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Article ; Online: Correlates of life course physical activity in participants of the Baltimore longitudinal study of aging.

Moore, Ann Zenobia / Simonsick, Eleanor M / Landman, Bennett / Schrack, Jennifer / Wanigatunga, Amal A / Ferrucci, Luigi

Aging cell

2024 Volume 23, Issue 4, Page(s) e14078

Abstract: Physical activity is consistently associated with better health and longer life spans. However, the extent to which length and intensity of exercise across the life course impact health outcomes relative to current activity is undefined. Participants of ... ...

Abstract	Physical activity is consistently associated with better health and longer life spans. However, the extent to which length and intensity of exercise across the life course impact health outcomes relative to current activity is undefined. Participants of the Baltimore Longitudinal Study of Aging were asked to categorize their level of physical activity in each decade of life from adolescence to the current decade. In linear mixed effects models, self-reported past levels of physical activity were significantly associated with activity assessed at study visits in the corresponding decade of life either by questionnaire or accelerometry. A pattern of life course physical activity (LCPA) derived by ranking participants on reported activity intensity across multiple decades was consistent with the trajectories of activity estimated from standard physical activity questionnaires assessed at prior study visits. In multivariable linear regression models LCPA was associated with clinical characteristics, measures of body composition and indicators of physical performance independent of current physical activity. After adjustment for minutes of high intensity exercise, LCPA remained significantly associated with peak VO
MeSH term(s)	Humans ; Longitudinal Studies ; Baltimore ; Life Change Events ; Aging/physiology ; Exercise/physiology
Language	English
Publishing date	2024-01-16
Publishing country	England
Document type	Journal Article
ZDB-ID	2113083-8
ISSN	1474-9726 ; 1474-9718
ISSN (online)	1474-9726
ISSN	1474-9718
DOI	10.1111/acel.14078
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Article: Epigenetic Age Acceleration and Hearing: Observations From the Baltimore Longitudinal Study of Aging.

Kuo, Pei-Lun / Moore, Ann Zenobia / Lin, Frank R / Ferrucci, Luigi

Frontiers in aging neuroscience

2021 Volume 13, Page(s) 790926

Abstract: Objectives: ...

Abstract	Objectives:
Language	English
Publishing date	2021-12-15
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2558898-9
ISSN	1663-4365
ISSN	1663-4365
DOI	10.3389/fnagi.2021.790926
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Article: Longitudinal Variability Analysis on Low-dose Abdominal CT with Deep Learning-based Segmentation.

Yu, Xin / Tang, Yucheng / Yang, Qi / Lee, Ho Hin / Gao, Riqiang / Bao, Shunxing / Moore, Ann Zenobia / Ferrucci, Luigi / Landman, Bennett A

Proceedings of SPIE--the International Society for Optical Engineering

2023 Volume 12464

Abstract: Metabolic health is increasingly implicated as a risk factor across conditions from cardiology to neurology, and efficiency assessment of body composition is critical to quantitatively characterizing these relationships. 2D low dose single slice computed ...

Abstract	Metabolic health is increasingly implicated as a risk factor across conditions from cardiology to neurology, and efficiency assessment of body composition is critical to quantitatively characterizing these relationships. 2D low dose single slice computed tomography (CT) provides a high resolution, quantitative tissue map, albeit with a limited field of view. Although numerous potential analyses have been proposed in quantifying image context, there has been no comprehensive study for low-dose single slice CT longitudinal variability with automated segmentation. We studied a total of 1816 slices from 1469 subjects of Baltimore Longitudinal Study on Aging (BLSA) abdominal dataset using supervised deep learning-based segmentation and unsupervised clustering method. 300 out of 1469 subjects that have two year gap in their first two scans were pick out to evaluate longitudinal variability with measurements including intraclass correlation coefficient (ICC) and coefficient of variation (CV) in terms of tissues/organs size and mean intensity. We showed that our segmentation methods are stable in longitudinal settings with Dice ranged from 0.821 to 0.962 for thirteen target abdominal tissues structures. We observed high variability in most organ with ICC<0.5, low variability in the area of muscle, abdominal wall, fat and body mask with average ICC≥0.8. We found that the variability in organ is highly related to the cross-sectional position of the 2D slice. Our efforts pave quantitative exploration and quality control to reduce uncertainties in longitudinal analysis.
Language	English
Publishing date	2023-04-03
Publishing country	United States
Document type	Journal Article
ISSN	0277-786X
ISSN	0277-786X
DOI	10.1117/12.2653762
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Article ; Online: Plant Protein but Not Animal Protein Consumption Is Associated with Frailty through Plasma Metabolites.

