Every one-grade increase in body roundness index doubles the risk of postmenopausal cardiometabolic multimorbidity: a CHARLS-based cohort study and its implications for public health screening

YUAN Hangtao; LIN Bo; LONG Xiaoyan; REN Xueyu; LIN Hui; CUI Xiaoyun; DONG Qiaozhi

doi:10.16016/j.2097-0927.202601107

您当前的位置：

首页 >

文章列表页 >

Every one-grade increase in body roundness index doubles the risk of postmenopausal cardiometabolic multimorbidity: a CHARLS-based cohort study and its implications for public health screening

Think Tank for Public Health | 更新时间：2026-07-15

- Every one-grade increase in body roundness index doubles the risk of postmenopausal cardiometabolic multimorbidity: a CHARLS-based cohort study and its implications for public health screening
- Journal of Army Medical University Vol. 48, Issue 13, Pages: 1897-1907(2026)
- 作者机构：
  
  1.北京中医药大学第二临床医学院，北京
  2.北京中医药大学东方医院心内科，北京
- 作者简介：
  
  DONG Qiaozhi， E-mail： 310864364@qq.com
- 基金信息：
  
  the General Program of National Natural Science Foundation of China(81774044);the Clinical Research Operating Fund for Central High-Level Hospitals of Traditional Chinese Medicine(DFGZRB-2024GJRCO17)
- DOI：10.16016/j.2097-0927.202601107
  CLC： R195.4;R541;R589
- Received：26 January 2026，
  
  Revised：2026-05-08，
  
  Accepted：12 May 2026，
  
  Published：15 July 2026
- 稿件说明：
移动端阅览
袁杭滔，林博，隆小燕，等.累积身体圆度指数每增一档，绝经后心脏代谢性共病风险翻倍：基于CHARLS的队列研究与公共卫生筛查启示［J］.陆军军医大学学报，2026，48（13）：1897-1907.DOI：10.16016/j.2097-0927.202601107.

YUAN H T，LIN B，LONG X Y，et al.Every one-grade increase in body roundness index doubles the risk of postmenopausal cardiometabolic multimorbidity： a CHARLS-based cohort study and its implications for public health screening［J］.J Army Med Univ，2026，48（13）：1897-1907.DOI：10.16016/j.2097-0927.202601107.
袁杭滔，林博，隆小燕，等.累积身体圆度指数每增一档，绝经后心脏代谢性共病风险翻倍：基于CHARLS的队列研究与公共卫生筛查启示［J］.陆军军医大学学报，2026，48（13）：1897-1907.DOI：10.16016/j.2097-0927.202601107. DOI：

YUAN H T，LIN B，LONG X Y，et al.Every one-grade increase in body roundness index doubles the risk of postmenopausal cardiometabolic multimorbidity： a CHARLS-based cohort study and its implications for public health screening［J］.J Army Med Univ，2026，48（13）：1897-1907.DOI：10.16016/j.2097-0927.202601107. DOI：

摘要

目的

心脏代谢性共病（cardiometabolic multimorbidity，CMM）与严重健康结局相关；绝经是女性心血管疾病的独立危险因素，该阶段中心性肥胖风险增加；身体圆度指数（body roundness index，BRI）能有效反映内脏肥胖。探讨BRI的累积暴露水平与我国绝经后女性CMM风险的关联强度，以评估累积BRI（cumulative body roundness index，cuBRI）作为CMM长期风险标志物和简易筛查工具的潜力。

方法

基于中国健康与养老追踪调查（China Health and Retirement Longitudinal Study，CHARLS）2011—2020年数据，纳入3 780名绝经后女性作为研究对象。采用多因素Logistic回归模型分析cuBRI、BRI动态轨迹与CMM风险的关联；利用限制性立方样条（restricted cubic splines，RCS）曲线检验剂量-反应关系；通过亚组分析考察效应修饰，并采用Bonferroni及错误发现率（false discovery rate，FDR）校正控制假阳性；使用ROC曲线比较cuBRI与BMI的预测能力。

结果

完全调整模型显示，cuBRI每增加1个四分位间距（interquartile range，IQR），CMM风险增加112.4%（

=2.124，95%

：1.901~2.373，

0.001）；与cuBRI最低IQR组相比，最高IQR组的CMM风险显著升高（

=4.701，95%

：3.661~6.081，

0.001）。逐步Logistic回归结果进一步证实，cuBRI、BMI、年龄、血脂异常、肾脏疾病、抑郁评分、C反应蛋白（C-reactive protein，CRP）是CMM的独立危险因素（均

