Next Article in Journal
Personality, Risk Perceptions, and Health Behaviors: A Two-Wave Study on Reciprocal Relations in Adults
Previous Article in Journal
The Influence Mechanism of Political Skill on Safety Voice Behavior in High-Risk Industries: The Mediating Role of Voice Efficacy
Previous Article in Special Issue
Effects of Salicylic Acid on Heavy Metal Resistance in Eukaryotic Algae and Its Mechanisms
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Inhibitory Effects of Antipsychotic Chlorpromazine on the Survival, Reproduction and Population Growth Other Than Neurotransmitters of Zooplankton in Light of Global Warming

1
School of Ecology and Environment, Anhui Normal University, Wuhu 241002, China
2
Collaborative Innovation Center of Recovery and Reconstruction of Degraded Ecosystem in Wanjiang Basin Co-Founded by Anhui Province and Ministry of Education, Wuhu 241002, China
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(23), 16167; https://doi.org/10.3390/ijerph192316167
Submission received: 12 October 2022 / Revised: 17 November 2022 / Accepted: 30 November 2022 / Published: 2 December 2022

Abstract

:
Global warming and environmental pollution have created a unique combination of abiotic and biotic stresses to zooplankton. However, little information is available on the effects of antipsychotic drugs commonly used to treat psychosis, such as chlorpromazine (CPZ), on non-target aquatic organisms in light of global warming. This study investigated how dopamine concentrations (DAC), acute toxicity and chronic toxicity of Brachionus calyciflorus changed in response to CPZ and gradually increasing temperatures. The results showed that the concentration range of rotifer DAC was 1.06~2.51 ng/g. At 18, 25 and 32 °C, the 24 h LC50 was 1.795, 1.242 and 0.833 mg/L, respectively. Compared to the control, exposure to CPZ significantly decreased life expectancy at hatching, the net reproduction rate, generation time, population growth rate and dopamine concentration of B. calyciflorus in all three temperatures (p < 0.05). The toxicity of CPZ to rotifers was increased by high temperature. These findings indicated that CPZ is highly toxic to rotifers, displaying high ecological risks to aquatic ecosystems.

Graphical Abstract

1. Introduction

Psychoactive substances (PSs) can alter mental functions such as thinking, emotion, and volitional action after being absorbed into the human body. With the increasing number of those suffering from mental illness and the global illicit drug trade, the demand for and use of PSs has risen rapidly in the last decade, and PS misuse has progressively become a global issue [1]. The unmetabolized PS products and inactive prodrugs enter municipal pipes with household wastewater after daily use [2]; however, these substances are not completely removed in the wastewater treatment plant (WWTPs), as some PSs and their metabolites are still released into natural water bodies, where they are deposited in sediments and accumulated in aquatic organisms, negatively influencing their behavior and the stability of aquatic ecosystems [3,4]. Currently, PSs have emerged as novel environmental pollutants with ecotoxic effects that have been discovered in a variety of aquatic environments, attracting significant attention [5].
Chlorpromazine (CPZ) is a low-cost phenothiazine psychoactive substance. As a first-generation antipsychotic, CPZ is commonly used to treat psychotic disorders such as delusions, hallucinations, mania, schizophrenia, and thinking disorders in humans [6]. CPZ reduces brain dopamine (DA) by inhibiting postsynaptic dopamine receptors (DARs) in the cerebral cortex and limbic regions, which would reduce psychotic symptoms such as delusions and hallucinations [7]. In addition, to its antipsychotic effects, CPZ has been considered among the most promising agents for inhibiting coronaviruses in humans (e.g., MERS-CoV and SARS-CoV-1) [8,9]. Based on the above findings, the hypothesis that CPZ could reduce the unfavorable evolution of COVID-19 and the infectivity of SARS-CoV-2 will be tested by a French team. It seems that inhibition of clathrin-mediated endocytosis is a critical factor in antiviral activity [10]. After 70 years of use and more than 25 years of research on residual drugs and their derivatives in the environment, CPZ is safe for everyday human use, but toxicological effects on aquatic organisms have also been reported for several non-target organisms, such as aquatic invertebrates [11,12], macrophytes [13], and fish [14]. Additionally, CPZ has been reported in various water bodies at concentrations ranging from 1 to 364 ng/L [15,16]. Even at trace levels, the unintentional presence of CPZ in aquatic ecosystems can cause devastating damage to organisms [17].
In the past decade, scholars have emphasized that climate change poses a direct or indirect threat to mental health [18,19]. Short-term extreme weather, long-term temperature rise and other climate changes caused by human activities are related to the deterioration of mental health, which inevitably increases the use of antipsychotics [20,21,22]. Generally, temperature affects the distribution and toxicity of environmental chemicals in water [23]. Convincing evidence shows that the increase in temperature due to global warming may cause irreversible damage to wildlife exposed to pollutants [24]. The rising water temperature may change the biological transformation of pollutants to more bioactive metabolites and impair homeostasis. Some researchers found that the toxicity of endosulfan to Oncorhynchus mykiss depends on temperature [25]. It was previously reported that the toxicity of chemicals all increased with higher temperature, such as pentachlorobenzene, parathion and chlorpyrifos to Chironomus tentans [26], fungicide chlorothalonil and insecticide Scourge® to the estuarine grass shrimp Palaemonetes pugio [27]. However, the effects of increased temperature in light of global warming on the toxicity of antipsychotic drugs on zooplankton remain a daunting challenge.
Zooplankton occurs widely in freshwater ecosystems and is often used as a bioindicator to evaluate the potential health risks of exposure to trace elements and toxic chemical compounds [28,29]. Although Daphnia magna is among the most widely used zooplankton species in ecotoxicology, little is known about the toxicity of CPZ to this model system. It was found that the 48 h EC50 of CPZ was 1.805 mg/L in D. magna [30], and its testing in toxicity assessment of another antipsychotic carbamazepine was reported [31]. Rotifers, especially Brachionus calyciflorus, B. plicatilis and B. havanaensis, have been widely used for toxicity assessment as model organisms because of their small size, ease of culture, rapid reproduction rate, and sensitivity to toxicity [32,33]. Additionally, the rotifer B. calyciflorus has a parthenogenetic reproduction mode, which provides a basis for us to test individuals with the same genetics [34]. Considering its higher sensitivity to drugs than other invertebrates, B. calyciflorus has been widely utilized to assess the potential toxicity of pharmaceuticals and their metabolites [35]; however, the toxic effects of CPZ remain poorly understood in rotifers.
We looked at the effects of CPZ on the neurotransmitter DA of B. calyciflorus as well as its life history and population growth parameters at high temperatures. The current study aims to (1) test the acute toxicity of CPZ to rotifers at different temperatures; (2) further understand the response of neurotransmitter DA in rotifers to CPZ toxicity at higher temperature; (3) determine the chronic effects of sublethal CPZ concentrations on rotifer development and reproduction at higher temperatures. The current investigation will reveal the toxic effects of CPZ on freshwater invertebrates in a systematic manner, which is critical for a comprehensive assessment of the environmental risk of antipsychotics to aquatic ecosystems.

2. Materials and Methods

2.1. Experimental Animals

Monoclonal cultures of B. calyciflorus were hatched from a single resting egg collected from the sediments of Lake Longwo (31°15′ N; 118°17′ E) in Wuhu city [36], and were identified morphologically and molecularly using a barcode (mitochondria COI sequence) as a biomarker [37]. Rotifers were cultured in EPA medium [38] at 25 °C with a 16:8 h (L:D) photoperiod and 1300 lx light intensity. Rotifers were fed Tetradesmus obliquus (Institute of Hydrobiology, Chinese Academy of Science, Wuhan, China) at a food density of 1.5 × 106 cells/mL. Algae were grown in semi-continuous culture using HB-4 medium [39]. Rotifers were acclimated to temperatures of 18, 25 and 32 °C for over a week prior to the experiments to reduce interference from maternal effects [37].

