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研究生: 廖宣雅
Liao, Hsuan-Ya
論文名稱: 代謝失調性脂肪肝之肝細胞脂滴動態與代謝調控
Dynamics and metabolic regulation of hepatic lipid droplets in metabolic dysfunction-associated fatty liver disease
指導教授: 楊孔嘉
Young, Kung-Chia
學位類別: 碩士
Master
系所名稱: 醫學院 - 醫學檢驗生物技術學系
Department of Medical Laboratory Science and Biotechnology
論文出版年: 2025
畢業學年度: 113
語文別: 英文
論文頁數: 165
中文關鍵詞: 代謝相關脂肪肝病非酒精性脂肪性肝炎燃盡型非酒精性脂肪性肝炎肝臟脂肪變性脂滴脂解作用Brunt評分系統脂質自噬含馬鈴薯樣磷脂酶結構域蛋白2 (PNPLA2)
外文關鍵詞: Metabolic associated fatty liver disease (MAFLD), non-alcoholic steatohepatitis (NASH), burned-out NASH, hepatic steatosis, lipid droplet, lipolysis, Brunt scoring system, lipophagy, Patatin-like phospholipase domain-containing protein 2 (PNPLA2)
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  • 在代謝相關脂肪肝疾病(MAFLD)中,先前研究利用超音波技術發現較嚴重的階段(如纖維化或肝硬化階段)肝臟脂肪可能會下降,然而肝臟脂肪含量及脂滴(LD)動態變化之代謝與致病意義尚未明確。為了探究肝臟脂肪含量與脂滴在MAFLD進程中的動態變化,本研究首先由病理科醫師依照Brunt評分系統 ( Brunt scoring system ) 評估72位MAFLD病人的肝臟切片肝炎嚴重程度,得到所有病人之NASH分級、纖維化等級 ( fibrosis stage ) 及肝脂肪含量。之後再利用光柵掃描法(raster scan method)結合 ImageJ 分析,量化脂滴面積百分比、每個視野的平均脂滴數量,以及平均脂滴直徑。研究同時評估了擴展性肝細胞腫脹(extended hepatocyte ballooning score, eB score)與小葉發炎評分( lobular inflammation score )。接著分析每位病人的小葉性發炎分數( lobular inflammation score )與擴展性肝細胞膨脹分數(eB score),並將病人的病歷資料,組織學判讀結果與脂滴定量結果一併分析。為了模擬早期與晚期 NASH 中脂滴的形態變化,研究使用初級人類肝細胞(PHH),並分別以油酸(OA)或 SOAT 抑制劑 TMP-153處理,以誘導形成大脂滴或小脂滴。隨後利用免疫螢光染色檢測脂滴相關蛋白,並對OA與TMP-153 處理過的PHH 細胞模型及線上NAFLD 臨床數據資料庫進行RNA定序與轉錄體分析,以探討其代謝與致病途徑。結果顯示,肝脂肪含量在NASH 等級 0 到 1 之間顯著增加(p < 0.0001),而在等級 1 到 2 間則下降(p = 0.0044)。脂滴定量分析顯示從等級 0 到 1,平均脂滴直徑增加(p = 0.0021),而脂滴數量下降(p = 0.0139);從等級 1 到 2+3,脂滴直徑減小(p = 0.0133),而脂滴數量增加(p = 0.0358)。在 NASH 等級 0 中,肝脂肪含量與NAS分數 ( NAFLD Activity Score , NAS score )與纖維化等級呈正相關,與脂滴數量呈負相關;脂滴面積與直徑均與NAS分數呈正相關。在 NASH 等級 1 中,脂滴的增大(非數量變化) 推動了脂質累積;而在 等級 2 中,脂滴參數與小葉發炎評分呈負相關,顯示脂解作用可能增加。免疫螢光染色結果顯示在OA 處理 4 天的 PHH(OA 4dt PHH)中,PLIN2 的大小(p < 0.0001)與數量(p = 0.0045)均明顯高於 TMP-153 處理 4 天的 PHH。在先前經 OA 處理後再給予 TMP-153 處理的PHH組別中,PLIN2 的大小顯著下降(p < 0.0001),但數量未明顯改變,顯示 PLIN2 可能發生降解。同樣地,PLIN3 在 OA 處理 2 天的 PHH 中也顯著更大(p = 0.0464)且更多(p < 0.0001),而在隨後 TMP-153 處理 後大小顯著下降(p < 0.0001)。相比於 DMSO 對照組,OA 處理兩天的組別與TMP-153 處理兩天的組別均出現 PLIN3 數量較高的情形,顯示 PLIN3可能參與早期脂滴生成。此外,作為大脂滴降解關鍵脂解酶的含馬鈴薯樣磷脂酶結構域蛋白2 (Patatin-like phospholipase domain-containing protein 2, PNPLA2) 基因表現量在 NASH 患者與 TMP-153 處理的 PHHs 中均表達上調,可能導致大脂滴被降解,而小脂滴在疾病後期累積的現象。總結來說,脂滴在早期NASH(等級 0–1)中發生增大與融合,而在晚期NASH(等級 1–2) 中則可能出現降解現象,這可能與增強的脂解活性有關。這些脂滴形態的動態變化不僅能反映 MAFLD 進展,更可能對其病程具有調控作用。

    In metabolic-associated fatty liver disease (MAFLD), previous imaging-based studies have suggested that hepatic lipid content might decrease in advanced stages such as fibrosis or cirrhosis. However, the changes in lipid droplet (LD) dynamics across disease stages, as well as their metabolic and pathological significance, remain unclear. Thus, liver tissue from 72 MAFLD patients was assessed histologically using the Brunt scoring system to determine NASH grade, fibrosis stage, and relative liver fat content. LDs in the same samples were analyzed using raster scan imaging and ImageJ to quantify LD area (%), mean LD count per field, and mean LD diameter. Extended hepatocyte ballooning (eB) and lobular inflammation scores were also evaluated. To model LD morphology in early vs. advanced NASH, primary human hepatocytes (PHHs) were treated with oleic acid (OA) or the SOAT inhibitor TMP-153 to induce large or small LDs, respectively. Immunofluorescence staining assessed LD-associated proteins, and transcriptomic analyses were performed on both PHH models and public NAFLD clinical datasets to explore metabolic and pathogenic pathways. Liver fat content significantly increased from NASH grade 0 to 1 (p < 0.0001) and decreased from grade 1 to 2 (p = 0.0044). LD quantification revealed that from grade 0 