Skip to main content
Erschienen in: BMC Geriatrics 1/2019

Open Access 01.12.2019 | Research article

Associations between superoxide dismutase, malondialdehyde and all-cause mortality in older adults: a community-based cohort study

verfasst von: Chen Mao, Jin-Qiu Yuan, Yue-Bin Lv, Xiang Gao, Zhao-Xue Yin, Virginia Byers Kraus, Jie-Si Luo, Choy-Lye Chei, David Bruce Matchar, Yi Zeng, Xiao-Ming Shi

Erschienen in: BMC Geriatrics | Ausgabe 1/2019

Abstract

Background

Oxidative stress is an important theory of aging but population-based evidence has been lacking. This study aimed to evaluate the associations between biomarkers of oxidative stress, including plasma superoxide dismutase (SOD) activity and malondialdehyde (MDA), with all-cause mortality in older adults.

Methods

This is a community-based cohort study of 2224 participants (women:1227, median age: 86 years). We included individuals aged 65 or above and with plasma SOD activity and/or MDA tests at baseline. We evaluated the hazard ratios (HRs) and 95% confidence intervals (CIs) by multivariable Cox models.

Results

We documented 858 deaths during six years of follow-up. There was a significant interaction effect of sex with the association between SOD activity and mortality (P < 0.001). Compared with the lowest quintile, the risk of all-cause mortality was inversely associated with increasing quintiles of plasma SOD activity in women(P-trend< 0.001), with adjusted HRs for the second through fifth quintiles of 0.73 (95% CI 0.53–1.02), 0.52(95% CI 0.38–0.72), 0.53(95% CI 0.39–0.73), and 0.48(95% CI 0.35–0.66). There were no significant associations between SOD activity and mortality in men (P-trend = 0.64), and between MDA and mortality in all participants (P-trend = 0.79).

Conclusions

Increased activity of SOD was independently associated with lower all-cause mortality in older women but not in men. This epidemiological study lent support for the free radical/oxidative stress theory of aging.
Hinweise

Electronic supplementary material

The online version of this article (https://​doi.​org/​10.​1186/​s12877-019-1109-z) contains supplementary material, which is available to authorized users.
Abkürzungen
ADL
Activities of Daily Living
BMI
Body Mass Index
CIs
Confidence Intervals
CLHLS
Chinese Longitudinal Healthy Longevity Survey
HRs
Hazard Ratios
MDA
Malondialdehyde
MMSE
Mini-Mental State Examination
NACDA
National Archive of Computerized Data on Aging
ROS
Reactive Oxygen Species
SOD
Superoxide Dismutase

Background

Aging is the accumulation process of diverse deleterious changes in the cells and tissues with advancing age, leading to increased risk of disease and death [1]. The free radical theory proposes that aging is the cumulative result of oxidative damage to the cells and tissues of the body that arises primarily as a result of aerobic metabolism [2]. Substantial correlative evidence suggests a link of oxidative stress, an imbalance between the production and degradation of reactive oxygen species (ROS), to aging [3]. Severe oxidative stress produces excessive ROS, such as superoxide, hydroxyl, and hydrogen peroxide, which may result in damage to DNA, proteins and other cell injuries [4, 5]. The body encloses a complex antioxidant defense grid that collectively acts against free radicals. The first line defense antioxidants included superoxide dismutase (SOD), catalase and glutathione peroxidase, which play an indispensable in the entire defense strategy of antioxidants [6]. SOD is the first detoxification enzyme and most powerful antioxidant in the cell [6]. In mammals, there are three forms of SOD: SOD1 or the Cu/Zn-SOD, SOD2 or the Mu-SOD, and SOD3 or the extracellular SOD [7]. In Saccharomyces cerevisiae [8, 9] and Drosophila models [9, 10], SOD may protect against oxidative damage and extend life span. In addition to ROS, oxidative stress may also induce uncontrolled lipid peroxidation, which in turn, can result in cell injuries via DNA damage and directly inhibit proteins [11, 12]. Malondialdehyde (MDA) is a stable end product of lipid peroxidation and therefore can be used as an indirect measure of the cumulative lipid peroxidation. Both SOD and MDA have been considered as biological markers of oxidative stress [13].
Although in vitro data and studies in animal models have suggested that SOD and MDA may be associated with aging, epidemiologic evidence regarding their associations with mortality remains sparse. A cohort of 507 healthy residents indicated that high serum SOD activity was associated with protective effects against mortality from cancer [14]. This finding was consistent with a nested case-control study of 3653 participants [15]. In addition, blood MDA level has been shown to be associated with mortality in patients with HIV [16], chronic heart failure [17], and breast cancer [18]. However, epidemiologic studies investigating the associations of blood SOD activity, or MDA with all-cause mortality in community-dwelling older adults are still lacking. In this study, we prospectively evaluated these associations using the datasets from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) in longevity areas.

Methods

Design, study setting, and participants

This is a prospective, community-based cohort study with a 6-year follow-up (2011–2017). Participants were recruited from the sixth wave (2011) of CLHLS in eight longevity areas, including Chen Mai county (in Hainan province), Yong Fu county (in Guangxi province), Ma Yang county (in Hunan province), Zhong Xiang city (in Hubei province), Xia Yi county (in He Nan province), San Shui city (in Guangdong province), and Lai Zhou city (in Shandong province), and Ru Dong county (in Jiangsu province). These areas represented 3/4 of the longevity areas selected by the Chinese Society of Gerontology in 2014. We included all older adults aged 65 or above and with plasma SOD activity and/or MDA tests at baseline. Overall, 2224 older adults were included, of which 361 were lost to follow-up (see the flowchart of participant enrolment in Fig. 1). More details of the CLHLS study have been described elsewhere [19]. The study was approved by the Ethics Committee of Peking University and Duke University. Informed consent was obtained from all individual participants included in the study.

Laboratory methods

Medical professionals collected about 5 ml of venous blood samples from the older adults using blood collection tubes and heparin anticoagulant. Samples were shipped to Beijing at − 80 degrees Celsius and analyzed centrally. We tested the SOD activity with the T-SOD assay kit (Nanjing Jiangcheng Bioengineering Institute, Jiangsu, China) based on the hydroxylamine method [20]. MDA was tested with the MDA assay kit (Nanjing Jiangcheng Bioengineering Institute, Jiangsu, China) based on thiobarbituric acid method [21]. Blood biochemistry tests, including lipid profile, fasting blood glucose, high sensitivity c-reactive protein, and uric acid were analyzed by clinical chemistry analyzer (Hitachi 7180, Japan).

