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1.
Arch Dermatol Res ; 316(8): 610, 2024 Sep 11.
Artigo em Inglês | MEDLINE | ID: mdl-39259372

RESUMO

Darier disease and Hailey-Hailey disease are rare autosomal dominant genodermatoses that negatively impact patient quality of life. In addition, they pose challenges to dermatologists who manage these diseases. There is currently no treatment that reliably induces remission for either disease, leaving patients dependent on symptom management. Oral and topical retinoids are the most commonly used therapies but have numerous side effects that often lead to discontinuation or inability to tolerate long-term treatment (Burge and Wilkinson in J Am Acad Dermatol 27:40-50, 1992). Due to the rarity of these diseases, there are no clinical trials investigating treatment options for the persistent flares patients experience. In light of this, dermatologists have tried various methods used in the management of other inflammatory disorders including photodynamic therapy (PDT). A systematic review was conducted to investigate this treatment option which yielded a total of 12 studies that had reported the use of photodynamic therapy (PDT) as a treatment option for Darier or Hailey-Hailey disease. Though results showed that PDT can induce disease remission for up to several months or years, there are many unanswered questions that need to be addressed before adopting PDT as a leading treatment option for those genodermatoses. In particular, cost, tolerability, and efficacy and safety in patients who are skin of color need to be further studied. Lastly, recommendations on treatment duration, number of sessions, photosensitizing agents, lasers, and continuation or discontinuation of topical and systemic medications need to be appraised before formal recommendations can be made.


Assuntos
Doença de Darier , Pênfigo Familiar Benigno , Fotoquimioterapia , Fármacos Fotossensibilizantes , Humanos , Doença de Darier/tratamento farmacológico , Doença de Darier/psicologia , Pênfigo Familiar Benigno/tratamento farmacológico , Pênfigo Familiar Benigno/psicologia , Fotoquimioterapia/métodos , Fotoquimioterapia/efeitos adversos , Fármacos Fotossensibilizantes/administração & dosagem , Fármacos Fotossensibilizantes/efeitos adversos , Qualidade de Vida , Resultado do Tratamento
2.
Cancer Res ; 84(18): 3058-3071, 2024 Sep 16.
Artigo em Inglês | MEDLINE | ID: mdl-38781455

RESUMO

Obesity is a risk factor for pancreatic ductal adenocarcinoma (PDAC), a deadly disease with limited preventive strategies. Lifestyle interventions to decrease obesity represent a potential approach to prevent obesity-associated PDAC. In this study, we examined whether decreasing obesity through physical activity (PA) and/or dietary changes could decrease inflammation in humans and prevent obesity-associated PDAC in mice. Comparison of circulating inflammatory-associated cytokines in subjects (overweight and obese) before and after a PA intervention revealed PA lowered systemic inflammatory cytokines. Mice with pancreatic-specific inducible KrasG12D expression were exposed to PA and/or dietary interventions during and after obesity-associated cancer initiation. In mice with concurrent diet-induced obesity and KrasG12D expression, the PA intervention led to lower weight gain, suppressed systemic inflammation, delayed tumor progression, and decreased proinflammatory signals in the adipose tissue. However, these benefits were not as evident when obesity preceded pancreatic KrasG12D expression. Combining PA with diet-induced weight loss (DI-WL) delayed obesity-associated PDAC progression in the genetically engineered mouse model, but neither PA alone nor combined with DI-WL or chemotherapy prevented PDAC tumor growth in orthotopic PDAC models regardless of obesity status. PA led to the upregulation of Il15ra in adipose tissue. Adipose-specific overexpression of Il15 slowed PDAC growth but only in nonobese mice. Overall, our study suggests that PA alone or combined with DI-WL can reduce inflammation and delay obesity-associated PDAC development or progression. Lifestyle interventions that prevent or manage obesity or therapies that target weight loss-related molecular pathways could prevent progression of PDAC. Significance: Physical activity reduces inflammation and induces changes to adipose-related signaling to suppress pancreatic cancer, supporting the potential of obesity management strategies to reduce the risk of developing pancreatic cancer. See related commentary by Sogunro and Muzumdar, p. 2935.


