以下文章来源于内分泌早知道 ，作者关注内分泌的 内分泌早知道 . 深度分享内分泌用药经验、病例剖析、指南专业解读并紧跟国内外内分泌领域前沿进展，「每医健」旗下内容平台。 减肥人群中盛行着这样的晨间对话： "跳过早餐吧，空腹状态能加速脂肪燃烧！" 这种看似科学的减重策略究竟是否可靠？国际顶级期刊Ce ll发布的最新研究给出了颠覆性结论。由科研团队开展的《双营养供应模式下 小肠对营养吸收与宿主防御的差异化调控机制》研究表明，晨间饥饿状态将引发小肠的"代谢记忆效应"——这个被低估的消化器官不仅 具备精密调控能力，更会通过增强营养吸收效率来应对禁食期。 ▍早餐缺失触发小肠"报复性吸收"：Ce ll研究揭示饥饿如何加剧肥胖与动脉硬化 许多人误以为小肠仅仅是消化系统中的一个简单通道，但最新科学研究表明，它更像是一个高度智能的"代谢调控中心"。它不仅负责营 养吸收，还参与免疫调节和肠道微生态平衡。然而，当早餐被刻意跳过时，这个精密系统会启动一种令人意外的"代谢记忆"机制，最终 导致越饿越胖，甚至加速动脉粥样硬化的进程。 小肠的"双渠道供能"机制 研究发现，小肠的营养供应并非仅依赖进食，而是通过两条独立途径维持运作： 肠腔侧 ...

导读： 近日，深圳医学科学院发布多批政府采购意向，仪器信息网特对其中的仪器设备品目进行梳理，统计出47项仪器设备采购意 向，预算总额达2.35亿元。 特别提示 微信机制调整，点击顶部"仪器信息网" → 右上方"…" → 设为 ★ 星标，否则很可能无法看到我们的推送。 近日， 深圳医学科学院发布 47 项仪器设备采购意向，预算总额达 2.35亿 元，涉及高性能流式细胞分析仪 、 多 参 数流式细胞分析仪、全光谱成像流式细胞分选仪 、全光谱超高速流式细胞分选仪 、高维流式细胞分选仪 等 ， 预计采 购时间为202 5 年 3~10 月。 部分采购仪器： 高性能流式细胞分析仪 高性能流式细胞分析仪（High-Performance Flow Cy tometer），能够对单个细胞或微粒在高速流动状态下进行 多参数、高通量的物理和荧光特性检测与分析。它结合了流体动力学、激光光学、电子探测技术和生物标记技术，广泛 应用于免疫学、肿瘤学、血液学、干细胞研究、疫苗开发、细胞治疗及基础生命科学研究。 全光谱超高速流式细胞分选仪 高维流式细胞分选仪（High-Dimens ional Flow Cy tometr y Cel ...

Core Viewpoint - The recent study from Sun Yat-sen University highlights the significant role of greenspace in mitigating the global disease and economic burdens associated with non-communicable diseases (NCDs) [4][6]. Summary by Sections Non-Communicable Diseases (NCDs) - NCDs are the primary threat to global public health, causing 42 million deaths in 2021, which accounts for 75% of total global deaths [6]. - It is projected that from 2011 to 2030, NCDs will result in over $30 trillion in economic losses globally, imposing heavy burdens on families, healthcare systems, and society [6]. Importance of Greenspace - Greenspace, including forests, parks, and gardens, plays a crucial role in human health and disease prevention [6]. - Increased exposure to greenspace is associated with a reduced risk of various NCDs, such as cardiovascular diseases, diabetes, cancer, and mental health issues [6]. - The benefits of greenspace may stem from ecological, biological, psychological, and social pathways, including reduced air pollution and enhanced social cohesion [6]. Research Limitations and Gaps - Previous studies on the relationship between greenspace and NCDs have been limited to specific geographic areas, restricting the applicability of findings to broader populations [7]. - There is a lack of comprehensive research quantifying the potential health and economic benefits of increasing greenspace on a global scale [7][8]. Key Findings of the Study - The study analyzed data from 204 countries/regions between 2000 and 2021, using mixed-effects regression models to assess the association between greenspace and NCD-related mortality and disability-adjusted life years (DALYs) [8]. - Results indicate that larger greenspace areas correlate with lower burdens of NCDs [8]. - If greenspace had been maintained at optimal levels over the past two decades, it could have potentially prevented 1.66 million NCD-related deaths and 37.68 million DALYs, saving nearly $10 billion [8]. Implications for Policy - The findings provide invaluable information for policymakers and practitioners, suggesting that greenspace initiatives should be integrated into national policy-making and resource allocation to alleviate the disease and economic burdens of NCDs globally [10].

