Literature DB >> 23284747

8-Oxoguanine DNA glycosylase (OGG1) deficiency increases susceptibility to obesity and metabolic dysfunction.

Harini Sampath1, Vladimir Vartanian, M Rick Rollins, Kunihiko Sakumi, Yusaku Nakabeppu, R Stephen Lloyd.   

Abstract

Oxidative damage to DNA is mainly repaired via base excision repair, a pathway that is catalyzed by DNA glycosylases such as 8-oxoguanine DNA glycosylase (OGG1). While OGG1 has been implicated in maintaining genomic integrity and preventing tumorigenesis, we report a novel role for OGG1 in altering cellular and whole body energy homeostasis. OGG1-deficient (Ogg1(-/-)) mice have increased adiposity and hepatic steatosis following exposure to a high-fat diet (HFD), compared to wild-type (WT) animals. Ogg1(-/-) animals also have higher plasma insulin levels and impaired glucose tolerance upon HFD feeding, relative to WT counterparts. Analysis of energy expenditure revealed that HFD-fed Ogg1(-/-) mice have a higher resting VCO(2) and consequently, an increased respiratory quotient during the resting phase, indicating a preference for carbohydrate metabolism over fat oxidation in these mice. Additionally, microarray and quantitative PCR analyses revealed that key genes of fatty acid oxidation, including carnitine palmitoyl transferase-1, and the integral transcriptional co-activator Pgc-1α were significantly downregulated in Ogg1(-/-) livers. Multiple genes involved in TCA cycle metabolism were also significantly reduced in livers of Ogg1(-/-) mice. Furthermore, hepatic glycogen stores were diminished, and fasting plasma ketones were significantly reduced in Ogg1(-/-) mice. Collectively, these data indicate that OGG1 deficiency alters cellular substrate metabolism, favoring a fat sparing phenotype, that results in increased susceptibility to obesity and related pathologies in Ogg1(-/-) mice.

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Year:  2012        PMID: 23284747      PMCID: PMC3524114          DOI: 10.1371/journal.pone.0051697

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

If left unrepaired, oxidative damage to DNA from exogenous oxidants, as well as endogenous metabolic byproducts, can lead to cellular transformation and ultimately to the development of tumors. Non-bulky oxidative DNA lesions are mainly repaired via the base-excision repair (BER) pathway [1]–[3], which is initiated by DNA glycosylases, such as 8-oxoguanine DNA glycosylase (OGG1), Nei endonuclease VIII-like (NEIL)1, NEIL2, NEIL3, and endonuclease III-like 1 (NTH1). These enzymes recognize and excise specific subsets of lesions, and in some cases, further process the damaged site to a single-strand break via their intrinsic apurinic/apyrimidinic lyase activity [2]–[4]. 7,8-dihydro-8-oxoguanine (8-oxoG) is one of the most commonly formed oxidative lesions in the cell. Since it mispairs with A during replication, 8-oxoG is also a highly mutagenic lesion, producing G:C to T:A transversions. OGG1, a DNA repair glycosylase that localizes to both the nucleus and mitochondria, is the main enzyme responsible for identification and excision of 8-oxoG lesions [5]–[9]. OGG1 is hypothesized to play a role in several disease pathways, including various cancers [4], [10]–[16], neurological diseases such as Parkinson’s [17]–[19] and Alzheimers’ [20]–[24] disease, and aging-related pathologies [25]–[28]. A common link between these pathologies is the presence of elevated levels of oxidative stress. Another disease state that is associated with increased levels of oxidative stress is that of metabolic syndrome, which encompasses several pathologies, including increased body weight and adiposity, fatty liver, elevated triglycerides, and impaired glucose tolerance. While it is generally postulated that oxidative stress leads to progression of disease, the molecular mechanisms that mediate this process are as yet largely unknown. Since oxidative stress can lead to damage of cellular components, including DNA, we hypothesized that the absence of a critical DNA repair protein, such as in the case of OGG1-deficient mice, would lower the cellular tolerance for oxidative stress, such as that induced by consumption of a high-fat diet. We have therefore investigated the role of OGG1 in the development of metabolic disease and report here a novel role for OGG1 in the maintenance of cellular and whole body energy balance.

Experimental Procedures

Animal Studies

The generation of Ogg1 mice backcrossed 21 times to C57BL/6J background has been previously described [15]. At OHSU, the Ogg1 allele was maintained through additional backcrossing to C57BL/6J and subsequent matings between Ogg1 mice. Age-matched male mice were exclusively used throughout this investigation. Six mice of each genotype were assigned to either chow diet or high-fat diet (HFD); this number was deemed to be the minimum required for adequate statistical power for the desired analyses based on our previous studies and similar reports in the literature. The breeding and care of animals are in accordance with the protocols approved by the Animal Care and Use Committee of Oregon Health & Science University, Portland, Oregon (Protocol Number A967). Prior to euthanasia by cervical dislocation, mice were anesthetized by CO2 inhalation. For in vivo procedures, all efforts were made to minimize discomfort and suffering, in accordance with approved animal care protocols.?For the diet studies, 12-week old mice were individually housed and given ad libitum access to either rodent chow or a HFD (Research Diets D12492, New Brunswick, NJ; 60% fat, 20% protein, 20% carbohydrate by calories; 5.24 kcal/g metabolizable energy) for 10 weeks. Food intake and body weights were measured weekly during this period. Body composition was measured by low-resolution NMR (Echo Medical Systems, Houston, TX) prior to and 4 weeks after the start of the feeding study.

Energy Expenditure

Energy expenditure was measured by indirect calorimetry (Oxymax, Columbus Instruments, Columbus, OH) as previously described [29], after 4 weeks of feeding. Briefly, oxygen consumption (VO2) and carbon dioxide production (VCO2) were simultaneously determined in individually housed animals with ad libitum access to chow or HFD and water. Following a 48-hour acclimation period, VO2 and VCO2 were recorded for 24 hours, including a 12-hour dark and 12-hour light phase. Samples were recorded every 2 minutes with a room air reference taken every 12 minutes. Respiratory exchange ratio (RER) was calculated as the molar ratio of VCO2: VO2.