Assessment of covariates

Based on a review of the literature, we selected covariates that may confound the relationship between blood SOD activity, MDA and mortality. We collected covariate information from the structured questionnaire [22] and biochemistry tests. The covariates for our analyses included sociodemographic characteristics (age, sex, education), routine physical checkup (body mass index [BMI], and blood pressure), lifestyle behaviors (smoking, alcohol drinking, physical activity, fresh fruit intake, vegetable consumption, meat intake), self-reported medical history (diabetes mellitus, heart disease, cerebrovascular disease, respiratory disease including bronchitis, emphysema, asthma, and pneumonia), activities of daily living (ADL), lipid profile, fasting blood glucose, high sensitivity c-reactive protein, and uric acid.

Assessment of deaths

We ascertained the survival status of included participants in the seventh (2014) and the eighth (2017) wave of the CLHLS survey. The date of death was recorded and confirmed by participants’ family members or local doctors. The survival time for participants was defined as the period from the date of the 2011 survey to the date of death. A ‘lost to follow-up’ status was assigned to those who could not be found and contacted. The data for the participants who survived until the 2017 survey were censored at the time of the 2017 survey.

Statistical analysis

We summarized the baseline characteristics of included participants by quintiles of SOD activity and MDA levels. We evaluated all-cause mortality by quintiles of SOD activity and MDA levels with Kaplan-Meier survival plots. Equality of death distributions was tested with log-rank tests. We used Cox proportional-hazards models to evaluate the hazard ratios (HRs) and 95% confidence intervals (CIs) by quintiles of SOD and MDA taking the lowest quintile as the reference group. We also evaluated the HRs for mortality by each 10 U/mL increase in SOD activity and each 5 μmol /L increase in MDA. The proportional hazards assumption of the Cox regression model was tested by plotting the log of the cumulative hazard functions against time and checking for parallelism [23]. Because our preliminary analysis showed a significant interaction effect of sex with the association between SOD activity and mortality (P-interaction = 0.008), the analyses of SOD activity were carried out in women and men separately.
We applied multivariable Cox regression models to adjust for established and potential risk factors for mortality. We adjusted for age at baseline (continuous), sex (women or men, for MDA) and residence (urban or rural) in the basic analysis model. In the fully-adjusted models we controlled for years of education (0 or ≥ 1 year), frequent vegetable consumption (yes or no), frequent fruit consumption (yes or no), frequent meat consumption (yes or no), frequent physical exercise (yes or no), smoking (current smoker or non-current smoker), alcohol drinking (current drinker or non-current drinker), hypertension (yes or no, confirmed by baseline blood pressure), BMI (continuous), fasting blood glucose (< 7 mmol/L or > =7 mmol/L, based on the criteria for the diagnosis of diabetes mellitus for the Chinese population [24]), total cholesterol (< 6.2 mmol/L or > =6.2 mmol/L, based on the criteria for the diagnosis of hyperlipidemia for the Chinese population [25]), and triglycerides (< 2.3 mmol/L or > =2.3 mmol/L, based on the criteria for the diagnosis of hyperlipidemia for the Chinese population [25]).
We conducted subgroup analyses of the associations of each 10 U/mL increase in SOD and each 5 μmol /L increase in MDA with mortality by age (65–89 years or > =90 years), residence (urban or rural), years of education (0 or >=1 year), smoking status (current or not current), drinking status (current or not current), frequent vegetable consumption (yes or no), frequent fruit consumption (yes or no), and BMI (< 18.5 kg/m2, > = 18.5 kg/m2, or < 24 kg/m2). The interaction effects were tested by including interaction terms in Cox models. As the numbers of participants and deaths in each quintile were too small to provide a precise effect estimate, subgroup analyses for the associations of SOD and MDA with mortality by quintiles were not performed.
We conducted a number of sensitivity analyses to check the robustness of the primary results: 1) additionally adjusting for ethnic group (Han or minority) as the SOD activity may be different by ethnic group [26]; 2) additionally adjusting for frequent milk intake (yes or no) which is a factor that may influence the SOD activity [26]; 3) additionally adjusting for cognitive impairment (yes or no, defined as Mini-Mental State Examination [MMSE] < 24 [27]) for potential confounding effect [28]; 4) additionally adjusting for high sensitive c-reactive protein which is a marker of inflammation [29]; 5) excluding the participants who died in the first year; and 6) excluding participants with a history of diabetes mellitus, heart disease, cerebrovascular disease, or respiratory diseases. A two-tailed P-value of less than 0.05 was considered statistically significant. Analyses were completed using Stata version 12.0 (StataCorp LP, College Station, TX, USA).

Results

Baseline characteristics

Table 1 presents the baseline characteristics of the participants. The median age of participants was 86 years (interquartile range 76 to 98 years). A total of 997 participants (44.8%) were men and 385 (17.3%) were living in urban areas. The mean SOD activity of included participants was 57.4 U/mL and was lower in men (56.18 U/mL) than in women (58.5 U/mL) (P < 0.001). The SOD activity was positively associated with age, with a median age of 83 years for the lowest quintile and 90 years for the highest quintile. The mean MDA level was 5.35 μmol /L (SD: 2.89 μmol /L) with no significant difference between women and men (P = 0.24) and was not significantly associated with age (P = 0.09).
Table 1
Characteristics of participants by quintiles of superoxide dismutase and malondialdehyde
 
Superoxide dismutase, U/mL
Malondialdehyde, μmol /L
Quintile 1, ~ 50.86
Quintile 2, 50.87~55.53
Quintile 3, 55.54~59.41
Quintile 4, 59.42~63.52
Quintile 5, 63.53~
Quintile 1, ~ 3.56
Quintile 2, 3.57~4.39
Quintile 3, 4.40~5.13
Quintile 4, 5.14~6.20
Quintile 5, 6.21~
No. of participants
445
443
446
445
444
442
446
447
446
442
Age, median (IQR), years
83(73–94)
84(73–96)
87(76–97.3)
88(78–100)
90(80–100)
90(79–100)
87(77–97)
86(76–96)
84-(74–96)
86(74–100)
Female, n(%)
204(45.8)
227(51.2)
227(50.9)
267(60.0)
302(68.0)
253(57.2)
235(52.7)
243(54.4)
253(56.7)
242(54.8)
Residence, n(%)
 Urban
124(27.9)
82(18.5)
50(11.2)
60(13.5)
69(15.5)
82(18.6)
103(23.1)
97(21.7)
66(14.8)
37(8.4)
 Rural
321(72.1)
361(81.5)
396(88.8)
385(86.5)
375(84.5)
360(81.4)
343(76.9)
350(78.3)
380(85.2)
405(91.6)
Education time, years
 0
251(57.0)
243(55.2)
281(63.4)
299(68.1)
322(73.2)
302(69.1)
270(61.1)
257(57.8)
255(57.6)
311(71.5)
 >=1
189(43.0)
197(44.8)
162(36.6)
140(31.9)
118(26.8)
135(30.9)
172(38.9)
188(42.2)
188(42.4)
124(28.5)
Smoking status, n(%)
 
