Background: Primary hypothyroidism (PH) is a common chronic life style disorder. Whole system Ayurveda protocol on PH (WSAPH) is explored for it's possible complimentary role in the management of suboptimal controlled PH on stable levothyroxine therapy.
Objective: To evaluate the efficacy of whole system Ayurveda protocol on Primary hypothyroidism with suboptimal response to stable levothyroxine therapy.
Material And Methods: Study was a randomized controlled trial. Total 46 known patients of suboptimal response to stable levothyroxine therapy, age group 20-60 years of either sex participated in the study. They were randomly placed in two groups, Group KG received Kanchanara guggulu two tablets of 500 mg each, thrice a day with water and group WSAPH was on whole system Ayurveda protocol for primary hypothyroidism (WSAPH). Interventions were for 60 days. Assessments were done through various parameters like Thyroid profiles (TSH, T3, T4, Free T4), Weight, BMI, Skin fold thickness (SFT), Body fat index (BFI), Waist hip ratio (WHR), Lipid profile, Zulewskis clinical score for hypothyroidism (ZUL), WHO Quality of Life- BREF (WHOQOL-BREF), Clinical Global Improvement scales (CGI). Clinical assessments were done on every 15th day and biochemical were done before and after interventions.
Results: Study showed that WSAPH group produced significant outcome improvement compared to KG group in TSH (p = 0.02), weight (p = 0.02), SFT (p = 0.04), BFI (p = 0.01), WHOQOL-BREF (p = 0.004) and ZUL (p = 0.02). Both the group showed improvements in BMI, WHR, BFI, SFT, WHOQOL-BREF, ZUL, CGI scales. Effect size was medium in TSH, weight, BFI, SFT and ZUL.
Conclusion: WSAPH was effective in management of PH and normalized TSH and ZUL scores in patients with suboptimal response to stable levothyroxine therapy. Further studies are needed.
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http://dx.doi.org/10.1016/j.jaim.2024.101052 | DOI Listing |
Front Med (Lausanne)
January 2025
Department of Medicine, Division of Hematology and Oncology, University of California, San Francisco, San Francisco, CA, United States.
Drug Deliv Transl Res
January 2025
Dr. Hari Singh Gour Central University, Sagar, 470003, MP, India.
Cancer treatments such as surgery and chemotherapy have several limitations, including ineffectiveness against large or persistent tumors, high relapse rates, drug toxicity, and non-specificity of therapy. Researchers are exploring advanced strategies for treating this life-threatening disease to address these challenges. One promising approach is targeted drug delivery using prodrugs or surface modification with receptor-specific moieties for active or passive targeting.
View Article and Find Full Text PDFCureus
December 2024
Shobhaben Pratapbhai Patel School of Pharmacy and Technology Management, SVKM's Narsee Monjee Institute of Management Studies (NMIMS) Deemed to be University, Mumbai, IND.
Purpose: Diabetic encephalopathy (DE) is one of the complications of diabetes that affects the brain. In the Ayurveda system of medicine, Vasant Kusumakar Rasa (VKR) is cited as a classical herbo-mineral formulation for diabetes. However, the role of VKR in DE is still unclear.
View Article and Find Full Text PDFJ Ethnopharmacol
January 2025
Drug Discovery and Development Division, Patanjali Research Foundation, Haridwar, 249 405, Uttarakhand, India; Special Centre for Systems Medicine, Jawaharlal Nehru University, New Delhi 110 067, India. Electronic address:
Ethnopharmacological Relevance: Mukta Pishti (MKP) is a traditional Ayurvedic medicine described in classical textbook 'Rasatarangini' and synthesized from marine pearls following classical methodology. MKP is used as therapeutic medicine against hyperacidity, irritable bowel syndrome, and gastric ulcers.
Aim Of The Study: Here, we explored the therapeutic properties of MKP in alleviating peptic ulcer in male Wistar rat model of pylorus ligation.
Healthc Technol Lett
January 2025
This study aimed to develop an advanced ensemble approach for automated classification of mental health disorders in social media posts. The research question was: can an ensemble of fine-tuned transformer models (XLNet, RoBERTa, and ELECTRA) with Bayesian hyperparameter optimization improve the accuracy of mental health disorder classification in social media text. Three transformer models (XLNet, RoBERTa, and ELECTRA) were fine-tuned on a dataset of social media posts labelled with 15 distinct mental health disorders.
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