0.01）；RCS曲线分析进一步显示，cuBRI与CMM风险呈线性正相关关系（

overall

0.001，

nonlinear

=0.224），当cuBRI18.346时，CMM呈显著持续上升趋势。ROC曲线显示，cuBRI（AUC=0.742）预测CMM的能力与BMI（AUC=0.747）相当。亚组分析显示，经FDR校正和Bonferroni校正后，在年龄45~60岁、年龄≥60岁、无血脂异常、无肾脏疾病、流调中心抑郁量表（center for epidemiologic studies depression scale，CES-D）评分10分以及BMI为18.5~24.0 kg/m

的亚组中，cuBRI与CMM的正向关联仍保持稳健（

Bonferroni

均0.05）。

结论

cuBRI水平升高与我国绝经后女性CMM患病风险呈显著正向关联，其预测效能与BMI相当，提示其可能有助于反映长期中心性肥胖负荷，用于识别CMM高危人群。对策　依托“健康中国2030”及国家基本公共卫生服务框架，建议将cuBRI纳入绝经后女性基层随访内容，识别高危人群（cuBRI18.346），实施生活方式干预及代谢指标综合管理；cuBRI与BMI联合应用或可优化风险分层，其因果效应及最优切点尚需干预性研究验证。

Abstract

Objective

Cardiometabolic multimorbidity(CMM) is associated with severe health outcomes; menopause is an independent risk factor for cardiovascular disease in women

and the risk of central obesity is also increased during this phase. Body roundness index(BRI) can effectively reflect visceral obesity. This study aims to investigate the of strength association between cumulative exposure to BRI and CMM risk in postmenopausal Chinese women

and to evaluate the potential of cumulative(cuBRI) as a long-term risk marker and a simple screening tool for CMM.

Methods

Based on data from the China Health and Retirement Longitudinal Study(CHARLS) from 2011 to 2020

3 780 postmenopausal women were enrolled as study participants. Multivariate logistic regression models were used to analyze the association of cuBRI and BRI trajectories with CMM risk; restricted cubic splines(RCS) curves were employed to examine the dose-response relationship; subgroup analyses were conducted to determine effect modification

and Bonferroni and false discovery rate(FDR) corrections were applied to control false positives. ROC curves were plotted to compare the predictive performance of cuBRI with that of BMI.

Results

The fully adjusted model showed that for every 1-interquartile range(IQR) increase in cuBRI

the risk of CMM increased by 112.4%(

=2.124

95%

: 1.901 to 2.373

0.001); compared with the lowest cuBRI IQR group

the risk of CMM was significantly higher in the highest cuBRI IQR group(

=4.701

95%

: 3.661 to 6.081

0.001). Results from stepwise logistic regression further confirmed that cuBRI

BMI

age

dyslipidemia

kidney disease

depression scores

and C-reactive protein(CRP) were independent risk factors for CMM(all

0.01). RCS analysis further demonstrated a linear positive correlation between cuBRI and CMM risk(

overall

0.001

nonlinear

=0.224).When cuBBI18.346

CMM risk shows a significant and sustained upward trend. ROC curve analysis indicated that cuBRI(AUC=0.742) showed a predictive performance for CMM comparable to that of BMI(AUC=0.747). Subgroup analyses revealed that

after FDR and Bonferroni corrections

the positive association between cuBRI and CMM remained robust in the following subgroups: those aged 45 to 60 years

those aged ≥60 years

those without dyslipidemia

those without kidney disease

those with a score of center f

or epidemiologic studies depression scale(CES-D) 10

and BMI of 18.5 to 24.0 kg/m² (all

Bonferroni

0.05).

Conclusion

Elevated cuBRI levels are significantly and positively associated with the risk of CMM in postmenopausal Chinese women

and their predictive performance is comparable to that of BMI

suggesting that it may help reflect long-term central obesity burden

and can be used to identify high-risk populations for CMM. Countermeasures　Under the framework of “Healthy China 2030” initiative and the national framework for basic public health services

it is recommended that cuBRI be incorporated into primary-care follow-up protocols for postmenopausal women to identify high-risk populations(cuBRI 18.346)

and to implement lifestyle interventions and comprehensive management of metabolic indicators. The combined application of cuBRI and BMI may optimize risk stratification

and its causal effects and optimal cutoff point require validation through intervention studies.

