Objective

In a sample of older Japanese American women, we aimed to: (1) describe the most commonly consumed soy foods, (2) estimate dietary soy isoflavone intake, (3) describe characteristics associated with dietary soy isoflavone intake, and (4) compare our estimates with previously published estimates in other Japanese samples.

Design

A 14-item soy food-frequency questionnaire was administered to older Japanese American women and responses were converted to quantitative estimates of soy isoflavones (genistein plus daidzein). Multiple regression was used to examine characteristics associated with dietary soy isoflavone intake, including self-reported lifestyle and cultural factors and dietary intake of various foods ascertained from a semi-quantitative food-frequency questionnaire. To compare our estimates with other samples, a review of the literature was conducted.

Setting/subjects

Data are from 274 women aged 65+ years, recruited from a longitudinal cohort study of Japanese Americans in King County, Washington State.

Results

The soy foods most commonly consumed were tofu (soybean curd), miso (fermented soybean paste) and aburaage (fried thin soybean curd). The mean intake of dietary soy isoflavones was 10.2 (standard deviation (SD), 12.4) mg day(-1), approximately a quarter to a half that of previously published estimates in Japanese samples. Dietary soy isoflavone intake was positively associated with speaking Japanese, the consumption of traditional Japanese dishes (kamaboko, manju and mochi), low-fat/non-fat milk and yellow/red vegetables, vitamin E supplement use, and walking several blocks each day. Dietary soy isoflavone intake was negatively associated with the consumption of butter.

Conclusions

The estimated dietary soy isoflavone intake in Japanese American women living in King County, Washington State was about a quarter to a half that of women living in Japan. Dietary soy isoflavone intake was associated with speaking Japanese and healthy lifestyle and dietary habits.

Background

Women of Mexican descent are disproportionally affected by obesity, systemic inflammation, and insulin resistance (IR). Available approaches used to give scores to dietary patterns relative to dietary guidelines may not effectively capture traditional diets of Mexicans, who comprise the largest immigrant group in the United States.

Objectives

We characterized an a priori traditional Mexican diet (MexD) score high in corn tortillas, beans, soups, Mexican mixed dishes (e.g., tamales), fruits, vegetables, full-fat milk, and Mexican cheeses and low in refined grains and added sugars and evaluated the association of the MexD score with systemic inflammation and IR in 493 postmenopausal participants in the Women's Health Initiative (WHI) who are of Mexican ethnic descent.

Methods

The MexD score was developed from the baseline (1993-1998) WHI food frequency questionnaire, which included Hispanic foods and was available in Spanish. Body mass index (BMI) was computed from baseline measured weight and height, and ethnicity was self-reported. Outcome variables were high sensitivity C-reactive protein (hsCRP), glucose, insulin, homeostasis model assessment of insulin resistance (HOMA-IR), and triglyceride concentrations measured at follow-up (2012-2013). Multivariable linear and logistic regression models were used to test the associations of the MexD score with systemic inflammation and IR.

Results

The mean ± SD MexD score was 5.8 ± 2.1 (12 maximum points) and was positively associated with intakes of carbohydrates, vegetable protein, and dietary fiber and inversely associated with intakes of added sugars and total fat (P < 0.01). Women with high compared with low MexD scores, consistent with a more-traditional Mexican diet, had 23% and 15% lower serum hsCRP (P < 0.05) and insulin concentrations, respectively (P < 0.05). Baseline BMI modified these associations such that lower MexD scores were associated with higher insulin and HOMA-IR in overweight/obese women (P-interaction <0.05).

Conclusion

These findings suggest that greater adherence to a traditional Mexican diet could help reduce the future risk of systemic inflammation and IR in women of Mexican descent.

Background

Women of Mexican descent are disproportionally affected by obesity, systemic inflammation, and insulin resistance (IR). Available approaches used to give scores to dietary patterns relative to dietary guidelines may not effectively capture traditional diets of Mexicans, who comprise the largest immigrant group in the United States.

Objectives

We characterized an a priori traditional Mexican diet (MexD) score high in corn tortillas, beans, soups, Mexican mixed dishes (e.g., tamales), fruits, vegetables, full-fat milk, and Mexican cheeses and low in refined grains and added sugars and evaluated the association of the MexD score with systemic inflammation and IR in 493 postmenopausal participants in the Women's Health Initiative (WHI) who are of Mexican ethnic descent.

