Alzheimer's disease-associated inflammatory pathways might contribute to osteoporosis through the interaction between PROK2 and CSF3
Open accessAbstract
This study aimed to explore the potential molecular pathways and targets of Alzheimer's disease leading to osteoporosis using bioinformatics tools. The Alzheimer's and osteoporosis microarray gene expression data were retrieved from the Gene Expression Omnibus, and differentially expressed genes in the blood microenvironment related to Alzheimer's disease and osteoporosis were identified. The intersection of the three datasets (GSE97760, GSE168813, and GSE62402) was used to obtain 21 co-expressed targets in the peripheral blood samples in patients with Alzheimer's disease and osteoporosis. Based on the degree algorithm, the top 10 potential core target genes related to these diseases were identified, which included CLEC4D, PROK2, SIGLEC7, PDGFB, PTCRA, ECH1, etc. Two differentially expressed mRNAs, Prokineticin 2 (PROK2) and three colony-stimulating factor 3 (CSF3), were screened in the GSE62402 dataset associated with osteoporosis. Protein–protein rigid docking with ZDOCK revealed that PROK2 and CSF3 could form a stable protein docking model. The interaction of PROK2 and CSF3, core genes related to osteoporosis inflammation, plays an important role in the mechanism of osteoporosis in patients with Alzheimer's. Therefore, abnormalities or alterations in the inflammatory pathways in the peripheral blood samples of Alzheimer's patients may affect the course of osteoporosis.
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CCL20, CSF3 and IL10 are associated with the inflammatory response in AD.
“CCL20 (55), CSF3 (56) and IL10 (57) are associated with the inflammatory response in AD.”
From Modeling late-onset Alzheimer’s disease neuropathology via direct neuronal reprogramming (2024) · cites this paper as [56]
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2 retracted
Xu, K., Wu, C., Wang, Z., Wang, H.-J., Yin, F.-J., Li, W.-D., Liu, C.-C., & Fan, H. (2021) · Computational and Mathematical Methods in Medicine · doi:10.1155/2021/3422393 · Cited by 21 · see citing works
RetractedHuang, H., Jiang, H., Liu, J., Chen, J., Qiu, L., Wang, J., Liu, W., & Chen, H. (2021) · BioMed Research International · doi:10.1155/2021/5655061 · Cited by 6 · see citing works
RetractedSubramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625 · see citing works
cytoHubba: identifying hub objects and sub-networks from complex interactome
Chin, C.-H., Chen, S., Wu, H.-H., Ho, C.-W., Ko, M., & Lin, C. (2014) · BMC Systems Biology · doi:10.1186/1752-0509-8-s4-s11 · Cited by 6,635 · see citing works
Molecular Dynamics Simulation for All
Hollingsworth, S. A., & Dror, R. O. (2018) · Neuron · doi:10.1016/j.neuron.2018.08.011 · Cited by 3,313 · see citing works
Sato, K., Suematsu, A., Okamoto, K., Yamaguchi, A., Morishita, Y., Kadono, Y., Tanaka, S., Kodama, T., Akira, S., Iwakura, Y., et al. (2006) · The Journal of Experimental Medicine · doi:10.1084/jem.20061775 · Cited by 1,554 · see citing works
Prevention and treatment of postmenopausal osteoporosis
Tella, S. H., & Gallagher, J. C. (2014) · The Journal of Steroid Biochemistry and Molecular Biology · doi:10.1016/j.jsbmb.2013.09.008 · Cited by 786 · see citing works
Andreu-Pérez, J., Poon, C. C. Y., Merrifield, R. D., Wong, S. T. C., & Yang, G. (2015) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2015.2450362 · Cited by 707 · see citing works
