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CRISPR/Cas9, the Powerful New Genome-Editing Tool for Putative Therapeutics in Obesity

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Abstract

The molecular technology known as clustered regularly interspaced palindromic repeats (CRISPR)/CRISPR-associated protein (Cas) is revolutionizing the field of medical research and deepening our understanding of numerous biological processes. The attraction of CRISPR/Cas9 lies in its ability to efficiently edit DNA or modulate gene expression in living eukaryotic cells and organisms, a technology that was once considered either too expensive or scientifically risky. CRISPR/Cas9 has been successfully applied in agriculture to develop the next generation of disease-resistant plants. Now, the capability of gene editing has been translated to the biomedical area, focusing on the future of medicine faced with drug-resistant microbes by selectively targeting genes involved in antibiotic resistance, for example, or finding the ultimate strategy for cancer or HIV. In this regard, it was recently demonstrated that an injection of cancer-fighting CRISPR-modified white blood cells in a patient suffering from metastatic lung cancer could lead to promising results. Researchers and bioethicists are debating questions about the regulation of CRISPR/Cas9 that must be addressed. While legal challenges surround the use of this technique for genetically modifying cell lines in humans, we review the basic understanding of CRISPR/Cas9 and discuss how this technology could represent a candidate for treatment of non-communicable diseases in nutrition, such as obesity.

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References

  • Aarestrup J, Bjerregaard LG, Gamborg M, Angquist L, Tjonneland A, Overvad K et al (2016) Tracking of body mass index from 7 to 69 years of age. Int J Obes 40:1376–1383

    Article  CAS  Google Scholar 

  • Ackermann AM, Zhang J, Heller A, Briker A, Kaestner KH (2017) High-fidelity glucagon-CreER mouse line generated by CRISPR-Cas9 assisted gene targeting. Mol Metab 6:236–244

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Arafa NMS, Marie M-AS, AlAzimi SAM (2016) Effect of canagliflozin and metformin on cortical neurotransmitters in a diabetic rat model. Chem Biol Interact 258:79–88

    Article  PubMed  CAS  Google Scholar 

  • Bao D, Ma Y, Zhang X, Guan F, Chen W, Gao K et al (2015) Preliminary characterization of a leptin receptor knockout rat created by CRISPR/Cas9 system. Sci Rep 5:15942

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Barclay SF, Rand CM, Borch LA, Nguyen L, Gray PA, Gibson WT et al (2015) Rapid-onset obesity with hypothalamic dysfunction, hypoventilation, and autonomic dysregulation (ROHHAD): exome sequencing of trios, monozygotic twins and tumours. Orphanet J Rare Dis 10:103

    Article  PubMed  PubMed Central  Google Scholar 

  • Barrangou R, Fremaux C, Deveau H, Richards M, Boyaval P, Moineau S et al (2007) CRISPR provides acquired resistance against viruses in prokaryotes. Science 315:1709–1712

    Article  PubMed  CAS  Google Scholar 

  • Belsky DW, Moffitt TE, Sugden K, Williams B, Houts R, McCarthy J, Caspi A (2013) Development and evaluation of a genetic risk score for obesity. Biodemography Soc Biol 59:85–100

    Article  PubMed  Google Scholar 

  • Bocarsly ME, Powell ES, Avena NM, Hoebel BG (2010) High-fructose corn syrup causes characteristics of obesity in rats: increased body weight, body fat and triglyceride levels. Pharmacol Biochem Behav 97:101–106

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Borghese MM, Tremblay MS, Leduc G, Boyer C, Bélanger P, LeBlanc AG et al (2015) Television viewing and food intake during television viewing in normal-weight, overweight and obese 9-to 11-year-old Canadian children: a cross-sectional analysis. J Nutr Sci 4:e8

    Article  PubMed  PubMed Central  Google Scholar 

  • Bruyndonckx L, Hoymans VY, De Guchtenaere A, Van Helvoirt M, Van Craenenbroeck EM, Frederix G et al (2015) Diet, exercise, and endothelial function in obese adolescents. Pediatrics 135:e653–e661

    Article  PubMed  Google Scholar 

  • Carroll D (2016) Genome editing: progress and challenges for medical applications. Genome Med 15:120

    Article  Google Scholar 

  • Carter LG, Ngo Tenlep SY, Woollett LA, Pearson KJ (2015) Exercise improves glucose disposal and insulin signaling in pregnant mice fed a high fat diet. J Diabetes Metab 6:634