 Current
73(17.7)
87(20.0)
87(19.8)
61(13.8)
54(12.4)
69(16.2)
81(19.1)
71(16.4)
79(17.9)
63(14.4)
 Not current
340(82.3)
348(80.0)
352(80.2)
382(86.2)
382(87.6)
358(83.8)
344(80.9)
363(83.6)
363(82.1)
375(85.6)
Alcohol drinking status, n(%)
 
 Current
68(16.3)
83(19.1)
71(16.2)
64(14.5)
40(9.1)
52(12.1)
65(15.3)
74(17.1)
80(18.1)
56(12.7)
 Not current
349(83.7)
352(80.9)
367(83.8)
377(85.5)
398(90.9)
379(87.9)
359(84.7)
359(82.9)
361(81.9)
384(87.3)
Frequent vegetable intake, n(%)
191(46.0)
199(45.9)
220(50.5)
196(44.3)
180(41.0)
193(44.8)
211(49.8)
214(49.3)
230(52.8)
139(31.5)
Frequent fruit intake, n(%)
147(35.3)
175 (40.0)
135(30.8)
157 (35.4)
138 (31.2)
128 (29.6)
139 (32.6)
174 (39.9)
181 (41.0)
130 (29.4)
Frequent meat intake, n(%)
305 (73.5)
302(69.1)
301 (69.0)
284 (64.0)
300 (67.9)
264 (61.1)
289 (68.2)
302(69.3)
285 (64.6)
353 (80.0)
Frequent physical activity, n(%)
55 (13.7)
75 (17.7)
68(16.0)
74(17.1)
52(12.1)
60 (14.2)
67 (16.2)
70 (16.5)
74(17.3)
53 (12.4)
Restricted ADL, n(%)
337 (83.2)
328 (77.2)
338 (79.9)
330 (76.7)
342 (80.1)
336 (80.0)
345 (82.5)
329 (76.7)
337 (80.6)
329 (77.4)
BMI, mean (SD), kg/m2
21.9 (4.2)
21.7 (4.1)
21.1 (4.1)
21.0 (4.2)
20.6 (4.9)
20.3 (4.3)
21.27 (4.1)
21.3 (4.1)
21.7 (4.9)
21.7 (4.2)
Hypertension, n(%)
166 (40.2)
193 (45.0)
207 (48.7)
201 (46.6)
165 (39.7)
190 (44.6)
178 (42.7)
177 (42.1)
188 (43.9)
198 (46.8)
Glucose, mean (SD), mmol/l
234.8 (39.6)
238.6 (54.8)
236.1 (36.5)
237.9 (35.1)
242.6 (46.6)
235.7 (40.1)
238.7 (43.1)
240.3 (48.3)
240.1 (47.4)
235.3 (35.4)
Total cholesterol, mean (SD), mmol/l
4.2 (1.0)
4.3 (1.0)
4.2 (1.0)
4.3 (1.0)
4.4 (1.0)
4.0 (0.9)
4.2 (1.0)
4.3 (1.0)
4.4 (1.0)
4.5 (1.0)
Triglycerides, mean (SD), mmol/l
1.2(0.9)
1.0(0.6)
0.9(0.5)
1.0(0.6)
0.9(0.5)
0.9(0.5)
0.9(0.6)
1.0(0.7)
1.1(0.7)
1.0(0.7)
IQR: interquartile range; ADL: activity of daily living; NA: not available; BMI: body mass index

SOD activity and all-cause mortality

During 6 years of follow-up, we documented 858 deaths (women: 538, men: 320), accounting for 46.1% of all participants. Additional file 1: Figure S1 and Additional file 2: Figure S2 present the Kaplan–Meier plots for all-cause mortality by quintiles of SOD activity in women and men, respectively. The log-rank tests suggested that the differences in mortality among different levels of SOD were not statistically significant in women (P = 0.51) and in men (P = 0.45).
Table 2 presents the association between SOD activity and mortality in women and men. Regarding women, the unadjusted model suggested that the highest quintile was associated with lower but not significant all-cause mortality when compared with the lowest quintile (HR 0.79, 95% CI 0.61 to 1.03). The estimated effects were increased after adjusting for potential confounders. A higher level of SOD activity was associated with a lower risk of mortality (P-trend < 0.001). Compared with the lowest quintile in the fully adjusted model, HRs for mortality in the second through fifth quintiles were 0.73 (95% CI 0.53 to 1.02), 0.52(95% CI 0.38 to 0.72), 0.53(95% CI 0.39 to 0.73), and 0.48(95% CI 0.35 to 0.66), respectively. Evaluating the risk of mortality for each 10 U/mL increase in SOD activity yielded an adjusted-HR of 0.82(95% CI 0.74 to 0.92). However, there was no significant association between SOD activity and mortality in men based on analysis by quintiles or evaluation of SOD activity as a continuous variable.
Table 2
Association between superoxide dismutase activity and all-cause mortality in women and men
 