关键词

Keywords

references

DI ANGELANTONIO E ， KAPTOGE S ， WORMSER D ， et al . Association of cardiometabolic multimorbidity with mortality ［J］. Jama ， 2015 ， 314 （ 1 ）： 52 . DOI： 10.1001/jama.2015. 7008 http://dx.doi.org/10.1001/jama.2015.7008 .

SU B B ， LIU C ， CHEN L ， et al . Long-term exposure to PM 2.5 and O 3 with cardiometabolic multimorbidity： Evidence among Chinese elderly population from 462 cities ［J］. Ecotoxicol Environ Saf ， 2023 ， 255 ： 114790 . DOI： 10.1016/j.ecoenv.2023.114790 http://dx.doi.org/10.1016/j.ecoenv.2023.114790 .

ZHANG D D ， TANG X ， SHEN P ， et al . Multimorbidity of cardiometabolic diseases： prevalence and risk for mortality from one million Chinese adults in a longitudinal cohort study ［J］. BMJ Open ， 2019 ， 9 （ 3 ）： e024476 . DOI： 10.1136/bmjopen-2018-024476 http://dx.doi.org/10.1136/bmjopen-2018-024476 .

ZHAO Y ， ZHANG H ， LIU X Y ， et al . The prevalence of cardiometabolic multimorbidity and its associations with health outcomes among women in China ［J］. Front Cardiovasc Med ， 2023 ， 10 ： 922932 . DOI： 10.3389/fcvm.2023.922932 http://dx.doi.org/10.3389/fcvm.2023.922932 .

LIU J L ， LIU M ， CHAI Z L ， et al . Projected rapid growth in diabetes disease burden and economic burden in China： a spatio-temporal study from 2020 to 2030 ［J］. Lancet Reg Health West Pac ， 2023 ， 33 ： 100700 . DOI： 10.1016/j.lanwpc.2023.100700 http://dx.doi.org/10.1016/j.lanwpc.2023.100700 .

MOSCA L ， APPEL L J ， BENJAMIN E J ， et al . Evidence-based guidelines for cardiovascular disease prevention in women ［J］. J Am Coll Cardiol ， 2004 ， 43 （ 5 ）： 900 - 921 . DOI： 10.1016/j.jacc.2004.02.001 http://dx.doi.org/10.1016/j.jacc.2004.02.001 .

FELDMAN R D . Sex-specific determinants of coronary artery disease and atherosclerotic risk factors： estrogen and beyond ［J］. Can J Cardiol ， 2020 ， 36 （ 5 ）： 706 - 711 . DOI： 10.1016/j.cjca.2020.03.002 http://dx.doi.org/10.1016/j.cjca.2020.03.002 .

LOBO R A ， GOMPEL A . Management of menopause： a view towards prevention ［J］. Lancet Diabetes Endocrinol ， 2022 ， 10 （ 6 ）： 457 - 470 . DOI： 10.1016/S2213-8587（21）00269-2 http://dx.doi.org/10.1016/S2213-8587（21）00269-2 .

ZHOU L Q ， WANG J J ， ZHOU Z R ， et al . Long-term dual-trajectories of TyG and LAP and their association with cardiometabolic multimorbidity in midlife： the CARDIA study ［J］. Cardiovasc Diabetol ， 2025 ， 24 （ 1 ）： 198 . DOI： 10.1186/s12933-025-02761-1 http://dx.doi.org/10.1186/s12933-025-02761-1 .

THOMAS D M ， BREDLAU C ， BOSY-WESTPHAL A ， et al . Relationships between body roundness with body fat and visceral adipose tissue emerging from a new geometrical model： Body Roundness with Body Fat Visceral Adipose Tissue ［J］. Obesity ， 2013 ， 21 （ 11 ）： 2264 - 2271 . DOI： 10.1002/oby.20408 http://dx.doi.org/10.1002/oby.20408 .

ZHU T Y ， TIAN Y X ， WANG J Q ， et al . The relationship between visceral fat accumulation and risk of cardiometabolic multimorbidity： the roles of accelerated biological aging ［J］. Nutrients ， 2025 ， 17 （ 8 ）： 1397 . DOI： 10.3390/nu17081397 http://dx.doi.org/10.3390/nu17081397 .