Vitamin D and the risk of dementia and Alzheimer disease
Littlejohns, T. J., Henley, W., Lang, I., Annweiler, C., Beauchet, O., Chaves, P. H. M., Fried, L. F., Kestenbaum, B. R., Kuller, L. H., Langa, K. M., et al. (2014) · Neurology · doi:10.1212/wnl.0000000000000755 · Cited by 573 · see citing works
Vitamin D, cognition, and dementia
Balion, C. M., Griffith, L. E., Strifler, L., Henderson, M., Patterson, C., Heckman, G. A., Llewellyn, D. J., & Raina, P. (2012) · Neurology · doi:10.1212/wnl.0b013e31826c197f · Cited by 431 · see citing works
Inhibition of Stat3‐mediated astrogliosis ameliorates pathology in an Alzheimer's disease model
Reichenbach, N., Delekate, A., Plescher, M., Schmitt, F., Krauss, S., Blank, N., Halle, A., & Petzold, G. C. (2019) · EMBO Molecular Medicine · doi:10.15252/emmm.201809665 · Cited by 343 · see citing works
Bringing Molecular Dynamics Simulation Data into View
Hildebrand, P. W., Rose, A., & Tiemann, J. K. S. (2019) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2019.06.004 · Cited by 303 · see citing works
Restoring Wnt/β-catenin signaling is a promising therapeutic strategy for Alzheimer’s disease
Jia, L., Piña-Crespo, J., & Li, Y. (2019) · Molecular Brain · doi:10.1186/s13041-019-0525-5 · Cited by 288 · see citing works
An overview of osteoporosis and frailty in the elderly
Li, G., Thabane, L., Παπαϊωάννου, Α., Ioannidis, G., Levine, M., & Adachi, J. D. (2017) · BMC Musculoskeletal Disorders · doi:10.1186/s12891-017-1403-x · Cited by 226 · see citing works
Hip fractures and Alzheimer's disease in elderly institutionalized Canadians
Weller, I., & Schatzker, J. (2003) · Annals of Epidemiology · doi:10.1016/j.annepidem.2003.08.005 · Cited by 143 · see citing works
Li, W., Zhang, S., Liu, J., Liu, Y., & Liang, Q. (2019) · Molecular Medicine Reports · doi:10.3892/mmr.2019.10040 · Cited by 128 · see citing works
Shen, L., & Ji, H. (2015) · Nutrition Journal · doi:10.1186/s12937-015-0063-7 · Cited by 126 · see citing works
Pharmacological treatment of osteoporosis in the oldest old
Vandenbroucke, A.-M., Luyten, F. P., Flamaing, J., & Gielen, E. (2017) · Clinical Interventions in Aging · doi:10.2147/cia.s131023 · Cited by 121 · see citing works
Chen, L., Yuan, L., Wang, Y., Wang, G., Zhu, Y., Cao, R., Qian, G., Xie, C., Liu, X., Xiao, Y., et al. (2017) · International Journal of Biological Sciences · doi:10.7150/ijbs.21657 · Cited by 118 · see citing works
Dong, S., Huang, F., Zhang, H., & Chen, Q. (2019) · Bioscience Reports · doi:10.1042/bsr20182306 · Cited by 105 · see citing works
The Interplay between Immune System and Microbiota in Osteoporosis
Locantore, P., Gatto, V. D., Gelli, S., Paragliola, R., & Pontecorvi, A. (2020) · Mediators of Inflammation · doi:10.1155/2020/3686749 · Cited by 105 · see citing works
The role of GPCRs in bone diseases and dysfunctions
Luo, J., Sun, P., Siwko, S. K., Liu, M., & Xiao, J. (2019) · Bone Research · doi:10.1038/s41413-019-0059-6 · Cited by 100 · see citing works
Negri, L., & Ferrara, N. (2018) · Physiological Reviews · doi:10.1152/physrev.00012.2017 · Cited by 94 · see citing works
Panaro, M. A., Corrado, A., Benameur, T., Cantatore, F. P., Cici, D., & Porro, C. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21072299 · Cited by 94 · see citing works
Effects of Neurological Disorders on Bone Health