HR [95% CI] for all-cause mortality
Unadjusted model
Basic model a
Fully adjusted model b
Women
No. of participants
1034
1034
822
No. of events
537
537
407
No. of person years
3521.9
3521.9
2925.3
Risk at each 10 U/mL increase in SOD activity
0.96 [0.88, 1.05]
0.84[0.77, 0.92] ***
0.82[0.74, 0.92] **
Risk by quintiles
 Quintile 1
1.00(reference)
1.00(reference)
1.00(reference)
 Quintile 2
0.93[0.70, 1.22]
0.81[0.61, 1.07]
0.73 [0.53, 1.02]
 Quintile 3
0.90 [0.68, 1.19]
0.61 [0.46, 0.81]**
0.52 [0.38, 0.72]***
 Quintile 4
0.87 [0.66, 1.13]
0.60 [0.45, 0.79]***
0.53 [0.39, 0.73]***
 Quintile 5
0.79 [0.61, 1.03]
0.54 [0.41, 0.71]***
0.48 [0.35, 0.66]***
P-trend
0.07
< 0.001
< 0.001
Men
No. of participants
818
818
683
No. of events
319
319
249
No. of person years
3160.9
3160.9
2715.9
Risk at each 10 U/mL increase in SOD
1.05 [0.94, 1.17]
0.97 [0.86, 1.08]
0.99 [0.86, 1.14]
Risk by quintiles
 Quintile 1
1.00(reference)
1.00(reference)
1.00(reference)
 Quintile 2
1.25 [0.90, 1.72]
1.17 [0.84, 1.61]
1.13 [0.77, 1.68]
 Quintile 3
1.24 [0.89, 1.71]
1.16 [0.84, 1.61]
1.11 [0.75, 1.66]
 Quintile 4
1.02 [0.71, 1.46]
0.74 [0.52, 1.06]
0.74 [0.48, 1.14]
 Quintile 5
1.30 [0.90, 1.86]
1.10 [0.77, 1.58]
1.14 [0.74, 1.76]
P-trend
0.40
0.90
0.64
HR: hazard ratio; CI: confidence interval; SOD: superoxide dismutase
a. Basic model: adjusted for age (continuous), and residence (urban or rural);
b. Fully adjusted model: additionally adjusted for frequent vegetable consumption (yes or no), frequent fruit consumption (yes or no), frequent meat consumption (yes or not), frequent physical exercise (yes or no), smoking (current smoker, non-current smoker), alcohol drinking (current drinker, non-current drinker), hypertension (yes or no), body mass index (continuous), glucose (< 7 mmol/L or > =7 mmol/L), total cholesterol (< 6.2 mmol/L, > = 6.2 mmol/L), triglycerides(< 2.3 mmol/L or > =2.3 mmol/L), malondialdehyde (continuous)
* P < 0.05; **P < 0.01; *** P < 0.001

MDA level and all-cause mortality

Additional file 3: Figure S3 presents the Kaplan–Meier plots for all-cause mortality by quintiles of MDA. The log-rank test suggested no significant differences among quintiles. Cox regression analyses indicated no significant difference in the mortality for each 5 μmol /L increase in MDA (adjusted-HR 0.91, 95% CI 0.79 to 1.04) (Table 3). In the basic model, the quintile 3 had a significantly lower risk of all-cause mortality as compared with the lowest quintile (HR 1.27, 95% CI 1.03 to 1.56), but the estimate was not significant after adjusting for other potential confounders (HR 1.22, 95% CI 0.96 to 1.56).
Table 3
Association between malondialdehyde and all-cause mortality
 
HR [95% CI] for all-cause mortality
Unadjusted model
Basic model a
Fully adjusted model b
No. of participants
1853
1853
1505
No. of events
857
857
656
No. of person years
6686.9
6686.9
5641.2
Risk at each 5 μmol /L increase in MDA
0.96 [0.86, 1.08]
0.96 [0.86, 1.08]
0.91 [0.79, 1.04]
Risk by quintiles
 Quintile 1
1.00(reference)
1.00(reference)
1.00(reference)
 Quintile 2
1.02 [0.82, 1.26]
1.12 [0.91, 1.39]
1.11 [0.86, 1.42]
 Quintile 3
1.06 [0.86, 1.31]
1.27 [1.03, 1.56]*
1.22 [0.96, 1.56]
 Quintile 4
0.85 [0.68, 1.05]
1.11 [0.89, 1.38]
1.08 [0.83, 1.40]
 Quintile 5
1.02 [0.82, 1.26]
1.09 [0.88, 1.36]
0.99 [0.77, 1.28]
P-trend
0.46
0.51
0.79
HR: hazard ratio; CI: confidence interval; MDA: malondialdehyde
a. Basic model: adjusted for age (continuous), sex (men or women), and residence (urban or rural)
b. Fully adjusted model: additionally adjusted for frequent vegetable consumption (yes or no), frequent fruit consumption (yes or not), frequent meat consumption (yes or no), frequent physical exercise (yes or no), smoking (current smoker, non-current smoker), alcohol drinking (current drinker, non-current drinker), hypertension (yes or no), body mass index (continuous), glucose (< 7 mmol/L or > =7 mmol/L), total cholesterol (< 6.2 mmol/L, > = 6.2 mmol/L), triglycerides(< 2.3 mmol/L or > =2.3 mmol/L), superoxide dismutase (continuous)
*P = 0.05

Subgroup analyses

The subgroup analysis for the association between SOD activity and mortality by sex showed a significant interaction effect (P < 0.001). Subgroup analyses for SOD activity were therefore performed in women and men separately. Figure 2 presents the subgroup analyses for SOD activity in women. We found no significant interaction effects for age, residence, years of education, smoking status, drinking status, frequent vegetable consumption, frequent fruit consumption, and BMI. The subgroup analyses for SOD activity in men and for MDA in all participants are shown in Additional file 4: Table S1 and Additional file 5: Table S2. No significant interaction effects were found regarding the aforementioned factors.

Sensitivity analyses

Our sensitivity analyses, additionally adjusting for ethnic group, frequent milk intake, cognitive impairment, and high sensitivity c-reactive protein, yielded results largely similar to the primary results (see Additional file 6: Table S3 and Additional file 7: Table S4). There were no material changes in results after excluding the participants who died in the first 6 months and excluding the older adults with a history of diabetes mellitus, heart disease, cerebrovascular disease, or respiratory diseases.

