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Article

Cytokine Profiling and Puberty Enhancement Post Altrenogest Feeding in Prepubertal Murrah Buffalo (Bubalus bubalis) Heifers

by
Sneha Swapna Haridas
1,
Prahlad Singh
2,*,
Navdeep Singh Ratta
1,
Chanchal Singh
3 and
Mrigank Honparkhe
1
1
Department of Veterinary Gynaecology and Obstetrics, College of Veterinary Science, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana 141004, Punjab, India
2
Department of Teaching Veterinary Clinical Complex, College of Veterinary Science, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana 141004, Punjab, India
3
Department of Veterinary Physiology and Biochemistry, College of Veterinary Science, Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana 141004, Punjab, India
*
Author to whom correspondence should be addressed.
Ruminants 2025, 5(2), 24; https://doi.org/10.3390/ruminants5020024
Submission received: 26 March 2024 / Revised: 11 May 2024 / Accepted: 13 May 2024 / Published: 10 June 2025

Abstract

Simple Summary

Indian buffalo are a major source of milk and meat but reach puberty later than other cattle. This study investigated the effectiveness of different hormone protocols in stimulating puberty and pregnancy rates in prepubertal buffalo heifers. The study involved eighteen prepubertal buffalo heifers divided into three groups. Each group received a different progesterone supplementation and synchronization protocol. Blood samples were collected to measure hormones (estrogen and progesterone) and cytokine [Interferon gamma (IFNγ), Interleukin (IL)1, IL6, IL13, Tumor Necrosis Factor (TNF)α, and Transforming Growth Factor (TGF)β] levels. Follicle size and pregnancy rates were also monitored. The results suggest that altrenogest supplementation along with Co-synch improved progesterone levels and may play a role in regulating puberty through cytokines like IFNγ. The study provides insights into improving reproductive efficiency in buffalo heifers.

Abstract

Cytokine and Anti-Müllerian Hormone (AMH) profiling were performed in prepubertal Murrah buffalo heifers’ post-progesterone supplementation and Co-synchronization (Co-synch) protocol. Cytokine (IFNγ, IL6, IL1, IL13, TNFα, and TGFβ), AMH, progesterone, and estrogen hormone estimations were conducted. The ovarian follicular pattern and fertility outcome were recorded. Eighteen prepubertal heifers, 15–17 months of age, 250–300 kg body weight (BWt) were randomly divided into three groups, Group 1: n = 6, supplemented with altrenogest 0.044 mg/kg BWt/day/heifer orally for 14 days along with Co-synch program; Group 2: n = 6, implanted Controlled Internal Drug Release (CIDR) for 14 days and co-synch program, Group 3: n = 6, received Co-synch program. Ultrasonography was performed to determine ovarian follicle status on respective days of sampling. Pregnancy diagnosis was performed around 45 and 60 days post artificial insemination (AI). The Estradiol 17-β level remained constant in Group 1, Group 2, and Group 3 during the progesterone treatment and Co-synch treatment. Estradiol levels during Co-synch were significantly less (p = 0.024) on day 9 of Co-synch (14.41 ± 1.97 pg/mL) than on day 0 (20.11 ± 0.36 pg/mL) and on day 7 (19.77 ± 0.34 pg/mL) in prepubertal buffalo heifers in Group 1. However, no significance was observed in other groups. Progesterone levels in buffalo heifers subjected to synchronization protocols varied significantly (p < 0.05) on day 7 of progesterone (P4) treatment between Group 1, Group 2, and Group 3. Supplementation of altrenogest showed a significant (p = 0.043) increase in progesterone levels by day 14 of altrenogest treatment. Progesterone varied significantly in all groups on day 9 of Co-synch protocol [Group 1 (p = 0.020), Group 2 (p = 0.041), and Group 3 (p = 0.007)]. Cytokine IFNγ showed high correlation with progesterone, indicating the role of IFNγ in puberty in buffalo heifers (r = 0.626, p < 0.01). Anti-Müllerian Hormone had a significant positive correlation when supplemented with altrenogest with IFNγ (r = 0.673, p < 0.01) and TGFβ (r = 0.463, p < 0.01), whereas it was a negatively correlated with TNFα (r = −0.34, p < 0.05). Based on Karl Pearson correlation coefficients, IL13 and TGFβ could be considered as markers for puberty in buffalo heifers.

Graphical Abstract

1. Introduction

Buffaloes are a vital pillar of the Indian economy, contributing significantly to the country’s position as the world’s leading milk producer, propelling the country to the top position in global milk production with a staggering contribution of 91.82 million tons out of the total world production of 127.66 million tons. India boasts a significant buffalo population, comprising 114.15 million out of approximately 208.1 million worldwide [1]. Their remarkable productivity stems from superior feed conversion efficiency and disease resistance [2], rendering them well-suited for Indian dairy farming conditions. Despite their economic importance, buffaloes face a significant challenge of delayed puberty, late breeding, seasonal breeding patterns, and subtle estrus signs.
Puberty, marked by the gradual activation of reproductive capabilities, is crucial for buffaloes. The hypothalamus plays a central role, triggering the maturation of the endocrine and reproductive systems for breeding [3]. Buffaloes, especially the Murrah breed, experience delayed puberty, typically occurring between 16 and 40 months, with Murrah heifers averaging 33 months [4]. This delayed puberty directly impacts the animal’s potential for milk production. While the influence of cytokines on ovarian function is well-established [5,6,7,8,9,10,11], research on their role in buffalo puberty remains limited. These signaling proteins, known to regulate immune pathways and growth factors, hold potential for influencing pubertal timing in buffaloes.
Anti-Müllerian Hormone (AMH) is a factor potentially influencing puberty onset in buffaloes. This glycoprotein is expressed in the ovary and plays a role in follicle development [12,13,14,15]. While further research is needed to understand the specifics in buffaloes, AMH’s influence on follicle recruitment and growth warrants investigation in the context of pubertal timing.
Efforts to improve buffalo reproductive efficiency include dietary modifications and hormonal interventions [16,17,18,19,20]. Notably, altrenogest, a progesterone analogue, has shown promise in inducing early estrus and potentially influencing puberty timing [19].
While understanding the role of Anti-Müllerian Hormone (AMH) in follicle development is important, this article delves deeper into factors specifically influencing puberty onset in Murrah buffalo heifers. We focus on cytokine profiles, signaling proteins potentially linked to pubertal regulation in buffaloes. Furthermore, we investigate the effects of altrenogest feeding, a progestogen treatment, on these cytokine profiles and their potential impact on puberty timing. By examining these aspects, this study aims to provide valuable insights into how altrenogest feeding and cytokine profiles influence puberty regulation in prepubertal Murrah buffalo heifers, ultimately contributing to improved reproductive efficiency.

2. Materials and Methods

2.1. Place of Study

The research took place at the Directorate of Livestock Farms, GADVASU, Ludhiana (latitude 31°6′5″ N and longitude 76°27′26″ E), from March to October 2023. A total of 18 prepubertal buffaloes, aged between 15 and 17 months, were chosen for the study. These animals were housed in optimal conditions, received sufficient nutrition, and were subjected to appropriate health management practices.

2.2. Selection and Management of Prepubertal Buffaloes

The study involved three groups of buffalo heifers, all housed in semi-intensive systems with access to both indoor and outdoor areas. These heifers were aged 15 months, with weights ranging between 250 and 300 kg. The diet primarily consisted of green fodder or silage, supplemented with wheat straw, concentrates, and a mineral mixture, depending on availability. Each buffalo was ear-tagged for identification and underwent thorough health checks, including transrectal examinations to ensure there were no reproductive abnormalities. Only heifers with a body condition score of at least 3 on a 5-point scale [21] and confirmed good health were included in the study.