Kelly, R. R., Sidles, S. J., & LaRue, A. C. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.612366 · Cited by 91 · see citing works
Differentially Expressed Genes in the Pre-Eclamptic Placenta: A Systematic Review and Meta-Analysis
Kleinrouweler, C. E., van Uitert, M., Moerland, P. D., Ris‐Stalpers, C., van der Post, J., & Afink, G. (2013) · PLoS ONE · doi:10.1371/journal.pone.0068991 · Cited by 82 · see citing works
Hongo, M., Miyakoshi, N., Shimada, Y., & Sinaki, M. (2011) · Osteoporosis International · doi:10.1007/s00198-011-1624-z · Cited by 78 · see citing works
Yoo, J. E., Shin, D. W., Han, K., Kim, D., Yoon, J. W., & Lee, D. (2021) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.30405 · Cited by 74 · see citing works
Choi, M., Kim, H.-J., Yang, E.-J., & Kim, H.-S. (2020) · Journal of Pharmacological Sciences · doi:10.1016/j.jphs.2020.05.009 · Cited by 69 · see citing works
Prokineticin 2 is an endangering mediator of cerebral ischemic injury
Cheng, M., Lee, A. G., Culbertson, C. J., Sun, G.-H., Talati, R. K., Manley, N. C., Li, X., Zhao, H., Lyons, D. M., Zhou, Q., et al. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1113363109 · Cited by 63 · see citing works
Chemokines in Alzheimer’s Disease: New Insights Into Prokineticins, Chemokine-Like Proteins
Zuena, A. R., Casolini, P., Lattanzi, R., & Maftei, D. (2019) · Frontiers in Pharmacology · doi:10.3389/fphar.2019.00622 · Cited by 60 · see citing works
The predictive role of monocyte-to-lymphocyte ratio in osteoporosis patient
Gao, K., Zhu, W., Liu, W., Ma, D., Li, H., Yu, W., Li, Q., & Cao, Y. (2019) · Medicine · doi:10.1097/md.0000000000016793 · Cited by 59 · see citing works
Signaling pathway STAT1 is strongly activated by IFN-β in the pathogenesis of osteoporosis
Seeliger, C., Schyschka, L., Kronbach, Z., Wottge, A., van Griensven, M., Wildemann, B., & Vester, H. (2015) · European journal of medical research · doi:10.1186/s40001-014-0074-4 · Cited by 50 · see citing works
Yeganegi, M., Leung, C. G., Martins, A. J., Kim, S. O., Reid, G., Challis, J. R. G., & Bocking, A. D. (2010) · Biology of Reproduction · doi:10.1095/biolreprod.110.085167 · Cited by 47 · see citing works
Mechanistic complexities of bone loss in Alzheimer’s disease: a review
Frame, G., Bretland, K. A., & Dengler-Crish, C. M. (2020) · Connective Tissue Research · doi:10.1080/03008207.2019.1624734 · Cited by 44 · see citing works
Zhang, H., Coblentz, C., Watanabe‐Smith, K., Means, S., Means, J., Maxson, J. E., & Tyner, J. W. (2018) · Journal of Biological Chemistry · doi:10.1074/jbc.ra118.002417 · Cited by 42 · see citing works
IL-4 controls activated neutrophil FcγR2b expression and migration into inflamed joints
Panda, S. K., Wigerblad, G., Jiang, L., Jiménez-Andrade, Y., Iyer, V. S., Shen, Y., Boddul, S. V., Guerreiro‐Cacais, A. O., Raposo, B., Kasza, Z., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1914186117 · Cited by 41 · see citing works
Wang, F., Li, C., Shao, J., & Ma, J. (2021) · Journal of Pharmacological Sciences · doi:10.1016/j.jphs.2021.02.004 · Cited by 41 · see citing works
Chen, Y., Sun, Y., Luo, Z., Chen, X., Wang, Y., Qi, B., Lin, J., Lin, W.-W., Sun, C., Zhou, Y., et al. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.881488 · Cited by 40 · see citing works
Bv8/prokineticin 2 is involved in Aβ-induced neurotoxicity