Glucose, Insulin, and Glycogen Measurements

Glucose tolerance was assessed 7 weeks after the start of the study and was carried out as previously described [29]. Briefly, mice were fasted for 4 hours followed by i.p. injection of 10% dextrose at a rate of 1g/kg body weight. Blood was collected at the indicated intervals for assessment of plasma glucose using the glucose color reagent (Cliniqa, San Marcos, CA). Fasting plasma insulin was measured by ELISA (Millipore, St. Charles, MO). Hepatic glycogen was measured by an enzyme coupled spectrophotometric assay, as previously described [29].

Tissue Collection and Pathology

At the end of 10 weeks of feeding, mice were euthanized by CO2 overdose, and tissues were collected and snap frozen in liquid nitrogen for further analyses. For histological studies, liver and adipose tissues were fixed in buffered formalin and embedded in paraffin for sectioning and H&E staining. For transmission electron microscopy analyses, fresh liver sections were fixed and submitted to the Electron Microscopy Core at OHSU for sectioning and visualization. Buffer details are presented in Supplemental Methods.

Tissue and Plasma Lipids

Total hepatic triglycerides (TG) were analyzed using the Wako total TG kit (Wako Chemicals, Richmond, VA). For fasting plasma ketone analyses, age-matched mice were fasted overnight, and blood was collected via saphenous vein puncture. Plasma ketones were measured using the plasma β-hydroxybutyrate kit (Cayman Chemical Co., Ann Arbor, MI).

Physical Activity

Voluntary physical activity was assessed in chow-fed 12-week old male mice, as previously described [30]. Briefly, mice were acclimated to individual housing in shoebox cages equipped with running wheels for 7 days, and voluntary wheel running was measured for 2 consecutive weeks. Activity was monitored automatically using a Mini Mitter Magnetic Switch and the VitalView Data Acquisition System (Mini Mitter, Sun River, OR).

Mitochondrial DNA Quantitation and Gene Expression Analysis

Mitochondrial DNA content was measured as previously described [29]. DNA microarray experiments were conducted at the Affymetrix Microarray Core of the OHSU Gene Microarray Shared Resource. Gene expression was measured using the Mouse Gene ST GeneChip Array (Affymetrix, Inc., Santa Clara, Calif, www.affymetrix.com). Data visualization and exploratory analysis were conducted using GeneSifter web-based software, release 59.0 (GeoSpiza Inc., Seattle, WA). Analysis, quality control, and statistical methods are presented in Supplemental Methods. All microarray data has been deposited in GEO and may be accessed via accession number GSE35497. RNA for quantitative real-time PCR (qPCR) was isolated using Tri-reagent RT (MRC, Inc., Cincinnati, OH). 1 µg of RNA was reverse-transcribed using the Superscript III first-strand synthesis system (Invitrogen, Carlsbad, CA). qPCR was performed on a Bio-Rad iCycler qPCR instrument (Bio-Rad, Hercules, CA) using gene-specific primers. Gene expression was normalized to expression of 18S rRNA. Primer sequences are available upon request.

Statistical Analyses

Data are expressed as mean±SEM with comparisons carried out using student’s t-test for two-group comparisons (Figure 1C) or one-way ANOVA followed by post-hoc analysis using a multiple comparison procedure with Bonferroni/Dunn post-hoc comparison in Graphpad Prism. p-values <0.05 were considered significant.
Figure 1

Body weight, body composition, voluntary activity, and gene expression of BER glycosylases.

Body weights were measured weekly during the feeding period, and change in body weight from initial body weight was calculated (A). Body composition was measured by NMR at 0 and 4 weeks after the start of feeding, and change in fat mass was calculated (B). Voluntary physical activity was measured by recording wheel running in individually caged, chow-fed mice for 2 weeks (C). Expression of key glycosylases initiating BER of oxidized DNA was measured by qRT-PCR (D). n = 6 for each group; *, p<0.05 vs. WT,

Results

Ogg1 mice have an Increased Propensity to Adiposity, Especially Upon High-fat Diet Feeding

In a previous study examining potassium bromate-induced carcinogenesis in Ogg1 mice, data were also presented that suggested a trend towards increased body weights in Ogg1 mice, relative to wild-type (WT) counterparts that were maintained on a chow diet [31]. In order to determine if body weights and body composition are indeed significantly altered in Ogg1 animals, male mice were individually housed at 12 weeks of age and given ad libitum access to either chow or a hypercaloric high-fat diet (HFD). Over the duration of the 10-week study, chow-fed WT and Ogg1 mice displayed similar body weights (Figure 1A). HFD-feeding significantly increased weight gain in all mice, with WT mice gaining 17.5 g on average and Ogg1 counterparts gaining 20.4 g over 10 weeks of feeding (Figure 1A). However, total weight gain over the 10-week feeding period was not significantly different between WT and Ogg1 mice on either chow or HFD (Figure 1A). Although chow-fed Ogg1 mice were not significantly heavier at the end of the feeding study, in a separate cohort of animals allowed to age to 12–15 months on a chow diet, Ogg1 mice weighed 45.1±1.40 g (n = 5) on average, compared to WT counterparts that weighed 34.5±0.87 g (n = 6; p<0.05).

Body weight, body composition, voluntary activity, and gene expression of BER glycosylases.

Body weights were measured weekly during the feeding period, and change in body weight from initial body weight was calculated (A). Body composition was measured by NMR at 0 and 4 weeks after the start of feeding, and change in fat mass was calculated (B). Voluntary physical activity was measured by recording wheel running in individually caged, chow-fed mice for 2 weeks (C). Expression of key glycosylases initiating BER of oxidized DNA was measured by qRT-PCR (D). n = 6 for each group; *, p<0.05 vs. WT, In addition to body weight, body composition was also measured by NMR before and 4 weeks after the start of feeding. Fat accumulation was significantly higher in HFD-fed Ogg1 mice, compared to WT counterparts (Figure 1B). While WT mice gained 9.14 g of fat (a 23% increase) upon HFD-feeding, Ogg1 mice gained 12.95 g of fat (a 28% increase) in the same period (Figure 1B). By 12–15 months of age, body fat in the aged cohort maintained on chow diet was also significantly different, with aged Ogg1 animals having 32.2% of their body weight as fat mass, compared to 19.5% body fat in WT counterparts (p<0.05). These data indicate that Ogg1 mice have an increased propensity to adiposity with age or in response to HFD-feeding, compared to WT controls. At the end of the feeding period, visceral and subcutaneous adipose depots were collected and weighed. Both visceral (2.66±0.12 in WT vs. 2.91±0.19 g in Ogg1; p>0.05) and subcutaneous (0.92±0.09 in WT vs. 1.28±0.06 g in Ogg1; p<0.05 ) adipose depots tended to be larger in HFD-fed Ogg1 mice, relative to WT counterparts, indicating a generalized increase in fat accumulation in these mice. Voluntary activity (Figure 1C) and food intake were not significantly different between WT and Ogg1 mice either on chow (4.14±0.19 g in WT vs. 4.10±0.18 g in Ogg1) or HFD (2.91±0.15 g in WT vs. 3.21±0.19 g in Ogg1). While a HFD is known to induce oxidative stress, the effect of extended high-fat feeding on expression of BER glycosylases has not been characterized. Therefore, we measured the expression of three key BER glycosylases, Ogg1, Neil1, and Nth1, in livers of chow- and HFD-fed mice (Figure 1D). HFD-feeding increased expression of all three glycosylases in WT mice, suggesting that the BER pathway is upregulated in response to HFD-feeding. Neil1 and Nth1 expression were increased by HFD-feeding in Ogg1 mice, as well. As expected, Ogg1 expression was undetectable in Ogg1 animals.

