Publications by authors named "Tianzhou Ma"

Importance: The American Heart Association introduced Life's Essential 8 (LE8) as a checklist of healthy lifestyle factors to help older individuals maintain and improve cardiovascular health and live longer. How LE8 can foster healthy brain aging and interact with genetic risk factors to render the aging brain less vulnerable to dementia is not well understood.

Objective: To investigate the impact of LE8 on the white matter brain aging and the moderating effects of the allele.

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National and international biobanking efforts led to the collection of large and inclusive imaging genetics datasets that enable examination of the contribution of genetic and environmental factors to human brains in illness and health. High-resolution neuroimaging (~10 voxels) and genetic (10 single nucleotide polymorphic [SNP] variants) data are available in statistically powerful (N = 10) epidemiological and disorder-focused samples. Performing imaging genetics analyses at full resolution afforded in these datasets is a formidable computational task even under the assumption of unrelatedness among the subjects.

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In the past two decades, genome-wide association studies (GWAS) have pinpointed numerous SNPs linked to human diseases and traits, yet many of these SNPs are in non-coding regions and hard to interpret. Transcriptome-wide association studies (TWAS) integrate GWAS and expression reference panels to identify the associations at gene level with tissue specificity, potentially improving the interpretability. However, the list of individual genes identified from univariate TWAS contains little unifying biological theme, leaving the underlying mechanisms largely elusive.

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The Adolescent Brain and Cognitive Development (ABCD) project is the largest study of adolescent brain development. ABCD longitudinally tracks 11,868 participants aged 9-10 years from 21 sites using standardized protocols for multi-site MRI data collection and analysis. While the multi-site and multi-scanner study design enhances the robustness and generalizability of analysis results, it may also introduce nonbiological variances including scanner-related variations, subject motion, and deviations from protocols.

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Introduction: Nicotine addiction, a multifaceted neuropsychiatric disorder, profoundly impacts brain functions through interactions with neural pathways. Despite its significance, the impact of tobacco smoking on the whole-brain functional connectome remains largely unexplored.

Methods: We conducted a whole-brain analysis on 24,539 adults aged 40 and above from the UK Biobank cohort.

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Background/objectives: Human brain aging is a complex process that affects various aspects of brain function and structure, increasing susceptibility to neurological and psychiatric disorders. A number of nongenetic (e.g.

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Article Synopsis
  • - The study investigates the relationship between chronic stress and white matter brain age (WM BAG), a measure linked to dementia risk, using data from nearly 23,000 individuals in the UK Biobank.
  • - Researchers used a composite allostatic load (AL) index to assess cumulative stress and found that an increase in AL score was associated with an increase in WM BAG, indicating accelerated brain aging.
  • - The results suggest that managing chronic stress may be important for reducing the risk of dementia and neurodegenerative disorders, particularly in individuals aged 45-64, regardless of sex.
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  • - The study investigates how the APOE4 genetic variant interacts with plasma metabolites to affect white matter (WM) integrity in older adults, using data from 1917 participants aged 65-81.
  • - While no direct association was found between APOE4 or metabolites and WM integrity, significant interactions were observed. Specifically, certain lipoproteins were linked to decreased WM integrity in APOE4 carriers but showed a positive association in non-carriers.
  • - The findings highlight the complex role of APOE4 in moderating the effects of metabolic factors on brain health, suggesting that people with this genetic risk factor may experience unique vulnerabilities regarding white matter integrity.
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The joint analysis of imaging-genetics data facilitates the systematic investigation of genetic effects on brain structures and functions with spatial specificity. We focus on voxel-wise genome-wide association analysis, which may involve trillions of single nucleotide polymorphism (SNP)-voxel pairs. We attempt to identify underlying organized association patterns of SNP-voxel pairs and understand the polygenic and pleiotropic networks on brain imaging traits.

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Article Synopsis
  • The Adolescent Brain and Cognitive Development (ABCD) project is a comprehensive study tracking the brain development of 11,868 young participants over time, using sophisticated MRI techniques across multiple sites.
  • While the study's design helps improve the accuracy of results, challenges like variations from different scanners and participant movements can affect data quality.
  • A new reliability measure, called site-wise adaptive ICC (AICC), was created to account for these factors, revealing that data from Siemens scanners produced more reliable results compared to GE/Philips scanners in measuring brain features like fractional anisotropy and cortical thickness.
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  • The rise of multimodal omics data allows for deeper exploration of biological mechanisms, but joint analysis is complex due to variable interactions across clinical groups.
  • A new method, called Differential Canonical Correlation Analysis (dCCA), improved the identification of unique relationships between multivariate data by focusing on differential covariation patterns specific to different clinical groups.
  • dCCA has been validated through simulations and real data applications, including a study on kidney cancer, and an R package for the method is available for public use.
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Background: Tight-fitting masks and respirators, in manikin studies, improved aerosol source control compared to loose-fitting masks. Whether this translates to humans is not known.

Methods: We compared efficacy of masks (cloth and surgical) and respirators (KN95 and N95) as source control for SARS-CoV-2 viral load in exhaled breath of volunteers with COVID-19 using a controlled human experimental study.

