人类细胞色素P450与药物氧化代谢遗传多态性分子机制的研究现状

近年,在表型及基因型上均发现存在药物氧化代谢多态性,特别是对于人类细胞色素Ｐ４５０氧化酶与药氧化代谢遗传多态性的关系进行了深入的研究。有关ＣＹＰ２Ｄ６、ＣＹＰ２Ｃ１９等的突变已大多被鉴定;ＣＹＰ１Ａ１、ＣＹＰ１Ａ２等在表型存在多态性而确切的遗传机制尚不清楚。     

Role of xenobiotic metabolizing gene polymorphisms in breast cancer susceptibility and treatment outcome

Metabolic activation and inactivation of potential genotoxic agents occur by Phase I and Phase II enzymes in multiple interactions. An expanding body of literature demonstrates that ethnic differences in breast cancer incidence may be partly caused by host genetic factors particularly genetic polymorphisms of these carcinogen-metabolizing enzymes. The present case-control study aimed at identification of such low penetrance breast cancer susceptibility genes in 224 Indian women and to investigate the potential effects of their polymorphisms on sporadic breast cancer risk. The main objective of the study was to evaluate the effects of genetic polymorphisms of the xenobiotic metabolizing genes CYP1A1, GSTM1 and GSTT1 on breast cancer risk by PCR-RFLP and DNA sequencing. Our results showed a significant association between CYP1A1 m1, m2 polymorphisms and breast cancer risk; however there was a lack of association between GSTM1 null deletion and breast cancer. The associations of CYP1A1, GSTM1 and GSTT1 genotypes with breast cancer risk were more pronounced among the pre-menopausal patients. Combined genotype analysis revealed the CYP1A1 m2 ValVal-GSTM1 homozygous null deletion genotype combinations to be associated with the highest risk of breast cancer (OR=10.3, 95% CI=1.2-86.1). Correlations with clinicopathological factors and treatment outcome were also analyzed for predicting disease free survival by univariate and multivariate analysis. Significant differences in disease free survival between the wild and polymorphic genotypes were observed only for CYP1A1 m2, GSTT1 genotypes. Our results based on the analysis of functionally relevant polymorphisms in these low penetrance genes may provide a better model that would exhibit additive effects on individual susceptibility to breast cancer. Such genotype analysis resulting in a high-risk profile holds considerable promise for individualizing screening and therapeutic intervention in breast cancer. Hence, the present study may provide strong supportive evidence for genetic interactions in the etiology of breast cancer.     

Involvement of CYP1A1, GST, 72TP53 polymorphisms in the pathogenesis of thyroid nodules

Specific genotypes appear to be related to the development of thyroid disease. We examined whether polymorphisms of the genes CYP1A1, GSTM1, GSTT1, and TP53 at codon 72 are associated with increased risk for thyroid nodules. Blood samples were obtained from 122 thyroid patients with nodules and from 134 healthy control individuals from Goiania city, GO, Brazil. We found no significant association of CYP1A1m1 and CYP1A1m2 genotypes with thyroid diseases (P > 0.05). The null genotypes of GSTM1 and GSTT1 genes were predominant in patients with nodules, indicating that individuals that possess these genotypes have a predisposition for thyroid disease. The genotype p53Arg Arg was associated with a low risk for thyroid cancer (OR = 0.15; P < 0.0001), indicating that the arginine allele in homozygosis could have a protective effect against carcinogenesis. On the other hand, the p53ArgPro genotype was significantly associated with malignant neoplastic nodules (OR = 3.65; P = 0.001). Interindividual variation in susceptibility to thyroid diseases could provide new perspectives for early diagnosis, prognosis and treatment, indicating which patients with thyroid nodules will benefit from treatment, depending on specific polymorphic profiles.     

