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游能俊醫師的133低醣瘦身餐盤：超過30,000人次實證，有效擺脫高血糖、高血壓，瘦身減脂，遠離慢性病【隨書附贈：可剪裁「食材測量表」】

為了解決奇異果 一天 吃幾顆的問題，作者游能俊 這樣論述：

新陳代謝名醫，卻差點也成為糖尿病患者？！ 不吃藥、不禁食，自創「133低醣餐盤」， 成功逆轉糖尿病前期、甩肉24公斤！ 　　◎    我是糖尿病醫師，卻差點得了糖尿病──游醫師的真心告白 　　游能俊醫師行醫三十年，照顧過無數糖尿病患者，自己卻也曾陷入糖尿病前期的危險中，當時的BMI大於30，已達醫學認定的「肥胖」標準。身為醫師，常常叮嚀患者要減重，但自己體重卻超標，加上親友因糖尿病相繼罹病，讓他決定「以身試醣」進行飲食調控。 　　二○一七年，糖化血色素和體重都超標的他，與營養師、廚師等專家聯手，經過反覆測試，以「133低醣餐盤飲食」成功逆轉糖尿病前期，還瘦下24公斤，六年來的體脂率維持

在20％以下！ 　　◎    133低醣餐盤＝1份醣＋3份蛋白質＋3份蔬菜 　　游醫師過去一餐要吃上兩碗飯，現在則是推行「以菜配飯」，並以好記的1-3-3口訣，幫助大家快速掌握飲食原則。許多糖尿病患者執行後，可減少用藥劑量，甚至不少患者可停用胰島素，也能維持良好的血糖控制，糖尿病前期的人則恢復健康，多數人一個月可瘦下1～2公斤，且不易復胖，至今已超過30,000人次實證！不管是糖尿病患者或是想減重的一般人，都適用此飲食法。 　　˙1份醣：每餐只吃「1份醣」，約40克的白飯、1/4顆饅頭的分量。 　　˙3份蛋白質：每餐搭配「3份蛋白質」增加飽足感，像是早餐一杯豆漿＋2顆蛋，就能達標。 　　˙

3份蔬菜：每餐搭配「3份蔬菜」豐富食物多樣性，可提供飽足感且減少血糖升幅。。 　　◎    「巧味食醣」，什麼都可以吃的飲食法 　　游醫師熱愛美食，並沒有因為減醣飲食而捨棄美味，不管是麵飯粥，還是可頌麵包、饅頭小籠包等，都可以成為133餐盤上的佳餚。 　　˙一日三餐，133料理餐盤：超過40個餐盤、60道料理示範，包含中式料理、西式輕食等各式風味美食，吃得飽足又滿足。 　　˙血糖不振盪，一份醣水果：水果怎麼吃、何時吃？如何掌控份量？游醫師實測分享。 　　˙低醣配方，一份醣點心：游醫師與主廚聯手研發，鳳梨酥、蛋黃酥、小餐包、乳酪球等，糖尿病患者也可以放心享用的美味點心。 本書特色 　　1.

    豐富多變的料理：從米飯麵食，到麵包輕食，各式美味料理都可以放心享用。 　　2.    游醫師血糖實測：料理皆經過游醫師團隊測試，讓你血糖不振盪的飲食法。 　　3.    可剪裁的食物分量表：可剪下來貼在冰箱上，掌握正確吃法！  

奇異果 一天 吃幾顆進入發燒排行的影片

An Integrated Approach For Uncovering Novel DNA Methylation Biomarkers For Non-small Cell Lung Carcinoma

為了解決奇異果 一天 吃幾顆的問題，作者VAIBHAV KUMAR SUNKARIA 這樣論述：

Introduction - Lung cancer is one of primal and ubiquitous cause of cancer related fatalities in the world. Leading cause of these fatalities is non-small cell lung cancer (NSCLC) with a proportion of 85%. The major subtypes of NSCLC are Lung Adenocarcinoma (LUAD) and Lung Small Cell Carcinoma (LUS

C). Early-stage surgical detection and removal of tumor offers a favorable prognosis and better survival rates. However, a major portion of 75% subjects have stage III/IV at the time of diagnosis and despite advanced major developments in oncology survival rates remain poor. Carcinogens produce wide

spread DNA methylation changes within cells. These changes are characterized by globally hyper or hypo methylated regions around CpG islands, many of these changes occur early in tumorigenesis and are highly prevalent across a tumor type.Structure - This research work took advantage of publicly avai

lable methylation profiling resources and relevant comorbidities for lung cancer patients extracted from meta-analysis of scientific review and journal available at PubMed and CNKI search which were combined systematically to explore effective DNA methylation markers for NSCLC. We also tried to iden

tify common CpG loci between Caucasian, Black and Asian racial groups for identifying ubiquitous candidate genes thoroughly. Statistical analysis and GO ontology were also conducted to explore associated novel biomarkers. These novel findings could facilitate design of accurate diagnostic panel for

practical clinical relevance.Methodology - DNA methylation profiles were extracted from TCGA for 418 LUAD and 370 LUSC tissue samples from patients compared with 32 and 42 non-malignant ones respectively. Standard pipeline was conducted to discover significant differentially methylated sites as prim

ary biomarkers. Secondary biomarkers were extracted by incorporating genes associated with comorbidities from meta-analysis of research articles. Concordant candidates were utilized for NSCLC relevant biomarker candidates. Gene ontology annotations were used to calculate gene-pair distance matrix fo

r all candidate biomarkers. Clustering algorithms were utilized to categorize candidate genes into different functional groups using the gene distance matrix. There were 35 CpG loci identified by comparing TCGA training cohort with GEO testing cohort from these functional groups, and 4 gene-based pa

nel was devised after finding highly discriminatory diagnostic panel through combinatorial validation of each functional cluster.Results – To evaluate the gene panel for NSCLC, the methylation levels of SCT(Secritin), FOXD3(Forkhead Box D3), TRIM58(Tripartite Motif Containing 58) and TAC1(Tachikinin

1) were tested. Individually each gene showed significant methylation difference between LUAD and LUSC training cohort. Combined 4-gene panel AUC, sensitivity/specificity were evaluated with 0.9596, 90.43%/100% in LUAD; 0.949, 86.95%/98.21% in LUSC TCGA training cohort; 0.94, 85.92%/97.37 in GEO 66

836; 0.91,89.17%/100% in GEO 83842 smokers; 0.948, 91.67%/100% in GEO83842 non-smokers independent testing cohort. Our study validates SCT, FOXD3, TRIM58 and TAC1 based gene panel has great potential in early recognition of NSCLC undetermined lung nodules. The findings can yield universally accurate

and robust markers facilitating early diagnosis and rapid severity examination.