Summary of Study ST004248
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR002678. The data can be accessed directly via it's Project DOI: 10.21228/M8GZ65 This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
| Study ID | ST004248 |
| Study Title | A multi-omics exploration of biological responses upon high carotenoid intake |
| Study Summary | Scope Despite decades of research, aspects of the bioactive properties of carotenoids in vivo remain confounded by our limited understanding of their metabolic fates. Unbiased, systems-level approaches can help capture global metabolic shifts associated with carotenoid-rich diets. Here, we present an exploratory multi-omics integration–combining carotenoid/apocarotenoid concentrations, untargeted lipidomics, and transcriptomics–to elucidate the biological effects of tomato juices differing in b-carotene and lycopene content. Methods and results This study leverages blood samples from a previously conducted 4-week controlled parallel arm clinical trial. Thirty-five healthy adults on standardized background diets consumed daily 360 mL high lycopene tomato juice (42.5 mg lycopene/d), high b-carotene tomato juice (30.4 mg b-carotene/d), or a macronutrient-matched control. Plasma (apo)carotenoids and lipid profiles pre- and post-intervention were assessed, along with whole blood transcriptomes sequenced at week 4 only. Pairwise correlations and multiblock sparse-PLS-DA were utilized for multi-omics integration. Gene-set enrichment revealed carotenoid-specific modulation of transcripts related to immune function. Thirteen lipidomic features were significantly altered after b-carotene intake versus 2 upon high lycopene intake. Multi-omics integration resolved treatment groups, visualizing the distinct molecular signatures altered by two high carotenoid diets. This approach revealed subtle biological shifts are largely impacted by b-apo-13-carotenone levels. We document its inverse relationship with retinoic acid receptors and its downstream genes for the first time in humans, consistent with in vitro reports that b-apo-13-carotenone is an antagonist for retinoic acid signaling. Conclusion Multi-omics integration uncovers testable, hypothesis-generating insights about carotenoid metabolism and how metabolites may modulate molecular signaling pathways in humans. |
| Institute | Ohio State University |
| Department | Food Science & Technology |
| Laboratory | Cooperstone Lab |
| Last Name | Sholola |
| First Name | Maria |
| Address | 2255 Kenny Rd |
| sholola.1@osu.edu | |
| Phone | 17086463488 |
| Submit Date | 2025-09-23 |
| Num Groups | 3 |
| Total Subjects | 35 |
| Num Males | 17 |
| Num Females | 18 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | d, mzML |
| Analysis Type Detail | LC-MS |
| Release Date | 2025-10-22 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
| Project ID: | PR002678 |
| Project DOI: | doi: 10.21228/M8GZ65 |
| Project Title: | A multi-omics exploration of biological responses upon high carotenoid intake |
| Project Summary: | Scope Despite decades of research, aspects of the bioactive properties of carotenoids in vivo remain confounded by our limited understanding of their metabolic fates. Unbiased, systems-level approaches can help capture global metabolic shifts associated with carotenoid-rich diets. Here, we present an exploratory multi-omics integration–combining carotenoid/apocarotenoid concentrations, untargeted lipidomics, and transcriptomics–to elucidate the biological effects of tomato juices differing in b-carotene and lycopene content. Methods and results This study leverages blood samples from a previously conducted 4-week controlled parallel arm clinical trial. Thirty-five healthy adults on standardized background diets consumed daily 360 mL high lycopene tomato juice (42.5 mg lycopene/d), high b-carotene tomato juice (30.4 mg b-carotene/d), or a macronutrient-matched control. Plasma (apo)carotenoids and lipid profiles pre- and post-intervention were assessed, along with whole blood transcriptomes sequenced at week 4 only. Pairwise correlations and multiblock sparse-PLS-DA were utilized for multi-omics integration. Gene-set