BIOINFORMATICS EVALUATION OF CRISP2 GENE SNPs AND THEIR IMPACTS ON PROTEIN

This study evaluated the CRISP2 gene's functional single nucleotide polymorphisms, and its results may be advantageous for future population-based studies and early diagnostic discoveries, particularly in developing effective treatments. The CRISP2 gene encodes a secretory protein with a high cysteine content, which belongs to the family of cysteine-rich secretory proteins (CRISP). SNPs are genetic variations that may affect a protein's structure or functionality. Prior to carrying out a broader population investigation, it is possible to evaluate suspected functional SNPs since it is challenging to uncover functional SNPs in disease-linked genes. As a result, using various bioinformatic prediction models, the potentially harmful three SNPs of the CRISP2 gene were predicted in this in-silico study from the neutral ones. Out of a pool of 260 nsSNPs, three SNPs (L56V, M176I, and C196R) been selected to anticipate their impacts on functions and structures along with their capability to impair protein stability. Actually, two of the three SNPs in the CRISP2 gene L56V and C196R were identified as possibly detrimental, although M176I was not. But all of these SNPs dropped significantly protein stability, per the I-Mutant suite

GENETIC POLYMORPHISMS OF CRISP2 GENE IN ASSOCIATION WITH INFERTILITY IN IRAQI PATIENTS

The objective of this study was to evaluate the association and effect of CRISP2 variants on the risk of asthenozoospermia, a male infertility condition marked by absent or diminished sperm motility. There are numerous reasons why individuals develop asthenozoospermia. Therefore, it is crucial to understand the molecular mechanisms underlying this condition of infertility. Furthermore, seminal plasma, a rich source of sperm quality-related biomarkers, transports the many spermatozoa pools that make up human ejaculate down the epididymis. These spermatozoa vary in size, shape, and motility. The morphology and mobility of male ejaculated spermatozoa are affected by a number of genes, including CRISP2. In seminal samples from 120 Iraqi infertile male patients and 40 healthy males who were matched for age, gender, and ethnicity as a control group, the connection of the CRISP2 gene single nucleotide polymorphisms L56V, M176I, and C196R with infertility was investigated. According to statistical analysis of the genotype distribution of these three nsSNPs of the CRISP2 gene in patients with the asthenozoospermia subgroup and the control group, there weren't detectable differences in genotype distribution between AS, OAS, OTA, and fertile men in the Iraqi research sample. Based on allele frequencies, C, T, and G were determined to be protective alleles, with OR values of 0.74, 0.64, and 2.0, respectively

STUDY THE EXPRESSION OF IL-22 GENE IN AUTOIMMUNE HYPOTHYROIDISM IN IRAQ

This study was aimed to assess expression of IL-22 gene in patients with newly diagnosed autoantibodies against the thyroid antigens; anti-thyroglobulin (anti-TG), and anti-thyroid peroxidase (anti-TPO) in comparison with patients previously diagnosed and treated for autoimmune hypothyroidism as well as healthy control individuals. Twenty-eight patients with positive anti-TG and/or anti-TPO were enrolled in this study along with twelve age- and gender-matched healthy controls. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) was used to assess gene expression and fold change among the study groups. Results revealed anti-TG concentration ranges of 134.3 to 2998.9 IU/mL and anti-TPO concentration ranges of 41.6 to 1018.4 IU/mL in patients while control group individuals were negative for these autoantibodies. The mean fold change of IL-22 expression (2-∆∆Ct) was the highest in newly diagnosed patients compared to patients on treatment for autoimmune hypothyroidism and healthy controls indicating the potential role of IL-22 in the early stages of the disease and its contribution in immune imbalance

Identification of a Methylation Pattern in the SNRPN Gene Promoter and its Association with Semen Abnormality Among Iraqi Males

Infertility considered as a multifactorial condition; the small nuclear ribonucleoprotein polypeptide N (SNRPN) gene is an imprinted gene. However, abnormal imprinting of this gene due to the methylation may result in abnormal function or silencing of the gene. Main aim of this study is to investigate the methylation present at the promoter of (SNRPN) gene and its role as a risk factor for male infertility. Sixty- three infertile males with age mean (32.28 ± 6.88 years) and 13 fertile males as a control age mean (34.07 ± 6.52 years) were investigated. Whole genomic DNA was extracted, DNA integrity was checked using β-globin gene as an internal control. The targeted region was amplified by polymerase chain reaction (PCR) technique. In addition, the SNRPN gene's promoter methylation was qualitatively detected using Real time polymerase chain reaction (qPCR) utilizing two sets of primers: methylated and un-methylated. Results reveled that all of the 63 infertile males were experiencing decrease in sperm concentration 9.42 ± 8.70 million/ml, reduced progressive motility 2.89 ± 5.45% as well as strange sperm morphology 27.06 ± 16.50%, while the values in the control group are normal. The results of the current investigation showed that the promoter of SNRPN was hypermethylated in some samples 22.7%, somewhat methylated in others 20.4%, and unmethylated in other samples 56.8% from infertile samples, while none of the 13 control samples had any methylation. These findings suggest that SNRPN gene may be associated with the negative changes in semen parameters, which could lead to male infertility

