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Published Online: 20 February 2018

Depressive Symptoms Are Associated With Color Vision but not Olfactory Function in Patients With Parkinson’s Disease

Publication: The Journal of Neuropsychiatry and Clinical Neurosciences

Abstract

Depressive symptoms and sensory dysfunction, such as reduction in visual and olfactory function, are common in Parkinson’s disease (PD). Previous studies have suggested that depressive symptoms are associated with visual impairments and potentially with hyposmia in several types of mood disorders. However, the relationship between depressive symptoms and sensory dysfunction remains unclear in PD. To examine the association of depressive symptoms with color vision and olfactory function in PD, the authors conducted a cross-sectional study in 159 patients with PD. Depressive symptoms were measured with the Beck Depression Inventory-II (BDI-II) and the 30-item Geriatric Depression Scale (GDS-30); color vision was tested with the Farnsworth-Munsell 100 Hue Test (FMT); and olfactory function was tested with the Sniffin’ Sticks Screening 12 Test. Results showed that the total error score (TES) for the FMT was significantly and independently correlated with scores on both the BDI-II and GDS-30 in a positive manner, suggesting that more severe depressive symptoms are associated with poorer color vision in PD. In addition, both somatic and effective subscores for the BDI-II were correlated with the TES on the FMT, while no significant correlation was observed between total scores on the Sniffin’ Sticks Screening 12 Test and BDI-II or GDS-30. The decrease in color vision but not olfactory function was found to be associated with the severity of depressive symptoms in PD patients, supporting the idea that the occurrence of depressive symptoms in PD is linked with disruption of the visual system.
Depressive symptoms are common in Parkinson’s disease (PD) and significantly affect patients’ quality of life.1 The average prevalence of depression in PD was found to be approximately 40%.2 A study conducted by the Global Parkinson’s Disease Survey Steering Committee showed that depressive symptoms accounted for 53% of the variance in scores on the 39-item Parkinson’s Disease Quality of Life Questionnaire, which was even greater than cardinal motor features.3 However, the mechanism underlying depressive symptoms in PD has not yet been fully elucidated.4
Visual impairment and olfactory dysfunction have also been widely reported in patients with PD5,6. In one study, about 78% of patients with PD reported at least one vision deficiency,5 and the estimated prevalence of olfactory deficiency in PD was as high as 90%.7 Previous research on major depressive disorder has suggested that the severity of depressive symptoms is correlated with the visual system in several aspects.810 In addition, several studies reported that older individuals with visual impairment had a higher prevalence of depression compared with their peers with normal vision.11,12 Over 60% of women with endogenous depression showed disturbed color vision in a previous study.13 Meanwhile, therapeutic effects of light exposure to eyes were reported in several kinds of depression1418. These studies suggest that the visual system is crucial in the onset of depression. However, it is still unclear whether the occurrence of depressive symptoms in PD is related to visual impairment.
Olfaction was also reported to be linked with brain regions regulating emotion.19 Some researchers have considered olfactory dysfunction to be an early indicator of various neuropsychiatric disorders.2022 However, the relationship between depressive symptoms and olfactory dysfunction remains controversial at present. In previous research, olfactory function was reported to be either reduced,23,24 increased,25,26 or unchanged2729 in patients with depression compared with healthy control subjects. There have been few studies of the relationship between olfactory deficits and depressive symptoms in patients with PD, and results have been inconsistent,3033 similar to research on patients with depression.2329 Thus, the association between depressive symptoms and olfaction in PD is still an open question that needs to be further investigated.
In the present study, we assessed the association between depressive symptoms and two sensory functions—color vision and olfactory function—in PD patients.

