Histopathological fingerprints and biochemical changes as multi-stress biomarkers in fish confronting concurrent pollution and parasitization

The current investigation examined histopathological and serum biochemical profiles to assess the interactive effects of river Saraswati's impaired physicochemical regime and parasite infection by ectoparasites (<i>Trichodina</i> sp., <i>Gyrodactylus</i> sp.) and endoparasites (<i>Eustrongylides</i> sp.) on health of fish (<i>Channa punctatus</i>). This study aimed at assessing the synergistic effects of the degraded water quality and parasitization on fish health looking through the lens of histopathology and serum biochemistry. Low dissolved O<sub>2</sub>, high free CO<sub>2</sub>, biochemical oxygen demand (BOD), and chemical oxygen demand (COD) indicate deteriorating water quality due to organic loading. The histopathological investigations revealed distinctive histopathological changes in gill, liver, and kidney of the fish as "signature" impairments inflicted by chronic (co)exposure to pollution and/or parasitization. Stress enzymes and altered serum biochemistry furnish excellent indicators of fish health because of their correlation with pollution and parasitization. Destined in a vicious cycle, fish health becomes adversely affected by degrading water qualities and parasitic infection in solo or combo.

Authors

Institutions

Publication Details

Journal
iScience
Published
2024-11-19
DOI
https://doi.org/10.1016/j.isci.2024.111432
Citations
10
Primary Topic
Parasite Biology and Host Interactions
Type
article
Field-Weighted Citation Impact
4.59

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Histopathological fingerprints and biochemical changes as multi-stress biomarkers in fish confronting concurrent pollution and parasitization

Jayanta Kumar Biswas, Sasanka Pramanik
10 citations
iScience
Parasite Biology and Host Interactions
4.59
article

Histopathological fingerprints and biochemical changes as multi-stress biomarkers in fish confronting concurrent pollution and parasitization

Jayanta Kumar Biswas, Sasanka Pramanik
article en
10 citations

Abstract

The current investigation examined histopathological and serum biochemical profiles to assess the interactive effects of river Saraswati's impaired physicochemical regime and parasite infection by ectoparasites (<i>Trichodina</i> sp., <i>Gyrodactylus</i> sp.) and endoparasites (<i>Eustrongylides</i> sp.) on health of fish (<i>Channa punctatus</i>). This study aimed at assessing the synergistic effects of the degraded water quality and parasitization on fish health looking through the lens of histopathology and serum biochemistry. Low dissolved O<sub>2</sub>, high free CO<sub>2</sub>, biochemical oxygen demand (BOD), and chemical oxygen demand (COD) indicate deteriorating water quality due to organic loading. The histopathological investigations revealed distinctive histopathological changes in gill, liver, and kidney of the fish as "signature" impairments inflicted by chronic (co)exposure to pollution and/or parasitization. Stress enzymes and altered serum biochemistry furnish excellent indicators of fish health because of their correlation with pollution and parasitization. Destined in a vicious cycle, fish health becomes adversely affected by degrading water qualities and parasitic infection in solo or combo.

iScienceVol. 27(12)
University of Kalyani (IN), Serampore College (IN)
Department of Science and Technology, Ministry of Science and Technology, India, University of Kalyani
Life below water
Openalex Percentile: Top 5%
Parasite Biology and Host Interactions
4.59
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.