enrichment revealed carotenoid-specific modulation of transcripts related to immune function. Thirteen lipidomic features were significantly altered after b-carotene intake versus 2 upon high lycopene intake. Multi-omics integration resolved treatment groups, visualizing the distinct molecular signatures altered by two high carotenoid diets. This approach revealed subtle biological shifts are largely impacted by b-apo-13-carotenone levels. We document its inverse relationship with retinoic acid receptors and its downstream genes for the first time in humans, consistent with in vitro reports that b-apo-13-carotenone is an antagonist for retinoic acid signaling. Conclusion Multi-omics integration uncovers testable, hypothesis-generating insights about carotenoid metabolism and how metabolites may modulate molecular signaling pathways in humans. |
| Institute: | Ohio State University |
| Department: | Food Science & Technology |
| Laboratory: | Cooperstone Lab |
| Last Name: | Sholola |
| First Name: | Maria |
| Address: | 2255 Kenny Rd |
| Email: | sholola.1@osu.edu |
| Phone: | 7086463488 |
Subject:
| Subject ID: | SU004400 |
| Subject Type: | Human |
| Subject Species: | Homo sapiens |
| Taxonomy ID: | 9606 |
| Age Or Age Range: | 21-75 |
| Gender: | Male and female |
| Human Inclusion Criteria: | Subjects were required to have blood glucose <126 mg/dL and triglycerides <300 mg/dL |
| Human Exclusion Criteria: | Subjects were excluded if any of the following were present: cancer, type 2 diabetes, gastrointestinal surgeries or malabsorptive disorders, metabolic disease, pregnancy or currently lactating, or use of blood thinning medications |
Factors:
Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)
| mb_sample_id | local_sample_id | Sample source | Timepoint |
|---|---|---|---|
| SA496246 | qc8_c18neg_43 | blood plasma | pooled quality control |
| SA496247 | qc1_c18neg_1 | blood plasma | pooled quality control |
| SA496248 | qc1_c18pos_1 | blood plasma | pooled quality control |
| SA496249 | qc2_c18neg_7 | blood plasma | pooled quality control |
| SA496250 | qc2_c18pos_7 | blood plasma | pooled quality control |
| SA496251 | qc3_c18neg_13 | blood plasma | pooled quality control |
| SA496252 | qc3_c18pos_13 | blood plasma | pooled quality control |
| SA496253 | qc4_c18neg_19 | blood plasma | pooled quality control |
| SA496254 | qc4_c18pos_19 | blood plasma | pooled quality control |
| SA496255 | qc5_c18pos_25 | blood plasma | pooled quality control |
| SA496256 | qc6_c18neg_31 | blood plasma | pooled quality control |
| SA496257 | qc6_c18pos_31 | blood plasma | pooled quality control |
| SA496258 | qc7_c18neg_37 | blood plasma | pooled quality control |
| SA496259 | qc7_c18pos_37 | blood plasma | pooled quality control |
| SA496260 | qc5_c18neg_25 | blood plasma | pooled quality control |
| SA496261 | qc8_c18pos_43 | blood plasma | pooled quality control |
| SA496262 | qc12_c18pos_67 | blood plasma | pooled quality control |
| SA496263 | qc9_c18neg_49 | blood plasma | pooled quality control |
| SA496264 | qc15_c18neg_85 | blood plasma | pooled quality control |
| SA496265 | qc14_c18pos_79 | blood plasma | pooled quality control |
| SA496266 | qc14_c18neg_79 | blood plasma | pooled quality control |
| SA496267 | qc13_c18pos_73 | blood plasma | pooled quality control |
| SA496268 | qc13_c18neg_73 | blood plasma | pooled quality control |
| SA496269 | qc15_c18pos_85 | blood plasma | pooled quality control |
| SA496270 | qc12_c18neg_67 | blood plasma | pooled quality control |
| SA496271 | qc11_c18pos_61 | blood plasma | pooled quality control |
| SA496272 | qc11_c18neg_61 | blood plasma | pooled quality control |
| SA496273 | qc10_c18pos_55 | blood plasma | pooled quality control |
| SA496274 | qc10_c18neg_55 | blood plasma | pooled quality control |
| SA496275 | qc9_c18pos_49 | blood plasma | pooled quality control |
| SA496276 | 5114-b3-beta_c18neg_23 | blood plasma | post beta |
| SA496277 | 5132-b3-beta_c18pos_52 | blood plasma | post beta |
| SA496278 | 5134-b3-beta_c18pos_64 | blood plasma | post beta |
| SA496279 | 5136-b3-beta_c18pos_77 | blood plasma | post beta |
| SA496280 | 5107-b3-beta_c18neg_28 | blood plasma | post beta |
