Metabolic biomarkers, body condition, uterine inflammation and response to superovulation in lactating Holstein cows

Metabolic biomarkers, body condition, uterine inflammation and response to superovulation in lactating Holstein cows

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Journal Pre-proof Metabolic biomarkers, body condition, uterine inflammation and response to superovulation in lactating Holstein cows R. Kasimanickam, V. Kasimanickam, J.P. Kastelic, K. Ramsey PII:

S0093-691X(20)30102-3

DOI:

https://doi.org/10.1016/j.theriogenology.2020.02.006

Reference:

THE 15386

To appear in:

Theriogenology

Received Date: 4 February 2019 Revised Date:

10 November 2019

Accepted Date: 4 February 2020

Please cite this article as: Kasimanickam R, Kasimanickam V, Kastelic JP, Ramsey K, Metabolic biomarkers, body condition, uterine inflammation and response to superovulation in lactating Holstein cows, Theriogenology (2020), doi: https://doi.org/10.1016/j.theriogenology.2020.02.006. This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. © 2020 Published by Elsevier Inc.

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Metabolic biomarkers, body condition, uterine inflammation and response to superovulation in

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lactating Holstein cows

3 Kasimanickam R*1, Kasimanickam V12, Kastelic JP3, Ramsey K1

4 1

5 6 7 8

Department of Veterinary Clinical Sciences, 2Center for Reproductive Biology,

College of Veterinary Medicine, Washington State University, Pullman, WA 99164 3

Department of Production Animal Health, University of Calgary, Faculty of Veterinary Medicine, Calgary, AB, Canada

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Corresponding author: [email protected]

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Abstract

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The objective was to determine associations between response to superovulation and

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body condition, subclinical endometritis and circulating metabolic biomarkers [adiponectin,

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leptin, insulin, IGF1, tumor necrosis factor (TNF) α, interleukin (IL) 1β, IL6, and urea] in

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lactating dairy cows. Ten multiparous lactating Holstein cows in each body condition score (1 to

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5; 1 emaciated; 5 obese) category (BCSC) 2.00 to < 2.50 (BCSC1), 2.50 to < 3.00 (BCSC2),

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3.00 to <3.50 (BCSC3), 3.50 to <4.00 (BCSC4) and 4.00 to 5.00 (BCSC5) groups (total n=50)

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were randomly selected and superovulated, timed artificially inseminated with frozen-thawed

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semen from three sires and embryos collected (n = 50 collections). At embryo collection, blood

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samples and embryo recovery fluid were collected for determination of metabolic markers and

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presence of subclinical endometritis (lavage technique; > 6% PMN). In total, 379 embryos were

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collected (average of 7.6 embryos per superovulation). Mean numbers of total ova and embryos

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was greater for cows in BCSC2, BCSC3 and BCSC4 groups compared with cows in BCSC1 and

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BCSC5 groups (P<0.01). Total number of transferrable embryos were greater for cows in BCSC

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2 and BCSC3 groups compared with cows in BCSC1, BCSC4 and BCSC5 groups (P<0.01).

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Mean number of total ova and embryos and of transferrable embryos was higher for cows with 0

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or 1 to 6% PMN compared to cows with >6% PMN (P<0.01). In addition, there was a quadratic

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association between blood urea nitrogen concentrations and % transferrable embryos (r2=0.85;

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P<0.05) and between BCS and % transferrable embryos (r2=0.73; P<0.05). Circulating

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adiponectin, leptin, insulin, IGF1 and TNFα were greater in cows with moderate to good body

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condition compared to thin or obese cows (P<0.05). Circulating adiponectin, leptin, IGF1 and

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insulin were greater in normal cows (≤ 6% PMNs), whereas, TNFα and IL1β and IL6 were

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greater in cows with subclinical endometritis (P<0.05). In conclusion, BCS and subclinical

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endometrial inflammation were associated with superovulatory response and embryo quality.

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Further, circulating metabolic biomarkers were associated with superovulatory response and

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embryo quality, likely due to donor’s metabolic status and uterine environment. Optimizing

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superovulatory responses and embryo quality in lactating dairy cows requires management of

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nutrition and uterine health.

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Keywords: Dairy cows; Superovulation, Metabolic biomarkers; Body condition; subclinical

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endometritis;

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1 Introduction

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Early embryo development during the first week after fertilization in modern lactating

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dairy cows is suboptimal, with only ~50% of embryos reported viable by Day 7 post fertilization

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[1]. Factors affecting dairy cow fertility include genetics, diseases and management, likely by

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influencing uterine environment, oocyte quality and embryo development. Diet, milk production,

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energy status and blood urea concentrations (BUN) have been associated with reduced fertility in

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dairy cows [2-6]. Elevated BUN resulting from excess rumen degradable protein or dietary urea

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decreases uterine luminal pH in cows and ewes, increasing embryonic loss and reducing

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pregnancy rate [5-9]. Peripartum loss in body condition alters metabolic profiles and increases

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incidence of metabolic diseases in postpartum dairy cows; these aberrant metabolic profiles may

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have negative effects on the uterus and developing embryo later in lactation, when rebreeding

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commences [10].

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Adipokines [adiponectin, leptin, tumor necrosis factor (TNF) α and interleukins (IL)],

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secreted by adipose tissue, communicate with brain and peripheral tissues [11,12]. Adiponectin

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regulates carbohydrate and lipid metabolism and has both anti-inflammatory and anti-obesity

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properties, whereas TNFα and IL6 are pro-inflammatory cytokines [13]. Leptin regulates feed

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intake as well as metabolic and endocrine functions and also modulates immunity, inflammation

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and hematopoiesis [14]. Adiponectin and leptin together normalize insulin action in severely

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insulin-resistant animals [15]. Leptin also improves insulin resistance and reduces

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hyperlipidemia. Adiponectin production is stimulated by agonists of peroxisome proliferator-

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activated receptor-gamma (PPARG), an action that may contribute to the insulin-sensitizing

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effects of this class of compounds [16]. Production of adiponectin, leptin and insulin in cattle are

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influenced by nutritional status. Assessing body condition of cows is a practical method of

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evaluating nutritional status of the cattle.

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Adiponectin and its receptor 1 and 2, leptin, IGF and insulin have roles in early embryo

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development. Adiponectin has direct effects on ovarian function and early embryo development

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[17] and also has indirect effects on embryos via modulation of insulin and IGF-I [18]. In

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oocytes retrieved from calf ovaries, adding leptin to the in vitro maturation medium enhanced

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meiotic maturation, embryo development and embryo quality [19]. In developing bovine

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blastocysts, insulin blocked apoptosis and acted as a survival factor, whereas IGF-I stimulated

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blastocyst development and increased blastomere numbers. Collectively, these studies

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highlighted associations between these metabolic biomarkers and embryo quality.

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Our objective was to determine associations between circulating metabolic biomarkers

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[adiponectin, leptin, insulin, IGF1, tumor necrosis factor (TNF) α, interleukins (IL) 1β and 6, and

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urea], body condition, uterine inflammation and superovulation response in lactating dairy cows.

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2 Materials and methods

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This study was performed in accordance with the ethics, standard operating procedure, handling

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and use of animals, collection and use of biomaterials for research.

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2.1 Cows

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Ten multiparous lactating Holstein cows (second to fifth lactation) in each body condition

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score (1 to 5; 1 emaciated; 5, obese) category (BCSC) 2.00 to < 2.50 (BCSC1), 2.50 to < 3.00

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(BCSC2), 3.00 to <3.50 (BCSC3), 3.50 to <4.00 (BCSC4) and 4.00 to 5.00 (BCSC5) (total n=50

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cows) were randomly selected as embryo donors. Each cow was superovulated once and

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embryos collected. At enrolment, cows were between 60 and 90 days in milk and were housed in

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free-stall barns. Cows were not submitted for breeding prior to enrolment. Cows were fed twice

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daily a total mixed ration to meet or exceed dietary requirements for lactating Holstein cows

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weighing 550 to 800 kg and producing 25 to 35 kg of 3.5% fat-corrected milk.