Ogg1 mice have Increased Hepatic Lipid Accumulation and Impaired Glucose Tolerance

Hepatic lipid accumulation was visualized by H&E staining, and total hepatic TG was quantified. Under chow-fed conditions, there were no significant differences in hepatic TG levels between WT and Ogg1 mice (Figures 2A, B). However, HFD-fed Ogg1 mice had a more than 2-fold higher accumulation of hepatic TG, compared to WT animals (Figures 2A, B).
Figure 2

Hepatic lipid accumulation and triglyceride content.

Hepatic lipids were visualized by H&E staining of formalin-fixed paraffin embedded liver tissues in chow- and HFD-fed animals (A). Images are representative of 3 animals per group. Bar represents 50 µM in all images. Hepatic triglyceride (TG) content (B) was quantified as described. n = 6 for each group; *, p<0.05 vs. WT,

Hepatic lipid accumulation and triglyceride content.

Hepatic lipids were visualized by H&E staining of formalin-fixed paraffin embedded liver tissues in chow- and HFD-fed animals (A). Images are representative of 3 animals per group. Bar represents 50 µM in all images. Hepatic triglyceride (TG) content (B) was quantified as described. n = 6 for each group; *, p<0.05 vs. WT, Since increased adiposity and hepatic lipid accumulation are risk factors for insulin resistance, glucose tolerance was assessed after 7 weeks of chow or HFD-feeding. After an intraperitoneal injection of glucose, chow-fed mice showed an increase in plasma glucose that returned to baseline levels by 180 minutes after injection (Figure 3A). As anticipated, HFD-feeding resulted in greater elevations in plasma glucose after glucose injection. While starting plasma glucose levels were comparable to WT values in HFD-fed Ogg1 mice, glucose clearance was significantly delayed in these animals. Plasma glucose levels at 90 and 180 minutes after glucose injection were significantly higher in HFD-fed Ogg1 mice, relative to WT counterparts (Figure 3A). Fasting plasma insulin levels were comparable in chow-fed WT and Ogg1 mice (Figure 3B). HFD-feeding increased fasting plasma insulin levels by 2.2-fold in WT mice and by 5.8-fold in Ogg1 animals (Figure 3B). In conjunction with the delayed glucose clearance (Figure 3A), the elevated plasma insulin levels in HFD-fed Ogg1 mice (Figure 3B) indicate a significant impairment in insulin sensitivity in these animals, relative to WT controls.
Figure 3

Glucose tolerance and plasma insulin.

Glucose tolerance was measured by quantifying plasma glucose after an intraperitoneal injection of 1g glucose/kg BW in chow-fed and HFD-fed animals (A). Fasting plasma insulin was measured by ELISA prior to glucose injection (B). n = 6 for each group; *, p<0.05 vs. WT,

Glucose tolerance and plasma insulin.

Glucose tolerance was measured by quantifying plasma glucose after an intraperitoneal injection of 1g glucose/kg BW in chow-fed and HFD-fed animals (A). Fasting plasma insulin was measured by ELISA prior to glucose injection (B). n = 6 for each group; *, p<0.05 vs. WT,

Resting Respiratory Exchange Ratio, Fasting Plasma Ketones, and Hepatic Glycogen Content are Altered in Ogg1 mice

In order to determine if basal metabolic rates were altered due to OGG1 deficiency, O2 consumption and CO2 production were measured in chow and HFD-fed mice. There were no significant differences in O2 consumption or CO2 production between chow-fed WT and Ogg1 mice (Figures 4A and 4B). After HFD-feeding, CO2 production during the resting phase was significantly higher in Ogg1 mice, relative to WT animals (Figure 4C and 4D). Consistently, the respiratory exchange ratio (RER), an indicator of substrate utilization, was also significantly increased during the resting phase in HFD-fed Ogg1 mice (Figure 4F), relative to WT animals, indicating a slight, but significant decrease in reliance on fatty acid oxidation for energy needs during the resting phase in these animals.
Figure 4

Indirect calorimetry, plasma ketones, and hepatic glycogen.

O2 consumption (A, B), and CO2 production (C, D) were measured by indirect calorimetry in chow- or HFD-fed animals over consecutive dark and light cycles. Respiratory exchange ratio (RER) was calculated as VCO2/VO2 (E, F). Fasting plasma ketones were measured after an overnight fast (G). Hepatic glycogen (H) was measured in chow-fed and HFD-fed Ogg1 mice. n = 6 in each group; *, p<0.05 vs. WT.

Indirect calorimetry, plasma ketones, and hepatic glycogen.