Polymorphisms in insulin-related genes predispose to specific KRAS2 and TP53 mutations in colon cancer

Risk factors for colon cancer may not only influence the overall risk of cancer but also the risk for specific types of mutations. We evaluated the effect of polymorphisms in four insulin-related genes (G972R in IRS1, G1057D in IRS2, a CA repeat in IGFI and an A/C polymorphism at -202 of IGFBP3) on the risk of microsatellite instability and KRAS2 and TP53 mutations in a population-based set of 1788 cases of colon cancer and 1981 controls. The GR/RR IRS1 genotypes were associated with an increased risk of colon cancers with the KRAS2 G12D mutation (OR 2.3, 95% CI 1.5, 3.5 versus controls, OR 1.7, 95% CI 1.1, 2.6 versus KRAS2 wild type), the "no 192" IGFI genotype increased the risk of the KRAS2 G13D mutation (OR 2.3, 95% CI 1.2, 4.2 versus controls, OR 2.1, 95% CI 1.1, 4.0 versus wild type), and the DD IRS2 genotype increased the risk of the G12V KRAS2 mutation (OR 1.8, 95% CI 0.9, 3.5 versus controls, OR 2.0, 95% CI 1.0, 4.0 versus wild type). Polymorphisms in IRS1 and IGF1 were also associated with an approximately two-fold increased risk of specific TP53 mutations relative to controls without cancer. We conclude that polymorphisms in some insulin-related genes are associated with an increased risk of colon cancer with specific KRAS2 and TP53 mutations, implying a link between these genetic changes and specific mutational pathways in carcinogenesis.     

Acetaldehyde-induced mutational pattern in the tumour suppressor gene TP53 analysed by use of a functional assay, the FASAY (functional analysis of separated alleles in yeast)

Chronic alcohol consumption is a major risk factor for upper aero-digestive tract cancers, including cancer of the esophagus. Whereas alcohol as such is not thought to be directly carcinogenic, acetaldehyde, its first metabolite, has been proven genotoxic and mutagenic in the HPRT gene. As mutations in the tumour suppressor gene TP53 are the most common genetic alterations involved in human cancers, especially esophageal tumours, the aim of this work was to establish the mutational pattern induced by acetaldehyde in vitro on the TP53 gene, and to compare this pattern with that found in human alcohol-related tumours. For this purpose, we used a functional assay in yeast, the FASAY (functional analysis of separated alleles in yeast), after in vitro exposure of human normal fibroblasts AG1521 to acetaldehyde. We noted 35 mutations, of which 32 were single-nucleotide substitutions including 2 nonsense and 30 missense mutations. The pattern showed that the main mutations were G>A transitions (n=23, of which 14 in CpG sites), followed by G>T transversions (n=4), A>G transitions (n=2) and A>T transversions (n=2). Other mutations were one-base insertion and two deletions, leading to frameshifts. Eleven mutations (31%) were located in TP53 hot-spots in codons 245, 248, 249 and 273. Finally, we compared this pattern with that found for esophageal cancers in humans. These results support the notion that acetaldehyde plays a role in TP53 mutations in esophageal cancers. The key feature of this approach is that mutagenesis is directly studied in a key gene in human carcinogenesis, allowing direct comparison of mutational patterns with those in human tumours.     

Genetic polymorphisms in human xenobiotica metabolizing enzymes as susceptibility factors in toxic response

Biotransformation plays an important role in the carcinogenic activity and organ specificity of environmental carcinogens. Large interindividual variation in the biotransformation has been reported, and genetic polymorphisms in some xenobiotica metabolizing enzymes can in part explain some of these differences. The concentration of the ultimate carcinogen, that will react with DNA, is determined by the rate of activation and detoxification. Individuals with a decreased rate of detoxification, i.e., lacking the glutathione S-transferase M1 gene, have a slightly higher level of bulky carcinogen-DNA adduct in some tissues, and do also have an increased level of chromosomal aberrations. In addition, the genotype may also influence the type of mutations, e.g., in tumor suppressor gene, transversion being predominant in the GSTM1 null group. People with slow N-acetyltransferase activity do generally have a higher adduct level of aromatic amines in bladder tissues. Genetic polymorphism in either CYP1A1 or glutathione S-transferase is linked to an increased risk of smoking related cancers, while N-acetyltransferase activity is related to cancers in which aromatic amines are the main risk factor. Combination of the high risk genotypes for activating and detoxification enzymes, e.g., CYP1A MspI/GSTM1 null is not only associated with an increased risk of cancer development, but also an increased level of markers of the biological active dose and early markers of effect. Additional studies on the role of genetic variants of xenobiotica metabolizing enzymes and combinations thereof at relevant low levels of exposure are important in order to establish guidance values for toxic compounds.     