2.2. Experimental Chemicals

Chlorpromazine hydrochloride (CAS: 69-09-0) was purchased from Sangon Biotech (Shanghai, China) with 98% of purity. The degradation of CPZ in the dark at room temperature was almost negligible: the half-life was estimated as 87.3 weeks. Meanwhile, the half-life of CPZ in darkness at 70 °C has been calculated as 4.55 weeks [40]. A stock solution of 5 mg/L was prepared by dissolving with distilled water to the desired concentration. We prepared new test solutions every 24 h to avoid contamination and light. All of the other reagents used were analytically pure.

2.3. Acute Toxicity Experiment

For acute toxicity assessment, seven concentrations (0 (control), 0.8, 1.2, 1.6, 2.0, 2.4, 2.8 and 3.2 mg/L) were included for each temperature (18, 25 and 32 °C). Ten rotifer juveniles (<4 h old) were chosen at random and placed in a glass jar containing 5 mL of test solution. Four replicates were performed for each treatment. Rotifers were cultured under darkness with 1.5 × 106 cells/mL of T. obliquus. The number of dead rotifers was counted after 24 h, and the LC50 was calculated using the Probit method [41].

2.4. Determination of DA Concentration

To explore the effects of CPZ on B. calyciflorus neurotransmitters in light of global warming, we set up groups of 0, 0.125, 0.25 and 0.5 mg/L CPZ treatments based on 24 h LC50, and measured changes in DA concentration (DAC). First, rotifers pre-cultured at 18, 25 and 32 °C were collected in three 2000 mL glass beakers according to temperature, and then rotifers in each temperature group were equally distributed to twelve 50 mL glass beakers. Each beaker held approximately 8000 rotifers and 50 mL of test solution. These beakers were kept at temperatures of 18, 25 and 32 °C for 12 h, with no food provided during this period. The rotifers were harvested by filtration through a 25 µm pore-sized mesh in a cryovial (washed with EPA medium and made up to 5 mL), rapidly frozen with liquid nitrogen and then stored at −80 °C for determination of DA levels. Each treatment was carried out three times.
Rotifers were homogenized for 10 min at 4 °C using a Bullet Blender Tissue Homogenizer (Next Advance, New York, NY, USA) at 2.0 m/s. The mixtures were then centrifuged at 3000× g for 10 min at room temperature. The supernatant was collected and subjected to assessment concentration using ELISA kits produced by Shanghai Elisa Biotech Co., Ltd. (Shanghai, China), following the manufacturer’s specifications. In brief, the DA level was determined using an enzyme-linked immunosorbent assay, and the absorbance at 450 nm was measured with an RT-6100 enzyme-labeled instrument (Rayto, Shenzhen, China).

2.5. Life Table Experiment

For the life table experiments, four CPZ concentrations (0 (control), 0.125, 0.25 and 0.5 mg/L) and three temperatures (18, 25 and 32 °C) were tested based on the 24 h LC50. Each treatment was replicated three times. In total, 36 glass jars (three temperatures × four CPZ concentrations × three replicates) were used. The experiment was conducted in 8 mL glass jars. For each glass jar, ten juveniles (<4 h old) were introduced to a 5 mL test solution containing 1.5 × 106 cells/mL of T. obliquus. Every 24 h, 80% of the test solutions were replaced with freshly prepared solutions containing designated concentrations of algae. The cultured rotifers were checked every 12 h to record the numbers of neonates and dead individuals which were removed until all the experimental animals died.
Based on the data collected, age-specific survival (lx) and age-specific fecundity (mx) were calculated by using the conventional life table technique [42]. To drive the life table variables, including life expectancy (e0), generation time (T), net reproduction rate (R0) and intrinsic rate of population increase (rm) were calculated according to Krebs [43].

2.6. Population Growth Experiment

The temperature and CPZ concentration settings are the same as in Section 2.5. The experiments were carried out in 15 mL transparent test tubes, with 20 juveniles (<4 h old, hatched from amictic eggs under precultured conditions) placed in each test tube containing 10 mL test solution with 1.5 × 106 cells/mL of T. obliquus. Each treatment was replicated three times. During the experimental, the number of live individuals in each replicate (using a whole sample count or 1~3 mL depending on population density) was counted daily and transferred into a freshly prepared test solution. T. obliquus deposited at the bottom of each test tube was resuspended with a micropipette every 12 h. The experiments were terminated when the population density peaked and continued to decline for 2~3 days.
The population growth rate (r) of the rotifers was calculated as follows:
r = (ln Nt − ln N0)/t
where t is the culture day in which the rotifer density was the highest, and N0 and Nt are the initial and highest rotifer densities, respectively [44].

2.7. Statistical Analysis

All data were expressed as the mean values with standard errors (mean ± SEs). The normality and homogeneity of data were tested using Kolmogorov–Smirnov’s tests and Levene’s tests, respectively. The 24 h LC50 was derived using the Probit analysis. Two-way ANOVA was used to analyze the differences in life table parameters among all of the groups. Multiple comparisons were performed by the Student–Newman–Keuls q test (SNK-q test). A statistically significant difference was set as p < 0.05. All data were statistically analyzed using SPSS 22.0 (SPSS Inc., Chicago, IL, USA).

3. Results

3.1. Acute Toxicity Test

After 30 min of exposure, the B. calyciflorus reacted to each treatment by slowing down its swimming speed, forming clusters of two or three individuals, and weakening its response to external stimuli. The CPZ concentration at which rotifers began to die decreased from 1.2 to 0.4 mg/L as the temperature increased, and there was a significant linear relationship between CPZ concentration and rotifer mortality, respectively (Table 1). At 18, 25 and 32 °C, the 24 h LC50 of CPZ to B. calyciflorus was 1.795, 1.242 and 0.833 mg/L, respectively. The 24 h LC50 decreased with increasing temperature (Table 1), indicating that the toxicity of CPZ increased with temperature.

3.2. Changes in DAC

DAC in the rotifers of each treatment was calculated using the standard curve (Figure S1). At 25 °C, DAC in rotifers was highest (2.51 ng/g) in the control group, and lowest (1.06 ng/g) in the 0.5 mg/L CPZ treatments at 18 °C. DAC in rotifers decreased significantly with increasing CPZ concentration at all three temperatures (one-way ANOVA, all p < 0.05) when compared to controls. Temperature was significantly correlated with DAC in rotifers exposed to 0.125 mg/L CPZ treatments and controls, with DAC being highest at 25 °C (one-way ANOVA, p < 0.05, Figure 1).
CPZ concentration and temperature had a significant effect on rotifer DAC (two-way ANOVA, p < 0.01), but the CPZ × temperature interaction had no effect (two-way ANOVA, p > 0.05, Table S1). There were significant nominal concentration–response relationships between CPZ concentration and DAC of B. calyciflorus at three different temperatures (Table 2).