O2 consumption (A, B), and CO2 production (C, D) were measured by indirect calorimetry in chow- or HFD-fed animals over consecutive dark and light cycles. Respiratory exchange ratio (RER) was calculated as VCO2/VO2 (E, F). Fasting plasma ketones were measured after an overnight fast (G). Hepatic glycogen (H) was measured in chow-fed and HFD-fed Ogg1 mice. n = 6 in each group; *, p<0.05 vs. WT. Fasting plasma ketones were measured after an overnight fast to obtain an additional measure of in vivo fatty acid oxidation. Interestingly, in chow-fed Ogg1 mice, fasting plasma ketones were reduced by 39% (p<0.05), relative to WT controls (Figure 4G). HFD-fed Ogg1 mice also had a similar 34% decrease (p<0.05) in fasting plasma ketones, indicating reduced rates of fatty acid oxidation in Ogg1 mice. Based on the significant increase in RER (Figure 4F), we hypothesized that Ogg1 mice may preferentially utilize carbohydrate stores to meet energy needs. Therefore, hepatic glycogen content was measured and found to be diminished by 27% (p<0.05) in both chow-fed and HFD-fed Ogg1 mice, relative to WT counterparts (Figure 4H). Concomitantly, we also observed a slight, but significant increase in gene expression of two rate-limiting glycolytic enzymes, glucokinase (32%; p<0.05) and phosphofructokinase (23%; p<0.05), in livers of HFD-fed Ogg1 mice. Taken together with the reduced fasting plasma ketones and the significant increase in resting phase RER, these data are suggestive of a decreased reliance on fatty acids as a fuel source in Ogg1 mice. Since OGG1 has both nuclear and mitochondrial localization, we sought to determine if mtDNA content or mitochondrial structure was altered in Ogg1 mice. mtDNA abundance was measured by PCR and was not consistently reduced in all Ogg1 mice (Supporting Figure S1A). TEM analysis of mitochondrial density and ultrastructure in liver did not reveal differences between WT and Ogg1 mice (Supporting Figure S1B).

Hepatic Lipogenic Genes are not Upregulated in Ogg1 Livers

To gain further insight into the mechanistic changes underlying the metabolic phenotype of Ogg1 animals, hepatic gene expression was assessed through a combination of high-throughput DNA microarray and quantitative real-time PCR (qPCR). Analysis of differentially expressed probe sets (DEPs) by GeneSifter revealed 26 probesets (10 upregulated, 16 downregulated) to be altered by at least 1.5 fold in chow-fed Ogg1 livers, compared to WT livers (Supporting Table S1). After 10 weeks of HFD feeding, 1572 probesets were differentially expressed (132 upregulated and 1440 downregulated) in Ogg1 livers, compared to WT counterparts (Supporting Table S2). In addition to data analysis by GeneSifter, the Affymetrix data was simultaneously submitted to Ingenuity Systems for analysis via Ingenuity iReport for Gene Expression Analysis, the results of which were over 75% concordant with the GeneSifter analyses (Supporting Tables S3, S4). To investigate possible biological interactions and commonalities between the differentially regulated genes, DEPs identified by GeneSifter analyses were analyzed using Kyoto Encyclopedia of Genes and Genomes (KEGG) and gene ontology terms in GeneSifter, and pathways with a z-score greater than or equal to 2.0 and less than or equal to −2.0 were considered to be enriched or underrepresented, respectively (Supporting Tables S5, S6). Given the observations of metabolic dysfunction in Ogg1 mice, the microarray data were queried for potential mechanisms that may explain these phenotypes. Since increased hepatic TG can occur secondary to increased de novo lipogenesis, we sought to determine if hepatic lipogenic genes were differentially regulated in livers of Ogg1 mice. The master regulator of lipogenic genes, sterol regulatory element binding protein-1c (SREBP-1c, gene ID: Srebf), which also regulates its own gene expression, was increased by 1.9-fold in livers of HFD-fed Ogg1 mice (Supporting Tables S2, S4). Interestingly, none of the classical target genes of SREBP-1c, including acetyl-CoA carboxylase (Acc), fatty acid synthase (Fas) or stearoyl-CoA desaturase-1 (Scd1) were found to be upregulated by either microarray or by qPCR analyses (Figure 5A). In fact, all these genes were significantly lower in livers of HFD-fed Ogg1 mice, relative to WT counterparts. The expression of PPAR gamma co-activator -1β (Pgc-1β), a requisite co-activator of SREBP-1c, was also significantly lower in HFD-fed Ogg1 mice, relative to WT mice (Figure 5A). This downregulation of Pgc1-β may explain the lack of increase in hepatic lipogenic gene expression, despite a significant induction of Srebp-1c. Nevertheless, based on these results, the increase in hepatic lipids in Ogg1 mice (Figure 2A) does not appear to be a consequence of increased hepatic lipogenesis.
Figure 5

Hepatic lipogenic and fatty acid oxidation gene expression.

Expression of key genes involved in hepatic lipogenesis (A) and fatty acid oxidation (B) were measured by qRT-PCR. n = 6 in each group; *, p<0.05 vs. WT,

Hepatic lipogenic and fatty acid oxidation gene expression.

Expression of key genes involved in hepatic lipogenesis (A) and fatty acid oxidation (B) were measured by qRT-PCR. n = 6 in each group; *, p<0.05 vs. WT,

Fatty Acid Oxidation and TCA Cycle Gene Expression is Reduced in Ogg1 Livers

Since resting phase RER was significantly higher and plasma ketones were reduced in HFD-fed Ogg1 mice, expression of genes involved in fat oxidation was examined. Consistent with a reduction in fatty acid oxidation, the microarray data revealed that several genes involved in fatty acid oxidation were significantly downregulated in HFD-fed Ogg1 livers, relative to WT counterparts (Table 1). Calcium-binding protein 39-like (Cab39l; also termed mouse protein 25 beta), electron-transferring-flavoprotein dehydrogenase (Etfdh), long-chain acyl-coenzymeA (CoA) synthetase isoforms 5 (Acsl5), AMP-activated protein kinase alpha subunit 2 (AMPKα2), PPAR-gamma coactivator -1 alpha (Pgc-1α), medium chain acyl-Coenzyme A dehydrogenase (Acadm), and peroxisomal enoyl-CoA delta isomerase (Peci), were all significantly downregulated by at least 1.5-fold in HFD-fed Ogg1 livers (Table 1). Furthermore, Pgc-1α, a key regulator of fatty acid oxidation gene expression in liver, was significantly lower in livers of chow-fed (Figure 5B), as well as HFD-fed (Table 1 and Figure 5B) Ogg1 mice. Concomitant with the reduction in Pgc-1α, additional key genes of fatty acid oxidation, including carnitine palmitoyl transferase-1 (Cpt-1), acyl CoA oxidase (Aox), and peroxisome proliferator-activated receptor alpha (Pparα)? were also decreased in HFD-fed Ogg1 mice, relative to WT counterparts (Figure 5B).
Table 1

Fatty acid oxidation genes.

