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Ahmed, W.

Publications and source records attributed to Ahmed, W..

15 recordsLinked to original sources

Proteomic identification and validation of novel neuronal EV-based markers for Alzheimers disease biomarker discovery

Extracellular vesicles (EVs) circulate in biofluids and carry tissue-specific molecular cargo, offering significant potential for the discovery of minimally invasive biomarkers. However, translation in neurodegenerative diseases has been hindered by the lack of validated neuronal EV surface markers that enable selective isolation from plasma. We hypothesized that proteomic profiling of EVs released from human induced pluripotent stem cell (hiPSC)-derived neurons would identify 1. robust Alzheimers disease (AD)-associated signatures that reflect disease pathogenesis, and 2. surface-accessible neuronal markers capable of enriching disease-relevant cargo. Neurons differentiated from AD patients and age-matched cognitively normal (CN) individuals were used to isolate EVs, which were characterized and analyzed by LC-MS proteomics in both total and membrane-enriched fractions. Proteomic profiling identified numerous dysregulated proteins, with a subset validated across independent AD datasets. We identified CNTNAP2 and STX1B as neuronal, brain-enriched EV surface proteins accessible for selective capture and confirmed their presence in EVs from post-mortem human brain, supporting them as bona fide brain-derived EV markers. Immuno-isolation of plasma EVs showed that CNTNAP2-positive EVs had a robust AD-associated increase in phosphorylated tau, identifying CNTNAP2 as a highly discriminative brain-derived EV marker and supporting its potential for blood-based AD diagnostics. Graphical AbstractPrevious studies indicate that extracellular vesicles (EVs) released from neurons carry disease-relevant cargo, yet the search for the optimal neuronal surface markers for the selective isolation of EVs pertinent to Alzheimers disease (AD) from blood is ongoing. To address this need, we performed proteomic profiling of EVs derived from hiPSC-neurons (iNEVs) of AD patients and cognitively normal individuals (CN). LC-MS analysis of whole and membrane-enriched EV fractions revealed robust protein dysregulation and identified CNTNAP2 and STX1B as surface-exposed neuronal EV proteins, confirmed in human brain-derived EVs (BDEVs). Immuno-isolation of plasma EVs demonstrated that CNTNAP2-positive EVs are enriched for phosphorylated tau in AD, whereas the previously used markers; NrCAM and ATP1A3-positive EVs showed limited discrimination. These findings establish a robust framework for proteomic discovery and nominate CNTNAP2 as a promising EV selection marker for blood-based AD diagnostics. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=146 SRC="FIGDIR/small/720870v1_ufig1.gif" ALT="Figure 1"> View larger version (48K): org.highwire.dtl.DTLVardef@754b45org.highwire.dtl.DTLVardef@a0a566org.highwire.dtl.DTLVardef@cb0134org.highwire.dtl.DTLVardef@1bc0275_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗

The ENL-USP7 Complex Regulates HIV Latency Through BRD4 Stabilization

HIV-1 persists in CD4 T cells and brain microglia through host factors that enforce viral latency, yet the mechanisms that stabilize key transcriptional regulators remain incompletely understood. Here, we identify the YEATS domain-containing protein ENL and its associated deubiquitinase USP7 as a host complex that maintains HIV-1 latency. USP7 stabilizes BRD4 by deubiquitination, suppressing HIV transcription and sustaining viral quiescence. Disruption of the ENL-USP7 complex using selective PROTACs reactivates latent HIV in cell line models, as well as in resting CD4 T cells and microglia isolated from people with HIV on antiretroviral therapy. These findings uncover a critical ENL-USP7-BRD4 axis that enforces HIV-1 latency and highlight USP7 as a potential target for latency-reversing strategies. HighlightsO_LIENL, a YEATS domain-containing crotonylation reader, acts as a suppressor rather than an activator of HIV-1 transcription. C_LIO_LIENL recruits USP7 to stabilize BRD4 and enforce viral latency. C_LIO_LIDisruption of the ENL-USP7-BRD4 axis reactivates latent HIV in T cells and microglia. C_LIO_LITargeting USP7 or ENL reveals a therapeutic vulnerability in HIV reservoirs. C_LI

microbiology↗

DNA fragment length analysis using machine learning assisted vibrational spectroscopy