Methods

The MexD score was developed from the baseline (1993-1998) WHI food frequency questionnaire, which included Hispanic foods and was available in Spanish. Body mass index (BMI) was computed from baseline measured weight and height, and ethnicity was self-reported. Outcome variables were high sensitivity C-reactive protein (hsCRP), glucose, insulin, homeostasis model assessment of insulin resistance (HOMA-IR), and triglyceride concentrations measured at follow-up (2012-2013). Multivariable linear and logistic regression models were used to test the associations of the MexD score with systemic inflammation and IR.

Results

The mean ± SD MexD score was 5.8 ± 2.1 (12 maximum points) and was positively associated with intakes of carbohydrates, vegetable protein, and dietary fiber and inversely associated with intakes of added sugars and total fat (P < 0.01). Women with high compared with low MexD scores, consistent with a more-traditional Mexican diet, had 23% and 15% lower serum hsCRP (P < 0.05) and insulin concentrations, respectively (P < 0.05). Baseline BMI modified these associations such that lower MexD scores were associated with higher insulin and HOMA-IR in overweight/obese women (P-interaction <0.05).

Conclusion

These findings suggest that greater adherence to a traditional Mexican diet could help reduce the future risk of systemic inflammation and IR in women of Mexican descent.

Background

Metabolic and transcriptomic differences between visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) compartments, particularly in the context of obesity, may play a role in colorectal carcinogenesis. We investigated the differential functions of their metabolic compositions.

Objectives

Biochemical differences between adipose tissues (VAT compared with SAT) in patients with colorectal carcinoma (CRC) were investigated by using mass spectrometry metabolomics and gene expression profiling. Metabolite compositions were compared between VAT, SAT, and serum metabolites. The relation between patients' tumor stage and metabolic profiles was assessed.

Design

Presurgery blood and paired VAT and SAT samples during tumor surgery were obtained from 59 CRC patients (tumor stages I-IV) of the ColoCare cohort. Gas chromatography time-of-flight mass spectrometry and liquid chromatography quadrupole time-of-flight mass spectrometry were used to measure 1065 metabolites in adipose tissue (333 identified compounds) and 1810 metabolites in serum (467 identified compounds). Adipose tissue gene expression was measured by using Illumina's HumanHT-12 Expression BeadChips.

Results

Compared with SAT, VAT displayed elevated markers of inflammatory lipid metabolism, free arachidonic acid, phospholipases (PLA2G10), and prostaglandin synthesis-related enzymes (PTGD/PTGS2S). Plasmalogen concentrations were lower in VAT than in SAT, which was supported by lower gene expression of FAR1, the rate-limiting enzyme for ether-lipid synthesis in VAT. Serum sphingomyelin concentrations were inversely correlated (P = 0.0001) with SAT adipose triglycerides. Logistic regression identified lipids in patients' adipose tissues, which were associated with CRC tumor stage.

Conclusions

As one of the first studies, we comprehensively assessed differences in metabolic, lipidomic, and transcriptomic profiles between paired human VAT and SAT and their association with CRC tumor stage. We identified markers of inflammation in VAT, which supports prior evidence regarding the role of visceral adiposity and cancer.

BACKGROUND & AIMS: We compared fat storage in the abdominal region among individuals from 5 different ethnic-racial groups to determine whether fat storage is associated with disparities observed in metabolic syndrome and other obesity-associated diseases. METHODS: We collected data from 1794 participants in the Multiethnic Cohort Study (60-77 years old; of African, European [white], Japanese, Latino, or Native Hawaiian ancestry) with body mass index values of 17.1-46.2 kg/m2. From May 2013 through April 2016, participants visited the study clinic to undergo body measurements, an interview, and a blood collection. Participants were evaluated by dual-energy x-ray absorptiometry and abdominal magnetic resonance imaging. Among ethnic groups, we compared adiposity of the trunk, intra-abdominal visceral cavity, and liver, adjusting for total fat mass; we evaluated the association of adult weight change with abdominal adiposity; and we examined the prevalence of metabolic syndrome mediated by abdominal adiposity. RESULTS: Relative amounts of trunk, visceral, and liver fat varied significantly with ethnicity-they were highest in Japanese Americans, lowest in African Americans, and intermediate in the other groups. Compared with African Americans, the mean visceral fat area was 45% and 73% greater in Japanese American men and women, respectively, and the mean measurements of liver fat were 61% and 122% greater in Japanese American men and women. The visceral and hepatic adiposity associated with weight gain since participants were 21 years old varied in a similar pattern among ethnic-racial groups. In the mediation analysis, visceral and liver fat jointly accounted for a statistically significant fraction of the difference in metabolic syndrome prevalence, compared with white persons, for African Americans, Japanese Americans, and Native Hawaiian women, independently of total fat mass. CONCLUSIONS: In an analysis of data from the participants in the Multiethnic Cohort Study, we found extensive differences among ethnic-racial groups in the propensity to store fat intra-abdominally. This observation should be considered by clinicians in the prevention and early detection of metabolic disorders.