Gene IDFold changeDirectionadjusted p-valueFold change qRT-PCRDirectionp-value
Cab39l 2.08Down0.003273.72Down7.73E-05
Etfdh 2.05Down0.0026883.43Down0.000125
Acsl5 1.93Down0.0119953.12Down0.00311
Prkaa2 1.88Down0.0044452.98Down0.001322
Ppargc1a 1.73Down0.004554.78Down0.00406207
Acadm 1.51Down0.0071722.26Down0.001677
Peci 1.51Down0.0095131.91Down0.038155

Genes associated with fatty acid oxidation were identified from among the significantly differentially expressed probe sets between HFD-fed WT and Ogg1 mice, using gene ontology terms in Gene Sifter. Gene expression changes were confirmed by qRT-PCR using gene-specific primers. n = 6 in each group. Cab39l, calcium binding protein 39-like, Etfdh, electron transfer flavoprotein-ubiquinone oxidoreductase, Acsl5, acyl-CoA synthetase 5, Prkaa2, 5′-AMP-activated protein kinase catalytic subunit alpha-2, Ppargc1a, Peroxisome proliferator-activated receptor gamma coactivator 1-alpha, Acadm, medium-chain acyl-CoA dehydrogenase, Peci, peroxisomal 3,2-trans-enoyl-CoA isomerase.

Genes associated with fatty acid oxidation were identified from among the significantly differentially expressed probe sets between HFD-fed WT and Ogg1 mice, using gene ontology terms in Gene Sifter. Gene expression changes were confirmed by qRT-PCR using gene-specific primers. n = 6 in each group. Cab39l, calcium binding protein 39-like, Etfdh, electron transfer flavoprotein-ubiquinone oxidoreductase, Acsl5, acyl-CoA synthetase 5, Prkaa2, 5′-AMP-activated protein kinase catalytic subunit alpha-2, Ppargc1a, Peroxisome proliferator-activated receptor gamma coactivator 1-alpha, Acadm, medium-chain acyl-CoA dehydrogenase, Peci, peroxisomal 3,2-trans-enoyl-CoA isomerase. In addition to fatty acid oxidation, PGC-1α also regulates genes involved in TCA cycle metabolism [32]. Consistent with the reduction in Pgc-1α levels (Table 1 and Figure 5B), several genes involved in the TCA cycle, including dihydrolipoamide dehydrogenase (Dld), malate dehydrogenase 1 (Mdh1), and fumarate hydratase (Fh) were all reduced by at least 1.5 fold in HFD-fed Ogg1 mice, as indicated by microarray analysis (Table 2). Additional genes involved in TCA cycle metabolism including isocitrate dehydrogenase 3 (Idh3a), pyruvate dehydrogenase E1 alpha 1 (Pdha1), succinate-Coenzyme A ligase (Sucla2), aconitase 1 (Aco1), succinate dehydrogenase complex, subunit A (Sdha) were all downregulated by at least 20% in HFD-fed Ogg1 livers (Table 2).
Table 2

TCA cycle metabolism genes.

Gene IDFold changeDirectionadjusted p-valueFold change qRT-PCRDirectionp-value
Dld 1.68Down0.0130952.95Down0.000386
Mdh1 1.64Down0.0044343.29Down0.000167
Fh1 1.63Down0.0064853.06Down0.001282
Idh3a 1.48Down0.0038292.02Down0.001583
Pdha1 1.35 Down0.009291.86Down0.003487
Sucla2 1.32 Down0.0166332.10Down0.006097
Aco1 1.28 Down0.0037591.34Down0.013955
Sdha 1.20 Down0.0100291.56Down0.015946

Genes associated with TCA cycle metabolism were identified from among the significantly differentially expressed probe sets between HFD-fed WT and Ogg1 mice, using gene ontology terms in Gene Sifter. Gene expression changes were confirmed by qRT-PCR using gene-specific primers. n = 6 in each group. Idh3a, isocitrate dehydrogenase 3, Pdha1, pyruvate dehydrogenase E1 alpha 1, Sucla2, succinate-Coenzyme A ligase, Aco1, aconitase 1, Sdha, succinate dehydrogenase complex, subunit A.

Genes associated with TCA cycle metabolism were identified from among the significantly differentially expressed probe sets between HFD-fed WT and Ogg1 mice, using gene ontology terms in Gene Sifter. Gene expression changes were confirmed by qRT-PCR using gene-specific primers. n = 6 in each group. Idh3a, isocitrate dehydrogenase 3, Pdha1, pyruvate dehydrogenase E1 alpha 1, Sucla2, succinate-Coenzyme A ligase, Aco1, aconitase 1, Sdha, succinate dehydrogenase complex, subunit A.

Discussion

We demonstrate here that the DNA repair glycosylase, OGG1, plays a novel role in regulating cellular energy metabolism. Ogg1 expression is induced in response to a HFD (Figure 1D), suggesting that the repair of oxidative lesions such as 8-oxo-G by OGG1 are part of the cellular response to oxidative stress, such as that induced by a HFD. Conversely, in the absence of OGG1, a HFD led to accelerated development of several features of metabolic syndrome, including increased adiposity (Figure 1B), hepatic lipid accumulation (Figure 2), and impaired glucose tolerance upon high-fat feeding (Figure 3A). This was accompanied by increased resting RER (Figure 4F), reduced fasting plasma ketones (Figure 4G), and reduced expression of key genes of fat oxidation (Table 1 and Figure 5B), all indicating a shift in energy metabolism in Ogg1 mice away from fat oxidation. Taken together with the reduced hepatic glycogen content in Ogg1 livers (Figure 4H), these changes are indicative of a shift in cellular metabolism towards glucose utilization, over fat oxidation, in Ogg1 livers.