DNA length analysis is essential for genomic workflows including next-generation sequencing and fragmentomics based diagnostics. Conventional approaches typically require large, expensive instrumentation and sample-destructive protocols with long processing times. Here we present a rapid, label-free approach integrating vibrational spectroscopy with deep learning to quantify DNA fragment length distributions. We demonstrate that ATR-FTIR and Raman spectroscopy capture length-dependent spectral features arising from phosphate backbone, nucleobase, and structural vibrations. Machine learning models trained on spectra acquired from purified monodisperse DNA (50-300 bp) predicted DNA length with high accuracy (R2=0.92-0.94), with multimodal fusion improving performance to R2=0.96. A convolutional neural network trained on 35 DNA mixtures comprising molecules of different lengths also successfully deconvoluted their fragment length profile. Transfer learning enabled adaptation to biological samples, achieving low prediction error (RMSE=0.3-7.2%, {Delta}=12 bp). Importantly, the method requires only 4 L sample and 15 minutes passive drying, with no consumables beyond cleaning materials, and allows full sample recovery. This establishes vibrational spectroscopy as a scalable alternative for DNA length quantification.

bioinformatics↗

Detection of Japanese Encephalitis (JE) Virus in Piggery effluent from an Australian Farm Prior to Outbreaks of JE

Japanese encephalitis virus (JEV), a mosquito-borne orthoflavivirus, raises concerns about its seasonal re-emergence. Pigs are a major amplifying host and JEV infection can manifest as significant reproductive disease and losses, necessitating robust surveillance. This study evaluated effluent surveillance for early JEV detection in piggery effluent from a Victorian farm between December 2024 and March 2025. Effluent samples were tested using JEV-specific real-time reverse transcription (RT)-PCR, with positive detections found on four separate sampling days, despite an absence of clinical signs in livestock through the testing period. Subsequent veterinary investigations for JEV in litters born on 17/05/2025 (suspect cases only) aligned with a positive effluent sample collected during the estimated JEV infection exposure periods of the sows. With the single clinically confirmed JEV case (which farrowed on 1/06/2025) collection of the same positive effluent sample fell just outside, but near, the estimated exposure period for the affected sow. These findings highlight ability of effluent monitoring to detect JEV infection 2 to 4 months before clinical manifestations present, offering potential for a non-invasive, herd-level early warning system. Intermittent detections may suggest limitations in grab sampling and low viral loads in effluent samples. Integrating effluent surveillance with veterinary clinical testing of litters suspected of being exposed to JEV or during high-risk periods could enhance JEV management in Australias enzootic regions, supporting One Health strategies.

molecular biology↗

The tyrosine kinase inhibitor GNF-7 targets senescent cells through allosteric activation of GCN2.

The one-two-punch approach refers to the sequential administration of two different chemotherapies, the second of which targets cancer cells that resisted the initial treatment. To find such a second punch, we performed a chemical screen to find drugs that are preferentially toxic for cells with an activated DNA damage response (DDR). This screen identified the tyrosine kinase inhibitor GNF-7 as a top hit. Subsequent work revealed that GNF-7 is a potent senolytic, even when senescence is triggered by therapies that do not activate the DDR. Consistently, GNF-7 is highly efficacious to kill cancer cells previously treated with CDK4/6 inhibitors, including in patient-derived organoids and mouse xenografts. Surprisingly, the senolytic effect of GNF-7 is not mediated by the inhibition of a tyrosine kinase (TK), but rather by the activation of GCN2, an effect previously reported for other TK inhibitors. Together, our study reports the discovery of a novel senolytic agent that strongly synergizes with CDK4/6 inhibitors when applied sequentially and expands our understanding of the mechanisms behind the anticancer effects of TK inhibitors.

cancer biology↗

In-situ calibration of passive samplers for monitoring host-associated fecal markers in an urban river

