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Wells, J. D.

Publications and source records attributed to Wells, J. D..

2 recordsLinked to original sources

Unraveling forensic timelines using molecular markers in Phormia regina maggots

In forensic entomology, estimating the time of death is critical and traditionally relies on changes in observable traits of carrion feeding insect larvae. Traits such as size, weight, and morphology can be used to predict the insect specimen age and help estimate the time since death. The blowfly Phormia regina is a key forensic insect, yet age estimation for older maggots in this species is particularly challenging due to the limited morphological changes in the late-stage larvae. To enhance precision, we employed transcriptomic profiling on blowfly maggots, aiming to identify genes as markers for time of death estimation. Our study characterized maggot development, reinforcing that weight and behavior cannot precisely determine age between 100 and 130 hours. We built a chromosomal scale annotated genome, establishing a reliable database for uncovering transcriptomic signatures during larval development. Applying differential gene expression analyses, weighted gene co-expression network analysis, and the generalized linear model, we identified nine candidate genes (Y5078, Y5076, agt2, ech1, dhb4, asm, gabd, acohc, Ivd) that delineate the age of otherwise indeterminate maggots. This research introduces a molecular approach to address a longstanding problem in forensic entomology and promises to increase precision in determining the time of death at a crime scene. AUTHOR SUMMARYIn forensic entomology, estimating the time of death often depends on insect morphological changes. The blowfly Phormia regina is a key species, but aging older maggots in the third instar larval phase is difficult due to minimal changes in observable traits. To improve accuracy, we used transcriptomic profiling to identify genetic markers for time of death estimation. Our study showed that weight and behavior are not reliable indicators of age in maggots 100 to 130 hours old. We developed an annotated genome to identify transcriptomic signatures during larval development. Through various analyses, we identified nine genes (Y5078, Y5076, agt2, ech1, dhb4, asm, gabd, acohc, Ivd) that can determine the age of late third instar maggots. This molecular approach aims to enhance precision in forensic entomology.

developmental biology↗

AMPK activation by metformin promotes survival of dormant ER+ breast cancer cells

PurposeDespite adjuvant anti-estrogen therapy for patients with estrogen receptor alpha (ER)-positive breast cancer, dormant residual disease can persist for years and eventually cause tumor recurrence. We sought to deduce mechanisms underlying the persistence of dormant cancer cells to identify therapeutic strategies. Experimental DesignMimicking the aromatase inhibitor-induced depletion of estrogen levels used to treat patients, we developed preclinical models of dormancy in ER+ breast cancer induced by estrogen withdrawal in mice. We analyzed tumor xenografts and cultured cancer cells for molecular and cellular responses to estrogen withdrawal and drug treatments. Publicly available clinical breast tumor gene expression datasets were analyzed for responses to neoadjuvant anti-estrogen therapy. ResultsDormant breast cancer cells exhibited upregulated 5 adenosine monophosphate-activated protein kinase (AMPK) levels and activity, and upregulated fatty acid oxidation. While the anti-diabetes AMPK-activating drug metformin slowed the estrogen-driven growth of cells and tumors, metformin promoted the persistence of estrogen-deprived cells and tumors through increased mitochondrial respiration driven by fatty acid oxidation. Pharmacologic or genetic inhibition of AMPK or fatty acid oxidation promoted clearance of dormant residual disease, while dietary fat increased tumor cell survival. ConclusionsAMPK has context-dependent effects in cancer, cautioning against the widespread use of an AMPK activator across disease settings. The development of therapeutics targeting fat metabolism is warranted in ER+ breast cancer. Statement of Translational RelevanceDormant cancer cells that survive adjuvant therapy can ultimately give rise to recurrent/advanced tumors that frequently develop resistance to all approved therapies. Patients with early-stage estrogen receptor alpha (ER)-positive breast cancer are typically treated with surgical resection followed by [≥]5 years of adjuvant anti-estrogen therapy that neutralizes ER and suppresses, but often does not eliminate, tumor-initiating cells. Estrogen withdrawal, which mimics aromatase inhibitor therapy, induced activation of the metabolic sensor 5 adenosine monophosphate-activated protein kinase (AMPK) and upregulated fatty acid oxidation (FAO) in preclinical models. Treatment with the anti-diabetes AMPK-activating drug metformin or high dietary fat intake promoted survival of dormant ER+ breast cancer cells, while anti-anginal drugs that inhibit FAO induced clearance of dormant tumor cells. These findings caution against using AMPK modulators with anti-estrogens in patients with ER+ breast cancer, and warrant testing of FAO inhibitors as anti-cancer agents in combination with anti-estrogens.

cancer biology↗