ENG P C ， DER TEO A E ， LEOW M K S ， et al . Body roundness index（BRI） and obesity-related anthropometrics： Relationship to visceral adiposity， insulin sensitivity index and cardiometabolic risk ［J］. Diabetes Obesity Metabolism ， 2025 ， 27 （ 10 ）： 5554 - 5565 . DOI： 10.1111/dom.16601 http://dx.doi.org/10.1111/dom.16601 .

FAN X B ， LIANG Y C ， GE J ， et al . Combined association of the triglyceride glucose index and body roundness index with cardiovascular disease in middle-aged and elderly persons with diabetes： a CHARLS-based cohort study ［J］. Front Nutr ， 2026 ， 12 ： 1724178 . DOI： 10.3389/fnut.2025. 1724178 http://dx.doi.org/10.3389/fnut.2025.1724178 .

ZHAO Y H ， HU Y S ， SMITH J P ， et al . Cohort profile： the China health and retirement longitudinal study（CHARLS）［J］. Int J Epidemiol ， 2014 ， 43 （ 1 ）： 61 - 68 . DOI： 10.1093/ije/dys203 http://dx.doi.org/10.1093/ije/dys203 .

CHEN Y C ， YANG H X ， LI D ， et al . Association of cardiorespiratory fitness with the incidence and progression trajectory of cardiometabolic multimorbidity ［J］. Br J Sports Med ， 2025 ， 59 （ 5 ）： 306 - 315 . DOI： 10.1136/bjsports-2024-108955 http://dx.doi.org/10.1136/bjsports-2024-108955 .

TANG F ， LIU D ， ZHANG L ， et al . Targeting endothelial cells with golden spice curcumin： a promising therapy for cardiometabolic multimorbidity ［J］. Pharmacol Res ， 2023 ， 197 ： 106953 . DOI： 10.1016/j.phrs.2023.106953 http://dx.doi.org/10.1016/j.phrs.2023.106953 .

AMERICAN DIABETES ASSOCIATION PROFESSIONAL PRACTICE COMMITTEE . 2 . diagnosis and classification of diabetes： standards of care in diabetes： 2024 ［J］. Diabetes Care ， 2024， 47 （ Suppl 1 ）： S20 - S42 . DOI： 10.2337/dc24-S002 http://dx.doi.org/10.2337/dc24-S002 .

ZOU Y ， LU S ， LI D D ， et al . Exposure of cumulative atherogenic index of plasma and the development of prediabetes in middle-aged and elderly individuals： evidence from the CHARLS cohort study ［J］. Cardiovasc Diabetol ， 2024 ， 23 （ 1 ）： 355 . DOI： 10.1186/s12933-024-02449-y http://dx.doi.org/10.1186/s12933-024-02449-y .

NAGIN D S . Group-based modeling of development ［M］. Cambridge ： Harvard University Press ， 2005 . DOI： 10.4159/9780674041318 http://dx.doi.org/10.4159/9780674041318 .

YANG M ， LIU J ， SHEN Q ， et al . Body roundness index trajectories and the incidence of cardiovascular disease： evidence from the China health and retirement longitudinal study ［J］. J Am Heart Assoc ， 2024 ， 13 （ 19 ）： e034768 . DOI： 10.1161/jaha.124.034768 http://dx.doi.org/10.1161/jaha.124.034768 .

ZHANG X ， DING L ， HU H ， et al . Associations of body-roundness index and sarcopenia with cardiovascular disease among middle-aged and older adults： findings from CHARLS ［J］. J Nutr Health Aging ， 2023 ， 27 （ 11 ）： 953 - 959 . DOI： 10.1007/s12603-023-2001-2 http://dx.doi.org/10.1007/s12603-023-2001-2 .

LIU J P ， LIU W ， WANG L ， et al . Association of visceral adiposity index and handgrip strength with cardiometabolic multimorbidity among middle-aged and older adults： findings from charls 2011–2020 ［J］. Nutrients ， 2024 ， 16 （ 14 ）： 2277 . DOI ： 10.3390/nu16142277 http://dx.doi.org/10.3390/nu16142277 .

