The impact of circadian rhythms on biomolecular set points: implications for disease diagnosis and monitoring

Abstract Laboratory data must be both analytically accurate and interpreted with clinically accuracy for safeguarding patient safety. However, variations – both analytical and biological – are inherent in all measurements obtained from patient samples. Biological variation observed in laboratory data can be broadly classified into two main categories: random and systematic variation. Among the systematic sources, in particular, circadian rhythms may have a significant influence on laboratory measurements. Understanding and recognizing the effects of circadian rhythms on both reference intervals and measurement results of analytes in both healthy individuals and patients is hence essential for enabling the accurate interpretation of laboratory data. In this review, we briefly discuss the major types of variation influencing laboratory data, with particular emphasis on systematic variation. We provide a detailed analysis of circadian rhythms and their impact on analyte concentrations and reference intervals, discuss the concept of set points and their variability in the context of diagnosis and monitoring of diseases, and examine mathematical models used to estimate physiological rhythms along with their respective advantages and limitations.

Authors

Institutions

Publication Details

Journal
Turkish Journal of Biochemistry
Published
2025-11-12
DOI
https://doi.org/10.1515/tjb-2025-0270
Primary Topic
Clinical Laboratory Practices and Quality Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The impact of circadian rhythms on biomolecular set points: implications for disease diagnosis and monitoring

Zelal Zuhal Kaya, Giuseppe Lippi, Abdurrahman Coşkun
Turkish Journal of Biochemistry
Clinical Laboratory Practices and Quality Control
article

The impact of circadian rhythms on biomolecular set points: implications for disease diagnosis and monitoring

Zelal Zuhal Kaya, Giuseppe Lippi, Abdurrahman Coşkun
article en

Abstract

Abstract Laboratory data must be both analytically accurate and interpreted with clinically accuracy for safeguarding patient safety. However, variations – both analytical and biological – are inherent in all measurements obtained from patient samples. Biological variation observed in laboratory data can be broadly classified into two main categories: random and systematic variation. Among the systematic sources, in particular, circadian rhythms may have a significant influence on laboratory measurements. Understanding and recognizing the effects of circadian rhythms on both reference intervals and measurement results of analytes in both healthy individuals and patients is hence essential for enabling the accurate interpretation of laboratory data. In this review, we briefly discuss the major types of variation influencing laboratory data, with particular emphasis on systematic variation. We provide a detailed analysis of circadian rhythms and their impact on analyte concentrations and reference intervals, discuss the concept of set points and their variability in the context of diagnosis and monitoring of diseases, and examine mathematical models used to estimate physiological rhythms along with their respective advantages and limitations.

Turkish Journal of Biochemistry
University of Verona (IT), İstanbul Nişantaşı Üniversitesi (TR), Kent Hastanesi (TR)
Openalex Percentile: Top 58%
Clinical Laboratory Practices and Quality Control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.