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2.2 Superovulation

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A schematic presentation of superovulation and embryo collection is shown (Figure 1).

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Briefly, on Day 0, all donor cows were given a progesterone-releasing intravaginal insert (CIDR;

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1.38 g of progesterone; Eazi-Breed™ CIDR® Cattle Insert; Zoetis Animal Health, New York,

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NY, USA) and gonadorelin hydrochloride (GnRH; 2 mL (100 µg), im, Factrel®; Zoetis Animal

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Health). On Day 4 (84 h after GnRH injection), superovulation with Folltropin-V® (Follicle

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stimulating hormone (FSH) equivalent to 400 mg NIH-FSH-P1; im; Bioniche Animal Health,

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Athens, GA, USA) was initiated, with twice-daily administration of a decreasing dose over 4.5 d.

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Dinoprost (PGF2α; 5 mL (25 mg) im; Lutalyse® sterile solution; Zoetis Animal Health) were

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concurrently administered with the last two FSH injections and progesterone inserts removed

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concurrent with the penultimate FSH treatment (Day 7 PM). Ovulation was induced with GnRH

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(100 µg im; Zoetis Animal Health) 44 h after progesterone insert removal and cows were fixed-

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time artificially inseminated 12 and 24 h after GnRH injection. The sires (n=3) were randomly

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assigned to donor cows. The sire conception rate (SCR) score of all three sires that were used to

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inseminate cows were + 4.

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2.3 Assessment of number of corpora lutea

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One clinician assessed number of corpora lutea (CL) by transrectal ultrasonography

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(Aloka 500, Sysmed Lab, Inc., Chicago, IL, USA) with 5 MHz, linear-array transducer on Day 7,

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immediately before performing the embryo flushing procedure.

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2.4 Embryo collection

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Embryos were collected non-surgically from donor cows on Day 7 after second AI. A

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sterile 16 Fr. two-way Foley catheter with a 5 cm3 balloon (Agtech Inc., Manhattan, KS, USA)

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was positioned in the uterine horn and embryo collection medium (Agtech Inc.) was introduced

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by gravity flow through “Y”-junction tubing. Each uterine horn was flushed individually with

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~200 to 250 mL of medium (3 to 5 flushes per horn) which was passed through an Em-Con

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Embryo Collection Filter (Agtech Inc.) and a small volume of recovered fluid retained in the

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filter. Recovered fluid was transferred from embryo filter into flat, gridded search petri dishes

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and examined under a stereoscope for presence of embryo. Once identified, embryos were

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transferred to another petri dish with holding medium and evaluated for quality and stage of

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development, as described [20]). For consistency, cows with zero response to superovulation

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were also flushed in the same manner for determination of %PMN. Zero response was defined as

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cows with no CL and zero embryo yield following superovulation treatment.

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2.5 Endometrial samples

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Evaluation of endometrial cytology was done as described [21], with some modifications.

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Briefly, 10 mL of clear embryo recovery fluid following uterine flushing was transferred to a 10

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mL polystyrene centrifuge tube (Corning, Corning, NY, USA) without preservatives. Samples

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were centrifuged at 800 × g for 10 min and supernatant discarded. A drop of sediment was

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streaked on to a clean microscopic slide and air-dried. Slides were fixed with cytofixative

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(Cytoprep; Fishers Scientific) and stained with modified Giemsa stain (Protocol-Hema3;

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Biochemical Sciences, Swedesboro, New Jersey, USA). A total of 300 cells were counted under

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a microscope (x 400 magnification) to determine % PMN. To determine the correlation between

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the number of PMN and superovulation response, we categorized %PMN in three groups %

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PMN – 0, % PMN - 1 to 6 and %PMN - >6.

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2.6 Blood metabolites

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2.6.1 Blood sampling and BUN analysis

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On day of embryo collection, blood samples were collected by coccygeal venipuncture

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into evacuated tubes (Becton Dickinson, Franklin Lakes, NJ, USA), held at ambient temperature

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for 5 min then placed on ice, centrifuged at 1200 g (5 ºC) for 15 min within 2 h after collection

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and serum separated and frozen (-20 °C). Samples were subsequently thawed, and BUN

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concentrations measured with ELISA (MBS9376646; MyBioSource, San Diego, CA USA), in

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accordance with manufacturer’s instructions.

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2.6.2 Biomarkers analyses

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Serum cytokines concentrations were determined as described [22]. All primary and

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secondary antibodies were purchased from Santa Cruz Biotechnology (Santa Cruz

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Biotechnology, CA, USA), unless otherwise stated. Briefly, 96-well plates were pre-coated with

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standards and samples for all serum cytokines and kept at 4 °C for at least 24 h. For biomarker

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determination, 100 µL of respective primary antibodies (Supplementary File, Table 1),

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recommended for use in cattle were added to the respective 96-well plates. Corresponding

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peptides or proteins (Supplementary File, Table 1) used for antibody production were used to

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prepare standards. Ranges for standard dilution and serum dilution for each protein target were

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determined from a pre-run of standards and at least three samples. In short, at least eight

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dilutions of each sample (1 in 10, 1 in 50, 1 in 100, 1 in 200, 1 in 400, 1 in 600, 1 in 800 and 1 in

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1000) were used to make dilution curve and compared to the regression line of the standard [22-

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25]. Then, the serum dilution paralleling the regression line of standard was selected. Standard

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dilution ranges were carefully chosen to include lowest and highest readings of all samples [22-

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25]. The shape of the regression line and serum dilution used was different for each target. Each

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96-well plate had one set of standards and samples in triplicate. The ELISA plates were coated

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with 100 µL of standards or samples. Non-specific protein binding was blocked by adding 150

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µL of either 2% donkey or goat serum in PBS to each well (depending on the species used to

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raise secondary antibodies). The plate was left on a rocking platform at room temperature for 60

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min with blocking buffer. Wash buffer was prepared with 0.05% tween20 in PBS. Following

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non-specific protein blocking, samples were incubated (60 min) with diluted primary antibodies.

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Antibody concentrations were initially 200 µg/mL, with dilution to 1:100 before incubation.

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After washing with wash buffer, 100 µL of secondary antibodies conjugated with horse radish

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peroxidase (Supplementary File, Table 1) was added to each well and incubated for 60 min.

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After washing with buffer, 100 µL of reagent containing the substrate of acetyl cholinesterase

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(N301, Thermo Scientific, Logan, UT, USA) was added for the enzymatic reaction until color

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development and then 50 µL of stop solution (N600, Thermo Scientific) was added. Plates were

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read at 450 nm using a Glomax®-Multi Detection System (Promega, Madison, WI, USA) and

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serum concentrations of adiponectin, leptin, IGF1, insulin, TNFα, IL6, IL1β were calculated

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from standard curves (using mean readings and dilution factors). Intra- and inter-assay CVs were

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6.9 and 9.8% for adiponectin, 7.1 and 10.4% for leptin, 7.1 and 10.8% for IGF1, 9.0 and 10.2%

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for insulin, 7.8 and 12.2% for IL6, 9.6 and 12.3% for IL1β, and 8.5 and 13.2% for TNFα,

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respectively.

