問題的答案無所不包論文書籍站
臺北醫學大學 轉譯醫學博士學位學程 邱仲峯、沈家寧所指導 許芳齊的 利用高強度聚焦超音波引發免疫反應與遠隔效應發展胰臟腫瘤治療策略 （2021），提出PW313 vs C310關鍵因素是什麼，來自於胰管腺癌、高強度聚焦超音波、熱消融、遠隔效應。
而第二篇論文臺北醫學大學 全球衛生暨衛生安全博士學位學程 CHIOU, HUNG-YI、CHIU, YA-WEN所指導 BUI KIM CHUNG的 ASSOCIATION BETWEEN UNHEALTHY BEHAVIORS AND MENTAL HEALTH AMONG ADOLESCENTS IN TAIWAN （2021），提出因為有 adolescents、emotional eating、clustering of unhealthy behaviors、Insufficient physical activity、Screen-based sedentary behaviors、Frequent Sugar-sweetened beverage consumption的重點而找出了 PW313 vs C310的解答。
利用高強度聚焦超音波引發免疫反應與遠隔效應發展胰臟腫瘤治療策略
為了解決PW313 vs C310 的問題，作者許芳齊 這樣論述：
胰管腺癌 (pancreatic ductal adenocarcinoma, PDAC) 是各種惡性腫瘤中最致命的癌症之一，在各國的癌症統計中，胰管腺癌的五年生存率僅為 6% 左右。如此低的存活率可能是肇因於大多數胰腺癌在診斷時已經轉移，且轉移後的腫瘤的惡化程度較高，造成治療的困難與挑戰。因此，目前在臨床上我們迫切需要進一種針對高轉移性的胰臟腫瘤的治療策略。根據最近的幾項研究，此類難治性的腫瘤可以通過局部腫瘤消融技改變腫瘤的微環境，並使之隨後引發持續的全身抗腫瘤免疫反應，方能達成長期的腫瘤控制效果。 因此，我們使用高強度聚焦超音波 (High-intensity focused ul
trasound, HIFU)產生的局部高熱，以熱凋亡效應消融胰腺腫瘤，且近一步研究轉移的腫瘤為環境中的免疫反應，建立一個可治療局部腫瘤並誘發免疫反應的治療策略。在研究上，我們使用Pan18-GL 胰腺癌小鼠模型的成果表明，HIFU 對目標區的直接高溫（超過 70°C）可以在治療的第三天誘導腫瘤消融，隨後的免疫表型分析則發現 HIFU 誘導的熱消融可以促進T 淋巴細胞的浸潤並引起 M1 巨噬細胞的活化。然而，單一次治療的熱治療若無其他藥物輔助治療，在熱凋亡後的第二週起腫瘤細胞不僅重新開始生長，並持續惡化。推測該現象與復發與治療部位的 FoxP3⁺ regulatory T 細胞和 M2 巨噬細
胞的積累有關，這表明最初的炎症反應被迅速抑制。而我們調查了使用聚焦超音波進行骨轉移腫瘤治療的結果顯示，在24小時內各種促進發炎反應的細胞激素均被顯著抑制。此一結果也提供一個可能的治療窗口，在於急性期內使用免疫治療的佐劑，可以避開如細胞激素風暴等的嚴重副作用。 本研究的最終目標目標是驗證高能聚焦超音波造成的腫瘤熱消融產生的遠隔治療效應，並評估熱治療參與的免疫療法，如何產生有效的免疫反應。這些實驗可能最終提供了一個可能的治療策略，將免疫療法與優化的超音波熱治療相結合，可以克服腫瘤微環境中免疫逃脫的效應，達到更好的治療效果。
ASSOCIATION BETWEEN UNHEALTHY BEHAVIORS AND MENTAL HEALTH AMONG ADOLESCENTS IN TAIWAN
為了解決PW313 vs C310 的問題，作者BUI KIM CHUNG 這樣論述：
IntroductionMental health issue in adolescents is a rising public health challenge in Taiwan. Among adolescents, how eating behavior, physical and sedentary activity reciprocally relate to mental health issue remains unclear. Therefore, our first study determined how clustering of unhealthy behavio
rs including frequent sugar-sweetened beverage consumption, screen-based sedentary behaviors, and insufficient physical activity associate with depression symptom. The second study investigated the association between emotional eating and frequent unhealthy food consumption.Material and methodsData
was retrieved from the baseline survey of Taiwan Adolescent to Adult Survey (TAALS), a longitudinal nationwide school-based surveillance in comprehensive health-related issues in Taiwanese adolescents from 2015 to 2020. We characterized the participants on individual factors, social determinants, un
healthy behaviors and depressive symptoms.In study I, probability of depressive symptom occurrences were predicted, given exhibiting clustering of unhealthy behaviors by multiple logistic regression models. In study II, multiple logistic regression analyses were conducted to assess the association
between emotional eating and frequent unhealthy food consumption as well as to reveal the associated effect modifiers.ResultsThe first study showed that, among the 18,509 participants (48.5% male and 51.5% female), depressive symptom were common (31.4%), particularly in female and older adolescents.
After adjustments for covariats including sex, school type, other lifestyle factors and social determinants, individuals exhibiting clustering of unhealthy behaviors were more likely (aOR = 1.56, 95% CI: 1.43-1.70) to exhibit depressive symptoms than those who have no or only one unhealthy behavior
. Stratified results indicated the modified effects of sex on the association between unhealthy behaviors and depressive symptoms. Insufficient physical activity significantly predicted depressive symptom among male, while screen based sedentary behavior was a crucial factor for depressive symptom a
mong female. The second study demonstrated that males were more likely than females to report frequent consumption of fast food (19.2% vs. 12.9%, p < 0.001), high-fat snacks (28.8% vs. 24.3%, p < 0.001), processed meat products (35.5% vs. 24.5%, p < 0.001), and SSBs (64.7% vs. 55.8%, p < 0.001). Tho
se exhibiting emotional eating were more likely to consume fast food (Odds ratio (OR) = 2.40, 95% Confidence interval (CI): 2.18–2.64), high-fat snacks (OR = 2.30, 95% CI: 2.12–2.49), processed meat products (OR = 1.92, 95% CI: 1.78–2.08), dessert foods (OR = 2.49, 95% CI: 2.31–2.69), and sugar-swee
tened beverages (OR = 1.83, 95% CI: 1.70–1.98). Factors that were positively associated with unhealthy food consumption included eating while doing other activities, binge drinking, smoking, and sedentary lifestyle. Among all the covariates, nutrition label reading was the only factor that was inver
sely associated with frequent unhealthy food consumption. Sex and school type may moderate the effect of emotional eating on the frequent consumption of specific unhealthy food groups.ConclusionThe first study demonstrated that clustering of unhealthy behaviors were commonly occurred in adolescents,
and were positively associated with depressive symptom. The findings highlight the importance of strengthening public health interventions to improve physical activity and decrease sedentary behavior.The second study indicated a positive association between emotional eating and unhealthy food cons
umption among adolescents. Eating while doing other activities and living a sedentary lifestyle were the two factors significantly associated with increased unhealthy food consumption across all five unhealthy food groups, while nutrition label reading may decrease the consumption of unhealthy food.