Child health promotion in underserved communities: The FAMILIA trial

Background: Preschool-based interventions offer promise to instill healthy behaviors in children, which can be a strategy to reduce the burden of cardiovascular disease later. However, their efficacy in underserved communities is not well established. Objectives: The purpose of this study was to assess the impact of a preschool-based health promotion educational intervention in an underserved community. Methods: This cluster-randomized controlled study involved 15 Head Start preschools in Harlem, New York. Schools and their children were randomized 3:2 to receive either a 4-month (50 h) educational intervention to instill healthy behaviors in relation to diet, physical activity, body/heart awareness, and emotion management; or their standard curriculum (control). The primary outcome was the change from baseline in the overall knowledge, attitudes, and habits (KAH) score of the children at 5 months. As secondary outcomes, we evaluated the changes in KAH subcomponents and emotion comprehension. Linear mixed-effects models were used to test for intervention effects. Results: The authors enrolled 562 preschool children age 3 to 5 years, 51% female, 54% Hispanic/Latino, and 37% African-American. Compared with the control group, the mean relative change from baseline in the overall KAH score was ∼2.2 fold higher in the intervention group (average absolute difference of 2.86 points; 95% confidence interval: 0.58 to 5.14; p = 0.014). The maximal effect was observed in children who received >75% of the curriculum. Physical activity and body/heart awareness components, and knowledge and attitudes domains, were the main drivers of the effect (p values <0.05). Changes in emotion comprehension trended toward favoring intervened children. Conclusions: This multidimensional school-based educational intervention may be an effective strategy for establishing healthy behaviors among preschoolers from a diverse and socioeconomically disadvantaged community. Early primordial prevention strategies may contribute to reducing the global burden of cardiovascular disease. (Family-Based Approach in a Minority Community Integrating Systems-Biology for Promotion of Health [FAMILIAThis study is funded by the American Heart Association under grant No. 14SFRN20490315. The CNIC is supported by the Ministerio de Ciencia, Innovación y Universidades and the Pro CNIC Foundation, and is a Severo Ochoa Center of Excellence (SEV-2015-0505). Dr. Fernandez-Jimenez is a recipient of funding from the European Union Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 707642. Dr. Bansilal is an employee of Bayer Pharmaceutical

Different Lifestyle Interventions in Adults From Underserved Communities: The FAMILIA Trial

BACKGROUND: The current trends of unhealthy lifestyle behaviors in underserved communities are disturbing. Thus, effective health promotion strategies constitute an unmet need. OBJECTIVES: The purpose of this study was to assess the impact of 2 different lifestyle interventions on parents/caregivers of children attending preschools in a socioeconomically disadvantaged community. METHODS: The FAMILIA (Family-Based Approach in a Minority Community Integrating Systems-Biology for Promotion of Health) study is a cluster-randomized trial involving 15 Head Start preschools in Harlem, New York. Schools, and their children's parents/caregivers, were randomized to receive either an "individual-focused" or "peer-to-peer-based" lifestyle intervention program for 12 months or control. The primary outcome was the change from baseline to 12 months in a composite health score related to blood pressure, exercise, weight, alimentation, and tobacco (Fuster-BEWAT Score [FBS]), ranging from 0 to 15 (ideal health = 15). To assess the sustainability of the intervention, this study evaluated the change of FBS at 24 months. Main pre-specified secondary outcomes included changes in FBS subcomponents and the effect of the knowledge of presence of atherosclerosis as assessed by bilateral carotid/femoral vascular ultrasound. Mixed-effects models were used to test for intervention effects. RESULTS: A total of 635 parents/caregivers were enrolled: mean age 38 ± 11 years, 83% women, 57% Hispanic/Latino, 31% African American, and a baseline FBS of 9.3 ± 2.4 points. The mean within-group change in FBS from baseline to 12 months was ∼0.20 points in all groups, with no overall between-group differences. However, high-adherence participants to the intervention exhibited a greater change in FBS than their low-adherence counterparts: 0.30 points (95% confidence interval: 0.03 to 0.57; p = 0.027) versus 0.00 points (95% confidence interval: -0.43 to 0.43; p = 1.0), respectively. Furthermore, the knowledge by the participant of the presence of atherosclerosis significantly boosted the intervention effects. Similar results were sustained at 24 months. CONCLUSIONS: Although overall significant differences were not observed between intervention and control groups, the FAMILIA trial highlights that high adherence rates to lifestyle interventions may improve health outcomes. It also suggests a potential contributory role of the presentation of atherosclerosis pictures, providing helpful information to improve future lifestyle interventions in adults.AGENCIA FINANCIADORA: The American Heart Association, under grant No 14SFRN20490315, funded this study. R.F-J is a recipient of funding from the European Union Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 707642. The CNIC is supported by the Instituto de Salud Carlos III (ISCIII), the Ministerio de Ciencia, Innovación y Universidades (MCNU) and the Pro CNIC Foundation, and is a Severo Ochoa Center of Excellence (SEV-2015-0505).S