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2.7 Statistical analyses

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Data were analyzed with Statistical Analysis System (SAS) version 9.4 (SAS Institute,

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Inc., Cary, NC, USA) software and presented as mean ± SEM. Datasets were tested for normality

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distribution by Komogorov-Smirnov test and were log 10 or arcsine transformed as needed. Cow

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was used as the experimental unit for embryo number and quality. ANOVA and multiple

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comparisons by Tukey test were used for the following: 1) effect of body condition on number of

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corpora lutea, total ova and embryos and transferable embryos and embryo stages; 2) association

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of body condition (thin, BCSC1; moderate to good, BCSC2, BCSC3 and BCSC4, obese,

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BCSC5) on adipokines; 3) effect of uterine inflammation category at embryo recovery on

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number of corpora lutea and number of embryos classified to various quality grades; 4)

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association of uterine inflammation on adipokines; 5) effect of sire on uterine inflammation; 6)

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effect of sire on total ova and embryos and transferable embryos; and 6) effect of BUN on

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transferrable embryos (%, embryo was used as experimental unit). Correlations between body

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condition and BUN concentrations and between BUN concentrations and transferrable embryo

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were assessed by Pearson Correlation Coefficient cows with 0 and 1 to 6% PMN were combined

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and defined as having no subclinical endometritis. For all analyses, P > 0.05 was considered non-

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significant.

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3 Results

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The %PMN in endometrial samples ranged from 0 to 54%. At embryo collection on Day

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7, 26 (52.0%), 13 (26%) and 11 (22%) cows had 0, 1 to 6 and >6 %PMNs, respectively. Sire did

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not influence %PMN (P>0.1) A total of 379 ova and embryos were collected from 50 embryo

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collections with 7.6 (±1.6) ova and embryos per superovulation. Percentage of transferrable

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embryos (Grade 1, 2 and 3) was 76.8 (291/379) and percentage of degenerate

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embryos/unfertilized oocytes was 23.2 (88/379). Frozen thawed semen from Sires 1, 2 and 3

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were used to inseminate 17, 17 and 16 donors, respectively. Number and percentage of total ova

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and embryos were not different among sires (Sire 1, 31.4% (119/379), Sire 2, 32.7% (124/379)

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and Sire 3, 35.9% (136/379); P>0.1). Further, transferable embryos were not different among

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sires (Sire 1, 31.3% (91/291), 34.0% 99/291, 34.7% (101/291); P>0.1).

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3.1. Effect of cows’ body condition on embryo number and quality

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Considering body condition score at the beginning of superovulation procedure, mean

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number of total ova and embryos was greater for cows in BCSC2, BCSC3 and BCSC4 groups

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compared with cows in BCSC1 and BCSC5 groups (P<0.01; Table 1). Total number of

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transferrable embryos were greater for cows in BCSC2 and BCSC3 groups 2 compared with

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cows in BCSC1, BCSC 4 and BCSC5 groups (P<0.01). Number of transferrable embryos was

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not different between cows in BCSC1, BCSC 4 and BCSC5 groups (P>0.1). Mean number of

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morulae collected was greater for cows in BCSC3 group compared with cows in BCSC1,

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BCSC2, BCSC4 and BCSC5 groups, whereas number of blastocysts recovered were greater for

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cows in BCSC2, BCSC3, BCSC4 groups compared to cows in BCSC1 and BCSC5 groups.

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Percentages of superovulation that yielded no ova and embryos for cows in BCSC1, BCSC2,

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BCSC3, BCSC4 and BCSC5 groups were 20, 10, 10, 20 and 40%, respectively. There was a

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quadratic relationship between BCS and % transferrable embryo (r2=0.73; P<0.05).

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3.2. Effect of endometrial PMN percentage Considering PMN categories at embryo flush, mean number of total ova and embryos

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was higher for cows with 0 or 1 to 6% PMN compared to cows with >6% PMN (P<0.01; Table

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2). Mean number of transferrable embryos were greater for cows with 0% and 1 to 6% PMN

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compared to cows with >6% PMN (P<0.01; Table 2). Mean number of morula and blastocysts

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were recovered from cows with < 6% PMN were greater compared to cows with > 6% PMN.

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Percentages of superovulation that yielded no embryos for cows with 0, 1 to 6 and >6% PMN

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were 20, 20 and 60%, respectively.

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3.3. Effect of BUN on embryo quality

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There was a linear association between body condition score and BUN concentration

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(r2=0.82; P<0.05; Figure 2) and a quadratic relationship between BUN concentrations and %

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transferrable embryos (r2=0.86; P<0.05).

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3.4 Association of body condition, uterine inflammation and adipokines, and effect of adipokines

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on embryo quality

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Serum concentrations of adipokines (except ILs), IGF1 and insulin were greater in cows

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with moderate to good body condition (P<0.05; Figure 3). Serum leptin was lower in thin

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compared with moderate to obese cows (P<0.05). Serum adiponectin, leptin, IGF1 and insulin

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were greater in cows with < 6% PMNs (P<0.05), whereas, TNFα and ILs were greater in cows

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with > 6 %PMN (P<0.05).

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Considering body condition of donor cows, there were quadratic associations between

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metabolic biomarkers and transferable embryos, and ‘r’ varied from 0.82 to 0.94 (P<0.05).

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Considering subclinical endometritis of donor cows, there were positive correlations between

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transferable embryos and adiponectin, leptin, insulin and IGF1, and ‘r’ varied from 0.52 to 0.85

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(P<0.05). Furthermore, there was negative correlation between transferable embryos and TNFα,

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IL1β and IL6 (P<0.05).

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4 Discussion

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Our objective was to determine associations among circulating metabolic biomarkers

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[adiponectin, leptin, insulin, IGF1, tumor necrosis factor (TNF) α, IL1β, IL6, and urea], body

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condition, subclinical endometritis and embryo quality in lactating dairy cows. Results observed

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in the current study was supported by previous reports regarding associations among BUN, BCS

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and embryo quality [6,7]. Furthermore, our data increased understanding of how embryo quality

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is influenced by adipokines, BCS and uterine inflammation in modern dairy cows [3,26,27].

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Reproductive efficiency in lactating dairy cows is a long-standing concern. Nutritional

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demands and inherent stress during early lactation are important contributors to failure to re-

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establish cyclicity, ovulate, and/or become pregnant [28-31]. Energy status has profound effects

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on metabolic homeostasis and reproductive performance of dairy cows [28-31]. Negative energy

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balance and accompanying loss of body condition is a major cause of ovarian inactivity during

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the first several weeks postpartum; thin cows had a greater incidence of anovulation than those in

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moderate to good body condition [32]. An adequate rise in post- ovulatory progesterone

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concentrations drives ‘normal’ temporal changes in the endometrium. This prepares the

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endometrium to release histotroph, a source of nutrition for embryos prior to attachment. A

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positive change in BCS between calving and breeding increased proportion of cows with >1

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ng/mL progesterone after AI [32-35]. These studies highlighted effects of BCS on progesterone

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concentrations, which are vital for uterine receptivity and fertility.

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Blood urea nitrogen concentration is a well-established measure for protein digestion and

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catabolism; high-protein diets and elevated BUN have been implicated in altered uterine pH,

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resulting in decreased reproductive performance in dairy cows [8,16,36,37]. Decreased fertility is

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likely a consequence of toxic effects of urea on oocytes and/or embryos [36,37]. Although

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number, quality and stage of development of recovered embryos were similar for cows with

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moderate or high PUN [38], transfer of frozen-thawed embryos to virgin heifers from moderate

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PUN donor cows increased pregnancy rate (35%; P<0.02) compared to transfer of embryos from

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high PUN donor cows (11%) [38]. Interestingly, pregnancy rate was not affected by neither

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recipient diet nor interaction of donor and recipient diets (P>0.05). Therefore, high PUN

300

concentrations in lactating dairy cows decreased embryo viability through effects exerted on the

301

oocyte or embryo before recovery (7 d after insemination). In the current study, there were

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quadratic associations between body condition score and BUN; BCS and % transferable

303

embryos; and between BUN and % transferrable embryos.

