Exploring the Impact of Sodium Arsenite on Lipid Metabolism in Heteropneustes fossilis and the Potential Chelating Effect of Zeolite | Chapter 8 | Innovations in Biological Science Vol. 3

Arsenic toxicity is a global health problem affecting many millions of people. Arsenic, the metal pollutant found naturally in groundwater and unnaturally in mine waste sites and agricultural runoff, has been considered toxic to humans for several millennia. In the present work the effect of different concentrations of sodium arsenite on lipid metabolism in Heteropneustes fossilis, and the chelating effect of synthetic zeolite was studied from liver.
 
Fishes were exposed to two different concentrations of sodium arsenite (200 ml and 400 ml of 1% solution), for 3 different durations (3days, 7 days and 15 days). The concentrations of total Cholesterol (F=6.35>3.84 at 5% P), HDL (F=14.91>6.83 at 5% P), LDL (F=10.11>1.39at 5% P) and triglyceride (F=42.1>19.34 at 5% P) was found significantly increased along with increasing concentration and duration of sodium arsenite. The toxic effect was found recovered after the application of synthetic zeolite for all parameters, i.e., total cholesterol (F=8.04>3.12 at 5%P), HDL (F=14.96>6.83 at 5%P), LDL (F=1.57>1.39 at 5% P) and triglyceride (F=26.28>19.34 at 5% P). Statistical analysis of the results was done by two-way ANOVA.
 
The results suggest that zeolite is a potential compound for decreasing significantly the load of toxicity of arsenic in aquatic fauna.

Author(s) Details:

Jayasree Balasubramanian,
Department of Zoology, St. Thomas College, Bhilai, CG, India.

Anil Kumar,
Department of Zoology, Govt.V.Y.T.PG. Autonomous College, Durg, CG, India.

Please see the link here: https://stm.bookpi.org/IBS-V3/article/view/14248

Inflammatory Indicators Associated with Hypothyroidism | Chapter 9 | Advanced Concepts in Medicine and Medical Research Vol. 1

 Emerging controlled evidence has suggested that changed thyroid hormones can influence lipid metabolism and lead to dyslipidemia in hypothyroid sufferers. Inflammatory markers are more important factors to recognize and prognoses the status of hypothyroidism. Hypothyroidism is a dispassionate syndrome resulting from the inadequacy of thyroid hormones, which results from lowered secretion of both T4 (thyroxine) and T3 (triiodothyronine), heedless of the cause, resulting in a statement slowing unhappy of metabolic processes. Numerous findings suggest that hypothyroidism was a very influenced accompanying TNF-α, IL 6, and IL 1. In this chapter, we review the role of instigative markers in hypothyroidism. It seems that for early disease and prevention, these markers maybe used in hypothyroidism so that improve their prognosis.

Author(s) Details:

Jaswant Kaur,
Department of Biochemistry, Dr. S.S. Tantia Medical College, Hospital & Research Center, Sri Ganganagar, India.

Mridula Mittal,
Department of Physiology, Adesh Medical College, Bathinda, Punjab, India.

Jaspreet Kaur,
Department of Biochemistry, North Delhi Municipal Corporation Medical College, Hindu Rao Hospital, Malka Ganj, New Delhi, India.

Navdeep Kaur,
Department of Biochemistry, Acharya Shri Chander College of Medical Sciences and Hospital, Jammu, India.

Rajesh Kumar,
Department of Anatomy, NC Medical College & Hospital, Panipat, Haryana, India.

Rishu,
Department of Microbiology, Guru Gobind Singh Government Medical College, Faridkot, India.

Please see the link here: https://stm.bookpi.org/ACMMR-V1/article/view/12306

Characteristics of Gut Microbiota and Metabolomics Associated with Disorders of Lipid Metabolism in Thyroid Cancer | Chapter 2 | Perspective of Recent Advances in Medical Research Vol. 4

 The study's aim search out research the connection between the gut microbiota society, metabolites, and the growth of changed thyroid tumor (TC). The parts and characteristics of the polluted microbiota and metabolites from 50 inmates accompanying TC and 58 active controls(HCs) were driven utilizing 16S rRNA deoxyribonucleic acid sequencing and an joined LC-MS-located metabolomics means.  In the TC inmates, skilled was a important decline in the sort and copiousness of the gut microbiota. The gut microbiota's composition had sustained a large change, and the Bacteroides enterotype ruled it in TC cases. Furthermore, the demonstrative genuineness of the linked model (three type and eight metabolites) and the metabolite model (six metabolites) for changing TC cases from HCs were particularly degree those of the microbial model (seven type). LEfSe reasoning illustrated that type (g_Christensenellaceae_R-7_group, g_Eubacterium_coprostanoligenes_group) and metabolites [27-hydroxycholesterol (27HC), cholesterol] approximately had connection with lipid absorption were considerably lowered in the TC group. In addition, a dispassionate antitoxin sign (total cholesterol) and metabolites (27HC and cholesterol) had the most powerful influence on the sample disposal. Additionally, in the TC group, working pathways complicated in steroid result and lipid digesting were restrained. 27HC was really equated accompanying bacteria that were complicated in absorption in the microbiota-metabolite network (g Christensenellaceae R-7 group). Our study look at the traits of TC victims' gut microbiota. The results concerning this study will aid in recognizing risk variables that impact TC establishment and occurrence in the stomach microecology.

Author(s) Details:

Ganghua Lu,
Department of Nuclear Medicine, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.

Xiaqing Yu,
Department of Nuclear Medicine, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.

Wen Jiang,
Department of Nuclear Medicine, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.

Qiong Luo,
Department of Nuclear Medicine, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200092, China and Clinical Nuclear Medicine Center, Tongji University School of Medicine, Shanghai, 200072, China.

Junyu Tong,
Department of Nuclear Medicine, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200092, China and Clinical Nuclear Medicine Center, Tongji University School of Medicine, Shanghai, 200072, China.

Suyun Fan,
Department of Nuclear Medicine, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200092, China and Clinical Nuclear Medicine Center, Tongji University School of Medicine, Shanghai, 200072, China.

Li Chai,
Department of Nuclear Medicine, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200092, China and Clinical Nuclear Medicine Center, Tongji University School of Medicine, Shanghai, 200072, China.

Dingwei Gao,
Department of Nuclear Medicine, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.

Tingting Qiao,
Department of Nuclear Medicine, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.

Ru Wang,
Department of Nuclear Medicine, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.

Chengwen Deng,
Department of Nuclear Medicine, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200092, China.

Zhongwei Lv,
Department of Nuclear Medicine, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200092, China, Clinical Nuclear Medicine Center, Tongji University School of Medicine, Shanghai, 200072, China, Imaging Clinical Medical Center, Tongji University School of Medicine, Shanghai, 200072, China and Institute of Nuclear Medicine, Tongji University School of Medicine, Shanghai, 200072, China.

Dan Li,
Department of Nuclear Medicine, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510289, China.

Please see the link here: https://stm.bookpi.org/PRAMR-V4/article/view/9127