Regulation of Pgc-1 Transcriptional Co-activators and Fatty Acid Oxidation in Response to DNA Damage

A striking observation in Ogg1 mice was that of reduced levels of both Pgc-1α and -1β expression in liver. These two highly regulated transcriptional co-activators play critical roles in diverse cellular processes [33]–[35]. PGC-1β is a requisite co-activator for the lipogenic transcription factor, SREBP-1c [36]. Therefore, the reduction in Pgc-1β levels (Figure 5A) in Ogg1 livers may explain the lack of induction of de novo lipogenesis in Ogg1 mice, despite a significant increase in Srebp-1c message levels (Figure 5A). PGC-1α plays tissue-specific roles in pathways ranging from mitochondrial biogenesis [35] to TCA cycle flux [32] and fatty acid oxidation [33]. Chow-fed and HFD-fed Ogg1 mice had significantly reduced expression of hepatic Pgc-1α, compared to WT counterparts. Consistently, while expression of Cpt-1, a Pgc-1α target gene, was significantly elevated in response to HFD-feeding in WT mice (Figure 5B), Ogg1 animals did not show a similar induction of Cpt-1. Furthermore, several additional genes of fatty acid oxidation were found to be reduced, especially after HFD-feeding, in Ogg1 mice (Table 1 and Figure 5B). In addition to these changes in gene expression, Ogg1 mice also had significantly reduced plasma ketone levels following an overnight fast (Figure 4G), suggesting decreased fatty acid oxidation, consistent with the observation of elevated resting phase RER (Figure 4F) in these mice. The observation of reduced levels of Pgc-1α in Ogg1 mice after HFD is especially striking. PGC-1α has been demonstrated to be downregulated in response to DNA damage via both reduced transcription of the gene [37], as well as through increased protein degradation [3]. Furthermore, several groups have reported a decrease in Pgc-1α levels in breast and colon cancers [38]–[40]. Given the role of OGG1 in maintaining genomic integrity, it is therefore plausible that the reduction of Pgc-1α upon HFD-feeding is directly or indirectly related to the DNA repair functionality of OGG1, and that this downregulation of Pgc-1α mediates the metabolic phenotype observed in Ogg1 mice. Additional studies are underway in order to understand the precise nature of the downregulation of Pgc-1α in Ogg1 mice, including regulation of the PGC-1α protein. However, from the current study, it is clear that OGG1 deficiency alters the hepatic response to a HFD such that expression of Pgc-1α, as well as that of several of its key downstream target genes, is blunted in Ogg1 mice. To our knowledge, this is the first demonstration of a DNA repair protein being directly linked to the dietary regulation of Pgc-1α and as such, provides important potentially mechanistic information regarding the pathology of diet-induced metabolic disease.

OGG1 Deficiency is Correlated with Human Metabolic Disease

In further support for a role for OGG1 in metabolic dysfunction, the Ser326Cys OGG1 polymorphism has been recently reported to be associated with Type II diabetes in both a Japanese and Mexican American population [41], [42]. While most studies investigating the consequences of human OGG1 polymorphisms have thus far been focused on the role of OGG1 in carcinogenesis, in light of the emerging evidence suggesting a role for OGG1 in maintaining energy balance, it will be interesting to determine if these common polymorphisms of human OGG1 are also associated with features of the metabolic syndrome. To our knowledge, studies investigating common gene polymorphisms and their correlations with increased body mass index have not thus far focused extensively on a role for DNA repair glycosylases such as Ogg1 or Neil1. Given the emerging link between these glycosylases and metabolic syndrome, a retrospective screen of specimens collected in previous studies may help shed light on potential correlations between inactivating mutations in Ogg1 and metabolic disease. In this regard, ongoing studies in our lab are aimed at characterizing the prevalence of common polymorphisms in the Ogg1 gene, as well as the extent of tissue DNA damage in cohorts such as individuals undergoing bariatric surgery to determine the incidence of inactivating mutations in DNA repair genes in obese populations.

OGG1 Acts through a Distinct Mechanism in Regulating Metabolic Parameters

We previously described a phenotype of spontaneous obesity and metabolic dysfunction in mice deficient in another BER glycosylase, NEIL1 [29], [43]. Neil1 mice spontaneously develop obesity on a chow diet, a phenotype that is greatly accelerated by HFD-feeding [29], [43]. This is accompanied by increased hepatic lipid accumulation and impairments in glucose tolerance in Neil1 mice [29], [43]. Since NEIL1 and OGG1 have very distinct substrate specificities in the repair of oxidized lesions, these similarities in phenotype with regard to the development of metabolic syndrome were completely unexpected. Indeed, a similar phenotype has not been observed in mice deficient in NEIL3 [44], despite considerable overlap in substrate specificities between NEIL1 and NEIL3. Interestingly, despite broad similarities in phenotype between Neil1 and Ogg1 mice, these two models exhibit important differences in the mechanisms underlying the observed pathologies. While overall energy expenditure was reduced in Neil1 mice [29], we did not observe any specific changes in RER [29] or fasting ketones in Neil1 animals (Sampath, Lloyd; unpublished), suggesting a generalized decrease in metabolic rate in Neil1 mice, rather than altered substrate preference, as observed in Ogg1 animals (Figures 4D,F). Furthermore, gene expression analysis of livers of Neil1 mice revealed a marked increase in inflammatory gene expression [29], while such a phenotype was not evident in the Ogg1 mice in the current study. This lack of an inflammatory response in Ogg1 livers, despite increased lipid accumulation, is consistent with other reports of an attenuated inflammatory response in the absence of OGG1 [45], [46], suggesting a possible role for excision of 8-oxoG and its subsequent release into the circulation in modulating the tissue inflammatory response. Based on the results of the current study, we propose that oxidative stress, such as that resulting from HFD-feeding, results in DNA damage and a compensatory upregulation of the BER pathway to address this damage (Figures 1D, 6). In the absence of OGG1, a critical enzyme of the BER system, DNA damage goes unrepaired, leading to an aberrant response to a HFD in terms of regulation of Pgc-1α expression and fatty acid oxidation (Figures 4D, 4F, 4G, 5B, 6). Misregulation of these mediators leads to sparing of fat as a fuel and ultimately to lipid accumulation and obesity in Ogg1 mice (Figures 1B, 2, 6). These findings shed light on a novel pathway of metabolic regulation downstream of DNA damage and argue for an unexpected but critical role for OGG1 and the BER pathway in the maintenance of whole body energy balance.
Figure 6

Proposed model for maintenance of metabolic health by OGG1.

Oxidative stress, such as that induced by consumption of a HFD, damages cellular components, including DNA. Key BER glycosylases, such as Ogg1, are induced in response to this stress and help to restore genomic integrity. In contrast, in the absence of OGG1, through mechanisms that are as yet unclear, there is aberrant regulation of downstream factors such as Pgc-1α and fatty acid oxidation. These alterations lead to a potential fat-sparing phenotype in OGG1-deficient mice, resulting in accelerated development of hepatic steatosis and obesity upon HFD-feeding in Ogg1 mice.