Discussion

In this prospective cohort study of community-dwelling older adults, we observed a dose-response relationship between blood SOD activity and all-cause mortality in women, but not in men. The association was unlikely to be modified by age, residence, education, smoking, alcohol drinking, vegetable, fruit consumption, and BMI. We did not observe a significant association between MDA level and mortality.
The free radical theory positions an increased production of ROS at the center of age-related cellular injuries [3, 30]. Because SOD enzymes play a key role in regulating cellular ROS levels, decreased SOD activity may increase the vulnerability of cells to oxidative stress and lead to premature death [7]. In Saccharomyces cerevisiae [8, 9] and Drosophila models [9], over-expression of SOD protects against oxidative damage and extend life span. Feeding SOD mimetic drugs, such as Euk-8 and MitoQ, increase lifespan in Drosophila melanogaster [31]. In humans, the association between SOD activity with life span remains unclear although some observational studies have suggested that high SOD activity is associated with decreased mortality from cancer [14, 15]. In a cohort of 507 healthy Japanese participants aged 40 years or above with an 18-year follow-up, there was no significant association between blood SOD activity and all-cause mortality (HR for the lowest quartile vs. the highest quartile 1.35, 95% CI 0.64 to 2.97) [14]; this failure to detect an association may be a result of the small sample size and low death rate (12.6%) that would have provided inadequate study power to detect a difference. The negative association between SOD activity and mortality agreed with previous studies investigating SOD genes. In a Danish cohort of 1650 older adults (aged 92 to 93 years), individuals with the MnSOD rs4880 C alleles, known to be associated with high SOD2 enzyme activity [32], were associated with decreased mortality (HR for CC vs. CT 0.91, 95% CI 0.86 to 0.97) [33]. A prospective cohort study of 2799 subjects aged > 40 years suggested that the homozygous T allele of rs1041740 was associated with all-cause mortality (HR for TT vs. CC 1.53, 95% CI 1.01 to 2.30) [34].
Perhaps one of the most striking findings of this study was the sex-specific difference in SOD. Consistent with previous studies [35, 36], our results suggested that the average SOD activity was higher in women than in men. A sex-specific difference in the association of SOD activity with mortality was also shown in our analyses. In a Drosophila model, higher SOD activity was far more likely to increase lifespan in females than in males [10], and feeding exogenous antioxidants increased the lifespan of only female flies [31]. The mechanism for the sex-specific differences of SOD on longevity remains unclear. Possible explanations include 1) differences in metabolic rates may lead to different levels of oxidative damage between males and females [37], 2) endocrinological differences by sex may result in different sensitivity to oxidative stress [38], and 3) interactions between the SOD gene with the sex chromosomes [39].
Though in vitro and in vivo studies have suggested that MDA is a stable end product of lipid peroxidation that is associated with aging [12], we did not observe a significant association between MDA level and mortality in older adults. Additional analysis of the relationship between MDA level and SOD activity did not show any significant association. Although the pathway of MDA production by enzymatic processes is well known, its biological functions and its possible dose-dependent dual role have not been fully studied [40].
To the best of our knowledge, this is the first prospective cohort study to evaluate the association of SOD activity, MDA level with mortality in community-dwelling older adults. The strength of this study included the large sample size, careful adjustment for established and potential risk factors, investigation of potential interactions, and robust results of sensitivity analysis.
Our study has several limitations. First, we take single SOD activity test as exposure, which may be unable to present the overall SOD activity level for individual participant because oxidative stress is a dynamic process. However, we focused on the population average SOD level as this study is a population-based observational study. Such method has been commonly used to evaluate the association between SOD activity with other endpoints including cognitive decline, diabetes, hypertension, and cancer mortality. Future studies may consider repeated measure of SOD activity to minimize the potential influence of the dynamic change in SOD though such bias can hardly be fully controlled. Second, despite our best efforts to adjust for established and potential confounders, residual confounding by other unmeasured or unknown factors remains possible. Third, we cannot undertake additional analyses to investigate the type of death because such data were not collected in CLHLS. Fourth, a total of 369 participants (16.6%) were lost to follow-up in this study. However, the potential influence would be minor as the proportions of lost to follow-up were generally balanced among groups and there were no major differences in the main characteristics between those lost to follow-up and others (age: P = 0.09, sex: P = 0.18, residence: P = 0.052; education: P = 0.03 (17.8% vs. 22.8%); smoking: P = 0.34, alcohol drinking: P = 0.41, BMI: P = 0.32). Last, this study only explored baseline SOD activity and MDA level, the potential changes in these markers overtime were not adjusted.

Conclusions

Overall, our analyses indicated that higher baseline plasma SOD activity level was associated with lower overall mortality in older women but not in men. SOD activity may be considered as a prognostic biomarker for mortality in older women. Our findings suggested the importance of integrative approach in the application of different parameters of oxidative stress as potential prognostic biomarkers. Though a causal effect cannot be confirmed due to the observational study design, this study added epidemiological evidence to the free radical theory of aging. Our findings also lend support for interventions to increase the SOD activity, such as exercise and energy-restricted diet [41], to increase longevity.

Acknowledgements

Not Applicable.

Funding

The Chinese Longitudinal Healthy Longevity Study (CLHLS), which provided the data analyzed in this paper, is jointly supported by the National Natural Sciences Foundation of China (81573207, 71233001, 71490732 and 81573247), the U.S. National Institute of Aging (2P01AG031719 and 3P01AG031719-07S1). This work also supported by the National Key Research and Development Program of China (2018YFC2000400) and the Construction of High-level University in Guangdong (C1050008 and C1051007). The funders played no role in study design or implementation; data collection, management, analysis, and interpretation; manuscript preparation, review, or approval; or the decision to submit the manuscript for publication.