Passive sampling in aquatic environments has shown promise as a time- and cost-efficient method with improved sensitivity for detecting microbial pollution in dynamic and variable conditions. However, quantitative descriptions of its field performance have been scarce, impeding its broader application in environmental settings. The performance of two membrane-based passive samplers (Torpedo and MSTFlow) in quantifying human (Carjivirus, Pepper Mild Mottle Virus [PMMoV], Tomato Brown Rugose Fruit Virus [ToBRFV]) and avian (Helicobacter spp. GFD marker) fecal pollution markers in an urban riverine environment over a 72-h deployment was evaluated using a first-order kinetic model to characterize their microbial adsorption characteristics. Results were compared with those from parallel composite and time-weighted auto-sampling. Accumulation in passive samplers exhibited an initial lag phase (0 to 8 h for viruses) and reached equilibrium within 16 h of initial deployment, except for GFD. Sampling rates were highest for PMMoV (6.29 and 5.11 mL/h) for MSTFlow and Torpedo samplers respectively, followed by Carjivirus (4.63 and 3.63 mL/h), ToBRFV (2.17 and 1.22 mL/h) and GFD (0.68 mL/h in Torpedo sampler). At equilibrium, both sampler configurations accumulated more than 22-170 times the amount of target gene copies in each mL of grab water samples depending on sampler and virus. These findings highlight passive sampling as a promising, sensitive, cost-effective, and low-maintenance alternative for continuous microbial water quality monitoring in aquatic environments. Overall, this study advances the understanding of passive sampling kinetics and supports broader adoption of passive samplers for tracking fecal pollution in environmental waters.

microbiology↗

Surveillance of Japanese Encephalitis Virus in Piggery Effluent and Environmental Samples: A Complementary Tool for Outbreak Detection

Japanese encephalitis virus (JEV) is an emerging public health and biosecurity concern in Australia, with recent human cases and detections in mosquitoes and pigs across multiple states highlight the risk to susceptible human and animal populations. While traditional surveillance methods such as mosquito trapping, sentinel chicken programs and direct testing of pig specimens remain essential, monitoring effluent offers a valuable complementary approach for detecting infections within animal populations. This study presents the first evidence of JEV in Australian piggery effluents/environmental waters, demonstrating the feasibility of effluent and environmental water surveillance for JEV monitoring. Effluent/environmental samples from multiple piggery sites were analyzed using real-time reverse transcription polymerase chain reaction (RT-PCR), revealing the presence of JEV genetic fragments in solid and liquid fractions of effluents at three farms, with corresponding veterinary cases in some herds. Viral RNA was detected more frequently in solid fraction of effluent samples, aligning with previous findings on the partitioning behaviour of mosquito-borne viruses. The detection of JEV in the borrow pit (i.e., a man-made excavation that holds water) water sample highlights potential transmission pathways via mosquito vectors. These findings demonstrate the value of effluent monitoring as an additional tool for JEV surveillance in piggery settings, supporting potential early warning systems and mitigation strategies. Integrating effluent-based monitoring with traditional surveillance approaches could improve livestock industry related disease detection, risk assessments, and response efforts for human and animal health in endemic and emerging regions. Wastewater/effluent surveillance may have important applications for the management of a wide range of emerging animal diseases. IMPORTANCEThis study presents the first evidence of Japanese encephalitis virus (JEV) detection in Australian piggery effluents, establishing effluent surveillance as a valuable complementary tool for monitoring viral pathogens in animal populations. Our findings support the integration of effluent monitoring with traditional surveillance systems to improve early warning capabilities, enhance biosecurity, and mitigate risks to both animal and human health.

molecular biology↗

Multi-echo Acquisition and Thermal Denoising Advances Infant Precision Functional Imaging

The characterization of individual functional brain organization with Precision Functional Mapping has provided important insights in recent years in adults. However, little is known about the ontogeny of inter-individual differences in brain functional organization during human development. Precise characterization of systems organization during periods of high plasticity is likely to be essential for discoveries promoting lifelong health. Obtaining precision fMRI data during development has unique challenges that highlight the importance of establishing new methods to improve data acquisition, processing, and analysis. Here, we investigate two methods that can facilitate attaining this goal: multi-echo (ME) data acquisition and thermal noise removal with Noise Reduction with Distribution Corrected (NORDIC) principal component analysis. We applied these methods to precision fMRI data from adults, children, and newborn infants. In adults, both ME acquisitions and NORDIC increased temporal signal to noise ratio (tSNR) as well as the split-half reliability of functional connectivity matrices, with the combination helping more than either technique alone. The benefits of NORDIC denoising replicated in both our developmental samples. ME acquisitions revealed longer and more variable T2* relaxation times across the brain in infants relative to older children and adults, leading to major differences in the echo weighting for optimally combining ME data. This result suggests ME acquisitions may be a promising tool for optimizing developmental fMRI, albeit application in infants needs further investigation. The present work showcases methodological advances that improve Precision Functional Mapping in adults and developmental populations and, at the same time, highlights the need for further improvements in infant specific fMRI.