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Choquet H, Meyre D (2011) Genetics of obesity: what have we learned? Curr Genom 12:169–179

    Article  CAS  Google Scholar 

  • Chung WK (2012) An overview of mongenic and syndromic obesities in humans. Pediatr Blood Cancer 58:122–128

    Article  PubMed  Google Scholar 

  • Claussnitzer M, Dankel SN, Kim KH, Quon G, Meuleman W, Haugen C, Glunk V, Sousa IS, Beaudry JL, Puviindran V, Abdennur NA, Liu J, Svensson PA, Hsu YH, Drucker DJ, Mellgren G, Hui CC, Hauner H, Kellis M (2015) FTO obesity variant circuitry and adipocyte Browning in humans. N Engl J Med 373:895–907

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Cong L, Ran FA, Cox D, Lin S, Barretto R, Habib N et al (2013) Multiplex genome engineering using CRISPR/Cas systems. Science 339:819–823

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Delorme C (2008) Safety assessment of dairy microorganisms: Streptococcus thermophilus. Int J Food Microbiol 126:274–277

    Article  PubMed  CAS  Google Scholar 

  • Ding Y, Li H, Chen L-L, Xie K (2016) Recent advances in genome editing using CRISPR/Cas9. Front Plant Sci 7:703

    PubMed  PubMed Central  Google Scholar 

  • Fawcett KA, Barroso I (2010) The genetics of obesity: FTO leads the way. Trends Genet 26:266–274

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Gabrieli P, Smidler A, Catteruccia F (2014) Engineering the control of mosquito-borne infectious diseases. Genome Biol 15:535

    Article  PubMed  PubMed Central  Google Scholar 

  • Garver WS, Newman SB, Gonzales-Pacheco DM, Castillo JJ, Jelinek D, Heidenreich RA, Orlando RA (2013) The genetics of childhood obesity and interaction with dietary macronutrients. Genes Nutr 8:271–287

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Geibel M, Badurek S, Horn JM, Vatanashevanopakorn C, Koudelka J, Wunderlich CM et al (2014) Ablation of TrkB signalling in CCK neurons results in hypercortisolism and obesity. Nat Commun 5:3427

    Article  PubMed  CAS  Google Scholar 

  • Gero D, Ribeiro-Parenti L, Arapis K, Marmuse J-P (2017) Sleeve gastrectomy combined with the Simplified Hill repair in the treatment of morbid obesity and gastro-esophageal reflux disease: preliminary results in 14 patients. World J Surg 41:1035–1039

    Article  PubMed  Google Scholar 

  • Gervasini G, Gamero-Villarroel C (2015) Discussing the putative role of obesity-associated genes in the etiopathogenesis of eating disorders. Pharmacogenomics 16:1285–1303

    Article  CAS  Google Scholar 

  • Glynn EL, Piner LW, Huffman KM, Slentz CA, Elliot-Penry L, AbouAssi H et al (2015) Impact of combined resistance and aerobic exercise training on branched-chain amino acid turnover, glycine metabolism and insulin sensitivity in overweight humans. Diabetologia 58:2324–2335

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Granholm L, Todkar A, Bergman S, Nilsson K, Comasco E, Nylander I (2017) The expression of opioid genes in non-classical reward areas depends on early life conditions and ethanol intake. Brain Res 1668:36–45

    Article  PubMed  CAS  Google Scholar 

  • Hanipah ZN, Schauer PR (2017) Surgical treatment of obesity and diabetes. Gastrointest Endosc Clin N Am 27:191–211

    Article  PubMed  Google Scholar 

  • Harper KN (2017) New research on using CRISPR/Cas9 to treat HIV. AIDS 31:N7

    PubMed  Google Scholar 

  • Hebebrand J, Albayrak Ö, Adan R, Antel J, Dieguez C, de Jong J, Leng G, Menzies J, Mercer JG, Murphy M, van der Plasse G, Dickson SL (2014) "eating addiction", rather than "food addiction", better captures addictive-like eating behavior. Neurosci Biobehav Rev 47:295–306

    Article  PubMed  Google Scholar 

  • Heidenreich M, Zhang F (2015) Applications of CRISPR–Cas systems in neuroscience. Nat Rev Neurosci 17:36–44

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Hemminki K, Li X, Sundquist J, Sundquist K (2011) Obesity and familial obesity and risk of cancer. Eur J Cancer Prev 20:438–443

    Article  PubMed  Google Scholar 

  • Herrera BM, Lindgren CM (2010) The genetics of obesity. Curr Diab Rep 10:498–505

