The Interplay between Structural Inequality, Allostatic Load, Inflammation, and Cancer in Black Americans: A Narrative Review
Abstract
:Simple Summary
Abstract
1. Introduction
2. Biological Mechanisms Linking Inflammation and Carcinogenesis
3. Stress, Discrimination, Inflammation, and Disease
4. Strategies to Reduce Inflammation and Improve Health Outcomes
4.1. Stress Reduction Interventions
4.2. Improved Physical Activity
4.3. Adherence to Anti-Inflammatory Diets
5. Impact of Structural Inequality on Cancer Prevention Strategies
6. Conclusions and Future Directions
Author Contributions
Funding
Conflicts of Interest
References
- Lawrence, W.R.; McGee-Avila, J.K.; Vo, J.B.; Luo, Q.; Chen, Y.; Inoue-Choi, M.; Berrington de Gonzalez, A.; Freedman, N.D.; Shiels, M.S. Trends in Cancer Mortality Among Black Individuals in the US From 1999 to 2019. JAMA Oncol. 2022, 8, 1184–1189. [Google Scholar] [CrossRef] [PubMed]
- Esdaille, A.R.; Ibilibor, C.; Holmes, A., 2nd; Palmer, N.R.; Murphy, A.B. Access and Representation: A Narrative Review of the Disparities in Access to Clinical Trials and Precision Oncology in Black men with Prostate Cancer. Urology 2022, 163, 90–98. [Google Scholar] [CrossRef] [PubMed]
- Robinette, J.W.; Charles, S.T.; Gruenewald, T.L. Neighborhood Socioeconomic Status and Health: A Longitudinal Analysis. J. Community Health 2017, 42, 865–871. [Google Scholar] [CrossRef] [PubMed]
- Diez Roux, A.V.; Mair, C. Neighborhoods and health. Ann. N. Y. Acad. Sci. 2010, 1186, 125–145. [Google Scholar] [CrossRef] [PubMed]
- Fuemmeler, B.F.; Shen, J.; Zhao, H.; Winn, R. Neighborhood deprivation, racial segregation and associations with cancer risk and outcomes across the cancer-control continuum. Mol. Psychiatry 2023, 28, 1494–1501. [Google Scholar] [CrossRef]
- Hu, J.; Bartels, C.M.; Rovin, R.A.; Lamb, L.E.; Kind, A.J.H.; Nerenz, D.R. Race, Ethnicity, Neighborhood Characteristics, and In-Hospital Coronavirus Disease-2019 Mortality. Med. Care 2021, 59, 888–892. [Google Scholar] [CrossRef]
- Motairek, I.; Chen, Z.; Makhlouf, M.H.E.; Rajagopalan, S.; Al-Kindi, S. Historical Neighborhood Redlining and Contemporary Environmental Racism. Local Environ. 2023, 28, 518–528. [Google Scholar] [CrossRef]
- Hallum, S.H.; Hughey, S.M.; Wende, M.E.; Stowe, E.W.; Kaczynski, A.T. Healthy and unhealthy food environments are linked with neighbourhood socio-economic disadvantage: An innovative geospatial approach to understanding food access inequities. Public Health Nutr. 2020, 23, 3190–3196. [Google Scholar] [CrossRef]
- Zhang, M.; Debarchana, G. Spatial Supermarket Redlining and Neighborhood Vulnerability: A Case Study of Hartford, Connecticut. Trans. GIS 2016, 20, 79–100. [Google Scholar] [CrossRef]
- Swope, C.B.; Hernández, D.; Cushing, L.J. The Relationship of Historical Redlining with Present-Day Neighborhood Environmental and Health Outcomes: A Scoping Review and Conceptual Model. J. Urban Health 2022, 99, 959–983. [Google Scholar] [CrossRef]
- Loehrer, A.P.; Weiss, J.E.; Chatoorgoon, K.K.; Bello, O.T.; Diaz, A.; Carter, B.; Akre, E.-R.; Hasson, R.M.; Carlos, H.A. Residential Redlining, Neighborhood Trajectory, and Equity of Breast and Colorectal Cancer Care. Ann. Surg. 2024, 279, 1054–1061. [Google Scholar] [CrossRef]
- Collin, L.J.; Gaglioti, A.H.; Beyer, K.M.; Zhou, Y.; Moore, M.A.; Nash, R.; Switchenko, J.M.; Miller-Kleinhenz, J.M.; Ward, K.C.; McCullough, L.E. Neighborhood-Level Redlining and Lending Bias Are Associated with Breast Cancer Mortality in a Large and Diverse Metropolitan Area. Cancer Epidemiol. Biomarkers Prev. 2021, 30, 53–60. [Google Scholar] [CrossRef] [PubMed]
- Krieger, N.; Wright, E.; Chen, J.T.; Waterman, P.D.; Huntley, E.R.; Arcaya, M. Cancer Stage at Diagnosis, Historical Redlining, and Current Neighborhood Characteristics: Breast, Cervical, Lung, and Colore ctal Cancers, Massachusetts, 2001–2015. Am. J. Epidemiol. 2020, 189, 1065–1075. [Google Scholar] [CrossRef]