2.3. Study Design

Eighteen prepubertal buffalo heifers, aged between 15 and 17 months and weighing 250–300 kg, were randomly assigned to three groups (Table 1). Progesterone assays were conducted on day 10 and day 2 prior to initiating treatment to verify their prepubertal status.
Group I comprised six heifers chosen for the study. To confirm their prepubertal status, blood samples were taken on the 10th and 2nd days before the start of the experiment and analyzed for progesterone levels. Subsequently, each animal received oral altrenogest at a dosage of 0.044 mg/kg body weight per day for 14 consecutive days, starting on day 0. On days 26 and 36, the heifers received an intramuscular injection of a GnRH analogue (20 µg Buserlin acetate). Additionally, on day 33, a PGF2α analogue (500 µg Cloprostenol sodium) was administered, followed by fixed-time artificial insemination (AI) on day 36. For a detailed representation of the experimental protocol, please refer to Figure 1.
Group II consisted of six heifers that underwent blood sampling on the 10th and 2nd days preceding the experiment to assess progesterone levels and confirm their prepubertal status. Subsequently, each heifer had a CIDR applicator intravaginally inserted for 14 days, starting on day 0. On days 23 and 33, all heifers received an intramuscular injection of a GnRH analogue (20 µg Buserlin acetate). Furthermore, on day 30, all heifers were administered an intramuscular injection of a PGF2α analogue (500 µg Cloprostenol sodium). Fixed-time artificial insemination (AI) was then conducted on day 33, as outlined in Figure 2.
Group III comprised six heifers that underwent blood sampling on the 10th and 2nd days prior to the experiment to analyze progesterone levels and confirm their prepubertal status. Subsequently, the heifers received intramuscular injections of a GnRH analogue (20 µg Buserlin acetate) on days 23 and 33. Additionally, on days 30 and 33, all heifers were administered an intramuscular injection of a PGF2α analogue (500 µg Cloprostenol sodium), followed by fixed-time artificial insemination (AI) on day 33. Please refer to Figure 3 for a detailed depiction of the experimental protocol.

2.4. Observations and Sampling

2.4.1. Blood Collection

Blood samples (5 mL) were obtained via jugular venipuncture using polystyrene vacutainer tubes containing heparin (1:1000) anticoagulant before each transrectal ultrasonography examination. To confirm prepubertal status, blood samples were collected ten and two days before the initiation of progesterone treatment. These blood samplings occurred on days 0, 7, 14, 23/26, 30, and 33/36 (Table 2). The tubes were promptly placed on ice and transported to the laboratory. Plasma was separated via centrifugation (3000 rpm, 15 min) and stored at −20 °C until analysis. Plasma Estradiol, plasma progesterone, and levels of six cytokines (IFNγ, IL6, IL1, IL13, TNFα, and TGFβ) were measured using specific ELISA kits on different days.

2.4.2. Ultrasonographic Observations

Eighteen buffalo heifers underwent transrectal examination and ultrasonography to evaluate the location and size of ovarian follicles. Ultrasonography was conducted on designated days to monitor the growth of the dominant follicle, regression of the corpus luteum, and the presence of a corpus luteum or pregnancy. Ovarian activity was assessed using an Easy Scan ultrasound machine equipped with a versatile 5/7.5 MHz linear array rectal transducer (ALR, 575 probe).

2.4.3. Pregnancy Diagnosis

Pregnancy confirmation was conducted using B-mode ultrasonography on days 45 and 60 post artificial insemination. The presence of a fetus, observed as an echogenic structure surrounded by a non-echogenic area, indicated a successful pregnancy [22].

2.4.4. Hormone Estimation

The quantification of serum progesterone levels was performed using the XEMA progesterone enzyme immunoassay kit. Estradiol and cytokines were estimated using BT lab kits.

2.5. Statistical Analysis

Data generated from various ELISA estimations were presented as Mean ± Standard Error of the Mean (SEM). Statistical analysis was conducted using SPSS Statistical 22.0. Within-day comparisons were performed using repeated-measure ANOVA, followed by pairwise comparisons using the least significant difference test. Between-group comparison were performed using one-way ANOVA followed by Duncan’s multiple range test to find out which of the groups were significantly different. Karl Pearson’s correlation coefficients were determined to establish the relationship between various cytokines and AMH.

3. Results

3.1. Estradiol 17-β

The levels of Estradiol 17-β estimated at the start (day 0) of the experiment were 16.57 ± 2.05 pg/mL, 15.09 ± 2.47 pg/mL, and 17.45 ± 0.98 pg/mL in Group 1, 2, and 3, respectively. During progesterone supplementation, the values were 18.52 ± 1.15 pg/mL and 19.26 ± 0.72 pg/mL on days 7 and 14, respectively, in Group 1. In Group 2, the respective values for Estradiol 17-β on 7 and 14 days of CIDR placement were 18.35 ± 1.22 pg/mL and 16.26 ± 1.79 pg/mL. In Group 3, buffalo heifers served as the control, where the Estradiol 17-β values were 17.02 ± 1.03 pg/mL on day 7 and 17.8 ± 1.29 pg/mL on day 14. Estradiol 17-β in all the groups during progesterone supplementation did not differ statistically. However, slight elevation was seen in heifers fed altrenogest, 19.26 ± 0.72 pg/mL compared to Group 2, 16.26 ± 1.79 pg/mL, and Group 3, 17.8 ± 1.29 pg/mL (Table 3).
At the start of the Co-synch program, on day 26 in Group 1 and day 23 in Group 2 and 3 the values for Estradiol 17-β were 20.11 ± 0.36 pg/mL, 20.07 ± 0.35 pg/mL, and 15.83 ± 3.19 pg/mL, respectively. Estradiol 17-β did not differ statistically at GnRH I administration. On day 7, post-GnRH I treatment and at the time of prostaglandin administration, the values were 19.77 ± 0.34 pg/mL, 19.6 ± 0.55 pg/mL, and 19.77 ± 0.57 pg/mL in Group 1, 2, and 3, respectively. Estradiol 17-β did not differ between the groups on day 7, but in the altrenogest group they showed a decreasing trend. On day 9 (day of estrus and GnRH II administration) the values reported for Group 1, 2, and 3 were 14.41 ± 1.97 pg/mL, 16.2 ± 3.14 pg/mL, and 19.94 ± 0.44 pg/mL, respectively. Estradiol 17-β did not differ between groups but the values were significantly lower in altrenogest groups followed by CIDR and then Co-synch. However, Estradiol 17-β levels in the altrenogest group on day 9 (14.41 ± 1.97 pg/mL) were significantly lower as compared to levels on day 7 (19.77 ± 0.34 pg/mL) and day 0 (20.11 ± 0.36 pg/mL) at the start of the Co-synch program (Table 3). The values of Estradiol 17-β did not differ in CIDR in the control group at the start of the Co-synch program.

3.2. Progesterone

Progesterone levels were similar in all the 3 Groups (0.68 ± 0.06 ng/mL, 0.68 ± 0.10 ng/mL, and 0.68 ± 0.09 ng/mL, respectively in Group 1, 2, and 3) at the start of progesterone supplementation. During the course of progesterone supplementation in Group 1, the levels of progesterone varied from 0.59 ± 0.15 ng/mL on day 7 to 0.97 ± 0.15 ng/mL on day 14 and differed significantly (p < 0.05). In Group 2, on days 7 and 14 during CIDR treatment, there was a significant change in progesterone level on day 7 to 2.66 ± 1.00 ng/mL, which then reduced slightly to 1.03 ± 0.18 ng/mL on day 14 and did not differ significantly thereafter. In Group 3, the values ranged from 0.81 ± 0.12 ng/mL on day 7 to 1.21 ± 0.29 ng/mL on day 14 of progesterone treatment. The level of progesterone in the CIDR group on day 7 differ significantly (p < 0.05) (Table 4) among the correspondence.
During the Co-synch protocol, the levels of progesterone varied from 0.63 ± 0.16 ng/mL on day 0 to 1.33 ± 0.36 ng/mL on day 7 and 1.17 ± 0.18 ng/mL on day 9 in the altrenogest group. In the CIDR group, the values reported were 0.96 ± 0.36 ng/mL on day 0, followed by 1.37 ± 0.20 on day 7 and 0.46 ± 0.08 ng/mL on day 9. Similarly, for the Co-synch group, progesterone varied from 0.88 ± 0.23 ng/mL on day 0, followed by 1.91 ± 0.39 ng/mL on day 7 and 0.51 ± 0.10 ng/mL on day 9.
The values of progesterone reported in the Co-synch group did not differ significantly between the groups on day 0 and 7, whereas, on day 9, the values for progesterone in Group 1 were significantly higher (p < 0.01) as compared to Group 2 and Group 3. On the other hand, the progesterone levels in Group 2 differed significantly on day 7 (p < 0.05) as compared to days 0 and 9, whereas, in Group 3, the values of day 7 were significantly higher as compared to day 0 and day 9 (p < 0.01) (Table 4).

3.3. Anti-Müllerian Hormone

During the days of progesterone treatment, the AMH values in Group 1, 2, and 3 were almost similar. However, in Group 1, on day 14 of altrenogest treatment, AMH was significantly high (6.60 ± 1.17 ng/L) as compared to day 7 (2.73 ± 0.51 ng/L) and day 0 (1.61 ± 0.41 ng/L) (Table 5).
During the period of Co-synchronization, AMH was also almost similar within the groups within the days. AMH was lower than the values reported for buffalo calves in another study on Murrah buffalo calves, indicative of the role of AMH in the onset of puberty (Table 5).