Polymorphisms of drug-metabolizing enzymes in healthy nonagenarians and centenarians: difference at GSTT1 locus

Drug metabolizing enzymes are involved in the detoxification of several drugs, environmental substances, and carcinogenic compounds, and their polymorphisms have been associated with risk for a variety of cancer. In this paper, we compared the frequency of polymorphisms in cytochrome P450-1A1 gene (CYP1A1), a phase 1 gene (oxidation, activation), and of two polymorphisms of glutathione S-transferase enzymes (GSTM1, GSTT1), two phase 2 genes (conjugation, detoxification). Two groups were studied and compared, i.e., 94 nonagenarians and centenarians and 418 control subjects of younger age. A significant difference in the proportion of nonagenarians and centenarians homozygotes for a GSTT1 deletion (28%) was observed in comparison to control subjects (19%, P = 0.03). The distribution of the other gene polymorphisms did not differ in the two groups. These findings on phase 2 drug-metabolizing enzyme gene polymorphisms may help in disentangling gene-environmental interactions which can have a role in successful aging and longevity, as well as in cancer incidence in the oldest old.     

TP53 codon 72 and intron 3 polymorphisms and mutational status in gastric cancer: an association with tumor onset and prognosis

Although TP53 alterations have been studied in human tumors, data considering the role of two common TP53 polymorphisms (Pro72Arg in codon 72 and Ins16bp in intron 3) and their associations with TP53 mutations in gastric cancer are very limited. Thus, we analyzed these parameters taking into consideration the clinicopathological data. DNA from 106 gastric tumor samples was available for TP53 Pro72Arg and TP53 Ins16bp polymorphism genotyping by PCR-RFLP and PCR, respectively. The mutational status of the TP53 exons 5-7 was assessed by the single-strand conformational polymorphism test. The TP53 72ArgArg genotype was statistically associated with patients aged ≥65 years (p = 0.039), and the intron 3 A2A2 genotype was correlated with late-stage tumors (III and IV; p = 0.043). Considering both polymorphisms, a negative correlation between the TP53 Pro-A1 haplotype and age <65 years (r = -0.211; p = 0.030) was found. Taking into account the TP53 mutations, the Pro/Pro genotype was positively correlated with the presence of exon 7 mutations (p = 0.049), and a correlation between this genotype and the number of mutations in TP53 was observed (p = 0.019). This study corroborates the understanding of TP53 polymorphisms in gastric carcinogenesis, especially regarding the genetic features in tumor onset and prognosis.     

Polymorphisms associated with the risk of lung cancer in a healthy Mexican Mestizo population: Application of the additive model for cancer

Lung cancer is the leading cause of cancer mortality in Mexico and worldwide. In the past decade, there has been an increase in the number of lung cancer cases in young people, which suggests an important role for genetic background in the etiology of this disease. In this study, we genetically characterized 16 polymorphisms in 12 low penetrance genes (AhR, CYP1A1, CYP2E1, EPHX1, GSTM1, GSTT1, GSTPI, XRCC1, ERCC2, MGMT, CCND1 and TP53) in 382 healthy Mexican Mestizos as the first step in elucidating the genetic structure of this population and identifying high risk individuals. All of the genotypes analyzed were in Hardy-Weinberg equilibrium, but different degrees of linkage were observed for polymorphisms in the CYP1A1 and EPHX1 genes. The genetic variability of this population was distributed in six clusters that were defined based on their genetic characteristics. The use of a polygenic model to assess the additive effect of low penetrance risk alleles identified combinations of risk genotypes that could be useful in predicting a predisposition to lung cancer. Estimation of the level of genetic susceptibility showed that the individual calculated risk value (iCRV) ranged from 1 to 16, with a higher iCRV indicating a greater genetic susceptibility to lung cancer.     

Colon tumor mutations and epigenetic changes associated with genetic polymorphism: insight into disease pathways