Severini, C., Lattanzi, R., Maftei, D., Marconi, V., Ciotti, M. T., Passeri, P. P., Florenzano, F., DUCA, E. D., Caioli, S., Zona, C., et al. (2015) · Scientific Reports · doi:10.1038/srep15301 · Cited by 40 · see citing works
Zhang, P.-F., Pan, L., Luo, Z.-Y., Zhao, H., & Cai, S. (2013) · COPD Journal of Chronic Obstructive Pulmonary Disease · doi:10.3109/15412555.2013.813928 · Cited by 36 · see citing works
Prokineticin 2 (PROK2) is an important factor for angiogenesis in colorectal cancer
Kurebayashi, H., Goi, T., Shimada, M., Tagai, N., Naruse, T., Nakazawa, T., Kimura, Y., Hirono, Y., & Yamaguchi, A. (2015) · Oncotarget · doi:10.18632/oncotarget.4385 · Cited by 35 · see citing works
Snellman, G., Byberg, L., Lemming, E. W., Melhus, H., Gedeborg, R., Mallmin, H., Wolk, A., & Michaëlsson, K. (2013) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2013-1738 · Cited by 28 · see citing works
Targeting the Prokineticin System to Control Chronic Pain and Inflammation
Negri, L., & Maftei, D. (2018) · Current Medicinal Chemistry · doi:10.2174/0929867324666170713102514 · Cited by 26 · see citing works
Caioli, S., Severini, C., Ciotti, T., Florenzano, F., Pimpinella, D., Passeri, P. P., Balboni, G., Polisca, P., Lattanzi, R., Nisticò, R., et al. (2016) · Neuropharmacology · doi:10.1016/j.neuropharm.2016.12.012 · Cited by 24 · see citing works
Maftei, D., Ratano, P., Fusco, I., Marconi, V., Squillace, S., Negri, L., Severini, C., Balboni, G., Steardo, L., Bronzuoli, M. R., et al. (2019) · Neuropharmacology · doi:10.1016/j.neuropharm.2019.107739 · Cited by 22 · see citing works
Wei, Q., Chen, Z., Tan, X., Su, H., Chen, X., He, W., & Deng, W. (2015) · Orthopaedic Surgery · doi:10.1111/os.12206 · Cited by 20 · see citing works
Chen, Y., Luo, Z., Lin, J., Qi, B., Sun, Y., Li, F., Guo, C., Lin, W., Kang, X., He, X., et al. (2022) · Disease Markers · doi:10.1155/2022/9082576 · Cited by 20 · see citing works
Lu, L., Kang, X., Yi, B., Jiang, C., Yan, X., Chen, B., Sun, Y., Shi, F., Luo, Y., Chen, Y., et al. (2022) · Disease Markers · doi:10.1155/2022/4416637 · Cited by 18 · see citing works
Identification and Characterization of a New Splicing Variant of Prokineticin 2
Lattanzi, R., Maftei, D., Vincenzi, M., Fullone, M. R., & Miele, R. (2022) · Life · doi:10.3390/life12020248 · Cited by 14 · see citing works
Feng, X., Ding, Y., Zhou, M., Song, N., & Ding, Y. (2022) · Disease Markers · doi:10.1155/2022/2843353 · Cited by 14 · see citing works
Variability of in vivo linear microcrack accumulation in the cortex of elderly human ribs
Agnew, A. M., Dominguez, V. M., Sciulli, P. W., & Stout, S. D. (2017) · Bone Reports · doi:10.1016/j.bonr.2017.02.004 · Cited by 13 · see citing works
Zinni, M., Zuena, A. R., Marconi, V., Petrella, C., Fusco, I., Giuli, C., Canu, N., Severini, C., Broccardo, M., Théodorou, V., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0173484 · Cited by 11 · see citing works
Differentially expressed genes in human peripheral blood as potential markers for statin response
Won, H., Kim, S. R., Bang, O. Y., Lee, S., Huh, W., Ko, J., Kim, H., McLeod, H. L., O’Connell, T. M., Kim, J., et al. (2011) · Journal of Molecular Medicine · doi:10.1007/s00109-011-0818-3 · Cited by 7 · see citing works
Wu, L., Su, C., Yang, C.-H., Liu, J., & Ye, Y. (2022) · PeerJ · doi:10.7717/peerj.13722 · Cited by 6 · see citing works
Celiac disease and bone health: is there a gap in the management of postmenopausal osteoporosis?