Tanaka, Toshiko / Das, Jayanta K / Jin, Yichen / Tian, Qu / Moaddel, Ruin / Moore, Ann Zenobia / Tucker, Katherine L / Talegawkar, Sameera A / Ferrucci, Luigi

Nutrients

2023 Volume 15, Issue 19

Abstract: There is evidence that the association of protein intake and frailty may depend on the source of dietary protein. The mechanism underlying this association is not clear. In this study, we explore circulating metabolites as mediators of the relationship ... ...

Abstract	There is evidence that the association of protein intake and frailty may depend on the source of dietary protein. The mechanism underlying this association is not clear. In this study, we explore circulating metabolites as mediators of the relationship between dietary protein and of frailty in participants of the Baltimore Longitudinal Study of Aging (BLSA). Cross-sectional analyses in 735 BLSA participants of associations between plant and animal protein intake and frailty. Usual protein intake from plant and animal sources were estimated with a Food Frequency Questionnaire (FFQ) and frailty was assessed with a 44-item Frailty Index (FI). Compared with the lowest quartile, higher quartiles of plant, but not animal, protein were associated with lower FI. Twenty-five plasma metabolites were associated with plant protein intake; of these, fifteen, including phosphatidylcholines, cholesterol esters, sphingomyelins, and indole metabolites, mediated the association between plant protein intake and FI. The protective association between plant protein consumption and FI is mediated by lower abundance of lipid metabolites and higher abundance of tryptophan-related metabolites.
MeSH term(s)	Humans ; Aged ; Frailty ; Longitudinal Studies ; Plant Proteins ; Cross-Sectional Studies ; Dietary Proteins ; Frail Elderly
Chemical Substances	Plant Proteins ; Dietary Proteins
Language	English
Publishing date	2023-09-28
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2518386-2
ISSN	2072-6643 ; 2072-6643
ISSN (online)	2072-6643
ISSN	2072-6643
DOI	10.3390/nu15194193
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Article ; Online: Sleep Duration Polygenic Risk and Phenotype: Associations with Biomarkers of Accelerated Aging in the Baltimore Longitudinal Study of Aging.

Sosnowski, David W / Smail, Emily J / Maher, Brion S / Moore, Ann Zenobia / Kuo, Pei-Lun / Wu, Mark N / Low, Dominique V / Stone, Katie L / Simonsick, Eleanor M / Ferrucci, Luigi / Spira, Adam P

International journal of aging & human development

2024 , Page(s) 914150241231192

Abstract: We sought to explore whether genetic risk for, and self-reported, short sleep are associated with biological aging and whether age and sex moderate these associations. Participants were a subset of individuals from the Baltimore Longitudinal Study of ... ...

Abstract	We sought to explore whether genetic risk for, and self-reported, short sleep are associated with biological aging and whether age and sex moderate these associations. Participants were a subset of individuals from the Baltimore Longitudinal Study of Aging who had complete data on self-reported sleep (
Language	English
Publishing date	2024-02-12
Publishing country	United States
Document type	Journal Article
ZDB-ID	187072-5
ISSN	1541-3535 ; 0091-4150
ISSN (online)	1541-3535
ISSN	0091-4150
DOI	10.1177/00914150241231192
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Article: Deep conditional generative model for longitudinal single-slice abdominal computed tomography harmonization.

Yu, Xin / Yang, Qi / Tang, Yucheng / Gao, Riqiang / Bao, Shunxing / Cai, Leon Y / Lee, Ho Hin / Huo, Yuankai / Moore, Ann Zenobia / Ferrucci, Luigi / Landman, Bennett A

Journal of medical imaging (Bellingham, Wash.)

