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Page 1
Host genetics and diet composition interact to modulate gut microbiota and predisposition to metabolic syndrome in spontaneously hypertensive stroke-prone rats.
Singh A, Zapata RC, Pezeshki A, Workentine ML, Chelikani PK. Singh A, et al. FASEB J. 2019 Jun;33(6):6748-6766. doi: 10.1096/fj.201801627RRR. Epub 2019 Mar 1. FASEB J. 2019. PMID: 30821497
Together, we provide evidence that interactions between host genetics and diet modulate gut microbiota and predispose SHRSP rats to develop metabolic syndrome.-Singh, A., Zapata, R. C., Pezeshki, A., Workentine, M. L., Chelikani, P. K. Host genetics and diet composi …
Together, we provide evidence that interactions between host genetics and diet modulate gut microbiota and predispose SHRSP rats to develop …
The first step into phenolic metabolism in the hornwort Anthoceros agrestis: molecular and biochemical characterization of two phenylalanine ammonia-lyase isoforms.
Pezeshki S, Warmbier I, Busch T, Bauerbach E, Szövenyi P, Petersen M. Pezeshki S, et al. Planta. 2022 Jul 7;256(2):33. doi: 10.1007/s00425-022-03944-w. Planta. 2022. PMID: 35796843 Free PMC article.
Both PAL proteins accept L-phenylalanine, L-tyrosine as well as L-histidine as substrates, although the activity is explicitly the highest with L-phenylalanine. K(m) values as well as catalytic efficiencies were determined for phenylalanine (K(m) AaPAL1 39 M, …
Both PAL proteins accept L-phenylalanine, L-tyrosine as well as L-histidine as substrates, although the activity is explicitly the highest w …
Antimicrobial bio-nanocomposite films based on gelatin, tragacanth, and zinc oxide nanoparticles - Microstructural, mechanical, thermo-physical, and barrier properties.
Shahvalizadeh R, Ahmadi R, Davandeh I, Pezeshki A, Seyed Moslemi SA, Karimi S, Rahimi M, Hamishehkar H, Mohammadi M. Shahvalizadeh R, et al. Food Chem. 2021 Aug 30;354:129492. doi: 10.1016/j.foodchem.2021.129492. Epub 2021 Mar 8. Food Chem. 2021. PMID: 33756322
DSC showed a significant increase in melting point temperature (T(m)) from ~ 90 to ~ 93-101 C after adding 1-5% ZnO-NPs. Ultimate tensile strength (UTS) was remarkably increased to 31.21, 34.57, and 35.06 MPa, as well as Young's Modulus to 287.44, 335.47, and 367.04 MPa af …
DSC showed a significant increase in melting point temperature (T(m)) from ~ 90 to ~ 93-101 C after adding 1-5% ZnO-NPs. Ultimate ten …
Intraurban Variation of Fine Particle Elemental Concentrations in New York City.
Ito K, Johnson S, Kheirbek I, Clougherty J, Pezeshki G, Ross Z, Eisl H, Matte TD. Ito K, et al. Environ Sci Technol. 2016 Jul 19;50(14):7517-26. doi: 10.1021/acs.est.6b00599. Epub 2016 Jul 8. Environ Sci Technol. 2016. PMID: 27331241
Spatial variation of each element was modeled in LUR including six major emission indicators: boilers burning residual oil; traffic density; industrial structures; construction/demolition (these four indicators in buffers of 50 to 1000 m), commercial cooking based on a dis …
Spatial variation of each element was modeled in LUR including six major emission indicators: boilers burning residual oil; traffic density; …
Spatial variability in levels of benzene, formaldehyde, and total benzene, toluene, ethylbenzene and xylenes in New York City: a land-use regression study.
Kheirbek I, Johnson S, Ross Z, Pezeshki G, Ito K, Eisl H, Matte T. Kheirbek I, et al. Environ Health. 2012 Jul 31;11:51. doi: 10.1186/1476-069X-11-51. Environ Health. 2012. PMID: 22849853 Free PMC article.
RESULTS: Total BTEX levels exhibited the most spatial variability, followed by benzene and formaldehyde (coefficient of variation of temporally adjusted measurements of 0.57, 0.35, 0.22, respectively). Total roadway length within 100 m, traffic signal density within 400 …
RESULTS: Total BTEX levels exhibited the most spatial variability, followed by benzene and formaldehyde (coefficient of variation of tempora …
17 results