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Article Synopsis
  • * Researchers identified two key motor-related subnetworks that exhibited a decline in connectivity as participants aged, with strong statistical significance.
  • * White matter health significantly influenced these age-related declines, as shown by measures like fractional anisotropy and the presence of white matter hyperintensities, impacting functional connectivity in the identified networks.
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Scope: Obesity and its metabolic comorbidities pose a major global challenge for public health. Glucoraphanin (GRN) is a natural bioactive compound enriched in broccoli that is known to have potential health benefits against various human chronic diseases.

Methods And Results: This study investigats the effects of broccoli GRN supplementation on body weight, metabolic parameters, gut microbiome and metabolome associated with obesity.

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Syndemic models have been used in previous studies exploring HIV-related outcomes; however, these models do not fully consider intersecting psychosocial (, substance use, depressive symptoms) and structural factors (unstable housing, concentrated housing vacancy) that influence the lived experiences of women. Therefore, there is a need to explore the syndemic effects of psychosocial and structural factors on HIV risk behaviors to better explain the multilevel factors shaping HIV disparities among black women. This analysis uses baseline data (May 2009-August 2010) from non-Hispanic black women enrolled in the HIV Prevention Trials Network 064 Women's Seroincidence Study (HPTN 064) and the American Community Survey 5-year estimates from 2007 to 2011.

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Article Synopsis
  • This study explored the link between chronic stress and white matter (WM) brain age, which predicts risks for dementia and neurodegenerative disorders.
  • Researchers assessed cumulative stress using an allostatic load (AL) index and analyzed data from nearly 23,000 participants aged 40 to 69 from the UK Biobank.
  • Findings showed that higher stress levels were associated with an increase in WM brain age, supporting the idea that managing stress could help reduce the risk of cognitive decline.
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Background: Poor glycemic control with elevated levels of hemoglobin A1c (HbA1c) is associated with increased risk of cognitive impairment, with potentially varying effects between sexes. However, the causal impact of poor glycemic control on white matter brain aging in men and women is uncertain.

Methods: We used two nonoverlapping data sets from UK Biobank cohort: gene-outcome group (with neuroimaging data, ( = 15,193; males/females: 7,101/8,092)) and gene-exposure group (without neuroimaging data, ( = 279,011; males/females: 122,638/156,373)).

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Allocating patients to treatment arms during a trial based on the observed responses accumulated up to the decision point, and sequential adaptation of this allocation, could minimize the expected number of failures or maximize total benefits to patients. In this study, we developed a Bayesian response-adaptive randomization (RAR) design targeting the endpoint of organ support-free days (OSFD) for patients admitted to the intensive care units. The OSFD is a mixture of mortality and morbidity assessed by the number of days of free of organ support within a predetermined post-randomization time-window.

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In the PSB article published in Biocomputing 2022: Proceedings of the Pacific Symposium, pp. 133-143; doi: 10.1142/9789811250477_0013 (https://www.

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Cancer models are instrumental as a substitute for human studies and to expedite basic, translational, and clinical cancer research. For a given cancer type, a wide selection of models, such as cell lines, patient-derived xenografts, organoids and genetically modified murine models, are often available to researchers. However, how to quantify their congruence to human tumors and to select the most appropriate cancer model is a largely unsolved issue.

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Background: South Africa has deployed community health workers (CHWs) to support individuals to enter and stay in HIV/TB care. Although CHWs routinely encounter patients with mental health (particularly depression) and substance use (SU) conditions that impact their engagement in HIV/TB care, CHWs are rarely trained in how to work with these patients. This contributes to mental health and SU stigma among CHWs, a known barrier to patient engagement in care.

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Introduction: APOE4 is a strong genetic risk factor of Alzheimer's disease and is associated with changes in metabolism. However, the interactive relationship between APOE4 and plasma metabolites on the brain remains largely unknown.

Mehods: In the UK Biobank, we investigated the moderation effects of APOE4 on the relationship between 249 plasma metabolites derived from nuclear magnetic resonance spectroscopy on whole-brain white matter integrity, measured by fractional anisotropy using diffusion magnetic resonance imaging.

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Article Synopsis
  • Elevated blood pressure (BP) is linked to cognitive issues and is found to accelerate brain aging, particularly in women aged 50-69, as shown in a study of over 228,000 individuals from the UK Biobank.
  • The research utilized advanced machine learning to establish a new measure for assessing white matter brain age, revealing that individuals with hypertension have an increased white matter brain age by an average of 0.31 years compared to those without hypertension.
  • A Mendelian randomization analysis indicated a significant positive causal effect of diastolic BP on white matter brain aging, emphasizing the need for targeted BP management strategies in older women to mitigate cognitive decline.
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In the last two decades of Genome-wide association studies (GWAS), nicotine-dependence-related genetic loci (e.g., nicotinic acetylcholine receptor - nAChR subunit genes) are among the most replicable genetic findings.

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Elevated arterial blood pressure (BP) is a common risk factor for cerebrovascular and cardiovascular diseases, but no causal relationship has been established between BP and cerebral white matter (WM) integrity. In this study, we performed a two-sample Mendelian randomization (MR) analysis with individual-level data by defining two nonoverlapping sets of European ancestry individuals (genetics-exposure set: N = 203,111; mean age = 56.71 years, genetics-outcome set: N = 16,156; mean age = 54.

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