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South African Journal of Animal Science

On-line version ISSN 2221-4062
Print version ISSN 0375-1589

S. Afr. j. anim. sci. vol.54 n.2 Pretoria  2024

http://dx.doi.org/10.4314/sajas.v54i2.07 

Effect of seasonal thermal stress on serum hormones, oxidative status, and immune response of periparturient dairy cows

 

 

Yang Geng; Tianzun Li; Hongyang Xu; Yulai Lu; Yinga Wu; Rouqi Wang; DeYuan Luo; Zhili Qi#

Department of Animal Nutrition and Feed Science, College of Animal Science and Technology, Huazhong Agricultural University, 430070 Wuhan, China

 

 


ABSTRACT

The objective of this study was to investigate the effect of seasonal thermal stress on serum hormones, oxidative status, and immune response of periparturient dairy cows. A total of 32 healthy Holstein dairy cows in the perinatal period with the same date of delivery were selected (eight cows per season) and housed in a free-stall barn. Different seasons corresponded to different temperature-humidity indices (THI). Regression analysis revealed a strong positive correlation between THI and rectal temperature and respiratory rate. On the day of calving, the level of progesterone and oestradiol increased and prolactin decreased substantially at a high THI. For oxidative stress biomarkers, the contents of malondialdehyde, superoxide dismutase, and catalase were substantially higher at a low THI. Glutathione peroxidase was increased at a high THI. For immune responses, the data indicated that low and high THI conditions led to an increase in interleukin-2 and interleukin-10. Low THI cows exhibited a substantially higher level of tumour necrosis factor-a before calving. Oxidative stress, inflammatory response, and endocrine imbalance therefore occur in lactating dairy cows in hot summers and cold-wet winters in comparison with comfortable seasons.

Keywords: cold stress, heat stress, periparturient dairy cow, serum biochemical indicators, temperature-humidity index


 

 

Introduction

The perinatal period in cows typically spans three weeks before and after calving (Li et al., 2015). During this time, there are important shifts in both endocrine and metabolic functions (Yasmin et al., 2020). Cows in the perinatal phase are particularly sensitive to fluctuations in environmental temperature and humidity. Perinatal dairy cows are more prone to the effects of seasonal variations in temperature and humidity, which can consequently impact their production performance (Zhang, 2012).

Although efforts have been made to mitigate summer production losses, metabolic disorders, and health issues in dairy cows, heat stress remains a persistent challenge for the global dairy industry (Qu et al., 2015). For Holstein cows, maintaining body temperature balance becomes critical at 25-26 °C. Beyond this threshold, typically above 25 °C, cows enter a state of heat stress (Berman, 2005). The Temperature-Humidity index (THI) provides a comprehensive assessment by integrating the effects of both humidity and temperature, serving as the most authoritative tool for evaluating heat stress (Bohmanova, 2007).

Thermal stress can induce various physiological changes in dairy cows, including alterations in rectal temperature, respiratory rate, hormone secretion, oxidative stress, and other biological functions (Grewal et al., 2019; Jeelani et al., 2019). Nevertheless, our understanding of how seasonal heat and cold stress specifically affect the endocrine status and immunity of periparturient dairy cows is still limited and warrants further investigation. Studies have shown that as the THI rises, dairy cows experience substantial increases in rectal temperature and respiratory rate (Liu et al., 2019). Research by Sandhya et al. (2015) demonstrated elevated levels of serum cortisol and progesterone, with decreased levels of luteinizing hormone, oestradiol, and prolactin, in response to heat stress.

During heat stress, the body generates numerous highly-reactive molecules. The body's antioxidant system works to counteract these molecules, inhibiting and eliminating free radicals to prevent oxidative damage (Yang et al., 2010; Zeng et al., 2014). Research by Yang et al. (2006) revealed that during heat stress, the activity of superoxide dismutase (SOD) and glutathione peroxidase (GSH-PX) decreased, whereas the concentration of malondialdehyde (MDA) and reactive oxygen species (ROS) increased substantially. Stress impacts the immune performance of animals, leading to changes in immunoglobulin G and related immune factors, such as interleukin (IL)-2, IL-10, and tumour necrosis factor (TNF)-α (Chen et al., 2018). Understanding the effects of seasonal cold and heat stress on the physiological state of perinatal cows is crucial for enhancing management practices and farming efficiency. Hence, the objective of this study was to investigate the impact of seasonal thermal stress on the serum hormones, oxidative status, and immune response of periparturient dairy cows. This research aims to provide valuable insights for improving the management of perinatal cows and optimizing farming practices.