| SA496281 | 5112-b3-beta_c18neg_56 | blood plasma | post beta |
| SA496282 | 5113-b3-beta_c18neg_47 | blood plasma | post beta |
| SA496283 | 5126-b3-beta_c18neg_24 | blood plasma | post beta |
| SA496284 | 5120-b3-beta_c18neg_54 | blood plasma | post beta |
| SA496285 | 5121-b3-beta_c18neg_48 | blood plasma | post beta |
| SA496286 | 5126-b3-beta_c18pos_24 | blood plasma | post beta |
| SA496287 | 5131-b3-beta_c18neg_3 | blood plasma | post beta |
| SA496288 | 5132-b3-beta_c18neg_52 | blood plasma | post beta |
| SA496289 | 5134-b3-beta_c18neg_64 | blood plasma | post beta |
| SA496290 | 5136-b3-beta_c18neg_77 | blood plasma | post beta |
| SA496291 | 5131-b3-beta_c18pos_3 | blood plasma | post beta |
| SA496292 | 5109-b3-beta_c18neg_81 | blood plasma | post beta |
| SA496293 | 5120-b3-beta_c18pos_54 | blood plasma | post beta |
| SA496294 | 5121-b3-beta_c18pos_48 | blood plasma | post beta |
| SA496295 | 5112-b3-beta_c18pos_56 | blood plasma | post beta |
| SA496296 | 5107-b3-beta_c18pos_28 | blood plasma | post beta |
| SA496297 | 5113-b3-beta_c18pos_47 | blood plasma | post beta |
| SA496298 | 5109-b3-beta_c18pos_81 | blood plasma | post beta |
| SA496299 | 5114-b3-beta_c18pos_23 | blood plasma | post beta |
| SA496300 | 5133-b3-control_c18neg_15 | blood plasma | post control |
| SA496301 | 5111-b3-control_c18pos_39 | blood plasma | post control |
| SA496302 | 5123-b3-control_c18neg_40 | blood plasma | post control |
| SA496303 | 5116-b3-control_c18pos_20 | blood plasma | post control |
| SA496304 | 5111-b3-control_c18neg_39 | blood plasma | post control |
| SA496305 | 5102-b3-control_c18neg_33 | blood plasma | post control |
| SA496306 | 5101-b3-control_c18neg_66 | blood plasma | post control |
| SA496307 | 5108-b3-control_c18neg_22 | blood plasma | post control |
| SA496308 | 5123-b3-control_c18pos_40 | blood plasma | post control |
| SA496309 | 5119-b3-control_c18pos_58 | blood plasma | post control |
| SA496310 | 5116-b3-control_c18neg_20 | blood plasma | post control |
| SA496311 | 5101-b3-control_c18pos_66 | blood plasma | post control |
| SA496312 | 5119-b3-control_c18neg_58 | blood plasma | post control |
| SA496313 | 5102-b3-control_c18pos_33 | blood plasma | post control |
| SA496314 | 5127-b3-control_c18pos_83 | blood plasma | post control |
| SA496315 | 5124-b3-control_c18neg_68 | blood plasma | post control |
| SA496316 | 5125-b3-control_c18pos_51 | blood plasma | post control |
| SA496317 | 5125-b3-control_c18neg_51 | blood plasma | post control |
| SA496318 | 5127-b3-control_c18neg_83 | blood plasma | post control |
| SA496319 | 5124-b3-control_c18pos_68 | blood plasma | post control |
| SA496320 | 5108-b3-control_c18pos_22 | blood plasma | post control |
| SA496321 | 5133-b3-control_c18pos_15 | blood plasma | post control |
| SA496322 | 5128-b3-lyc_c18neg_60 | blood plasma | post red |
| SA496323 | 5118-b3-lyc_c18neg_9 | blood plasma | post red |
| SA496324 | 5110-b3-lyc_c18neg_84 | blood plasma | post red |
| SA496325 | 5115-b3-lyc_c18neg_70 | blood plasma | post red |
| SA496326 | 5122-b3-lyc_c18pos_75 | blood plasma | post red |
| SA496327 | 5117-b3-lyc_c18neg_2 | blood plasma | post red |
| SA496328 | 5130-b3-lyc_c18neg_50 | blood plasma | post red |
| SA496329 | 5118-b3-lyc_c18pos_9 | blood plasma | post red |
| SA496330 | 5129-b3-lyc_c18neg_16 | blood plasma | post red |
| SA496331 | 5115-b3-lyc_c18pos_70 | blood plasma | post red |
| SA496332 | 5135-b3-lyc_c18neg_18 | blood plasma | post red |
| SA496333 | 5110-b3-lyc_c18pos_84 | blood plasma | post red |
| SA496334 | 5103-b3-lyc_c18pos_63 | blood plasma | post red |
| SA496335 | 5128-b3-lyc_c18pos_60 | blood plasma | post red |
| SA496336 | 5104-b3-lyc_c18pos_32 | blood plasma | post red |
| SA496337 | 5129-b3-lyc_c18pos_16 | blood plasma | post red |
| SA496338 | 5105-b3-lyc_c18pos_21 | blood plasma | post red |
| SA496339 | 5130-b3-lyc_c18pos_50 | blood plasma | post red |
| SA496340 | 5135-b3-lyc_c18pos_18 | blood plasma | post red |
| SA496341 | 5103-b3-lyc_c18neg_63 | blood plasma | post red |
| SA496342 | 5104-b3-lyc_c18neg_32 | blood plasma | post red |
| SA496343 | 5105-b3-lyc_c18neg_21 | blood plasma | post red |
| SA496344 | 5117-b3-lyc_c18pos_2 | blood plasma | post red |
| SA496345 | 5122-b3-lyc_c18neg_75 | blood plasma | post red |
Collection:
| Collection ID: | CO004393 |
| Collection Summary: | This study leveraged blood samples from a previously conducted parallel-arm clinical trial (NCT2550483). |
| Sample Type: | Blood (plasma) |
Treatment:
| Treatment ID: | TR004409 |
| Treatment Summary: | The intervention was a high-lycopene (red) tomato juice or a high-β-carotene (orange) tomato juice, both derived from inbred tomato lines developed through conventional breeding. Thirty-five healthy adults on standardized background diets consumed daily 360 mL high lycopene tomato juice (42.5 mg lycopene/d), high b-carotene tomato juice (30.4 mg b-carotene/d), or a macronutrient-matched control. Plasma (apo)carotenoids and lipid profiles pre- and post-intervention were assessed, along with whole blood transcriptomes sequenced at week 4 only. |
Sample Preparation:
| Sampleprep ID: | SP004406 |
| Sampleprep Summary: | In low light, blood plasma samples were thawed in cold water and vortexed to ensure redistribution of lipids prior to extraction. Fifty microliters of thawed plasma samples were transferred into centrifuge tubes, followed by an addition of 250 microliters cold methanol with 10 mM ammonium formate to precipitate proteins. Samples were then homogenized in a GenoGrinder 2010 (SPEX Sample Prep, Metuchen, NJ, USA) for 2 min at 1400 RPM, and 250 microliters of butanol with 10 mM ammonium formate was added to each sample. Extracts were centrifuged at 13,000 x g for 10 min at 4 deg C. Process blanks were prepared with water replacing the plasma and following the same steps while quality control (QC) samples were made by pooling 50 microliters from each plasma sample at the end of extraction. This method was adapted from Huynh and colleagues (doi: 10.1016/j.chembiol.2018.10.008) |
Combined analysis:
| Analysis ID | AN007070 | AN007071 |
|---|---|---|
| Chromatography ID | CH005368 | CH005368 |
| MS ID | MS006767 | MS006768 |
| Analysis type | MS | MS |
| Chromatography type | Reversed phase | Reversed phase |
| Chromatography system | Agilent 1290 Infinity | Agilent 1290 Infinity |
| Column | Agilent ZORBAX Eclipse Plus C18 (100 x 2.1mm,1.8um) | Agilent ZORBAX Eclipse Plus C18 (100 x 2.1mm,1.8um) |
| MS Type | ESI | ESI |
| MS instrument type | QTOF | QTOF |
| MS instrument name | Agilent 6546 QTOF | Agilent 6546 QTOF |
| Ion Mode | POSITIVE | NEGATIVE |
| Units | Peak height | Peak height |
Chromatography:
| Chromatography ID: | CH005368 |
| Instrument Name: | Agilent 1290 Infinity |
| Column Name: | Agilent ZORBAX Eclipse Plus C18 (100 x 2.1mm,1.8um) |
| Column Temperature: | 45 |
| Flow Gradient: | A stepped-linear 16 min gradient was applied at 0.4 mL/min as described: held at 50% B for 2.5 min, quickly increased to 57% B over 0.1 min, increased linearly to 70% B until reaching 9 min, increased quickly to 93% B for 0.1 min and then increased to 96% B for 1.1 min. At 11.1 min, the gradient was held at 100% B until 12 min, decreased to 15% B for 0.2 min, and then held there for 3.8 min. |
| Flow Rate: | 0.4 mL/min |
| Solvent A: | 50% water/30% acetonitrile/20% isopropanol; 10mM ammonium formate |
| Solvent B: | 1% water/9% acetonitrile/90% isopropanol; 10mM ammonium formate |
| Chromatography Type: | Reversed phase |
MS:
| MS ID: | MS006767 |
| Analysis ID: | AN007070 |
| Instrument Name: | Agilent 6546 QTOF |
| Instrument Type: | QTOF |
| MS Type: | ESI |
| MS Comments: | At a scan rate of 3 spectra/sec, full scan data was acquired in the mass range 50-1700 m/z. In positive ionization mode, the following QTOF-MS parameters were used: a gas temperature of 200 degrees C, gas flow at 10 L/min, nebulizer at 50 psig, sheath gas temperature at 300 degrees C, sheath gas flow at 12 L/min, and capillary voltage at 3500 V. |
| Ion Mode: | POSITIVE |
| MS ID: | MS006768 |
| Analysis ID: | AN007071 |
| Instrument Name: | Agilent 6546 QTOF |
| Instrument Type: | QTOF |
| MS Type: | ESI |
| MS Comments: | In negative ionization mode, all of the parameters were the same, except for the capillary voltage set to 3000 V. |
| Ion Mode: | NEGATIVE |