Proposed model for maintenance of metabolic health by OGG1.

Oxidative stress, such as that induced by consumption of a HFD, damages cellular components, including DNA. Key BER glycosylases, such as Ogg1, are induced in response to this stress and help to restore genomic integrity. In contrast, in the absence of OGG1, through mechanisms that are as yet unclear, there is aberrant regulation of downstream factors such as Pgc-1α and fatty acid oxidation. These alterations lead to a potential fat-sparing phenotype in OGG1-deficient mice, resulting in accelerated development of hepatic steatosis and obesity upon HFD-feeding in Ogg1 mice. Mitochondrial DNA content and mitochondrial ultrastructure. Mitochondrial DNA content (A, B) was measured by PCR using primers directed against two different regions of mitochondrial DNA. n = 5–6 in each group. CytoxII, cytochrome c oxidase, subunit 2; ND5, NADH dehydrogenase subunit 5. Mitochondrial density and ultrastructure in liver was also visualized by TEM (C). Images are representative of 3 animals per group. Scale bar represents 8.33 µM in all images. (TIF) Click here for additional data file. Differentially expressed probesets (DEPs) identified by GeneSifter in chow-fed livers. Pairwise analysis of chow-fed WT vs. Ogg1 was performed by t-test between the groups, followed by a Benjamini and Hochberg adjustment used to correct for false discovery rates using GeneSifter software. WT mice were designated as the control group, and Ogg1 mice were designated as the experimental group. Probesets that were differentially expressed by at least 1.5 fold and with an adjusted p<0.05 are presented. n = 6 in each group. (DOC) Click here for additional data file. DEPs identified by GeneSifter in HFD-fed livers. Pairwise analysis of HFD-fed WT vs. Ogg1 was performed by t-test between the groups, followed by a Benjamini and Hochberg adjustment used to correct for false discovery rates using GeneSifter software. WT mice were designated as the control group, and Ogg1 mice were designated as the experimental group. Probesets that were differentially expressed by at least 1.5 fold and with an adjusted p<0.05 are presented. n = 6 in each group. (DOC) Click here for additional data file. DEPs identified by iReport in chow-fed livers. Pairwise analysis of chow-fed WT vs. Ogg1 was conducted by iReport (Ingenuity Systems, Redwood City, CA), with WT mice were designated as the control group, and Ogg1 mice designated as the experimental group. Probesets that were differentially expressed by at least 1.5 fold and with an adjusted p<0.05 are presented. n = 6 in each group. (DOC) Click here for additional data file. DEPs identified by iReport in HFD-fed livers. Pairwise analysis of HFD-fed WT vs. Ogg1was conducted by iReport (Ingenuity Systems, Redwood City, CA), with WT mice were designated as the control group, and Ogg1 mice designated as the experimental group. Probesets that were differentially expressed by at least 1.5 fold and with an adjusted p<0.05 are presented. n = 6 in each group. (DOC) Click here for additional data file. KEGG Pathway analysis of DEPs in chow-fed livers. DEPs that were altered by at least 1.4 fold in chow-fed Ogg1 livers, relative to WT livers, were annotated using the Kyoto Encyclopedia of Genes and Genomes (KEGG) in GeneSifter. All pathways with an associated z-score >2.0 or <−2.0 are presented. n = 6 per group. n = 6 in each group. (DOC) Click here for additional data file. KEGG Pathway analysis of DEPs in HFD-fed livers. DEPs that were altered by at least 1.4 fold in HFD-fed Ogg1 livers, relative to WT livers, were annotated using the Kyoto Encyclopedia of Genes and Genomes (KEGG) in GeneSifter. All pathways with an associated z-score >2.0 or <−2.0 are presented. n = 6 per group. (DOC) Click here for additional data file. Supporting Methods. (DOC) Click here for additional data file.
  46 in total

1.  Variable penetrance of metabolic phenotypes and development of high-fat diet-induced adiposity in NEIL1-deficient mice.

Authors:  Harini Sampath; Ayesha K Batra; Vladimir Vartanian; J Russ Carmical; Deborah Prusak; Irena B King; Brian Lowell; Lauriel F Earley; Thomas G Wood; Daniel L Marks; Amanda K McCullough; Lloyd R Stephen
Journal:  Am J Physiol Endocrinol Metab       Date:  2011-02-01       Impact factor: 4.310

Review 2.  Regulation of PGC-1α, a nodal regulator of mitochondrial biogenesis.

Authors:  Pablo J Fernandez-Marcos; Johan Auwerx
Journal:  Am J Clin Nutr       Date:  2011-02-02       Impact factor: 7.045

3.  hOGG1 Ser326Cys polymorphism and risk of lung cancer by histological type.

Authors:  Toshiki Okasaka; Keitaro Matsuo; Takeshi Suzuki; Hidemi Ito; Satoyo Hosono; Takakazu Kawase; Miki Watanabe; Yasushi Yatabe; Toyoaki Hida; Tetsuya Mitsudomi; Hideo Tanaka; Kohei Yokoi; Kazuo Tajima
Journal:  J Hum Genet       Date:  2009-10-30       Impact factor: 3.172

4.  DNA damage induces down-regulation of PEPCK and G6P gene expression through degradation of PGC-1alpha.

Authors:  Hyun-Ju Kim; Hye Jin Jee; Jeanho Yun
Journal:  Acta Biochim Biophys Sin (Shanghai)       Date:  2011-07-05       Impact factor: 3.848

5.  Age-dependent changes in 8-oxoguanine-DNA glycosylase activity are modulated by adaptive responses to physical exercise in human skeletal muscle.

Authors:  Zsolt Radak; Zoltan Bori; Erika Koltai; Ioannis G Fatouros; Athanasios Z Jamurtas; Ioannis I Douroudos; Gerasimos Terzis; Michalis G Nikolaidis; Athanasios Chatzinikolaou; Apostolos Sovatzidis; Shuzo Kumagai; Hisahi Naito; Istvan Boldogh
Journal:  Free Radic Biol Med       Date:  2011-04-15       Impact factor: 7.376

6.  8-Oxo-7,8-dihydroguanine: links to gene expression, aging, and defense against oxidative stress.

Authors:  Zsolt Radak; Istvan Boldogh
Journal:  Free Radic Biol Med       Date:  2010-05-17       Impact factor: 7.376

7.  Expression of 8-oxoguanine DNA glycosylase 1 (OGG1) and the level of p53 and TNF-αlpha proteins in peripheral lymphocytes of patients with Alzheimer's disease.