3.3. Life Table Experiment

Using standard life table methods, we compared the lx and mx of rotifers exposed to different concentrations of CPZ at different temperatures. When compared to controls, the lx in all treatments tended to decrease earlier, and there was a trend toward a shorter time to death for all treatments for all individuals; treatments with CPZ at 0~0.5 mg/L significantly reduced the peak value of mx of 18 °C (one-way ANOVA, p < 0.05), but treatments with CPZ at 0.25 and 0~0.5 mg/L did not significantly affect the peak values of mx at 25 and 32 °C (one-way ANOVA, all p > 0.05, Figure 2a–f). Table 3 shows the results of selected life table variables of B. calyciflorus (18, 25 and 32 °C) exposed to different concentrations of CPZ. At 18, 25 and 32 °C, CPZ concentration had a significant effect on e0, T, R0 and rm (one-way ANOVA, all p < 0.05). Treatments with CPZ at 0.25~0.5, 0.25~0.5 and 0.125~0.5 mg/L significantly decreased the e0 at 18, 25 and 32 °C, respectively; treatments with CPZ at 0.5 mg/L significantly shortened T at 18, 25 and 32 °C, respectively; treatments with CPZ at 0.25~0.5 mg/L significantly decreased the rm values at 18 and 32 °C, and treatments with CPZ at 0.125 and 0.5 mg/L significantly decreased the rm values at 25 °C (one-way ANOVA, all p < 0.05). Except for treatments with CPZ at 0.125 mg/L at 32 °C and 0.25 mg/L at 25 °C, which were not significantly different from controls (one-way ANOVA, p > 0.05), CPZ significantly inhibited R0 in all treatments (one-way ANOVA, all p < 0.05). At 0~0.5 mg/L CPZ concentration, temperature had a significant effect on e0, T, R0 and rm (one-way ANOVA, all p < 0.05). Compared to controls, and at 18 °C, CPZ treatments of 0.5 and 0~0.5 mg/L significantly increased the e0 and T of rotifers, respectively, and the R0 and rm were significantly decreased in CPZ treatments of 0~0.5 mg/L (one-way ANOVA, all p < 0.05); similarly, at 32 °C, CPZ treatments of 0~0.5, 0~0.5 and 0.25~0.5 mg/L significantly decreased the e0, T and R0 of rotifers, respectively, and the R0 and rm were significantly increased in CPZ treatments of 0.25 and 0~0.5 mg/L (one-way ANOVA, all p < 0.05).
Table S1 displays the results of the two-way ANOVA performed on all the parameters of the rotifers subjected to CPZ concentration and temperature. Both CPZ concentration and temperature significantly affected e0, R0, and T of the rotifers (two-way ANOVA, all p < 0.001), but the CPZ × temperature interaction did not (two-way ANOVA, p > 0.05), and rm of the rotifers were significantly affected by CPZ concentration, temperature and their interaction (two-way ANOVA, all p < 0.05). At three temperatures of B. calyciflorus, significant nominal concentration–response relationships existed between CPZ concentration and e0, T, R0 and rm (Table 2).

3.4. Population Growth Experiment

The population growth curves of B. calyciflorus for each treatment are shown in Figure 3. The treatments with 0.5 mg/L CPZ at all temperatures demonstrated extremely unstable population dynamics, resulting in a low population density, and the treatments were terminated on day 6 when no live rotifers were discovered. This data set was only for display and not for analysis. At 18 °C, the growth rates of B. calyciflorus control and 0.125 mg/L CPZ treatments increased rapidly from day 3 and peaked on day 7 (78.63 ± 3.39 and 74.30 ± 2.66 ind./mL), whereas the population of 0.25 mg/L CPZ treatments grew slowly and peaked on day 11 (68.67 ± 1.76 ind./mL). Similarly, the r of rotifers decreased significantly as CPZ concentration increased (one-way ANOVA, all p < 0.05). When the temperature was increased to 25 °C, all treatments reached their highest peaks on days 11, 12 and 10, respectively (151.57 ± 4.79, 121.93 ± 4.30 and 131.13 ± 1.68 ind./mL), but the r of rotifers significantly decreased in comparison to the control (one-way ANOVA, all p < 0.01). At 32 °C, both treatments with CPZ at 0.125 mg/L and the control reached the peak on day 12 (103.33 ± 5.29 and 116.20 ± 4.39 ind./mL), and treatments with CPZ at 0.25 mg/L reached a peak on day 13 (91.17 ± 2.60 ind./mL), the r of rotifers exposed to 0.25 mg/L CPZ was significantly lower than the controls (one-way ANOVA, p < 0.05, Table 4). The maximum population density was significantly decreased at 18 and 32 °C (one-way ANOVA, all p < 0.05); the r was significantly lower at 18 °C only in the 0.25 mg/L CPZ treatments, with no significant differences between the other treatments compared to the controls.

4. Discussion

The first clinical application of chlorpromazine in France in 1952 was considered to be the beginning of psychopharmacology [45]. Since its birth 70 years ago, the use of antipsychotic drugs has continued to increase, and the scope of use has expanded to companion animals. Although antipsychotic drugs pose an important threat to the environment to varying degrees [46], people have only begun to pay attention to antipsychotic drugs in the environment in recent decades [47]. This has led to the lack of appropriate environmental risk assessments for most antipsychotic drugs. Here, we take B. calyciflorus as the test organism to study the survival, population growth and dopamine concentration of rotifers under CPZ and temperature stress, in an attempt to provide a basis for environmental risk assessment of CPZ.
Acute toxicity of CPZ to aquatic organisms has been documented. The acute 24 h LC50 obtained for CPZ (0.833–1.795 mg/L) with B. calyciflorus is higher than those obtained for aquatic organisms such as the protozoan Spirostomum ambiguum (24 h EC50 of 0.35 mg/L), the freshwater goldfish Carassius auratus (48 h EC50 of 0.43 mg/L) and the crustaceans Thamnocephalus platyurus (24 h LC50 of 0.62 mg/L), similar to the D. magna (48 h EC50 of 1.805 mg/L) [14,30,48]. Other studies on CPZ ecotoxicity are difficult to compare with our findings because the experimental endpoints differ greatly [49,50,51]. In conclusion, the sensitivity of B. calyciflorus to CPZ is comparable to that of D. magna, but more sensitive than that of fish and protozoa. Some researchers investigated the approximate lethal doses of 58 compounds at different temperatures in rats and discovered that the majority of the compounds were 2–17 times more toxic at 36 °C than at 26 or 8 °C [52]. Interestingly, CPZ, promazine and strychnine are more toxic at 8 and 36 °C, but much less toxic at room temperature. Our findings support the majority of compounds, with CPZ being more toxic to B. calyciflorus at 32 °C than at 25 or 18 °C.
The DA system was prevalent in both vertebrates and invertebrates and performs more of a neurotransmitter function. In vertebrates, DA was involved in many functions, including locomotion [53,54,55], cognition [56,57,58] and development [59,60]. In each temperature group of this experiment, the DAC of rotifers decreased significantly with the increase in CPZ concentration, and there was a concentration–response relationship between CPZ concentration and DAC. While there were no appreciable variations in DAC at the three temperatures in the higher concentration treatments, there was a tendency for DAC in the lower CPZ treatments for all samples to decline sequentially at 25, 32, and 18 °C. Increasing CPZ concentrations had a clear negative effect on rotifer DAC at all temperatures; however, the relationship between rotifer DAC and rotifer life history and population growth has not been reported. In conclusion, the DA system may be important in regulating life history and population growth in response to exogenous stress. Chemically induced changes in DA levels may alter rotifer life history responses, but the precise effects must be investigated.
Life table experiments on rotifers are common in environmental risk assessment, ecological and aquaculture research [61]. At all temperatures, there was no significant difference in T at 0.125 mg/L CPZ treatments compared to the control in the current study. Previous research had shown that low toxicant exposure improved performance, a phenomenon known as hormesis [62]. The e0, R0 and rm were significantly reduced in treatments with 0.25 mg/L CPZ at 18 and 32 °C. Consistently, the e0, R0, T and rm were significantly lower in treatments with 0.5 mg/L CPZ than in the control at all temperatures. Higher concentrations of CPZ had more toxic effects on e0, R0, T and rm were obvious in all three temperatures, which was consistent with previous studies [63,64]. With increasing temperatures, the T shortened significantly and the rm increased significantly in all treatments. In our experiments, we discovered that rotifers became significantly smaller as the temperature rose, so we hypothesized that rotifers were allocating more energy to reproduction rather than growth and development, which was also consistent with previous research [65]. Two-way ANOVA revealed significant interactive effects between temperature and CPZ concentration on rm of rotifers, implying that temperature may affect CPZ toxicity. More specifically, when compared to the control, e0 in 0.125 mg/L CPZ treatments with did not change at 18 °C but significantly decreased at 32 °C. Similarly, R0 in 0.125 mg/L CPZ treatments did not change at 25 °C but significantly decreased at 32 °C when compared to the control. These findings suggested that high temperatures may increase CPZ toxicity to rotifers. Similarly, the toxicity of nTiO2 and imidacloprid to B. calyciflorus with increasing temperature [66,67], as well as the toxicity of terbufos, trichlorfon, and imidacloprid to Palaemonetes spp., Cyprinodon variegatus and Isonychia bicolor [68,69], and the toxicity of an ethoprop- malathion mixture to Oncorhynchus kisutch [70]. In line with our findings, the toxicity of CPZ to zooplankton is increasing with global warming.
So far, adverse effects on population demographic factors such as r have been widely used as reliable indicators to demonstrate reliable various environmental stressors such as chlordecone, fipronil, chloramphenicol and oxytetracycline in the genus Brachionus (e.g., B. plicatilis and B. calyciflorus) [71,72,73]. When organisms are subjected to external stresses, the majority of their energy is directed toward mitigating the effects of the stressor, sacrificing energy for growth and reproduction [74]. For zooplankton, population density and r are critical at the trophic level [71]. In this experiment, 0.125 mg/L CPZ significantly increased maximum population density at 25 °C, while 0.25 mg/L CPZ significantly decreased maximum population density at 18 and 32 °C. We discovered more rotifer corpses during the count, indicating that the rotifer population was in a collapsed stage at the time of the count, and the maximum population density was affected by the experimental container and the experimental volume [75]. CPZ had a negative effect on the r at all temperatures. On the sixth day, population growth was slowed and extinction was particularly observed in B. calyciflorus exposed to 0.5 mg/L CPZ. The effects of high CPZ concentrations on rotifer population dynamics could be explained by the following factors. To begin, the swimming speed of the rotifer determines its water filtration rate and feeding rate [76], and rotifers move significantly slower in highly concentrated CPZ solutions, where food deprivation may be among the main factors influencing population growth. Secondly, the activities of several enzymes, including lipase, amylase and acetylcholinesterase, as well as the expression of cytochrome P450s genes, have been linked to changes in rotifer populations [67], but the effect of CPZ on rotifer survival and reproduction has yet to be determined. Finally, as a classic antipsychotic, CPZ inhibits DAR in organism cell membranes, interfering with the neuroendocrine system and affecting survival and population growth. Overall, changes in rotifer life history and population growth parameters may be attributed to altered rotifer DAC in this study.

