文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

内脏脂肪与基于属性的慢性肾脏病医学

Visceral fat and attribute-based medicine in chronic kidney disease.

机构信息

Department of Nephrology, Tokyo Women's Medical University, Tokyo, Japan.

出版信息

Front Endocrinol (Lausanne). 2023 Feb 9;14:1097596. doi: 10.3389/fendo.2023.1097596. eCollection 2023.


DOI:10.3389/fendo.2023.1097596
PMID:36843595
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9947142/
Abstract

Visceral adipose tissue plays a central role in obesity and metabolic syndrome and is an independent risk factor for both cardiovascular and metabolic disorders. Increased visceral adipose tissue promotes adipokine dysregulation and insulin resistance, leading to several health issues, including systemic inflammation, oxidative stress, and activation of the renin-angiotensin-aldosterone system. Moreover, an increase in adipose tissue directly and indirectly affects the kidneys by increasing renal sodium reabsorption, causing glomerular hyperfiltration and hypertrophy, which leads to increased proteinuria and kidney fibrosis/dysfunction. Although the interest in the adverse effects of obesity on renal diseases has grown exponentially in recent years, the relationship between obesity and renal prognosis remains controversial. This may be attributed to the long clinical course of obesity, numerous obesity-related metabolic complications, and patients' attributes. Multiple individual attributes influencing the pathophysiology of fat accumulation make it difficult to understand obesity. In such cases, it may be effective to elucidate the pathophysiology by conducting research tailored to individual attributes from the perspective of attribute-based medicine/personalized medicine. We consider the appropriate use of clinical indicators necessary, according to attributes such as chronic kidney disease stage, level of visceral adipose tissue accumulation, age, and sex. Selecting treatments and clinical indicators based on individual attributes will allow for advancements in the clinical management of patients with obesity and chronic kidney disease. In the clinical setting of obesity-related nephropathy, it is first necessary to accumulate attribute-based studies resulting from the accurate evaluation of visceral fat accumulation to establish evidence for promoting personalized medicine.

摘要

内脏脂肪组织在肥胖和代谢综合征中起着核心作用,是心血管和代谢紊乱的独立危险因素。内脏脂肪组织的增加会促进脂肪因子失调和胰岛素抵抗,导致多种健康问题,包括全身炎症、氧化应激和肾素-血管紧张素-醛固酮系统的激活。此外,脂肪组织的增加通过增加肾脏对钠的重吸收,直接和间接地影响肾脏,导致肾小球高滤过和肥大,从而导致蛋白尿和肾脏纤维化/功能障碍增加。

尽管近年来人们对肥胖对肾脏疾病的不良影响的兴趣呈指数级增长,但肥胖与肾脏预后之间的关系仍存在争议。这可能归因于肥胖的临床病程长、与肥胖相关的代谢并发症众多以及患者的属性。影响脂肪堆积病理生理学的多个个体属性使得理解肥胖变得困难。在这种情况下,从基于属性的医学/个性化医学的角度出发,针对个体属性进行量身定制的研究,可能有助于阐明其病理生理学。我们认为,根据慢性肾脏病分期、内脏脂肪堆积程度、年龄和性别等属性,适当使用临床指标是必要的。根据个体属性选择治疗方法和临床指标将有助于推进肥胖和慢性肾脏病患者的临床管理。

在肥胖相关性肾病的临床环境中,首先需要积累基于属性的研究,这些研究是基于对内脏脂肪堆积的准确评估得出的,以建立促进个性化医学的证据。

相似文献

[1]
Visceral fat and attribute-based medicine in chronic kidney disease.

Front Endocrinol (Lausanne). 2023

[2]
Angiotensin receptor-binding protein ATRAP/Agtrap inhibits metabolic dysfunction with visceral obesity.

J Am Heart Assoc. 2013-7-31

[3]
Obesity and insulin resistance in resistant hypertension: implications for the kidney.

Adv Chronic Kidney Dis. 2015-5

[4]
Obesity, kidney dysfunction, and inflammation: interactions in hypertension.