304

Effects of BCS, diets and biological markers on embryo yield and quality have been

305

reported. For example, BCS was closely associated with IGF and bST and embryo production in

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superovulated cows [39]. Giving donors bST increased embryo yield, attributed to increased

307

IGF1 concentrations in follicular fluid and peripheral plasma [40,41]. In a 2 x 2 factorial study of

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factors affecting embryo quality, there was an interaction between feed (high-energy diets or

309

feed restriction) and low or high LH during superovulation; therefore, it was concluded that both

14

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metabolic and endocrine status affect superovulatory success. Overfeeding results in high

311

peripheral concentrations of both LH and insulin, with negative effects on fertilization and

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embryo quality [42]. Similarly, there was an inverse relationship between overfeeding and in

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vivo embryo production [43,44]. In a study of the association of BCS with % transferable

314

embryos from fertilized ova and % transferable embryos from total ova [45], elevated but not

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lowered BCS was associated with decreased superovulatory response, as measured by number of

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corpora lutea (P<0.0001), total ova and embryos recovered (P=0.0004), and number of fertilized

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ova (P< 0.0001). However, no differences in number of transferable embryos were detected,

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primarily because percentage of fertilized ova that resulted in transferable embryos was greater

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(P<0.0001) in donors with higher BCS. Total number of ova and embryos were greater, but

320

number of transferable embryos lower in their study compared to the current study.

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Subclinical endometritis reduces fertility by creating an unreceptive uterine environment

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for developing embryos, possibly causing early embryonic loss [46,47]. In vitro production of

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embryos in fluid consistent with an inflamed uterine environment resulted in poor early

324

embryonic development and increased embryonic loss [48], consistent with a greater proportion

325

of PMN in the uterine lumen negatively affecting number of transferable embryos in the present

326

study. Several genes expressed in the endometrium of cows with subclinical endometritis during

327

early embryonic development plausibly affect downstream pathways essential for early

328

embryonic development in a negative way, resulting in poor embryo quality [48].

329

In the current study, adipokines (except ILs), IGF1 and insulin were greater in cows with

330

moderate to good body condition. Circulating adiponectin, leptin, IGF1 and insulin were greater

331

in cows with < 6% PMNs, whereas, TNFα and ILs were greater in cows with > 6%PMN.

332

Interestingly, more transferable embryos were produced by cows with moderate to good body

15

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condition and in cows without subclinical endometritis. We inferred metabolic biomarkers had

334

direct or indirect effects on superovulatory responses and embryo quality.

335

Adiponectin and its receptors AdipoR1 and AdipoR2 are present in bovine embryos

336

[49,50]. Furthermore, inclusion of adiponectin during oocyte maturation or embryo culture

337

promoted blastocyst formation in swine embryos [51]. However, in a bovine study, addition of

338

adiponectin during in vitro maturation did not affect oocyte maturation, embryo cleavage, or

339

development to the blastocyst stage [49]. Furthermore, adiponectin knock-out mice are fertile

340

[52]. Collectively, these studies confirmed species to species variation and that adiponectin was

341

not essential for fertility and/or embryo development. However, adiponectin can have an

342

important complementary role in regulation of female reproductive function. Adiponectin has

343

been implicated in modulation of ovarian and endometrial function, influencing periovulatory

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remodeling of the ovarian follicle, steroid synthesis/secretion as well as energy supply and

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inflammatory responses of endometrial cells [22,49,50,53-56].

346

In the current study, circulating leptin was lower in thin cows versus those that were in

347

moderate to obese condition (P<0.05). Leptin is involved in regulation of ovarian function,

348

oocyte maturation and pre‐implantation embryo development [57-59]. Leptin receptors have

349

been detected in porcine [60] and bovine embryos [61] and addition of leptin to in vitro

350

maturation medium enhanced meiotic maturation, and embryo development from calf oocytes,

351

improving embryo quality [19]. Furthermore, leptin administration during superovulation

352

increased embryo quality [62]. Goats given leptin had higher yield of transferable embryos

353

(P<0.005) with fewer apoptotic cells in blastocysts and fewer degenerated embryos (P<0.001)

354

compared to a control group [62]. Embryonic development also depends on cytoplasmic

355

maturation that involves organelle reorganization and storage of mRNAs, proteins and

16

356

transcription factors. Calf oocytes can resume meiosis and progress to MII after in vitro

357

maturation [63], but cytoplasmic maturation in vitro is generally compromised, reducing

358

developmental competence compared to oocytes from adults. Leptin may enhance cytoplasmic

359

maturation of oocytes and promote embryo development into blastocysts [19].

360

In cattle, IGF1 has an important role in follicular growth, oocyte competence acquisition

361

and embryo viability [41,64]; however, IGF1 can have either positive or negative effects on

362

embryo yield or viability, depending on its concentration during superovulation. Plasma IGF1

363

concentrations before superstimulation did not predict number and quality of embryos; however,

364

there was an association between IGF1 concentration at estrus and on day of embryo collection

365

with total grade 1 embryo yield [65]. In general, physiological concentrations appeared to

366

improve embryo quality, mainly due to mitogenic and anti-apoptotic activities of IGF1 [66].

367

However, high IGF1 concentrations are associated with decreased embryo viability and a

368

concomitant increase of apoptosis. In the current study, IGF1 concentrations had a quadratic

369

association with transferable embryos, indicating that extreme IGF1concentrations were

370

detrimental to embryo number and quality.

371

Insulin has crucial functions in energy metabolism; low circulating insulin concentrations

372

in dairy cows indicate energy imbalance, especially during postpartum period. Negative

373

consequences of low circulating insulin concentrations include delayed resumption of

374

postpartum cyclicity and unfavorable conditions for early embryonic development. Insulin has

375

been used for many years as a stimulatory factor for in vitro cell culture and for in vitro embryo

376

production. However, there are variable effects of insulin on early embryonic development, with

377

some studies reporting changes in blastocyst cell numbers [67], whereas other studies did not

378

detect any effects on blastocyst rate [67-71], with one report of developmental stimulation until

17

379

the morula stage [71]. Responses to exogenous insulin vary among species. There are direct

380

effects of insulin on expression of anti Müllerian hormone (AMH) in women [72], whereas

381

insulin supplementation in single-step embryo culture medium from day 0 through days 5 or 6

382

improved development of human embryos [73]. In vitro development of murine embryos may be

383

enhanced with exogenous insulin, although it had no detectable beneficial effect on bovine

384

embryo development [74]. Insulin treatment decreased apoptosis, implying it may function as a

385

mitogen or anti-apoptotic factor during early bovine embryonic development [75]. Further,

386

reduced fertility in obese dairy cows may be connected to impaired insulin sensitivity [76]. In

387

general, either high or low insulin concentrations can be deleterious to fertility and early

388

embryonic development. In the current study, thin or obese cows yielded lower % transferable

389

embryos, associated with low and high insulin concentrations respectively, compared to

390

moderate to good conditioned cows.

