4.6 Article

Small Dense Low-Density Lipoprotein Cholesterol Is the Most Atherogenic Lipoprotein Parameter in the Prospective Framingham Offspring Study

Journal

Publisher

WILEY
DOI: 10.1161/JAHA.120.019140

Keywords

atherosclerotic cardiovascular disease; pooled cohort equations; small dense low‐ density lipoprotein cholesterol

Funding

  1. Japan Heart Foundation/Bayer Yakuhin Research Grant Abroad Program, Tokyo, Japan
  2. Denka Corporation, Niigata, Japan
  3. Dyslipidemia Foundation of Boston, MA
  4. Denka Corporation to the Dyslipidemia Foundation
  5. National Institutes of Health (NIH) grant National Heart, Lung, and Blood Institute [N01-HC 25195, HHSN268201500001I]
  6. United States Department of Agriculture-Agricultural Research Service Specific [58-1950-0-014, 58-1950-4-003]
  7. NIH

Ask authors/readers for more resources

This study showed that small dense LDL-C, direct LDL-C, and lipoprotein(a) are significantly associated with ASCVD risk, with small dense LDL being the most atherogenic lipoprotein parameter.
Background Elevated plasma levels of direct low-density lipoprotein cholesterol (LDL-C), small dense LDL-C (sdLDL-C), low-density lipoprotein (LDL) triglycerides, triglycerides, triglyceride-rich lipoprotein cholesterol, remnant lipoprotein particle cholesterol, and lipoprotein(a) have all been associated with incident atherosclerotic cardiovascular disease (ASCVD). Our goal was to assess which parameters were most strongly associated with ASCVD risk. Methods and Results Plasma total cholesterol, triglycerides, high-density lipoprotein cholesterol, direct LDL-C, sdLDL-C, LDL triglycerides, remnant lipoprotein particle cholesterol, triglyceride-rich lipoprotein cholesterol, and lipoprotein(a) were measured using standardized automated analysis (coefficients of variation, <5.0%) in samples from 3094 fasting subjects free of ASCVD. Of these subjects, 20.2% developed ASCVD over 16 years. On univariate analysis, all ASCVD risk factors were significantly associated with incident ASCVD, as well as the following specialized lipoprotein parameters: sdLDL-C, LDL triglycerides, triglycerides, triglyceride-rich lipoprotein cholesterol, remnant lipoprotein particle cholesterol, and direct LDL-C. Only sdLDL-C, direct LDL-C, and lipoprotein(a) were significant on multivariate analysis and net reclassification after adjustment for standard risk factors (age, sex, hypertension, diabetes mellitus, smoking, total cholesterol, and high-density lipoprotein cholesterol). Using the pooled cohort equation, many specialized lipoprotein parameters individually added significant information, but no parameter added significant information once sdLDL-C (hazard ratio, 1.42; P<0.0001) was in the model. These results for sdLDL-C were confirmed by adjusted discordance analysis versus calculated non-high-density lipoprotein cholesterol, in contrast to LDL triglycerides. Conclusions sdLDL-C, direct LDL-C, and lipoprotein(a) all contributed significantly to ASCVD risk on multivariate analysis, but no parameter added significant risk information to the pooled cohort equation once sdLDL-C was in the model. Our data indicate that small dense LDL is the most atherogenic lipoprotein parameter.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Biochemistry & Molecular Biology

ANNORE: genetic fine-mapping with functional annotation

Virginia Fisher, Paola Sebastiani, L. Adrienne Cupples, Ching-Ti Liu

Summary: AnnoRE utilizes GWAS summary statistics, local genotype correlation structure, and functional annotation to prioritize the most plausible causal SNPs in trait-associated loci. This method improves upon previous fine-mapping approaches by allowing for differential shrinkage via random effects in a multiple regression model, avoiding assumptions on the number of causal SNPs per locus.

HUMAN MOLECULAR GENETICS (2022)

Article Mathematical & Computational Biology

Use of likelihood estimates for variances for the design and evaluation of multiregional clinical trials with heterogeneous variances

Yuh-Jenn Wu, Yu-Chieh Cheng, Chieh Chiang, Li-Hsueh Cheng, Ching-Ti Liu, Chin-Fu Hsiao

Summary: Globalized drug development studies, such as multiregional clinical trials (MRCTs), play a significant role in expediting drug development and supporting drug registration in different regions. However, the heterogeneity in variability across regions presents a challenge in MRCTs, and it is essential to consider this heterogeneous variability in the design and evaluation of such trials for ensuring consistency in treatment effects.

