The DOI matches its Crossref record; 41 of the 42 references it cites were found in a registry or an index.
High-fat diet reprograms the epigenome of rat spermatozoa and transgenerationally affects metabolism of the offspring
Open accessAbstract
OBJECTIVES: Chronic and high consumption of fat constitutes an environmental stress that leads to metabolic diseases. We hypothesized that high-fat diet (HFD) transgenerationally remodels the epigenome of spermatozoa and metabolism of the offspring. METHODS: F0-male rats fed either HFD or chow diet for 12 weeks were mated with chow-fed dams to generate F1 and F2 offspring. Motile spermatozoa were isolated from F0 and F1 breeders to determine DNA methylation and small non-coding RNA (sncRNA) expression pattern by deep sequencing. RESULTS: Newborn offspring of HFD-fed fathers had reduced body weight and pancreatic beta-cell mass. Adult female, but not male, offspring of HFD-fed fathers were glucose intolerant and resistant to HFD-induced weight gain. This phenotype was perpetuated in the F2 progeny, indicating transgenerational epigenetic inheritance. The epigenome of spermatozoa from HFD-fed F0 and their F1 male offspring showed common DNA methylation and small non-coding RNA expression signatures. Altered expression of sperm miRNA let-7c was passed down to metabolic tissues of the offspring, inducing a transcriptomic shift of the let-7c predicted targets. CONCLUSION: Our results provide insight into mechanisms by which HFD transgenerationally reprograms the epigenome of sperm cells, thereby affecting metabolic tissues of offspring throughout two generations.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Figures













Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Molecular analyses confirmed histone modifications in the promoter regions of leptin and adiponectin, including reduced H3K9 acetylation and increased H3K9 demethylation and H4K20 monomethylation, consistent with altered gene transcription and circulating adipokine levels [176].”
From Maternal Overnutrition and Fetal Programming: Long-Term Metabolic, Cognitive, and Epigenetic Consequences (2026) · cites this paper as [176]
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Robinson, M. D., McCarthy, D. J., & Smyth, G. K. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp616 · Cited by 41,364
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849
Model-based Analysis of ChIP-Seq (MACS)
Zhang, Y., Liu, T., Meyer, C. A., Eeckhoute, J., Johnson, D. S., Bernstein, B. E., Nusbaum, C., Myers, R. M., Brown, M., Li, W., et al. (2008) · Genome Biology · doi:10.1186/gb-2008-9-9-r137 · Cited by 18,386
miRBase: annotating high confidence microRNAs using deep sequencing data
Kozomara, A., & Griffiths-Jones, S. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1181 · Cited by 5,073
The impact of microRNAs on protein output
Baek, D., Villén, J., Shin, C., Camargo, F. D., Gygi, S. P., & Bartel, D. P. (2008) · Nature · doi:10.1038/nature07242 · Cited by 3,592
Widespread changes in protein synthesis induced by microRNAs
Selbach, M., Schwanhäusser, B., Thierfelder, N., Fang, Z., Khanin, R., & Rajewsky, N. (2008) · Nature · doi:10.1038/nature07228 · Cited by 3,429 · cited 1×
“Considering that miRNAs can regulate the expression of their targets at the protein level [22,23], we quantified the protein content of let-7c predicted targets in WAT of F1-female offspring.”
