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Su Y, Liu G, Hou H, Peng Y, Wang J. Development of a Magnetic Molecularly Imprinted Microsphere-Based Signal Amplified Semi-Homogeneous Method for Multidetection of Five Progestins in Milk. Foods 2023; 12:2818. [PMID: 37569089 PMCID: PMC10417076 DOI: 10.3390/foods12152818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 07/16/2023] [Accepted: 07/19/2023] [Indexed: 08/13/2023] Open
Abstract
The residues of progestins in milk are significant risk factors for teenage acne and may cause hormone-dependent cancers in consumers, so the determination of these residues in milk is very important. However, an immunoassay or immunoassay-like method capable of determining multiple progestins in milk has not been reported so far. The present study, for the first time, synthesized a type of magnetic molecularly imprinted microsphere that was capable of simultaneously recognizing five progestins. At the same time, an enzyme labeled conjugate was synthesized by coupling progesterone 3-(o-carboxymethyl)oxime with streptavidinated horseradish peroxidase. The above two reagents were used to develop a semi-homogeneous method for the simultaneous detection of the residues of the five progestins in milk. During the experiments, biotinylated horseradish peroxidase was used to amplify the signal, so the sensitivity to the five drugs (limits of detection 0.04-0.1 pg/mL) was increased 44-75-fold. In addition, the magnetic molecularly imprinted microsphere could be regenerated four times by using simple elution. Through general comparison of its detection spectrum, sensitivity, simplicity, and reusability, the present method exhibited better performance than the previous immunoassays for the detection of progestins, and so it could be used as a routine tool for the screening of progestins residues in milk.
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Affiliation(s)
| | | | | | | | - Jianping Wang
- College of Veterinary Medicine, Hebei Agricultural University, Baoding 071000, China; (Y.S.); (G.L.); (H.H.); (Y.P.)
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Falco A, Girardi D, Elfering A, Peric T, Pividori I, Dal Corso L. Is Smart Working Beneficial for Workers' Wellbeing? A Longitudinal Investigation of Smart Working, Workload, and Hair Cortisol/Dehydroepiandrosterone Sulfate during the COVID-19 Pandemic. Int J Environ Res Public Health 2023; 20:6220. [PMID: 37444069 PMCID: PMC10341102 DOI: 10.3390/ijerph20136220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 05/23/2023] [Accepted: 06/21/2023] [Indexed: 07/15/2023]
Abstract
Building on the job demands-resources (JD-R) and allostatic load (AL) models, in the present study we examined the role of smart working (SW) in the longitudinal association between workload/job autonomy (JA) and a possible biomarker of work-related stress (WRS) in the hair-namely, the cortisol-dehydroepiandrosterone sulfate (DHEA(S)) ratio-during the COVID-19 pandemic. Overall, 124 workers completed a self-report questionnaire (i.e., psychological data) at Time 1 (T1) and provided a strand of hair (i.e., biological data) three months later (Time 2, T2). Results from moderated multiple regression analysis showed that SW at T1 was negatively associated with the hair cortisol/DHEA(S) ratio at T2. Additionally, the interaction between workload and SW was significant, with workload at T1 being positively associated with the hair cortisol/DHEA(S) ratio at T2 among smart workers. Overall, this study indicates that SW is a double-edged sword, with both positive and negative consequences on employee wellbeing. Furthermore, our findings suggest that the hair cortisol/DHEA(S) ratio is a promising biomarker of WRS. Practical implications that organizations and practitioners can adopt to prevent WRS and promote organizational wellbeing are discussed.