3.4. Interferon-γ (IFNγ)

IFNγ concentrations during the period of progesterone supplementation in Group 1 ranged from 227.23 ± 31.83 ng/L at the start of progesterone supplementation, followed by 202.14 ± 23.82 ng/L on day 7 and 237.03 ± 47.15 ng/L on day 14. The corresponding values for Group 2 were 347.67 ± 85.28 ng/L on day 0 to 255.48 ± 68.02 ng/on day 7 and 342.22 ± 73.24 ng/L on day 14. In the control, Group 3, the values for IFNγ were 207.12 ± 55.29 ng/L on day 0, 170.83 ± 35.39 ng/L on day 7, and 202.78 ± 43.09 ng/L on day 14 (Table 6). The values of IFNγ did not differ statistically between the groups and within the groups over the period of treatment.
IFN-γ levels during the Co-synch protocol varied from 204.92 ± 20.2 ng/L on day 0 to 382.12 ± 85.01 ng/L on day 7 and 203.82 ± 30.26 ng/L on day 9 in altrenogest group. In the CIDR group, the values observed were 324.46 ± 63.5 ng/L on day 0, followed by 296.78 ± 66.16 ng/L on day 7 and 296.7 ± 59.79 ng/L on day 9. Likely, for the Co-synch group, the IFNγ values were 205.07 ± 20.32 ng/L on day 0, followed by 269.05 ± 38.47 ng/L on day 7 and 166.96 ± 24.47 ng/L on day 9. The IFNγ values did not differ significantly between the groups on any days of treatment. On the other hand, the IFNγ values of Group 3 differed significantly (p < 0.05) on day 9 compared to days 0 and 7 (Table 6).

3.5. Interleukin-1 (IL1)

The IL1 level during the period of progesterone supplementation was 717.68 ± 298.27 ng/L at the start of progesterone treatment, 742.89 ± 199.48 ng/L on day 7, and 684.37 ± 197.41 ng/L on day 14. The values of Group 2 were 742.49 ± 159.75 ng/L on day 0, followed by 604.83 ± 120.69 ng/L on day 7 and 536.46 ± 116.87 ng/L on day 14. In the control, Group 3, the levels of IL1 were 392.41 ± 148.93 ng/L on day 0, followed by 706.03 ± 202.09 ng/L on day 7 and 412.39 ± 83.11 ng/L on day 14. During progesterone supplementation, IL1 did not differ between the groups and within the groups across days (Table 7).
During the Co-Synch program, levels concentrations of IL1 varied from 382.31 ± 123.55 ng/L at day the start of Co-synch program to 755.16 ± 195.41 ng/L on day 7 and 723.14 ± 232.52 ng/L on day 9. In Group 2, the values ranged from 370.57 ± 67.56 ng/L on day 0 to 339.81 ± 112.94 ng/L on day 7 and 279.01 ± 84.73 ng/L on day 9. Here, as in Group 3, the concentrations of IL1 were concentrations of IL1 were 438.02 ± 169.26 ng/L on day 0, 231.12 ± 70.39 ng/L on day 7, and 229.04 ± 77.33 ng/L on day 9.
However, the levels in the altrenogest-supplemented group during the Co-synch period differed significantly (p = 0.043) and were greater compared to start of Co-synch. The increase in IL1 levels across day 7 (p = 0.038) and 9 (p = 0.024) were significantly higher in the altrenogest-supplemented group as compared to CIDR treatment and Co-synch alone. But, the values of IL1 did not differ between CIDR treatment and Co-synch alone (Table 7).

3.6. Interleukin-6 (IL6)

IL6 serum concentrations at the start of progesterone treatment were 138.61 ± 41.45 ng/mL, 103.07 ± 48.04 ng/mL, and 55.47 ± 14.58 ng/mL in Group 1, 2, and 3, respectively. The concentrations were greater in all groups by day—7170.17 ± 60.18 ng/L, 137.77 ± 46.80 ng/L, and123.35 ± 49.20 ng/L in Group 1, 2, and 3, respectively. On day 14, IL6 levels remained almost similar in Group 1 (172.84 ± 37.35 ng/L), but a reduction was observed in Group 2 (101.29 ± 48.80 ng/mL) and 3 (56.43 ± 21.84 ng/L) (Table 8).
IL6 levels in Group 1 varied from 152.22 ± 54.79 ng/mL on day of start of Co-synch to 127.89 ± 28.67 ng/mL on day 7, followed by 160.38 ± 37.55 ng/mL on day 9. But, they were statistically not different. In Group 2, the value at the start of Co-synch was 119.34 ± 33.00 ng/mL, which was significantly different (P = 0.012) than that observed on day 7 (69.30 ± 16.99 ng/mL) and day 9 (163.03 ± 38.61 ng/mL). In the Co-synch group, no significant difference across the days was evident. (Table 8).

3.7. Interleukin-13 (IL13)

The IL13 level recorded in buffalo heifers was 60.36 ± 30.27, 69.22 ± 20.39 ng/L, and 46.89 ± 11.42 ng/L in Groups 1, 2, and 3, respectively, at the start of progesterone supplementation. By day 7, the levels of IL 13 were 50.44 ± 15.18 ng/L, 93.42 ± 24.3 ng/L, and 60.26 ± 23.34 ng/L in the respective groups. It was observed that the values changed from 60.36 ± 30.27 ng/L on day 0 to 40.37 ± 9.06 on day 14 in Group 1. But, the values were almost similar. However, there was a slight reduction. The values of IL13 across the days of progesterone supplementation did not differ statistically between the groups as well as across the days (Table 9).
During the period of Co-synch, IL13 levels varied from 37.83 ± 18.78 ng/L at the start of Co-synch to 86.84 ± 21.66 ng/L in Group 1. But, the values were statistically similar. However, an increasing trend on day 9 was observed. In Group 2 and 3, the values did not differ significantly across the days nor did they show any increasing or decreasing trend (Table 9).

3.8. Transforming Growth Factor-β (TGFβ)

TGFβ levels were 17.25 ± 7.04 ng/mL, 36.15 ± 6.24 ng/mL, and 23.31 ± 4.39 ng/mL in Groups 1, 2, and 3, respectively, at the start of the progesterone treatment. By day 7, the values indicated an increasing trend in all groups (22.27 ± 6.63 ng/mL, 44.51 ± 2.95 ng/mL, and 32.46 ± 7.32 ng/mL in Groups 1, 2, and 3, respectively). On day 14, the values reduced to 21.00 ± 6.05 ng/mL, 43.07 ± 2.51 ng/mL, and 34.52 ± 7.29 ng/mL in Group 1, 2, and 3, respectively, and different significantly (p = 0.044) (Table 10).
TGFβ values were 23.76 ± 6.13 ng/mL, 32.08 ± 5.35 ng/mL, and 30.44 ± 8.63 ng/ mL in Group 1, Group 2, and Group 3, respectively, at the start of Co-Synch protocol (day 0). The values of TGFβ were 16.51 ± 6.25 ng/mL, 34.23 ± 6 ng/mL, and 32.97 ± 4.74 ng/mL in Group 1, 2, and 3, respectively, on day 7 at the start of the Co-synch protocol and the values across the days and between the groups were almost similar (6.01 ng/mL) (Table 10).

3.9. Tumor Necrosis Factor-α (TNFα)

TNFα concentrations were 19.85 ± 2.47 ng/mL in Group 1, 29.18 ± 3.96 ng/mL in Group 2, and 27.92 ± 1.61 ng/mL in Group 3 at the start of the progesterone treatment. By day 7, the TNFα values were 18.67 ± 2.73 ng/mL, 32.68 ± 2.83 ng/mL, and 26.91 ± 4.62 ng/mL in the respective groups. TNFα values were almost similar across the days in the respective groups, but on day 7 and day 14 they were statistically different between the groups showing lower levels in the altrenogest group, followed by the control, and highest in Group 2 (Table 11).
TNFα values at the start of Co-synch were 17.75 ± 2.34 ng/mL, 29.81 ± 2.50 ng/mL, and 23.08 ± 2.44 in Group 1, 2, and 3, respectively, and were significantly greater in Group 2, followed by Group 3 and Group 1 (p = 0.011). At day 7 and day 9 of Co-synchronization, there was no difference in TNFα between the groups and across the days (Table 11).