Small silencing RNAs: an expanding universe
Ghildiyal, M., & Zamore, P. D. (2009) · Nature Reviews Genetics · doi:10.1038/nrg2504 · Cited by 2,418
The UCSC Table Browser data retrieval tool
Karolchik, D. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkh103 · Cited by 2,314
Chronic high-fat diet in fathers programs β-cell dysfunction in female rat offspring
Ng, S.-F., Lin, R. C. Y., Laybutt, D. R., Barres, R., Owens, J. A., & Morris, M. J. (2010) · Nature · doi:10.1038/nature09491 · Cited by 1,327
PIWI-interacting small RNAs: the vanguard of genome defence
Siomi, M. C., Sato, K., Pezic, D., & Aravin, A. A. (2011) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3089 · Cited by 1,319
Cited by
Sorted by citations
Epigenetic inheritance of acquired traits through sperm RNAs and sperm RNA modifications
Chen, Q., Yan, W., & Duan, E. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.106 · Cited by 576
Small RNAs Are Trafficked from the Epididymis to Developing Mammalian Sperm
Sharma, U., Sun, F., Conine, C. C., Reichholf, B., Kukreja, S., Herzog, V. A., Ameres, S. L., & Rando, O. J. (2018) · Developmental Cell · doi:10.1016/j.devcel.2018.06.023 · Cited by 446
Environmentally induced epigenetic transgenerational inheritance of disease
Nilsson, E. E., Sadler‐Riggleman, I., & Skinner, M. K. (2018) · Current Zoology · doi:10.1093/eep/dvy016 · Cited by 423
tRNA-Derived Small RNA: A Novel Regulatory Small Non-Coding RNA
Li, S., Xu, Z., & Sheng, J. (2018) · Genes · doi:10.3390/genes9050246 · Cited by 342
Sperm epigenetics and influence of environmental factors
Donkin, I., & Barrès, R. (2018) · Molecular Metabolism · doi:10.1016/j.molmet.2018.02.006 · Cited by 331
Self-citationThe Role of the Epididymis and the Contribution of Epididymosomes to Mammalian Reproduction
James, E. R., Carrell, D. T., Aston, K. I., Jenkins, T. G., Yeste, M., & Salas‐Huetos, A. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21155377 · Cited by 357
Obesity, male infertility, and the sperm epigenome
Craig, J. R., Jenkins, T. G., Carrell, D. T., & Hotaling, J. M. (2017) · Fertility and Sterility · doi:10.1016/j.fertnstert.2017.02.115 · Cited by 341
Epigenetic Mechanisms of Transmission of Metabolic Disease across Generations
Sales, V., Ferguson‐Smith, A. C., & Patti, M. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.02.016 · Cited by 248
Obesity, a serious etiologic factor for male subfertility in modern society
Liu, Y., & Ding, Z. (2017) · Reproduction · doi:10.1530/rep-17-0161 · Cited by 250
Pillon, N. J., Loos, R. J. F., Marshall, S. M., & Zierath, J. R. (2021) · Cell · doi:10.1016/j.cell.2021.02.012 · Cited by 247
Self-citationPOHaD: why we should study future fathers
Soubry, A. (2018) · Current Zoology · doi:10.1093/eep/dvy007 · Cited by 231
The New RNA World: Growing Evidence for Long Noncoding RNA Functionality
Jandura, A., & Krause, H. M. (2017) · Trends in Genetics · doi:10.1016/j.tig.2017.08.002 · Cited by 217
The role of diet and exercise in the transgenerational epigenetic landscape of T2DM
Barrès, R., & Zierath, J. R. (2016) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2016.87 · Cited by 198
Self-citationGapp, K., van Steenwyk, G., Germain, P. L., Matsushima, W., Rudolph, K. L. M., Manuella, F., Roszkowski, M., Vernaz, G., Ghosh, T., Pelczar, P., et al. (2020) · Molecular Psychiatry · doi:10.1038/s41380-018-0271-6 · Cited by 195
Champroux, A., Cocquet, J., Henry-Berger, J., Drevet, J. R., & Kocer, A. (2018) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2018.00050 · Cited by 191