A conceptual framework for crop-based agri-food supply chain characterization under uncertainty

[EN] Crop-based Agri-food Supply Chains (AFSCs) are complex systems that face multiple sources of uncertainty that can cause a significant imbalance between supply and demand in terms of product varieties, quantities, qualities, customer requirements, times and prices, all of which greatly complicate their management. Poor management of these sources of uncertainty in these AFSCs can have negative impact on quality, safety, and sustainability by reducing the logistic efficiency and increasing the waste. Therefore, it becomes crucial to develop models in order to deal with the key sources of uncertainty. For this purpose, it is necessary to precisely understand and define the problem under study. Even, the characterisation process of this domains is also a difficult and time-consuming task, especially when the right directions and standards are not in place. In this chapter, a Conceptual Framework is proposed that systematically collects those aspects that are relevant for an adequate crop-based AFSC management under uncertainty.Authors of this publication acknowledge the contribution of the Project 691249, RUC-APS "Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems" (www.ruc-aps.eu), funded by the European Union under their funding scheme H2020-MSCA-RISE-2015Alemany Díaz, MDM.; Esteso, A.; Ortiz Bas, Á.; Hernández Hormazabal, JE.; Fernández, A.; Garrido, A.; Martin, J.... (2021). A conceptual framework for crop-based agri-food supply chain characterization under uncertainty. Studies in Systems, Decision and Control. 280:19-33. https://doi.org/10.1007/978-3-030-51047-3_2S1933280Taylor, D.H., Fearne, A.: Towards a framework for improvement in the management of demand in agri-food supply chains. Supply Chain Manage. 11, 379–384 (2006)Matopoulos, A., Vlachopoulou, M., Manthou, V., Manos, B.: A conceptual framework for supply chain collaboration: empirical evidence from the agri-food industry. Supply Chain Manage. 12, 177–186 (2007)Ahumada, O., Villalobos, J.R.: Application of planning models in the agri-food supply chain: a review. Eur. J. Oper. Res. 196, 1–20 (2009)Iakovou, E., Vlachos, D., Achillas, C., Anastasiadis, F.: A methodological framework for the design of green supply chains for the agrifood sector. Paper presented at the 2nd international conference on supply chains, Katerini, 5–7 Oct 2012Manzini, R., Accorsi, R.: The new conceptual framework for food supply chain assessment. J. Food Eng. 115, 251–263 (2013)Shukla, M., Jharkharia, S.: Agri-fresh produce supply chain management: a state-of-the-art literature review. Int. J. Oper. Prod. Manage. 33, 114–158 (2013)Lemma, Y., Kitaw, D., Gatew, G.: Loss in perishable food supply chain: an optimization approach literature review. Int. J. Sci. Eng. Res. 5, 302–311 (2014)Tsolakis, N.K., Keramydas, C.A., Toka, A.K., Aidonis, D.A., Iakovou, E.T.: Agrifood supply chain management: a comprehensive hierarchical decision-making framework and a critical taxonomy. Biosyst. Eng. 120, 47–64 (2014)Van der Vorst, J.G., Da Silva, C.A., Trienekens, J.H.: Agro-industrial Supply Chain Management: Concepts and Applications. FAO (2007)Hernandez, J., Mortimer, M., Patelli, E., Liu, S., Drummond, C., Kehr, E., Calabrese, N., Iannacone, R., Kacprzyk, J., Alemany, M.M.E., Gardner, D.: RUC-APS: enhancing and implementing knowledge based ICT solutions within high risk and uncertain conditions for agriculture production systems. In: 11th International Conference on Industrial Engineering and Industrial Management, Valencia, Spain (2017)Miles, M.B., Huberman, A.M.: Qualitative Data Analysis: An Expanded Sourcebook. Sage Publications, Thousand Oaks (1994)Alemany, M.M.E., Alarcón, F., Lario, F.C., Boj, J.J.: An application to support the temporal and spatial distributed decision-making process in supply chain collaborative planning. Comput. Ind. 62, 519–540 (2011)Teimoury, E., Nedaei, H., Ansari, S., Sabbaghi, M.: A multi-objective analysis for import quota policy making in a perishable fruit and vegetable supply chain: a system dynamics approach. Comput. Electron. Agric. 