Availability of data and materials

This study was based on the datasets from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) in longevity areas. The CLHLS data can be publicly obtained through the National Archive of Computerized Data on Aging (NACDA) (https://​www.​icpsr.​umich.​edu/​icpsrweb/​NACDA/​series/​487).
All participants signed an informed consent form prior to participation and the study was approved by the Ethics Committee of Peking University and Duke University.
Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.
Literatur
1.
Zurück zum Zitat Harman D. The free radical theory of aging. Antioxid Redox Signal. 2003;5:557–61.CrossRef Harman D. The free radical theory of aging. Antioxid Redox Signal. 2003;5:557–61.CrossRef
2.
Zurück zum Zitat Wickens AP. Ageing and the free radical theory. Respir Physiol. 2001;128:379–91.CrossRef Wickens AP. Ageing and the free radical theory. Respir Physiol. 2001;128:379–91.CrossRef
3.
Zurück zum Zitat Gil Del Valle L. Oxidative stress in aging: theoretical outcomes and clinical evidences in humans. Biomed Aging Pathol. 2011;1:1–7.CrossRef Gil Del Valle L. Oxidative stress in aging: theoretical outcomes and clinical evidences in humans. Biomed Aging Pathol. 2011;1:1–7.CrossRef
4.
Zurück zum Zitat Thannickal VJ, Fanburg BL. Reactive oxygen species in cell signaling. Am J Physiol Lung Cell Mol Physiol. 2000;279:L1005–28.CrossRef Thannickal VJ, Fanburg BL. Reactive oxygen species in cell signaling. Am J Physiol Lung Cell Mol Physiol. 2000;279:L1005–28.CrossRef
5.
Zurück zum Zitat Lee J, Koo N, Min DB. Reactive oxygen species, aging, and antioxidative nutraceuticals. Compr Rev Food Sci Food Saf. 2004;3:21–33.CrossRef Lee J, Koo N, Min DB. Reactive oxygen species, aging, and antioxidative nutraceuticals. Compr Rev Food Sci Food Saf. 2004;3:21–33.CrossRef
6.
Zurück zum Zitat Ighodaroab OM, Akinloye OA. First line defence antioxidants-superoxide dismutase (SOD), catalase (CAT) and glutathione peroxidase (GPX): their fundamental role in the entire antioxidant defence grid. Alexandria J Med. 2018;54:287–93.CrossRef Ighodaroab OM, Akinloye OA. First line defence antioxidants-superoxide dismutase (SOD), catalase (CAT) and glutathione peroxidase (GPX): their fundamental role in the entire antioxidant defence grid. Alexandria J Med. 2018;54:287–93.CrossRef
7.
Zurück zum Zitat Landis GN, Tower J. Superoxide dismutase evolution and life span regulation. Mech Ageing Dev. 2005;126:365–79.CrossRef Landis GN, Tower J. Superoxide dismutase evolution and life span regulation. Mech Ageing Dev. 2005;126:365–79.CrossRef
8.
Zurück zum Zitat Fabrizio P, Liou LL, Moy VN, Diaspro A, SelverstoneValentine J, Gralla EB, Longo VD. SOD2 functions downstream of Sch9 to extend longevity in yeast. Genetics. 2003;163:35–46.PubMedPubMedCentral Fabrizio P, Liou LL, Moy VN, Diaspro A, SelverstoneValentine J, Gralla EB, Longo VD. SOD2 functions downstream of Sch9 to extend longevity in yeast. Genetics. 2003;163:35–46.PubMedPubMedCentral
9.
Zurück zum Zitat Harris N, Costa V, MacLean M, Mollapour M, Moradas-Ferreira P, Piper PW. Mnsod overexpression extends the yeast chronological (G(0)) life span but acts independently of Sir2p histone deacetylase to shorten the replicative life span of dividing cells. Free Radic Biol Med. 2003;34:1599–606.CrossRef Harris N, Costa V, MacLean M, Mollapour M, Moradas-Ferreira P, Piper PW. Mnsod overexpression extends the yeast chronological (G(0)) life span but acts independently of Sir2p histone deacetylase to shorten the replicative life span of dividing cells. Free Radic Biol Med. 2003;34:1599–606.CrossRef
10.
Zurück zum Zitat Spencer CC, Howell CE, Wright AR, Promislow DE. Testing an 'aging gene' in long-lived drosophila strains: increased longevity depends on sex and genetic background. Aging Cell. 2003;2:123–30.CrossRef Spencer CC, Howell CE, Wright AR, Promislow DE. Testing an 'aging gene' in long-lived drosophila strains: increased longevity depends on sex and genetic background. Aging Cell. 2003;2:123–30.CrossRef
11.
Zurück zum Zitat Nakai A, Oya A, Kobe H, Asakura H, Yokota A, Koshino T, Araki T. Changes in maternal lipid peroxidation levels and antioxidant enzymatic activities before and after delivery. J Nippon Med Sch. 2000;67:434–9.CrossRef Nakai A, Oya A, Kobe H, Asakura H, Yokota A, Koshino T, Araki T. Changes in maternal lipid peroxidation levels and antioxidant enzymatic activities before and after delivery. J Nippon Med Sch. 2000;67:434–9.CrossRef
12.
Zurück zum Zitat Spiteller G. The important role of lipid peroxidation processes in aging and age dependent diseases. Mol Biotechnol. 2007;37:5–12.CrossRef Spiteller G. The important role of lipid peroxidation processes in aging and age dependent diseases. Mol Biotechnol. 2007;37:5–12.CrossRef
13.
Zurück zum Zitat Ho E, Karimi Galougahi K, Liu CC, Bhindi R, Figtree GA. Biological markers of oxidative stress: applications to cardiovascular research and practice. Redox Biol. 2013;1:483–91.CrossRef Ho E, Karimi Galougahi K, Liu CC, Bhindi R, Figtree GA. Biological markers of oxidative stress: applications to cardiovascular research and practice. Redox Biol. 2013;1:483–91.CrossRef
14.
Zurück zum Zitat Ito Y, Suzuki K, Sasaki R, Otani M, Aoki K. Mortality rates from cancer or all causes and SOD activity level and Zn/cu ratio in peripheral blood: population-based follow-up study. J Epidemiol. 2002;12:14–21.CrossRef Ito Y, Suzuki K, Sasaki R, Otani M, Aoki K. Mortality rates from cancer or all causes and SOD activity level and Zn/cu ratio in peripheral blood: population-based follow-up study. J Epidemiol. 2002;12:14–21.CrossRef
15.
Zurück zum Zitat Pham TM, Fujino Y, Nakachi K, Suzuki K, Ito Y, Watanabe Y, Inaba Y, Tajima K, Tamakoshi A, Yoshimura T, et al. Relationship between serum levels of superoxide dismutase activity and subsequent risk of Cancer mortality: findings from a nested case-control study within the Japan collaborative cohort study. Asian Pac J Cancer Prev. 2009;10:69–73.PubMed Pham TM, Fujino Y, Nakachi K, Suzuki K, Ito Y, Watanabe Y, Inaba Y, Tajima K, Tamakoshi A, Yoshimura T, et al. Relationship between serum levels of superoxide dismutase activity and subsequent risk of Cancer mortality: findings from a nested case-control study within the Japan collaborative cohort study. Asian Pac J Cancer Prev. 2009;10:69–73.PubMed