2024 Volume 11, Issue 2, Page(s) 24008

Abstract: Purpose: Two-dimensional single-slice abdominal computed tomography (CT) provides a detailed tissue map with high resolution allowing quantitative characterization of relationships between health conditions and aging. However, longitudinal analysis of ... ...

Abstract	Purpose: Two-dimensional single-slice abdominal computed tomography (CT) provides a detailed tissue map with high resolution allowing quantitative characterization of relationships between health conditions and aging. However, longitudinal analysis of body composition changes using these scans is difficult due to positional variation between slices acquired in different years, which leads to different organs/tissues being captured. Approach: To address this issue, we propose C-SliceGen, which takes an arbitrary axial slice in the abdominal region as a condition and generates a pre-defined vertebral level slice by estimating structural changes in the latent space. Results: Our experiments on 2608 volumetric CT data from two in-house datasets and 50 subjects from the 2015 Multi-Atlas Abdomen Labeling Challenge Beyond the Cranial Vault (BTCV) dataset demonstrate that our model can generate high-quality images that are realistic and similar. We further evaluate our method's capability to harmonize longitudinal positional variation on 1033 subjects from the Baltimore longitudinal study of aging dataset, which contains longitudinal single abdominal slices, and confirmed that our method can harmonize the slice positional variance in terms of visceral fat area. Conclusion: This approach provides a promising direction for mapping slices from different vertebral levels to a target slice and reducing positional variance for single-slice longitudinal analysis. The source code is available at: https://github.com/MASILab/C-SliceGen.
Language	English
Publishing date	2024-04-02
Publishing country	United States
Document type	Journal Article
ISSN	2329-4302
ISSN	2329-4302
DOI	10.1117/1.JMI.11.2.024008
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Article ; Online: Age-associated difference in circulating ACE2, the gateway for SARS-COV-2, in humans: results from the InCHIANTI study.

AlGhatrif, Majd / Tanaka, Toshiko / Moore, Ann Zenobia / Bandinelli, Stefania / Lakatta, Edward G / Ferrucci, Luigi

GeroScience

2021 Volume 43, Issue 2, Page(s) 619–627

Abstract: Levels of angiotensin-converting enzyme 2 (ACE2), the gateway for COVID-19 virus into the cells, have been implicated in worse COVID-19 outcomes associated with aging and cardiovascular disease (CVD). Data on age-associated differences in circulating ... ...

Abstract	Levels of angiotensin-converting enzyme 2 (ACE2), the gateway for COVID-19 virus into the cells, have been implicated in worse COVID-19 outcomes associated with aging and cardiovascular disease (CVD). Data on age-associated differences in circulating ACE2 levels in humans and the role of CVD and medications is limited. We analyzed data from 967 participants of the InCHIANTI study, a community-dwelling cohort in the Chianti region, Italy. Relative abundance of ACE2 in plasma was assessed using a proteomics platform. CVD diagnoses, use of renin-angiotensin-aldosterone system (RAAS) antagonists: ACEi, ARBs, and aldosterone antagonists, were ascertained. Multiple linear analyses were performed to examine the independent association of ACE2 with age, CVD, and RAAS antagonist use. Age was independently associated with lower log (ACE2) in persons aged ≥ 55 years (STD β = - 0.12, p = 0.0002). ACEi treatment was also independently associated with significantly lower ACE2 levels, and ACE2 was inversely associated with weight, and positively associated with peripheral artery disease (PAD) status. There was a trend toward higher circulating ACE2 levels in hypertensive individuals, but it did not reach statistical significance. In a stratified analysis, the association between log (ACE2) and log (IL-6) was more evidenced in participants with PAD. Circulating ACE2 levels demonstrate curvilinear association with age, with older individuals beyond the sixth decade age having lower levels. ACEi was associated with greater circulating ACE2 levels. Interestingly, ACE2 was elevated in PAD and positively associated with inflammatory markers, suggesting compensatory upregulation in the setting of chronic inflammation. Further studies are needed to comprehensively characterize RAAS components with aging and disease, and assess its prognostic role in predicting COVID-19 outcomes.
MeSH term(s)	Aged ; Angiotensin Receptor Antagonists ; Angiotensin-Converting Enzyme 2 ; Angiotensin-Converting Enzyme Inhibitors/therapeutic use ; COVID-19 ; Humans ; Italy/epidemiology ; Peptidyl-Dipeptidase A ; SARS-CoV-2
Chemical Substances	Angiotensin Receptor Antagonists ; Angiotensin-Converting Enzyme Inhibitors ; Peptidyl-Dipeptidase A (EC 3.4.15.1) ; Angiotensin-Converting Enzyme 2 (EC 3.4.17.23)
Language	English
Publishing date	2021-01-18
Publishing country	Switzerland
Document type	Journal Article ; Research Support, N.I.H., Intramural
ZDB-ID	2886586-8
ISSN	2509-2723 ; 2509-2715
ISSN (online)	2509-2723
ISSN	2509-2715
DOI	10.1007/s11357-020-00314-w
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Article: Accelerating 2D Abdominal Organ Segmentation with Active Learning.