3.10. Size of Largest Follicle

At the start of progesterone treatment, the size of the follicles was 3.08 ± 0.33 mm in Group 1, 3.00 ± 0.45 mm in Group 2, and 2.71 ± 0.36 mm in Group 3. The size of the follicles was almost similar ranging from 2.71 ± 0.36 mm to 3.08 ± 0.33 mm in all the groups. On day 7 of the progesterone treatment in Group 1, the size was 6.83 ± 0.70 mm in Group1 and 7.17 ± 0.79 mm in Group 2 whereas in the control group it was 4.00 ± 0.52 mm, indicating better follicular growth in the progesterone-supplemented group as compared to the control (p = 0.009). By day 14 of progesterone supplementation, the follicle size was 8.17 ± 0.70 mm in the altrenogest group, followed by 6.67 ± 1.4 mm in the CIDR group and 6.83 ± 0.75 mm in the control group. The difference in size was non-significant between the groups. However, the size of the follicle in the altrenogest group was significantly better on day 14 (p < 0.001). In the CIDR group, the follicle increased on day 14, but it was not statistically different. Looking into the control group, the follicle size at day 14, day 7, and day 0 differed significantly (p = 0.010) (Table 12).
During the Co-synchronization program, on day 0, 7, and 9, the size of the follicles across the days in the three groups was almost similar. However, within the altrenogest group, the size was greater on day 7 and 9 of the Co-synch program (p = 0.018). But, in the CIDR group, the follicle size was almost similar on day 7 and 9 but significantly greater as compared to the start of the Co-synch program. In control group, the size of the follicles was also better as compared to day 0 post Co-synchronization (p = 0.008) (Table 12).

3.11. Pregnancy Outcome and Cyclicity

The current study utilized the Co-synch protocol along with altrenogest supplementation at a dosage of 0.044 mg per kg of body weight per day. The objective was to assess whether a short-term supplementation (14 days) of a progesterone analogue given to prepubertal buffalo heifers, followed by withdrawal, would induce estrous behavior. All six (100%) buffalo heifers subjected to the altrenogest-modified Co-Synch protocol (Group 1) displayed estrus, mirroring the outcomes observed in six buffalo heifers in Group 2 following the CIDR-Co-Synch protocol, as well as in the six individuals in the control group (Co-Synch) (Group 3). Behavioral signs of estrus were most evident on the day of fixed-time artificial insemination (FTAI).
In Group 1 of prepubertal heifers, the pregnancy rate was 33.33 percent, with two out of six buffalo heifers conceiving, while 33.33 percent and 0 percent of heifers conceived in Group 2 and 3, respectively. Additionally, two more animals exhibited estrus in the next cycle in Group 1, whereas it was absent in Group 2 and 3, revealing the benefits of altrenogest feeding.

3.12. Karl Pearson Correlation Coefficient within Hormones, Cytokines, and Follicular Size

3.12.1. Altrenogest Group

AMH had a positive correlation with cytokines, hormones, and follicle size, but the correlations were not statistically significant. For Estradiol 17-β, there existed a positive correlation with cytokines, except IL13 and TNFα. Furthermore, Estradiol 17-β was negatively correlated with progesterone as well as follicle size. However, the correlations were not statistically significant. The progesterone hormone had positive correlations with cytokines, AMH, and follicle size, but the correlation with IFNγ was significantly positive (r = 0.626, p < 0.01). Estradiol 17-β had a negative correlation with progesterone, which was also non-significant. The follicle size of the largest follicle showed a positive correlation with cytokines, IFNγ, and IL13 and negative correlations with cytokines IL1, IL6, TGFβ, and TNFα, but they were not significant on positive or negative correlation (Table 13).

3.12.2. Controlled Internal Drug Release (CIDR) Group

AMH revealed a significantly high positive correlation with IFNγ (r = 0.673, p < 0.01) and TGFβ (r = 0.463, p < 0.01) and indicated negative correlation with all other cytokines and hormones, but the correlations were not significantly negative except for TNFα (r = −0.342, p < 0.05), where it showed a significantly negative correlation. Estradiol 17-β indicated significant negative correlation with IFNγ (r = −0.348, p < 0.01), but all other correlations were not significantly negative or positive. Progesterone had a significant negative correlation with IFNγ (r = −0.454, p < 0.01), whereas all other correlations were not significant. Among the cytokines, TGFβ had s significant positive correlation with IFNγ (r = 0.439, p < 0.01). TNFα was positively correlated (p, 0.01) with IL1 (r = 0.466), IL6 (r = 0.486), and IL13 (r = 0.507), whereas it was negatively correlated with IFNγ (r = −0.373, p < 0.05) (Table 14).

3.12.3. Co-Synch Group

Evaluation of Karl Pearson correlation coefficients during the Co-synch program, without progesterone supplementation, are present in Table 13. A significant positive correlation between AMH and TGFβ (r = 0.408, p < 0.05) was evident. There existed a positive correlations between AMH, IL1, and IL6, but all other correlations were negative. Estradiol 17-β had a significant positive correlation with follicle size (r = 0.341, p < 0.05), whereas progesterone showed a significant negative correlation with IL6 (r = −0.349, p < 0.05). Among the cytokines, IL13 and IL6 showed a high positive correlation (r = 0.349, p < 0.05). Also, IL13 (r = 0.037, p < 0.05) and TGFβ were highly positively correlated. Also, TNFα showed a significantly positive correlation (r = 0.391, p < 0.05) with IL1 (Table 15).

4. Discussion

4.1. Estradiol 17β

Estradiol 17β concentrations observed in the present study were similar to the findings of Aulakh and coworkers [19]. Our study, which involved prepubertal heifers aged 15 months, recorded lower Estradiol levels compared to the study mentioned, which involved heifers aged 18 months. At the initial GnRH injection, Estradiol levels ranged from 2.5 to 9.05 pg/mL and increased to 6.7 to 13.02 pg/mL, as documented by Roy and Prakash in 2009. GnRH is thought to stimulate follicle growth by inducing gonadotropin production, thereby promoting the synthesis of estrogen and Estradiol 17β before ovulation.

4.2. Progesterone

During the 15-day altrenogest treatment period, progesterone levels increased from 0.30 ± 0.01 ng/mL to 3.93 ± 0.05 ng/mL, which is similar to the earlier findings [19]. In heifers subjected to the Ovsynch protocol, progesterone levels ranged from 0.70 ng/mL to 2.72 ng/mL [23]. Plasma progesterone levels remained low, between 0.20 and 0.30 ng/mL, from 7 months and 4 days before the onset of puberty. A transient elevation in progesterone levels in buffalo heifers occurred 16 ± 4 days before puberty onset, with a mean of 0.60 ± 0.21 ng/mL and a range of 0.55–1.58 ng/mL [24]. When progesterone concentrations remained above 1 ng/mL for at least three consecutive samples taken at three-day intervals, the second rise in progesterone concentrations (4.27 ± 0.23 ng/mL) indicated the initiation of cyclicity [24]. Before treatment initiation, progesterone values in all groups remained below 1 ng/mL, indicating non-initiation of cyclicity in these heifers, which rose to around 1 ng/mL by day 14 of progesterone treatment in these groups. Subsequently, treatment with Co-synch induced a notable change in progesterone levels by day 9 of the Co-synch program, indicating the resumption of cyclicity in these heifers post-treatment.

4.3. Anti-Müllerian Hormone

AMH concentrations remain relatively stable throughout the estrous cycle in both adult cows and heifers [25,26]. AMH inhibits the early recruitment of primordial follicles into the growing pool of follicles [13]. By reducing the responsiveness of small antral follicles to FSH, AMH helps regulate antral follicle development by slowing their growth rate and preventing premature ovulation [27]. AMH also plays a role in promoting the atresia of small antral follicles that are not destined for ovulation, ensuring the survival of the healthiest and most viable follicles [28]. It is involved in follicle selection, ensuring dominance of one follicle for ovulation while inhibiting others [29]. AMH concentrations are closely linked to follicle size, with variations observed among individual animals in adult cows and goats [30]. Although the precise mechanisms underlying fluctuation in AMH during the estrous cycle remain unclear, AMH is believed to play a role in the timing of ovulation and synchronization of follicular development. Overall, AMH helps regulate the pace of follicular formation and contributes to maintaining the ovarian reserve [13].

4.4. Interferon-γ (IFNγ)

IFNγ plays a role in controlling the production of inflammatory mediators and proteases associated with follicle rupture and oocyte release [31]. Dysregulation of IFNγ signaling can disrupt folliculogenesis and lead to ovarian dysfunction [32]. By modulating the expression and activity of key enzymes involved in steroid hormone synthesis, such as cytochrome P450 enzymes, IFNγ can influence ovarian steroidogenesis [33]. Additionally, IFNγ can impact the functions of immune cells involved in maintaining ovarian homeostasis and function, including macrophages and T cells [34].