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Higuera-Hernández MF, Reyes-Cuapio E, Gutiérrez-Mendoza M, Barbosa Rocha N, Barciela Veras A, Budde H, Jesse J, Zaldívar-Rae J, Blanco-Centurión C, Machado S and Murillo-Rodríguez E (2018) Fighting obesity: non-pharmacological interventions. Clinical Nutrition ESPEN. In press

  • Hruby A, Hu FB (2015) The epidemiology of obesity: a big picture. PharmacoEconomics 33:673–689

    Article  PubMed  PubMed Central  Google Scholar 

  • Hung C-F, Breen G, Czamara D, Corre T, Wolf C, Kloiber S et al (2015) A genetic risk score combining 32 SNPs is associated with body mass index and improves obesity prediction in people with major depressive disorder. BMC Med 13:86

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Igarashi M, DiPatrizio NV, Narayanaswami V, Piomelli D (2015) Feeding-induced oleoylethanolamide mobilization is disrupted in the gut of diet-induced obese rodents. Biochim Biophys Acta 1851:1218–1226

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Igel LI, Kumar RB, Saunders KH, Aronne LJ (2017) Practical use of pharmacotherapy for obesity. Gastroenterology 152:1765–1779

    Article  PubMed  Google Scholar 

  • Kaplan LM (2017) What bariatric surgery can teach us about Endoluminal treatment of obesity and metabolic disorders. Gastrointest Endosc Clin N Am 27:213–231

    Article  PubMed  Google Scholar 

  • Kehler J, Greco M, Martino V, Pachiappan M, Yokoe H, Chen A et al (2017) RNA-generated and gene-edited induced pluripotent stem cells for disease modeling and therapy. J Cell Physiol 232:1262–1269

    Article  PubMed  CAS  Google Scholar 

  • Keser A, Yüksel A, Yeşiltepe-Mutlu G, Bayhan A, Özsu E, Hatun Ş (2015) A new insight into food addiction in childhood obesity. Turk J Pediatr 57:219–224

    PubMed  Google Scholar 

  • Klurfeld DM, Foreyt J, Angelopoulos TJ, Rippe JM (2013) Lack of evidence for high fructose corn syrup as the cause of the obesity epidemic. Int J Obes 37:771–773

    Article  CAS  Google Scholar 

  • Kuntz B, Lampert T (2010) Socioeconomic factors and obesity. Dtsch Arztebl Int 107:517–522

    PubMed  PubMed Central  Google Scholar 

  • Lander ES (2016) The heroes of CRISPR. Cell 164:18–28

    Article  PubMed  CAS  Google Scholar 

  • Laitala V, Kaprio J, Koskenvuo M, Raiha I, O Rinne J, Silventoinen K (2011) Association and causal relationship of midlife obesity and related metabolic disorders with old age cognition. Curr Alzheimer Res 8:699–706

    Article  PubMed  CAS  Google Scholar 

  • Leigh SJ, Morris MJ (2018) The role of reward circuitry and food addiction in the obesity epidemic: an update. Biol Psychol 131:31–42

    Article  PubMed  Google Scholar 

  • Lerma-Cabrera JM, Carvajal F, Lopez-Legarrea P (2016) Food addiction as a new piece of the obesity framework. Nutr J 15:5

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Ledford H (2016) The unsung heroes of CRISPR. Nature 21:342–344

    Article  CAS  Google Scholar 

  • Li S, Zhao JH, Luan J, Luben RN, Rodwell SA, Khaw K-T et al (2010) Cumulative effects and predictive value of common obesity-susceptibility variants identified by genome-wide association studies. Am J Clin Nutr 91:184–190

    Article  PubMed  CAS  Google Scholar 

  • Liang P, Xu Y, Zhang X, Ding C, Huang R, Zhang Z et al (2015) CRISPR/Cas9-mediated gene editing in human tripronuclear zygotes. Protein Cell 6:363–372

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Liu Y-J, Guo Y-F, Zhang L-S, Pei Y-F, Yu N, Yu P et al (2010) Biological pathway-based genome-wide association analysis identified the vasoactive intestinal peptide (VIP) pathway important for obesity. Obesity (Silver Spring) 18:2339–2346

    Article  CAS  Google Scholar 

  • Locke AE, Kahali B, Berndt SI, Justice AE, Pers TH, Day FR et al (2015) Genetic studies of body mass index yield new insights for obesity biology. Nature 518:197–206