 

Material and Methods

The protocol of this experiment was approved by the Institutional Animal Care and Use Committee at HuaZhong Agricultural University (Wuhan, China), and the animal experiment was conducted in accordance with the National Institute of Health Guidelines for the Care and Use of Experimental Animals (Beijing, China).

A total number of 32 healthy, Holstein dairy cows in the perinatal period (the same date of delivery; body weight: 737.35 ± 30.20 kg; age: 3.27 ± 0.96 years; parity: 2.33 ± 0.90;) were selected (eight cows per season) and housed in free-stall barn. The cows were fed with total mixed ration at 06:00 and at 18: 00 before milking. During the experimental period, the animals had a free access to feed and water. Feed formula and nutrients are reported in Table 1.

 

 

This study was conducted at the Academy of Agricultural Sciences commercial dairy farm (latitude and longitude 30°28' N, 114°16' E, respectively) located in Wuhan, China. The area is characterized by a subtropical monsoon climate. Four experiments were respectively carried out in different seasons with 30 days and eight cows in each experiment: the first experiment was conducted in spring (4th April-3rd May), the second experiment in summer (12th July-10th August), the third experiment in autumn (19th October-17th November), and the fourth experiment in winter (28th December-26th January). To detect the effect of THI on thermal tolerance, antioxidant status, immune response, and serum hormones of Holstein dairy cows, the physiological parameters were categorized into low THI (LTHI) in winter with mean daily THI of 42.97 ± 0.95, moderate THI (MTHI) in spring and autumn with mean daily THI of 61.84 ± 0.42, and high THI period (HTHI) in summer with mean daily THI of 86.09 ± 0.23.

Ambient temperature and relative humidity were recorded four times daily (06:00, 08:00, 12:00, and 18:00) at the barn area using an electronic thermometer and hygrometer (Zhengzhou Boyang Instrument Factory, China). THI was calculated using following equation (Mader et al., 2006):

Thermal tolerance data were measured three times daily (06:00, 12:00, and 18:00) for 6 d. Rectal temperature was measured with a clinical thermometer inserted 3 cm into the rectum and held in place for 5 min minutes. Respiratory rate was determined using a stopwatch to count the flank movements of the individual cows for one minute and was expressed as breaths per minute (bpm).

Representative samples of the total mixed ration (150 g) and refusals were taken daily during days 22-27 of each period. Samples of feeds and refusals were oven-dried at 60 °C and ground with a Wiley mill grinder through a 1-mm screen. Standard methods (AOAC, 2012) were applied to analyse dry matter (DM; method 934.01), crude protein (CP) using an automatic Kjeldahl system (Kjeltec 8400, Foss, Sweden; method 981.10), calcium (method 968.08), and phosphorus (method 965.1). Determinations of neutral (NDF) and acid detergent fibre (ADF) were carried out according to the method of Van Soest et al. (1991). Predicted net energy of lactation (NEl) was calculated according to the method of the NRC (2001).

Blood samples were collected through the jugular vein before morning feeding on day 14 before calving and day 14 after calving of each experimental season, and samples were placed into separation gel, coagulation-promoting tubes, followed by centrifugation within 2 h at 3000 * g for 15 min. The serum thus obtained was immediately stored at -20 °C for further analysis. The levels of prolactin (PRL, H095), progesterone (PROG, H089), luteinizing hormone (LH, H206), and oestradiol (E2, H102) in the serum were assessed using commercial ELISA kits (Nanjing Jiancheng Bioengineering Institute) according to the manufacturer's instructions. The levels of glutathione peroxidase (GSH-Px, A005-1-2), superoxide dismutase (SOD, A001-1-2), catalase (CAT, A007-1-1), and malondialdehyde (MDA, A003-1-2) in the serum were assessed using commercial ELISA kits (Nanjing Jiancheng Bioengineering Institute) according to the manufacturer's instructions. The optical densities were measured at 412 nm, 550 nm, 405 nm, and 532 nm using a microplate reader (model 320, Labsystems Multiskan MS, Finland) for GSH-Px, SOD, CAT, and MDA levels, respectively. The levels of IL-10 (H009), IL-2 (H003), IgG (H106), and TNF-a (H052) in the serum were determined using commercial ELISA kits (Nanjing Jiancheng Bioengineering Institute) according to the manufacturer's instructions. The ELISA results were obtained by using the microplate reader (DNM-9602, Pulang, New technology, Beijing, China) at a wavelength of 450 nm.