STATISTICS IN MEDICINE (2022)

Article Infectious Diseases

Dynamics of anti-Spike IgG antibody level after the second BNT162b2 COVID-19 vaccination in health care workers

Hiroaki Ikezaki, Hideyuki Nomura, Nobuyuki Shimono

Summary: This study evaluated the anti-spike IgG levels in Japanese healthcare workers six months after receiving the BNT162b2 vaccine. The results showed that older individuals and daily alcohol drinkers had substantially lower levels of anti-spike IgG, suggesting the need for an additional vaccine dose for these at-risk categories.

JOURNAL OF INFECTION AND CHEMOTHERAPY (2022)

Article Infectious Diseases

A case of severe COVID-19 with pulmonary thromboembolism related to heparin-induced thrombocytopenia during prophylactic anticoagulation therapy

Kosaku Sasaki, Masayuki Murata, Keiji Nakamura, Yuji Matsumoto, Yuko Nakashima, Sho Yamasaki, Azusa Ota, Satoshi Hiramine, Koji Takayama, Hiroaki Ikezaki, Kazuhiro Toyoda, Eiichi Ogawa, Nobuyuki Shimono

Summary: This study reports a case of a COVID-19 patient who developed heparin-induced thrombocytopenia (HIT), a possible complication of anticoagulant therapy with heparin, along with pulmonary artery thrombus. The patient's respiratory failure improved after switching to the direct oral anticoagulant apixaban.

JOURNAL OF INFECTION AND CHEMOTHERAPY (2022)

Article Endocrinology & Metabolism

Accumulation in Visceral Adipose Tissue Over 6 Years Is Associated With Lower Paraspinal Muscle Density

Ching-Ti Liu, Timothy Tsai, Brett T. Allaire, Mary L. Bouxsein, Marian T. Hannan, Thomas G. Travison, Douglas P. Kiel

Summary: This study examines the association between changes in visceral adipose tissue (VAT) over 6 years and paraspinal muscle density, finding that greater accumulation of VAT is associated with lower muscle density.

JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM (2023)

Article Public, Environmental & Occupational Health

BMI and cardiometabolic traits in Japanese: a Mendelian randomization study

Mako Nagayoshi, Asahi Hishida, Tomonori Shimizu, Yasufumi Kato, Yoko Kubo, Rieko Okada, Takashi Tamura, Jun Otonari, Hiroaki Ikezaki, Megumi Hara, Yuichiro Nishida, Isao Oze, Yuriko N. Koyanagi, Yohko Nakamura, Miho Kusakabe, Rie Ibusuki, Keiichi Shibuya, Sadao Suzuki, Takeshi Nishiyama, Teruhide Koyama, Etsuko Ozaki, Kiyonori Kuriki, Naoyuki Takashima, Yasuyuki Nakamura, Sakurako Katsuura-Kamanos, Kokichi Arisawa, Masahiro Nakatochi, Yukihide Momozawa, Kenji Takeuchi, Kenji Wakai, J-MICC Study group

Summary: This study found that higher BMI in the Japanese population is causally associated with various cardiometabolic traits including high blood pressure, triglycerides, uric acid, low high-density-lipoprotein cholesterol, and eGFR. However, there was no significant association between genetic risk scores for BMI and individual-level cardiometabolic traits.

JOURNAL OF EPIDEMIOLOGY (2023)

Article Cardiac & Cardiovascular Systems

Genetic Effect on Body Mass Index and Cardiovascular Disease Across Generations

Chloe Sarnowski, Matthew P. Conomos, Ramachandran S. Vasan, James B. Meigs, Josee Dupuis, Ching-Ti Liu, Aaron Leong

Summary: The effects of genetic burden on obesity risk and cardiovascular disease differ based on birth year, with individuals born after 1960 being more strongly affected. This suggests that the impact of genetics on obesity and cardiovascular risks may be amplified in the increasingly obesogenic environment.

CIRCULATION-GENOMIC AND PRECISION MEDICINE (2023)

Article Mathematical & Computational Biology

Instrumental variable model average with applications in Mendelian randomization

Loraine Liping Seng, Ching-Ti Liu, Jingli Wang, Jialiang Li

Summary: Mendelian randomization is a technique that uses genetic variants to examine the causal effect of a modifiable exposure on a trait. A model average estimator is proposed to overcome the difficulty of high-dimensionality, which involves using different subsets of instruments to predict the exposure and weighting the submodels' predictions using penalization. The estimator's practical performance is examined in numerical studies and applied to a real genetic dataset investigating the relationship between stature and blood pressure.