16.
Zurück zum Zitat Masia M, Padilla S, Fernandez M, Rodriguez C, Moreno A, Oteo JA, Antela A, Moreno S, Del Amo J, Gutierrez F, et al. Oxidative stress predicts all-cause mortality in HIV-infected patients. PLoS One. 2016;11:e0153456.CrossRef Masia M, Padilla S, Fernandez M, Rodriguez C, Moreno A, Oteo JA, Antela A, Moreno S, Del Amo J, Gutierrez F, et al. Oxidative stress predicts all-cause mortality in HIV-infected patients. PLoS One. 2016;11:e0153456.CrossRef
17.
Zurück zum Zitat Radovanovic S, Savic-Radojevic A, Pljesa-Ercegovac M, Djukic T, Suvakov S, Krotin M, Simic DV, Matic M, Radojicic Z, Pekmezovic T, et al. Markers of oxidative damage and antioxidant enzyme activities as predictors of morbidity and mortality in patients with chronic heart failure. J Card Fail. 2012;18:493–501.CrossRef Radovanovic S, Savic-Radojevic A, Pljesa-Ercegovac M, Djukic T, Suvakov S, Krotin M, Simic DV, Matic M, Radojicic Z, Pekmezovic T, et al. Markers of oxidative damage and antioxidant enzyme activities as predictors of morbidity and mortality in patients with chronic heart failure. J Card Fail. 2012;18:493–501.CrossRef
18.
Zurück zum Zitat Didziapetriene J, Smailyte G, Bublevic J, Kazbariene B, Kasiulevicius V, Stukas R. Relationship of MDA plasma concentrations to long-term survival of breast cancer patients. Tumori. 2014;100:333–7.CrossRef Didziapetriene J, Smailyte G, Bublevic J, Kazbariene B, Kasiulevicius V, Stukas R. Relationship of MDA plasma concentrations to long-term survival of breast cancer patients. Tumori. 2014;100:333–7.CrossRef
19.
Zurück zum Zitat Zeng Y. Towards deeper research and better policy for healthy aging --using the unique data of Chinese longitudinal healthy longevity survey. China Economic J. 2012;5:131–49.CrossRef Zeng Y. Towards deeper research and better policy for healthy aging --using the unique data of Chinese longitudinal healthy longevity survey. China Economic J. 2012;5:131–49.CrossRef
20.
Zurück zum Zitat Zhang Y, Tang HR, Luo Y. Variation in antioxidant enzyme activities of two strawberry cultivars with short-term low temperature stress. World J Agric. Sci. 2008;4:458–68. Zhang Y, Tang HR, Luo Y. Variation in antioxidant enzyme activities of two strawberry cultivars with short-term low temperature stress. World J Agric. Sci. 2008;4:458–68.
21.
Zurück zum Zitat Draper HH, Squires EJ, Mahmoodi H, Wu J, Agarwal S, Hadley M. A comparative evaluation of thiobarbituric acid methods for the determination of malondialdehyde in biological materials. Free Radic Biol Med. 1993;15:353–63.CrossRef Draper HH, Squires EJ, Mahmoodi H, Wu J, Agarwal S, Hadley M. A comparative evaluation of thiobarbituric acid methods for the determination of malondialdehyde in biological materials. Free Radic Biol Med. 1993;15:353–63.CrossRef
22.
Zurück zum Zitat Ahmed OM, Ahmed RG, El-Gareib AW, El-Bakry AM, Abd El-Tawab SM. Effects of experimentally induced maternal hypothyroidism and hyperthyroidism on the development of rat offspring: II-the developmental pattern of neurons in relation to oxidative stress and antioxidant defense system. Int J Dev Neurosci. 2012;30:517–37.CrossRef Ahmed OM, Ahmed RG, El-Gareib AW, El-Bakry AM, Abd El-Tawab SM. Effects of experimentally induced maternal hypothyroidism and hyperthyroidism on the development of rat offspring: II-the developmental pattern of neurons in relation to oxidative stress and antioxidant defense system. Int J Dev Neurosci. 2012;30:517–37.CrossRef
23.
Zurück zum Zitat Hess KR. Graphical methods for assessing violations of the proportional hazards assumption in cox regression. Stat Med. 1995;14:1707–23.CrossRef Hess KR. Graphical methods for assessing violations of the proportional hazards assumption in cox regression. Stat Med. 1995;14:1707–23.CrossRef
24.
Zurück zum Zitat CDS. China Guideline for Type 2 diabetes. Chin J Diabetes. 2014;22:2–42. CDS. China Guideline for Type 2 diabetes. Chin J Diabetes. 2014;22:2–42.
25.
Zurück zum Zitat Joint Committee for Developing Chinese guidelines on Prevention and Treatment of Dyslipidemia in Adults. Chinese guidelines on prevention and treatment of dyslipidemia in adults (2016). Chinese Circulation Journal. 2016;31:937–53. Joint Committee for Developing Chinese guidelines on Prevention and Treatment of Dyslipidemia in Adults. Chinese guidelines on prevention and treatment of dyslipidemia in adults (2016). Chinese Circulation Journal. 2016;31:937–53.
26.
Zurück zum Zitat Yin ZX, Shi XM, Xu JW, Zhai Y, Liu YZ, Zeng Y. Level and effect factors of superoxide dismutase and malondialchehyche of the old people aged 90 and over in longevity regions, China. Zhonghua Yu Fang Yi Xue Za Zhi. 2010;44:123–7.PubMed Yin ZX, Shi XM, Xu JW, Zhai Y, Liu YZ, Zeng Y. Level and effect factors of superoxide dismutase and malondialchehyche of the old people aged 90 and over in longevity regions, China. Zhonghua Yu Fang Yi Xue Za Zhi. 2010;44:123–7.PubMed
27.
Zurück zum Zitat Katzman R, Zhang MY, Ouang Ya Q, Wang ZY, Liu WT, Yu E, Wong SC, Salmon DP, Grant I. A Chinese version of the mini-mental state examination; impact of illiteracy in a Shanghai dementia survey. J Clin Epidemiol. 1988;41:971–8.CrossRef Katzman R, Zhang MY, Ouang Ya Q, Wang ZY, Liu WT, Yu E, Wong SC, Salmon DP, Grant I. A Chinese version of the mini-mental state examination; impact of illiteracy in a Shanghai dementia survey. J Clin Epidemiol. 1988;41:971–8.CrossRef
28.
Zurück zum Zitat Zhao HW, Yin ZX. Association of cognitive function with superoxide dismutase and malondialdehyde in the oldest old. Chin. J. Health Lab. Technol. 2012;22:1940–4. Zhao HW, Yin ZX. Association of cognitive function with superoxide dismutase and malondialdehyde in the oldest old. Chin. J. Health Lab. Technol. 2012;22:1940–4.
29.