Castillo, J., Jodar, M., & Oliva, R. (2018) · Human Reproduction Update · doi:10.1093/humupd/dmy017 · Cited by 181
Metabolic Inputs into the Epigenome
Sharma, U., & Rando, O. J. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.02.003 · Cited by 167
Epigenetic Transgenerational Inheritance of Obesity Susceptibility
King, S. E., & Skinner, M. K. (2020) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2020.02.009 · Cited by 177
Sharma, U. (2019) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2019.00215 · Cited by 173
Sarker, G., Sun, W., Rosenkranz, D., Pelczar, P., Opitz, L., Efthymiou, V., Wolfrum, C., & Peleg‐Raibstein, D. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1820810116 · Cited by 163
The preconception environment and sperm epigenetics
Marcho, C., Oluwayiose, O. A., & Pilsner, J. R. (2020) · Andrology · doi:10.1111/andr.12753 · Cited by 153
Contribution of semen to early embryo development: fertilization and beyond
Vallet-Buisan, M., Mecca, R., Jones, C., Coward, K., & Yeste, M. (2023) · Human Reproduction Update · doi:10.1093/humupd/dmad006 · Cited by 141
Yeshurun, S., & Hannan, A. J. (2019) · Molecular Psychiatry · doi:10.1038/s41380-018-0039-z · Cited by 121
Genes and Diet in the Prevention of Chronic Diseases in Future Generations
Franzago, M., Santurbano, D., Vitacolonna, E., & Stuppia, L. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21072633 · Cited by 142
Ingerslev, L. R., Donkin, I., Fabre, O., Versteyhe, S., Mechta, M., Pattamaprapanont, P., Mortensen, B., Krarup, N. T., & Barrès, R. (2018) · Clinical Epigenetics · doi:10.1186/s13148-018-0446-7 · Cited by 124
Self-citationThe contribution of epididymosomes to the sperm small RNA profile
Trigg, N. A., Eamens, A. L., & Nixon, B. (2019) · Reproduction · doi:10.1530/rep-18-0480 · Cited by 128
Effects of maternal and paternal exercise on offspring metabolism
Kusuyama, J., Alves-Wagner, A. B., Makarewicz, N., & Goodyear, L. J. (2020) · Nature Metabolism · doi:10.1038/s42255-020-00274-7 · Cited by 124
Rompala, G. R., Mounier, A., Wolfe, C. M., Lin, Q., Lefterov, I. M., & Homanics, G. E. (2018) · Frontiers in Genetics · doi:10.3389/fgene.2018.00032 · Cited by 118
van Steenwyk, G., Roszkowski, M., Manuella, F., Franklin, T. B., & Mansuy, I. M. (2018) · Environmental Epigenetics · doi:10.1093/eep/dvy023 · Cited by 116
A history of why fathers’ RNA matters†
Gòdia, M., Swanson, G., & Krawetz, S. A. (2018) · Biology of Reproduction · doi:10.1093/biolre/ioy007 · Cited by 113
Epigenetic reprogramming in metabolic disorders: nutritional factors and beyond
Cheng, Z., Zheng, L., & Almeida, F. A. (2017) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2017.10.004 · Cited by 117
All you need to know about sperm RNAs
Santiago, J., Silva, J. V., Howl, J., Santos, M. A. S., & Fardilha, M. (2021) · Human Reproduction Update · doi:10.1093/humupd/dmab034 · Cited by 113
Paternal Exercise Improves Glucose Metabolism in Adult Offspring
Stanford, K. I., Rasmussen, M., Baer, L. A., Lehnig, A. C., Rowland, L. A., White, J. D., So, K., Sousa‐Coelho, A. L. D., Hirshman, M. F., Patti, M., et al. (2018) · Diabetes · doi:10.2337/db18-0667 · Cited by 115
Self-citationPépin, A.-S., Lafleur, C., Lambrot, R., Dumeaux, V., & Kimmins, S. (2022) · Molecular Metabolism · doi:10.1016/j.molmet.2022.101463 · Cited by 115
Friedman, J. E. (2018) · Diabetes · doi:10.2337/dbi17-0011 · Cited by 108
Crean, A. J., & Senior, A. M. (2019) · Obesity Reviews · doi:10.1111/obr.12827 · Cited by 101
