Publications by authors named "M Snowden"

Article Synopsis
  • - Mechanistically targeted behavioral interventions, like problem-solving therapy, can improve depression outcomes by modifying neural circuits, which is especially essential for vulnerable groups with comorbid conditions such as obesity.
  • - The study used functional magnetic resonance imaging to track cognitive control circuit activity in participants over 24 months, revealing that reduced activity in this circuit linked to better problem-solving skills and lower depression symptoms.
  • - Changes in cognitive control circuit activity at 2 months were effective predictors for later improvements in problem-solving and depression, indicating a need for refining these circuit-based models for better clinical use.
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Streptococcus pyogenes Cas9 (SpCas9) and derived enzymes are widely used as genome editors, but their promiscuous nuclease activity often induces undesired mutations and chromosomal rearrangements. Several strategies for mapping off-target effects have emerged, but they suffer from limited sensitivity. To increase the detection sensitivity, we develop an off-target assessment workflow that uses Duplex Sequencing.

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Depression remains a major public health issue for older adults, increasing risk of costly health services utilization. While home-based collaborative care models (CCM) like PEARLS have been shown to effectively treat depression in low-income older adults living with multiple chronic conditions, their economic impact is unclear. We conducted a quasi-experimental study to estimate PEARLS effect on health service utilization among low-income older adults.

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Background: Embedding evidenced-based programs (EBPs) like PEARLS outside clinical settings can help reduce inequities in access to depression care. Trusted community-based organizations (CBOs) reach older adults who are underserved; however, PEARLS adoption has been limited. Implementation science has tried to close this know-do gap, however a more intentional focus on equity is needed to engage CBOs.

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Article Synopsis
  • Scientists studied a lot of people's genes to see if certain gene changes were linked to diabetes.
  • They found out that some people with these gene changes were less likely to get diabetes, even if they were overweight.
  • They also saw that a specific gene change in Finnish people was connected to having lower chances of both types of diabetes and didn't cause any bad health effects.
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