- Cheng, E.; Soulos, P.R.; Irwin, M.L.; Cespedes Feliciano, E.M.; Presley, C.J.; Fuchs, C.S.; Meyerhardt, J.A.; Gross, C.P. Neighborhood and Individual Socioeconomic Disadvantage and Survival Among Patients With Nonmetastatic Common Cancers. JAMA Netw. Open 2021, 4, e2139593. [Google Scholar] [CrossRef]
- Denk, D.; Greten, F.R. Inflammation: The incubator of the tumor microenvironment. Trends Cancer 2022, 8, 901–914. [Google Scholar] [CrossRef]
- Greten, F.R.; Grivennikov, S.I. Inflammation and Cancer: Triggers, Mechanisms, and Consequences. Immunity 2019, 51, 27–41. [Google Scholar] [CrossRef] [PubMed]
- Landskron, G.; De la Fuente, M.; Thuwajit, P.; Thuwajit, C.; Hermoso, M.A. Chronic inflammation and cytokines in the tumor microenvironment. J. Immunol. Res. 2014, 2014, 149185. [Google Scholar] [CrossRef]
- Yang, Y.; Li, J.; Lei, W.; Wang, H.; Ni, Y.; Liu, Y.; Yan, H.; Tian, Y.; Wang, Z.; Yang, Z.; et al. CXCL12-CXCR4/CXCR7 Axis in Cancer: From Mechanisms to Clinical Applications. Int. J. Biol. Sci. 2023, 19, 3341–3359. [Google Scholar] [CrossRef] [PubMed]
- Oshi, M.; Newman, S.; Tokumaru, Y.; Yan, L.; Matsuyama, R.; Endo, I.; Takabe, K. Inflammation Is Associated with Worse Outcome in the Whole Cohort but with Better Outcome in Triple-Negative Subtype of Breast Cancer Patients. J. Immunol. Res. 2020, 2020, 5618786. [Google Scholar] [CrossRef]
- Whiteside, T.L. The tumor microenvironment and its role in promoting tumor growth. Oncogene 2008, 27, 5904–5912. [Google Scholar] [CrossRef]
- Colotta, F.; Allavena, P.; Sica, A.; Garlanda, C.; Mantovani, A. Cancer-related inflammation, the seventh hallmark of cancer: Links to genetic instability. Carcinogenesis 2009, 30, 1073–1081. [Google Scholar] [CrossRef] [PubMed]
- Atsumi, T.; Singh, R.; Sabharwal, L.; Bando, H.; Meng, J.; Arima, Y.; Yamada, M.; Harada, M.; Jiang, J.J.; Kamimura, D.; et al. Inflammation amplifier, a new paradigm in cancer biology. Cancer Res. 2014, 74, 8–14. [Google Scholar] [CrossRef] [PubMed]
- Wen, Y.; Zhu, Y.; Zhang, C.; Yang, X.; Gao, Y.; Li, M.; Yang, H.; Liu, T.; Tang, H. Chronic inflammation, cancer development and immunotherapy. Front. Pharmacol. 2022, 13, 1040163. [Google Scholar] [CrossRef]
- Taniguchi, K.; Karin, M. NF-κB, inflammation, immunity and cancer: Coming of age. Nat Rev Immunol. 2018, 18, 309–324. [Google Scholar] [CrossRef]
- Klintrup, K.; Mäkinen, J.M.; Kauppila, S.; Väre, P.O.; Melkko, J.; Tuominen, H.; Tuppurainen, K.; Makela, J.; Karttunen, T.J.; Makinen, M.J. Inflammation and prognosis in colorectal cancer. Eur. J. Cancer 2005, 41, 2645–2654. [Google Scholar] [CrossRef]
- Joshi, N.S.; Akama-Garren, E.H.; Lu, Y.; Lee, D.Y.; Chang, G.P.; Li, A.; DuPage, M.; Tammela, T.; Kerper, N.R.; Farago, A.F.; et al. Regulatory T Cells in Tumor-Associated Tertiary Lymphoid Structures Suppress Anti-tumor T Cell Responses. Immunity 2015, 43, 579–590. [Google Scholar] [CrossRef]
- Negura, I.; Pavel-Tanasa, M.; Danciu, M. Regulatory T cells in gastric cancer: Key controllers from pathogenesis to therapy. Cancer Treat. Rev. 2023, 120, 102629. [Google Scholar] [CrossRef] [PubMed]
- Mantovani, A.; Cassatella, M.A.; Costantini, C.; Jaillon, S. Neutrophils in the activation and regulation of innate and adaptive immunity. Nat. Rev. Immunol. 2011, 11, 519–531. [Google Scholar] [CrossRef] [PubMed]
- Hanahan, D.; Coussens, L.M. Accessories to the crime: Functions of cells recruited to the tumor microenvironment. Cancer Cell 2012, 21, 309–322. [Google Scholar] [CrossRef]
- Stark, T.; Livas, L.; Kyprianou, N. Inflammation in prostate cancer progression and therapeutic targeting. Transl. Androl. Urol. 2015, 4, 455–463. [Google Scholar]
- Barron, D.A.; Rowley, D.R. The reactive stroma microenvironment and prostate cancer progression. Endocr. Relat. Cancer 2012, 19, R187–R204. [Google Scholar] [CrossRef]