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Affiliation(s)
- Alessandra Falco
- FISPPA Section of Applied Psychology, University of Padua, 35131 Padua, Italy
| | - Damiano Girardi
- FISPPA Section of Applied Psychology, University of Padua, 35131 Padua, Italy
| | - Achim Elfering
- Institute of Psychology, University of Bern, 3012 Bern, Switzerland
| | - Tanja Peric
- Department of Agricultural, Environmental and Animal Sciences, University of Udine, 33100 Udine, Italy
| | - Isabella Pividori
- Department of Agricultural, Environmental and Animal Sciences, University of Udine, 33100 Udine, Italy
| | - Laura Dal Corso
- FISPPA Section of Applied Psychology, University of Padua, 35131 Padua, Italy
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Cotticelli A, Verde MT, Matera R, Pividori I, Prandi A, Neglia G, Peric T. Validation of a radioimmunoassay method for cortisol in buffalo milk whey. A preparatory step for future sensor technology. Italian Journal of Animal Science 2022. [DOI: 10.1080/1828051x.2022.2147868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Alessio Cotticelli
- Dipartimento di Medicina Veterinaria e Produzioni Animali, Università degli Studi di Napoli Federico II, University of Naples Federico II, Naples, Italy
| | - Maria Teresa Verde
- Dipartimento di Ingegneria elettrica e delle Tecnologie dell’Informazione, University of Naples Federico II, Naples, Italy
| | - Roberta Matera
- Dipartimento di Medicina Veterinaria e Produzioni Animali, Università degli Studi di Napoli Federico II, University of Naples Federico II, Naples, Italy
| | - Isabella Pividori
- Dipartimento di Scienze agroalimentari ambientali e animali, University of Udine, Via Sondrio, Udine, Italy
| | - Alberto Prandi
- Dipartimento di Scienze agroalimentari ambientali e animali, University of Udine, Via Sondrio, Udine, Italy
| | - Gianluca Neglia
- Dipartimento di Medicina Veterinaria e Produzioni Animali, Università degli Studi di Napoli Federico II, University of Naples Federico II, Naples, Italy
| | - Tanja Peric
- Dipartimento di Scienze agroalimentari ambientali e animali, University of Udine, Via Sondrio, Udine, Italy
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Mollo A, Agazzi A, Prandi A, Fusi J, De Amicis I, Probo M. Metabolic and production parameters of dairy cows with different dry period lengths and parities. Acta Vet Hung 2021; 69:354-362. [PMID: 34792484 DOI: 10.1556/004.2021.00049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 10/18/2021] [Indexed: 11/19/2022]
Abstract
To assess the effects of dry period (DP) length on metabolic, reproductive, and productive parameters, second- (SP) and third- (TP) parity cows were assigned to a traditional (9 weeks, T) or short (5 weeks, S) DP, obtaining four subgroups: second-parity cows with traditional (SPT = 8) and short (SPS = 8) DP, third-parity cows with traditional (TPT = 8) and short (TPS = 10) DP. Plasma insulin-like growth factor-I (IGF-I) and non-esterified fatty acid (NEFA) levels were assessed from 5 weeks before to 14 weeks after parturition. IGF-I concentrations were affected by parity (P < 0.05) and by the interaction of time and DP length (P < 0.01). NEFA levels were affected only by time (P < 0.01). S DP cows showed a shorter interval between calving and ovarian cyclicity resumption (P < 0.01) and a higher milk yield (P < 0.01) and fat and protein corrected milk (P < 0.01) compared with T DP cows. Decreased milk protein content was found in the SPS group compared to the SPT (P < 0.05) and the TPS (P < 0.05) group. In conclusion, a short DP length does not affect reproductive performances, except for hastening the resumption of ovarian cyclicity. A short DP appears to increase milk production and is associated with higher IGF-I levels both in the prepartum and the postpartum period.