5. Conclusions

According to the findings of this study, CPZ was highly toxic to B. calyciflorus, and the toxicity increased with increasing temperature within a certain range. Dopamine concentrations in rotifers decreased significantly as CPZ concentrations increased at different temperatures. The life expectancy, net reproduction rate, generation time, intrinsic growth rate and population growth rate of B. calyciflorus were all significantly affected by different temperatures and CPZ concentrations. Overall, CPZ pollution may not be acutely toxic to rotifers, but it may still have an impact on rotifers in light of global warming, which may then influence community structure in natural waters.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijerph192316167/s1, Figure S1: Standard curve for dopamine ELISA kit. Table S1: Results of the variance (two-way ANOVA) performed on the selected life history variables and dopamine concentration of B. calyciflorus in relation to chlorpromazine concentrations in three temperatures. SS = sum of squares, df = degrees of freedom, MS = mean squares, and F = F-ratio.

Author Contributions

Conceptualization, X.X. and Y.X.; funding acquisition, X.X. and Y.X.; methodology, S.F.; data curation, S.F.; formal analysis, S.F., Y.Z. and F.G.; writing—original draft preparation, S.F., L.Z., M.L. and H.W.; writing—review and editing, S.F. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the Natural Science Foundation of China under Grant (31872208), Natural Science Foundation in College of Anhui Province: KJ2020A0632, and the University Synergy Innovation Program of Anhui Province under Grant (GXXT-2020-075).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data showed in this study are available on request from the corresponding author.

Acknowledgments

We are grateful to the anonymous referees for their valuable comments, constructive suggestions and editorial assistance, which have greatly improved this paper.