- Iyengar, N.M.; Gucalp, A.; Dannenberg, A.J.; Hudis, C.A. Obesity and Cancer Mechanisms: Tumor Microenvironment and Inflammation. J. Clin. Oncol. 2016, 34, 4270–4276. [Google Scholar] [CrossRef]
- Tong, Y.; Gao, H.; Qi, Q.; Liu, X.; Li, J.; Gao, J.; Li, P.; Wang, Y.; Du, L.; Wang, C. High fat diet, gut microbiome and gastrointestinal cancer. Theranostics 2021, 11, 5889–5910. [Google Scholar] [CrossRef] [PubMed]
- Hayashi, T.; Fujita, K.; Nojima, S.; Hayashi, Y.; Nakano, K.; Ishizuya, Y.; Wang, C.; Yamamoto, Y.; Kinouchi, T.; Matsuzaki, K.; et al. High-Fat Diet-Induced Inflammation Accelerates Prostate Cancer Growth via IL6 Signaling. Clin. Cancer Res. 2018, 24, 4309–4318. [Google Scholar] [CrossRef]
- Shen, J.; Fuemmeler, B.F.; Guan, Y.; Zhao, H. Association of Allostatic Load and All Cancer Risk in the SWAN Cohort. Cancers 2022, 14, 3044. [Google Scholar] [CrossRef] [PubMed]
- McEwen, B.S.; Stellar, E. Stress and the individual. Mechanisms leading to disease. Arch. Intern. Med. 1993, 153, 2093–2101. [Google Scholar] [CrossRef] [PubMed]
- Ravi, M.; Miller, A.H.; Michopoulos, V. The Immunology of Stress and the Impact of Inflammation on the Brain and Behavior. BJPsych Adv. 2021, 27 (Suppl. 3), 158–165. [Google Scholar] [CrossRef]
- Buckwalter, J.G.; Castellani, B.; McEwen, B.; Karlamangla, A.S.; Rizzo, A.A.; John, B.; O’Donnell, K.; Seeman, T. Allostatic Load as a Complex Clinical Construct: A Case-Based Computational Modeling Approach. Complexity 2016, 21 (Suppl. 1), 291–306. [Google Scholar] [CrossRef]
- Wiley, J.F.; Gruenewald, T.L.; Karlamangla, A.S.; Seeman, T.E. Modeling Multisystem Physiological Dysregulation. Psychosom. Med. 2016, 78, 290–301. [Google Scholar] [CrossRef]
- Gillespie, S.L.; Anderson, C.M.; Zhao, S.; Tan, Y.; Kline, D.; Brock, G.; Odei, J.; O’Brien, E.; Sims, M.; Lazarus, S.A.; et al. Allostatic load in the association of depressive symptoms with incident coronary heart disease: The Jackson Heart Study. Psychoneuroendocrinology 2019, 109, 104369. [Google Scholar] [CrossRef]
- Sabbah, W.; Watt, R.G.; Sheiham, A.; Tsakos, G. Effects of allostatic load on the social gradient in ischaemic heart disease and periodontal disease: Evidence from the Third National Health and Nutrition Examination Survey. J. Epidemiol. Community Health 2008, 62, 415–420. [Google Scholar] [CrossRef] [PubMed]
- Kobrosly, R.W.; van Wijngaarden, E.; Seplaki, C.L.; Cory-Slechta, D.A.; Moynihan, J. Depressive symptoms are associated with allostatic load among community-dwelling older adults. Physiol. Behav. 2014, 123, 223–230. [Google Scholar] [CrossRef]
- Guan, Y.; Shen, J.; Lu, J.; Fuemmeler, B.F.; Shock, L.S.; Zhao, H. Association between allostatic load and breast cancer risk: A cohort study. Breast Cancer Res. 2023, 25, 155. [Google Scholar] [CrossRef]
- Obeng-Gyasi, S.; Elsaid, M.I.; Lu, Y.; Chen, J.C.; Carson, W.E.; Ballinger, T.J.; Andersen, B.L. Association of Allostatic Load With All-Cause Mortality in Patients With Breast Cancer. JAMA Netw. Open 2023, 6, e2313989. [Google Scholar] [CrossRef]
- Tavares, C.D.; Bell, C.N.; Zare, H.; Hudson, D.; Thorpe, R.J., Jr. Allostatic Load, Income, and Race Among Black and White Men in the United States. Am. J. Mens Health 2022, 16, 15579883221092290. [Google Scholar] [CrossRef] [PubMed]
- Thomas Tobin, C.S.; Hargrove, T.W. Race, Lifetime SES, and Allostatic Load Among Older Adults. J. Gerontol. A Biol. Sci. Med. Sci. 2022, 77, 347–356. [Google Scholar] [CrossRef] [PubMed]
- Richardson, L.J.; Goodwin, A.N.; Hummer, R.A. Social status differences in allostatic load among young adults in the United States. SSM Popul. Health 2021, 15, 100771. [Google Scholar] [CrossRef]
- Black/African American Health. 2021. Available online: https://minorityhealth.hhs.gov/blackafrican-american-health#:~:text=Overview%20(Demographics),following%20the%20Hispanic%2FLatino%20population (accessed on 1 August 2024).