Statistical analysis was performed using SPSS software (SPSS v. 21, SPSS Inc.; Chicago, IL, USA). Significance analysis of the environmental parameters, thermal tolerance, the biomarkers of oxidative stress, immune response, and serum hormones in different seasons was conducted using one-way ANOVA in SPSS. The relationship between THI value and respiratory rate, as well as rectal temperature, were assessed by using Pearson's correlation coefficients. The significant differences were presented at P < 0.05.

 

Results

Environmental conditions in southern China typically range from hot-humid to cold-wet weather during the time when this study was carried out. The values of THI varied from 50 to 68 in spring and summer was characterised as MTHI. The entire summer experimental period was characterised as HTHI and presented high daily temperature and THI, which exceeded the critical values of 25 °C and 72, respectively. The cold winter with a low temperature and high relative humidity was characterized as LTHI (Figure 1). Rectal temperature and respiratory rate also varied substantially according to the THI. Regression analysis revealed a strongly positive correlation between THI and rectal temperature (r = 0.6272) and respiratory rate (r = 0.8226) (Figure 2). Dairy cows exhibited higher rectal temperatures under HTHI than under MTHI and LTHI. A similar result was observed in the alteration of respiratory rate with the increasing THI.

 

 

 

 

The level of serum PRL was lower in HTHI than in MTHI and LTHI at the day of calving (P <0.01, Figure 3A). However, HTHI cows exhibited a lower level in PROG and LH than MTHI and LTHI cows post-calving (P <0.01, Figure 3B and 3C). On the day of calving, the level of PROG and E2 was higher in HTHI than in MTHI (P <0.01, Figure 3B and 3D). However, the E2 level was lower with a HTHI than a LTHI post-calving (P <0.01, Figure 3D).

 

 

The levels of MDA, SOD, and CAT were higher in LTHI than in MTHI and HTHI in the perinatal period (P <0.01, Figure 4A, 4C, and 4D). However, the glutathione peroxidase level was higher in HTHI than MTHI on the day of calving (P <0.01, Figure 4B).

 

 

Biomarkers of immunity function such as cytokines, endotoxin, and IgG were strongly influenced by THI (Figure 5). The levels of IL-2 and IgG in serum were substantially higher in LTHI than in MTHI and HTHI before calving; opposite results were observed on the day of calving. After calving, the IL-2 and IgG levels in serum were lower in LTHI and HTHI cows than in MTHI cows. The trend in IL-10 in serum was contrary to IL-2 on the day of calving and after calving. LTHI cows exhibited a substantially higher level of TNF-a before calving and a lower level on the day of calving.

 

 

Discussion

THI has been well known as an effective indicator of the degree of thermal stress in dairy cows (Yan et al., 2020). Rectal temperature (RT) is a sensitive index of dairy cows to external stress, which can reflect the response of cows to the external environment more than other physiological indices and is an indicator of heat balance in animal body (Ammer et al., 2016; Chen et al., 2018). The rectal temperature of dairy cows was ~38.5 °C when dairy cows were exposed to a THI of 72-80 (Hajer et al., 2019). Rectal temperature (Chaudhary et al., 2015) and respiratory rate in the present study increased with an increase in THI. In order to maintain the balance of cow body temperature when cows are in HTHI and LTHI, the hypothalamic thermoregulation centre is activated. Under the regulation of nerves and body fluid, physiological methods such as increasing or decreasing RR are used to accelerate or weaken body heat dissipation. This is one of the ways to regulate the heat dissipation of dairy cows, and RT is the result of this heat balance (Dangi et al., 2014).

Different THIs will have an impact on the changes in serum hormone concentration in dairy cows. Lu (2006) found that no matter the LTHI or HTHI, oestradiol in the serum of dairy cows increased, while PRL content decreased substantially. Studies have found that serum cortisol and E2 of cows with HTHI increased, while PRL and LH were substantially decreased (Li, 2018). Progesterone content increases in HTHI, while cortisol, LH, and E2 decrease substantially (Li et al., 1998). In the current study, LTHI and HTHI conditions led to a decrease in serum PRL content in dairy cows after calving, which is not conducive to the development of the mammary acinar system, the production of milk, or the maintenance of pregnancy. HTHI leads to an increase in LH and a decrease in E2, which indicates a disorder of the endocrine system (Lopez, 2018).