诸骏仁，高润霖，赵水平，等 . 中国成人血脂异常防治指南（2016年修订版）［J］. 中国循环杂志， 2016 ， 31 （ 10 ）： 937 - 953 .

ZHU J R ， GAO R L ， ZHAO S P ， et al . Guidelines for prevention and treatment of dyslipidemia in adults in China（revised in 2016）［J］. Chin Circ J ， 2016 ， 31 （ 10 ）： 937 - 953 .

LUO Y X ， YIN Z Y ， LI X ， et al . Cardiometabolic index predicts cardiovascular events in aging population： a machine learning-based risk prediction framework from a large-scale longitudinal study ［J］. Front Endocrinol ， 2025 ， 16 ： 1551779 . DOI： 10.3389/fendo.2025.1551779 http://dx.doi.org/10.3389/fendo.2025.1551779 .

YAN Y M ， DU Y Q ， LI X ， et al . Physical function， ADL， and depressive symptoms in Chinese elderly： Evidence from the CHARLS ［J］. Front Public Health ， 2023 ， 11 ： 1017689 . DOI： 10.3389/fpubh.2023.1017689 http://dx.doi.org/10.3389/fpubh.2023.1017689 .

ZHOU M G ， WANG H D ， ZENG X Y ， et al . Mortality， morbidity， and risk factors in China and its provinces， 1990—2017： a systematic analysis for the Global Burden of Disease Study 2017 ［J］. Lancet ， 2019 ， 394 （ 10204 ）： 1145 - 1158 . DOI： 10.1016/S0140-6736（19）30427-1 http://dx.doi.org/10.1016/S0140-6736（19）30427-1 .

袁杭滔，洪妍，林博，等 . C反应蛋白-甘油三酯-葡萄糖指数与中国中老年人发生心脏代谢性共病的关系：基于CHARLS数据库的队列研究［J］. 实用心脑肺血管病杂志， 2025 ， 33 （ 11 ）： 41 - 47 . DOI： 10.12114/j.issn.1008-5971.2025.00.237 http://dx.doi.org/10.12114/j.issn.1008-5971.2025.00.237 .

YUAN H T ， HONG Y ， LIN B ， et al . Relationship between CTI and cardiometabolic comorbidity in Chinese middle-aged and elderly people： a cohort study based on the CHARLS database ［J］. Pract J Card Cereb Pneumal Vasc Dis ， 2025 ， 33 （ 11 ）： 41 - 47 . DOI： 10.12114/j.issn.1008-5971.2025.00.237 http://dx.doi.org/10.12114/j.issn.1008-5971.2025.00.237 .

ZORENA K ， JACHIMOWICZ-DUDA O ， ŚLĘZAK D ， et al . Adipokines and obesity. potential link to metabolic disorders and chronic complications ［J］. Int J Mol Sci ， 2020 ， 21 （ 10 ）： 3570 . DOI： 10.3390/ijms21103570 http://dx.doi.org/10.3390/ijms21103570 .

POWELL-WILEY T M ， POIRIER P ， BURKE L E ， et al . Obesity and cardiovascular disease： a scientific statement from the American heart association ［J］. Circulation ， 2021 ， 143 （ 21 ）： e984 - e1010 . DOI： 10.1161/cir.0000000000000973 http://dx.doi.org/10.1161/cir.0000000000000973 .

LOPES H F ， CORRÊA-GIANNELLA M L ， CONSOLIM-COLOMBO F M ， et al . Visceral adiposity syndrome ［J］. Diabetol Metab Syndr ， 2016 ， 8 （ 1 ）： 40 . DOI： 10.1186/s13098-016-0156-2 http://dx.doi.org/10.1186/s13098-016-0156-2 .

HOTAMISLIGIL G S . Inflammation， metaflammation and immunometabolic disorders ［J］. Nature ， 2017 ， 542 （ 7640 ）： 177 - 185 . DOI： 10.1038/nature21363 http://dx.doi.org/10.1038/nature21363 .

QIAO T T ， LUO T ， PEI H L ， et al . Association between abdominal obesity indices and risk of cardiovascular events in Chinese populations with type 2 diabetes： a prospective cohort study ［J］. Cardiovasc Diabetol ， 2022 ， 21 （ 1 ）： 225 . DOI： 10.1186/s12933-022-01670-x http://dx.doi.org/10.1186/s12933-022-01670-x .