Conflicts of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

  1. UNODC. World drug Report 2014. New York; United Nations Publication: Vienna, Austria, 2014. [Google Scholar]
  2. Zuccato, E.; Chiabrando, C.; Castiglioni, S.; Bagnati, R.; Fanelli, R. Estimating community drug abuse by wastewater analysis. Environ. Health Perspect. 2008, 116, 1027–1032. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Postigo, C.; Lopez de Alda, M.J.; Barceló, D. Fully automated determination in the Low Nanogram per liter level of different classes of drugs of abuse in sewage water by On-Line Solid-Phase extraction-liquid chromatography-electrospray-tandem mass spectrometry. Anal. Chem. 2008, 80, 3123–3134. [Google Scholar] [CrossRef] [PubMed]
  4. Evgenidou, E.N.; Konstantinou, I.K.; Lambropoulou, D.A. Occurrence and removal of transformation products of PPCPs and illicit drugs in wastewaters: A review. Sci. Total Environ. 2015, 505, 905–926. [Google Scholar] [CrossRef] [PubMed]
  5. Boleda, M.R.; Galceran, M.T.; Ventura, F. Monitoring of opiates, cannabinoids and their metabolites in wastewater, surface water and finished water in Catalonia, Spain. Water Res. 2009, 43, 1126–1136. [Google Scholar] [CrossRef] [PubMed]
  6. Adams, C.E.; Awad, G.A.; Rathbone, J.; Thornley, B.; Soares-Weiser, K. Chlorpromazine versus placebo for schizophrenia. Cochrane Database Syst. Rev. 2014, 1. [Google Scholar] [CrossRef] [Green Version]
  7. Bryan, J. How chlorpromazine improved the treatment of schizophrenic patients. Pharm. J. 2011, 286, 249–250. [Google Scholar]
  8. Dyall, J.; Coleman, C.M.; Hart, B.J.; Venkataraman, T.; Holbrook, M.R.; Kindrachuk, J.; Johnson, R.F.; Olinger, G.G.; Jahrling, P.B.; Laidlaw, M.; et al. Repurposing of clinically developed drugs for treatment of Middle East respiratory syndrome coronavirus infection. Antimicrob. Agents Chemother. 2014, 58, 4885–4893. [Google Scholar] [CrossRef] [Green Version]
  9. de Wilde, A.H.; Jochmans, D.; Posthuma, C.C.; Zevenhoven-Dobbe, J.C.; van Nieuwkoop, S.; Bestebroer, T.M.; van den Hoogen, B.G.; Neyts, J.; Snijder, E.J. Screening of an FDA-approved compound library identifies four small-molecule inhibitors of Middle East respiratory syndrome coronavirus replication in cell culture. Antimicrob. Agents Chemother. 2014, 58, 4875–4884. [Google Scholar] [CrossRef] [Green Version]
  10. Plaze, M.; Attali, D.; Petit, A.-C.; Blatzer, M.; Simon-Loriere, E.; Vinckier, F.; Cachia, A.; Chrétien, F.; Gaillard, R. Repurposing of chlorpromazine in COVID-19 treatment: The reCoVery study. Encephale 2020, 46, S35–S39. [Google Scholar] [CrossRef]
  11. de Alkimin, G.D.; Nunes, B.; Soares, A.M.V.M.; Bellot, M.; Gómez-Canela, C.; Barata, C. Daphnia magna responses to fish kairomone and chlorpromazine exposures. Chem. Biol. Interact. 2020, 325, 109123. [Google Scholar] [CrossRef]
  12. Oliveira, L.L.D.; Antunes, S.C.; Gonçalves, F.; Rocha, O.; Nunes, B. Evaluation of ecotoxicological effects of drugs on Daphnia magna using different enzymatic biomarkers. Ecotoxicol. Environ. Saf. 2015, 119, 123–131. [Google Scholar] [CrossRef] [PubMed]
  13. Alkimin, G.D.; Daniel, D.; Frankenbach, S.; Serôdio, J.; Soares, A.M.V.M.; Barata, C.; Nunes, B. Evaluation of pharmaceutical toxic effects of non-standard endpoints on the macrophyte species Lemna minor and Lemna gibba. Sci. Total Environ. 2019, 657, 926–937. [Google Scholar] [CrossRef] [PubMed]
  14. Li, T.; Zhou, Q.; Zhang, N.; Luo, Y. Toxic effects of chlorpromazine on Carassius auratus and its oxidative stress. J. Environ. Sci. Health Part B 2008, 43, 638–643. [Google Scholar] [CrossRef] [PubMed]
  15. Roberts, P.H.; Bersuder, P. Analysis of OSPAR priority pharmaceuticals using high-performance liquid chromatography-electrospray ionisation tandem mass spectrometry. J. Chromatogr. A 2006, 1134, 143–150. [Google Scholar] [CrossRef] [PubMed]
  16. Yuan, S.; Jiang, X.; Xia, X.; Zhang, H.; Zheng, S. Detection, occurrence and fate of 22 psychiatric pharmaceuticals in psychiatric hospital and municipal wastewater treatment plants in Beijing, China. Chemosphere 2013, 90, 2520–2525. [Google Scholar] [CrossRef] [PubMed]
  17. Trautwein, C.; Kümmerer, K. Degradation of the tricyclic antipsychotic drug chlorpromazine under environmental conditions, identification of its main aquatic biotic and abiotic transformation products by LC-MSn and their effects on environmental bacteria. J. Chromatogr. B 2012, 889, 24–38. [Google Scholar] [CrossRef]
  18. Berry, H.L.; Bowen, K.; Kjellstrom, T. Climate change and mental health: A causal pathways framework. Int. J. Public Health 2010, 55, 123–132. [Google Scholar] [CrossRef]
  19. Bourque, F.; Cunsolo Willox, A. Climate change: The next challenge for public mental health? Int. Rev. Psychiatry 2014, 26, 415–422. [Google Scholar] [CrossRef]
  20. Noyes, P.D.; McElwee, M.K.; Miller, H.D.; Clark, B.W.; Van Tiem, L.A.; Walcott, K.C.; Erwin, K.N.; Levin, E.D. The toxicology of climate change: Environmental contaminants in a warming world. Environ. Int. 2009, 35, 971–986. [Google Scholar] [CrossRef]
  21. Obradovich, N.; Migliorini, R.; Paulus, M.P.; Rahwan, I. Empirical evidence of mental health risks posed by climate change. Proc. Natl. Acad. Sci. USA 2018, 115, 10953–10958. [Google Scholar] [CrossRef] [Green Version]
  22. Berry, H.L.; Waite, T.D.; Dear, K.B.G.; Capon, A.G.; Murray, V. The case for systems thinking about climate change and mental health. Nat. Clim. 2018, 8, 282–290. [Google Scholar] [CrossRef]
  23. Manciocco, A.; Calamandrei, G.; Alleva, E. Global warming and environmental contaminants in aquatic organisms: The need of the etho-toxicology approach. Chemosphere 2014, 100, 1–7. [Google Scholar] [CrossRef] [PubMed]
  24. Mehta, K. Impact of temperature on contaminants toxicity in fish fauna: A review. Indian, J. Sci. Technol. 2017, 10, 1–6. [Google Scholar] [CrossRef]
  25. Capkin, E.; Altinok, I.; Karahan, S. Water quality and fish size affect toxicity of endosulfan, an organochlorine pesticide, to rainbow trout. Chemosphere 2006, 64, 1793–1800. [Google Scholar] [CrossRef]
  26. Lydy, M.J.; Belden, J.B.; Ternes, M.A. Effects of temperature on the toxicity of M-parathion, chlorpyrifos, and pentachlorobenzene to Chironomus tentans. Arch. Environ. Contam. Toxicol. 1999, 37, 542–547. [Google Scholar] [CrossRef]
  27. DeLorenzo, M.E.; Wallace, S.C.; Danese, L.E.; Baird, T.D. Temperature and salinity effects on the toxicity of common pesticides to the grass shrimp, Palaemonetes pugio. J. Environ. Sci. Health Part B 2009, 44, 455–460. [Google Scholar] [CrossRef] [Green Version]
  28. Wallace, R.; Snell, T. Rotifera. In Ecology and Classification of North American Freshwater Invertebrates; Academic Press: Cambridge, MA, USA, 1991; pp. 173–235. [Google Scholar]
  29. Isibor, P.O.; Imoobe, T.O.T.; Dedeke, G.A.; Adagunodo, T.A.; Taiwo, O.S. Health risk indices and zooplankton-based assessment of a tropical rainforest river contaminated with iron, lead, cadmium, and chromium. Sci. Rep. 2020, 10, 16896. [Google Scholar] [CrossRef]
  30. de Oliveira, L.L.D.; Antunes, S.C.; Gonçalves, F.; Rocha, O.; Nunes, B. Acute and chronic ecotoxicological effects of four pharmaceuticals drugs on cladoceran Daphnia magna. Drug Chem. Toxicol. 2016, 39, 13–21. [Google Scholar] [CrossRef]
  31. Oropesa, A.L.; Floro, A.M.; Palma, P. Assessment of the effects of the carbamazepine on the endogenous endocrine system of Daphnia magna. Environ. Sci. Pollut. Res. 2016, 23, 17311–17321. [Google Scholar] [CrossRef]
  32. Janssen, C.; Ferrando, M.; Persoone, G. Ecotoxicological studies with the freshwater rotifer Brachionus calyciflorus: IV. Rotifer behavior as a sensitive and rapid sublethal test criterion. Ecotoxicol. Environ. Saf. 1994, 28, 244–255. [Google Scholar] [CrossRef]
  33. Snell, T.W.; Janssen, C.R. Rotifers in ecotoxicology: A review. Hydrobiologia 1995, 313, 231–247. [Google Scholar] [CrossRef]
  34. Dahms, H.-U.; Hagiwara, A.; Lee, J.S. Ecotoxicology, ecophysiology, and mechanistic studies with rotifers. Aquat. Toxicol. 2011, 101, 1–12. [Google Scholar] [CrossRef] [PubMed]
  35. Zhang, L.; Niu, J.; Wang, Y. Full life-cycle toxicity assessment on triclosan using rotifer Brachionus calyciflorus. Ecotoxicol. Environ. Saf. 2016, 127, 30–35. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Wen, X.L.; Xi, Y.L.; Qian, F.P.; Zhang, G.; Xiang, X.L. Comparative analysis of rotifer community structure in five subtropical shallow lakes in East China: Role of physical and chemical conditions. Hydrobiologia 2011, 661, 303–316. [Google Scholar] [CrossRef]