Methods

The study was approved by the Ethics Committee of Huashan Hospital. All participants provided informed consent for study participation.
Participants with PD were recruited from the clinic in the Department of Neurology at Huashan Hospital, Fudan University.All participants were without a past history of brain or eye surgery. Motor disability was evaluated by using the Unified Parkinson’s Disease Rating Scale (UPDRS-III) and staged by using the Hoehn and Yahr scale34 during the “off” period, defined as being off antiparkinsonian medication at least 12 hours prior to study assessment.
Cognition was evaluated with the Mini-Mental State Examination (MMSE). Patients with an MMSE score below 24 were regarded as possibly being demented and were excluded from the study.35 All participants were surveyed about their history of treatment with psychotropic medications, and individuals who had received such treatment within 6 months prior to the start of the study were excluded. For color vision testing, individuals who had the following issues were also excluded: 1) symptomatic cataracts, history of glaucoma, retinopathy, or other ocular diseases; and 2) ongoing treatment with medications that affect color vision, such as digitalis, antiepileptic drugs, and antituberculosis drugs.
Depressive symptoms were evaluated by using the Beck Depression Inventory-II (BDI-II)36 and the 30-item Geriatric Depression Scale (GDS-30).37 The BDI-II is a 21-item self-report assessment of depressive symptoms.36 Previous studies have suggested that the BDI-II can be divided into several subdomains.3841 In the present study, scores on items 1–13 (mood, pessimism, sense of failure, lack of satisfaction, guilty feeling, sense of punishment, self-hate, self-accusations, suicidal ideas, crying spells, irritability, social withdrawal, indecisiveness) were summed to calculate the cognitive/affective score of BDI. Items 14–21 (worthlessness, work inhibition, sleep disturbance, fatigability, loss of appetite, weight loss, somatic preoccupation, loss of libido) were summed to calculate the somatic symptom score.42
The Farnsworth-Munsell 100 Hue Test (FMT) was used to measure color vision. In this assessment, participants were asked to arrange a series of colored disks in sequence between two reference disks, using binocular vision. The total error score (TES) on the FMT was calculated as described previously.43 The room in which the test was performed was illuminated by a daylight lamp (Biolux, Osram, 6500K). The tests were conducted without time restrictions.
Olfactory function was assessed with the Sniffin’ Sticks Screening 12 Test.44,45 In this assessment, pen-like sticks were placed approximately 2 cm in front of the participant’s nostrils. The participant then was asked to sniff the odorant with both nostrils for 4–5 seconds and select the odor smelled from among four options. Each odor presentation was undertaken no sooner than 20 seconds after the one preceding it. The number of correct odor identifications on the Sniffin’ Sticks Screening 12 Test made by each participant was used as his or her odor identification score, with scores ranging from 0 to 12.
Associations were assessed using Spearman’s rank correlation with an alpha set at 0.05. The manual backward deletion method was used to remove the independent variables that were not significant in the multiple linear analysis (p>0.05). In order to ensure that the correlations were not solely attributable to the effects of demographic variables and nondepressive symptoms in PD, all demographic and other explanatory clinical variables were added to the multiple linear regression model. All statistical analyses were conducted with R software, version 3.31 (The R Foundation, Vienna, Austria).

Results

Descriptive Analysis

The final study sample comprised 159 individuals with idiopathic PD. Descriptive statistics for demographic variables, clinical characteristics, depression scale scores, color vision assessment, and olfactory function are summarized in Table 1. With respect to Hoehn and Yahr staging, 84 participants were ≤2 and the remaining 75 participants were ≥3.
TABLE 1. Sample Characteristics and Scale Scores of Parkinson’s Disease (PD) Patientsa
ItemMeanMedianStandard DeviationInterquartile Range
Characteristic    
Gender (% male)53.5   
Education (years)11.812.03.59.0–15.0
Age (years)57.761.011.049.0–66.0
Disease duration (months)76.86157.934.5–103.5
Hoehn and Yahr stage2.42.00.82.0–3.0
Levodopa dose equivalence (mg/day)521.7400.0397.4250.2–675.6
Measure    
 MMSE score27.928.01.627.0–29.0
 UPDRS motor score (off states)35.235.013.026.0–43.0
 BDI-II total score12.311.08.85.0–17.0
 BDI-II effective score6.25.05.52.0–9.0
 BDI-II somatic score6.26.04.13.0–8.5
 GDS-30 total score11.610.07.56.0–18.0
 Odor identification score5.05.02.44.0–7.0
 TES of FMT121.4112.058.776.0–162.0
a
Abbreviations: BDI-II=Beck Depression Inventory-II; FMT=Farnsworth-Munsell 100 Hue Test; GDS-30=30-item Geriatric Depression Scale; MMSE=Mini-Mental State Examination; TES=total error score; UPDRS=Unified Parkinson’s Disease Rating Scale.
The average total BDI-II score was 12.3, and clinically significant depression was observed in 45 patients (28.3%). These patients were evaluated with the BDI-II by using the highly specific cut-off score of 17, which is reported as providing 81% sensitivity and 79% specificity for depression.46 Depressive symptoms were also measured with the 30-item GDS. The mean GDS total score was 11.6, with a score greater than 11 considered as possible depression.47,48 Forty-six (28.9%) participants were considered to have mild-to-moderate depression, measured with the GDS scale (score between 11 and 20), and 31 participants (19.4%) were considered to have moderate-to-severe depression (score >20).47
The average TES on the FMT was 121.4. The average odor identification score was 5.0.