Background

The prevalence of metabolic syndrome is higher among minority populations, including individuals of Mexican ethnic descent. Whether alignment to healthy dietary patterns is associated with lower risk of metabolic syndrome in this population is largely unknown.

Objective

To prospectively evaluate the associations between a priori diet quality scores and risk of metabolic syndrome and its components among postmenopausal women of Mexican ethnic descent.

Methods

A total of 334 women of Mexican ethnic descent who participated in the Women's Health Initiative (WHI) observational study without metabolic syndrome or diabetes at baseline (1993-1998) were included. Baseline diets were scored with the Alternate Mediterranean Diet (aMED), the Dietary Approaches to Stop Hypertension (DASH), the Healthy Eating Index (HEI-2010), the Mediterranean Diet Score (MDS), and the traditional Mexican Diet (MexD) score. Multivariable linear and logistic regression models were used to test the associations between baseline diet quality and risk of metabolic syndrome and its individual components at follow-up (2012-2013).

Results

Approximately 16% of women met the criteria for metabolic syndrome at follow-up. None of the diet quality indices were associated with risk of metabolic syndrome. However, higher vs lower DASH scores were associated with lower waist circumference (85.2 vs 88.0 cm) and glucose concentrations (90.0 vs 95.1 mg/dL), and higher HDL cholesterol (62.6 vs 59.0 mg/dL), while higher vs lower HEI-2010 scores were associated with lower waist circumference (83.9 vs 88.1 cm), triglycerides (103 vs 117 mg/dL) and glucose concentrations (89.5 vs 94.4 mg/dL), and higher HDL cholesterol levels (63.9 vs 58.5 mg/dL).

Conclusions

Diet quality was not associated with risk of metabolic syndrome in this population. However, the results suggest that alignment to DASH and HEI-2010 recommendations may be beneficial for reducing some individual components of metabolic syndrome among postmenopausal women of Mexican descent.

While conventional nutrition research has yielded biomarkers such as doubly labeled water for energy metabolism and 24-h urinary nitrogen for protein intake, a critical need exists for additional, equally robust biomarkers that allow for objective assessment of specific food intake and dietary exposure. Recent advances in high-throughput MS combined with improved metabolomics techniques and bioinformatic tools provide new opportunities for dietary biomarker development. In September 2018, the NIH organized a 2-d workshop to engage nutrition and omics researchers and explore the potential of multiomics approaches in nutritional biomarker research. The current Perspective summarizes key gaps and challenges identified, as well as the recommendations from the workshop that could serve as a guide for scientists interested in dietary biomarkers research. Topics addressed included study designs for biomarker development, analytical and bioinformatic considerations, and integration of dietary biomarkers with other omics techniques. Several clear needs were identified, including larger controlled feeding studies, testing a variety of foods and dietary patterns across diverse populations, improved reporting standards to support study replication, more chemical standards covering a broader range of food constituents and human metabolites, standardized approaches for biomarker validation, comprehensive and accessible food composition databases, a common ontology for dietary biomarker literature, and methodologic work on statistical procedures for intake biomarker discovery. Multidisciplinary research teams with appropriate expertise are critical to moving forward the field of dietary biomarkers and producing robust, reproducible biomarkers that can be used in public health and clinical research.

The National Institutes of Health (NIH) organized a three-day human microbiome research workshop, August 16-18, 2017, to highlight the accomplishments of the 10-year Human Microbiome Project program, the outcomes of the investments made by the 21 NIH Institutes and Centers which now fund this area, and the technical challenges and knowledge gaps which will need to be addressed in order for this field to advance over the next 10 years. This report summarizes the key points in the talks, round table discussions, and Joint Agency Panel from this workshop.