Heat stress leads to oxidative stress, which leads to an increase in ROS in different cells and tissues of heat-stressed animals. The animal body has a defence mechanism against oxidative stress in the form of enzymes, SOD, GSH, and CAT antioxidants, which are increased by heat stress (Rakhshan et al., 2019). At present, MDA is widely-used to indicate the degree of oxidative stress (Castillo et al., 2006). The main source of MDA is the peroxides of polyunsaturated fatty acids in biological systems; increased lipid mobilisation to gain energy is an adaption to cold stress (Turk et al., 2015). In the current study, the sharp increase in MDA under LTHI indicates a negative energy balance under cold stress (Nonnecke et al., 2009), as well as a decrease in antioxidant capacity and an increase in free radicals (Zhang et al., 2011). SOD, as an essential antioxidant enzyme, in the blood can eliminate superoxide radicals in the body (Lei et al., 2015). The content of SOD in LTHI was substantially higher than that in MTHI and HTHI, which is consistent with other studies (Yatoo et al., 2014). CAT and GPX are important cell protective enzymes in animals. They can effectively remove hydrogen peroxide in plants, catalyse the decomposition of H202, and prevent excessive levels of reactive oxygen species in cells (Colakoglu et al., 2017). In the current study, LTHI induced stress in dairy cows, resulting in a sharp increase in CAT content.

Damage to the immune system weakens the disease resistance of dairy cows, increases the risk of susceptibility, and affects the health of dairy cows (Liu, 2018). IL-2 and IL-10 are cytokines with immunomodulatory activity, which act on lymphocytes and macrophages; regulate the activation, proliferation, and differentiation of T cells and B cells; and play an important role in the inflammatory response (Ge, 2018). Consistent with previous studies, LTHI and HTHI led to the increase in IL-2 and IL-10, which may control the risk of immune dysfunction through a stress protection mechanism. TNF-a is a cytokine that can kill or necrotise tumour cells. An increase in TNF-a indicates that cows are suffering from stress and inflammation has been caused (Min, 2016). The data indicate that LTHI led to an increase in TNF-a with calving; specific reasons need to be investigated further. In the current study, LTHI and HTHI promoted the body to resist stress by increasing the secretion of serum IgG after calving (Xu et al., 2017). The transfer of IgG from blood to the udder is related to the synthesis of milk. If the degree of endogenous inflammation exceeds the regulatory capacity of the immune system, lactation performance will deteriorate (McCarthy et al., 2016).

In summary, the results clearly show that oxidative stress, an inflammatory response, and endocrine imbalance of lactating dairy cows occur in hot summers and cold-wet winters in comparison with more comfortable seasons, i.e., spring and autumn. It is recommended that environmental management of keeping cows cool or warm should be taken in adaption to extreme weather during this sensitive periparturient period.

 

Acknowledgements

This research was supported by grants from the National Key Research and Development Project (2023YFD1301004), Natural Science Foundation of Hubei Province (2022CFB327), National Key Research and Development Program Intergovernmental Cooperation on International Science and Technology innovation (2021YFE0115500), National Dairy Technology Innovation Center project (No.2022-Scientific Research-3), and Hubei International Cooperation Project (2022EHB043).

Authors' contributions

Conceptualization, Yang Geng; Data curation, Yang Geng and Tianzun Li; Formal analysis, Yang Geng and Hongyang Xu; Funding acquisition, ZhiLi Qi; Investigation, Yang Geng, Tianzun Li, Hongyang Xu, Yulai Lu, Yinga Wu, Rouqi Wang and Deyuan Luo; Methodology, Hongyang Xu; Project administration, ZhiLi Qi; Resources, ZhiLi Qi; Supervision, ZhiLi Qi; Validation, Yang Geng, Tianzun Li, Hongyang Xu, Yulai Lu, Yinga Wu, Rouqi Wang, and Deyuan Luo; Writing-original draft, Hongyang Xu; Writing-review & editing, Yang Geng

Conflict of interest declaration

The authors declare that there is no conflict of interest related to this article.

 

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Submitted 18 March 2024
Accepted 13 May 2024
Published 30 May 2024

 

 

# Corresponding author: zhiliqi@mail.hzau.edu.cn

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