Stuckey, B. G. A., Mahoney, L. A., Dragovic, S., & Brown, S. J. (2020) · Climacteric · doi:10.1080/13697137.2020.1816957 · Cited by 5 · see citing works
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Sun, Z., Kwon, J.-S., Ren, Y., Chen, S., Walker, C. K., Lu, X., Cates, K., Karahan, H., Sviben, S., Fitzpatrick, J. A. J., et al. (2024) · Science · doi:10.1126/science.adl2992 · Cited by 77 · see citing works
“CCL20 (55), CSF3 (56) and IL10 (57) are associated with the inflammatory response in AD.”
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Zhang, F., & Zhang, W. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102341 · Cited by 62 · see citing works
Self-citationZhao, Y., Wang, J., Xu, L., Xu, H., Yan, Y., Zhao, H., & Yan, Y. (2025) · Biomedicines · doi:10.3390/biomedicines13061443 · Cited by 30 · see citing works
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Vincenzi, M., Kremić, A., Jouve, A., Lattanzi, R., Miele, R., Benharouga, M., Alfaidy, N., Migrenne, S., Kanthasamy, A. G., Porcionatto, M. A., et al. (2023) · Pharmacological Reviews · doi:10.1124/pharmrev.122.000801 · Cited by 20 · see citing works
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Gharpure, M., Vyavahare, S. S., Ahluwalia, P. K., Gupta, S. K., Lee, T. J., Lohakare, J., Kolhe, R. B., Lei, Y., Deák, F., Lu, X., et al. (2024) · Neurobiology of Disease · doi:10.1016/j.nbd.2024.106404 · Cited by 14 · see citing works
Wang, H., Li, J., Tu, W., Wang, Z., Zhang, Y., Chang, L., Wu, Y., & Zhang, X. (2024) · Journal of Alzheimer s Disease · doi:10.3233/jad-240301 · Cited by 13 · see citing works
Self-citationGuo, W., Gou, X., Yu, L., Zhang, Q., Yang, P., Pang, M., Pang, X., Pang, C., Wei, Y., & Zhang, X. (2023) · Frontiers in Neurology · doi:10.3389/fneur.2023.1129470 · Cited by 10 · see citing works
Vastrad, B. M., Pattanashetti, S., & Vastrad, C. M. (2025) · Research Square · doi:10.21203/rs.3.rs-7522725/v1 · Cited by 4 · see citing works
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- Authors
- Zhang, W., Zhang, Y., Hu, N., & Wang, A.
- Affiliations
- Qingdao University (CN)
- Shandong First Medical University (CN)
- Corresponding author
- Wang, Anying
- ORCID
- Zhang, Wenzheng
- Venue
- Frontiers in Neurology
- Publisher
- Frontiers Media SA
- Published
- 2022-09-20
- Volume
- 13
- Pages
- 990779-990779
- ISSN
- 1664-2295 (ISSN-L)
- PMC
- PMC9531648
- OpenAlex
- W4297906745
- Cited by
- 12
- References
- 56
- Citations by year
- 2025: 3 · 2024: 6 · 2023: 3
- FWCI
- 0.98
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Neurology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bone Metabolism and Diseases
- Health Sciences › Medicine › Orthopedics and Sports Medicine › Bone health and osteoporosis research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- Alzheimer's disease, osteoporosis, prokineticin 2, granulocyte colony-stimulating factor, inflammatory signaling, peripheral blood gene expression, co-expressed genes, protein-protein docking, CLEC4D, PDGF-B
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