391

Pro-inflammatory cytokines IL1β, IL6 and TNFα were increased both in circulation [22]

392

and in endometrium of cows with uterine inflammation [48]. In a previous study, circulating

393

concentrations of TNFα, IL1β and IL6 were greater in postpartum cows with uterine

394

inflammatory conditions that also had lower BCS [22]. In the present study, TNFα, IL1β and IL6

395

were elevated in cows with subclinical endometritis at embryo collection. It should be noted that

396

%PMN cut-off in the previous study was 18% [48] whereas, in the current study it was 6%. In

397

addition, there was a quadratic association between TNFα, IL1β, IL6 and BCS. It should be

398

noted that 18% PMN cut-off for sampling at 21 to 34 DIM and 10% PMN cut-off for sampling at

399

35 to 49 DIM were used [77]. It has been reported that as DIM increases %PMN cut-off

400

decreases [77]; as sampling in this study was done >60 DIM, the cut-off value was 6% PMN.

18

401

Elevated serum pro-inflammatory cytokines including TNF and IL1β are associated with

402

fewer viable inner cell mass cells in blastocysts [78,79,81,82]. In contrast, proinflammatory

403

cytokines secreted by an embryo can regulate release of embryo-trophic factor from the uterus

404

[80]. In addition, early embryo derived factors suppress expression of TNFα and IL1β in uterus.

405

During early pregnancy, there is evidence for production of IL1β by both embryo and

406

reproductive tract. IL1β promotes embryonic development through increased secretion of

407

embryonic leukemia inhibitory factor (LIF) [81]. Maximum stimulatory effects of IL1β on

408

growth of embryos was greatest at a concentration of 0.1 ng/ml [82]. In addition, IL1β may

409

inhibit some metabolic pathway or gene transcription; perhaps limited inhibition is beneficial for

410

development, whereas more profound inhibition reduces development.

411

Previous studies [42,45] reported a greater number of flushes resulted in zero ova and

412

embryos following superovulation compared to the current study. This apparent difference

413

between studies was plausibly due to selection pressure towards production traits in our cow

414

population. When donor cows were highly preselected for production, 22.6% of all flushes

415

resulted in zero ova and embryos [83].

416

From a genetic perspective, number of total ova and embryos describes a cow’s

417

performance and only depend on her genetic effect, whereas for traits describing embryonic

418

survival, paternal effect is also relevant [84]. High SCR bulls produced a lower percentage of

419

unfertilized oocytes and fewer degenerated embryos compared to low SCR bulls [85]. In the

420

current study, there was no difference among sires for total number of ova and embryos, or

421

percentage of transferable embryos. However, only high SCR (+4) sires were used.

422 423

4.1 Conclusions

19

424 425

In conclusion, embryo production and development were influenced by body condition

426

score, subclinical endometrial inflammation and various metabolic biomarkers. Further,

427

circulating adipokines, IGF1, insulin and urea may affect embryo quality, due to their roles in

428

donor’s metabolic status and uterine environment. Nutrition and uterine health of lactating dairy

429

cows should be well managed to promote superovulatory response and embryo quality.

430 431

Conflict of interest

432 433

The authors declare no conflict of interest.

434 435

Authors’ contributions

436 437

RK and VK contributed to conception and design of the study; RK collected samples and

438

data; RK, VK and KR performed analysis, interpretation, drafting of the article. RK, VK and JK

439

revising it critically for important intellectual content, and RK, VK, KR, JK approved the final

440

version.

20

441

References

442 443

[1] Santos JEP, Thatcher WW, Chebel RC, Cerri RLA, Galvão KN. The effect of embryonic

444

death rates in cattle on the efficacy of estrus synchronization programs. Anim Reprod Sci

445

2004;82-83;513-535.

446

[2] Kaim M, Folman Y, Neumark H. The effect of protein intake and lactation number on post-

447

partum body weight loss and reproductive performance of dairy cows. Anim Prod 1983:37;229-

448

235.

449

[3] Ropstad E, Refsdal AO. Herd reproductive performance related to urea concentration in bulk

450

milk. Acta Vet Scand 1987;28:55-63.

451

[4] Canfield RW, Sniffen CJ, Butler WR. Effects of excess degradable protein on postpartum

452

reproduction and energy balance in dairy cattle. J Dairy Sci 1990;73:2342-2349.

453

[5] Elrod CC, Butler WR. Reduction of fertility and alteration of uterine pH in heifers fed excess

454

ruminally degradable protein. J Anim Sci 1993;71:694-701.

455

[6] Butler WR, Calaman JJ, Beam SW. Plasma and milk urea nitrogen in relation to pregnancy

456

rate in lactating dairy cattle. J Anim Sci 1996;74:858-865.

457

[7] McEvoy T, Robinson J, Aitken R, Findlay P, Robertson I.1997. Dietary excesses of urea

458

influence the viability and metabolism of preimplantation sheep embryos and may affect fetal

459

growth among the survivors. Anim Reprod Sci 1997;47:71-90.

460

[8] Blanchard T, Ferguson JD, Love L, Takeda T, Henderson B, Hasler J, Chalupa W. Effect of

461

dietary crude protein type on fertilization and embryo quality in dairy cattle. Am J Vet Res

462

1990;51:905-908.

21

463

[9] Fahey J, Boland MP, O’Callaghan D. Effects of dietary urea on embryo development in

464

superovulated donor ewes and on embryo survival following transfer in recipient ewes. Anim Sci

465

2001;2:395-400.

466

[10] Roche JF. The effect of nutritional management of the dairy cow on reproductive efficiency.

467

Anim Reprod Sci 2006; 96:282-296.

468

[11] Hotamisligil GS. Inflammation and metabolic disorders. Nature. 2006;444:860e7.

469

[12] Tilg H, Moschen AR. Adipocytokines: mediators linking adipose tissue, inflammation and

470

immunity. Nat Rev Immuno 2006;6:772e83.

471

[13] Bastard JP, Maachi M, Lagathu C, Kim MJ, Caron M, Vidal H, et al. Recent advances in the

472

relationship between obesity, inflammation, and insulin resistance. Eur Cytokine Netw

473

2006;17:4-12.

474

[14] Schoenberg KM, Perfield KL JK, Bradford BJ, Boisclair YR, Overton TR. Effects of

475

prepartum 2,4-thiazolidinedione on insulin sensitivity, plasma concentrations of tumor necrosis

476

factor-α and leptin, and adipose tissue gene expression. J Dairy Sci 2011;94:5523-5532.

477

[15] Havel PJ. Control of energy homeostasis and insulin action by adipocyte hormones: leptin,

478

acylation stimulating protein, and adiponectin. Curr Opin Lipidol 2002;13:51-59.

479

[16] Havel PJ. Role of adipose tissue in body-weight regulation: mechanisms regulating leptin

480

production and energy balance. Proc Nutr Soc 2000;59:359-371.

481

[17] Palin MF, Bordignon VV, Murphy BD. Adiponectin and the control of female reproductive

482

functions. Vitam Horm 2012;90:239-87.

483

[18] Schindler M, Fischer S, Thieme R, Fischer B, Santos AN. cAMP-responsive element

484

binding protein: a vital link in embryonic hormonal adaptation. Endocrinology 2013;154:2208-

485

2221.

22

486

[19] Jia Z, Zhang J, Wu Z, Tian J. Leptin enhances maturation and development of calf oocytes

487

in vitro. Reprod Domest Anim 2012;47:718-23.

488

[20] Bo GA, Mapletoft RJ. Evaluation and classification of bovine embryos. Anim Reprod

489

2013;10:344e8.

490

[21] Kasimanickam R, Duffield TF, Foster RA, Gartley CJ, Leslie KE, Walton JS, et al.

491

A comparison of the cytobrush and uterine lavage techniques to evaluate endometrial cytology in

492

clinically normal postpartum dairy cows. Can Vet J 2005;46:255-259.

493

[22] Kasimanickam RK, Kasimanickam VR, Olsen JR, Jeffress EJ, Moore DA, Kastelic JP.