  37. Zhang, Y.; Zhou, A.; Xi, Y.L.; Sun, Q.; Ning, L.F.; Xie, P.; Wen, X.L.; Xiang, X.L. Temporal patterns and processes of genetic differentiation of the Brachionus calyciflorus (Rotifera) complex in a subtropical shallow lake. Hydrobiologia 2018, 807, 313–331. [Google Scholar] [CrossRef]
  38. Peltier, W.H.; Weber, C.I. Methods for Measuring the Acute Toxicity of Effluents to Freshwater and Marine Organisms; U.S. Environmental Protection Agency: Washington, WA, USA, 1985.
  39. Li, S.H.; Zhu, H.; Xia, Y.Z.; Yu, M.J.; Lin, K.E.; Liu, K.S.; Le, Z.Y.; Chen, Y.X. The mass culture of unicellular green algae. Acta Hydrobiol. Sin. 1959, 4, 462–472. [Google Scholar]
  40. Jiménez, J.J.; Muñoz, B.E.; Sánchez, M.I.; Pardo, R.; Vega, M.S. Fate of the drug chlorpromazine in river water according to laboratory assays. Identification and evolution over time of degradation products. Sorption to sediment. Chemosphere 2016, 162, 285–292. [Google Scholar] [CrossRef]
  41. IJO; Finney, D.J.; Tattersfield, F. Probit Analysis: A Statistical Treatment of the Sigmoid Response Curve. J. R. Stat. Soc. 1947, 110, 263–266. [Google Scholar] [CrossRef]
  42. Poole, R.W. Introduction to Quantitative Ecology; McGraw-Hill: New York, NY, USA, 1974. [Google Scholar]
  43. Krebs, C.J. Ecology: The Experimental Analysis of Distribution and Abundance, 3rd ed.; Harper and Row Publisher: New York, NY, USA, 1985. [Google Scholar]
  44. Ricci, C.; Snell, T.W. Rotifer Symposium V: Proceedings of the Fifth Rotifer Symposium. Held in Gargnano, Italy, September 11–18; King, C.E., Ed.; Springer: Dordrecht, The Netherlands, 1989. [Google Scholar]
  45. Medrano, J. Historical Perspective of Psychotropic Drug Use Geriatrics; Lertxundi, U., Medrano, J., Hernández, R., Eds.; Bentham Science Publishers: Sharjah, United Arab Emirates, 2015; pp. 3–15. [Google Scholar]
  46. Reichert, J.F.; Souza, D.M.; Martins, A.F. Antipsychotic drugs in hospital wastewater and a preliminary risk assessment. Ecotoxicol. Environ. Saf. 2019, 170, 559–567. [Google Scholar] [CrossRef]
  47. Nakada, N.; Komori, K.; Suzuki, Y.; Konishi, C.; Houwa, I.; Tanaka, H. Occurrence of 70 pharmaceutical and personal care products in Tone River basin in Japan. Water Sci. Technol. 2007, 56, 133–140. [Google Scholar] [CrossRef] [Green Version]
  48. Nałęcz-Jawecki, G.; Kaza, M.; Sawicki, J. Evaluation of the toxicity of psychoactive compounds with the battery of bioassays. Fresenius Environ. Bull. 2008, 17, 1257–1263. [Google Scholar]
  49. Arkhipova, S.S.; Gainutdinova, T.K.; Ismailova, A.I.; Gainutdinov, K.L. Comparative studies of the effects of chlorpromazine and 5, 6-dihydroxytryptamine on locomotion, defensive reactions in the snail Helix Lucorum, and command neuron excitability in long-term sensitization. Neurosci. Behav. Physiol. 2006, 36, 759–766. [Google Scholar] [CrossRef] [PubMed]
  50. Rihel, J.; Prober, D.A.; Arvanites, A.; Lam, K.; Zimmerman, S.; Jang, S.; Haggarty, S.J.; Kokel, D.; Rubin, L.L.; Peterson, R.T.; et al. Zebrafish behavioral profiling links drugs to biological targets and rest/wake regulation. Science 2010, 327, 348–351. [Google Scholar] [CrossRef] [PubMed]
  51. Atama, C.I.; Nnaji, E.C.; Christian Ezeoyili, I.; Udeani, F.O.; Onovo, C.J.; Ike Ossai, N.; Oscar Aguzie, I.; Nwani, C.D. Neuromodulatory and oxidative stress evaluations in African catfish Clarias gariepinus exposed to antipsychotic drug chlorpromazine. Drug Chem. Toxicol. 2022, 45, 1318–1324. [Google Scholar] [CrossRef] [PubMed]
  52. Keplinger, M.L.; Lanier, G.E.; Deichmann, W.B. Effects of environmental temperature on the acute toxicity of a number of compounds in rats. Toxicol. Appl. Pharmacol. 1959, 1, 156–161. [Google Scholar] [CrossRef]
  53. Shimojo, G.; Joseph, B.; Shah, R.; Consolim-Colombo, F.M.; De Angelis, K.; Ulloa, L. Exercise activates vagal induction of dopamine and attenuates systemic inflammation. Brain. Behav. Immun. 2019, 75, 181–191. [Google Scholar] [CrossRef]
  54. Flack, K.; Pankey, C.; Ufholz, K.; Johnson, L.; Roemmich, J.N. Genetic variations in the dopamine reward system influence exercise reinforcement and tolerance for exercise intensity. Behav. Brain Res. 2019, 375, 112148. [Google Scholar] [CrossRef]
  55. Hove, M.J.; Martinez, S.A.; Shorrock, S.R. Physical exercise increases perceived musical pleasure: Modulatory roles of arousal, affect, or dopamine? Psychol. Music 2022, 50, 849–861. [Google Scholar] [CrossRef]
  56. Nieoullon, A. Dopamine and the regulation of cognition and attention. Prog. Neurobiol. 2002, 67, 53–83. [Google Scholar] [CrossRef]
  57. Bäckman, L.; Nyberg, L.; Lindenberger, U.; Li, S.-C.; Farde, L. The correlative triad among aging, dopamine, and cognition: Current status and future prospects. Neurosci. Biobehav. Rev. 2006, 30, 791–807. [Google Scholar] [CrossRef] [Green Version]
  58. Lee, M.; Fatouros-Bergman, H.; Plavén-Sigray, P.; Ikonen Victorsson, P.; Sellgren, C.M.; Erhardt, S.; Flyckt, L.; Farde, L.; Cervenka, S. No association between cortical dopamine D2 receptor availability and cognition in antipsychotic-naive first-episode psychosis. NPJ Schizophr. 2021, 7, 46. [Google Scholar] [CrossRef] [PubMed]
  59. Meaney, M.J.; Brake, W.; Gratton, A. Environmental regulation of the development of mesolimbic dopamine systems: A neurobiological mechanism for vulnerability to drug abuse? Psychoneuroendocrinology 2002, 27, 127–138. [Google Scholar] [CrossRef] [PubMed]
  60. Hoops, D.; Reynolds, L.M.; Restrepo-Lozano, J.M.; Flores, C. Dopamine development in the mouse orbital prefrontal cortex is protracted and sensitive to amphetamine in adolescence. Eneuro 2018, 5. [Google Scholar] [CrossRef] [PubMed]
  61. Malekzadeh Viayeh, R.; Mohammadi, H.; Shafiei, A.B. Population growth of six Iranian Brachionus rotifer strains in response to salinity and food type. Int. Rev. Hydrobiol. 2010, 95, 461–470. [Google Scholar] [CrossRef]
  62. Xu, X.P.; Chen, T.; Wei, X.Y.; Yang, X.F.; Xi, Y.L.; Wang, X.M. Effects of bromate on life history parameters, swimming speed and antioxidant biomarkers in Brachionus calyciflorus. Ecotoxicol. Environ. Saf. 2021, 208, 111705. [Google Scholar] [CrossRef] [PubMed]
  63. Kim, R.O.; Kim, B.M.; Jeong, C.B.; Lee, J.S.; Rhee, J.S. Effects of chlorpyrifos on life cycle parameters, cytochrome P450S expression, and antioxidant systems in the monogonont rotifer Brachionus koreanus. Environ. Toxicol. Chem. 2016, 35, 1449–1457. [Google Scholar] [CrossRef]
  64. Xu, X.P.; Xi, Y.L.; Wang, X.M. Effects of DDT and dicofol on life table demography of the freshwater rotifer Brachionus calyciflorus Pallas. Pol. J. Environ. Stud. 2020, 29, 1945–1951. [Google Scholar] [CrossRef]
  65. Heinle, D.R. Temperature and zooplankton. Chesap. Sci. 1969, 10, 186–209. [Google Scholar] [CrossRef]
  66. Dong, L.L.; Wang, H.X.; Ding, T.; Li, W.; Zhang, G. Effects of TiO2 nanoparticles on the life-table parameters, antioxidant indices, and swimming speed of the freshwater rotifer Brachionus calyciflorus. J. Exp. Zool. Part Ecol. Integr. Physiol. 2020, 333, 230–239. [Google Scholar] [CrossRef]
  67. Wen, Y.; Cao, M.M.; Huang, Z.Y.; Xi, Y.L. Combined Effects of Warming and Imidacloprid on Survival, Reproduction and Population Growth of Brachionus calyciflorus (Rotifera). Bull. Environ. Contam. Toxicol. 2022, 109, 990–995. [Google Scholar] [CrossRef]
  68. Brecken-Folse, J.A.; Mayer, F.L.; Pedigo, L.E.; Marking, L.L. Acute toxicity of 4-nitrophenol, 2, 4-dinitrophenol, terbufos and trichlorfon to grass shrimp (Palaemonetes spp.) and sheepshead minnows (Cyprinodon variegatus) as affected by salinity and temperature. Environ. Toxicol. Chem. 1994, 13, 67–77. [Google Scholar] [CrossRef]
  69. Camp, A.A.; Buchwalter, D.B. Can’t take the heat: Temperature-enhanced toxicity in the mayfly Isonychia bicolor exposed to the neonicotinoid insecticide imidacloprid. Aquat. Toxicol. 2016, 178, 49–57. [Google Scholar] [CrossRef] [PubMed]
  70. Laetz, C.A.; Baldwin, D.H.; Hebert, V.R.; Stark, J.D.; Scholz, N.L. Elevated temperatures increase the toxicity of pesticide mixtures to juvenile coho salmon. Aquat. Toxicol. 2014, 146, 38–44. [Google Scholar] [CrossRef] [PubMed]
  71. Lee, Y.H.; Park, J.C.; Hwang, U.K.; Lee, J.S.; Han, J. Adverse effects of the insecticides chlordecone and fipronil on population growth and expression of the entire cytochrome P450 (CYP) genes in the freshwater rotifer Brachionus calyciflorus and the marine rotifer Brachionus plicatilis. Aquat. Toxicol. 2018, 202, 181–187. [Google Scholar] [CrossRef]