Correlation Analysis

Spearman’s correlation coefficient analyses were performed to test the hypothesis that the severity of depressive symptoms was associated with color vision in PD patients. The BDI-II total score correlated with the TES on the FMT (r=0.229, p<0.01) (Figure 1A). The total score on the GDS-30 also correlated with the TES on the FMT (r=0.309, p<0.001) (Figure 1B).
FIGURE 1. Depressive Symptoms Associated With Color Vision in Parkinson’s Disease (PD) Patientsa
a A) Beck Depression Inventory-II (BDI-II) total score compared with the total error score (TES) on the Farnsworth-Munsell 100 Hue Test (FMT). B) The 30-item Geriatric Depression Scale (GDS-30) total score compared with the TES on the FMT. C) Somatic subscore on the BDI-II compared with the TES on the FMT. D) Effective subscore on the BDI-II compared with the TES on the FMT. Linear regression (black lines) and 95% confidence intervals are shown (dark gray area).
After classifying item-level BDI-II data into the aforementioned subdomains (cognitive/affective and somatic), the two BDI-II subdomain scores were correlated with the TES on the FMT (somatic subscore, r=0.291, p<0.001 [Figure 1C]; cognitive/affective subscore, r=0.178, p<0.05 [Figure 1 D]).
Spearman’s rank correlation coefficients were calculated between the two depressive subdomain scores and the odor identification score. Odor identification score and the BDI-II total score were not correlated significantly (r=−0.068, p=0.392) (Figure 2A). The GDS-30 also was not correlated significantly with the odor identification score (r=−0.053, p=0.507) (Figure 2B). Additionally, neither of the two subscores for the BDI-II correlated significantly with the odor identification score (somatic subscore, r=−0.090, p=0.261 [Figure 2C]; cognitive/affective subscore, r=−0.086, p=0.284 [Figure 2D]).
FIGURE 2. Depressive Symptoms Not Associated With Olfactory Function in Parkinson’s Disease (PD) Patientsa
a A) Beck Depression Inventory-II (BDI-II) total score compared with odor identification test score. B) The 30-item Geriatric Depression Scale (GDS-30) total score compared with the total error score (TES) on the odor identification test. C) Somatic subscore on the BDI-II compared with the odor identification test score. D) Effective subscore on the BDI-II compared with the odor identification test score. Linear regression (black lines) and 95% confidence intervals are shown (dark gray area).
Demographic and other clinical characteristics were included in the correlational analysis (Table 2). In addition to the TES on the FMT, the total score on the BDI-II was also significantly and positively correlated with Hoehn and Yahr staging (r=0.402, p<0.001), UPDRS-III during off states (r=0.284, p<0.001), and the levodopa dose equivalent (r=0.288, p<0.001) and inversely related to years of education (r=−0.215, p<0.01).
TABLE 2. Spearman’s Correlation Matrix of Demographic and Clinical Characteristics, Depression Scale, Color Vision, and Olfactory Functiona
ItemDisease Duration (Months)Education (Years)H&YMMSEUPDRS-III (Off States)LDEBDI-II Total ScoreBDI-II Effective SymptomsBDI-II Somatic SymptomsGDS-30 Total ScoreTES on the FMTOdor Identification
Age (years)0.1340.0850.119–0.0100.148–0.024–0.019–0.1460.137–0.0050.226**–0.222**
Disease duration (months) 0.0030.555***–0.210**0.523***0.479***0.1500.197*0.158*0.168*0.288***–0.205**
Education (years)  –0.1060.235**–0.047–0.145–0.215**–0.222**–0.178*–0.233**–0.170*0.063
Measure            
 Hoehn and Yahr   –0.299***0.633***0.517***0.402***0.389***0.416***0.422***0.278***–0.158*
 MMSE    –0.241**–0.237**–0.103–0.086–0.144–0.183*–0.304***0.138
 UPDRS-III (off states)     0.382***0.284***0.210**0.349***0.333***0.360***–0.110
 LDE      0.288***0.293***0.285***0.277***0.356***–0.111
 BDI-II total score       0.918***0.888***0.804***0.229**–0.068
 BDI-II effective        0.690***0.785***0.178*–0.090
 BDI-II somatic         0.742***0.291***–0.086
 GDS-30 total score          0.309***–0.053
 TES of FMT           –0.291***
a
The data represent Spearman’s rank correlation coefficients. Abbreviations: BDI-II=Beck Depression Inventory-II; FMT=Farnsworth-Munsell 100 Hue Test; GDS-30=30-item Geriatric Depression Scale; H&Y=Hoehn and Yahr; LDE=levodopa dose equivalent (mg/day); MMSE=Mini-Mental State Examination; TES=total error score; UPDRS=Unified Parkinson’s Disease Rating Scale.
*
p<0.05. **p<0.01. ***p<0.001.
For the GDS, the total score on the GDS was also correlated with years of education (r=−0.233, p<0.01), Hoehn and Yahr staging (r=0.422, p<0.001), UPDRS motor part (off states, r=0.333, p<0.001), and the levodopa dose equivalent (r=0.277, p<0.001), which was the same as the total score for the BDI-II. Additionally, the GDS total score was also correlated positively with disease duration (r=0.168, p<0.05) and inversely with the MMSE (r=−0.183, p<0.05), although it should be noted that none of the participants met the criterion for dementia.

