中性粒细胞、淋巴细胞计数和中性粒细胞/淋巴细胞比率的时间趋势、性别差异和年龄相关疾病的影响:来自InCHIANTI随访研究的结果

IF 5.2 2区 医学 Q1 GERIATRICS & GERONTOLOGY
Raffaello Pellegrino, Roberto Paganelli, Angelo Di Iorio, Stefania Bandinelli, Antimo Moretti, Giovanni Iolascon, Eleonora Sparvieri, Domiziano Tarantino, Luigi Ferrucci
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引用次数: 0

摘要

背景:中性粒细胞和淋巴细胞在所有白细胞中所占的比例较大,它们随年龄的变化而变化,在生命的最初几年比例逐渐增加,然后在成年后趋于稳定状态。中性粒细胞与淋巴细胞比率(NL-ratio)被认为是监测和预测几种临床疾病演变的有效和低成本的标志物。该研究的主要目的是分析其时间趋势变化,超过20年的随访,根据年龄,性别和主要临床诊断,在一个具有代表性的意大利人口中。方法:InCHIANTI研究从意大利托斯卡纳的两个城镇登记名单中招募代表性样本。基线数据于1998年收集,最后一次随访于2015-18年进行。1453名参与者中有1343人被纳入,并同意捐献血液样本。对所有受试者的生活方式、临床状况、身体表现进行评估和随访,并进行仪器诊断。结果:nl -比值在出生队列与研究时间之间存在显著的交互作用(p值= 0.005)。中性粒细胞绝对计数和中性粒细胞比例存在性别二态性。此外,仅在女性参与者中,报告CHF的患者中性粒细胞计数和nl比率较低;而肌酐清除率的增加与nl -比值直接相关。在男性受试者中,BMI的增加与随访期间nl比率和中性粒细胞计数呈负相关;在女性参与者中也观察到类似的关联,但方向相反。结论:nl比绝对淋巴细胞和/或中性粒细胞计数更可靠地预测健康衰老。它与疾病、生活方式和免疫系统环境挑战引起的变化有关。nl比率证实了炎症性疾病发生中的性别二态性,从而为针对性别的措施预防和治疗此类疾病的必要性提供了额外的证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Temporal trends, sex differences, and age-related disease influence in Neutrophil, Lymphocyte count and Neutrophil to Lymphocyte-ratio: results from InCHIANTI follow-up study.

Temporal trends, sex differences, and age-related disease influence in Neutrophil, Lymphocyte count and Neutrophil to Lymphocyte-ratio: results from InCHIANTI follow-up study.

Temporal trends, sex differences, and age-related disease influence in Neutrophil, Lymphocyte count and Neutrophil to Lymphocyte-ratio: results from InCHIANTI follow-up study.

Background: Neutrophils and lymphocytes represent the larger percentage of all white blood cells, they vary with age, with a progressive increase of the ratio in the first years of life, and then tend to remain at similar levels in steady state condition during adult age. Neutrophils to lymphocytes-ratio (NL-ratio) was proposed as an effective and low-cost marker to monitor and predict the evolution of several clinical conditions. The main objective of the study is to analyze its temporal trend variation, over twenty years' follow-up, according to age, sex, and main clinical diagnosis, in a large representative Italian population.

Methods: The InCHIANTI study enrolled representative samples from the registry list of two towns in Tuscany, Italy. Baseline data were collected in 1998, and last follow-up visits were made in 2015-18. 1343 out of the 1453 participants enrolled were included, and consented to donate a blood sample. All subjects were assessed and followed for life-style, clinical condition, physical performance, and underwent an instrumental diagnostic session.

Results: The NL-ratio showed a statistically significant interaction between birth-cohort and time of the study (p-value = 0.005). A gender dimorphism was recognized in the neutrophils absolute count and in the NL-ratio. Moreover, in female participants only, those who reported CHF had lower neutrophil-count and NL-ratio; whereas an increase in creatinine clearance was directly associated with NL-ratio. In male subjects, an increase of BMI was inversely associated with both NL-ratio and neutrophils-count during the follow-up; a similar association but in the opposite direction was observed in female participants.

Conclusion: NL-ratio is a more reliable predictor of healthy aging than absolute lymphocytes and/or neutrophils counts. It is associated with the changes induced by disease, lifestyle, and environmental challenges in the immune system. NL-ratio confirms the gender dimorphism in the occurrence of inflammation-driven diseases, thus providing additional evidence for the necessity of tailored sex-specific measures to prevent and treat such diseases.

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来源期刊
Immunity & Ageing
Immunity & Ageing GERIATRICS & GERONTOLOGY-IMMUNOLOGY
CiteScore
10.20
自引率
3.80%
发文量
55
期刊介绍: Immunity & Ageing is a specialist open access journal that was first published in 2004. The journal focuses on the impact of ageing on immune systems, the influence of aged immune systems on organismal well-being and longevity, age-associated diseases with immune etiology, and potential immune interventions to increase health span. All articles published in Immunity & Ageing are indexed in the following databases: Biological Abstracts, BIOSIS, CAS, Citebase, DOAJ, Embase, Google Scholar, Journal Citation Reports/Science Edition, OAIster, PubMed, PubMed Central, Science Citation Index Expanded, SCImago, Scopus, SOCOLAR, and Zetoc.
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