to 1, mean LD diameter increased (p = 0.0021), while LD count decreased (p = 0.0139). From grade 1 to 2+3, LD diameter decreased (p = 0.0133), while LD count increased (p = 0.0358). In NASH grade 0, liver fat positively correlated with NAS and fibrosis stage and negatively with LD count. LD area and diameter were both positively correlated with NAS score. In NASH grade 1, LD enlargement (not count) drove fat accumulation, while in grade 2, LD parameters negatively correlated with lobular inflammation, suggesting increased lipolysis. Immunofluorescence staining showed that PLIN2 was significantly larger (p < 0.0001) and more abundant (p = 0.0045) in OA 4dt PHH compared to TMP-153 4dt PHH. PLIN2 size decreased significantly after TMP-153 treatment following OA exposure (p < 0.0001), without a notable change in count, suggesting PLIN2 degradation. PLIN3 was also significantly larger (p = 0.0464) and more abundant (p < 0.0001) in OA 2dt PHH than in TMP-153 2dt PHH, and its size decreased after TMP-153 treatment (p < 0.0001). Both OA 2dt and TMP-153 2dt groups showed increased PLIN3 counts compared to DMSO controls, implying PLIN3 involvement in early LD biogenesis. PNPLA2, a key lipase for large LD degradation, was upregulated in both NASH patients and TMP-153–treated PHHs, possibly driving small LD accumulation in advanced disease. In conclusion, LDs undergo enlargement and fusion in early NASH (grade 0–1) and degradation in advanced NASH (grade 1–2), likely due to enhanced lipolytic activity. These dynamic changes in LD morphology may not only reflect but also regulate MAFLD progression.

    中文摘要 I Abstract III Acknowledgment V Contents VI Figure Contents XII Abbreviations XIV I. Introduction 1 1. Fatty liver disease 1 1.1 The definition of MAFLD and NAFLD 1 1.2 Metabolic-dysfunction-associated fatty liver disease (MAFLD) 1 1.2.1 Introduction of MAFLD 1 1.2.2 MAFLD progression 2 1.2.3 Scoring systems of MAFLD 2 1.2.3.1 Histological features and scoring systems of MAFLD 2 1.2.3.2 The Brunt scoring system 4 1.2.3.3 The NAFLD activity score (NAS) 5 1.3 Cell model of MAFLD 6 1.3.1 The treatment of PHH with oleic acid (OA) 6 1.3.2 The treatment of PHH with SOAT inhibitor TMP-153 7 2 Lipid droplet (LD) 9 2.1 Overview of LDs 9 2.2 LD biogenesis 10 2.2.1 Neutral lipid synthesis 10 2.2.2 Lipid nucleation 11 2.2.3 LD budding 11 2.3 LD growth and fusion 12 2.3.1 LD growth 12 2.3.2 LD fusion 12 2.4 LD degradation 13 2.4.1 Lipolysis 13 2.4.2 Lipophagy 13 2.4.2.1 Macrolipophagy 13 2.4.2.2 Microlipophagy 14 2.4.2.3 Chaperone-mediated autophagy (CMA) 14 3 Alterations in hepatocyte morphology and signaling pathways during MAFLD progression 14 3.1 Alteration of hepatocyte morphology in MAFLD progression 14 3.2 Alteration of signaling pathways in hepatocytes in MAFLD progression 15 4 Current understanding of hepatic lipid change in MAFLD progression 16 4.1 Hypothesis of MAFLD progression 16 4.2 Hepatic lipid change in MAFLD progression 17 5 What we have known 17 6 Hypotheses 18 7 Specific aims of the study 18 8 Experimental design 19 II. Materials and methods 20 1. Photography of MAFLD patient sample 20 2. Quantification of LD area, mean count, diameter in MAFLD patient liver sections using ImageJ 20 3. Patient demographic data analysis 21 4. Cell culture and treatment of OA and TMP-153 21 5. Reagents of PHH treatment 21 6. Immunofluorescence of PLIN2, PLIN3, p62 expression 22 7. Statistical analysis 22 III. Results 23 1. LD dynamics across different NASH grades 23 1.1 Liver fat change and LD area across different NASH grades 23 1.2 LD count and size changes across different NASH grades 24 1.3 Change of LD morphology in different NASH grades 24 1.3.1 Liver fat change and LD area correlation in different NASH grades 24 1.3.2 