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Affiliation(s)
- Antonio Mollo
- 1 Department of Animal Medicine, Production and Health, University of Padua, Legnaro (PD), Italy
| | - Alessandro Agazzi
- 2 Department of Health, Animal Science and Food Safety 'Carlo Cantoni', Università degli Studi di Milano, Lodi, Italy
| | - Alberto Prandi
- 3 Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, Udine, Italy
| | - Jasmine Fusi
- 4 Department of Veterinary Medicine, Università degli Studi di Milano, via dell'Università 6, 26900 Lodi, Italy
| | | | - Monica Probo
- 4 Department of Veterinary Medicine, Università degli Studi di Milano, via dell'Università 6, 26900 Lodi, Italy
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Comin A, Peric T, Montillo M, Cappa A, Marchi V, Veronesi MC, Prandi A. Luteal activity and effect of dietary energy restriction on follicular development in lactating cows. Reprod Domest Anim 2017; 52:632-639. [PMID: 28378464 DOI: 10.1111/rda.12959] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2016] [Accepted: 02/09/2017] [Indexed: 11/29/2022]
Abstract
The aim of this research has been to evaluate the presence of anomalies in the ovarian cycle activity during postpartum and to verify whether 72-hr dietary fasting during the dominance phase, the phase before ovulation, might modify the ovarian follicle population. The presence of anomalies in ovarian cycle activity has been evaluated in 30 Italian Friesian cows starting from 20 days postpartum until 211 days of lactation. Long oestrus and brief dioestrus or scarce luteal activity have been the main anomalies found through measuring progesterone concentrations in the whey. Until 100 days of lactation, the BCS values of the problematic animals have been significantly lower than those in animals with normal ovarian activity. After 100 days of lactation, the ovarian anomalies continued to appear despite the fact that all the animals have reached comparable BCS values. Starting from the results of this trial, the effect of 72-hr dietary fasting on dominant follicles has been studied in six cows. Ultrasonography revealed that the diameter of the follicles at 71 days postpartum has been significantly lower than at 181 days. A 72-hr dietary restriction at 101 and 211 days postpartum did not affect the size of the dominant follicle. However, at 101 days postpartum, half of the animals presented follicular cysts. The effect of fasting differed if the animal has been in early postpartum or 211 days of lactation. Further researches are necessary to understand how different metabolic conditions can modify the follicular population but on the other hand the study shows the utility for farmers and field veterinarians of monitoring the resumption of the ovarian cycle postpartum through the whey progesterone concentrations.
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Affiliation(s)
- A Comin
- Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, Udine, Italy
| | - T Peric
- Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, Udine, Italy.,Center for Biomedical Science and Engineering, University of Nova Gorica, Nova Gorica, Slovenia
| | - M Montillo
- Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, Udine, Italy
| | - A Cappa
- Evoluzione S.r.l., Sossano (VI), Italy
| | | | - M C Veronesi
- Department of Veterinary Medicine, University of Milano, Milano, Italy
| | - A Prandi
- Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, Udine, Italy
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Crociati M, Sylla L, Floridi C, Comin A, Fruganti G, Monaci M, Stradaioli G. Influence of lipoproteins at dry-off on metabolism of dairy cows during transition period and on postpartum reproductive outcomes. Theriogenology 2017; 94:31-6. [PMID: 28407858 DOI: 10.1016/j.theriogenology.2017.02.007] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2016] [Revised: 02/09/2017] [Accepted: 02/09/2017] [Indexed: 01/31/2023]
Abstract
High-yielding dairy cows are metabolically challenged during transition, when intense mobilization and hepatic oxidation of lipids is achieved, thus leading to fatty infiltration, ketosis and generalized inflammation. The condition is associated to periparturient diseases and poor fertility. The aim of this study was to assess whether serum lipoprotein concentrations in the dry period could influence the occurrence of postpartum diseases and reproductive performance in dairy cows. The study was carried out on 30 multiparous Holstein Friesian cows. Blood samples were collected at dry-off (-60 days), 30 days after dry-off and within 12 h after parturition for biochemical and serum lipoprotein assays. From 10 to 60 days after parturition milk was collected twice weekly after feeding, for milk whey progesterone assay. The Optimal Cutpoint package identified a threshold of 89% for serum High Density Lipoprotein (HDL) concentration at the beginning of the dry period with 95% of confidence interval. Cows with serum HDL greater than 89% (High group, n = 10) showed better reproductive performance when compared to those with low values (Low group, n = 18). The odds ratio for reproductive disorders in High group was 0.6875, however, differences were not significant probably due to both the reduced number of animals per group and overall low incidence of postpartum reproductive disease. First postpartum luteal activity occurred around day 23, while the second one between days 40 and 48. The average calving to first AI interval was 64.00 ± 3.95 days and 94.50 ± 12.32 days in High and Low group, respectively (P < 0.05). The calving-conception interval was 129.86 ± 24.42 days and 199.18 ± 24.73 days in High and Low groups, respectively (P < 0.05). Low group displayed an increase in liver markers, that is total bilirubin, with 0.46 ± 0.09 mg/dL and 0.23 ± 0.08 mg/dL, in Low and High group respectively (P < 0.05), and NEFA/cholesterol ratio, with 0.30 ± 0.06 and 0.14 ± 0.03, in Low and High groups, respectively (P < 0.05), at parturition. Concentrations of HDL >89% at dry-off could be suggestive of improved liver adaptation to the transition, and probably of enhanced fertility in High group.
