Abat C, Rolain J-M, Colson P
Aix-Marseille Université, Institut de Recherche pour le Développement IRD, Assistance Publique-Hôpitaux de Marseille (AP-HM), Microbes, Evolution, Phylogeny and Infection (MEΦI), Institut Hospitalo-Universitaire (IHU) Méditerranée Infection, Marseille, France.
New Microbes New Infect. 2018 Sep 6;26:S37-S42. doi: 10.1016/j.nmni.2018.08.019. eCollection 2018 Nov.
Food-borne infections are major causes of public health concern in developing and developed countries. During the past decade, the Institut Hospitalo-Universitaire Méditerranée Infection has conducted or been involved in multiple investigations that aimed at identifying the sources and strains responsible for food-borne diseases and therefore at improving the understanding, diagnosis, prevention and control of these infections. Investigations were conducted in the Mediterranean area and in sub-Saharan Africa on more than 15 food-borne agents, 17 food products and 14 antibiotic resistance-associated genes. Multiple sources, including unexpected ones, and pathogens, including emerging ones, were involved. Travelling in developing countries and zoonoses are major contributors to food-borne infections, while food-borne transmission of resistance-associated genes is increasingly reported. However, risk factors and pathogens associated with food-borne infections likely remain untapped and must be more extensively investigated, monitored and regularly reassessed. Diagnostic tests based on new technologies and real-time surveillance tools based on microbiology laboratory data are promising approaches to detect known food-borne infections and decipher new ones. Studies of the microbiota and its relationships with dietary patterns are also worth being conducted.
食源性感染是发展中国家和发达国家公共卫生关注的主要原因。在过去十年中,地中海感染大学医院研究所开展了或参与了多项调查,旨在确定食源性疾病的来源和菌株,从而增进对这些感染的理解、诊断、预防和控制。在地中海地区和撒哈拉以南非洲对15种以上食源性病原体、17种食品和14种抗生素耐药相关基因进行了调查。涉及多种来源,包括意想不到的来源,以及病原体,包括新出现的病原体。在发展中国家旅行和人畜共患病是食源性感染的主要促成因素,而耐药相关基因的食源性传播报道越来越多。然而,与食源性感染相关的风险因素和病原体可能仍未被充分发掘,必须进行更广泛的调查、监测和定期重新评估。基于新技术的诊断测试和基于微生物实验室数据的实时监测工具是检测已知食源性感染和破解新感染的有前景的方法。微生物群及其与饮食模式关系的研究也值得开展。