- Krymkowski, D.H.; Manning, R.E.; Valliere, W.A. Race, ethnicity, and visitation to national parks in the United States: Tests of the marginality, discrimination, and subculture hypotheses with national-level survey data. J. Outdoor Recreat. Tour. 2014, 7–8, 35–43. [Google Scholar] [CrossRef]
- White, P.M.; Itzkowitz, S.H. Barriers Driving Racial Disparities in Colorectal Cancer Screening in African Americans. Curr. Gastroenterol. Rep. 2020, 22, 41. [Google Scholar] [CrossRef]
- Parker, J.D.; McDonough, M.H. Environmentalism of African Americans: An Analysis of the Subculture and Barriers Theories. Environ. Behav. 1999, 31, 155–177. [Google Scholar] [CrossRef]
- Cuevas, A.G.; Reitzel, L.R.; Adams, C.E.; Cao, Y.; Nguyen, N.; Wetter, D.W.; Watkins, K.L.; Regan, S.D.; McNeill, L.H. Discrimination, affect, and cancer risk factors among African Americans. Am. J. Health Behav. 2014, 38, 31–41. [Google Scholar] [CrossRef]
- Williams, D.R.; Mohammed, S.A. Racism and Health I: Pathways and Scientific Evidence. Am. Behav. Sci. 2013, 57, 1152–1173. [Google Scholar] [CrossRef] [PubMed]
- Doyle, D.M.; Molix, L. Perceived discrimination as a stressor for close relationships: Identifying psychological and physiological pathways. J. Behav. Med. 2014, 37, 1134–1144. [Google Scholar] [CrossRef]
- Van Dyke, M.E.; Vaccarino, V.; Dunbar, S.B.; Pemu, P.; Gibbons, G.H.; Quyyumi, A.A.; Lewis, T.T. Socioeconomic status discrimination and C-reactive protein in African-American and White adults. Psychoneuroendocrinology 2017, 82, 9–16. [Google Scholar] [CrossRef]
- Lewis, T.T.; Aiello, A.E.; Leurgans, S.; Kelly, J.; Barnes, L.L. Self-reported experiences of everyday discrimination are associated with elevated C-reactive protein levels in older African-American adults. Brain Behav. Immun. 2010, 24, 438–443. [Google Scholar] [CrossRef]
- Ong, A.D.; Williams, D.R.; Nwizu, U.; Gruenewald, T.L. Everyday unfair treatment and multisystem biological dysregulation in African American adults. Cult. Divers. Ethn. Minor. Psychol. 2017, 23, 27–35. [Google Scholar] [CrossRef] [PubMed]
- Stepanikova, I.; Bateman, L.B.; Oates, G.R. Systemic Inflammation in Midlife: Race, Socioeconomic Status, and Perceived Discrimination. Am. J. Prev. Med. 2017, 52, S63–S76. [Google Scholar] [CrossRef] [PubMed]
- Boen, C. Death by a Thousand Cuts: Stress Exposure and Black-White Disparities in Physiological Functioning in Late Life. J. Gerontol. B Psychol. Sci. Soc. Sci. 2020, 75, 1937–1950. [Google Scholar] [CrossRef]
- Cuevas, A.G.; Ong, A.D.; Carvalho, K.; Ho, T.; Chan, S.W.C.; Allen, J.D.; Chen, R.; Rodgers, J.; Biba, U.; Williams, D.R. Discrimination and systemic inflammation: A critical review and synthesis. Brain Behav. Immun. 2020, 89, 465–479. [Google Scholar] [CrossRef]
- Antoni, M.H.; Dhabhar, F.S. The impact of psychosocial stress and stress management on immune responses in patients with cancer. Cancer 2019, 125, 1417–1431. [Google Scholar] [CrossRef]
- Dhabhar, F.S.; Saul, A.N.; Holmes, T.H.; Daugherty, C.; Neri, E.; Tillie, J.M.; Kusewitt, D.; Oberyszyn, T.M. High-anxious individuals show increased chronic stress burden, decreased protective immunity, and increased cancer progression in a mouse model of squamous cell carcinoma. PLoS ONE 2012, 7, e33069. [Google Scholar] [CrossRef] [PubMed]
- Saul, A.N.; Oberyszyn, T.M.; Daugherty, C.; Kusewitt, D.; Jones, S.; Jewell, S.; Malarkey, W.B.; Lehman, A.; Lemeshow, S.; Dhabha, F.S. Chronic stress and susceptibility to skin cancer. J. Natl. Cancer Inst. 2005, 97, 1760–1767. [Google Scholar] [CrossRef]
- Boyle, J.; Yau, J.; Slade, J.L.; Butts, D.A.; Zhang, Y.; Legesse, T.B.; Cellini, A.; Clark, K.; Park, J.Y.; Wimbush, J.; et al. Neighborhood Disadvantage and Prostate Tumor RNA Expression of Stress-Related Genes. JAMA Netw. Open 2024, 7, e2421903. [Google Scholar] [CrossRef] [PubMed]
- Carlson, L.E.; Speca, M.; Patel, K.D.; Goodey, E. Mindfulness-based stress reduction in relation to quality of life, mood, symptoms of stress, and immune parameters in breast and prostate cancer outpatients. Psychosom. Med. 2003, 65, 571–581. [Google Scholar] [CrossRef] [PubMed]