Liver fat change, LD count, and diameter correlation in different NASH grades 25 1.3.3 LD area, count and diameter correlation in different NASH grades 25 2. LD dynamics across different lobular inflammation score 26 2.1 Liver fat change, LD area, mean count and mean diameter across different lobular inflammation scores 26 2.2 Change of LD morphology in different lobular inflammation scores 27 2.2.1 Liver fat change and LD area correlation in different lobular inflammation 27 2.2.2 Liver fat change, LD count, and diameter correlation in different lobular inflammation scores 28 2.2.3 LD area, count and diameter correlation in different lobular inflammation scores 28 2.3 Correlation of liver fat change, LD area, mean count and mean diameter across different lobular inflammation scores in NASH grade 0, 1, and 2 29 3. LD dynamics across different extended hepatocyte ballooning (eB) scores 29 3.1 Liver fat change, LD area, mean count and mean diameter across different eB scores 29 3.2 Change of LD morphology in different eB scores 30 3.2.1 Liver fat change and LD area correlation in different eB scores 30 3.2.2 Liver fat change, LD count and diameter correlation in different eB scores 31 3.2.3 LD area, LD count, and diameter correlation in different eB scores 31 3.2.4 LD count and diameter correlation in different eB scores 32 4. LD dynamics across different fibrosis stages 33 4.1 Fibrosis stages across different NASH grades, lobular inflammation scores, and eB scores 33 4.2 Liver fat change, LD area, mean count and mean diameter across different fibrosis stages 33 4.3 Change of LD morphology in different fibrosis stages 34 4.3.1 Liver fat change and LD area correlation in different fibrosis stages 34 4.3.2 Liver fat change, LD count and diameter correlation in different fibrosis stages 35 4.3.3 LD area, LD count, and diameter correlation in different fibrosis stages 35 4.4 Correlation of liver fat change, LD area, mean count and mean diameter across different fibrosis stages in NASH grade 0, 1, and 2 36 5. LD dynamics across different NAS scores and groups defined by combined lobular inflammation and eB scores 36 5.1 LD dynamics in NAS scores 36 5.2 LD dynamics in combined lobular inflammation and eB scores 37 6. Correlation analysis of LD dynamics and all histological parameters 38 6.1 Analysis of all patients 38 6.2 Analysis of NASH grade 0 patients 39 6.3 Analysis of NASH grade 1 patients 40 6.4 Analysis of NASH grade 2 patients 40 6.5 Analysis of NASH grade 2+3 patients 41 7. Correlation analysis of patient demographic parameters with LD morphological parameters and histological parameters 41 8. LD dynamics and surface protein expression in OA, TMP-153 treated PHH 42 9. Transcriptomic analysis of MAFLD patient datasets, text-mined gene signatures, and OA- or TMP-153-treated PHH 44 9.1. RNA-Seq analysis of NAFL and NASH patient data from the GEO2R database 44 9.2. RNA-seq analysis of OA and TMP-153 treated PHH 45 10. Immunofluorescence staining of PNPLA2 inhibition in TMP-153 treated PHH 46 IV. Discussion 48 1. Hepatic lipid content and LD dynamics in NASH progression 48 2. Correlation of patient demographic parameters with LD and histological parameters 48 3. Conclusion 50 V. References 51 VI. Figures 57 Figure 1 57 Figure 2 60 Figure 3 66 Figure 4 68 Figure 5 75 Figure 6 76 Figure 7 79 Figure 8 86 Figure 9 89 Figure 10 95 Figure 11 98 Figure 12 101 Figure 13 104 Figure 14 110 Figure 15 112 Figure 16 121 Figure 17 124 Figure 18 127 VII. Table 140 Table 1. Descriptive statistics of MAFLD patients 140 VIII. Supplementary data 142 Figure S1 142 Figure S2 143 Figure S3 144 Figure S4 145 IX. Appendix 146 1. Antibodies 146 2. Reagents 147 3. Instruments 148

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