Core Viewpoint - The article discusses a groundbreaking research study that introduces a large language model (LLM)-based biological age prediction method, which estimates overall and organ-specific aging through health examination reports, aiming to enhance health management for the general public [3][4][5]. Group 1: Research Background and Importance - Accurately assessing an individual's aging level is crucial for identifying health risks and preventing age-related diseases, yet current aging indicators face methodological limitations and lack broad applicability [2][8]. - Aging is a major risk factor for mortality and chronic diseases, contributing significantly to societal health burdens, and understanding both overall and organ-specific aging is essential for comprehensive health assessments [7]. Group 2: Methodology and Framework - The research team developed a novel framework that converts health examination data (e.g., blood pressure, liver function) into textual reports for input into a large language model (e.g., Llama3), which analyzes numerous indicators to produce two key outputs: overall biological age and organ-specific ages for six major organs [10][11]. - The LLM does not rely on preset formulas but utilizes a pre-trained medical knowledge base to intelligently infer aging metrics based on individual health details [12]. Group 3: Validation and Results - The study validated its predictive framework using data from over 10 million individuals across six major databases, achieving impressive accuracy rates: 75.7% for predicting all-cause mortality risk, 70.9% for coronary heart disease risk, and 81.2% for liver cirrhosis risk, outperforming traditional models [15][20]. - The age difference predicted by the LLM correlates with increased health risks, with each additional year in predicted age raising all-cause mortality risk by 5.5% and coronary heart disease risk by 7.2% [16]. Group 4: Clinical Applications and Innovations - The research introduces a disease radar warning system, revealing that an increase in cardiovascular age difference correlates with a 45% increase in coronary heart disease risk, while liver age difference correlates with a 63% increase in liver cirrhosis risk [19]. - The study identifies 322 key proteins as potential "aging accelerators," with 56.7% being new targets linked to mortality risk, highlighting the predictive power of the LLM in personalized health management [19]. - By analyzing three years of continuous health examination data, the LLM can generate individual aging rate curves, improving disease outbreak predictions by three times compared to single examination assessments [19].

Group 1 - The UK Biobank has completed the largest human imaging project globally, scanning 100,000 volunteers over 11 years, generating over 1 billion high-resolution medical images [1] - The project began in 2014 with a pilot involving 7,000 volunteers and officially launched in 2016, where each volunteer underwent approximately 5 hours of imaging [1] - The imaging data includes over 12,000 MRI images per volunteer, covering the brain, heart, abdomen, and measurements of bone density and body fat [1] Group 2 - Since 2015, the imaging data has been made available to global researchers, resulting in over 1,300 peer-reviewed papers published based on this data [2] - The second phase of the project started in 2022, aiming to re-scan 60,000 participants to observe changes over time, expected to be completed by 2029 [2] - The chief researcher, Rory Collins, emphasized that this unprecedented scale of imaging is making "invisible disease processes" visible and redefining understanding of health, aging, and risk prediction [2]

Group 1 - The integration of traditional Chinese medicine (TCM) and Western medicine is evolving due to the accumulation of life data and advancements in artificial intelligence (AI) analysis techniques [1][2] - The shift in Western medical research from a micro to a systemic and macro perspective is reflected in publications since 2012 in the journal "Cell," indicating a growing collaboration between TCM and Western medicine [1] - AI and big data are enabling a more objective approach to TCM, allowing for precise translations of pathological representations into TCM theories [2] Group 2 - The concept of personalized treatment, or "one person, one policy," is becoming feasible as machine learning and algorithms assist in tailoring treatments based on detailed patient data [3] - The intersection of multiple disciplines, including materials science and engineering, is expected to transform the administration of TCM formulations, enhancing the understanding of their mechanisms [3] - A paradigm shift in medical research is anticipated, driven by the integration of new technologies and methods, which will redefine scientific perspectives and methodologies [3][4]

Core Viewpoint - Researchers at the Cedars-Sinai Medical Center have developed a "chip-based ALS" disease model using stem cells from ALS patients, which may reveal the causes of this mysterious and deadly disease and facilitate the development of effective treatments [1] Group 1 - The new model aims to uncover the underlying mechanisms of amyotrophic lateral sclerosis (ALS) [1] - The research utilizes stem cells derived from patients, indicating a personalized approach to studying the disease [1] - The development of this model could lead to significant advancements in ALS treatment options [1]