Multiple Regression Analysis

The variables that were significantly correlated with BDI-II—education, Hoehn and Yahr staging, levodopa dose equivalents, UPDRS motor score on/off states, TES on the FMT, and odor identification score—were entered into the regression model with the BDI-II total score as the dependent variable. The BDI-II total score showed significantly independent associations with Hoehn and Yahr staging and the TES on the FMT. This multiple regression model, after controlling for age and gender on the BDI-II, was able to account for about 23% of the BDI-II score (Table 3).
TABLE 3. Multiple Linear Regression Model (Controlled for Age and Gender) With the Beck Depression Inventory-II (BDI-II) Total Score as a Dependent Variablea
Significant Independent VariablebB95% Clβp
Age (years)–0.120–0.236 to –0.005–0.151<0.05
Genderc0.354–2.270 to 2.9010.0200.785
Hoehn and Yahr scale3.6342.069 to 5.1990.345<0.001
TES of FMT0.0440.022 to 0.0660.294<0.001
a
The data were determined by using backward manual deletion. (Adjusted r2=0.229; F=12.68, df=4, 153, p<0.001.) Abbreviations: FMT=Farnsworth-Munsell 100 Hue Test; TES=total error score.
b
Independent variables included in the analysis are as follows: education; Hoehn and Yahr staging; levodopa dose equivalence; Unified Parkinson’s Disease Rating Scale motor score (off states); TES on the FMT; odor identification score.
c
Gender ratio: male=1, female=0.
Variables that were significantly correlated with the GDS-30, including education, disease duration, Hoehn and Yahr staging, levodopa dose equivalent, MMSE, UPDRS motor score on off states, TES on the FMT, and odor identification score, were also entered into the multiple regression model with the GDS total score as the dependent variable. The GDS total score showed significant independent associations only with Hoehn and Yahr staging, TES on the FMT, and disease duration. After adjusting for age and gender, the beta-weight of the TES on the FMT was 0.240 (p<0.001) (Table 4).
TABLE 4. Multiple Linear Regression Model (Controlled for Age and Gender) With the 30-Item Geriatric Depression Scale (GDS-30) Total Score as a Dependent Variablea
Significant Independent VariablebB95% Clβp
Age (years)–0.078–0.175 to –0.020–0.1150.113
Genderc0.478–1.674 to 2.6320.0290.692
Disease duration (months)–0.023–0.043 to –0.002–0.172<0.05
Hoehn and Yahr staging4.1452.700 to 5.5920.462<0.001
TES of FMT0.0340.016 to 0.0540.269<0.001
a
The data were determined by using backward manual deletion. (Adjusted r2=0.229; F=10.95, df=5, 153, p<0.001.) Abbreviations: FMT, Farnsworth-Munsell 100 Hue Test; TES=total error score.
b
Independent variables included in the analysis are as follows: education, disease duration, Hoehn and Yahr staging, levodopa dose equivalence, Mini-Mental State Examination, Unified Parkinson’s Disease Rating Scale motor score (off states), TES of FMT, odor identification score.
c
Gender ratio: male=1, female=0.