GANGITANO E ， BARBARO G ， GNESSI L ， et al . Epicardial fat thickness is increased in menopausal patients in comparison with premenopausal patients with similar excess weight： a cross-sectional study ［J］. J Transl Med ， 2025 ， 23 （ 1 ）： 401 . DOI： 10.1186/s12967-025-06335-3 http://dx.doi.org/10.1186/s12967-025-06335-3 .

MILANESCHI Y ， SIMMONS W K ， VAN ROSSUM E F C ， et al . Depression and obesity： evidence of shared biological mechanisms ［J］. Mol Psychiatry ， 2019 ， 24 （ 1 ）： 18 - 33 . DOI： 10.1038/s41380-018-0017-5 http://dx.doi.org/10.1038/s41380-018-0017-5 .

VREEBURG S A ， HOOGENDIJK W J G ， VAN PELT J ， et al . Major depressive disorder and hypothalamic-pituitary-adrenal axis activity： results from a large cohort study ［J］. Arch Gen Psychiatry ， 2009 ， 66 （ 6 ）： 617 - 626 . DOI： 10.1001/archgenpsychiatry.2009.50 http://dx.doi.org/10.1001/archgenpsychiatry.2009.50 .

HOWREN M B ， LAMKIN D M ， SULS J . Associations of depression with C-reactive protein， IL-1， and IL-6： a meta-analysis ［J］. Psychosom Med ， 2009 ， 71 （ 2 ）： 171 - 186 . DOI： 10.1097/PSY.0b013e3181907c1b http://dx.doi.org/10.1097/PSY.0b013e3181907c1b .

OKAMURA F ， TASHIRO A ， UTSUMI A ， et al . Insulin resistance in patients with depression and its changes in the clinical course of depression： a report on three cases using the minimal model analysis ［J］. Intern Med ， 1999 ， 38 （ 3 ）： 257 - 260 . DOI： 10.2169/internalmedicine.38.257 http://dx.doi.org/10.2169/internalmedicine.38.257 .

ZHOU D ， LIU X C ， HUANG Y Q ， et al . A nonlinear association between body roundness index and all-cause mortality and cardiovascular mortality in general population ［J］. Public Health Nutr ， 2022 ， 25 （ 11 ）： 3008 - 3015 . DOI： 10.1017/s1368980022001768 http://dx.doi.org/10.1017/s1368980022001768 .

LEE S H ， PARK S Y ， CHOI C S . Insulin resistance： from mechanisms to therapeutic strategies ［J］. Diabetes Metab J ， 2022 ， 46 （ 1 ）： 15 - 37 . DOI： 10.4093/dmj.2021.0280 http://dx.doi.org/10.4093/dmj.2021.0280 .

KERR A G ， ANDERSSON D P ， DAHLMAN I ， et al . Adipose insulin resistance associates with dyslipidemia independent of liver resistance and involves early hormone signaling ［J］. Arterioscler Thromb Vasc Biol ， 2023 ， 43 （ 6 ）： 1054 - 1065 . DOI： 10.1161/atvbaha.123.319227 http://dx.doi.org/10.1161/atvbaha.123.319227 .

LIU H W ， LI J X ， LIU F C ， et al . Efficacy and safety of low levels of low-density lipoprotein cholesterol： trans-ancestry linear and non-linear Mendelian randomization analyses ［J］. Eur J Prev Cardiol ， 2023 ， 30 （ 12 ）： 1207 - 1215 . DOI： 10.1093/eurjpc/zwad111 http://dx.doi.org/10.1093/eurjpc/zwad111 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

MCC950 protects retinal photoreceptor cells against blast-induced injury by inhibiting the NLRP3/Caspase-1/GSDMD pathway in mice

Personal traits as the core determinant of human heat tolerance: a multi-factorial interaction analysis based on the health ecological model

Differential roles of the uridine-P2Y6R signaling axis in mouse models of retinitis pigmentosa with distinct genetic mutations

Diminished small-world properties and compensatory reorganization of resting-state functional brain networks in patients with subacute spontaneous intracerebral hemorrhage: a graph-theoretic analysis of topological properties and their relationship with cognitive impairment

6-Gingerol alleviates acute graft-versus-host disease by regulating Th17/Treg differentiation via the P2Y13/Ca2+ signaling pathway

Related Author

No data

Related Institution

No data

⁰