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Wu L, Xu C, Xia C, Duan Y, Xu C, Zhang H, Bao J. Development and application of an ELISA kit for the detection of milk progesterone in dairy cows. Monoclon Antib Immunodiagn Immunother 2015; 33:330-3. [PMID: 25358001 DOI: 10.1089/mab.2014.0013] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Progesterone (P4) is a steroid gonadal hormone that is mainly produced from the corpus luteum and placenta and has various biological functions, especially reproductive regulation. It is important to establish a specific and sensitive P4 enzyme-linked immunosorbent assay (ELISA) for the study of ovary activity and reproductive disorders. Therefore, we prepared a monoclonal antibody (MAb) in a completed antigen (11α-OH-P4-HS-OVA). Based on the MAb and our previously prepared completed antigen, a highly specific and sensitive ELISA was developed. In the present study, a competitive ELISA for the determination of P4 was described in dairy cow milk. It was found that P4 concentration in milk samples from five pregnant cows was significantly higher than that from five estrus cows. The diagnosis rate for pregnancy and non-pregnancy in 54 dairy cows were 93.3% and 95.8%, respectively, at 19 to 23 days after pregnancy by detecting milk P4 concentration. In summary, the developed ELISA is a potential tool for P4 research and offers an alternative, simple, rapid technique for detecting P4, especially in future large clinical investigations on pregnancy identification and reproductive disorders in dairy farms in China.
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Affiliation(s)
- Ling Wu
- 1 College of Animal Science and Veterinary Medicine, HeiLongjiang Bayi Agricultural University , Daqing, P.R. China
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Affiliation(s)
- Hong You Zhang
- College of Animal Science and Veterinary Medicine; Heilongjiang Bayi Agricultural University; Daqing; 163319; China
| | - Xia Yan Du
- School of Public Health; Harbin Medical University; Harbin; 150081; China
| | - Qian Liu
- College of Animal Science and Veterinary Medicine; Heilongjiang Bayi Agricultural University; Daqing; 163319; China
| | - Cheng Xia
- College of Animal Science and Veterinary Medicine; Heilongjiang Bayi Agricultural University; Daqing; 163319; China
| | - Ling Wei Sun
- College of Animal Science and Veterinary Medicine; Heilongjiang Bayi Agricultural University; Daqing; 163319; China
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AI ZHAO, YUMEI ZHANG, TITI YANG, QINGHAI SHENG, XIAOHONG KANG, PEIYU WANG. The concentrations of some hormones and growth factors in bovine and human colostrums: Short communication. INT J DAIRY TECHNOL 2012. [DOI: 10.1111/j.1471-0307.2012.00864.x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Xu L, Zhang L, Zhang Y, Sheng Q, Zhao A. Qualitative and quantitative comparison of hormone contents between bovine and human colostrums. Int Dairy J 2011. [DOI: 10.1016/j.idairyj.2010.04.006] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Campanile G, Vecchio D, Di Palo R, Neglia G, Gasparrini B, Prandi A, Zicarelli L, D'Occhio MJ. Delayed treatment with GnRH agonist, hCG and progesterone and reduced embryonic mortality in buffaloes. Theriogenology 2008; 70:1544-9. [PMID: 18706685 DOI: 10.1016/j.theriogenology.2008.07.003] [Citation(s) in RCA: 27] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2007] [Revised: 06/30/2008] [Accepted: 07/01/2008] [Indexed: 10/21/2022]
Abstract