- Destri, G.L.; Sapienza, S.; Rodolico, M.; Di Cataldo, A.; Puleo, S.; Minutolo, V.; Aguglia, E.; Licata, A. Stress of routine follow-up in colorectal cancer operated patients. Chir Ital 2000, 52, 695–698. [Google Scholar]
- Gabriel, G.S.; Lah, M.; Barton, M.; Au, G.; Delaney, G.; Jalaludin, B. Do cancer follow-up consultations create anxiety? J. Psychosoc. Oncol. 2008, 26, 17–30. [Google Scholar] [CrossRef]
- Janelsins, M.C.; Davis, P.G.; Wideman, L.; Katula, J.A.; Sprod, L.K.; Peppone, L.J.; Palesh, O.G.; Heckler, C.E.; Williams, J.P.; Morrow, G.R.; et al. Effects of Tai Chi Chuan on insulin and cytokine levels in a randomized controlled pilot study on breast cancer survivors. Clin. Breast Cancer 2011, 11, 161–170. [Google Scholar] [CrossRef]
- Chandwani, K.D.; Ryan, J.L.; Peppone, L.J.; Janelsins, M.M.; Sprod, L.K.; Devine, K.; Trevino, L.; Gewandter, J.; Morrow, G.R.; Mustian, K.M. Cancer-related stress and complementary and alternative medicine: A review. Evid. Based Complement. Alternat. Med. 2012, 2012, 979213. [Google Scholar] [CrossRef]
- Mustian, K.; Katula, J.; Williams, J.; Moynihan, J.; Morrow, G. Tai Chi Chuan (TCC), immune function (IF) and cardiorespiratory fitness (CF) among breast cancer survivors (Abstract 2360 in annual meeting supplement). Ann. Behav. Med. 2007, 33 (Suppl. 1), S095. [Google Scholar] [CrossRef]
- Beavers, K.M.; Brinkley, T.E.; Nicklas, B.J. Effect of exercise training on chronic inflammation. Clin. Chim. Acta 2010, 411, 785–793. [Google Scholar] [CrossRef]
- Nicklas, B.J.; You, T.; Pahor, M. Behavioural treatments for chronic systemic inflammation: Effects of dietary weight loss and exercise training. CMAJ 2005, 172, 1199–1209. [Google Scholar] [CrossRef]
- Wannamethee, S.G.; Lowe, G.D.; Whincup, P.H.; Rumley, A.; Walker, M.; Lennon, L. Physical activity and hemostatic and inflammatory variables in elderly men. Circulation 2002, 105, 1785–1790. [Google Scholar] [CrossRef]
- King, D.E.; Carek, P.; Mainous, A.G., 3rd; Pearson, W.S. Inflammatory markers and exercise: Differences related to exercise type. Med. Sci. Sports Exerc. 2003, 35, 575–581. [Google Scholar] [CrossRef] [PubMed]
- Abramson, J.L.; Vaccarino, V. Relationship between physical activity and inflammation among apparently healthy middle-aged and older US adults. Arch. Intern. Med. 2002, 162, 1286–1292. [Google Scholar] [CrossRef] [PubMed]
- Geffken, D.F.; Cushman, M.; Burke, G.L.; Polak, J.F.; Sakkinen, P.A.; Tracy, R.P. Association between physical activity and markers of inflammation in a healthy elderly population. Am. J. Epidemiol. 2001, 153, 242–250. [Google Scholar] [CrossRef] [PubMed]
- Pischon, T.; Hankinson, S.E.; Hotamisligil, G.S.; Rifai, N.; Rimm, E.B. Leisure-time physical activity and reduced plasma levels of obesity-related inflammatory markers. Obes. Res. 2003, 11, 1055–1064. [Google Scholar] [CrossRef]
- Taaffe, D.R.; Harris, T.B.; Ferrucci, L.; Rowe, J.; Seeman, T.E. Cross-sectional and prospective relationships of interleukin-6 and C-reactive protein with physical performance in elderly persons: MacArthur studies of successful aging. J. Gerontol. A Biol. Sci. Med. Sci. 2000, 55, M709–M715. [Google Scholar] [CrossRef]
- Majka, D.S.; Chang, R.W.; Vu, T.H.; Palmas, W.; Geffken, D.F.; Ouyang, P.; Ni, H.; Liu, K. Physical activity and high-sensitivity C-reactive protein: The multi-ethnic study of atherosclerosis. Am. J. Prev. Med. 2009, 36, 56–62. [Google Scholar] [CrossRef]
- Elosua, R.; Bartali, B.; Ordovas, J.M.; Corsi, A.M.; Lauretani, F.; Ferrucci, L. Association between physical activity, physical performance, and inflammatory biomarkers in an elderly population: The InCHIANTI study. J. Gerontol. A Biol. Sci. Med. Sci. 2005, 60, 760–767. [Google Scholar] [CrossRef]
- Colbert, L.H.; Visser, M.; Simonsick, E.M.; Tracy, R.P.; Newman, A.B.; Kritchevsky, S.B.; Pahor, M.; Taaffe, D.R.; Brach, J.; Rubin, S.; et al. Physical activity, exercise, and inflammatory markers in older adults: Findings from the Health, Aging and Body Composition Study. J. Am. Geriatr. Soc. 2004, 52, 1098–1104. [Google Scholar] [CrossRef]