4.5. Interleukin-1 (IL1)

IL1 plays a significant role in regulating gonadotropin activity in the reproductive system and affects granulosa cells. It promotes granulosa cell proliferation and differentiation, thereby intricately modulating follicular dynamics [35]. IL1 halts granulosa cell luteinization during the follicular phase without compromising cell viability, indicating a nuanced regulatory role [36]. IL1 blocks basal progesterone secretion and LH-induced progesterone secretion, preventing the appearance of granulosa cell receptors for LH [37,38]. This modulation highlights its potential as a factor inhibiting the luteinization of follicles, with limited impact on hormone secretion from differentiated luteal cells [39]. IL1 also affects thecal and interstitial cells, reducing androgen synthesis induced by gonadotropins and potentially influences estrogen synthesis [35]. Estradiol and progesterone regulate IL1 secretion via macrophages, with low doses stimulating production and high concentrations inhibiting it [40]. The transcription of IL1 genes increases in response to gonadotropins during pre-ovulation, coinciding with its inflammatory effects such as prostaglandin biosynthesis and activation of plasminogen and collagen activators [35]. IL1 prompts tissue remodeling and lesions necessary for follicle rupture, requiring coordination between theca and granulosa cells [41]. IL1 stimulates the production of nitric oxide, suggesting its involvement in ovulation mechanisms [42]. Natural IL1 receptor antagonists inhibit ovulation in experimental models, underscoring the importance of balanced IL1 signaling via various cellular contributors such as macrophages, granulosa cells, and potentially the maturing oocyte.

4.6. Interleukin-6 (IL6)

The current study investigating IL6 in relation to reproductive outcomes, combined with synchronization programs, has not been previously documented in the literature. However, research in humans and other species has shed light on its role in enhancing follicular growth. IL6 plays a crucial role in the complex process of follicle development, including folliculogenesis. It modulates cell proliferation, differentiation, follicle survival, atresia, and oocyte maturation along with other cytokines [43]. IL6 levels in follicular fluid exceed those in serum, indicating its significance within the ovarian microenvironment [44]. Several clinical studies have explored the potential impact of IL6 on human oocyte maturation and embryo development. Elevated IL6 levels have been associated with improved clinical pregnancies by enhanced embryo implantation [45,46]. Conversely, elevated IL6 levels have been linked to diminished embryo quality and decreased likelihood of successful pregnancies [47]. In swine, IL6 receptors have been identified as promoters of granulosa cell survival [48]. In humans, the interaction between IL6 and its soluble receptor, IL6 (sR), is implicated in regulating follicle growth and atresia [45]. IL6 is thought to exert autocrine control over ovarian function and cumulus cell expansion in mice by inducing the expression of genes critical for extracellular matrix formation/stability and immune cell function [49].

4.7. Interleukin-13 (IL13)

IL13 cytokine levels in buffalo calves and heifers have not been investigated previously. This study aimed to assess IL13, given its role as an anti-inflammatory cytokine. Previous research in human ovarian tissue has shown elevated IL13 levels during the luteal phase, primarily within granulosa cells and theca cells [50]. The simultaneous increase in ovarian IL13 expression alongside elevated gonadotropin hormone levels suggests potential hormonal regulation of these interleukins in a cell-specific manner [51]. Additionally, the increased proliferation and differentiation of human granulosa cells and theca cells during follicular growth, along with immune cell trafficking during the menstrual cycle, coincide with the heightened ovarian expression of IL13 [51].

4.8. Transforming Growth Factor-β (TGFβ)

The literature lacks reports on TGFβ levels in buffalo heifers following progesterone supplementation and Co-synchronization programs. The TGFβ superfamily encompasses various cytokines such as bone morphogenetic proteins, growth differentiation factors, inhibin, activin, follistatin, and AMH. These factors orchestrate follicular growth through a bidirectional communication system involving paracrine and autocrine mechanisms. Kristen and colleagues noted that TGFβ superfamily pathways are involved in intrafollicular events, marking the onset of follicular growth in early human folliculogenesis. The TGFβ superfamily includes oocyte-secreted factors that shape the microenvironment of developing follicles, actively contributing to folliculogenesis through paracrine and autocrine pathways [52]. TGFβ superfamily growth factors play a role in regulating early human folliculogenesis and hold promise for the treatment and prevention of female infertility [53]. TGFβ signaling assists in maintaining a balance between follicle development and atresia [54]. The TGFβ family impacts the recruitment of primordial follicles, granulosa cell proliferation, differentiation, and apoptosis, among other phases of folliculogenesis [8]. TGFβ regulates the production of progesterone and estrogen via granulosa and luteal cells in conjunction with other growth factors and hormones [55]. In the present study, TGFβ values remained relatively consistent across sampling days, suggesting a potential role in the follicle recruitment process.

4.9. Tumor Necrosis Factor-α (TNFα)

Infection triggers a surge in tumor necrosis factor alpha (TNFα), a potent pro-inflammatory cytokine [56]. TNFα is one of the earliest responders in the body’s inflammatory cascade, as evidenced by research [57]. LPS infection induced a similar TNFα response in prepubertal (11–13 months) and postpubertal (36–40 months) buffalo heifers [58]. The current study observed lower TNFα values in the altrenogest-supplemented group, suggesting a potential role in folliculogenesis. Steroids may regulate TNFα secretion in the ovary, with stimulation at low concentrations and inhibition at high concentrations [40]. IL1 and TNFα, produced by macrophages, induce the production of oxygen-derived radicals through the endothelium [42]. TNFα, in addition to its cytotoxic effects, triggers coagulation in the capillaries surrounding the follicles upon binding to specific receptors [59]. This dual action of TNFα results in endothelial cell damage and subsequent reductions in vascularization, ultimately leading to atresia.

4.10. Size of Largest Follicle

The size of the dominant or largest subordinate follicles remained consistent as the first ovulatory cycle approached, and there was no notable expansion during subsequent ovulatory cycles. The growth rates of follicles (1.4 ± 0.1 mm/day) and regression rates (1.2 ± 0.1 mm/day) did not vary as the animals matured, and the inter-wave interval increased until the occurrence of the first ovulation, consistent with findings by Evans and coworkers in 1994 [60]. These observations regarding the size of the dominant follicle in the present study align with the results of Imwalle and coworkers in 1998 [61], who investigated the effects of melgesterol acetate (MGA) on follicles in prepubertal heifers compared to controls. The administration of MGA between days 0 and 7 led to an increase in the diameter of the largest follicle between days −1 and 8 (p = 0.01) in MGA-treated heifers, while no significant change was observed in control heifers (p = 0.933). The diameter of the largest follicle did not differ significantly between groups on days −1 (p = 0.616) and 3 (p = 0.506), but it was larger in MGA-treated heifers on day 6 (p = 0.002). By day 8, the diameter of the largest follicle was no longer significantly different from controls (p = 0.201). These findings are consistent with those reported by Aulakh (2020) [62], who noted an increase in the number of large-sized follicles (>8 mm) in Group 1 on day 10 of altrenogest feeding, reaching 1.26 ± 0.12 by day 15.

4.11. Pregnancy Outcome and Cyclicity

Squires and coworkers, in 1983, conducted field trials involving 449 mares to assess the efficacy of orally administered altrenogest at a dosage of 27 mg daily for 15 days. The results showed that all mares resumed estrus within 10 days following altrenogest treatment, with 56% of them conceiving within 18 days and 80% conceiving within 45 days. However, altrenogest, dissolved in neobee oil and orally administered at a dosage of 0.044 mg per kg of body weight for 15 days, did not induce estrus or ovulation in mares [63]. Davis and associates, in 1985 [64], compared the fertility rates of 104 artificially inseminated gilts following estrous synchronization with altrenogest administered at a dosage of 15 mg per gilt per day for 18 days. The results indicated that 72.8 percent of the gilts successfully gave birth. Beef heifers were orally administered altrenogest at a rate of 0.044 mg per kg body weight per head per day for seven to fifteen days, followed by PGF2α injection on the seventh day. Seventy percent of the beef heifers in the altrenogest-treated group exhibited standing behavioral estrus. The pregnancy rates achieved by the altrenogest treatment group were 66% (27 out of 41) [65]. CIDR-treated heifers exhibited a significantly higher proportion displaying signs of estrus within 120 h after the removal of the progestin compared to MGA-treated heifers. CIDR-treated heifers displayed estrus and were inseminated within 60 h of PGF2a compared to heifers treated with MGA. However, the percentage of pregnant heifers did not differ significantly between those treated with MGA (66%) and CIDR (62%) [66]. Ferguson and coworkers, in 2010 [67], assessed altrenogest (ALT) efficacy in estrus synchronization in 135 crossbred heifers. The ALT-treated group exhibited a higher percentage (66%) of heifers displaying behavioral estrus compared to the MGA-treated group (48%). However, pregnancy and calving rates were similar between the two groups (66%). In guinea pigs, synchronization on farms following altrenogest administration (0.1 mL po once daily) for 15 days resulted in ovulation within 4.43 ± 0.13 days in females, followed by mating [68]. Hinglak fed oral altrenogest at a dose of 0.44 mg per kg body weight per day to pubertal heifers, of which nine displayed estrus and five were able to conceive, yielding a pregnancy rate of 35.7%. Buffalo heifers fed altrenogest at 0.044 mg/kg bwt/day for 13 days in combination with the Ovsynch protocol revealed a higher pregnancy rate and early estrus induction [16,62]. Altrenogest decreased the percentage of primordial and atretic small follicles while increasing the number of large antral follicles in prepubertal gilts compared to the control. It also reduced the percentage of primary follicles and increased the total number of antral follicles in mature gilts. Furthermore, altrenogest negatively impacted follicular fluid progesterone concentration and decreased levels of prostaglandin (PG) E2 in prepubertal gilts and PGF2α metabolite in mature gilts. Additionally, it down-regulated CYP17A1 mRNA in the prepubertal theca layer and PGF2α synthase expression in the granulosa and theca layer of mature gilts [69].