Discussion

In the present study, we investigated whether there was an association between depressive symptoms and sensory dysfunction in PD patients. On the basis of our results, both the BDI-II and GDS-30 total scores were significantly correlated with the TES on the FMT in a positive manner. These results suggest that more severe depressive symptoms are correlated with poorer color vision in PD patients. However, there was no significant correlation observed between depressive symptoms and olfactory function measured with the odor discrimination test. To our knowledge, this is the first study to explore the association between depressive symptoms and visual function in PD patients. Our findings suggest that the decrease in color vision but not olfactory function is paralleled with the severity of depressive symptoms in PD patients, supporting the hypothesis that occurrences of depressive symptoms were linked with the vision system in PD.
Previous studies on major depressive disorder have suggested that dysfunction of the visual system is linked with depressive symptoms in several aspects. For example, Bubl and colleagues49 reported a reduction in contrast discrimination performance and a decrease in pattern-electroretinogram-based contrast gain in patients with depression.50 Another study showed disturbed color vision in 63% of women with depression.13 In addition, several studies have reported visual impairment to be correlated with depressive symptoms in elderly individuals.5153 A longitudinal study of elderly adults also showed that visual dysfunction can be a strong predictor of both the onset and persistence of depression in older persons.54
Light therapy has been shown to be an effective treatment for depressed patients with PD55,56 and depressive-related disorders.1418 One study showed that the antidepressive effect was much greater when light was applied to the eyes compared with the skin.57 A 4-week study of light therapy found that light therapy could significantly increase visual contrast sensitivity in patients with seasonal affective disorder.58 This evidence supports the idea that the visual system plays an important role in the development of depression in non-PD adults. Consistent with these results, our study provided evidence that the functional link between the visual system and depressive symptoms found in non-PD depressive disorders also existed in PD patients. Therefore, all these results may indicate that the occurrence of depressive symptoms in PD may share some etiologic mechanism with other depressive disorders that is potentially mediated by the visual system. There is a hypothesis that the occurrences of depressive symptoms may result from less sensitivity to environmental light,59 which might be caused by abnormalities in the rods, cones, or other light-sensitive cells of the retina.59,60 On the other hand, a recent study reported that atrophy of the occipital cortex was correlated with depressive symptoms in PD patients, suggesting that the visual cortex can also be an underlying site accounting for this association.61 Further research will be needed to clarify this issue.
The results from previous studies of olfactory function in depressed psychiatric patients have been inconsistent. Some researchers have reported a decrease in olfactory performance in patients;23,24 however, other researchers have reported that olfactory discrimination ability in depressed patients is unchanged,2729 or even increased.25,26 This inconsistency also exists in the research on PD patients. One study reported that higher BDI scores were associated with worse performance on the University of Pennsylvania Smell Identification Test (UPSIT).33 However, the presence of comorbid depression in PD did not affect the olfactory function examined with the Sniffin’ Sticks Screening 12 Test in a study conducted by Rossi and colleagues.31 Another study using the UPSIT also suggested that there was no significant association between olfactory dysfunction and depressive symptoms in PD,32 which is in line with the results of the present study.
There are some notable limitations of our study that need to be addressed. First, despite being evaluated by two depression scales, depressive symptoms were all self-rated, and the participants lacked a diagnosis for mood disorder. Second, examination of fundus and other visual functional tests, such as visual acuity, were not performed. Third, the cross-sectional design of our study renders it impossible to evaluate for a causal association between color vision and depression. Longitudinal data are needed to further understand the causal and temporal relations between loss of color vision and depression in PD.
In conclusion, our results demonstrated that depressive symptoms are associated with color vision but not olfactory function in PD. These results suggest that the visual system may play an be importantly related to the development of depressive symptoms in PD.

