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《Nature》权威发布:减肥究竟怎样重构你的脂肪生态系统?
GLP1减重宝典· 2025-12-26 13:22
肥胖世界ObesityWorld . 《肥胖世界》Obesity World - 同步传真肥胖及代谢国际新学术进展,为医学减重临床、教研人员搭建一座与国际接轨的桥梁,「每医健」旗下内容平台。 以下文章来源于肥胖世界ObesityWorld ,作者肥胖世界 一、脂肪组织重塑的全景图 研究构建了包含70名受试者、共171,247个细胞的脂肪组织单细胞图谱,包括25名极度肥胖者(手术前后)、24名健康体重者,并结合空间转 录组分析(每组4人),聚焦腹部皮下脂肪(与代谢异常息息相关)。肥胖人群中,免疫细胞(巨噬细胞、淋巴细胞)异常聚集,同时成熟脂 肪细胞数量减少(提示细胞凋亡或新生不足);减重后这些病变现象得到明显缓解。 二、巨噬细胞的异常激活 肥胖时脂肪组织内巨噬细胞比例由14%剧增至31%,尤其是脂质相关巨噬细胞(LAMs)——其中既包含成熟型(MYE2),也有未成熟型 (MYE3),伴随大量脂质代谢及炎症激活标志物(如CD9、TREM2)表达上升,同时经典单核细胞(MYE5)也增多,提示有来自血液的招 募。肥胖巨噬细胞普遍呈现技巧性代谢激活——糖酵解、氧化磷酸化、胆固醇及脂肪酸合成/氧化全面增强。减重可使巨噬细 ...
重磅揭秘!《自然》解析:减肥如何彻底改变你体内的“脂肪世界”?
GLP1减重宝典· 2025-10-08 06:54
肥胖世界ObesityWorld . 《肥胖世界》Obesity World - 同步传真肥胖及代谢国际新学术进展,为医学减重临床、教研人员搭建一座与国际接轨的桥梁,「每医健」旗下内容平台。 以下文章来源于肥胖世界ObesityWorld ,作者肥胖世界 全球已有超10亿人被肥胖困扰。许多人以为"胖"仅是外表问题,殊不知腹部脂肪的异常实际上是代谢疾病的"隐形杀手"——它悄然引发胰岛素 抵抗、糖尿病、心血管疾病,甚至提高癌症风险。令人惊奇的是,减重能迅速扭转这些健康危机:血糖平稳了、血压下降了、血管恢复弹性 了。但科学界一直未能破解这一谜团:脂肪组织内部到底经历了什么变化?是细胞数量减少了?还是基因表达重新"洗牌"了? 为揭开这一谜团,伦敦帝国理工学院的Tricia Tan和William R. Scott领导的研究团队运用单细胞核测序技术分析了70人超过17万个脂肪细胞, 并结合前沿空间转录组学,首次绘制了肥胖状态下脂肪组织的"病变地图",以及减重如何让它实现"凤凰涅槃"。 一、脂肪组织重塑全景图 研究团队构建了迄今最全面的脂肪组织单细胞图谱,涵盖171,247个细胞,样本来自25名极度肥胖者(术前及减重后) ...
惊爆!《自然》揭秘:减重如何重塑你体内的"脂肪王国"?
GLP1减重宝典· 2025-08-26 09:15
以下文章来源于肥胖世界ObesityWorld ,作者肥胖世界 肥胖世界ObesityWorld . 《肥胖世界》Obesity World - 同步传真肥胖及代谢国际新学术进展,为医学减重临床、教研人员搭建一座与国际接轨的桥梁,「每医健」旗下内容平台。 全球已有超10亿人被肥胖困扰。许多人以为"胖"仅是外表问题,殊不知腹部脂肪的异常实际上是代谢疾病的"隐形杀手"——它悄然引发胰岛素 抵抗、糖尿病、心血管疾病,甚至提高癌症风险。令人惊奇的是,减重能迅速扭转这些健康危机:血糖平稳了、血压下降了、血管恢复弹性 了。但科学界一直未能破解这一谜团:脂肪组织内部到底经历了什么变化?是细胞数量减少了?还是基因表达重新"洗牌"了? 为揭开这一谜团,伦敦帝国理工学院的Tricia Tan和William R. Scott领导的研究团队运用单细胞核测序技术分析了70人超过17万个脂肪细胞, 并结合前沿空间转录组学,首次绘制了肥胖状态下脂肪组织的"病变地图",以及减重如何让它实现"凤凰涅槃"。 一、脂肪组织重塑全景图 研究团队构建了迄今最全面的脂肪组织单细胞图谱,涵盖171,247个细胞,样本来自25名极度肥胖者(术前及减重后) ...
惊爆!《自然》揭秘:减重如何重塑你体内的"脂肪王国"?
GLP1减重宝典· 2025-08-24 10:25
Core Insights - The article discusses the global obesity crisis, highlighting that over 1 billion people are affected by obesity, which is linked to various metabolic diseases and health risks [6][8]. - It emphasizes the importance of understanding the changes in adipose tissue during weight loss, revealing new insights into the mechanisms behind obesity and potential therapeutic approaches [18]. Group 1: Adipose Tissue Remodeling - A comprehensive single-cell atlas of adipose tissue was created, analyzing over 171,000 cells from 25 severely obese individuals and 24 healthy individuals, focusing on subcutaneous abdominal fat [8]. - The study found an influx of immune cells, particularly macrophages and lymphocytes, in obese adipose tissue, while the proportion of mature adipocytes decreased, indicating cell death or insufficient renewal [8][10]. - Weight loss effectively alleviated these pathological changes in adipose tissue [8]. Group 2: Macrophage Memory Effect - The proportion of macrophages in adipose tissue increased from 14% to 31% in obesity, with lipid-associated macrophages (LAMs) being predominant [10]. - Metabolic analysis showed that obese macrophages exhibited a globally hypermetabolic state, activating various metabolic pathways [10]. - After weight loss, macrophage numbers significantly decreased to 18%, and inflammatory gene expression was downregulated, but the hypermetabolic state did not fully reverse, suggesting an "epigenetic memory" [10]. Group 3: Fat Cell Metabolism Reboot - Eight subtypes of mature adipocytes were identified, with stress and fibrotic types increasing in obesity, while lipid synthesis types decreased [12]. - Weight loss led to a significant reduction in stress-type adipocytes and a restoration of lipid synthesis-type cells [12]. - Enhanced metabolic flux in adipocytes post-weight loss was linked to improved insulin sensitivity [12]. Group 4: Decline of Stress Ecological Niche - The study identified an increase in stress-type adipose precursor cells (APCs) in obese individuals, which were associated with hypoxia [14]. - Weight loss significantly reduced the proportion of stress-type and fibrotic APCs, downregulating hypoxia and anti-adipogenic signals [14]. - The vascular system also showed stress-type subpopulations, which were reduced after weight loss [14]. Group 5: Reversal of Aging Programs - Remarkably, weight loss significantly downregulated various senescence markers across multiple cell types, reducing the aging score and the number of p21-positive cells [17]. - The study revealed a conserved transcription factor network in senescent cells that drives a vicious cycle of cell cycle arrest and senescence-associated secretory phenotype (SASP) [17]. - Weight loss effectively "shut down" this network, rebooting cellular health programs [17].