Publications by authors named "Tooley J"

Cardiac wall motion abnormalities (WMA) are strong predictors of mortality, but current screening methods using Q waves from electrocardiograms (ECGs) have limited accuracy and vary across racial and ethnic groups. This study aimed to identify novel ECG features using deep learning to enhance WMA detection, referencing echocardiography as the gold standard. We collected ECG and echocardiogram data from 35,210 patients in California and labeled WMA using unstructured language parsing of echocardiographic reports.

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  • This study investigates whether simpler models using standard ECG measurements can effectively detect left ventricular systolic dysfunction (LVSD) compared to complex deep learning methods.
  • Analyzing a dataset of nearly 41,000 ECGs, researchers found that a random forest model and a logistic regression model both achieved high accuracy in detecting LVSD, with performance comparable todeep learning models.
  • The findings suggest that simpler ECG models are not only effective but also easier to implement and interpret in clinical settings, making them potentially more suitable for widespread use.
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CRISPR/Cas9 gene editing represents an exciting avenue to study genes of unknown function and can be combined with genetically encoded tools such as fluorescent proteins, channelrhodopsins, DREADDs, and various biosensors to more deeply probe the function of these genes in different cell types. However, current strategies to also manipulate or visualize edited cells are challenging due to the large size of Cas9 proteins and the limited packaging capacity of adeno-associated viruses (AAVs). To overcome these constraints, we developed an alternative gene editing strategy using a single AAV vector and mouse lines that express Cre-dependent Cas9 to achieve efficient cell-type specific editing across the nervous system.

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  • * A hypertension management platform was developed through careful analysis of clinician workflows and needs, incorporating input from 5 Stanford clinicians and a team of 15 specialists across various fields.
  • * The platform aims to enhance chronic disease management by integrating digital health tools, offering a model that can be adapted for other cardiovascular digital health solutions.
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  • Existing preoperative risk assessments are inadequate at predicting postoperative mortality, but deep-learning analysis of ECGs can highlight hidden risk factors.
  • A deep-learning algorithm was developed using ECG data from nearly 46,000 patients to more accurately forecast postoperative mortality, and its performance was compared to the Revised Cardiac Risk Index (RCRI).
  • In testing, the algorithm achieved an AUC of 0.83, significantly outperforming the RCRI score (AUC of 0.67), indicating its effectiveness across multiple health-care systems.
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Gene manipulation strategies using germline knockout, conditional knockout, and more recently CRISPR/Cas9 are crucial tools for advancing our understanding of the nervous system. However, traditional gene knockout approaches can be costly and time consuming, may lack cell-type specificity, and can induce germline recombination. Viral gene editing presents and an exciting alternative to more rapidly study genes of unknown function; however, current strategies to also manipulate or visualize edited cells are challenging due to the large size of Cas9 proteins and the limited packaging capacity of adeno-associated viruses (AAVs).

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  • The electrocardiogram (ECG) is a common test to assess heart health, but its long-term predictive value for cardiovascular risks has been uncertain.
  • Researchers developed SEER, a deep learning model that analyzes resting ECGs to estimate long-term cardiovascular mortality risk, achieving high accuracy in predictions.
  • SEER not only identifies patients at higher risk for cardiovascular diseases but also enhances existing risk assessment methods, revealing previously unrecognized patients who may need treatment like statin therapy.
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In vitro methyltransferase assays have traditionally been carried out with tritiated S-adenosyl-methionine (SAM) as the methyl donor, as site-specific methylation antibodies are not always available for Western or dot blots and structural requirements of many methyltransferases prohibit the use of peptide substrates in luminescent or colorimetric assays. The discovery of the first N-terminal methyltransferase, METTL11A, has allowed for a second look at non-radioactive in vitro methyltransferase assays, as N-terminal methylation is amenable to antibody production and the limited structural requirements of METTL11A allow for its methylation of peptide substrates. We have used a combination of Western blots and luminescent assays to verify substrates of METTL11A and the two other known N-terminal methyltransferases, METTL11B and METTL13.

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Use of prescription opioids, particularly oxycodone, is an initiating factor driving the current opioid epidemic. There are several challenges with modelling oxycodone abuse. First, prescription opioids including oxycodone are orally self-administered and have different pharmacokinetics and dynamics than morphine or fentanyl, which have been more commonly used in rodent research.

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The methyltransferase-like (METTL) family is a diverse group of methyltransferases that can methylate nucleotides, proteins, and small molecules. Despite this diverse array of substrates, they all share a characteristic seven-beta-strand catalytic domain, and recent evidence suggests many also share an important role in stem cell biology. The most well characterized family members METTL3 and METTL14 dimerize to form an N-methyladenosine (mA) RNA methyltransferase with established roles in cancer progression.

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  • Researchers developed EchoNet-Labs, a deep learning algorithm that analyzes echocardiogram videos to detect various blood biomarkers, surpassing traditional imaging methods.
  • The study tested this model on over 39,000 patients to predict conditions like anemia and elevated BNP using data from Stanford, achieving impressive accuracy metrics.
  • EchoNet-Labs showed strong results, with AUC values ranging from 0.69 to 0.86 for different biomarkers, indicating its potential to enhance disease understanding and laboratory test evaluations.
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The N-terminal methyltransferase NRMT1 is an important regulator of protein/DNA interactions and plays a role in many cellular processes, including mitosis, cell cycle progression, chromatin organization, DNA damage repair, and transcriptional regulation. Accordingly, loss of NRMT1 results in both developmental pathologies and oncogenic phenotypes. Though NRMT1 plays such important and diverse roles in the cell, little is known about its own regulation.

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  • - Atrial fibrillation is a common heart condition that can lead to serious health issues and reduced quality of life, and mobile health devices are now widely used to detect it through various methods.
  • - Large-scale screening using these devices has been found to identify more cases than standard care, but there is still debate about its necessity, especially in older populations at higher risk.
  • - As younger individuals increasingly adopt mobile health devices, there's potential for more cases of early-onset atrial fibrillation to be identified, highlighting the need for physicians to understand these technologies, their risks, and how to manage patients diagnosed through them.
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The nucleus accumbens shell (NAcSh) and the ventral pallidum (VP) are critical for reward processing, although the question of how coordinated activity within these nuclei orchestrates reward valuation and consumption remains unclear. Inhibition of NAcSh firing is necessary for reward consumption, but the source of this inhibition remains unknown. Here, we report that a subpopulation of VP neurons, the ventral arkypallidal (vArky) neurons, project back to the NAcSh, where they inhibit NAcSh neurons in vivo in mice.

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Importance: Evidence regarding corticosteroid use for severe coronavirus disease 2019 (COVID-19) is limited.

Objective: To determine whether hydrocortisone improves outcome for patients with severe COVID-19.

Design, Setting, And Participants: An ongoing adaptive platform trial testing multiple interventions within multiple therapeutic domains, for example, antiviral agents, corticosteroids, or immunoglobulin.

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Measuring ingestive behavior of liquids in rodents is commonly used in studies of reward, metabolism, and circadian biology. Common approaches for measuring liquid intake in real time include computer-tethered lickometers or video-based systems. Additionally, liquids can be measured or weighed to determine the amount consumed without real-time sensing.

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  • Antiarrhythmic drugs for atrial fibrillation (AF) can lead to dangerous heart rhythm issues, emphasizing the need for accurate QT interval measurement methods.
  • A study at Stanford Hospital compared various QT measurement methods and correction formulas to determine the best approach, finding that Bazett’s formula provided the longest corrected QT interval in AF.
  • The research concluded that analyzing QT over multiple heartbeats yields more precise results, with differences between QT intervals in AF and sinus rhythm largely attributable to flaws in heart rate correction rather than AF's direct impact.
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Reward drives motivated behaviours and is essential for survival, and therefore there is strong evolutionary pressure to retain contextual information about rewarding stimuli. This drive may be abnormally strong, such as in addiction, or weak, such as in depression, in which anhedonia (loss of pleasure in response to rewarding stimuli) is a prominent symptom. Hippocampal input to the shell of the nucleus accumbens (NAc) is important for driving NAc activity and activity-dependent modulation of the strength of this input may contribute to the proper regulation of goal-directed behaviours.

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Responding to aversive and rewarding stimuli is essential to survival. The ventral pallidum (VP) is a critical node in the mesolimbic network, being the primary output of the nucleus accumbens and projecting to the lateral habenula (LHb) and ventral tegmental area (VTA). The VP is thus poised to modulate the habenula-tegmental circuitry and contribute to processing both rewarding and aversive stimuli.

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  • Abdominoperineal resection (APR) is a surgical procedure for rectal cancer that has a high complication rate, with laparoscopic approaches gaining popularity over traditional open methods.
  • A study analyzed data from 7,681 patients to compare the complications of open and laparoscopic APR, finding a significantly lower complication rate in laparoscopic procedures (36% vs. 50.1%).
  • Key findings showed laparoscopic APR had fewer blood transfusions and infections, a shorter hospital stay, and a lower reoperation rate, suggesting it may be a safer option for patients needing this surgery.
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Deciphering the histone code has illustrated that acetylation or methylation on the same residue can have analogous or opposing roles. However, little is known about the interplay between these post-translational modifications (PTMs) on the same nonhistone residues. We have recently discovered that N-terminal acetyltransferases (NATs) and N-terminal methyltransferases (NRMTs) can have overlapping substrates and identified myosin regulatory light chain 9 (MYL9) as the first confirmed protein to occur in either α-amino-methylated (Nα-methyl) or α-amino-acetylated (Nα-acetyl) states Here we aim to determine if these PTMs function similarly or create different MYL9 proteoforms with distinct roles.

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Background: The ability to appropriately integrate and respond to rewarding and aversive stimuli is essential for survival. The ventral pallidum (VP) plays a critical role in processing both rewarding and aversive stimuli. However, the VP is a heterogeneous structure, and how VP subpopulations integrate into larger reward networks to ultimately modulate these behaviors is not known.

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