| Literature DB >> 36105908 |
Susmita Sinha1, Mainul Haque2.
Abstract
Regular intake of ready-to-eat meals is related to obesity and several noninfectious illnesses, such as cardiovascular diseases, hypertension, diabetes mellitus (DM), and tumors. Processed foods contain high calories and are often enhanced with excess refined sugar, saturated and trans fat, Na+ andphosphate-containing taste enhancers, and preservatives. Studies showed that monosodium glutamate (MSG) induces raised echelons of oxidative stress, and excessive hepatic lipogenesis is concomitant to obesity and type 2 diabetes mellitus (T2DM). Likewise, more than standard salt intake adversely affects the cardiovascular system, renal system, and central nervous system (CNS), especially the brain. Globally, excessive utilization of phosphate-containing preservatives and additives contributes unswervingly to excessive phosphate intake through food. In addition, communities and even health experts, including medical doctors, are not well-informed about the adverse effects of phosphate preservatives on human health. Dietary phosphate excess often leads to phosphate toxicity, ultimately potentiating kidney disease development. The mechanisms involved in phosphate-related adverse effects are not explainable. Study reports suggested that high blood level of phosphate causes vascular ossification through the deposition of Ca2+ and substantially alters fibroblast growth factor-23 (FGF23) and calcitriol.Entities:
Keywords: blood vessels; food additives; freshly; junk food; oven to table; phosphate; precooked food; prepackaged food; preservatives; unhealthy food
Year: 2022 PMID: 36105908 PMCID: PMC9441778 DOI: 10.7759/cureus.28762
Source DB: PubMed Journal: Cureus ISSN: 2168-8184
Figure 1Molecular mechanics of cellular death provoked by MSG.
MSG: monosodium glutamate; ROS: reactive oxygen species; MDA: malondialdehyde; GSH: glutathione; SOD: superoxide dismutase; ER: endoplasmic reticulum
Image credit: Susmita Sinha
Figure 2Diagrammatic representation of phosphate balance in humans.
PTH: parathyroid hormone; FGF23: fibroblast growth factor-23
Image credit: Susmita Sinha
Figure 3Mechanisms for vascular calcification.
(1) Faulty anti-calcific process due to lack of expressed mineralization inhibitors, (2) product of vesicular matrices act as a nest for Ca3(PO4)2 deposition initiating the osteochondrogenic process, (3) necrotic debris from cellular death by apoptosis perform as nucleation of apatite, (4) irregular Ca/Pi balance sediments Ca3(PO4)2 hydroxyapatite, (5) nucleational complexes help deranged mineralization, and (6) matrix alterations by biodegradable irritants are also engaged in vascular calcification.
MGP: matrix Gla protein; PPi: inorganic pyrophosphate; ROS: reactive oxygen species; CKD: chronic kidney disease; VSMCs: vascular smooth muscle cells; ALP: alkaline phosphatase
Image credit: Susmita Sinha
Chief facilitator and suppressor elements concerned in vessel ossification.
BMP: bone morphogenetic protein; MGP: matrix Gla protein; MMP: matrix metalloproteinase; BMP7: bone morphogenetic protein 7; Runx2: runt-related transcription factor 2; PTH: parathyroid hormone; RANKL: receptor activator of nuclear factor-kappa B ligand; SOX9: sex-determining region Y-box 9
| Facilitators | Suppressors |
| BMP2, BMP4, and BMP6 | MGP |
| Osteocalcin | Osteopontin |
| Alkaline phosphatase (SOX9) | Osteoprotegerin |
| Vitamin K | |
| Osterix | Magnesium |
| MMP2, MMP3, and MMP7 | BMP7 |
| Runx2 | Fetuin-A |
| Ca2+ | Klotho |
| PO43- | PTH |
| C6H12O6 | Pyrophosphate |
| Advanced glycation end products | Carbonic anhydrase |
| Oxidized low-density lipoproteins | |
| Collagen I | |
| RANKL |
Figure 4Formation of hydroxyapatite crystal in matrix vesicle.
TNAP: tissue-nonspecific alkaline phosphatase; NPP1: nucleotide pyrophosphatase/phosphodiesterase; PHOSPHO1: phosphoethanolamine/phosphocholine phosphatase 1; PEA: phosphoethanolamine; PCho: phosphocholine
Image credit: Susmita Sinha
Depicting processed food and its implication for obesity, renal impairment, and endocrine issues.