Yu, Xin / Tang, Yucheng / Yang, Qi / Lee, Ho Hin / Bao, Shunxing / Moore, Ann Zenobia / Ferrucci, Luigi / Landman, Bennett A

Proceedings of SPIE--the International Society for Optical Engineering

2022 Volume 12032

Abstract: Abdominal computed tomography CT imaging enables assessment of body habitus and organ health. Quantification of these health factors necessitates semantic segmentation of key structures. Deep learning efforts have shown remarkable success in automating ... ...

Abstract	Abdominal computed tomography CT imaging enables assessment of body habitus and organ health. Quantification of these health factors necessitates semantic segmentation of key structures. Deep learning efforts have shown remarkable success in automating segmentation of abdominal CT, but these methods largely rely on 3D volumes. Current approaches are not applicable when single slice imaging is used to minimize radiation dose. For 2D abdominal organ segmentation, lack of 3D context and variety in acquired image levels are major challenges. Deep learning approaches for 2D abdominal organ segmentation benefit by adding more images with manual annotation, but annotation is resource intensive to acquire given the large quantity and the requirement of expertise. Herein, we designed a gradient based active learning annotation framework by meta-parameterizing and optimizing the exemplars to dynamically select the 'hard cases' to achieve better results with fewer annotated slices to reduce the annotation effort. With the Baltimore Longitudinal Study on Aging (BLSA) cohort, we evaluated the performance with starting from 286 subjects and added 50 more subjects iteratively to 586 subjects in total. We compared the amount of data required to add to achieve the same Dice score between using our proposed method and the random selection in terms of Dice. When achieving 0.97 of the maximum Dice, the random selection needed 4.4 times more data compared with our active learning framework. The proposed framework maximizes the efficacy of manual efforts and accelerates learning.
Language	English
Publishing date	2022-04-04
Publishing country	United States
Document type	Journal Article
ISSN	0277-786X
ISSN	0277-786X
DOI	10.1117/12.2611595
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Article ; Online: Blood DNA Methylation and Aging: A Cross-Sectional Analysis and Longitudinal Validation in the InCHIANTI Study.

Tharakan, Ravi / Ubaida-Mohien, Ceereena / Moore, Ann Zenobia / Hernandez, Dena / Tanaka, Toshiko / Ferrucci, Luigi

The journals of gerontology. Series A, Biological sciences and medical sciences

2020 Volume 75, Issue 11, Page(s) 2051–2055

Abstract: Changes in DNA methylation have been found to be highly correlated with aging in humans, but causes or consequences of these changes are not understood. We characterized the DNA methylomes of several hundred people in the Invecchiare in Chianti study to ... ...