Wan, Q.-L., Meng, X., Wang, C., Dai, W., Luo, Z., Yin, Z., Ju, Z., Fu, X., Yang, J., Ye, Q., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-28469-4 · Cited by 102
Impact of Parental Exposure on Offspring Health in Humans
Jawaid, A., Jehle, K.-L., & Mansuy, I. M. (2020) · Trends in Genetics · doi:10.1016/j.tig.2020.10.006 · Cited by 110
Consequences of Paternal Nutrition on Offspring Health and Disease
Dimofski, P., Meyre, D., Dreumont, N., & Leininger‐Muller, B. (2021) · Nutrients · doi:10.3390/nu13082818 · Cited by 97
Multigenerational epigenetic inheritance: Transmitting information across generations
Burton, N. O., & Greer, E. L. (2021) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2021.08.006 · Cited by 91
DNA methylation in human sperm: a systematic review
Åsenius, F., Danson, A. F., & Marzi, S. J. (2020) · Human Reproduction Update · doi:10.1093/humupd/dmaa025 · Cited by 86
Epigenetic legacy of parental experiences: Dynamic and interactive pathways to inheritance
Champagne, F. A. (2016) · Development and Psychopathology · doi:10.1017/s0954579416000808 · Cited by 81
Paternal epigenetics: Mammalian sperm provide much more than DNA at fertilization
Blévec, E. L., Muroňová, J., Ray, P. F., & Arnoult, C. (2020) · Molecular and Cellular Endocrinology · doi:10.1016/j.mce.2020.110964 · Cited by 86
The influence of seminal plasma on offspring development and health
Morgan, H. L., & Watkins, A. J. (2019) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2019.06.008 · Cited by 85
Paternal epigenetic programming: evolving metabolic disease risk
Hur, S. S. J., Cropley, J. E., & Suter, C. M. (2017) · Journal of Molecular Endocrinology · doi:10.1530/jme-16-0236 · Cited by 81
Diet-Induced Modification of the Sperm Epigenome Programs Metabolism and Behavior
Bodden, C., Hannan, A. J., & Reichelt, A. C. (2019) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2019.10.005 · Cited by 81
Liu, J., Shi, J., Hernandez, R., Li, X., Konchadi, P., Miyake, Y., Chen, Q., Zhou, T., & Zhou, C. (2023) · Environment International · doi:10.1016/j.envint.2023.107769 · Cited by 83
Effects of obesity and diabetes on the epigenetic modification of mammalian gametes
Ou, X., Zhu, C., & Sun, S. (2018) · Journal of Cellular Physiology · doi:10.1002/jcp.27847 · Cited by 78
Nutrition and its role in epigenetic inheritance of obesity and diabetes across generations
Kaspar, D., Hastreiter, S., Irmler, M., de Angelis, M. H., & Beckers, J. (2020) · Mammalian Genome · doi:10.1007/s00335-020-09839-z · Cited by 87
Transgenerational epigenetics: Integrating soma to germline communication with gametic inheritance
Sharma, A. (2017) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2016.12.015 · Cited by 80
Morgan, C. P., Chan, J. C., & Bale, T. L. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.09.007 · Cited by 74
Dupont, C., Kappeler, L., Saget, S., Grandjean, V., & Lévy, R. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00337 · Cited by 80
Jia, Y., Tan, W., & Zhou, Y. (2020) · Annals of Translational Medicine · doi:10.21037/atm-20-2797 · Cited by 72
Frequency, morbidity and equity — the case for increased research on male fertility
Kimmins, S., Anderson, R. A., Barratt, C. L. R., Behre, H. M., Catford, S. R., Jonge, C. J. D., Delbès, G., Eisenberg, M. L., Garrido, N., Houston, B. J., et al. (2023) · Nature Reviews Urology · doi:10.1038/s41585-023-00820-4 · Cited by 71
Akhatova, A., Jones, C., Coward, K., & Yeste, M. (2025) · Clinical Epigenetics · doi:10.1186/s13148-025-01815-1 · Cited by 87