4.12. Karl Pearson Correlation Coefficient between Hormones, Cytokines, and Follicular Size

4.12.1. Altrenogest Supplementation Group

The Karl Pearson correlation coefficient analysis indicates that IFNγ, which was positively correlated with progesterone, can be taken as indicator for ensuing puberty and follicular growth. Follicular growth, as demonstrated by the immune modulating effects of progesterone especially during pregnancy, resulted in baby rejection by the immune system [70].
Progesterone, a hormone, can influence the activity of immune cells and the production of cytokines like IFNγ, thereby impacting the immunological response. Progesterone regulates the expression of IFNγ by immune cells, suggesting a direct hormonal influence on IFNγ levels [71]. Fluctuations in hormone levels can affect the production of IFNγ, which plays a role in inflammatory processes and the body’s response to infections. Progesterone’s influence on IFNγ expression is particularly notable in inflammatory conditions, indicating its regulatory role in controlling IFNγ-mediated inflammation [72]. Throughout the menstrual cycle and pregnancy, IFNγ levels fluctuate, suggesting potential interactions between progesterone and IFNγ in the reproductive process [73].

4.12.2. CIDR Group

Significant positive correlation of AMH with IFNγ and TGFβ reveals that AMH is important in immunomodulation and tissue remodeling effecting immunological responses and inflammation. The relationship reveals a positive association of these two molecules with AMH [74].
Negative associations between AMH and TNFα indicate that TNFα-mediated inflammatory processes, implicated in a number of reproductive diseases, are adversely correlated with AMH levels [75]. The positive relationship between AMH and TGFβ is indicative of the fact that IFNγ may influence immunological responses and ovarian function [76].
On the other hand, the reverse association with progesterone and Estradiol 17-β reveals that IFNγ inhibits the synthesis of ovarian steroid hormones [77]. TNFα is a pro-inflammatory cytokine that can stimulate the production of other inflammatory cytokines including IL1, IL6, and IL13, which results in a positive correlation between TNFα and IL1, IL6, and IL13.

4.12.3. Co-Synch Group

AMH serves as an indicator of ovarian reserve and influences TGFβ-mediated processes involved in tissue remodeling and follicular development. Studies have indicated a positive correlation between AMH and TGFβ levels [74]. Estradiol 17-β, a hormone crucial for follicular growth and development, is likely associated with follicle quantity or maturity, as suggested by its positive correlation with Estradiol levels [78]. Pro-inflammatory cytokines TNFα and IFNγ often cooperate to regulate inflammation and immune responses, reflecting their coordinated functions in inflammatory processes [79]. TNFα and IL1, both pro-inflammatory cytokines, mutually reinforce each other’s production, amplifying inflammatory responses through positive feedback loops [80]. The positive relationship between IL6 and IL13 levels may indicate shared signaling pathways or regulatory systems [81]. IL6 can suppress progesterone synthesis and activity through various mechanisms, resulting in a negative association between their levels [82]. TGFβ levels may be influenced by IL13 activation or expression, providing a potential explanation for the positive association between their levels [83].

5. Conclusions

Altrenogest supplementation during synchronization protocols resulted in significantly lower Estradiol levels compared to the control and CIDR groups on day 9 of Co-synch treatment. This suggests a potential effect of altrenogest on Estradiol regulation during puberty induction in buffalo heifers.
Progesterone levels differed significantly between groups, particularly on Day 7 of both P4 and Co-synch treatments. Altrenogest supplementation led to a notable increase in progesterone by day 14 of treatment, suggesting its influence on progesterone production. Additionally, all groups showed significant variations in progesterone on Day 9 of Co-synch, indicating a potential role for the protocol itself in regulating progesterone levels during puberty induction.
A strong positive correlation was observed between interferon-gamma (IFNγ) and progesterone, suggesting that IFNγ plays a role in buffalo heifer puberty. Furthermore, altrenogest supplementation with AMH showed significant positive correlations with IFNγ and TGFβ while exhibiting a negative correlation with TNFα. These findings suggest complex interactions between AMH and specific cytokines during puberty induction with altrenogest.
Based on the correlation analysis, IL13 and TGFβ emerged as potential markers for buffalo heifer puberty. Future research exploring these factors in a larger study population could be beneficial.

Author Contributions

S.S.H. is the first author and made significant contributions to the entire research process—Conceptualization: developing the core idea and research question. Methodology: designing the experiment and choosing the methods. Validation: ensuring the soundness of the research design and methods. Formal analysis: analyzing the collected data using appropriate statistical methods. Investigation: conducting the experiment and collecting data. Writing—Original Draft: preparing the first and main draft of the manuscript. P.S. served as the major advisor and provided substantial guidance throughout the research—Conceptualization: contributing to the development of the research question. Methodology: offering advice on designing the experiment. Resources: securing the necessary resources for the research. Data Curation: overseeing the collection and storage of data. Reviewing and Editing: providing critical feedback on the manuscript. Supervision: guiding and mentoring the research work. Project Administration: managing the overall research project. Funding Acquisition: securing funding to support the research. N.S.R., C.S. and M.H. provided valuable expertise during the research process—Discussion: offering insights on the methodology, references, supervision, and interpretation of results. All authors have read and agreed to the published version of the manuscript.

Funding

The authors gratefully acknowledge the invaluable support and funding provided by the Indian Council of Agricultural Research (ICAR), New Delhi, under the patronage of the All India Coordinated Research Project (AICRP) on Nutritional and Physiological Interventions for Enhancing Reproductive Performance in Animals (Project Number ICAR-19).

Institutional Review Board Statement

The study, conducted between March and October 2023 at the Directorate of Livestock Farms, Guru Angad Dev Veterinary and Animal Sciences University (GADVASU) in Ludhiana, employed a rigorous approach to animal welfare. Buffalo calves and heifers selected for the experiment were housed in optimized environments that met their specific needs. This included providing them with adequate and balanced nutrition to support their growth and development, along with implementing comprehensive health management practices to ensure their well-being. To further ensure ethical treatment, the study received prior approval from the Institutional Animal Ethics Committee (IAEC) (GADVASU/2023/IAEC/69/11 dated 22 May 2023).

Data Availability Statement

The research data is available with the Guru Angad Dev Veterinary and Animal Sciences University due to privacy policy of the University.