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Information & Authors

Information

Published In

Go to The Journal of Neuropsychiatry and Clinical Neurosciences
Go to The Journal of Neuropsychiatry and Clinical Neurosciences
The Journal of Neuropsychiatry and Clinical Neurosciences
Pages: 122 - 129
PubMed: 29458280

History

Received: 19 March 2017
Revision received: 15 July 2017
Accepted: 8 September 2017
Published online: 20 February 2018
Published in print: Spring 2018

Keywords

  1. depressive symptoms
  2. color vision
  3. olfaction
  4. Parkinson’s disease

Authors

Details

Da-Ke Li, Ph.D.
From the Department of Neurology and National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China (D-KL, F-TL, KC, L-LB, KY, CC, Z-YL, Y-LT, JZ, Y-MS, JW, J-JW).
Feng-Tao Liu, M.D.
From the Department of Neurology and National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China (D-KL, F-TL, KC, L-LB, KY, CC, Z-YL, Y-LT, JZ, Y-MS, JW, J-JW).
Kui Chen, M.D.
From the Department of Neurology and National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China (D-KL, F-TL, KC, L-LB, KY, CC, Z-YL, Y-LT, JZ, Y-MS, JW, J-JW).
Lu-Lu Bu, Ph.D.
From the Department of Neurology and National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China (D-KL, F-TL, KC, L-LB, KY, CC, Z-YL, Y-LT, JZ, Y-MS, JW, J-JW).
Ke Yang, M.D.
From the Department of Neurology and National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China (D-KL, F-TL, KC, L-LB, KY, CC, Z-YL, Y-LT, JZ, Y-MS, JW, J-JW).
Chen Chen, M.D.
From the Department of Neurology and National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China (D-KL, F-TL, KC, L-LB, KY, CC, Z-YL, Y-LT, JZ, Y-MS, JW, J-JW).
Zhen-Yang Liu, M.D.
From the Department of Neurology and National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China (D-KL, F-TL, KC, L-LB, KY, CC, Z-YL, Y-LT, JZ, Y-MS, JW, J-JW).
Yi-Lin Tang, M.D.
From the Department of Neurology and National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China (D-KL, F-TL, KC, L-LB, KY, CC, Z-YL, Y-LT, JZ, Y-MS, JW, J-JW).
Jue Zhao, M.D.
From the Department of Neurology and National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China (D-KL, F-TL, KC, L-LB, KY, CC, Z-YL, Y-LT, JZ, Y-MS, JW, J-JW).
Yi-Min Sun, Ph.D.
From the Department of Neurology and National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China (D-KL, F-TL, KC, L-LB, KY, CC, Z-YL, Y-LT, JZ, Y-MS, JW, J-JW).
Jian Wang, Ph.D., M.D. [email protected]
From the Department of Neurology and National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China (D-KL, F-TL, KC, L-LB, KY, CC, Z-YL, Y-LT, JZ, Y-MS, JW, J-JW).
Jian-Jun Wu, Ph.D., M.D. [email protected]
From the Department of Neurology and National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China (D-KL, F-TL, KC, L-LB, KY, CC, Z-YL, Y-LT, JZ, Y-MS, JW, J-JW).

Notes

Send correspondence to Dr. Wang; email: [email protected] or Dr. Wu; email: [email protected]

Competing Interests

The authors report no financial relationships with commercial interests.

Funding Information

National Natural Science Foundation of China10.13039/501100001809: 81371413, 81401048, 81571232
Science and Technology Commission of Shanghai Municipality10.13039/501100003399: 15ZR1435800, JA2015-Z002
Ministry of Science and technology of China: 2016YFC1306500
Supported by grants from the National Natural Science Foundation of China (grants 81571232, 81401048, 81371413), the Ministry of Science and technology of China (grants 2016YFC1306500), and the Science and Technology Commission of Shanghai Municipality (grants 15ZR1435800, JA2015-Z002) (to Drs. Wang, Sun, and Wu).

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