494

Associations among serum pro- and anti-inflammatory cytokines, metabolic mediators, body

495

condition, and uterine disease in postpartum dairy cows. Reprod Biol Endocrinol 2013;11:103.

496

[23] Sinha MK, Songer T, Xiao Q, Sloan JH, Wang J, Ji S, et al. Analytical validation and

497

biological evaluation of a high molecular-weight adiponectin ELISA. Clin Chem 2007;53:2144–

498

2151.

499

[24] Tvarijonaviciute A, Martínez-Subiela S, Ceron JJ. Validation of 2 commercially available

500

enzyme-linked immunosorbent assays for adiponectin determination in canine serum samples.

501

Can J Vet Res 2010;74:279-285.

502

[25] Reed GF, Lynn F, Meade BD. Use of coefficient of variation in assessing variability of

503

quantitative assays. Clin Diagn Lab Immunol 2002;9:1235-1239.

504

[26] Carvalho PD, Souza AH, Amundson MC, Hackbar, KS, Fuenzalida MJ, Herlihy MM, et al.

505

Relationships between fertility and postpartum changes in body condition and body weight in

506

lactating dairy cows. J Dairy Sci 2014; 97:3666-3683.

507

[27] Butler WR. Effect of protein nutrition on ovarian and uterine physiology in dairy cattle. J

508

Dairy Sci 1998;81:2533-2539.

23

509

[28] Jolly PD, McDougall S, Fitzpatrick LA, Macmillan KL, Entwistle KW. Physiological

510

effects of undernutrition on postpartum anoestrus in dairy cows. J Reprod Fertil Suppl

511

1995:49:477-492.

512

[29] Butler WR. Nutritional effects on resumption of cyclicity and conception rate in postpartum

513

dairy cows. Anim Sci Occas Publ 2003;26:133-145.

514

[30] Butler WR. Energy balance relationships with follicular development, ovulation and fertility

515

in postpartum dairy cows. Livest Prod Sci 2003;83:211-218.

516

[31] Jorritsma R, Wensing T, Kruip TAM, Vos PLAM, Noordhuizen JPTM. Metabolic changes

517

in early lactation and impaired reproductive performance in dairy cows. Vet Res 2003;34:11-26.

518

[32] Souza AH, Ayres H, Ferreira RM, Wiltbank MC. A new presynchronization system

519

(Double-Ovsynch) increases fertility at first postpartum timed AI in lactating dairy cows.

520

Theriogenology 2008;70:208-215.

521

[33] Gümen A, Guenther JN, Wiltbank, MC. Follicular size and response to Ovsynch versus

522

detection of estrus in anovular and ovular lactating dairy cows. J Dairy Sci 2003; 86:3184-3194.

523

[34] Lopez H, Satter LD, Wiltbank, MC. Relationship between level of milk production and

524

estrous behavior of lactating dairy cows. Anim Reprod Sci 2004; 81:209-223.

525

[35] Santos JP, Rutigliano HM, Filho MS. Risk factors for resumption of postpartum estrous

526

cycles and embryonic survival in lactating dairy cows. Anim Reprod Sci 2009; 110:207–221.

527

[36] Ferguson JD, Galligan DT, Blanchard T, Reeves M. Serum Urea Nitrogen and Conception

528

Rate: The Usefulness of Test Information. J Dairy Sci 1993; 76:3742-3746

529

[37] Ferguson JD, and Chalupa W. Impact of protein nutrition on reproduction in dairy cows. J

530

Dairy Sci 1989; 72:746-766.

24

531

[38] Rhoads ML, Rhoads RP, Gilbert RO, Toole R, Butler WR. Detrimental effects of high

532

plasma urea nitrogen levels on viability of embryos from lactating dairy cows. Anim Reprod Sci

533

2006;91:1-10.

534

[39] Velazquez MA, Newman M, Christie MF, Cripps PJ, Crowe MA, Smith RF, et al. The

535

usefulness of a single measurement of insulin-like growth factor-1 as a predictor of embryo yield

536

and pregnancy rates in a bovine MOET program. Theriogenology 2005;64:1977-1994.

537

[40] Herrler A, Einspanier R, Schams D, Niemann H. Effect of recombinant bovine somatotropin

538

(rBST) on follicular IGF-I contents and the ovarian response following superovulatory treatment

539

in dairy cows: a preliminary study. Theriogenology 1994;41:601-611.

540

[41] Moreira F, Badinga L, Burnley C, Thatcher WW. Bovine somatotropin increases embryonic

541

development in superovulated cows and improves post-transfer pregnancy rates when given to

542

lactating recipient cows. Theriogenology 2002;57:1371–1387.

543

[42] Bender RW, Hackbart KS, Dresch AR, Carvalho PD, Vieira LM, Crump PM, et al. Effects

544

of acute feed restriction combined with targeted use of increasing luteinizing hormone content of

545

follicle-stimulating hormone preparations on ovarian superstimulation, fertilization, and embryo

546

quality in lactating dairy cows. J Dairy Sci 2014;97:764-778.

547

[43] Yaakub H, O’Callaghan D, Boland MP. Effect of type and quantity of concentrates on

548

superovulation and embryo yield in beef heifers. Theriogenology 1999;51:1259-1266.

549

[44] Kadokawa H, Tameoka N, Uchiza M, Kimura Y, Yonai M. Short communication: a field

550

study on the relationship between body condition and embryo production in superovulated

551

Holstein yearling heifers. J Dairy Sci 2008;91:1087-1091.

25

552

[45] Garcia Guerra A, Rodriguez D, Villareal J, Albrecht A, Brogliatti G. Effects of condition

553

score on ovarian response and transferable embryos in superstimulated cows in Argentina.

554

Reprod Fert Dev 2007;19:307-308 (abstract).

555

[46] Hill J, Gilbert R. Reduced quality of bovine embryos cultured in media conditioned by

556

exposure to an inflamed endometrium. Aust Vet J 2008; 86:312-316.

557

[47] Borsberry S, Dobson H, Periparturient diseases and their effect on reproductive performance

558

in five dairy herds. Vet Rec 1989; 124:217-219.

559

[48] Kasimanickam R, Kasimanickam V, Kastelic JP. Mucin 1 and cytokines mRNA in

560

endometrium of dairy cows with postpartum uterine disease or repeat breeding. Theriogenology

561

2014; 81:952-958.

562

[49] Maillard V, Uzbekova S, Guignot F, Perreau C, Ramé C, Coyral-Castel S, et al. Effect of

563

adiponectin on bovine granulosa cell steroidogenesis, oocyte maturation and embryo

564

development. Reprod Biol Endocrinol 2010;8:23.

565

[50] Tabandeh MR, Hosseini A, Saeb M, Kafi M, Saeb S. Changes in the gene expression of

566

adiponectin and adiponectin receptors (AdipoR1 and AdipoR2) in ovarian follicular cells of

567

dairy cow at different stages of development. Theriogenology 2010;73:659-669.

568

[51] Chappaz E, Albornoz MS, Campos D, Chea L, Palin MF, Murphy BD. Adiponectin

569

enhances in vitro development of swine embryos. Dom Anim Endocrinol 2008;35:198-207.

570

[52] Ma K, Cabrero A, Saha PK, Kojima H, Li L, Chang BHJ, et al. Increased β-oxidation but no

571

insulin resistance or glucose intolerance in mice lacking adiponectin, J Biol Chem

572

2002;277:34658-34661.

573

[53] Ledoux S, Campos DB, Lopes FL, Dobias-Goff M, Palin MF, Murphy BD. Adiponectin

574

induces periovulatory changes in ovarian follicular cells. Endocrinology 2006;147:5178-5186.