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Loos RJF, Janssens ACJW (2017) Predicting polygenic obesity using genetic information. Cell Metab 25:535–543

    Article  PubMed  CAS  Google Scholar 

  • Lu J, Shao Y, Qin X, Liu D, Chen A, Li D et al (2017) CRISPR knockout rat cytochrome P450 3A1/2 model for advancing drug metabolism and pharmacokinetics research. Sci Rep 7:42922

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Mali P, Yang L, Esvelt KM, Aach J, Guell M, DiCarlo JE et al (2013) RNA-guided human genome engineering via Cas9. Science 339:823–826

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Mallipedhi A, Prior SL, Dunseath G, Bracken RM, Barry J, Caplin S et al (2015) Changes in plasma levels of N-arachidonoyl ethanolamine and N-palmitoylethanolamine following bariatric surgery in morbidly obese females with impaired glucose homeostasis. J Diabetes Res 2015:680867

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Manco M, Dallapiccola B (2012) Genetics of pediatric obesity. Pediatrics 130:123–133

    Article  PubMed  Google Scholar 

  • Martinussen C, Bojsen-Moller KN, Svane MS, Dejgaard TF, Madsbad S (2017) Emerging drugs for the treatment of obesity. Expert Opin Emerg Drugs 22:87–99

    Article  PubMed  CAS  Google Scholar 

  • Mayans L (2015) Metabolic syndrome: insulin resistance and prediabetes. FP Essent 435:11–16

    PubMed  Google Scholar 

  • Merchant AT, Vatanparast H, Barlas S, Dehghan M, Shah SMA, De Koning L, Steck SE (2009) Carbohydrate intake and overweight and obesity among healthy adults. J Am Diet Assoc 109:1165–1172

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Meule A, Hermann T, Kübler A (2015) Food addiction in overweight and obese adolescents seeking weight-loss treatment. Eur Eat Disord Rev 23:193–198

    Article  PubMed  Google Scholar 

  • Mielenz D, Reichel M, Jia T, Quinlan EB, Stöckl T, Mettang M et al (2017) EFhd2/Swiprosin-1 is a common genetic determinator for sensation-seeking/low anxiety and alcohol addiction. Mol Psychiatry In press

  • Mies GW, Treur JL, Larsen JK, Halberstadt J, Pasman JA, Vink JM (2017) The prevalence of food addiction in a large sample of adolescents and its association with addictive substances. Appetite 118:97–105

    Article  PubMed  Google Scholar 

  • Mollard RC, Senechal M, MacIntosh AC, Hay J, Wicklow BA, Wittmeier KDM et al (2014) Dietary determinants of hepatic steatosis and visceral adiposity in overweight and obese youth at risk of type 2 diabetes. Am J Clin Nutr 99:804–812

    Article  PubMed  CAS  Google Scholar 

  • Monteleone AM, Di Marzo V, Monteleone P, Dalle Grave R, Aveta T, El Ghoch M et al (2016) Responses of peripheral endocannabinoids and endocannabinoid-related compounds to hedonic eating in obesity. Eur J Nutr 55:1799–1805

    Article  PubMed  CAS  Google Scholar 

  • Moore CF, Sabino V, Koob GF, Cottone P (2017a) Neuroscience of compulsive eating behavior. Front Neurosci 11:469

    Article  PubMed  PubMed Central  Google Scholar 

  • Moore CF, Sabino V, Koob GF, Cottone P (2017b) Pathological overeating: emerging evidence for a compulsivity construct. Neuropsychopharmacology 42:1375–1389

    Article  PubMed  PubMed Central  Google Scholar 

  • Mulvihill JJ, Capps B, Joly Y, Lysaght T, Zwart HAE, Chadwick R (2017) Ethical issues of CRISPR technology and gene editing through the lens of solidarity. Br med bull 1–13

  • Nelles DA, Fang MY, Aigner S, Yeo GW (2015) Applications of Cas9 as an RNA-programmed RNA-binding protein. BioEssays 37:732–739

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Ng MCY, Bowden DW (2013) Is genetic testing of value in predicting and treating obesity? N C Med J 74:530–533

    PubMed  PubMed Central  Google Scholar 

  • Nolan LJ, Geliebter A (2016) "food addiction" is associated with night eating severity. Appetite 98:89–94

    Article  PubMed  Google Scholar 

  • Papakonstantinou E, Lambadiari V, Dimitriadis G, Zampelas A (2013) Metabolic syndrome and cardiometabolic risk factors. Curr Vasc Pharmacol 11:858–879