93, 37–45 (2013)Kusumastuti, R.D., van Donk, D.P., Teunter, R.: Crop-related harvesting and processing planning: a review. Int. J. Prod. Econ. 174, 76–92 (2016)Zhang, W., Wilhelm, W.E.: OR/MS decision support models for the specialty crops industry: a literature review. Ann. Oper. Res. 190, 131–148 (2011)Grillo, H., Alemany, M.M.E., Ortiz, A.: A review of mathematical models for supporting the order promising process under lack of homogeneity in product and other sources of uncertainty. Comput. Ind. Eng. 91, 239–261 (2016)Blanco, A.M., Masini, G., Petracci, N., Bandoni, J.A.: Operations management of a packaging plant in the fruit industry. J. Food Eng. 70, 299–307 (2005)Grillo, H., Alemany, M.M.E., Ortiz, A., Fuertes-Miquel, V.S.: Mathematical modelling of the order-promising process for fruit supply chains considering the perishability and subtypes of products. Appl. Math. Model. 49, 255–278 (2017)Verdouw, C.N., Beulens, A.J.M., Trienekens, J.H., Wolferta, J.: Process modelling in demand-driven supply chains: a reference model for the fruit industry. Comput. Electron. Agric. 73, 174–187 (2010)Amorim, P., Günther, H., Almada-Lobo, B.: Multi-objective integrated production and distribution planning of perishable products. Int. J. Prod. Econ. 138, 89–101 (2012)Nahmias, S.: Perishable inventory theory: a review. Oper. Res. 30, 680–708 (1982)Mowat, A., Collins, R.: Consumer behavior and fruit quality: supply chain management in an emerging industry. Supply Chain Manage. 5, 45–54 (2000)Kazaz, B., Webster, S.: The impact of yield-dependent trading costs on pricing and production planning under supply uncertainty. M&SOM Manuf. Serv. Oper. Manage. 13, 404–417 (2011)Van der Vorst, J.G.: Effective food supply chains: generating, modelling and evaluating supply chain scenarios (2000)Fuertes-Miquel, V.S., Cuenca, L., Boza, A., Guyon, C., Alemany, M.M.E.: Conceptual framework for the characterization of vegetable breton supply chain sustainability in an uncertain context. In: 12th International Conference on Industrial Engineering and Industrial Management, XXII Congreso de Ingeniería de Organización, Girona, Spain, 12–13 July 2018Kummu, M., de Moel, H., Porkka, M., Siebert, S., Varis, O., Ward, P.J.: Lost food, wasted resources: global food supply chain losses and their impacts on freshwater, cropland, and fertiliser use. Sci. Total Environ. 438, 477–489 (2012)Hoekstra, S., Romme, J.: Integral Logistic Structures: Developing Customer-Oriented Goods Flow. Industrial Press Inc., New York (1992)Borodin, V., Bourtembourg, J., Hnaien, F., Labadie, N.: Handling uncertainty in agricultural supply chain management: a state of the art. Eur. J. Oper. Res. 254, 348–359 (2016)Handayati, Y., Simatupang, T.M., Perdana, T.: Agri-food supply chain coordination: the state-of-the-art and recent developments. Logist. Res. 8, 1–15 (2015)Mintzberg, H.: The Structuring of Organisations. Prentice-Hall, Upper Saddle River (1979)Keuning, D.: Grondslagen Van Het Management. Stenfert Kroese, Houten (1995) (in Dutch)Esteso, A., Alemany, M.M.E., Ortiz, A.: Conceptual framework for designing agri-food supply chains under uncertainty by mathematical programming models. Int. J. Prod. Res. (2018)Backus, G.B.C., Eidman, V.R., Dijkhuizen, A.A.: Farm decision making under risk and uncertainty. Neth. J. Agr. Sci. 45, 307–328 (1997)Esteso, A., Alemany, M.M.E., Ortiz, A.: Conceptual framework for managing uncertainty in a collaborative agri-food supply chain context. In: IFIP Advances in Information and Communication Technology, vol. 506, pp. 715–724 (2017)Mundi, I., Alemany, M.M.E., Poler, R., Fuertes-Miquel, V.S.: Review of mathematical models for production planning under uncertainty due to lack of homogeneity: proposal of a conceptual model. Int. J. Prod. Res. (2019)Grillo, H., Alemany, M.M.E., Ortiz, A., De Baets, B.: Possibilistic compositions and state functions: application to the order promising process for perishables. Int. J. Prod. Res. (2019)Soto-Silva, W.E., Nadal-Roig, E., González-Araya, M.C., Pla-Aragones, L.M.: Operational research models applied to the fresh fruit supply chain. Eur. J. Oper. Res. 251, 345–355 (2016)Farahani, R.Z., Rezapour, S., Drezner, T., Fallah, S.: Competitive supply chain network design: an overview of classifications, models, solution techniques and applications. Omega 45, 92–118 (2014)Banasik, A., Bloemhof-Ruwaard, J.M., Kanellopoulos, A., Claassen, G.D.H., van der Vorst, J.G.: Multi-criteria decision making approaches for green supply chains: a review. Flex. Serv. Manuf. J. 1–31 (2016)Paam, P., Berretta, R., Heydar, M., Middleton, R.H., García-Flores, R., Juliano, P.: Planning models to optimize the agri-fresh food supply chain for loss minimization: a review. In: Reference Module in Food Science (2016)Soysal, M., Bloemhof-Ruwaard, J.M., Meuwissen, M.P., van der Vorst, J.G.: A review on quantitative models for sustainable food logistics management. Int. J. Food Syst. Dyn. 3, 136–155 (2012