Acknowledgments

The authors gratefully acknowledge the invaluable support provided by the Indian Council of Agricultural Research (ICAR), New Delhi, under the patronage of the All India Coordinated Research Project (AICRP) on Nutritional and Physiological Interventions for Enhancing Reproductive Performance in Animals (Project Number ICAR-19). This work is a part of students Master’s research. The support from the Directorate of Research, Guru Angad Dev Veterinary and Animal Sciences University for the technical support is gratefully acknowledged.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. Altrenogest therapy and Co-synchronization schedule for prepubertal buffalo heifers.
Figure 1. Altrenogest therapy and Co-synchronization schedule for prepubertal buffalo heifers.
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Figure 2. CIDR and Co-synchronization schedule for prepubertal buffalo heifers.
Figure 2. CIDR and Co-synchronization schedule for prepubertal buffalo heifers.
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Figure 3. Co-synchronization schedule for prepubertal buffalo heifers.
Figure 3. Co-synchronization schedule for prepubertal buffalo heifers.
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Table 1. Grouping of prepubertal buffalo heifers as per the treatment administered.
Table 1. Grouping of prepubertal buffalo heifers as per the treatment administered.
GroupNumber of Heifers
(n)
Treatment
Group I6Altrenogest @ 0.044 mg/kg/day/animal for 14 days plus
modified Co-Synch (Figure 1)
Group II6CIDR plus Co-Synch (Figure 2)
Group III6Co-Synch (Figure 3)
Table 2. Sampling (days) across groups of buffalo heifers subjected to Co-synch protocol.
Table 2. Sampling (days) across groups of buffalo heifers subjected to Co-synch protocol.
Day of Sampling (Day)TreatmentGroup 1Group 2Group 3 (Control)
0Altrenogest/CIDRDay 0Day 0Day 0
7Day 7Day 7Day 7
14Day 14Day 14Day 14
23Co-synch-Day 0Day 0
26Day 0--
30-Day 7Day 7
33Day 7Day 9Day 9
36Day 9--
Table 3. Estradiol 17-β (Mean ± SEM) pg/mL in buffalo heifers subjected to synchronization protocols.
Table 3. Estradiol 17-β (Mean ± SEM) pg/mL in buffalo heifers subjected to synchronization protocols.
PeriodDayAltrenogest
(Group 1)
CIDR
(Group 2)
Co-Synch
(Group 3)
p-Value
Day of P4 treatment0
(start of P4 treatment)
16.57 ± 2.0515.09 ± 2.4717.45 ± 0.980.691
718.52 ± 1.1518.35 ± 1.2217.02 ± 1.030.604
1419.26 ± 0.7216.26 ± 1.7917.8 ± 1.290.313
p-value0.3610.1260.640
During
Co-synch
0
(start of Co-synch)
20.11 a ± 0.3620.07 ± 0.3515.83 ± 3.190.210
719.77 a ± 0.3419.6 ± 0.5519.77 ± 0.570.961
914.41 b ± 1.9716.2 ± 3.1419.94 ± 0.440.213
p-value0.0240.3030.304
p < 0.05 level; means with different superscripts letters differ significantly within the column of each period.
Table 4. Progesterone (Mean ± SEM) (ng/mL) in buffalo heifers subjected to synchronization protocols.
Table 4. Progesterone (Mean ± SEM) (ng/mL) in buffalo heifers subjected to synchronization protocols.
PeriodDayAltrenogest (Group 1)CIDR (Group 2)Co-Synch
(Group 3)
p-Value
Day of P4
treatment
0
(start of P4 treatment)
0.68 ab ± 0.060.68 ± 0.100.68 ± 0.090.998
70.59 bB ± 0.152.66 A ± 1.000.81 B ± 0.120.048
140.97 a ± 0.151.03 ± 0.181.21 ± 0.290.706
p-value0.0430.0640.096
During
Co-synch
0
(Start of Co-synch
0.63 ± 0.160.96 ab ± 0.360.88 ab ± 0.230.664
71.33 ± 0.361.37 a ± 0.201.91 a ± 0.390.386
91.17 A ± 0.180.46 bB ± 0.080.51 bB ± 0.100.002
p-value0.1590.0410.007
p < 0.01 level; p < 0.05 level. Means with different lowercase, superscript letters differ significantly within the column of each period. Means with different capital superscript letters differ significantly within a row.
Table 5. AMH (Mean ± SEM) ng/L in buffalo heifers subjected to synchronization protocols.
Table 5. AMH (Mean ± SEM) ng/L in buffalo heifers subjected to synchronization protocols.
PeriodDayAltrenogest
(Group 1)
CIDR
(Group 2)
Co-Synch
(Group 3)
p-Value
Day of P4 treatment01.61 b ± 0.4112.4 ± 6.1511.24 ± 4.030.177
72.73 b ± 0.5111.63 ± 6.3736.38 ± 29.780.397
146.60 a ± 1.1710.23 ± 4.2331.85 ± 25.890.463
p-value0.0010.9100.507
During
Co-synch
04.61 ± 0.6113.96 ± 6.7434.28 ± 26.850.427
75.07 ± 0.9512.02 ± 5.1732.9 ± 26.870.451
94.68 ± 1.0811.23 ± 4.217.76 ± 3.250.360
p-value0.9090.7370.374
p < 0.01 level; Means with different superscript letters differ significantly within the column of each period.
Table 6. IFNγ (Mean ± SEM) ng/L in buffalo heifers subjected to synchronization protocols.
Table 6. IFNγ (Mean ± SEM) ng/L in buffalo heifers subjected to synchronization protocols.
PeriodDayAltrenogest (Group 1)CIDR (Group 2)Co-Synch (Group 3)p-Value
Days of P4 treatment0 (Start of P4 treatment)227.23 ± 31.83347.67 ± 85.28207.12 ± 55.290.249
7202.14 ± 23.82255.48 ± 68.02170.83 ± 35.390.446
14237.03 ± 47.15342.22 ± 73.24202.78 ± 43.090.220
p-value0.7890.0660.628
During
Co-synch
0 (Start of Co-synch)204.92 ± 20.2324.46 ± 63.5205.07 ab ± 20.320.084
7382.12 ± 85.01296.78 ± 66.16269.05 a ± 38.470.469
9203.82 ± 30.26296.7 ± 59.79166.96 b ± 24.470.105
p-value0.0590.6830.033
p < 0.05 level; Means with different superscript letters differ significantly within the column of each period.
Table 7. IL1 levels (Mean ± SEM) ng/L in buffalo heifers subjected to synchronization protocols.
Table 7. IL1 levels (Mean ± SEM) ng/L in buffalo heifers subjected to synchronization protocols.
PeriodDayAltrenogest (Group 1)CIDR (Group 2)Co-Synch (Group 3)p-Value
Day of P4 treatment0
(Start of P4 treatment)
717.68 ± 298.27742.49 ± 159.75392.41 ± 148.930.452
7742.89 ± 199.48604.83 ± 120.69706.03 ± 202.090.853
14684.37 ± 197.41536.46 ± 116.87412.39 ± 83.110.415
p-value0.9600.5050.282
During
Co-synch
0
(Start of Co-synch)
382.31 b ± 123.55370.57 ± 67.56438.02 ± 169.260.923
7755.16 aA ± 195.41339.81 B ± 112.94231.12 B ± 70.390.038
9723.14 aA ± 232.52279.01B ± 84.73229.04 B ± 77.330.024
p-value0.0430.7270.327
p < 0.05 level; Means with different superscript letters (lowercase) differ significantly within the column of each period, and across the groups (uppercase) on respective days.
Table 8. IL6 (Mean ± SEM) ng/L in buffalo heifers subjected to synchronization protocols.
Table 8. IL6 (Mean ± SEM) ng/L in buffalo heifers subjected to synchronization protocols.
PeriodDayAltrenogest (Group 1)CIDR
(Group 2)
Co-Synch (Group 3)p-Value
Days of P4 treatment0 (Start of P4 treatment)138.61 ± 41.45103.07 ± 48.0455.47 ± 14.580.320
7170.17 ± 60.18137.77 ± 46.80123.35 ± 49.200.813
14172.84 ± 37.35101.29 ± 48.8056.43 ± 21.840.122
p-value0.7880.8200.316
During
Co-synch
0 (Start of Co-synch)152.22 ± 54.79119.34 ab ± 33.0053.17 ± 15.260.205
7127.89 ± 28.6769.30 b ± 16.9951.20 ± 16.510.057
9160.38 ± 37.55163.03 a ± 38.61109.6 ± 39.410.556
p-value0.8230.0120.148
p < 0.05 level. Means with different superscript letters differ significantly within the column of each period.
Table 9. IL13 (Mean ± SEM) ng/L in buffalo heifers subjected to synchronization protocols.
Table 9. IL13 (Mean ± SEM) ng/L in buffalo heifers subjected to synchronization protocols.
PeriodDayAltrenogest (Group 1)CIDR