  72. Iqbal, M.S.; Zhu, H.; Xi, Y.L. Effect of chloramphenicol on the life table demography of Brachionus calyciflorus (Rotifera): A multigenerational study. Ecotoxicol. Environ. Saf. 2022, 237, 113525. [Google Scholar] [CrossRef] [PubMed]
  73. Zhu, H.; Huang, Z.Y.; Jiang, S.; Pan, L.; Xi, Y.L. Rapid adaptation of Brachionus dorcas (Rotifera) to tetracycline antibiotic stress. Aquat. Toxicol. 2022, 245, 106126. [Google Scholar] [CrossRef] [PubMed]
  74. de Coen, W.M.D.; Janssen, C.R. The use of biomarkers in Daphnia magna toxicity testing. IV. Cellular energy allocation: A new methodology to assess the energy budget of toxicant-stressed Daphnia populations. J. Aquat. Ecosyst. Stress Recovery 1997, 6, 43–55. [Google Scholar] [CrossRef]
  75. Zhu, L.Y.; Huang, R.; Zhou, L.B.; Xi, Y.L.; Xiang, X.L. Responses of the ecological characteristics and antioxidant enzyme activities in Rotaria rotatoria to UV-B radiation. Hydrobiologia 2021, 848, 4749–4761. [Google Scholar] [CrossRef]
  76. Xiang, X.L.; Chen, Y.Y.; Xu, Q.L.; Zhu, L.Y.; Wen, X.L.; Xi, Y.L. Combined effects of temperature and the microcystin MC-LR on the feeding behavior of the rotifer Brachionus calyciflorus. Bull. Environ. Contam. Toxicol. 2017, 99, 493–499. [Google Scholar] [CrossRef]
Figure 1. Dopamine concentration of rotifers at different chlorpromazine concentrations and temperatures. Values in each column with different capital letters indicate significant differences among treatments for each temperature (p < 0.05); column values with different small letters indicate significant differences among treatments for each chlorpromazine hydrochloride concentration (p < 0.05).
Figure 1. Dopamine concentration of rotifers at different chlorpromazine concentrations and temperatures. Values in each column with different capital letters indicate significant differences among treatments for each temperature (p < 0.05); column values with different small letters indicate significant differences among treatments for each chlorpromazine hydrochloride concentration (p < 0.05).
Ijerph 19 16167 g001
Figure 2. Age-specific survivorship and age-specific fecundity of B. calyciflorus exposed to different concentrations of chlorpromazine at different temperatures. Shown are the mean ± standard error based on three replicates for: (a) 18 °C—survivorship; (b) 18 °C—fecundity; (c) 25 °C—survivorship; (d) 25 °C—fecundity; (e) 32 °C—survivorship; (f) 32 °C—fecundity.
Figure 2. Age-specific survivorship and age-specific fecundity of B. calyciflorus exposed to different concentrations of chlorpromazine at different temperatures. Shown are the mean ± standard error based on three replicates for: (a) 18 °C—survivorship; (b) 18 °C—fecundity; (c) 25 °C—survivorship; (d) 25 °C—fecundity; (e) 32 °C—survivorship; (f) 32 °C—fecundity.
Ijerph 19 16167 g002
Figure 3. Population growth curves expressed by population densities of the B. calyciflorus exposed to chlorpromazine cultured at 18, 25 and 32 °C. Shown are the mean ± standard error based on three replicates for: (a) 18 °C—population densities; (b) 25 °C—population densities; (c) 32 °C—population densities.
Figure 3. Population growth curves expressed by population densities of the B. calyciflorus exposed to chlorpromazine cultured at 18, 25 and 32 °C. Shown are the mean ± standard error based on three replicates for: (a) 18 °C—population densities; (b) 25 °C—population densities; (c) 32 °C—population densities.
Ijerph 19 16167 g003aIjerph 19 16167 g003b
Table 1. The 24 h LC50 of chlorpromazine as well as the relationships between chlorpromazine concentration (x, mg/L) and mortality rate of B. calyciflorus at three temperatures. Shown are the mean ± standard error based on three replicates.
Table 1. The 24 h LC50 of chlorpromazine as well as the relationships between chlorpromazine concentration (x, mg/L) and mortality rate of B. calyciflorus at three temperatures. Shown are the mean ± standard error based on three replicates.
Temperature (°C)24 h LC50 (mg/L)95% Confidence LimitsRegressive EquationsSignificant Tests
181.7951.669~1.918y = 0.375x − 0.178R2 = 0.907, p < 0.001
251.2420.795~1.644y = 0.390x − 0.054R2 = 0.847, p < 0.001
320.8330.728~0.933y = 0.3412x + 0.142R2 = 0.795, p < 0.001
Table 2. The relationships between chlorpromazine concentration (x, mg/L) and life expectancy at hatching (e0), generation time (T), net reproductive rate (R0), intrinsic rate of population increase (rm) and dopamine concentration (DAC) of B. calyciflorus at three temperatures.
Table 2. The relationships between chlorpromazine concentration (x, mg/L) and life expectancy at hatching (e0), generation time (T), net reproductive rate (R0), intrinsic rate of population increase (rm) and dopamine concentration (DAC) of B. calyciflorus at three temperatures.
Temperature (°C)ParametersRegressive EquationsSignificant Tests
18e0y = 67.491x2 − 71.156x + 105.629R2 = 0.744, p < 0.01
R0y = 8.000x2 − 16.120x + 9.837R2 = 0.953, p < 0.001
Ty = −34.764x2 + 5.332x + 68.094R2 = 0.696, p < 0.01
rmy = 0.00034x2 − 0.027x + 0.036R2 = 0.903, p < 0.001
DACy = 14.749x2 − 16.110x + 8.564R2 = 0.831, p < 0.001
25e0y = 59.927x2 − 71.811x + 101.793R2 = 0.786, p < 0.001
R0y = 5.479x2 − 15.752x + 16.005R2 = 0.686, p < 0.01
Ty = −17.745x2 − 2.422x + 55.252R2 = 0.621, p < 0.05
rmy = −0.005x2 − 0.014x + 0.059R2 = 0.657, p < 0.01
DACy = 9.202x2 − 15.940x + 10.134R2 = 0.926, p < 0.001
32e0y = 45.964x2 − 65.585x + 78.076R2 = 0.925, p < 0.001
R0y = −1.552x2 − 15.059x + 15.538R2 = 0.909, p < 0.001
Ty = 6.012x2 − 18.352x + 49.255R2 = 0.618, p < 0.05
rmy = −0.039x2 − 0.011x + 0.072R2 = 0.905, p < 0.001
DACy = 16.931x2 − 18.730x + 9.652R2 = 0.893, p < 0.001
Table 3. Effects of temperatures and chlorpromazine on the life history demographic parameters of B. calyciflorus. Shown are the mean ± standard error based on three replicates.
Table 3. Effects of temperatures and chlorpromazine on the life history demographic parameters of B. calyciflorus. Shown are the mean ± standard error based on three replicates.
ParametersCPZ Concen.
(mg/L)
Temperature (°C)
182532
Life expectancyat hatching (h)0106.0 ± 4.2 Aa102.0 ± 4.8 Aa78.0 ± 2.1 Ab
0.12596.8 ± 2.8 ABa93.2 ± 1.7 ABa70.8 ± 0.7 Bb
0.2592.8 ± 2.6 BCa88.0 ± 0.8 BCa64.4 ± 2.2 Cb
0.586.8 ± 0.4 Ca80.8 ± 2.2 Cb56.8 ± 0.4 Dc
Generationtime (h)068.8 ± 1.0 Aa55.1 ± 1.6 Ab49.0 ± 2.3 Ac
0.12566.3 ± 0.4 Aa55.2 ± 0.4 Ab47.7 ±0.9 Ac
0.2568.7 ± 0.9 Aa53.2 ± 1.2 ABb44.6 ± 1.8 ABc
0.561.9 ± 0.8 Ba49.7 ± 1.2 Bb41.7 ± 0.3 Bc
Net reproductiverate09.9 ± 0.2 Ab16.5 ± 1.6 Aa15.2 ± 0.7 Aa
0.1257.9 ± 0.3 Bc12.8 ± 0.5 Bb14.5 ± 0.3 Aa
0.256.4 ± 0.4 Cc13.4 ± 0.9 ABa11.0 ± 0.2 Bb
0.53.8 ± 0.3 Db9.4 ± 0.6 Ca7.7 ± 0.6 Ca
Intrinsic rate of population increase (h)00.0357 ± 0.0005 Ac0.0598 ± 0.0014 Ab0.0714 ± 0.0016 Aa
0.1250.0330 ± 0.0010 Ac0.0549 ± 0.0014 Bb0.0705 ± 0.0003 Aa
0.250.0288 ± 0.0011 Bc0.0568 ± 0.0007 ABb0.0660 ± 0.0010 Ba
0.50.0225 ± 0.0017 Cc0.0504 ± 0.0011 Cb0.0566 ± 0.0017 Ca
Different capital letters indicate a significant difference in each column and different lowercase letters indicate a significant difference in each row for each parameter (p < 0.05).
Table 4. Population parameters of B. calyciflorus to three concentrations of chlorpromazine at different temperatures. Shown are the mean ± standard error based on three replicates.
Table 4. Population parameters of B. calyciflorus to three concentrations of chlorpromazine at different temperatures. Shown are the mean ± standard error based on three replicates.
Temperature
(℃)
CPZ Concen.
(mg/L)
Parameters
Day of Maximum DensityMaximum Rotifer Density
(ind./mL)
Population
Growth RATE
180774.30 ± 2.660.40 ± 0.02
0.125778.63 ± 3.390.29 ± 0.02 **
0.251268.67 ± 1.76 ***0.23 ± 0.01 ***
0.543.30 ± 0.490.12 ± 0.04
25010131.13 ± 1.680.57 ± 0.03
0.12511151.57 ± 4.79 **0.42 ± 0.04 **
0.2512121.93 ± 4.300.38 ± 0.01 **
0.5416.17 ± 1.130.20 ± 0.01
32012116.20 ± 4.390.67 ± 0.08
0.12512103.33 ± 5.290.48 ± 0.07
0.251391.17 ± 2.60 **0.41 ± 0.01 *
0.5317.77 ± 0.620.35 ± 0.02
* Significant difference from the control. * p < 0.05, ** p < 0.01, and *** p < 0.001.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Feng, S.; Zhang, Y.; Gao, F.; Li, M.; Zhu, L.; Wen, H.; Xi, Y.; Xiang, X. Inhibitory Effects of Antipsychotic Chlorpromazine on the Survival, Reproduction and Population Growth Other Than Neurotransmitters of Zooplankton in Light of Global Warming. Int. J. Environ. Res. Public Health 2022, 19, 16167. https://doi.org/10.3390/ijerph192316167

