Abhishek Jain, PhD, ME, BEngSci
Associate Research Scientist in Epidemiology (Environmental Health)Cards
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- This was the first comprehensive study to optimize normalization approaches for accurate quantification of metabolites in DBS. The strength of this approach compared to other DBS metabolomics studies is the comparative analysis of five different normalization methods using multiple criteria. The criteria used for assessment include: the capability of a method to reduce intragroup variability, effect of the method on differential metabolic analysis, and the influence of the method on classification accuracy. This study constitutes an important advancement over previous studies, which have used only a single method and single criteria to normalize the DBS metabolome. Additionally, we introduced a novel normalization strategy and showed that SG can serve as a predictor of Hb. This relationship was also validated in an independent group
- Comprehensive analysis of the sulfated metabolome as a signature for microbiome-host co-metabolism Discovery of 11 new metabolite markers for raspberries, soy milk, and flaxseeds. Structure validation of 130 sulfated metabolites (authentic standards, MS/MS fragmentation). 48 significantly upregulated sulfated metabolites upon dietary intervention
- Targeted analysis of individual sulfated metabolome changes based on 235 compounds 1.The recombinant overexpressed arylsulfatase ASPC as a new tool for investigation of host-microbiota co-metabolism. 2. ASPC has similar substrate promiscuity and versatility than the commonly used arylsulfatase from Helix pomatia. 3. Arylsulfatases ASPC and extracted arylsulfatase from H. pomatia equally hydrolyzed more than 100 sulfated compounds. 4. 27 Metabolites of microbial origin were detected. 5. Hydrolysis of 21 metabolites solely by ASPC enhances the sulfated metabolome coverage.
- GC-MS metabolomics analysis of Ni(II) stressed C. crescentus showed an increased level of nine important metabolites including TCA cycle intermediates and amino acids. This indicates that changes in central carbon metabolism and nitrogen metabolism are linked with the disruption of cell division process. Addition of malic acid, citric acid, alanine, proline, and glutamine to 0.015 mM Ni(II)-treated C. crescentus restored its growth. Thus, the present work shows a protective effect of these organic acids and amino acids on Ni(II) toxicity. Metabolic stimulation through the PutA/GlnA pathway, accelerated degradation of CtrA, and Ni-chelation by organic acids or amino acids are some of the possible mechanisms suggested to be involved in enhancing C. crescentus’s tolerance. Our results shed light on the mechanism of increased Ni(II) tolerance in C. crescentus which may be useful in bioremediation strategies and synthetic biology applications such as the development of whole cell biosensor.
- The interaction between diet and gut microbiota, and ultimately their link to health, has turned into the concentration of huge research. However, this relationship still needs to be fully characterized, particularly in case of the Asian population. We compared the fecal bacterial diversity and composition of healthy Indian and Chinese adults, ages 22–35 years, using next-generation sequencing analysis on IlluminaHiSeq 2500 platform. Our analysis revealed unique community structure, dominant Firmicutes, Actinobacteria and underrepresented Bacteroides, of Indian and Chinese gut bacteria. This community structure closely matched with the gut bacterial composition of the Russian population. Therefore, we hypothesized that enrichment of these bacterial clades is supported by high consumption of starch-rich diet such as rice, potato, refined grains. The dominance of genus Bifidobacterium due to carbohydrate-rich diet is another notable feature of this study. Moreover, Indian gut bacteria are significantly represented by Bacteroidetes and Prevotella, in contrast to Chinese, which could be associated with whole grains and plant based vegetarian diet of Indians. The gut bacterial population of Indian adults were as diverse as Chinese adults but a significant difference was noticed in gut bacterial composition and relative abundance between two populations.
A Hierarchical clustering analysis of metabolites significantly differentiating in at least one pairwise comparison between colorectum subsites are shown across seven colorectum subsites B Abundances for metabolites significantly differentiating in at least one pairwise comparison between three major regions are shown across the left side colon, right side colon, and rectum in tumorsC Distribution of metabolite abundances showing concentration gradient exist from cecum to rectum in both tumors and normal mucosa. Each subsite is presented in a unique color. Red-Cecum, green-Ascending, blue-Transverse, cyan- Descending, light violet-Sigmoid, yellow-Rectosigmoid and dark violet-Rectum. D Subsite specific unique metabolites markers significantly (p < 0.05) associated with CRC prognosis. Hazard ratio (HR) for each metabolite was calculated by Cox proportional hazard regression analysis between log2 abundances of individual metabolites and 5-year overall survival in each subsite, adjusting for age, sex, chemotherapy and stage. Error bars represent 95% confidence intervals (CIs). The unique survival metabolites for each subsite are color coded differently. Cecum-blue, Ascending-pink, Transverse-green, Descending-yellow, Sigmoid-purple, Rectosigmoid-grey, Rectum-ice blue.
News
- October 10, 2024
Unraveling the Metabolic Landscape of Colorectal Cancer
- April 12, 2024
Yale Cancer Center Faculty and Trainees Present at AACR Annual Meeting
- September 19, 2023
Colon Tumor Location Matters for Metastatic Disease, According to Study
- September 13, 2023
Metabolomic Research Links Diet to Paraben Food Preservatives in Urine, Findings Important for Women Trying to Conceive