Authors:  Mateusz Dezor; Jolanta Dorszewska; Jolanta Florczak; Bartosz Kempisty; Joanna Jaroszewska-Kolecka; Agata Rozycka; Anna Polrolniczak; Robert Bugaj; Paweł P Jagodzinski; Wojciech Kozubski
Journal:  Folia Neuropathol       Date:  2011       Impact factor: 2.038

Review 8.  PGC-1 coactivators in the control of energy metabolism.

Authors:  Chang Liu; Jiandie D Lin
Journal:  Acta Biochim Biophys Sin (Shanghai)       Date:  2011-02-16       Impact factor: 3.848

9.  Telomere dysfunction induces metabolic and mitochondrial compromise.

Authors:  Ergün Sahin; Simona Colla; Marc Liesa; Javid Moslehi; Florian L Müller; Mira Guo; Marcus Cooper; Darrell Kotton; Attila J Fabian; Carl Walkey; Richard S Maser; Giovanni Tonon; Friedrich Foerster; Robert Xiong; Y Alan Wang; Sachet A Shukla; Mariela Jaskelioff; Eric S Martin; Timothy P Heffernan; Alexei Protopopov; Elena Ivanova; John E Mahoney; Maria Kost-Alimova; Samuel R Perry; Roderick Bronson; Ronglih Liao; Richard Mulligan; Orian S Shirihai; Lynda Chin; Ronald A DePinho
Journal:  Nature       Date:  2011-02-09       Impact factor: 49.962

Review 10.  Variant base excision repair proteins: contributors to genomic instability.

Authors:  Antonia A Nemec; Susan S Wallace; Joann B Sweasy
Journal:  Semin Cancer Biol       Date:  2010-10-16       Impact factor: 15.707

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  49 in total

1.  8-Oxoguanine DNA glycosylase-1-mediated DNA repair is associated with Rho GTPase activation and α-smooth muscle actin polymerization.

Authors:  Jixian Luo; Koa Hosoki; Attila Bacsi; Zsolt Radak; Muralidhar L Hegde; Sanjiv Sur; Tapas K Hazra; Allan R Brasier; Xueqing Ba; Istvan Boldogh
Journal:  Free Radic Biol Med       Date:  2014-03-26       Impact factor: 7.376

Review 2.  Obesity and cancer: A mechanistic overview of metabolic changes in obesity that impact genetic instability.

Authors:  Pallavi Kompella; Karen M Vasquez
Journal:  Mol Carcinog       Date:  2019-06-05       Impact factor: 4.784

3.  Innate inflammation induced by the 8-oxoguanine DNA glycosylase-1-KRAS-NF-κB pathway.

Authors:  Leopoldo Aguilera-Aguirre; Attila Bacsi; Zsolt Radak; Tapas K Hazra; Sankar Mitra; Sanjiv Sur; Allan R Brasier; Xueqing Ba; Istvan Boldogh
Journal:  J Immunol       Date:  2014-09-29       Impact factor: 5.422

Review 4.  Repair of oxidatively induced DNA damage by DNA glycosylases: Mechanisms of action, substrate specificities and excision kinetics.

Authors:  Miral Dizdaroglu; Erdem Coskun; Pawel Jaruga
Journal:  Mutat Res Rev Mutat Res       Date:  2017-02-16       Impact factor: 5.657

5.  Whole transcriptome analysis reveals a role for OGG1-initiated DNA repair signaling in airway remodeling.

Authors:  Leopoldo Aguilera-Aguirre; Koa Hosoki; Attila Bacsi; Zsolt Radák; Sanjiv Sur; Muralidhar L Hegde; Bing Tian; Alfredo Saavedra-Molina; Allan R Brasier; Xueqing Ba; Istvan Boldogh
Journal:  Free Radic Biol Med       Date:  2015-07-15       Impact factor: 7.376

6.  Sirt3 protects mitochondrial DNA damage and blocks the development of doxorubicin-induced cardiomyopathy in mice.

Authors:  Vinodkumar B Pillai; Samik Bindu; Will Sharp; Yong Hu Fang; Gene Kim; Madhu Gupta; Sadhana Samant; Mahesh P Gupta
Journal:  Am J Physiol Heart Circ Physiol       Date:  2016-02-12       Impact factor: 4.733

7.  The Ser326Cys polymorphism of hOGG1 is associated with intrahepatic cholangiocarcinoma susceptibility in a Chinese population.

Authors:  Xiangmin Ding; Ke Wang; Zhengshan Wu; Aihua Yao; Jiaxin Li; Chengyu Jiao; Jianjun Qian; Dousheng Bai; Xiangcheng Li
Journal:  Int J Clin Exp Med       Date:  2015-09-15

8.  Alteration of mitochondrial function and insulin sensitivity in primary mouse skeletal muscle cells isolated from transgenic and knockout mice: role of ogg1.

Authors:  Larysa V Yuzefovych; A Michele Schuler; Jemimah Chen; Diego F Alvarez; Lars Eide; Susan P Ledoux; Glenn L Wilson; Lyudmila I Rachek
Journal:  Endocrinology       Date:  2013-06-07       Impact factor: 4.736

9.  Oxidized Guanine Base Lesions Function in 8-Oxoguanine DNA Glycosylase-1-mediated Epigenetic Regulation of Nuclear Factor κB-driven Gene Expression.

Authors:  Lang Pan; Bing Zhu; Wenjing Hao; Xianlu Zeng; Spiros A Vlahopoulos; Tapas K Hazra; Muralidhar L Hegde; Zsolt Radak; Attila Bacsi; Allan R Brasier; Xueqing Ba; Istvan Boldogh
Journal:  J Biol Chem       Date:  2016-10-18       Impact factor: 5.157

10.  8-Oxoguanine DNA glycosylase1-driven DNA repair-A paradoxical role in lung aging.

Authors:  Peter German; David Saenz; Peter Szaniszlo; Leopoldo Aguilera-Aguirre; Lang Pan; Muralidhar L Hegde; Attila Bacsi; Gyorgy Hajas; Zsolt Radak; Xueqing Ba; Sankar Mitra; John Papaconstantinou; Istvan Boldogh
Journal:  Mech Ageing Dev       Date:  2016-06-21       Impact factor: 5.432

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