neuroscience↗

Antibiotic and novel compounds manipulation in vitro collagen matrix cells changes extracellular matrix non-complete cell division of fibroblast cells as new dermology technology

Fibroblasts are several cells that are essential for human skin function and regulation process, the underfeed cells are a further issue of skin disorder the current study was based on isolated novel antibiotics compounds comparison of (Chloramphenicol IV) with the changes of Extracellular matrix (RC), inflammatory cells (SC) and non-complete cell division (ICD) effects on fibroblasts cell changes with the cell wall in structural and morphological changes. The new antibiotic compounds were measured and characters in (FTIR) methods with their functional groups analysis of bioactive compounds from Adhatoda vasica and Calotropis procera plants and their effective inhibition concentrations (I C50) extracts against tyrosinase conditions with their activity in vitro enzymatic process, both extracts have higher enzymatic inhibition assay was assessed. The fibroblast cells were compared with Chloramphenicol IV antibiotics with extracted compounds the cell wall was indiscretion and complete shape and structural changes were measured. The higher values of Diphenolase (22.5 g/mL) was noted in Adhatoda vasica while an IC50 value of Monophenolase was 19.16 g/mL, which is helpful in the treatment of fibroblast cell disorders, were higher in collagenase inhibition assay, elastase inhibition assay, hyaluronidase inhibition assay, tyrosinase inhibition assay process. It was concluded that novel antibiotics compounds from species could act an as effective role in fibroblast were used in future medicines as sources of locations and creams to control various skin diseases and skin disorder managements processes.

pharmacology and toxicology↗

TISON: a next-generation multi-scale modeling theatre for in silico systems oncology

Multi-scale models integrating biomolecular data from genetic, transcriptional, and translational levels, coupled with extracellular microenvironments can assist in decoding the complex mechanisms underlying system-level diseases such as cancer. To investigate the emergent properties and clinical translation of such cancer models, we present Theatre for in silico Systems Oncology (TISON, https://tison.lums.edu.pk), a next-generation web-based multi-scale modeling and simulation platform for in silico systems oncology. TISON provides a "zero-code" environment for multi-scale model development by seamlessly coupling scale-specific information from biomolecular networks, microenvironments, cell decision circuits, in silico cell lines, and organoid geometries. To compute the temporal evolution of multi-scale models, a simulation engine and data analysis features are also provided. Furthermore, TISON integrates patient-specific gene expression data to evaluate patient-centric models towards personalized therapeutics. Several literature-based case studies have been developed to exemplify and validate TISONs modeling and analysis capabilities. TISON provides a cutting-edge multi-scale modeling pipeline for scale-specific as well as integrative systems oncology that can assist in drug target discovery, repositioning, and development of personalized therapeutics.

systems biology↗

Stable Interaction Of The UK B.1.1.7 lineage SARS-CoV-2 S1 Spike N501Y Mutant With ACE2 Revealed By Molecular Dynamics Simulation