Maxwell, D. L., Oluwayiose, O. A., Houle, E., Roth, K., Nowak, K., Sawant, S., Paskavitz, A. L., Liu, W., Gurdziel, K., Petriello, M. C., et al. (2024) · Environment International · doi:10.1016/j.envint.2024.108577 · Cited by 71
Epigenetic modification by dietary factors: Implications in metabolic syndrome
Park, J., Kim, S., Lee, M. S., & Kim, M. (2017) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2017.01.008 · Cited by 74
Ejaculate-mediated paternal effects: evidence, mechanisms and evolutionary implications
Evans, J. P., Wilson, A. J., Pilastro, A., & García–González, F. (2019) · Reproduction · doi:10.1530/rep-18-0524 · Cited by 72
Noor, N., Cárdenas, A., Rifas‐Shiman, S. L., Pan, H., Dreyfuss, J. M., Oken, E., Hivert, M., James-Todd, T. M., Patti, M., & ISGANAITIS, E. M. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.16777 · Cited by 72
Dutton, H., Borengasser, S. J., Gaudet, L., Barbour, L. A., & Keely, E. J. (2017) · Medical Clinics of North America · doi:10.1016/j.mcna.2017.08.008 · Cited by 77
Environmental Impact on Male (In)Fertility via Epigenetic Route
Cescon, M., Chianese, R., & Tavares, R. S. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9082520 · Cited by 71
Sex differences in the intergenerational inheritance of metabolic traits
Sandovici, I., Fernandez‐Twinn, D. S., Hufnagel, A., Constância, M., & Ozanne, S. E. (2022) · Nature Metabolism · doi:10.1038/s42255-022-00570-4 · Cited by 69
Epigenetic germline inheritance in mammals: looking to the past to understand the future
Gapp, K., & Bohacek, J. (2017) · Genes Brain & Behavior · doi:10.1111/gbb.12407 · Cited by 72
Paternal obesity: how bad is it for sperm quality and progeny health?
Raad, G., Hazzouri, M., Bottini, S., Trabucchi, M., Azoury, J., & Grandjean, V. (2017) · Basic and Clinical Andrology · doi:10.1186/s12610-017-0064-9 · Cited by 73
The role of epigenetics in the development of obesity
Obri, A., Serra, D., Herrero, L., & Mera, P. (2020) · Biochemical Pharmacology · doi:10.1016/j.bcp.2020.113973 · Cited by 71
Paternal preconception phthalate exposure alters sperm methylome and embryonic programming
Oluwayiose, O. A., Marcho, C., Wu, H., Houle, E., Krawetz, S. A., Suvorov, A., Mager, J., & Pilsner, J. R. (2021) · Environment International · doi:10.1016/j.envint.2021.106693 · Cited by 62
Rompala, G. R., & Homanics, G. E. (2019) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.14029 · Cited by 70
Non-Coding RNAs in Human Cancer and Other Diseases: Overview of the Diagnostic Potential
Beňačka, R., Szabóová, D., Guľašová, Z., Hertelyová, Z., & Radoňak, J. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms242216213 · Cited by 68
Perrier, J., Sellem, E., Prézelin, A., Gasselin, M., Jouneau, L., Piumi, F., Adhami, H. A., Weber, M., Fritz, S., Boichard, D., et al. (2018) · BMC Genomics · doi:10.1186/s12864-018-4764-0 · Cited by 66
Chen, H., Alves, M. B. R., & Belleannée, C. (2021) · Human Reproduction Update · doi:10.1093/humupd/dmab029 · Cited by 63
The influence of paternal diet on sncRNA-mediated epigenetic inheritance
Klastrup, L. K., Bak, S. T., & Nielsen, A. L. (2018) · Molecular Genetics and Genomics · doi:10.1007/s00438-018-1492-8 · Cited by 66
Portha, B., Grandjean, V., & Movassat, J. (2019) · Nutrients · doi:10.3390/nu11020233 · Cited by 64
Zhou, Y. X., Zhu, H., Wu, H., Jin, L., Chen, B., Pang, H., Ming, Z., Cheng, Y., Zhou, C., Guo, M., et al. (2018) · Obesity · doi:10.1002/oby.22322 · Cited by 63