(Group 2)
Co-Synch (Group 3)p-Value
Days of P4 treatment0
(Start of P4 treatment)
60.36 ± 30.2769.22 ± 20.3946.89 ± 11.420.775
750.44 ± 15.1893.42 ± 24.360.26 ± 23.340.354
1440.37 ± 9.0684.09 ± 25.1737.93 ± 11.920.129
p-value0.5680.1240.620
During
Co-synch
0
(Start of Co-Synch)
37.83 ± 18.7864.72 ± 6.7842.25 ± 10.090.316
764.11 ± 23.9156.45 ± 8.2240.30 ± 13.500.594
986.84 ± 21.6645.17 ± 2.9048.69 ± 21.650.217
p-value0.1550.0680.782
p < 0.05 level; Means with different superscript letters differ significantly within the column of each period.
Table 10. TGFβ (Mean ± SEM) ng/mL in buffalo heifers subjected to synchronization protocols.
Table 10. TGFβ (Mean ± SEM) ng/mL in buffalo heifers subjected to synchronization protocols.
PeriodDayAltrenogest (Group 1)CIDR (Group 2)Co-Synch (Group 3)p-Value
Days of P4 treatment0
(Start of P4 treatment)
17.25 ± 7.0436.15 ± 6.2423.31 ± 4.390.108
722.27 ± 6.6344.51 ± 2.9532.46 ± 7.320.057
1421.00 B ± 6.0543.07 A ± 2.5134.52 AB ± 7.290.044
p-value0.7210.1950.251
During
Co-synch
0
(Start of Co-synch)
23.76 ± 6.1332.08 ± 5.3530.44 ± 8.630.668
716.51 ± 6.2534.23 ± 632.97 ± 4.740.080
919.48 ± 8.4435.06 ± 3.226.67 ± 6.010.245
p-value0.7530.9010.803
p < 0.05 level. Means with different superscript letters differ significantly within the column of each period.
Table 11. TNFα (Mean ± SEM) ng/mL in buffalo heifers subjected to synchronization protocols.
Table 11. TNFα (Mean ± SEM) ng/mL in buffalo heifers subjected to synchronization protocols.
PeriodDayAltrenogest (Group 1)CIDR (Group 2)Co-Synch (Group 3)p-Value
Days of P4 treatment0
(Start of P4 treatment)
19.85 ± 2.4729.18 ± 3.9627.92 ± 1.610.072
718.67 B ± 2.7332.68 A ± 2.8326.91 AB ± 4.620.039
1422.32 B ± 1.9533.67 A ± 3.1424.10 B ± 2.750.018
p-value0.4510.4520.548
During
Co-synch
0
(Start of Co-synch)
17.75 B ± 2.3429.81 A ± 2.5023.08 AB ± 2.440.011
720.55 ± 2.2623.9 ± 2.3622.41 ± 4.430.760
920.78 ± 3.9425.15 ± 3.3619.72 ± 1.860.459
p-value0.6530.2970.699
p < 0.05 level; means with different superscript letters differ significantly within the column of each period.
Table 12. Largest follicle (Mean ± SEM) mm in buffalo heifers subjected to synchronization protocols.
Table 12. Largest follicle (Mean ± SEM) mm in buffalo heifers subjected to synchronization protocols.
PeriodDayAltrenogest (Group 1)CIDR (Group 2)Co-Synch (Group 3)p-Value
Day of P4 treatment0
(Start of P4 treatment)
3.08 b ± 0.333.00 ± 0.452.71 b ± 0.360.768
76.83 aA ± 0.707.17 A ± 0.794.00 abB ± 0.520.009
148.17 a ± 0.706.67 ± 1.416.83 a ± 0.750.527
p-value<0.0010.0930.010
During
Co-synch
0
(Start of Co-synch)
5.83 b ± 0.484.67 ± 0.924.17 b ± 0.600.248
79.00 a ± 1.0011.00 ± 3.116.17 a ± 0.600.234
910.83 a ± 1.828.75 ± 1.268.50 a ± 1.520.520
p-value0.0180.1350.008
p < 0.01 level. Means with different lowercase, superscript letter differ significantly within the column of each period. Means with different capital, superscript letters differ significantly within the row.
Table 13. Karl Pearson correlation coefficients between hormones, cytokines, and follicular size in Buffalo heifers with altrenogest supplementation.
Table 13. Karl Pearson correlation coefficients between hormones, cytokines, and follicular size in Buffalo heifers with altrenogest supplementation.
VariableAMHEstradiol 17-βIFNγIL1IL6IL13ProgesteroneTGFβTNFαFollicle Size
AMH10.0490.103−0.0460.0120.0070.2720.1580.1340.132
Estradiol 17-β0.04910.0360.0010.023−0.073−0.1730.211−0.264−0.172
IFNγ0.1030.03610.1640.1880.2510.626 **−0.0200.1230.168
IL1−0.0460.0010.16410.0980.1820.1180.015−0.088−0.022
IL60.0120.0230.1880.0981−0.1750.0550.0100.202−0.109
IL130.007−0.0730.2510.182−0.17510.306−0.022−0.0310.150
Progesterone 0.272−0.1730.626 **0.1180.0550.30610.0690.1500.246
TGFβ0.1580.211−0.0200.0150.010−0.0220.06910.236−0.191
TNF-α0.134−0.2640.123−0.0880.202−0.0310.1500.2361−0.210
Follicle size0.132−0.1720.168−0.022−0.1090.1500.246−0.191−0.2101
** p < 0.01.
Table 14. Karl Pearson correlation coefficients between hormones, cytokines, and follicular size in CIDR Group.
Table 14. Karl Pearson correlation coefficients between hormones, cytokines, and follicular size in CIDR Group.
VariableAMHEstradiol 17-βIFNγIL1IL6IL13ProgesteroneTGFβTNFαFollicle Size
AMH1−0.3070.673 **−0.120−0.176−0.181−0.2470.463 **−0.342 *−0.067
Estradiol 17-β−0.3071−0.348 *0.0720.3140.2290.184−0.1680.2690.197
IFNγ0.673 **−0.348 *1−0.167−0.2520.017−0.454 **0.439 **−0.373 *−0.117
IL1−0.1200.072−0.16710.1680.0820.0010.0890.466 **−0.291
IL6−0.1760.314−0.2520.16810.3220.1180.1390.483 **0.062
IL13−0.1810.2290.0170.0820.32210.3150.1880.507 **0.101
Progesterone −0.2470.184−0.454 **0.0010.1180.3151−0.0960.2430.095
TGFβ0.463 **−0.1680.439 **0.0890.1390.188−0.09610.169−0.058
TNFα−0.342 *0.269−0.373 *0.466 **0.483 **0.507 **0.2430.1691−0.034
Follicle size−0.0670.197−0.117−0.2910.0620.1010.095−0.058−0.0341
** p < 0.01 level; * p < 0.05 level.
Table 15. Karl Pearson correlation coefficients between hormones, cytokines, and follicular size in Co-synch Group.
Table 15. Karl Pearson correlation coefficients between hormones, cytokines, and follicular size in Co-synch Group.
VariableAMHEstradiol 17-βIFNγIL1IL6IL13ProgesteroneTGFβTNFαFollicle Size
AMH1−0.255−0.0470.2560.026−0.0930.1810.408 *−0.041−0.168
Estradiol 17-β−0.25510.007−0.231−0.0440.0350.017−0.199−0.0490.351 *
IFNγ−0.0470.00710.083−0.0800.061−0.0290.1730.392 *−0.076
IL10.256−0.2310.0831−0.034−0.202−0.100−0.0230.391 *−0.210
IL60.026−0.044−0.08−0.03410.394 *−0.349 *0.0150.035−0.286
IL13−0.0930.0350.061−0.2020.394 *1−0.1500.377 *0.265−0.034
Progesterone 0.1810.017−0.029−0.100−0.349 *−0.151−0.053−0.2500.249
TGFβ0.408 *−0.1990.173−0.0230.0150.377 *−0.05310.0120.131
TNFα−0.041−0.0490.392 *0.391 *0.0350.265−0.2500.0121−0.278
Follicle size−0.1680.351 *−0.076−0.210−0.286−0.0340.2490.131−0.2781
* Significant at 0.05 level.
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Haridas, S.S.; Singh, P.; Ratta, N.S.; Singh, C.; Honparkhe, M. Cytokine Profiling and Puberty Enhancement Post Altrenogest Feeding in Prepubertal Murrah Buffalo (Bubalus bubalis) Heifers. Ruminants 2025, 5, 24. https://doi.org/10.3390/ruminants5020024

AMA Style

Haridas SS, Singh P, Ratta NS, Singh C, Honparkhe M. Cytokine Profiling and Puberty Enhancement Post Altrenogest Feeding in Prepubertal Murrah Buffalo (Bubalus bubalis) Heifers. Ruminants. 2025; 5(2):24. https://doi.org/10.3390/ruminants5020024

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Haridas, Sneha Swapna, Prahlad Singh, Navdeep Singh Ratta, Chanchal Singh, and Mrigank Honparkhe. 2025. "Cytokine Profiling and Puberty Enhancement Post Altrenogest Feeding in Prepubertal Murrah Buffalo (Bubalus bubalis) Heifers" Ruminants 5, no. 2: 24. https://doi.org/10.3390/ruminants5020024

APA Style

Haridas, S. S., Singh, P., Ratta, N. S., Singh, C., & Honparkhe, M. (2025). Cytokine Profiling and Puberty Enhancement Post Altrenogest Feeding in Prepubertal Murrah Buffalo (Bubalus bubalis) Heifers. Ruminants, 5(2), 24. https://doi.org/10.3390/ruminants5020024

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