AMA Style

Feng S, Zhang Y, Gao F, Li M, Zhu L, Wen H, Xi Y, Xiang X. Inhibitory Effects of Antipsychotic Chlorpromazine on the Survival, Reproduction and Population Growth Other Than Neurotransmitters of Zooplankton in Light of Global Warming. International Journal of Environmental Research and Public Health. 2022; 19(23):16167. https://doi.org/10.3390/ijerph192316167

Chicago/Turabian Style

Feng, Sen, Yongzhi Zhang, Fan Gao, Meng Li, Lingyun Zhu, Hao Wen, Yilong Xi, and Xianling Xiang. 2022. "Inhibitory Effects of Antipsychotic Chlorpromazine on the Survival, Reproduction and Population Growth Other Than Neurotransmitters of Zooplankton in Light of Global Warming" International Journal of Environmental Research and Public Health 19, no. 23: 16167. https://doi.org/10.3390/ijerph192316167

APA Style

Feng, S., Zhang, Y., Gao, F., Li, M., Zhu, L., Wen, H., Xi, Y., & Xiang, X. (2022). Inhibitory Effects of Antipsychotic Chlorpromazine on the Survival, Reproduction and Population Growth Other Than Neurotransmitters of Zooplankton in Light of Global Warming. International Journal of Environmental Research and Public Health, 19(23), 16167. https://doi.org/10.3390/ijerph192316167

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop