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1.
J Reprod Immunol ; 163: 104225, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38518419

ABSTRACT

The maternal-fetal interaction has been hypothesized to involve the human leucocyte antigen (HLA). It has been suggested that excessive HLA antigen sharing between spouses is a mechanism causing maternal hyporesponsiveness to paternal antigens encountered during pregnancy and thus leading to a miscarriage. Participants in this retrospective study are RIF and RPL couples who visited Gunasheela Surgical and Maternity Hospital, Bangalore, India from November 2019 to September 2022. A total of 40 couples with RIF and 195 couples with RPL are included in the study. We observed that the DQB1*02:01:01 allele is associated with an increase in risk of both RIF and RPL, while the C*12:02:01 allele increases risk of only RPL. On the contrary, DQB1*02:02:01 and DQB1*06:03 alleles appear to be protective against both RPL and RIF. In addition, the C*07:02:01 allele was observed to be protective against RPL. In conclusion, C*12:02:01 and DQB1*02:01:01 could play a major role in RPL which is consistent with other studies, while DQB1*02:01:01 is the risk allele in our RIF group. The protective alleles C*07:02:01 in the RPL group, DQB1*02:02:01, and DQB1*06:03 in both RIF and RPL, were discovered for the first time. Allele frequencies will vary in population-based studies depending on the ethnicities of the cohort. Meta-analysis and antibody testing will provide additional insights on whether and how this data can be adopted into clinical practices.


Subject(s)
Abortion, Habitual , Gene Frequency , HLA-DQ beta-Chains , HLA-DRB1 Chains , Humans , Female , Retrospective Studies , Abortion, Habitual/genetics , Abortion, Habitual/immunology , India , Pregnancy , Male , Adult , HLA-DQ beta-Chains/genetics , HLA-DRB1 Chains/genetics , Genetic Predisposition to Disease , Alleles , HLA-C Antigens/genetics , HLA-C Antigens/immunology , HLA-B Antigens/genetics , HLA-A Antigens/genetics , Embryo Implantation/immunology , Embryo Implantation/genetics
2.
Diabetes Metab Syndr ; 15(6): 102303, 2021.
Article in English | MEDLINE | ID: mdl-34626923

ABSTRACT

BACKGROUND AND AIMS: The pharmacotherapy of diabetes mellitus has a colossal economic burden, which demands cost-effective therapy, as the patients have to be on treatment lifelong. Thus, our study aimed to study cost variation and effectiveness analysis among type 2 diabetic patients. METHODOLOGY: We conducted ambi-spective research for the adult type 2 diabetes patients who underwent substitution of branded anti-diabetic therapy with the generic alternative from "Jan Aushadhi" for more than one month and were not using any other anti-diabetic medicines. RESULTS: Among the monotherapy, glimepiride (2500%) and vildagliptin (20%) were found to have wide and narrow percentage cost variation respectively whereas, metformin Hcl 500 mg plus voglibose 0.2 mg was estimated to have the highest (891.7%), and teneligliptin 20 mg plus metformin 500 mg with the lowest (137.29%) cost variation in case of combined therapy. Similarly, generic substitutions were cost-effective in most patients, whereas the increased cost of brand drugs didn't justify its effectiveness. There was no significant difference between glycated hemoglobin (HbA1c) of brand and generic anti-diabetic drugs (t = 0.774, p = 0.22). CONCLUSION: The adaptation of generic drugs can significantly reduce the economic burden of treatment. Thus, healthcare professionals should promote generic medicines by prescribing & dispensing generic drugs and erasing misconceptions prevailing among patients.


Subject(s)
Biomarkers/blood , Cost-Benefit Analysis , Diabetes Mellitus, Type 2/economics , Drugs, Generic/economics , Glycated Hemoglobin/analysis , Hypoglycemic Agents/economics , Pharmacies/statistics & numerical data , Blood Glucose/analysis , Diabetes Mellitus, Type 2/drug therapy , Drug Therapy, Combination , Drugs, Generic/therapeutic use , Female , Follow-Up Studies , Humans , Hypoglycemic Agents/classification , Hypoglycemic Agents/therapeutic use , India , Male , Middle Aged , Prognosis
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