Corona Virus Disease of 2019 (COVID-19) caused by Severe Acute Respiratory Syndrome Corona Virus 2 (SARS-CoV-2) has caused a massive health crisis across the globe, with some genetic variants gaining enhanced infectivity and competitive fitness, and thus significantly aggravating the global health concern. In this regard, the recent SARS-CoV-2 alpha variant, B.1.1.7 lineage, reported from the United Kingdom (UK), is of great significance in that it contains several mutations that increase its infection and transmission rates as evident from clinical reports. Specifically, the N501Y mutation in the SARS-CoV-2 spike S1 receptor binding domain (S1-RBD) has been shown to possess an increased affinity for ACE2, although the basis for this is not entirely clear yet. Here, we dissect the mechanism underlying the increased affinity using molecular dynamics (MD) simulations of the available ACE2-S1-RBD complex structure (6M0J) and show a prolonged and stable interfacial interaction of the N501Y mutant S1-RBD with ACE2 compared to the wild type S1-RBD. Additionally, we find that the N501Y mutant S1-RBD displays altered dynamics that likely aids in its enhanced interaction with ACE2. By elucidating a mechanistic basis for the increased affinity of the N501Y mutant S1-RBD for ACE2, we believe that the results presented here will aid in developing therapeutic strategies against SARS-CoV-2 including designing drugs targeting the ACE2-S1-RBD interaction. SignificanceThe emergence of the new SARS-CoV-2 lineage in the UK in December 2020 has further aggravated the COVID-19 pandemic due to an increased ability of the variant to infect human hosts, likely due to mutations in the viral S1 spike protein including the N501Y S1-RBD mutation that is located at the interface of S1-RBD and ACE2, the host cell receptor for SARS-CoV-2. Given its location at the interface, N501Y S1-RBD mutation can therefore potentially alter the interfacial interaction. Multiple, all-atom, explicit solvent MD simulations of the ACE2-S1-RBD complex carried here indicated a more stable interaction between the N501Y mutant S1-RBD and ACE2 through stabilizing interfacial interactions of residues at one end of the interface that are either sequentially or physically near the mutation site. These mechanistic details will aid in better understanding the mechanism by which the alpha variant has increased infectivity as well as in designing better therapeutics including ACE2-S1 spike protein inhibitors that will, in turn, help thwarting the current and future pandemic. HighlightsO_LIN501 in the wild type SARS-CoV-2 S1-RBD forms unsustained hydrogen bonds with residues in the ACE2, namely Y41 and K353 C_LIO_LIY501 in the N501Y mutant SARS-CoV-2 S1-RBD is not capable of forming substantial hydrogen bonds with ACE2 within the time span of the current simulation C_LIO_LIEvidence from analyzing the simulation results suggests that Y501 of S1-RBD could form other types of non-covalent interactions with ACE2, such as van der Waals interactions C_LIO_LIN501Y S1-RBD mutation stabilizes the position of interfacial residues neighboring to the mutation site, as well as other non-interfacial residues that are distant from the mutation site C_LIO_LIThese altered dynamics results in more stable interaction of S1-RBD with ACE2 which could be the main reason underlying the reported enhanced affinity of S1-RBD in the SARS-CoV-2 alpha variant (UK B.1.1.7 lineage) to ACE2 C_LI

biophysics↗

Superior performance of human wastewater-associated viral markers compared to bacterial markers in tropical environments

Identifying human sewage contamination via microbial source tracking (MST) marker genes has proven useful for effective water quality management worldwide; however, performance evaluations for these genes in tropical areas are limited. Therefore, this research assessed four human-associated MST marker genes in aquatic environments of Central Thailand: human polyomaviruses (JC and BK viruses [HPyVs]), bacteriophage crAssphage (CPQ_056), Lachnospiraceae Lachno3, and Bacteroides BacV6-21. HPyV and crAssphage assays were highly sensitive and specific to sewage (n = 19), with no cross-detection in 120 swine, cattle, chicken, duck, goat, sheep, and buffalo composite fecal samples. Lachno3 and BacV6-21 demonstrated high sensitivity but moderate specificity; however, using both markers could improve specificity to >0.80 (max value of 1.00). The most abundant markers in sewage were Lachno3 and BacV6-21 (5.42-8.02 and non-detected-8.05 log10 copies/100 mL), crAssphage (5.28-7.38 log10 copies/100 mL), and HPyVs (3.66-6.53 log10 copies/100 mL), respectively. HPyVs showed higher levels (up to 4.33 log10 copies/100 mL) and higher detection rates (92.7%) in two coastal beaches (n = 41) than crAssphage (up to 3.51 log10 copies/100 mL and 56.1%). HPyVs were also found at slightly lower levels (up to 5.10 log10 copies/100 mL), but at higher detection rates (92.6%), in a freshwater canal (n = 27) than crAssphage (up to 5.21 log10 copies/100 mL and 88.9%). Overall, both HPyVs and crAssphage are suggested as human sewage-associated MST markers in aquatic environments of Central Thailand. This study underlines the importance of characterizing and validating MST markers in host groups and environmental waters before including them in a water quality management toolbox.

microbiology↗

Producing Human Amniotic Epithelial Cells-only Membrane for Transplantation

Human amniotic epithelial cells (hAECs), as pluripotent stem cells, have characteristics of immune privilege and great clinical potential. Here, we produced hAECs membrane consisting of single-layer hAECs and basal membrane (BM) of human amniotic membrane (hAM). In conventional methods, hAECs were isolated from hAM by repeated trypsin digestion. In this study, collagenase I and cell scraper were used to remove human amniotic mesenchymal stem cells (hAMSCs) from hAM and hAECs-only membranes were produced. These hAECs on the membranes were evaluated by surface biomarkers including epithelial cell adhesion molecule (EpCAM), stage-specific embryonic antigen 4 (SSEA4) and endoglin (CD105), transcriptional level of biomarkers including POU class 5 homeobox 1 (OCT4), sex determining region Y-box 2 (SOX2), fibroblast growth factor 4 (FGF4), immunofluorescence of cytokeratin-8 (CK-8), alpha smooth muscle actin (-SMA) and collagen type I alpha 1 chain (ColA1). Finally, the hAECs membrane were transplanted on skin-removed mice to evaluate its effect on wound healing. In comparison to the hAECs isolated by the conventional methods, the cells isolated by this proposed method had higher purity of hAECs, expressed higher in pluripotency related genes, and maintained an epithelium construction in a long-term culture. In mice application, the hAECs membrane effectively improved the skin wound healing. An efficient method was successfully established to produce hAECs membrane in this work which not only held promise to obtain hAECs in higher purity and quality, but also showed practical clinical potential.

bioengineering↗

SMCHD1 Promotes ATM-dependent DNA Damage Signaling and Repair of Uncapped Telomeres

SMCHD1 (structural maintenance of chromosomes flexible hinge domain containing protein 1) has been implicated in X-chromosome inactivation, imprinting and DNA damage repair. Mutations in SMCHD1 can also cause facioscapulohumoral muscular dystrophy. More recently, SMCHD1 has also been detected as component of telomeric chromatin. Here, we identify requirements of SMCHD1 for DNA damage signaling and non-homologous end joining (NHEJ) at unprotected telomeres. Co-depletion of SMCHD1 with TRF2 reduced the rate of 3 overhang removal in time course experiments and the number of telomere end fusions. In SMCHD1 deficient cells, the formation of ATM pS1981, {gamma}H2AX and 53BP1 containing telomere dysfunction induced foci (TIFs) were diminished indicating defects in checkpoint signaling. Strikingly, removal of TPP1 and subsequent activation of ATR signaling rescued telomere fusion events in TRF2-depleted SMCHD1 knockout cells. Together, these data indicate that SMCHD1 depletion reduces telomere fusions in TRF2-depleted cells due to defects in ATM-dependent DNA checkpoint signaling. SMCHD1 mediates DNA damage signaling activation upstream of ATM phosphorylation at uncapped telomeres.

molecular biology↗

Centering based on active diffusion in mouse oocytes is non-specific

The mechanism for nucleus centering in mouse oocytes results from a gradient of actin-positive vesicles. By microinjecting oil droplets and fluorescent beads, we analyze the consequences of the gradient of activity on transport of exogenous tracer particles of different sizes. We also use optical tweezers to probe rheological properties of the cytoplasm. We find that the gradient activity induces a general centering force, akin to an effective pressure gradient, leading to centering of oil droplets with velocities comparable to nuclear ones. High temporal resolution measurements reveal that passive particles, larger than 1{micro}m, experience the activity gradient by a biased diffusion towards the cell center. Unexpectedly, this general and size dependent mechanism is maintained in Meiosis I but contrasted by a further process that specifically off-centers the spindle. These antagonizing processes depend on myosin activity, thus we reconcile how the same molecular actors can have two opposite functions (centering versus off-centering).

cell biology↗