Cardiovasc Res. 2021-7-7

[5]
Obesity-induced hypertension: interaction of neurohumoral and renal mechanisms.

Circ Res. 2015-3-13

[6]
Impact of adipose tissue in chronic kidney disease development (Review).

Exp Ther Med. 2021-5

[7]
Resistant hypertension in the high-risk metabolic patient.

Curr Diab Rep. 2011-2

[8]
Overweight, obesity and metabolic alterations in chronic kidney disease.

Prilozi. 2009-12

[9]
Visceral adiposity and inflammatory bowel disease.

Int J Colorectal Dis. 2021-11

[10]
Cardiovascular risk of adipokines: a review.

J Int Med Res. 2018-6

引用本文的文献

[1]
Machine learning prediction of metabolic dysfunction-associated fatty liver disease risk in American adults using body composition: explainable analysis based on SHapley Additive exPlanations.

Front Nutr. 2025-6-30

[2]
The association of visceral adiposity index and diabetic kidney disease in elderly patients with type 2 diabetes mellitus: a cross-sectional study.

Front Nutr. 2025-6-20

[3]
Attribute based cross classification analyses from the BRIGHTEN study reveal that therapeutic responsiveness to erythropoiesis stimulating agents predicts cardiorenal prognosis in renal anemia.

Sci Rep. 2025-7-2

[4]
Association of the dietary inflammation index with the prevalence of stroke in patients with diabetes.

Sci Rep. 2025-5-28

[5]
Association between uric acid to high-density lipoprotein cholesterol ratio and chronic kidney disease in Chinese patients with type 2 diabetes mellitus: a cross-sectional study.

Front Nutr. 2025-4-14

[6]
The association between the cardiac metabolic index and rapid kidney function decline and CKD in individuals with different glucose metabolism statuses: results from the China health and retirement longitudinal study.

Lipids Health Dis. 2025-4-23

[7]
A comparison between radiomic biological age and chronological age in estimating kidney function.

Sci Rep. 2025-4-18

[8]
Association between cardiometabolic index and albuminuria: Evidence from NHANES 2017-2020.

PLoS One. 2025-2-25

[9]
The association between visceral fat metabolic score and stroke: mediation by declining kidney function.

Diabetol Metab Syndr. 2025-2-8

[10]
extract prevents acute kidney injury induced by high-fat diet and streptozotocin via alleviation of oxidative stress and apoptosis in pre-diabetic rats.

Front Pharmacol. 2024-10-22

本文引用的文献

[1]
Deep learning approaches for noncoding variant prioritization in neurodegenerative diseases.

Front Aging Neurosci. 2022-11-18

[2]
Machine learning for morbid glomerular hypertrophy.

Sci Rep. 2022-11-9

[3]
Research Centers Collaborative Network Workshop on Sex and Gender Differences in Aging.

Innov Aging. 2022-8-21

[4]
The Influence of Sex, Gender, or Age on Outcomes of Digital Technologies for Treatment and Monitoring of Chronic Obstructive Pulmonary Disease: Protocol for an Overview of Systematic Reviews.

JMIR Res Protoc. 2022-10-12

[5]
Age and the Course of GFR in Persons Aged 70 and Above.

Clin J Am Soc Nephrol. 2022-8

[6]
Computed Tomography Image Analysis of Body Fat Based on Multi-Image Information.

Biomed Res Int. 2022

[7]
The Regulation of Adipose Tissue Health by Estrogens.

Front Endocrinol (Lausanne). 2022

[8]
Implication of Sex Differences in Visceral Fat for the Assessment of Incidence Risk of Type 2 Diabetes Mellitus.

Diabetes Metab J. 2022-5

[9]
An analysis of neuroscience and psychiatry papers published from 2009 and 2019 outlines opportunities for increasing discovery of sex differences.

Nat Commun. 2022-4-19

[10]
Obesity-related glomerulopathy: Current approaches and future perspectives.

Obes Rev. 2022-7

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索