- Reuben, D.B.; Judd-Hamilton, L.; Harris, T.B.; Seeman, T.E. The associations between physical activity and inflammatory markers in high-functioning older persons: MacArthur Studies of Successful Aging. J. Am. Geriatr. Soc. 2003, 51, 1125–1130. [Google Scholar] [CrossRef]
- Pitsavos, C.; Panagiotakos, D.B.; Chrysohoou, C.; Kavouras, S.; Stefanadis, C. The associations between physical activity, inflammation, and coagulation markers, in people with metabolic syndrome: The ATTICA study. Eur. J. Cardiovasc. Prev. Rehabil. 2005, 12, 151–158. [Google Scholar] [CrossRef] [PubMed]
- Zelante, T.; Iannitti, R.G.; Cunha, C.; De Luca, A.; Giovannini, G.; Pieraccini, G.; Zecchi, R.; D’Angelo, C.; Massi-Benedetti, C.; Fallarino, F.; et al. Tryptophan catabolites from microbiota engage aryl hydrocarbon receptor and balance mucosal reactivity via interleukin-22. Immunity 2013, 39, 372–385. [Google Scholar] [CrossRef] [PubMed]
- Wu, R.Y.; Määttänen, P.; Napper, S.; Scruten, E.; Li, B.; Koike, Y.; Johnson-Henry, K.C.; Pierro, A.; Rossi, L.; Botts, S.R.; et al. Non-digestible oligosaccharides directly regulate host kinome to modulate host inflammatory responses without alterations in the gut microbiota. Microbiome 2017, 5, 135. [Google Scholar] [CrossRef]
- Statovci, D.; Aguilera, M.; MacSharry, J.; Melgar, S. The Impact of Western Diet and Nutrients on the Microbiota and Immune Response at Mucosal Interfaces. Front. Immunol. 2017, 8, 838. [Google Scholar] [CrossRef] [PubMed]
- Shen, W.; Gaskins, H.R.; McIntosh, M.K. Influence of dietary fat on intestinal microbes, inflammation, barrier function and metabolic outcomes. J. Nutr. Biochem. 2014, 25, 270–280. [Google Scholar] [CrossRef] [PubMed]
- Racine, A.; Carbonnel, F.; Chan, S.S.; Hart, A.R.; Bueno-de-Mesquita, H.B.; Oldenburg, B.; van Shaik, F.D.; Tjonneland, A.; Olson, A.; Dahm, C.C.; et al. Dietary Patterns and Risk of Inflammatory Bowel Disease in Europe: Results from the EPIC Study. Inflamm. Bowel Dis. 2016, 22, 345–354. [Google Scholar] [CrossRef] [PubMed]
- Puccetti, P.; Grohmann, U. IDO and regulatory T cells: A role for reverse signalling and non-canonical NF-kappaB activation. Nat. Rev. Immunol. 2007, 7, 817–823. [Google Scholar] [CrossRef] [PubMed]
- Koh, A.; De Vadder, F.; Kovatcheva-Datchary, P.; Bäckhed, F. From Dietary Fiber to Host Physiology: Short-Chain Fatty Acids as Key Bacterial Metabolites. Cell 2016, 165, 1332–1345. [Google Scholar] [CrossRef] [PubMed]
- Bilal, M.; Ashraf, S.; Zhao, X. Dietary Component-Induced Inflammation and Its Amelioration by Prebiotics, Probiotics, and Synbiotics. Front. Nutr. 2022, 9, 931458. [Google Scholar] [CrossRef] [PubMed]
- Kopp, W. How Western Diet And Lifestyle Drive The Pandemic Of Obesity And Civilization Diseases. Diabetes Metab. Syndr. Obes. 2019, 12, 2221–2236. [Google Scholar] [CrossRef] [PubMed]
- Bolte, L.A.; Vich Vila, A.; Imhann, F.; Collij, V.; Gacesa, R.; Peters, V.; Vijmenga, C.; Kurikshikov, A.; Campmans-Kuijpers, M.J.E.; Fu, J.; et al. Long-term dietary patterns are associated with pro-inflammatory and anti-inflammatory features of the gut microbiome. Gut 2021, 70, 1287–1298. [Google Scholar] [CrossRef] [PubMed]
- Schwingshackl, L.; Hoffmann, G. Mediterranean dietary pattern, inflammation and endothelial function: A systematic review and meta-analysis of intervention trials. Nutr. Metab. Cardiovasc. Dis. 2014, 24, 929–939. [Google Scholar] [CrossRef] [PubMed]
- Mozaffarian, D. Dietary and Policy Priorities for Cardiovascular Disease, Diabetes, and Obesity A Comprehensive Review. Circulation 2016, 133, 187–225. [Google Scholar] [CrossRef]
- Christ, A.; Lauterbach, M.; Latz, E. Western Diet and the Immune System: An Inflammatory Connection. Immunity 2019, 51, 794–811. [Google Scholar] [CrossRef]
- Bailey, Z.D.; Krieger, N.; Agénor, M.; Graves, J.; Linos, N.; Bassett, M.T. Structural racism and health inequities in the USA: Evidence and interventions. Lancet 2017, 389, 1453–1463. [Google Scholar] [CrossRef]
- Health USDoHHS-OoM. Minority Health—Obesity and African Americans. Available online: https://minorityhealth.hhs.gov/obesity-and-african-americans#:~:text=People%20who%20are%20overweight%20are,compared%20to%20non%2DHispanic%20whites (accessed on 1 August 2024).