Variation in genes associated with serum levels of proteins may be useful for examining specific disease pathways. Using data from a large study of colon cancer, we examine genetic variants in insulin, inflammation, estrogen, metabolizing enzymes, and energy homeostasis genes to explore associations with microsatellite instability (MSI), CpG Island methylator phenotype (CIMP), mutations of p53 in exons 5 through 8, and mutations in codons 12 and 13 of Ki-ras. Insulin-related genes were associated with CIMP-positive and MSI tumors, with the strongest associations among aspirin users. The Fok1 vitamin D receptor (VDR) polymorphism was associated with CIMP-positive/Ki-ras-mutated tumors; the Poly A and CDX2 VDR polymorphisms were associated only with Ki-ras-mutated tumors. NAT2 was associated with CIMP-positive/Ki-ras-mutated tumors but not with MSI tumors. The TCF7L2 rs7903146 polymorphism was associated with p53 mutated tumors. Most associations varied by recent aspirin/NSAID use: IL6 rs1800796 and rs1800795 polymorphisms were associated inversely with tumor mutations in the presence of aspirin/NSAIDs; POMC significantly reduced risk of Ki-ras-mutated tumors when aspirin/NSAIDs were not used; the TCF7L2 rs7903146 was associated with reduced risk of Ki-ras-mutated tumors in the presence of aspirin and increased risk in the absence of aspirin. These data, although exploratory, identify specific tumor subsets that may be associated with specific exposures/polymorphism combinations. The important modifying effects of aspirin/NSAIDs on associations with genetic polymorphisms reinforce the underlying role of inflammation in the etiology of colon cancer.     

Unequal prognostic potentials of p53 gain-of-function mutations in human cancers associate with drug-metabolizing activity

Mutation of p53 is the most common genetic change in human cancer, causing complex effects including not only loss of wild-type function but also gain of novel oncogenic functions (GOF). It is increasingly likely that p53-hotspot mutations may confer different types and magnitudes of GOF, but the evidences are mainly supported by cellular and transgenic animal models. Here we combine large-scale cancer genomic data to characterize the prognostic significance of different p53 mutations in human cancers. Unexpectedly, only mutations on the Arg248 and Arg282 positions displayed significant association with shorter patient survival, but such association was not evident for other hotspot GOF mutations. Gene set enrichment analysis on these mutations revealed higher activity of drug-metabolizing enzymes, including the CYP3A4 cytochrome P450. Ectopic expression of p53 mutant R282W in H1299 and SaOS2 cells significantly upregulated CYP3A4 mRNA and protein levels, and cancer cell lines bearing mortality-associated p53 mutations display higher CYP3A4 expression and resistance to several CYP3A4-metabolized chemotherapeutic drugs. Our results suggest that p53 mutations have unequal GOF activities in human cancers, and future evaluation of p53 as a cancer biomarker should consider which mutation is present in the tumor, rather than having comparison between wild-type and mutant genotypes.     

Computational Screening and Molecular Dynamic Simulation of Breast Cancer Associated Deleterious Non-Synonymous Single Nucleotide Polymorphisms in TP53 Gene

Breast cancer is one of the most common cancers among the women around the world. Several genes are known to be responsible for conferring the susceptibility to breast cancer. Among them, TP53 is one of the major genetic risk factor which is known to be mutated in many of the breast tumor types. TP53 mutations in breast cancer are known to be related to a poor prognosis and chemo resistance. This renders them as a promising molecular target for the treatment of breast cancer. In this study, we present a computational based screening and molecular dynamic simulation of breast cancer associated deleterious non-synonymous single nucleotide polymorphisms in TP53. We have predicted three deleterious coding non-synonymous single nucleotide polymorphisms rs11540654 (R110P), rs17849781 (P278A) and rs28934874 (P151T) in TP53 with a phenotype in breast tumors using computational tools SIFT, Polyphen-2 and MutDB. We have performed molecular dynamics simulations to study the structural and dynamic effects of these TP53 mutations in comparison to the wild-type protein. Results from our simulations revealed a detailed consequence of the mutations on the p53 DNA-binding core domain that may provide insight for therapeutic approaches in breast cancer.     

Polymorphic Variation of CYP1A1 and CYP1B1 Genes in a Haryana Population

Cytochrome P450 (CYP) 1A1 and CYP1B1 are important phase I xenobiotic metabolizing enzymes involved in the metabolism of numbers of toxins, endogenous hormones, and pharmaceutical drugs. Polymorphisms in these phase I genes can alter enzyme activity and are known to be associated with cancer susceptibility related to environmental toxins and hormone exposure. Their genotypes may also display ethnicity-dependent population frequencies. The present study was aimed to determine the frequencies of commonly known functional polymorphisms of CYP1A1 and CYP1B1 genes in a Haryana state population of North India. The allelic frequency of CYP1A1 polymorphism m1 (MspI) was 29.65% and m2 (Ile⁴⁶²Val) was 24.85%. The frequency of CYP1B1 polymorphism m1 (Val⁴³²Leu) was 45.85% and m2 (Asn⁴⁵³Ser) was 16.2%. We observed inter- and intra-ethnic variation in the frequency distribution of these polymorphisms. Analysis of polymorphisms in these genes might help in predicting the risk of cancer. Our results emphasize the need for more such studies in high-risk populations.     