Assuntos
Carcinoma Ductal Pancreático , Inflamação , Obesidade , Neoplasias Pancreáticas , Animais , Carcinoma Ductal Pancreático/patologia , Carcinoma Ductal Pancreático/prevenção & controle , Carcinoma Ductal Pancreático/etiologia , Obesidade/complicações , Obesidade/metabolismo , Camundongos , Neoplasias Pancreáticas/patologia , Neoplasias Pancreáticas/prevenção & controle , Neoplasias Pancreáticas/etiologia , Humanos , Inflamação/patologia , Masculino , Feminino , Camundongos Endogâmicos C57BL , Condicionamento Físico Animal , Modelos Animais de Doenças
3.
bioRxiv ; 2023 Jan 04.
Artigo em Inglês | MEDLINE | ID: mdl-36711764

RESUMO

BACKGROUND & AIMS: Obesity is a risk factor for pancreatic ductal adenocarcinoma (PDAC), a deadly disease with limited preventive strategies. Lifestyle interventions to decrease obesity might prevent obesity-associated PDAC. Here, we examined whether decreasing obesity by increased physical activity (PA) and/or dietary changes would decrease inflammation in humans and prevent PDAC in mice. METHODS: Circulating inflammatory-associated cytokines of overweight and obese subjects before and after a PA intervention were compared. PDAC pre-clinical models were exposed to PA and/or dietary interventions after obesity-associated cancer initiation. Body composition, tumor progression, growth, fibrosis, inflammation, and transcriptomic changes in the adipose tissue were evaluated. RESULTS: PA decreased the levels of systemic inflammatory cytokines in overweight and obese subjects. PDAC mice on a diet-induced obesity (DIO) and PA intervention, had delayed weight gain, decreased systemic inflammation, lower grade pancreatic intraepithelial neoplasia lesions, reduced PDAC incidence, and increased anti-inflammatory signals in the adipose tissue compared to controls. PA had additional cancer prevention benefits when combined with a non-obesogenic diet after DIO. However, weight loss through PA alone or combined with a dietary intervention did not prevent tumor growth in an orthotopic PDAC model. Adipose-specific targeting of interleukin (IL)-15, an anti-inflammatory cytokine induced by PA in the adipose tissue, slowed PDAC growth. CONCLUSIONS: PA alone or combined with diet-induced weight loss delayed the progression of PDAC and reduced systemic and adipose inflammatory signals. Therefore, obesity management via dietary interventions and/or PA, or modulating weight loss related pathways could prevent obesity-associated PDAC in high-risk obese individuals.

4.
Gastrointest Endosc ; 94(1): 78-87.e2, 2021 07.
Artigo em Inglês | MEDLINE | ID: mdl-33465354

RESUMO

BACKGROUND AND AIMS: EUS-guided needle-based confocal laser endomicroscopy (EUS-nCLE) can differentiate high-grade dysplasia/adenocarcinoma (HGD-Ca) in intraductal papillary mucinous neoplasms (IPMNs) but requires manual interpretation. We sought to derive predictive computer-aided diagnosis (CAD) and artificial intelligence (AI) algorithms to facilitate accurate diagnosis and risk stratification of IPMNs. METHODS: A post hoc analysis of a single-center prospective study evaluating EUS-nCLE (2015-2019; INDEX study) was conducted using 15,027 video frames from 35 consecutive patients with histopathologically proven IPMNs (18 with HGD-Ca). We designed 2 CAD-convolutional neural network (CNN) algorithms: (1) a guided segmentation-based model (SBM), where the CNN-AI system was trained to detect and measure papillary epithelial thickness and darkness (indicative of cellular and nuclear stratification), and (2) a reasonably agnostic holistic-based model (HBM) where the CNN-AI system automatically extracted nCLE features for risk stratification. For the detection of HGD-Ca in IPMNs, the diagnostic performance of the CNN-CAD algorithms was compared with that of the American Gastroenterological Association (AGA) and revised Fukuoka guidelines. RESULTS: Compared with the guidelines, both n-CLE-guided CNN-CAD algorithms yielded higher sensitivity (HBM, 83.3%; SBM, 83.3%; AGA, 55.6%; Fukuoka, 55.6%) and accuracy (SBM, 82.9%; HBM, 85.7%; AGA, 68.6%; Fukuoka, 74.3%) for diagnosing HGD-Ca, with comparable specificity (SBM, 82.4%; HBM, 88.2%; AGA, 82.4%; Fukuoka, 94.1%). Both CNN-CAD algorithms, the guided (SBM) and agnostic (HBM) models, were comparable in risk stratifying IPMNs. CONCLUSION: EUS-nCLE-based CNN-CAD algorithms can accurately risk stratify IPMNs. Future multicenter validation studies and AI model improvements could enhance the accuracy and fully automatize the process for real-time interpretation.


Assuntos
Inteligência Artificial , Neoplasias Pancreáticas , Aspiração por Agulha Fina Guiada por Ultrassom Endoscópico , Humanos , Lasers , Microscopia Confocal , Redes Neurais de Computação , Neoplasias Pancreáticas/diagnóstico por imagem , Estudos Prospectivos , Medição de Risco
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