The present study examined the effect of delayed treatment with tropic hormones and progesterone (P4) on embryonic mortality in buffaloes. Buffaloes with a conceptus on Day 25 after AI were assigned to the following treatments: Control (n=41), i.m. physiological saline; GnRH agonist (n=36), i.m. 12 microg buserelin acetate; hCG (n=33), i.m. 1500 IU hCG; P4 (n=38), i.m. 341 mg P4 every 4 days on three occasions. Control buffaloes had an embryonic mortality of 41.4% (17/41) between Days 25 and 45, and this was reduced (P<0.01) by treatment with GnRH agonist (11.1%, 4/36), hCG (9.0%, 3/33) and P4 (13.1%, 5/38). On Day 45, buffaloes treated with hCG and which ovulated had greater (P<0.05) concentrations of P(4) in whey (453 +/- 41 pg/ml) than buffaloes in the same treatment that did not ovulate (297 +/- 32 pg/ml). A similar but non-significant trend was observed for buffaloes treated with GnRH agonist. It was concluded from the findings that the treatment of buffaloes on Day 25 after AI with tropic hormones or P4 is beneficial to processes associated with embryonic implantation.
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Affiliation(s)
- G Campanile
- DISCIZIA, Faculty of Veterinary Medicine, Federico II University, V.F. Delpino 1, Naples 80137, Italy.
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Faustini M, Battocchio M, Vigo D, Prandi A, Veronesi MC, Comin A, Cairoli F. Pregnancy diagnosis in dairy cows by whey progesterone analysis: An ROC approach. Theriogenology 2007; 67:1386-92. [PMID: 17403532 DOI: 10.1016/j.theriogenology.2007.02.011] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2006] [Revised: 02/21/2007] [Accepted: 02/25/2007] [Indexed: 10/23/2022]
Abstract
Concentration of progesterone in milk may be used to predict pregnancy status of dairy cattle by the 21st day after insemination. However, the accuracy of this method may be affected by fat-solubility of progesterone and sample storage conditions. After coagulation of a milk sample with rennet, an alternative method is to quantify progesterone concentration in whey with a novel, validated EIA. In this experiment, a receiver operating characteristic (ROC) analysis was performed to estimate the optimal discrimination point for whey progesterone concentration, using a sample of 991 Friesian cows evaluated between the 42nd and 44th day after insemination. Cows also were diagnosed for pregnancy by rectal palpation at this time. The overall conception rate at palpation was 57%. ROC analysis indicated that 259 pg/mL progesterone in whey was the most effective cutoff to discriminate correctly between pregnant and non-pregnant cows. Using this point for prediction, sensitivity was 98.2%, specificity was 70.9% and the area under ROC curve was 0.859, levels generally considered to denote moderate accuracy. The negative likelihood ratio at the cutoff of 259 pg/mL was 0.02, indicating satisfactory performance in detecting negative subjects, while the positive likelihood ratio (+LR=3.37) suggested average performance. In conclusion, EIA of progesterone concentration in whey is a viable method for predicting pregnancy status in cows. However, operators should take management objectives for the herd into account in determining the cutoff point and also considering important influencing variables such as conception rate in the herd. This method can provide diagnostic support for efforts to improve reproductive success, especially in low-fertility herds.
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Affiliation(s)
- M Faustini
- Department of Veterinary Sciences and Technologies for Food Safety, Faculty of Veterinary Medicine, University of Milan, Via G. Celoria, 1020133 Milan, Italy.
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