Male Infertility: New Developments, Current Challenges, and Future Directions
Gül, M., Russo, G. I., Kandil, H., Boitrelle, F., Saleh, R. A., Chung, E., Kavoussi, P. K., Mostafa, T., Shah, R. S., & Agarwal, A. K. (2023) · The World Journal of Men s Health · doi:10.5534/wjmh.230232 · Cited by 61
Effects of paternal overnutrition and interventions on future generations
Billah, M. M., Khatiwada, S., Morris, M. J., & Maloney, C. (2022) · International Journal of Obesity · doi:10.1038/s41366-021-01042-7 · Cited by 62
Signatures of metabolic diseases on spermatogenesis and testicular metabolism
Carrageta, D. F., Pereira, S., Ferreira, R. M., Monteiro, M. P., Oliveira, P. F., & Alves, M. G. (2024) · Nature Reviews Urology · doi:10.1038/s41585-024-00866-y · Cited by 65
Dietary Cholesterol and Lipid Overload: Impact on Male Fertility
Saez, F., & Drevet, J. R. (2019) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2019/4521786 · Cited by 58
Garcia, M., Thirouard, L., Sèdes, L., Monrose, M., Holota, H., Caira, F., Volle, D. H., & Beaudoin, C. (2018) · International Journal of Molecular Sciences · doi:10.3390/ijms19113630 · Cited by 58
Sanchez-Garrido, M. A., Ruíz-Pino, F., Velasco, I., Barroso, A., Fernandois, D., Heras, V., Manfredi-Lozano, M., Vazquez, M. J., Castellano, J. M., Roa, J., et al. (2017) · Endocrinology · doi:10.1210/en.2017-00705 · Cited by 62
Profiling of epididymal small non‐protein‐coding RNA s
Nixon, B., Iuliis, G. N. D., Dun, M. D., Zhou, W., Trigg, N. A., & Eamens, A. L. (2019) · Andrology · doi:10.1111/andr.12640 · Cited by 56
Sperm epigenetics and male infertility: unraveling the molecular puzzle
Hosseini, M., Khalafiyan, A., Zare, M., Karimzadeh, H., Bahrami, B., Hammami, B., & Kazemi, M. (2024) · Human Genomics · doi:10.1186/s40246-024-00626-4 · Cited by 62
McPherson, N. O., Lane, M., Sandeman, L., Owens, J. A., & Fullston, T. (2017) · Nutrients · doi:10.3390/nu9020122 · Cited by 57
Obesity and male fertility disorders
Cannarella, R., Crafa, A., Curto, R., Condorelli, R. A., Vignera, S. L., & Calogero, A. E. (2024) · Molecular Aspects of Medicine · doi:10.1016/j.mam.2024.101273 · Cited by 63
Bhadsavle, S. S., & Golding, M. C. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.1068408 · Cited by 57
DNA methylation in epigenetic inheritance of metabolic diseases through the male germ line
Illum, L. R. H., Bak, S. T., Lund, S., & Nielsen, A. L. (2018) · Journal of Molecular Endocrinology · doi:10.1530/jme-17-0189 · Cited by 51
Parrillo, L., Spinelli, R., Nicolò, A., Longo, M., Mirra, P., Raciti, G. A., Miele, C., & Bèguinot, F. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20122983 · Cited by 52
Suvorov, A., Shershebnev, A., Wu, H., Medvedeva, Y. A., Sergeyev, O., & Pilsner, J. R. (2017) · Reproductive Toxicology · doi:10.1016/j.reprotox.2017.10.009 · Cited by 50
Raad, G., Serra, F., Martin, L., Derieppe, M., Gilleron, J., Costa, V. L., Pisani, D. F., Amri, E., Trabucchi, M., & Grandjean, V. (2021) · eLife · doi:10.7554/elife.61736 · Cited by 50
Association of diabetes and obesity with sperm parameters and testosterone levels: a meta-analysis
Zhong, O., Ji, L., Wang, J., Lei, X., & Huang, H. (2021) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-021-00728-2 · Cited by 47
Costes, V., Chaulot‐Talmon, A., Sellem, E., Perrier, J., Aubert-Frambourg, A., Jouneau, L., Pontlevoy, C., Hozé, C., Fritz, S., Boussaha, M., et al. (2022) · Clinical Epigenetics · doi:10.1186/s13148-022-01275-x · Cited by 52
The effects of microbiota on reproductive health: A review