HDL: high-density lipoprotein; IR: insulin resistance; T2DM: type 2 diabetes mellitus
| Reference | Country involved | Study population | Study design | Results |
| Anyanwu et al. [ | Indonesia | N = 31,160 | Cross-sectional study | The prevalence of overweight and obesity among the study population was 30.9% and 17.4%, respectively. Younger age and male gender significantly correlated with higher eating habits of processed foods. |
| Almandoz et al. [ | USA | N = 404 | Cross-sectional study | Around 5% of the study population put on additional weight. These individuals were found to have more stressful life patterns, anxiety, and depression and were often less deprived of poor physical activity. They preferred to take less healthy meals such as more processed, ready-to-eat foods. They also frequently overindulge with binge eating disorder (BED). |
| Rey-García et al. [ | Spain | N = 1,312 | Prospective cohort study | The consumption of processed food was statistically significantly (p = 0.026) correlated with declining renal physiology. Additionally, high consumption of ready-to-eat meals is sovereignly related to more than 50% possibility of jeopardizing renal physiology among the Spanish elderly community. |
| Sandoval-Insausti et al. [ | Spain | N = 3,521 | Prospective cohort study | Higher convenience store food (fast food) ingestion was linked with central obesity among Spanish individuals aged 60 and over. |
| Beslay et al. [ | France | N = 110,260 | Prospective study | French people consuming more ultra-processed food were positively related to weight gain in BMI and a greater risk of overweight and obesity. |
| Donat-Vargas et al. [ | Spain | N = 1,082 | Prospective cohort study | Individuals who were principally dependent on ready-to-eat meals are frequently related to hypertriglyceridemia or low HDL cholesterol. |
| Llavero-Valero et al. [ | Spain | N = 20,060 | Prospective cohort study | This study reported that those people who chiefly depend on processed food are independently associated with a higher risk for type 2 diabetes mellitus. |
| Montero-Salazar et al. [ | Spain | N = 1,876 | Cross-sectional study | Among middle-aged persons, consuming processed food daily was related to coronary atherosclerosis. Additionally, it has been observed that the risk of cardiovascular issues doubles with consuming 500 g daily than 100 g daily. |
| Du et al. [ | USA | N = 13,548 | Cross-sectional study | Greater ultra-processed food consumption was related to a higher risk of coronary artery disease among US adults who are 45-65 years. Additionally, it has been reported that linear relation was observed between packaged food consumption and the hazard of coronary artery disease. |
| Kurniawan et al. [ | Taiwan | N = 41,128 | Cross-sectional study | Multivariate linear regression analysis revealed that high consumption of packed food, especially flesh and rice/flour products, and low intake of plant origin foods, e.g., fruit and dark-colored vegetables, frequently increases the possibility of cardiovascular disease and weakened renal function among individuals aged 40-95 years. |
| Kurniawan et al. [ | Taiwan | N = 25,569 | Prospective study | This study revealed that eating habits were related to metabolic syndrome. |
| Vogelzangs et al. [ | The Netherlands | N = 634 | Prospective cohort study | It has been reported that Dutch nondiabetic obese individuals possess both liver and muscle IR with high valine, isoleucine, oxoisovaleric acid, alanine, lactate, and triglycerides and lower levels of glycine. Additionally, the hepatic IR index was statistically significant and associated with amplified levels of leucine, hydroxyisobutyrate, tyrosine, proline, creatine, and n-acetyl and lower levels of acetoacetate and 3-OH-butyrate. |
| Wang et al. [ | China | N = 94,952 | Prospective cohort study | IR had a robust relationship with the Chinese obese community. |
| Niu et al. [ | China | N = 369 | Retrospective study | It has been reported that obesity remains the principal instigating factor for several noncommunicable disorders. These include IR, T2DM, hypertension, hyperuricemia, and metabolic syndrome. |
| Martins et al. [ | Brazil | N = 153 | Cross-sectional study | This study revealed that the elderly community under hemodialysis frequently has an unhealthy diet than healthy elderly individuals. Additionally, it has been further spotted that these dialysis patients consume relatively worse processed food on non-dialysis days. |
| Watanabe et al. [ | Brazil | N = 100 | Cross-sectional descriptive-analytical study | This study revealed that protein with phosphate-containing preservatives in prepackaged food was significantly higher (p < 0.0001) than in fresh foods, as well as the phosphate-to-protein ratio. |
Figure 5Mechanism of the formation of vascular calcification in T2DM due to phosphate toxicity.
TNF: tumor necrosis factor; IL: interleukins; BMP: bone morphogenic protein; Runx2: runt-related transcription factor 2; NF-κB: nuclear factor-kappa B; MSX: msh homeobox; ALP: alkaline phosphatase; RANKL: receptor activator of nuclear factor-kappa B ligand
Image credit: Susmita Sinha
Figure 6Schematic presentation of the effects of phosphate toxicity on the renal system.
PTH: parathyroid hormone; FGF23: fibroblast growth factor-23; GFR: growth factor receptor
Image credit: Susmita Sinha