Sex-specific effect of the <Emphasis Type="Italic">TP53</Emphasis> PIN3 polymorphism on cancer risk in a cohort study of <Emphasis Type="Italic">TP53</Emphasis> germline mutation carriers

Germline mutations in the tumor suppressor gene TP53 occur in the majority of families with Li-Fraumeni syndrome, who are at an increased risk for a wide spectrum of early onset cancers. Several genetic polymorphisms in TP53 modify its effect on cancer risk. While some studies indicate that the TP53 PIN3 deletion allele (D) accelerate tumor onset in carriers with TP53 germline mutations, other studies have shown that the TP53 PIN3 insertion allele (I) confers a significantly higher risk of developing cancer than D allele. To further determine the effects of the TP53 PIN3 polymorphism on cancer development among TP53 germline mutations and to evaluate if those are differenence between male and female carriers, we studied a total of 152 germline mutation carriers with available DNA samples that can be used for genotyping. Our results indicate that the TP53 PIN3 polymorphism has a sex-specific effect on the risk of cancer in TP53 mutation carriers, conferring cancer risk in men (P = 0.0041) but not women with DI or II genotypes.     

Characterization of CYP1A2, CYP2C19, CYP3A4 and CYP3A5 polymorphisms in South Brazilians

Potential causes of variability in drug response include intrinsic factors such as ethnicity and genetic differences in the expression of enzymes that metabolize drugs, such as those from Cytochrome P450 (CYPs) superfamily. Pharmacogenetic studies search for genetic differences between populations since relevant alleles occur with varying frequencies among different ethnic populations. The Brazilian population is one of the most heterogeneous in the world, resulting from multiethnic admixture of Amerindians, Europeans, and Africans across centuries. Since the knowledge of CYP allele frequency distributions is relevant to pharmacogenetic strategies and these data are scarce in the Brazilian population, this study aimed to describe genotype and allele distributions of 15 single nucleotide polymorphisms (SNPs) at CYP 1A2, 2C19, 3A4, and 3A5 genes in African and European descents from South Brazil. A sample of 179 healthy individuals of European and African ancestry was genotyped by the MassARRAY SNP genotyping system. CYP3A5*3, CYP1A2*1F, CYP3A4*1B, and CYP2C19*2 were the most frequent alleles found in our sample. Significant differences in genotype and allelic distribution between African and European descents were observed for CYP3A4 and CYP3A5 genes. CYP3A4*1B was observed in higher frequency in African descents (0.379) than in European descents (0.098), and European descents showed higher frequency of CYP3A5*3 (0.810) than African descents (0.523). Our results indicate that only a few polymorphisms would have impact in pharmacogenetic testing in South Brazilians. Further studies with larger sample sizes are required also among other Brazilian regions.     

Glucoraphanin, the bioprecursor of the widely extolled chemopreventive agent sulforaphane found in broccoli, induces phase-I xenobiotic metabolizing enzymes and increases free radical generation in rat liver

Epidemiological and animal studies linking high fruit and vegetable consumption to lower cancer risk have strengthened the belief that long-term administration of isolated naturally occurring dietary constituents could reduce the risk of cancer. In recent years, metabolites derived from phytoalexins, such as glucoraphanin found in broccoli and other cruciferous vegetables (Brassicaceae), have gained much attention as potential cancer chemopreventive agents. The protective effect of these micronutrients is assumed to be due to the inhibition of Phase-I carcinogen-bioactivating enzymes and/or induction of Phase-II detoxifying enzymes, an assumption that still remains uncertain. The protective effect of glucoraphanin is thought to be due to sulforaphane, an isothiocyanate metabolite produced from glucoraphanin by myrosinase. Here we show, in rat liver, that while glucoraphanin slightly induces Phase-II enzymes, it powerfully boosts Phase-I enzymes, including activators of polycyclic aromatic hydrocarbons (PAHs), nitrosamines and olefins. Induction of the cytochrome P450 (CYP) isoforms CYP1A1/2, CYP3A1/2 and CYP2E1 was confirmed by Western immunoblotting. CYP induction was paralleled by an increase in the corresponding mRNA levels. Concomitant with this Phase-I induction, we also found that glucoraphanin generated large amount of various reactive radical species, as determined by electron paramagnetic resonance (EPR) spectrometry coupled to a radical-probe technique. This suggests that long-term uncontrolled administration of glucoraphanin could actually pose a potential health hazard.     

