Evidence map›Paper›PMID 40468922›Full record

ReviewCurrent topics in medicinal chemistry2025

Neurological Inflammation in Parkinsonism: Current Prognosticative Diagnostics and Pitfalls.

Thangavel Lakshmipriya, Subash C B Gopinath, Yeng Chen, Sreenivasan Sasidharan, Evan T Salim, Makram A Fakhri

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In one paragraph

Review in Current topics in medicinal chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Thangavel LakshmipriyaCenter for Global Health Research, Saveetha Medical College & Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai 602105, Tamil Nadu, India.
Subash C B GopinathFaculty of Chemical Engineering & Technology.
Yeng ChenDepartment of Oral and Craniofacial Sciences, Faculty of Dentistry, Universiti Malaya, Kuala Lumpur 50603, Malaysia.
Sreenivasan SasidharanInstitute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia (USM), Pulau Pinang 11800, Malaysia.
Evan T SalimCollege of Applied Sciences, University of Technology-Iraq, Baghdad 10066, Iraq.
Makram A FakhriCollege of laser and Optoelectronics, University of Technology-Iraq, Baghdad 10066, Iraq.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease (PD) is a persistent neurological degenerative condition that can significantly alter one's quality of life. This condition affects the substantia nigra, the region of the brain that contains dopamine-producing neurons. It is a disorder of the central nervous system that arises when nerve cells, or neurons, in this brain area are damaged or die. Norepinephrine, another chemical messenger that aids in controlling primary physiological processes, such as heart rate and blood pressure, is also deficient in PD patients. The symptoms of PD can interfere with daily activities and include fatigue, walking difficulties, limb rigidity, and loss of smell. Researchers are striving to identify a reliable biomarker for Parkinson's disease. Currently, the Food and Drug Administration has approved the radiotracer I-123-ioflupane injection followed by scanning (DATscan- SPECT) for precise analysis. To diagnose Parkinson's disease early, researchers are developing predictive diagnostic techniques using various biomarkers. The right biosensor can recommend the best personalized course of action to slow the progression of Parkinson's disease. This review highlights the strong performance of diagnostic biomarkers for Parkinson's disease and emphasizes the effectiveness of the common immuno-, apta- and DNA-sensors for their efficient implementations for different biomarkers. Further, it also discusses the potential advantages and drawbacks associated with detection methods for improving high-performance diagnostics.

Indexed as

Neuroinflammatory DiseasesParkinson DiseaseParkinsonian DisordersBiomarkersHumansPrognosisBiomarkersBiomarkerBiosensorDopamineNanotechnologyNeuroinflammationParkinson's disease

Identifiers

What OpenQuestion holds

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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 OpenQuestion graph.