    Article  PubMed  CAS  Google Scholar 

  • Pedram P, Zhai G, Gulliver W, Zhang H, Sun G (2017) Two novel candidate genes identified in adults from the Newfoundland population with addictive tendencies towards food. Appetite 115:71–79

    Article  PubMed  Google Scholar 

  • Peterson RE, Maes HH, Holmans P, Sanders AR, Levinson DF, Shi J et al (2011) Genetic risk sum score comprised of common polygenic variation is associated with body mass index. Hum Genet 129:221–230

    Article  PubMed  Google Scholar 

  • Pigeyre M, Yazdi FT, Kaur Y, Meyre D (2016) Recent progress in genetics, epigenetics and metagenomics unveils the pathophysiology of human obesity. Clin Sci (Lond) 130:943–986

    Article  CAS  Google Scholar 

  • Pope SM (2017) Impact of gene editing tools, like CRISPR/Cas9, on the public health response to disease outbreaks. Disaster Med Public Health Prep 11:155–159

    Article  PubMed  Google Scholar 

  • Razavi BM, Hosseinzadeh H (2017) Saffron: a promising natural medicine in the treatment of metabolic syndrome. J Sci Food Agric 97:1679–1685

    Article  PubMed  CAS  Google Scholar 

  • Roh JI, Lee J, Park SU, Kang YS, Lee J, Oh AR, Choi DJ, Cha JY, Lee HW (2018) CRISPR-Cas9-mediated generation of obese and diabetic mouse models. Exp Anim In press

  • Romieu I, Dossus L, Barquera S, Blottiere HM, Franks PW, Gunter M et al (2017) Energy balance and obesity: what are the main drivers? Cancer Causes Control 28:247–258

    Article  PubMed  PubMed Central  Google Scholar 

  • Rovaris DL, Schuch JB, Grassi-Oliveira R, Sanvicente-Vieira B, da Silva BS, Walss-Bass C et al (2017) Effects of crack cocaine addiction and stress-related genes on peripheral BDNF levels. J Psychiatr Res 90:78–85

    Article  PubMed  Google Scholar 

  • Sandholt CH, Sparso T, Grarup N, Albrechtsen A, Almind K, Hansen L et al (2010) Combined analyses of 20 common obesity susceptibility variants. Diabetes 59:1667–1673

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Singla P, Bardoloi A, Parkash AA (2010) Metabolic effects of obesity: a review. World J Diabetes 1:76–88

    Article  PubMed  PubMed Central  Google Scholar 

  • Smith CJ, Ryckman KK (2015) Epigenetic and developmental influences on the risk of obesity, diabetes, and metabolic syndrome. Diabetes, Metab Syndr Obes Targets Ther 8:295

    Google Scholar 

  • Speliotes EK, Willer CJ, Berndt SI, Monda KL, Thorleifsson G, Jackson AU et al (2010) Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet 42:937–948

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Stanhope KL, Bremer AA, Medici V, Nakajima K, Ito Y, Nakano T et al (2011) Consumption of fructose and high fructose corn syrup increase postprandial triglycerides, LDL-cholesterol, and apolipoprotein-B in young men and women. J Clin Endocrinol Metab 96:E1596–E1605

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Steiner MA, Sciarretta C, Pasquali A, Jenck F (2013) The selective orexin receptor 1 antagonist ACT-335827 in a rat model of diet-induced obesity associated with metabolic syndrome. Front Pharmacol 4:165

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Vucenik I, Stains JP (2012) Obesity and cancer risk: evidence, mechanisms, and recommendations. Ann N Y Acad Sci 1271:37–43

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Wali P, King J, He Z, Tonb D, Horvath K (2014) Ghrelin and obestatin levels in children with failure to thrive and obesity. J Pediatr Gastroenterol Nutr 58:376–381

    Article  PubMed  CAS  Google Scholar 

  • Walters BJ, Mercaldo V, Gillon CJ, Yip M, Neve RL, Boyce FM, Frankland PW, Josselyn SA (2017) The role of the RNA demethylase FTO (fat mass and obesity-associated) and mRNA methylation in hippocampal memory formation. Neuropsychopharmacology 42:1502–1510

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  • Wang L, Yi F, Fu L, Yang J, Wang S, Wang Z et al (2017) CRISPR/Cas9-mediated targeted gene correction in amyotrophic lateral sclerosis patient iPSCs. Protein Cell 8:365–378