- Bopp, M.; Lattimore, D.; Wilcox, S.; Laken, M.; McClorin, L.; Swinton, R.; Gethers, O.; Bryant, D. Understanding physical activity participation in members of an African American church: A qualitative study. Health Educ. Res. 2007, 22, 815–826. [Google Scholar] [CrossRef]
- Wilbur, J.; Chandler, P.; Dancy, B.; Choi, J.; Plonczynski, D. Environmental, policy, and cultural factors related to physical activity in urban, African American women. Women Health 2002, 36, 17–28. [Google Scholar] [CrossRef]
- Henderson, K.A.; Ainsworth, B.E. Enablers and constraints to walking for older African American and American Indian women: The Cultural Activity Participation Study. Res. Q. Exerc. Sport 2000, 71, 313–321. [Google Scholar] [CrossRef]
- Eyler, A.A.; Baker, E.; Cromer, L.; King, A.C.; Brownson, R.C.; Donatelle, R.J. Physical activity and minority women: A qualitative study. Health Educ. Behav. 1998, 25, 640–652. [Google Scholar] [CrossRef]
- Ainsworth, B.E.; Wilcox, S.; Thompson, W.W.; Richter, D.L.; Henderson, K.A. Personal, social, and physical environmental correlates of physical activity in African-American women in South Carolina. Am. J. Prev. Med. 2003, 25 (Suppl. 1), 23–29. [Google Scholar] [CrossRef]
- Richter, D.L.; Wilcox, S.; Greaney, M.L.; Henderson, K.A.; Ainsworth, B.E. Environmental, policy, and cultural factors related to physical activity in African American women. Women Health 2002, 36, 91–109. [Google Scholar] [CrossRef]
- Young, D.R.; He, X.; Harris, J.; Mabry, I. Environmental, policy, and cultural factors related to physical activity in well-educated urban African American women. Women Health 2002, 36, 29–41. [Google Scholar] [CrossRef] [PubMed]
- Block, J.P.; Scribner, R.A.; DeSalvo, K.B. Fast food, race/ethnicity, and income: A geographic analysis. Am. J. Prev. Med. 2004, 27, 211–217. [Google Scholar]
- Zenk, S.N.; Schulz, A.J.; Israel, B.A.; James, S.A.; Bao, S.; Wilson, M.L. Neighborhood racial composition, neighborhood poverty, and the spatial accessibility of supermarkets in metropolitan Detroit. Am. J. Public Health 2005, 95, 660–667. [Google Scholar] [CrossRef]
- Baker, E.A.; Schootman, M.; Barnidge, E.; Kelly, C. The role of race and poverty in access to foods that enable individuals to adhere to dietary guidelines. Prev. Chronic Dis. 2006, 3, A76. [Google Scholar] [PubMed]
- Kutner, M.; Greenburg, E.; Jin, Y.; Paulsen, C. The Health Literacy of America’s Adults: Results from the 2003 National Assessment of Adult Literacy; NCES 2006-483; National Center for Education Statistics: Washington, DC, USA, 2006. [Google Scholar]
- Muvuka, B.; Combs, R.M.; Ayangeakaa, S.D.; Ali, N.M.; Wendel, M.L.; Jackson, T. Health Literacy in African-American Communities: Barriers and Strategies. Health Lit. Res. Pract. 2020, 4, e138–e143. [Google Scholar] [CrossRef] [PubMed]
- Bhattacharya, G. Contextualizing disparity reduction in rural health care: A call to action. J. Fam. Soc. Work. 2013, 16, 86–100. [Google Scholar] [CrossRef]
Authors | Study | n | Methods | Results |
---|---|---|---|---|
Cuevas AG et al. (2014) [52] | Discrimination, Affect, and Cancer Risk Factors among African Americans | 1363 | Nonparametric bootstrapping procedures, adjusted for sociodemographics, were used to assess mediation. | Discrimination may impact certain behavioral cancer risk factors by increasing levels of stress and depressive symptoms. |
Doyle DM and Molix L (2014) [54] | Perceived discrimination as a stressor for close relationships: identifying psychological and physiological pathways | 592 | Secondary data from the Midlife in the United States II (MIDUS II): Milwaukee African American Sample were analyzed. | Discrimination was indirectly associated with increased emotion dysregulation through stressor appraisals and directly associated with increased inflammation (IL-6, e-selectin, and CRP). |
Van Dyke ME et al. (2017) [55] | Socioeconomic status discrimination and C-reactive protein in African-American and White adults | 401 | Population-based cohort in the Southeastern United States. SES discrimination was self-reported with a modified Experiences of Discrimination Scale, and CRP levels were assayed from blood samples. | SES discrimination is an important discriminatory stressor, and it is associated with elevated CRP levels specifically among higher-educated African Americans. |
Lewis, TT et al. (2010) [56] | Self-reported Experiences of Everyday Discrimination are associated with Elevated C-Reactive Protein levels in older African-American Adults | 296 | African American adults from the Minority Aging Research Study (MARS) were included if they had completed the baseline MARS evaluation and had serum available for the measurement of CRP. They were assessed with everyday discrimination by the 9-item Everyday Discrimination Scale. | Self-reported experiences of everyday discrimination are associated with higher levels of CRP in older African American adults. |
Ong AD et al. (2017) [57] | Everyday unfair treatment and multisystem biological dysregulation in African American adults | 233 | Perceptions of everyday unfair treatment were measured by a questionnaire. The allostatic load index was computed as the sum of 7 separate physiological system risk indices. | Everyday mistreatment was associated with higher allostatic load. |
