a set of miRNAs that target ECM genes was significantly lower in tricuspid valves compared to mitral valves, consistent with the idea that the miRNAs are differentially required for mitral and tricuspid valve development. Our study thus reveals miRNA-mediated gene regulation as a novel molecular mechanism that differentially regulates mitral and tricuspid valve development, thereby enhancing our understanding of the non-association of inborn mitral and tricuspid dysplasia observed clinically. Summary statementAlthough mitral and tricuspid heart valves are both derived from same cell sources in the atrioventricular region through similar initiation and remodeling processes, congenital dysplasia simultaneously affecting both valves is clinically uncommon. We show that DICER1 activity is only essential for mitral valve development whereas it is dispensable for other valves. Our study thus reveals miRNA-mediated gene regulation as a novel molecular mechanism that is differentially required to regulate mitral and tricuspid valve development, thereby enhancing our understanding of the non-association of inborn mitral and tricuspid dysplasia observed clinically.

developmental biology↗

bioRxiv2017

Instantaneous Brain Dynamics Mapped to a Continuous State Space

Measures of whole-brain activity, from techniques such as functional Magnetic Resonance Imaging, provide a means to observe the brains dynamical operations. However, interpretation of whole-brain dynamics has been stymied by the inherently high-dimensional structure of brain activity. The present research addresses this challenge through a series of scale transformations in the spectral, spatial, and relational domains. Instantaneous multispectral dynamics are first developed from input data via a wavelet filter bank. Voxel-level signals are then projected onto a representative set of spatially independent components. The correlation distance over the instantaneous wavelet-ICA state vectors is a graph that may be embedded onto a lower-dimensional space to assist the interpretation of state-space dynamics. Applying this procedure to a large sample of resting and task data (acquired through the Human Connectome Project), we segment the empirical state space into a continuum of stimulus-dependent brain states. We also demonstrate that resting brain activity includes brain states that are very similar to those adopted during some tasks, as well as brain states that are distinct from experimentally-defined tasks. Back-projection of segmented brain states onto the brains surface reveals the patterns of brain activity that support each experimental state.

neuroscience↗