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  • Warchol M, Krauss H, Wojciechowska M, Opala T, Pieta B, Zukiewicz-Sobczak W et al (2014) The role of ghrelin, leptin and insulin in foetal development. Ann Agric Environ Med 21:349–352

    Article  PubMed  CAS  Google Scholar 

  • Whitaker RC, Wright JA, Pepe MS, Seidel KD, Dietz WH (1997) Predicting obesity in young adulthood from childhood and parental obesity. N Engl J Med 337:869–873

    Article  PubMed  CAS  Google Scholar 

  • Wiss DA, Criscitelli K, Gold M, Avena N (2017) Preclinical evidence for the addiction potential of highly palatable foods: current developments related to maternal influence. Appetite 115:19–27

    Article  PubMed  Google Scholar 

  • Wiwanitkit V (2012) Obesity, HDL and breast Cancer. Indian J Surg Oncol 3:286

    Article  PubMed  PubMed Central  Google Scholar 

  • World Health Organization (2015) Obesity. WHO Retrieved from http://www.who.int/gho/ncd/risk_factors/obesity_text/en/

  • World Health Organization (2016) Obesity and overweight. Retrieved May 1, 2017, from http://www.who.int/mediacentre/factsheets/fs311/en/

  • Xia P, Zhang X, Xie Y, Guan M, Villeneuve DL, Yu H (2016) Functional Toxicogenomic assessment of Triclosan in human HepG2 cells using genome-wide CRISPR-Cas9 screening. Environ Sci Technol 50:10682–10692

    Article  PubMed  CAS  Google Scholar 

  • Zhang W, Cline MA, Gilbert ER (2014) Hypothalamus-adipose tissue crosstalk: neuropeptide Y and the regulation of energy metabolism. Nutr Metab (Lond) 11:27

    Article  CAS  Google Scholar 

  • Zimbron J, Khandaker GM, Toschi C, Jones PB, Fernandez-Egea E (2016) A systematic review and meta-analysis of randomised controlled trials of treatments for clozapine-induced obesity and metabolic syndrome. Eur Neuropsychopharmacol 26:1353–1365

    Article  PubMed  CAS  Google Scholar 

  • Zulfiqar HF, Javed A, Sumbal AB, Ali Q, Akbar K et al (2017) HIV diagnosis and treatment through advanced technologies. Front Publ Heal 5:32

    Article  Google Scholar 

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Acknowledgements

This work was supported by the University of California Institute for Mexico and the United States (UC MEXUS) and by the Consejo Nacional de Ciencia y Tecnología (CONACyT; CN-17-19) and Escuela de Medicina, Universidad Anáhuac Mayab (PresInvEMR2017).

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Authors and Affiliations

  1. Laboratorio de Neurociencias Moleculares e Integrativas, Escuela de Medicina División Ciencias de la Salud, Universidad Anáhuac Mayab, A.P. 96 Cordemex C.P, 97310, Mérida, Yucatán, Mexico

    María José Franco-Tormo, Mireille Salas-Crisostomo & Eric Murillo-Rodríguez

  2. Intercontinental Neuroscience Research Group, Mérida, Yucatán, Mexico

    María José Franco-Tormo, Mireille Salas-Crisostomo, Nuno Barbosa Rocha, Henning Budde, Sérgio Machado & Eric Murillo-Rodríguez

  3. Health School, Polytechnic Institute of Porto, Porto, Portugal

    Nuno Barbosa Rocha

  4. Faculty of Human Sciences, Medical School Hamburg, Hamburg, Germany

    Henning Budde

  5. Physical Activity, Physical Education, Health and Sport Research Centre (PAPESH), Sports Science Department, School of Science and Engineering, Reykjavik University, Reykjavik, Iceland

    Henning Budde

  6. Lithuanian Sports University, Kaunas, Lithuania

    Henning Budde

  7. Laboratory of Panic and Respiration, Institute of Psychiatry of Federal University of Rio de Janeiro, Rio de Janeiro, Brazil

    Sérgio Machado

  8. Physical Activity Neuroscience Laboratory, Physical Activity Sciences Postgraduate Program of Salgado de Oliveira University, Niterói, Brazil

    Sérgio Machado

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  1. María José Franco-Tormo
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Franco-Tormo, M.J., Salas-Crisostomo, M., Rocha, N.B. et al. CRISPR/Cas9, the Powerful New Genome-Editing Tool for Putative Therapeutics in Obesity. J Mol Neurosci 65, 10–16 (2018). https://doi.org/10.1007/s12031-018-1076-4

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