26

575

[54] Takemura Y, Osuga Y, Yamauchi T, Kobayashi M, Harada M, Hirata T, et al. Expression of

576

adiponectin receptors and its possible implication in the human endometrium, Endocrinology

577

2006; 147:3203-3210.

578

[55] Chabrolle C, Tosca L, Dupont J. Regulation of adiponectin and its receptors in rat ovary by

579

human chorionic gonadotrophin treatment and potential involvement of adiponectin in granulosa

580

cell steroidogenesis. Reproduction 2007;133:719-731.

581

[56] Pierre P, Froment P, Negre D, Ramé C, Barateau V, Chabrolle C, et al. Role of adiponectin

582

receptors, AdipoR1and AdipoR2, in the steroidogenesis of the human granulosa tumor cell line,

583

KGN. Hum Reprod 2009;24:1-12.

584

[57] Barash IA, Cheung CC, Weigle DS, Hongping R, Kabigting EB, Kuijper JL, et al. Leptin is

585

a metabolic signal to the reproductive system. Endocrinology 1996;137:3144-3147.

586

[58] Kikuchi N, Andoh K, Abe Y, Yamada K, Mizumuma H, Ibuki Y. Inhibitory action of leptin

587

on early follicular growth differs in immature and adult mice. Biol Reprod 2001;65;66-71.

588

[59] Smith GD, Jackson LM, Foster DL. Leptin regulation of reproductive function and fertility.

589

Theriogenology 2002;57:73-86.

590

[60] Craig JA, Zhu H, Dyce PW, Wen L, Li J. Leptin enhances porcine preimplantation embryo

591

development in vitro. Mol Cell Endocrinol 2005;229:141-147.

592

[61] Boelhauve M, Sinowatz F, Wolf E, Paula-Lopes FF. Maturation of bovine oocytes in the

593

presence of leptin improves development and reduces apoptosis of in vitro-produced blastocysts.

594

Biol Reprod 2005;73:737-744.

595

[62] Batista AM, Gomes WA, Carvalho CC, Monteiro PL Jr, Silva FL, Almeida FC, et al. Effect

596

of leptin on in vivo goat embryo production. Reprod Domest Anim 2014;49:476-480.

27

597

[63] Revel F, Mermillod P, Peynot N, Renard JP, Heyman Y. Low developmental capacity of in

598

vitro matured and fertilized oocytes from calves compared with that of cows. J Reprod Fertil

599

1995;103:115-120.

600

[64] Velazquez MA, Zaraza J, Oropeza A, Webb R, Niemann H. The role of IGF1 in the in vivo

601

production of bovine embryos from superovulated donors. Reprod 2009;137:161-180.

602

[65] Abdel Aziz RL, Khalil AAY, Abdel-Wahab A, Hassan NY, Abdel-Hamied E,

603

Kasimanickam RK. Relationship among circulating anti-Müllerian hormone, insulin like growth

604

factor 1, cadmium and superovulatory response in dairy cows. Theriogenology 2017;100:72-79.

605

[66] Velazquez MA, Hermann D, Kues WA, Niemann H. Increased apoptosis in bovine

606

blastocysts exposed to high levels of IGF1 is not associated with downregulation of the IGF1

607

receptor. Reprod 2011;141:91-103.

608

[67] Zhang L, Blakewood EG, Denniston RS, Godke RA. The effect of insulin on maturation

609

and development of invitro-fertilized bovine oocytes. Theriogenology 1991;35:301.

610

[68] Bowles CM, Lishman AW. Attempts to improve the yield of bovine blastocysts by

611

incorporating insulin, selenium and transferrin in the in vitro system. S Afr J Anim Sci 1998;28.

612

[69] Fouladi-Nashta AA, Campbell KHS. Dissociation of oocyte nuclear and cytoplasmic

613

maturation by the addition of insulin in cultured bovine antral follicles. Reproduction

614

2006;131:4494-4460.

615

[70] Shamsuddin M, Larsson B, Rodriguez-Martinez H. Culture of bovine IVM/IVF embryos up

616

to blastocyst stage in defined medium using insulin, transferrin and selenium or growth factors.

617

Reprod Domest Anim 1993;28:209-210.

618

[71] Wydooghe E, Heras S, Dewulf J, Piepers S, Van den Abbeel E, De Sutter P, et al. Replacing

619

serum in culture medium with albumin and insulin, transferrin and selenium is the key to

28

620

successful bovine embryo development in individual culture. Reprod Fertil Dev 2014;26:717-

621

724.

622

[72] Liu XY, Yang YJ, Tang CL, Wang K, Chen JJ, Teng XM, et al. Elevation of antimüllerian

623

hormone in women with polycystic ovary syndrome undergoing assisted reproduction: effect of

624

insulin. Fertil Steril 2019;111:157-167.

625

[73] Fawzy M, Sabry M, Nour M, Abdelrahman MY, Roshdy E, Magdi Y, et al. Integrating

626

insulin into single-step culture medium regulates human embryo development in vitro. Fertil

627

Steril 2017;107:405-412.

628

[74] Mihalik J, Rehák P, Koppel J. The influence of insulin on the in vitro development of mouse

629

and bovine embryos. Physiol Res 2000;49:347-354.

630

[75] Byrne AT, Southgate J, Brison DR, Leese HJ. Regulation of apoptosis in the bovine

631

blastocyst by insulin and the insulin-like growth factor (IGF) superfamily. Mol Reprod Dev

632

2002;62:489-495.

633

[76] O’Hara LA, Båge R, Holtenius K. Impaired insulin sensitivity and reduced fertility in obese

634

dairy cows. Acta Vet Scand 2015;57:O11.

635

[77] Wuu YD, Pampfer S, Becquet P, Vanderheyden I, Lee KH, De Hertogh R. Tumor necrosis

636

factor alpha decreases the viability of mouse blastocysts in vitro and in vivo. Biol Reprod

637

1999;60:479-483.

638

[78] Robertson S, Thompson J. Growth factors and cytokines in embryo development. In P.

639

Quinn (Ed.), Culture Media, Solutions, and Systems in Human ART. Cambridge: Cambridge

640

University Press. 2014; pp. 112-131.

29

641

[79] Thouas GA, Dominguez F, Green MP, Vilella F, Simon C, Gardner DK. Soluble ligands

642

and their receptors in human embryo development and implantation. Endocr Rev 2015;36:92-

643

130.

644

[80] Kasimanickam R, Duffield TF, Foster RA, Gartley CJ, Leslie KE, Walton JS, et al.

645

Endometrial cytology and ultrasonography for the detection of subclinical endometritis in

646

postpartum dairy cows. Theriogenology 2004;62:9-23.

647

[81] Williams CL, Teeling JL, Perr, VH, Fleming TP. Mouse maternal systemic inflammation at

648

the zygote stage causes blunted cytokine responsiveness in lipopolysaccharide-challenged adult

649

offspring. BMC Biol 2011;9:49.

650

[82] Paula-Lopes FF, de Moraes AAS, Edwards JL, Justice JE, Hansen PJ. Regulation of

651

preimplantation development of bovine embryos by interleukin-1β. Biol Reprod 1998;59:1406-

652

1412.

653

[83] Miglior F, Muir BL, Van Dormaal BJ. Selection indices in Holstein cattle of various

654

countries. J Dairy Sci 2005;88:1255-1263.

655

[84] König S, Bosselmann F, von Borstel UU, Simianer H. Genetic analysis of traits affecting

656

the success of embryo transfer in dairy cattle. J Dairy Sci 2007;90:3945-3954.