Gaining insights into relevance across cancers based on mutation features of TP53 gene

The tumor suppressor gene TP53, one of the most frequently mutated genes, is recognized as the guardian of genome and can provide a significant barrier to neoplastic transformation and tumor progression. Traditional theory believes that TP53 mutations are equal among cancer types. However, to date, no study has explored the TP53 mutation profile from a holistic and systematic standpoint to discovery its relevance and feature with cancers. Mutation signature, an unbiased approach to identify the mutational processes, can be a potent indicator for exploring mutation-driven tumor occurrence and progression. In this research, several features such as hotspots, mutability and mutation signature of somatic TP53 mutations derived from 18 types of cancer tissues from cBioPortal were analyzed and manifested the organizational preference among cancers. Mutation signatures found in almost all cancer types were Signature 6 related to mismatch repair deficiency, and Signature 1 that reflects the natural decomposition of 5-methylcytosine into thymine associated with aging. Meanwhile, several signatures of TP53 mutations displayed tissue-selective. Mutations enriched in bladder, skin, lung cancer were associated with signatures of APOBEC activity (Signature 2 and 13), alkylating agents (Signature 11), and tobacco smoke (Signature 4), respectively. Moreover, Signature 4 and 29 associated with tobacco smoking or chewing found in lung, sarcoma, esophageal, and head and neck cancer may be related to their smoking history. In addition, several digestive cancers, including colorectal, stomach, pancreatic and esophageal cancers, showed the high correlation in context and mutation signature profiles. Our study suggests that the tissue-selective activity of mutational processes would reflect the tissue-specific enrichment of TP53 mutations and provides a new perspective to understand the relevance of diverse diseases based on the spectrum of TP53 mutations.     

Quantitative shot-gun proteomics and MS-based activity assay for revealing gender differences in enzyme contents for rat liver microsome

Liver microsomes are subcellular fractions that contain many metabolizing enzymes for drugs and endogeneous compounds. Some of these enzymes are regulated by sex hormonal control and exhibit sex-dependent expression pattern and metabolizing speed. Studying these enzymes, however, are complicated by the presence of isoforms such as cytochrome P450 (CYP450), which families share more than 50% amino acid identities. In this study, we applied quantitative shot-gun proteomics approach coupled with stable-isotope dimethyl labeling, two-dimensional reversed-phase peptide separation and tandem mass spectrometry (MS) to explore the gender-dependent expression of rat liver microsomal proteins. A total of 391 proteins were identified and quantified by this approach, and 56% of quantified proteins were enzymes. Although shot-gun approach is rarely used for identifying protein isoforms, we identified 53 isoforms by at least one unique peptide including 21 isoforms of CYP450s. Moreover, by quantitative and statistics assessment, we were able to classify them into 28 male dominant enzymes including CYP2C12 CYP2C11, CYP2C13, CYP2B3, CYP2C11, CYP2C70 and CYP3A2 which are known to be male specific, 21 female dominant enzymes including CYP2A1, CYP2C7, CYP2C12, CYP2D26, alcohol dehydrogenase 1, carboxylesterase 3, glutathione S-transferase, liver carboxylesterase 4, UDP-glucuronosyltransferase 2B1, and glyceraldehyde-3-phosphate dehydrogenase which are known to be female specific; and 125 sex-independent enzymes. However, most of the sex specificities revealed from this study, such as the male specificity of CYP2D1, were novel and not yet reported. We then conducted a mass spectrometry-multiple reaction mode (MS-MRM) based enzyme activity method to determine the catalyzing rate of CYP2D1 in male and female liver microsomes using carteolol as its specific substrate. The reaction rate catalyzed by CYP2D1 in female rats was determined to differ significantly with the rate in male rats. Moreover, the ratio (female/male) of reaction rate (0.68) was found to correlate with their relative protein abundance (0.72). This study revealed novel sex dependences of many rat liver enzymes and also demonstrated a unique MS-based analytical platform that could identify novel iso-enzymes and further quantify their abundance and enzyme activity.