Manufacturing and Supply Chain Flexibility: Building an Integrative Conceptual Model Through Systematic Literature Review and Bibliometric Analysis

The purpose of this study is twofold: first, to establish the current themes on the topic of manufacturing and supply chain flexibility (MSCF), assess their level of maturity in relation to each other, identify the emerging ones and reflect on how they can inform each other, and second, to develop a conceptual model of MSCF that links different themes connect and highlight future research opportunities. The study builds on a sample of 222 articles published from 1996 to 2018 in international, peer-reviewed journals. The analysis of the sample involves two complementary approaches: the co-word technique to identify the thematic clusters as well as their relative standing and a critical reflection on the papers to explain the intellectual content of these thematic clusters. The results of the co-word analysis show that MSCF is a dynamic topic with a rich and complex structure that comprises five thematic clusters. The value chain, capability and volatility clusters showed research topics that were taking a central role in the discussion on MSCF but were not mature yet. The SC purchasing practices and SC planning clusters involved work that was more focused and could be considered more mature. These clusters were then integrated in a framework that built on the competence–capability perspective and identified the major structural and infrastructural elements of MSCF as well as its antecedents and consequences. This paper proposes an integrative framework helping managers keep track the various decisions they need to make to increase flexibility from the viewpoint of the entire value chain

Current Methods for the Utilization of the Fresh Concrete Waste Returned to Batching Plants

World Multidisciplinary Civil Engineering-Architecture-Urban Planning Symposium, WMCAUS 2016 -- 13 June 2016 through 17 June 2016 -- -- 132600As the fresh concrete waste has a high potential to damage the environment, current methods for the utilization of the returned ready-mixed concrete were presented throughout this study. Toward this aim, an in-depth literature review was performed as a methodological approach. Thus, types of the returned concrete were first explained and the existing methods were then discussed one by one. Consequently, the current methods were determined as (i) matching with suitable customers, (ii) blending with next matches, (iii) discharging into the settling basin, (iv) discharging onto the ground, (v) producing pre-cast concrete components, (vi) recycling mechanically, (vii) using the hardened slurry cake in concrete, (viii) using the hardened slurry cake in partition wall blocks, (ix) using hydration stabilizer admixtures, and (x) using superabsorbent polymer. © 2016 The Authors.MAG-113M428The authors acknowledge the financial supports provided by Committees on Research Grants of Akdeniz University and Bulent Ecevit University. This study is based on a research project supported financially by TUBITAK under the grant number MAG-113M428