657

[85] Ortega MS, Moraes JGN, Patterson DJ, Smith MF, Behura SK, Poock S, et al. Influences of

658

sire conception rate on pregnancy establishment in dairy cattle. Biol Reprod 2018;99:1244-1254.

30

659

Table 1. Mean (± SEM) reproductive data in superovulated lactating Holstein cows with varying body condition score (10 cows per

660

group were superovulated). Body condition

No. CL

score category

No. SO with

Total ova and

Transferrable

No.

No.

No.

zero response

embryos (%)

embryos (%)

morula

blastocysts

UFO/DGM

BCSC1

7.6 ± 1.6a

2

5.3 ± 1.6 (69.7)a

3.9 ± 0.6 (73.6)a

3.0 ± 0.4ab

1.0 ± 0.4a

1.4 ± 0.6

BCSC2

11.0 ± 1.6b

1

9.1 ± 1.6 (73.6)b

7.3 ± 0.8 (80.2)b

3.7 ± 0.6b

3.6 ± 0.6c

2.8 ± 0.4

BCSC3

10.8 ± 1.2b

1

9.5 ± 1.2 (87.0)c

7.9 ± 0.7 (83.2)b

5.5 ± 0.6c

2.4 ± 0.5b

1.6 ± 0.3

BCSC4

10.6 ± 1.0b

2

8.9 ± 1.0 (83.0)bc

6.5 ± 0.5 (73.0)a

3.1 ± 0.6b

3.4 ± 0.3bc

2.4 ± 0.2

BCSC5

6.1 ± 1.7a

4

4.8 ± 1.7 (75.4)a

3.3 ± 0.6 (68.8)a

1.8 ± 0.5a

2.5 ± 0.4a

1.6 ± 0.4

661

a-c

662

BCSC - Body condition score (1 to 5; 1, emaciated; 5, obese); category BCSC1, 2.00 to < 2.50; BCSC2, 2.50 to < 3.00; BCSC3, 3.00

663

to <3.50; BCSC4, 3.50 to <4.00; and BCSC5, 4.00 to 5.00; CL - Corpus lutea; SO - Superovulation; UFO - Unfertilized oocytes;

664

DGM - Degenerate embryos;

665

Total ova and embryos (%) = Total ova and embryos/ Number of CL;

666

Transferrable embryos (%) = Number of transferrable embryos/ Number of total embryos;

Within a column, means without a common superscript differed (P<0.05).

31

667

Table 2. Mean ± SEM reproductive data in supervoulated cows with varying %PMN in endometrial cytology. %PMN

No.

No. CL

flushes

No. SO with

Total ova and

Transferrable

No.

No.

No.

zero response

embryos (%)

embryos (%)

morula

blastocysts

UFO/DGM

0

26

10.7 ± 2.5a

2

8.9 ± 1.5 (83.2)a

7.4 ± 0.7 (83.1)a

4.1 ± 0.3a

3.3 ± 0.5a

1.5 ± 0.8

1 to 6

13

8.9 ± 1.4ab

2

7.1 ± 1.3 (79.8)b

5.4 ± 0.9 (76.1)b

3.4 ± 0.4a

2.0 ± 0.5b

1.7 ± 0.9

>6

11

6.9 ± 1.0b

6

4.8 ± 1.2 (69.6)c

2.5 ± 0.4 (47.9)c

1.6 ± 0.5b

0.9 ± 0.4b

2.3 ± 1.4

668

a,b

669

PMN - Polymorphonuclear neutrophil; CL - Corpus lutea; SO - Superovulation; UFO - Unfertilized oocytes; DGM - Degenerate

670

embryos;

671

Total ova and embryos (%) = Total ova and embryos / Number of CL;

672

Transferrable embryos (%) = Number of transferrable embryos/ Number of total embryos;

Within a column, means without a common superscript differed (P<0.05).

32

673 674 675

Fig. 1. Schematic overview of superovulation and embryo collection protocol. Briefly, on Day 0, embryo donor cows received a progesterone releasing vaginal insert

676

(CIDR; 1.38 g of progesterone; Eazi-Breed™ CIDR® Cattle Insert; Zoetis Animal Health, New

677

York, NY, USA) along with gonadorelin hydrochloride (GnRH; 2 mL (100 µg), im, Factrel®;

678

Zoetis Animal Health). On Day 4 (84 h after GnRH), superovulation with Folltropin-V®

679

(Follicle stimulating hormone (FSH) equivalent to 400 mg NIH-FSH-P1; im; Bioniche Animal

680

Health, Athens, GA, USA) was initiated, twice daily decreasing doses over 4.5 d. Luteolytic dose

681

of dinoprost (PGF2α; 5 mL (25 mg) im; Lutalyse® sterile solution; Zoetis Animal Health) was

682

administered with the last two FSH injections and progesterone inserts were removed with the

683

second last FSH injection, on Day 7 PM. Ovulation was induced with GnRH (100 µg im; Zoetis

684

Animal Health) 44 h after progesterone insert removal and donors bred by fixed-time artificially

685

insemination, 12 and 24 h later.

33

686 687

Fig. 2. Association of mean blood urea nitrogen (BUN) concentration (ng/mL), body condition

688

score and transferable embryo (%) of lactating Holstein cows with varying body condition

689

scores.1

690

Transferrable embryo (%) = Number of transferrable embryo/ Number of total embryo;

691

1

692

BCSC2, 2.50 to < 3.00; BCSC3, 3.00 to <3.50; BCSC4, 3.50 to <4.00; and BCSC5, 4.00 to 5.00;

693

A linear association between body condition score and BUN concentration (r2=0.82; P<0.05) and

694

a quadratic relationship between BUN concentrations and % transferrable embryos (r2=0.86;

695

P<0.05) was observed.

Body condition score (1 to 9; 1, emaciated; 9, obese) category (BCSC); BCSC1, 2.00 to < 2.50;

34

696 697

Fig. 3. Mean ± SEM serum concentrations of metabolic biomarkers in superovulated lactating

698

Holstein cows with various body condition categories.1

699

a,b

700

(P<0.05);

701

IGF - Insulin like growth factor; IL - Interleukin; TNF - Tumor necrosis factor;

702

1

703

2.50 to < 3.00 (BCSC2), 3.00 to <3.50 (BCSC3), 3.50 to <4.00 (BCSC4) and 4.00 to 5.00

704

(BCSC5); Thin, BCSC1; Moderate to good, BCSC2, BCSC3 and BCSC4; Obese, BCSC5;

Within biomarker, means without a common superscript differed body condition categories

Body condition score (1 to 9; 1, emaciated; 9, obese) category (BCSC); 2.00 to < 2.50 (BCSC1),

35

705 706

Fig. 4. Mean ± SEM serum concentrations of metabolic biomarkers in superovulated lactating

707

Holstein cows with (≤ 6%PMN) or without (> 6%PMN) subclinical endometritis.

708

a,b

709

IGF - Insulin like growth factor; IL – Interleukin; TNF – Tumor necrosis factor;

Within biomarker, means without a common superscript differed (P<0.05);

36

Highlights •

Mean number of total ova and embryos was significantly higher for cows with no subclinical endometritis



Mean number of total ova and embryos was significantly lower for cows with BCS 2.00 to <2.50 and with BCS 4.00 to 5.00



Circulating adiponectin, leptin, insulin, IGF1 and TNFα were greater in cows with moderate to good body condition



Circulating adiponectin, leptin, IGF1 and insulin were greater in cows with no subclinical endometritis and TNFα and IL1β and IL6 were greater in cows with subclinical endometritis



Quadratic associations was observed between metabolic biomarkers, body condition, uterine PMN and superovulatory response