Zurück zum Zitat Bassuk SS, Rifai N, Ridker PM. High-sensitivity C-reactive protein: clinical importance. Curr Probl Cardiol. 2004;29:439–93.PubMed Bassuk SS, Rifai N, Ridker PM. High-sensitivity C-reactive protein: clinical importance. Curr Probl Cardiol. 2004;29:439–93.PubMed
30.
Zurück zum Zitat Pandey KB, Rizvi SI. Markers of oxidative stress in erythrocytes and plasma during aging in humans. Oxidative Med Cell Longev. 2010;3:2–12.CrossRef Pandey KB, Rizvi SI. Markers of oxidative stress in erythrocytes and plasma during aging in humans. Oxidative Med Cell Longev. 2010;3:2–12.CrossRef
31.
Zurück zum Zitat Magwere T, West M, Riyahi K, Murphy MP, Smith RA, Partridge L. The effects of exogenous antioxidants on lifespan and oxidative stress resistance in Drosophila melanogaster. Mech Ageing Dev. 2006;127:356–70.CrossRef Magwere T, West M, Riyahi K, Murphy MP, Smith RA, Partridge L. The effects of exogenous antioxidants on lifespan and oxidative stress resistance in Drosophila melanogaster. Mech Ageing Dev. 2006;127:356–70.CrossRef
32.
Zurück zum Zitat Flekac M, Skrha J, Hilgertova J, Lacinova Z, Jarolimkova M. Gene polymorphisms of superoxide dismutases and catalase in diabetes mellitus. BMC Med Genet. 2008;9:30.CrossRef Flekac M, Skrha J, Hilgertova J, Lacinova Z, Jarolimkova M. Gene polymorphisms of superoxide dismutases and catalase in diabetes mellitus. BMC Med Genet. 2008;9:30.CrossRef
33.
Zurück zum Zitat Soerensen M, Christensen K, Stevnsner T, Christiansen L. The Mn-superoxide dismutase single nucleotide polymorphism rs4880 and the glutathione peroxidase 1 single nucleotide polymorphism rs1050450 are associated with aging and longevity in the oldest old. Mech Ageing Dev. 2009;130:308–14.CrossRef Soerensen M, Christensen K, Stevnsner T, Christiansen L. The Mn-superoxide dismutase single nucleotide polymorphism rs4880 and the glutathione peroxidase 1 single nucleotide polymorphism rs1050450 are associated with aging and longevity in the oldest old. Mech Ageing Dev. 2009;130:308–14.CrossRef
34.
Zurück zum Zitat Otaki Y, Watanabe T, Nishiyama S, Takahashi H, Arimoto T, Shishido T, Miyamoto T, Konta T, Shibata Y, Sato H, et al. The impact of superoxide Dismutase-1 genetic variation on cardiovascular and all-cause mortality in a prospective cohort study: the Yamagata (Takahata) study. PLoS One. 2016;11:e0164732.CrossRef Otaki Y, Watanabe T, Nishiyama S, Takahashi H, Arimoto T, Shishido T, Miyamoto T, Konta T, Shibata Y, Sato H, et al. The impact of superoxide Dismutase-1 genetic variation on cardiovascular and all-cause mortality in a prospective cohort study: the Yamagata (Takahata) study. PLoS One. 2016;11:e0164732.CrossRef
35.
Zurück zum Zitat Saraymen R, Kilic E, Yazar S, Cetin M. Influence of sex and age on the activity of antioxidant enzymes of polymorphonuclear leukocytes in healthy subjects. Yonsei Med J. 2003;44:9–14.CrossRef Saraymen R, Kilic E, Yazar S, Cetin M. Influence of sex and age on the activity of antioxidant enzymes of polymorphonuclear leukocytes in healthy subjects. Yonsei Med J. 2003;44:9–14.CrossRef
36.
Zurück zum Zitat Bolzan AD, Bianchi MS, Bianchi NO. Superoxide dismutase, catalase and glutathione peroxidase activities in human blood: influence of sex, age and cigarette smoking. Clin Biochem. 1997;30:449–54.CrossRef Bolzan AD, Bianchi MS, Bianchi NO. Superoxide dismutase, catalase and glutathione peroxidase activities in human blood: influence of sex, age and cigarette smoking. Clin Biochem. 1997;30:449–54.CrossRef
37.
Zurück zum Zitat Arciero PJ, Goran MI, Poehlman ET. Resting metabolic-rate is lower in women than in men. J Appl Physiol. 1993;75:2514–20.CrossRef Arciero PJ, Goran MI, Poehlman ET. Resting metabolic-rate is lower in women than in men. J Appl Physiol. 1993;75:2514–20.CrossRef
38.
Zurück zum Zitat Kautzky WA. Sex and gender differences in endocrinology. In sex and gender aspects in clinical medicine (eds Oertelt-Prigione S, Regitz-Zagrosek V), pp 125–149. London, UK: Springer; 2012. Kautzky WA. Sex and gender differences in endocrinology. In sex and gender aspects in clinical medicine (eds Oertelt-Prigione S, Regitz-Zagrosek V), pp 125–149. London, UK: Springer; 2012.
39.
Zurück zum Zitat Lessel CE, Parkes TL, Dickinson J, Merritt TJS. Sex and Genetic Background Influence Superoxide Dismutase (cSOD)-Related Phenotypic Variation in Drosophila melanogaster. G3 (Bethesda). 2017;7:2651–64.CrossRef Lessel CE, Parkes TL, Dickinson J, Merritt TJS. Sex and Genetic Background Influence Superoxide Dismutase (cSOD)-Related Phenotypic Variation in Drosophila melanogaster. G3 (Bethesda). 2017;7:2651–64.CrossRef
40.
Zurück zum Zitat Ayala A, Munoz MF, Arguelles S. Lipid peroxidation: production, metabolism, and signaling mechanisms of malondialdehyde and 4-hydroxy-2-nonenal. Oxidative Med Cell Longev. 2014;2014:360438.CrossRef Ayala A, Munoz MF, Arguelles S. Lipid peroxidation: production, metabolism, and signaling mechanisms of malondialdehyde and 4-hydroxy-2-nonenal. Oxidative Med Cell Longev. 2014;2014:360438.CrossRef
41.
Zurück zum Zitat Shih LY, Liou TH, Chao JC, Kau HN, Wu YJ, Shieh MJ, Yeh CY, Han BC. Leptin, superoxide dismutase, and weight loss: initial leptin predicts weight loss. Obesity (Silver Spring). 2006;14:2184–92.CrossRef Shih LY, Liou TH, Chao JC, Kau HN, Wu YJ, Shieh MJ, Yeh CY, Han BC. Leptin, superoxide dismutase, and weight loss: initial leptin predicts weight loss. Obesity (Silver Spring). 2006;14:2184–92.CrossRef
Metadaten
Titel
Associations between superoxide dismutase, malondialdehyde and all-cause mortality in older adults: a community-based cohort study
verfasst von
Chen Mao
Jin-Qiu Yuan
Yue-Bin Lv
Xiang Gao
Zhao-Xue Yin
Virginia Byers Kraus
Jie-Si Luo
Choy-Lye Chei
David Bruce Matchar
Yi Zeng
Xiao-Ming Shi
Publikationsdatum
01.12.2019
Verlag
BioMed Central
Erschienen in
BMC Geriatrics / Ausgabe 1/2019
Elektronische ISSN: 1471-2318
DOI
https://doi.org/10.1186/s12877-019-1109-z

Weitere Artikel der Ausgabe 1/2019

BMC Geriatrics 1/2019 Zur Ausgabe

Leitlinien kompakt für die Innere Medizin

Mit medbee Pocketcards sicher entscheiden.

Seit 2022 gehört die medbee GmbH zum Springer Medizin Verlag

Update Innere Medizin

Bestellen Sie unseren Fach-Newsletter und bleiben Sie gut informiert.