STATISTICS IN MEDICINE (2023)

Article Mathematical & Computational Biology

Identifying important gene signatures of BMI using network structure-aided nonparametric quantile regression

Peitao Wu, Josee Dupuis, Ching-Ti Liu

Summary: We propose a nonparametric additive quantile regression method with network regularization to incorporate known network information, aiming to identify genomic risk factors of higher BMI.

STATISTICS IN MEDICINE (2023)

Article Cell Biology

S1P1 Threonine 236 Phosphorylation Mediates the Invasiveness of Triple-Negative Breast Cancer and Sensitivity to FTY720

Fabrice J. F. Laroche, Sheng Li, Ning Shen, Soo Kyung Hwang, Gina Nguyen, Wenling Yu, Chen Khuan Wong, Ryan J. J. Quinton, Jason N. N. Berman, Ching-Ti Liu, Anurag Singh, Neil J. J. Ganem, Sam Thiagalingam, Hui Feng

Summary: Hyperactive sphingosine 1-phosphate (S1P) signaling is associated with poor prognosis of triple-negative breast cancer (TNBC). The phosphorylation of S1P receptor 1 (S1P1) at threonine 236 (T236) plays a critical role in TNBC dissemination and invasion. Inhibiting the phosphorylation of S1P1 T236 using AKT inhibitors or an S1P1 functional antagonist suppresses TNBC cell migration and tumor invasion.

CELLS (2023)

Article Medical Laboratory Technology

Relationship between the cholesterol and triglyceride content of lipoprotein subclasses and carotid intima-media thickness: A cross-sectional population-based study

Hiroaki Ikezaki, Norihiro Furusyo, Masumi Ai, Mitsuyo Okazaki, Takuji Kohzuma, Jun Hayashi, Nobuyuki Shimono, Ernst J. Schaefer

Summary: This study evaluated the association between lipoprotein subclasses and maximum cIMT levels, finding that elevated LDL-2 and -3 cholesterol were related to higher cIMT levels, suggesting the importance of smaller LDL particle cholesterol values in atherosclerosis prevention.

CLINICA CHIMICA ACTA (2023)

Article Multidisciplinary Sciences

Impact of peripheral mitochondrial DNA level on immune response after COVID-19 vaccination

Hiroaki Ikezaki, Hideyuki Nomura, Nobuyuki Shimono

Summary: The efficacy of COVID-19 vaccination in the elderly is hindered by immunosenescence. This study found a positive correlation between mitochondrial DNA levels and vaccine-induced immunity, suggesting that maintaining mitochondrial DNA levels may improve immunosenescence in the elderly.

ISCIENCE (2023)

Article Endocrinology & Metabolism

A Type 1 Diabetes Polygenic Score Is Not Associated With Prevalent Type 2 Diabetes in Large Population Studies

Shylaja Srinivasan, Peitao Wu, Josep M. Mercader, Miriam S. Udler, Bianca C. Porneala, Traci M. Bartz, James S. Floyd, Colleen Sitlani, Xiquing Guo, Jeffrey Haessler, Charles Kooperberg, Jun Liu, Shahzad Ahmad, Cornelia van Duijn, Ching-Ti Liu, Mark O. Goodarzi, Jose C. Florez, James B. Meigs, Jerome Rotter, Stephen S. Rich, Josee Dupuis, Aaron Leong

Summary: In large biobank samples, a common variant polygenic score (PS) for type 1 diabetes (T1D) was not consistently associated with the prevalence of type 2 diabetes (T2D). However, possible heterogeneity in T2D cannot be ruled out and future studies are needed to further investigate subphenotyping.

JOURNAL OF THE ENDOCRINE SOCIETY (2023)

Article Biochemical Research Methods

Information-incorporated sparse convex clustering for disease subtyping

Xiaoyu Zhang, Ching-Ti Liu

Summary: This article introduces an information-incorporated clustering method that utilizes existing information from previous studies to improve disease subtyping and biomarker identification. The method is validated through simulation studies and real data analysis, and demonstrates better performance compared to other clustering methods.

BIOINFORMATICS (2023)

Review Statistics & Probability

Integrative clustering methods for multi-omics data

Xiaoyu Zhang, Zhenwei Zhou, Hanfei Xu, Ching-Ti Liu

Summary: Integrative multi-omics clustering is an unsupervised method aimed at providing a comprehensive understanding of disease mechanisms and biological processes. Due to statistical and computational challenges, the methods are categorized into three general categories and further classified based on the main statistical strategy used in clustering under each category.

WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS (2022)

No Data Available