Stepanikova I et al. (2017) [58] | Systemic Inflammation in Midlife: Race, Socioeconomic Status, and Perceived Discrimination | 1054 | Data were obtained from the Survey of Midlife in the U.S. The main outcome measures were fasting blood concentrations of C-reactive protein, interleukin 6, fibrinogen, and E-selectin. For each biomarker, series of multivariate linear regression models were estimated for the pooled sample and separately for Blacks and Whites. | Race, SES, and perceived discrimination contribute to inflammation. Also, this study suggested that inflammation-reducing interventions should focus on Blacks and individuals facing socioeconomic disadvantages, especially low education. |
Boen C (2020) [59] | Death by a Thousand Cuts: Stress Exposure and Black–White Disparities in Physiological Functioning in Late Life | 7280 | The data from the Health and Retirement Study (HRS) (2004–2012) were used. Stepwise ordinary least squares (OLS) regression models were applied to examine the prospective associations between multiple stressors and CRP and metabolic dysregulation. | Blacks experienced more stress than Whites, and stress exposure was strongly associated with CRP and metabolic dysregulation. |
Cuevas, AG et al. (2020) [60] | Discrimination and systemic inflammation: A critical review and synthesis | 28 studies recruited a total of 60,039 respondents | Preferred Reporting Items for Systematic Reviews and Meta-analysis protocol for scoping reviews (PRISMA-ScR) were followed. | The research reviewed suggested that experiences of discrimination, both acute and chronic, can dysregulate immune function, characterized by elevated levels of inflammation. |
Shen, J et al. (2022) [35] | Association of Allostatic Load and all Cancer Risk in the SWAN Cohort | 3015 women | Acquired the data from the Study of Women’s Health Across the Nation (SWAN), a multi-center study of women’s health through menopausal transition comprising a baseline evaluation and ten waves of following annual evaluations. | Individual biomarkers of the AL score and higher levels of triglyceride and CRP were associated with an increased risk of cancer. |
Guan, Y et al. (2023) [43] | Association between Allostatic Load and Breast Cancer Risk: Cohort Study | 5701 women | The study population was identified from the UK Biobank, a prospective cohort study containing in-depth genetic and health information. The AL score included a total of eleven factors, including three cardiovascular (SBP, DBP, PR), one inflammatory (CRP), six metabolic (HDL, waist-to-hip ratio, abnormal cholesterol, TG, HbA1c, creatinine), and one medication factor. | Compared with women in the low-AL group, those in the high-AL group had a 1.17-fold increased risk of breast cancer. |
Boyle, J et al. (2024) [64] | Neighborhood Disadvantage and Prostate Tumor RNA Expression of Stress-Related Genes. | 268 | This cross-sectional study leveraged prostate tumor transcriptomic data for African American and White men with prostate cancer who received radical prostatectomy at the University of Maryland Medical Center. Using addresses at diagnosis, 2 neighborhood deprivation metrics (Area Deprivation Index [ADI] and validated Bayesian Neighborhood Deprivation Index) as well as the Racial Isolation Index (RI) and historical redlining were applied to participants’ addresses. A total of 105 stress-related genes were evaluated with each neighborhood metric using linear regression, adjusting for race, age, and year of surgery. Genes in the Conserved Transcriptional Response to Adversity (CTRA) and stress-related signaling genes were included. | African American participants experienced greater neighborhood disadvantage than White participants. In this cross-sectional study, the expression of several stress-related genes in prostate tumors was higher among men residing in disadvantaged neighborhoods. This study is one of the first to suggest associations of neighborhood disadvantage with prostate tumor RNA expression. |
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Esdaille, A.R.; Kuete, N.K.; Anyaeche, V.I.; Kalemoglu, E.; Kucuk, O. The Interplay between Structural Inequality, Allostatic Load, Inflammation, and Cancer in Black Americans: A Narrative Review. Cancers 2024, 16, 3023. https://doi.org/10.3390/cancers16173023
Esdaille AR, Kuete NK, Anyaeche VI, Kalemoglu E, Kucuk O. The Interplay between Structural Inequality, Allostatic Load, Inflammation, and Cancer in Black Americans: A Narrative Review. Cancers. 2024; 16(17):3023. https://doi.org/10.3390/cancers16173023
Chicago/Turabian StyleEsdaille, Ashanda R., Nelson Kevin Kuete, Vivian Ifunanya Anyaeche, Ecem Kalemoglu, and Omer Kucuk. 2024. "The Interplay between Structural Inequality, Allostatic Load, Inflammation, and Cancer in Black Americans: A Narrative Review" Cancers 16, no. 17: 3023. https://doi.org/10.3390/cancers16173023
APA StyleEsdaille, A. R., Kuete, N. K., Anyaeche, V. I., Kalemoglu, E., & Kucuk, O. (2024). The Interplay between Structural Inequality, Allostatic Load, Inflammation, and Cancer in Black Americans: A Narrative Review. Cancers, 16(17), 3023. https://doi.org/10.3390/cancers16173023