Evidence mapPaperPMID 41677713Full record

ReviewBiology2026

Chronopharmacology-Driven Precision Therapies for Time-Optimized Cardiometabolic Disease Management.

Shakta Mani Satyam, Sainath Prabhakar, Mohamed El-Tanani, Bhoomendra Bhongade, Adil Farooq Wali, Imran Rashid Rangraze, Ismail Ibrahim Ali Matalka, Yahia El-Tanani, Manfredi Rizzo, Sorina Ispas and 4 more

Abstract readReview
In one paragraph

Review in Biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Shakta Mani SatyamDepartment of Pharmacology, RAK College of Medical Sciences, RAK Medical and Health Sciences University, Ras Al Khaimah 11172, United Arab Emirates.ORCID 0000-0001-5761-2073
Sainath PrabhakarDepartment of Perfusion Technology, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal 576104, Karnataka, India.ORCID 0000-0002-9919-4444
Mohamed El-TananiRAK College of Pharmacy, RAK Medical and Health Sciences University, Ras Al Khaimah 11172, United Arab Emirates.
Bhoomendra BhongadeRAK College of Pharmacy, RAK Medical and Health Sciences University, Ras Al Khaimah 11172, United Arab Emirates.ORCID 0000-0002-4057-7125
Adil Farooq WaliRAK College of Pharmacy, RAK Medical and Health Sciences University, Ras Al Khaimah 11172, United Arab Emirates.ORCID 0000-0003-1555-2820
Imran Rashid RangrazeDepartment of Internal Medicine, RAK College of Medical Sciences, RAK Medical and Health Sciences University, Ras Al Khaimah 11172, United Arab Emirates.
Ismail Ibrahim Ali MatalkaDepartment of Pathology, RAK College of Medical Sciences, RAK Medical and Health Sciences University, Ras Al Khaimah 11172, United Arab Emirates.ORCID 0000-0003-4999-2242
Yahia El-TananiRoyal Cornwall Hospital Trust, National Health Service (NHS), Truro TR1 3LJ, UK.
Manfredi RizzoDepartment of Health Promotion Sciences, Maternal and Infant Care, Internal Medicine and Medical Specialties (PROMISE), School of Medicine, University of Palermo, 90127 Palermo, Italy.ORCID 0000-0002-9549-8504
Sorina IspasDepartment of Anatomy, Faculty of Medicine, Ovidius University, 900470 Constanta, Romania.
Ioannis IliasDepartment of Endocrinology, Hippokration Hospital, 11527 Athens, Greece.ORCID 0000-0001-5718-7441
Anna PaczkowskaDepartment of Pharmacoeconomics and Social Pharmacy, Poznan University of Medical Sciences, 61-701 Poznań, Poland.ORCID 0000-0002-0058-2632
Viviana MaggioDepartment of Health Promotion Sciences, Maternal and Infant Care, Internal Medicine and Medical Specialties (PROMISE), School of Medicine, University of Palermo, 90127 Palermo, Italy.
Karolina HoffmannDepartment and Clinic of Internal Diseases and Metabolic Disorders, Poznan University of Medical Sciences, 61-701 Poznań, Poland.ORCID 0000-0001-6148-4094

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiometabolic diseases, including hypertension, type 2 diabetes, dyslipidemia, and obesity, along with their cardiovascular complications, remain leading causes of morbidity and mortality worldwide, imposing significant public health, economic, and societal burdens. Conventional pharmacological therapies often show limited efficacy and increased adverse effects because they do not account for the body's intrinsic circadian rhythms, which regulate organ function, drug absorption, and metabolism. Chronopharmacology, which aligns treatment timing with these biological rhythms, offers a strategy to enhance therapeutic outcomes. This review presents a comprehensive analysis of chronopharmacology principles applied to cardiometabolic disease management, integrating molecular, physiological, and clinical perspectives. It examines how core clock genes and tissue-specific circadian patterns influence drug action and absorption and summarizes evidence-based time-optimized interventions for hypertension, diabetes, dyslipidemia, obesity, and multimorbid patients. Furthermore, the review highlights emerging innovations, including artificial intelligence-guided dosing, circadian-biomarker-informed therapy selection, and wearable digital devices for real-time monitoring of biological rhythms. By synthesizing mechanistic and clinical insights, circadian-aligned treatment strategies are shown to improve drug efficacy, reduce adverse effects, and support the development of precision, rhythm-based therapeutics, offering a practical framework for personalized cardiometabolic disease care.

Indexed as

cardiometabolic diseaseschronopharmacologychronotherapycircadian rhythmshypertensionprecision medicinetime-optimized therapeuticstype 2 diabetes mellitus

Identifiers

PMID41677713
PMCPMC12896478

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.