Abstract	Changes in DNA methylation have been found to be highly correlated with aging in humans, but causes or consequences of these changes are not understood. We characterized the DNA methylomes of several hundred people in the Invecchiare in Chianti study to identify DNA sites in which percent methylation was systematically different with age. Then, we tested the hypothesis that changes of percent methylation in the same DNA sites occur longitudinally for the same DNA sites in the same subjects. We identified six differentially methylated regions in which percent methylation showed robust longitudinal changes in the same direction. We then describe functions of the genes near these differentially methylated regions and their potential relationship with aging, noting that the genes appear to regulate metabolism or cell type specificity. The nature of transcription factor binding sites in the vicinity of these differentially methylated regions suggest that these age-associated methylation changes reflect modulation of two biological mechanisms: the polycomb repressive complex 2, a protein complex that trimethylates histone H3 on lysine 27, and the transcriptional repressor CCCTC-binding factor or CTCF, both of which are regulators of chromatin architecture. These findings are consistent with the idea that changes in methylation with aging are of adaptive nature.
MeSH term(s)	Adult ; Aged ; Aged, 80 and over ; Aging/genetics ; CCCTC-Binding Factor/genetics ; CpG Islands ; Cross-Sectional Studies ; DNA/blood ; DNA Methylation ; Epigenomics ; Female ; Humans ; Italy ; Longitudinal Studies ; Male ; Middle Aged ; Prospective Studies ; Protein Binding ; Transcription Factors/metabolism
Chemical Substances	CCCTC-Binding Factor ; CTCF protein, human ; Transcription Factors ; DNA (9007-49-2)
Language	English
Publishing date	2020-03-09
Publishing country	United States
Document type	Journal Article ; Research Support, N.I.H., Extramural ; Research Support, N.I.H., Intramural ; Research Support, Non-U.S. Gov't ; Validation Study
ZDB-ID	1223643-3
ISSN	1758-535X ; 1079-5006
ISSN (online)	1758-535X
ISSN	1079-5006
DOI	10.1093/gerona/glaa052
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Article: Single slice thigh CT muscle group segmentation with domain adaptation and self-training.

Yang, Qi / Yu, Xin / Lee, Ho Hin / Cai, Leon Y / Xu, Kaiwen / Bao, Shunxing / Huo, Yuankai / Moore, Ann Zenobia / Makrogiannis, Sokratis / Ferrucci, Luigi / Landman, Bennett A

Journal of medical imaging (Bellingham, Wash.)

2023 Volume 10, Issue 4, Page(s) 44001

Abstract: Purpose: Thigh muscle group segmentation is important for assessing muscle anatomy, metabolic disease, and aging. Many efforts have been put into quantifying muscle tissues with magnetic resonance (MR) imaging, including manual annotation of individual ... ...

Abstract	Purpose: Thigh muscle group segmentation is important for assessing muscle anatomy, metabolic disease, and aging. Many efforts have been put into quantifying muscle tissues with magnetic resonance (MR) imaging, including manual annotation of individual muscles. However, leveraging publicly available annotations in MR images to achieve muscle group segmentation on single-slice computed tomography (CT) thigh images is challenging. Approach: We propose an unsupervised domain adaptation pipeline with self-training to transfer labels from three-dimensional MR to single CT slices. First, we transform the image appearance from MR to CT with CycleGAN and feed the synthesized CT images to a segmenter simultaneously. Single CT slices are divided into hard and easy cohorts based on the entropy of pseudo-labels predicted by the segmenter. After refining easy cohort pseudo-labels based on anatomical assumption, self-training with easy and hard splits is applied to fine-tune the segmenter. Results: On 152 withheld single CT thigh images, the proposed pipeline achieved a mean Dice of 0.888 (0.041) across all muscle groups, including gracilis, hamstrings, quadriceps femoris, and sartorius muscle. Conclusions: To our best knowledge, this is the first pipeline to achieve domain adaptation from MR to CT for thigh images. The proposed pipeline effectively and robustly extracts muscle groups on two-dimensional single-slice CT thigh images. The container is available for public use in GitHub repository available at: https://github.com/MASILab/DA_CT_muscle_seg.
Language	English
Publishing date	2023-07-12
Publishing country	United States
Document type	Journal Article
ISSN	2329-4302
ISSN	2329-4302
DOI	10.1117/1.JMI.10.4.044001
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