Core Viewpoint - The establishment of the Wu Mengchao Academy aims to promote the spirit of the renowned Chinese liver surgeon, emphasizing the importance of clinical service over mere academic achievements [1][4]. Group 1: Wu Mengchao's Contributions - Wu Mengchao is recognized as the "Father of Chinese Liver Surgery" and has made significant contributions to the field, including leading a team that achieved numerous medical firsts and breakthroughs [2]. - The academy showcases 15 major medical achievements by Wu Mengchao, including the world record for the largest liver tumor resection, with a specimen weighing 18 kilograms [2]. Group 2: Educational Initiatives - The academy features interactive exhibits, including a handprint area where visitors can engage with Wu Mengchao's legacy, symbolizing their role as spiritual successors [3]. - A digital representation of Wu Mengchao allows visitors to engage in conversations, fostering a connection between past and present medical practitioners [3][4]. Group 3: Legacy and Recognition - Wu Mengchao is the first recipient of a named asteroid in the field of medicine in China, symbolizing his 76 years of dedication to healthcare [4]. - The establishment of the academy serves as a lasting tribute to Wu Mengchao's life and work, setting a spiritual benchmark for future generations of medical professionals [4][5].

Core Insights - The articles highlight the significant role of technology and innovation in driving high-quality development in Henan province, emphasizing the contributions of local scientists and researchers [1][18] - The focus is on various technological advancements, including distributed optical fiber monitoring systems, medical research, food science, and new display technologies, showcasing the diverse fields where innovation is taking place [2][5][13] Group 1: Technology and Innovation - The Harbin Institute of Technology's Zhengzhou Research Institute has developed a distributed optical fiber monitoring system that enhances the safety of energy transmission networks in Henan and nationwide [2][5] - The team led by Professor Dong Yongkang has achieved a 1000-fold improvement in time response and spatial resolution in fiber monitoring technology, breaking foreign monopolies and leading in performance metrics [5][6] - The establishment of a femtosecond laser micro-nano sensing research platform in Henan aims to meet the growing market demand for advanced sensing technologies [6] Group 2: Medical Research - Li Lei, a researcher at the Henan Provincial Academy of Medical Sciences, focuses on sepsis, a significant medical challenge, and has successfully attracted a team of researchers to the province [7][8] - The supportive research environment in Henan, including rapid resolution of administrative issues, has facilitated talent retention and development in the medical field [7][8] Group 3: Food Science - Liu Kunlun, Dean of the College of Grain and Oil Food Engineering at Henan University of Technology, emphasizes the importance of food science in addressing the health needs of an aging population [11][12] - His research on selenium and peptides aims to enhance antioxidant properties, with applications already in six enterprises, showcasing the practical impact of food science research [12] Group 4: Display Technology - The New Display Technology Research Institute in Henan is focusing on AR/VR technologies, aiming to develop the world's first OLED-based AR glasses through collaboration with various universities and tech companies [13][17] - The institute's work on quantum dot technology and Mini/MicroLED displays is positioned to address both material and device challenges in the display sector [16][17] Group 5: Overall Impact of Technology - The articles collectively illustrate how technological advancements are integral to Henan's economic growth and modernization efforts, with a strong emphasis on collaboration between academia and industry [18] - The commitment to innovation is reflected in the establishment of research platforms and the attraction of talent, which are essential for sustaining high-quality development in the region [18]

每经记者｜蔡鼎 每经编辑｜高涵 ｜2025年5月27日 星期二｜ 点评：《Nature》子刊研究显示ChatGPT显著提升K12学生学习成绩和高阶思维能力，证明AI在教育领 域的巨大潜力，为教育技术应用提供有力科学依据。 NO.3 印度开源大模型上线两天仅300余次下载，投资人直呼"尴尬" 作为首批入选印度"IndiaAI Mission"项目、承担构建印度主权基础大模型任务的公司之一，Sarvam AI近 日发布了名为Sarvam-M的模型。这是一个基于Mistral Small构建的240亿参数、权重开放的混合语言模 型。然而，模型上线后反响平平：在Hugging Face平台上线两天仅获得334次下载，因此受到了部分业 内人士的批评。截至目前，该模型获得718次下载。风投公司Menlo Ventures投资人Deedy Das直言该成 绩"令人尴尬"，并表示这种"渐进式成果"根本没有真正的受众。 点评：Sarvam AI 发布的 Sarvam-M 模型虽肩负印度主权基础大模型构建重任，但上线后下载量低迷， 受到业内批评，反映出其在市场推广和实际应用方面面临较大挑战。 NO.4 新型3D打印装置可实现更高 ...