Wang, N., Chen, L., Yi, K., Zhang, B., Li, C., & Zhou, X. (2022) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2022.2117784 · Cited by 51
DNA Methylation Patterning and the Regulation of Beta Cell Homeostasis
Parveen, N., & Dhawan, S. (2021) · Frontiers in Endocrinology · doi:10.3389/fendo.2021.651258 · Cited by 48
Molecular Insight into the Interaction between Epigenetics and Leptin in Metabolic Disorders
Wróblewski, A. M., Strycharz, J., Świderska, E., Drewniak, K., Drzewoski, J., Szemraj, J., Kasznicki, J., & Śliwińska, A. (2019) · Nutrients · doi:10.3390/nu11081872 · Cited by 46
Molecular insights into the transgenerational inheritance of stress memory
Zhang, Q., & Tian, Y. (2021) · Journal of genetics and genomics/Journal of Genetics and Genomics · doi:10.1016/j.jgg.2021.11.015 · Cited by 51
Ali, W., Deng, K., Bian, Y., Liu, Z., & Zou, H. (2023) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2023.114889 · Cited by 50
Male reproductive health and intergenerational metabolic responses from a small RNA perspective
Nätt, D., & Öst, A. (2020) · Journal of Internal Medicine · doi:10.1111/joim.13096 · Cited by 46
The Transmission of Intergenerational Epigenetic Information by Sperm microRNAs
Lee, G. S., & Conine, C. C. (2022) · Epigenomes · doi:10.3390/epigenomes6020012 · Cited by 47
Epididymal acquired sperm microRNAs modify post-fertilization embryonic gene expression
Trigg, N. A., & Conine, C. C. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114698 · Cited by 47
Age-related alterations in the genetics and genomics of the male germ line
Herati, A. S., Zhelyazkova, B. H., Butler, P. R., & Lamb, D. J. (2017) · Fertility and Sterility · doi:10.1016/j.fertnstert.2016.12.021 · Cited by 45
Epigenetics and Type 2 Diabetes Risk
Dhawan, S., & Natarajan, R. D. (2019) · Current Diabetes Reports · doi:10.1007/s11892-019-1168-8 · Cited by 46
Metadata
- Authors
- de Castro Barbosa, T., Ingerslev, L. R., Alm, P. S., Versteyhe, S., Massart, J., Rasmussen, M., Donkin, I., Sjögren, R., Mudry, J. M., Vetterli, L., Gupta, S., Krook, A., Zierath, J. R., & Barrès, R.
- Affiliations
- University of Copenhagen (DK)
- Karolinska Institutet (SE)
- Corresponding author
- Barrès, Romain
- ORCID
- Venue
- Molecular Metabolism
- Publisher
- Elsevier BV
- Published
- 2016-03
- Volume
- 5
- Issue
- 3
- Pages
- 184-197
- ISSN
- 2212-8778 (ISSN-L)
- PMC
- PMC4770269
- OpenAlex
- W2203634181
- Cited by
- 417
- References
- 42
- Citations by year
- 2026: 22 · 2025: 30 · 2024: 52 · 2023: 40 · 2022: 38 · 2021: 58 · 2020: 38 · 2019: 44 · 2018: 45 · 2017: 35 · 2016: 14
- FWCI
- 31.29
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Molecular Metabolism (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Karolinska Institutet
- Vetenskapsrådet (2009-1068, 2011-3550)
- Diabetesförbundet (DIA2012-082)
- European Research Council (233285)
- Novo Nordisk Fonden
- Fredrik och Ingrid Thurings Stiftelse (4-3202/2013)
- Stiftelsen för Strategisk Forskning (10-0027)
- Topics
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Birth, Development, and Health
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Health Sciences › Medicine › Reproductive Medicine › Sperm and Testicular Function
- Keywords
- high-fat diet, transgenerational epigenetic inheritance, sperm epigenome, DNA methylation, small RNA, let-7c microRNA, paternal diet, insulin resistance, beta-cell mass, body weight, metabolic reprogramming, spermatozoa
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review